We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data.

Principal Responsibilities:

• Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

• Optimise existing components for latency, throughput, and CPU/memory efficiency.

• Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.

• Profile and debug performance issues at application, OS, and network levels.

• Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.

• Write clean, production-quality code with appropriate tests and documentation.

• Participate in code reviews, design discussions, and continuous improvement of engineering practices.

Required Qualifications:

• Strong proficiency in modern C++ (C++17/20 or later).

• 5+ years of experience.

• Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.

• Familiar with basics statistics as applied to financial research.

• Proven experience building performance-critical, real-time, or low-latency systems.

• Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.

• Experience using profiling, benchmarking, and performance analysis tools.

• Proficiency with version control (Git) and standard build systems.

• Excellent problem-solving skills and attention to detail.

• Strong interpersonal skills with a proven ability to navigate large organisations.

Preferred Qualifications:

• Experience with kernel bypass or user-space networking technologies.

• Familiarity with AI productivity enhancing coding tools.

• Experience in financial markets, market data distribution, order routing, or exchange connectivity.

• Experience with monitoring/telemetry for high-performance systems.

• Familiarity with scripting languages for tooling and automation.

• AI: Familiarity with AI productivity enhancing coding tools.

Personal Attributes:

• Obsessed with performance, measurement, and data-driven optimisation.

• Comfortable owning features end-to-end and operating in a production environment.

• Clear communicator who can work closely with both technical and non-technical stakeholders.

• Proactive, self-directed, and able to thrive in a highly iterative environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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Key Responsibilities:

Datacentre & Tech Room Operation

• Own the physical operation of the datacentres (power, cooling, space, cabling, security) and office technology rooms.
• Perform racking/stacking, structured cabling (copper/fibre), labelling, patching, and cable hygiene.
• Manage hardware lifecycle: installation, upgrades, moves/adds/changes, and decommissioning of servers, storage, and network gear.
• Coordinate and perform hardware replacements including RMAs with local and international vendors.
• Conduct regular inspections and capacity checks (power, cooling, space, ports) and proactively flag risks.

Infrastructure Monitoring, Incident & Change Management

• Monitor infrastructure and environmental alerts, respond to incidents, and perform first-line troubleshooting.
• Work within established ITIL/ITSM processes for incident, request, and change management (ServiceNow and Jira).
• Participate in maintenance windows and on-call/extended-hours work as needed for a 24x7 environment.
• Maintain accurate records (rack elevations, patch maps, serials, locations) in CMDB/asset inventory (ServiceNow and Nlyte).

Network Operations Support (CCNA-Level)

• Support deployment and basic configuration of network devices (switches, routers, firewalls, load balancers) under direction of Network Engineering.
• Perform physical connectivity tasks: patching, validating links, assigning and validating VLANs, and basic Layer 2/3 troubleshooting.
• Assist with basic configuration changes (e.g., access ports, trunks, simple routing changes) following strict change control.

Tooling, Automation & Integration

• Use and help enhance DCIM, monitoring, logging, and ITSM ecosystem for visibility and control of the datacentre estate.
• Contribute to the development of light automation to reduce manual tasks (inventory updates, checks, reporting).
• Contribute to the integration of the datacentre-related dataset with central platforms (CMDB, monitoring, capacity tools) via APIs and CLI tools.
• Contribute to and improve runbooks, SOPs, and documentation to standardize and automate recurring activities.

Risk, Compliance & Best Practice

• Adhere to security, compliance, and governance in accordance with the regulatory requirements for structured cabling and infrastructure.
• Follow strict access control, audit, and change procedures in line with local building management and colocation facility requirements applicable to datacentre facilities.
• Ensure all activities are performed with safety, resilience, and high availability in mind to support Millennium operations.

Essential Qualifications & Experience

• 5+ years in a datacentre or large-scale infrastructure environment (financial services or other mission-critical environments a plus).
• Proven experience managing racks, cabling, hardware installation, and decommissioning in multi-cabinet environments.
• Experience supporting office technology rooms / comms rooms (IDF/MDF) in addition to core datacentres.
• Prior experience working within carrier-neutral datacentre environments is highly desirable.

Datacentre & Hardware Skills

• Strong hands-on skills in racking/stacking, structured cabling (copper and fibre), and patch management.
• Understanding of datacentre power and cooling (PDUs, UPS, dual feeds, capacity management, hot/cold aisle concepts).
• Experience with remote management technologies (IPMI, iDRAC, iLO, console servers, OOB management).

Networking Skills (CCNA-Level)

• Solid understanding of TCP/IP, VLANs, trunking, basic routing, subnetting, and access control concepts.
• Ability to perform basic configuration and CLI-based troubleshooting on enterprise switches and routers.
• CCNA certification (or equivalent knowledge/experience) strongly preferred.

Tooling, Automation & Integration

• Comfortable working with ITSM and CMDB tools (e.g., ServiceNow, Jira Service Management) for tickets and asset management.
• Basic scripting ability (Python, PowerShell, or Bash) for task automation and data manipulation.

Desired Skills & Attributes

• Experience with DCIM tools and visual rack/patch management (e.g., Nlyte, NetBox or similar).
• Strong documentation skills (rack diagrams, patching schematics, runbooks, standard operating procedures).
• High attention to detail, strong sense of ownership, and ability to work independently.
• Clear and concise communication skills; able to coordinate with local facility management, vendors, and global teams across time zones.
• Ability to liaise with local vendors, building management, and colocation facility staff.

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The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is £225,000-£325,000 GBP.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Annual compensation range for this role is €235,000-€295,000 EUR.

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different:

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Key responsibilities include:

• Designing and building automated manufacturing systems
• Working with product-specific design & manufacturing teams to scope the appropriate level of automation
• Owning the design and integration of automation cells including robot / cobot applications, conveyance, bespoke electromechanical systems, and automated inspection
• Generating 2D and 3D CAD files for automation lines and their systems / components
• Enforcing and contributing to Anduril’s internal processes & standards

Requirements include:

• Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or similar
• 6+ years of experience designing and commissioning automated production equipment
• Proficient CAD modeling in NX, Solidworks or AutoCAD
• Experience with at least one major conveyance system
• Proficient in robot / cobot selection and integration
• Experience integrating various control components

Preferred qualifications include:

• 9+ years of experience designing and commissioning automated production equipment
• Strong 3D CAD in NX
• Experience with multiple conveyance systems
• Experience with automated dispense systems
• Experience with control panel layout, electrical component selection, and cable routing
• Experience integrating with MES and QMS

Salary range: $126,000-$167,000 USD

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The ideal candidate will have hands-on experience administering Marketo, Salesforce, and LeanData, and deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.

Responsibilities:

• Own and evolve the GTM systems architecture, ensuring Salesforce, Marketo, LeanData, ZoomInfo, Qualified, Outreach, and Clay.io work together as a best-in-class, integrated ecosystem.
• Lead the design, governance, and optimization of data orchestration workflows using LeanData, including routing, prioritization, handoffs, and conversion logic across Marketing, SDR, and Sales teams.
• Design and execute a future-state operational roadmap focused on scaling B2B demand generation, ABM, and partner-led growth through automation, improved data flows, and AI-powered insights.
• Build automated lifecycle processes for lead scoring, enrichment, qualification, and cross-functional handoffs using LeanData, Zapier, Clay, Segment, and AI agents.
• Enhance sales productivity by implementing agentic workflows (e.g., automated follow-ups, enrichment workflows, SDR assistance tools) in Outreach and Salesforce.
• Manage data governance across Salesforce, Marketo, and Segment, ensuring reliable attribution, reporting, and pipeline visibility.
• Create AI-informed dashboards and reporting on pipeline performance, lead velocity, conversion, campaign effectiveness, and partner impact.
• Partner with RevOps, Sales Systems, and Engineering to operationalize cross-functional processes that reduce manual work and improve efficiency.
• Support partner/VAR motions through automated attribution, routing rules, partner engagement workflows, and integrated co-marketing processes.
• Continuously evaluate new tools, AI capabilities, and operational improvements that elevate our GTM infrastructure.

Requirements:

• 4+ years in Marketing Operations or Revenue Operations supporting B2B sales-led funnels.
• Hands-on experience administering Marketo, Salesforce, and LeanData.
• Deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.
• Proven ability to design automated workflows, operational processes, and scalable cross-system integrations.
• Experience using AI-driven tools or agentic workflows to automate SDR tasks, enrich lead data, or accelerate GTM execution.
• Strong analytical, system design, and documentation skills; able to translate business needs into scalable technical workflows.
• Experience collaborating with Sales, SDR, RevOps, and System/Engineering teams.

Bonus Points:

• Experience in FinTech or enterprise B2B SaaS environments.
• Familiarity with conversational marketing/ABM platforms like Qualified.
• Experience with tools like LeanData and Outreach in support of lead routing and SDR/BDR workflows.
• Experience with paid funnel operations is a plus (Google Ads, LinkedIn Ads, etc.).
• Understanding of partner/VAR operational workflows and partner attribution logic.
• Ability to design scalable integrations using tools like Segment, Zapier, or Workato-style platforms.

Compensation:

The expected salary range for this role is $134,696 - $168,370.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a member of the Traffic Management team, you will build and extend various traffic management and supporting systems. You will work closely with Network Engineering, Product Engineering, Network Strategy, and other teams to collaborate on ambitious initiatives to make the best use of Cloudflare’s global network.

Responsibilities

• Build and extend various traffic management and supporting systems
• Work closely with Network Engineering, Product Engineering, Network Strategy, and other teams
• Participate in all stages of the software development lifecycle
• Work with a wide range of technologies and programming languages
• Use AI-powered tools and systems as part of your daily workflow

Requirements

• Minimum of 6 years of engineering experience with networking and/or distributed systems
• Systems-level programming experience in Go, Python, Rust, C, or C++
• Strong knowledge of networking protocols in Layers 3 and 4 of the OSI Model
• Knowledge of HTTP, TLS, and CDN networks
• Experience in implementing secure and highly-available distributed systems
• Strong ability to debug issues in complex systems
• Strong collaboration and communication skills across teams and functions
• Experience participating in an on-call rotation
• Willingness to adopt and integrate AI tools and systems into your engineering workflow

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.

If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: London

About Solutions Engineering at Cloudflare

The Pre-Sales Solution Engineering organization owns the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solutions Engineering is made up of individuals from a wide range of backgrounds - from Financial Consulting to Product Management, Customer Support to Software Engineering, and we are serious about building a diverse, experienced and curious team.

The Partner Solutions Engineer is an experienced PreSales role within the Solutions Engineering team. Partner Solutions Engineers work closely with our partners to educate, empower, and ensure their success delivering Cloudflare security, reliability and performance solutions.

What you'll do as a Partner Solutions Engineer

Your role will be to build passionate champions within the technology ranks at your Partner accounts, aid your Partner organizations to drive sales for identified opportunities, and collaborate with your technical champions to build revenue pipeline. As the technical partner advocate within Cloudflare, you will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support.

You have strong experience in large Pre-Sales partner and account management as well as excellent verbal and written communications skills in English, suited for both technical and executive-level engagement. You are comfortable speaking about the Cloudflare vision and mission with all technical and non-technical audiences. Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms.

You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with partners and customers, and look forward to helping them realize the full promise of Cloudflare.

On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other. Specifically, we are looking for you to:

• Build and maintain long term technical relationships with our EMEA partners to increase Cloudflare’s reputation and authority within the partner solution portfolio through demonstrating value, enablement, and uncovering new areas of potential revenue

• Drive technical solution design conversations and guide partners in EMEA through use case qualification and collaborative technical wins through demonstrations and proofs-of-concepts

• Evangelize and represent Cloudflare through technical thought leadership and expertise

• Be the voice of the partner internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your partner and customer needs

Travel up to 40% throughout the quarter to support partner engagements, attend conferences and industry events, and to collaborate with your Cloudflare teammates

Examples of desirable skills, knowledge and experience:

• Fluency in English (verbal and written)

• Experience managing technical sales within large partners and accounts:

• Developing champion-style relationships

• Driving technical wins

• Assisting with technical validation

• Experience and expertise in one or more of the core industry components of Cloudflare solutions:

• SASE concepts and Zero Trust Networking architectures

• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management

• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP

• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP

• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Responsibilities:

• Work end to end on identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research
• Collaborate with the team to design and implement solutions to complex problems
• Develop and maintain large-scale distributed systems
• Implement and deploy machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

Requirements:

• Significant software engineering experience, particularly with distributed systems
• Results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Application Instructions:

If you're interested in this role, please submit your application through our website. We look forward to hearing from you!

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Responsibilities:

• Document and design fiber networks using IQGeo Network Manager and CAD, including route modeling, data import, and report generation.
• Conduct site surveys and produce detailed OSP (aerial/underground) and ISP (building entry/riser) connectivity designs in GIS and/or CAD.
• Survey, document, and install/run jumpers for new and existing fiber cross-connects; maintain accurate records in IQGeo and CAD.
• Perform basic fiber testing with VFL (fault location) and OPM (power/loss measurement); clean connectors and inspect end-faces. Apply basic OTDR skills and interpret fiber trace reports.
• Collaborate with teams to install and maintain OXC jumpers in a clean and orderly manner.
• Collaborate with teams on projects, permitting, and QA; ensure compliance with industry standards.
• Work with OSP and Construction teams to create, submit, and/or monitor permits.

Basic Qualifications:

• 5+ years of hands-on experience in fiber optic network design, surveying, testing, and OSP/ISP deployments (experience may substitute for formal education).
• Proficiency with IQGeo Network Manager and CAD or similar geospatial design tools.
• Experience with fiber testing equipment (VFL, OPM) and cross-connect/jumper installations.
• Valid driver’s license and physical capability for field work, including walking varied terrain, ladder use, and cable handling.
• Ability to travel ~50% (including overnights).

Preferred Skills and Experience:

• Relevant certifications such as CFOT or Fiber Optic Technician.
• Strong knowledge of fiber optic standards, connector cleaning/inspection, and jumper/cross-connect routing.
• Experience with NetBox (or similar DCIM/IPAM tools) is a plus.
• Experience collaborating on permitting processes and QA in telecom or data center environments.
• Excellent analytical, documentation, and problem-solving skills.
• Laser safety awareness and commitment to safe work practices.
• Ability to work effectively in a fast-paced, hands-on environment with strong attention to detail.

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Responsibilities: We are looking for a Network Engineer to join our team (5+yrs). Cloudflare is building one of the largest, most resilient networks that spans over 335 cities spread across all regions and we plan to continue our expansion at a rapid pace. You will have the opportunity to (literally) build a faster, safer Internet for our millions of users and the billions of web surfers that visit their sites each month. This position will be responsible for:

• Technical operation and engineering of the Cloudflare network, including the provisioning and management of the network hardware and software,
• Day to day network operations and monitoring, working closely with internal teams such as System Reliability Engineering, Infrastructure Engineering and Customer Support teams,
• Creating and maintaining documentation, SOP’s, knowledge base,
• Interacting with our network peers to assist with their inquiries, and subsequently provide meaningful data on performance degradation.

Requirements:

• Capable of learning new technologies / systems / features under guidance of mentors,
• Proficient in multiple network vendor operating systems , Associate level network certification(s) (JNCIA , CCNA , etc) or higher,
• Understanding of BGP, Knowledge of the OSI-model and experience isolating network, hardware and software issues,
• Experience writing scripts in Bash, Python, or other scripting language,
• Experience in working as part of a team in a customer-facing role,
• Ability to prioritise when faced with high pressure scenarios.

Bonus Points but not required:

• Understanding of anycast routing,
• Good working knowledge of Junos, IOS-XR,NX-OS, EOS and SONIC,
• Experience writing network configuration and design documentation,
• Experience solving problems through automation,
• Experience with optical transport technologies such as CWDM/DWDM,
• Linux system administration,
• Multilingual.

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Your key responsibilities will include investigating, planning, designing and developing harnesses to meet various technical requirements, researching and selecting appropriate connectors, back-shells, contacts, wire, shielding, and cable construction for the product to meet appropriate environmental requirements, developing and generating harness system block diagrams and wire diagrams to release for production, participating in design reviews and providing input to identify issues and drive design choices, preparing harness assembly instructions and test procedures, incorporating your knowledge of industry standards and best practices, and providing guidance to the electrical team in identifying electrical system requirements given input from internal and external stakeholders including engineering (mechanical, electrical, software), product management, quality and compliance.

You will work in a fast-paced environment supporting new developments, active deployments, and customer-operated hardware, and concurrently manage involvement in multiple projects at various stages.

To be successful in this role, you will need to have a Bachelor's Degree in Electrical Engineering, Mechanical Engineering, or equivalent, and 3+ years hands-on experience designing electrical harnessing for rugged commercial, industrial, aerospace, or military applications, experience working directly with harness manufacturers to deliver high-quality, high-reliability products, and ownership of end-to-end of the electrical wiring and interconnect system, including power distribution, grounding, shielding, and signal integrity.

You will also need to ensure the design meets system-level electrical requirements for voltage, current, bandwidth, redundancy, EMI/EMC, perform electrical trade studies for wire gauge, shielding, connector selection, and topology, analyze and mitigate electrical risks such as voltage drop, crosstalk, EMI susceptibility, and thermal effects, familiarity with common electrical bus interfaces (CAN, Ethernet, RS422, RS232, 1553), familiarity with existing applicable harness standards as well as MIL-STD requirements, ability to apply knowledge of SWaP for power, network, and communications systems and designs, experience reading wire block interconnect diagrams and wire diagrams, and exceptional organization and communication skills (both written and oral).

Preferred qualifications include building 3D routed harness data files applying NX Cabling and Siemens Capital Harness, experience with or proficiency in 3D CAD wire harness routing, such as (NX, Siemens Capital, CATIA, CREO), ability to read and generate formboard drawings in 2D CAD for production, EMI/EMC principles, and common electrical bus interfaces (CAN, Ethernet, RS-422, RS-232, MIL-STD-1553).

The salary range for this role is $98,000-$171,000 USD, and highly competitive equity grants are included in the majority of full-time offers.

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The ideal candidate will have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users. They will also have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration.

Responsibilities:

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models

• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms

• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions

• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity

• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads

• Optimise inference cost and performance across providers,designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region

• Contribute to inference features that must work consistently across all platforms

• Analyse observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

Requirements:

• Significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users

• Experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration

• Strong interest in inference

• Thrive in cross-functional collaboration with both internal teams and external partners

• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems

• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work

• Pick up slack, even when it goes outside your job description

Preferred skills:

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings

• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers

• Hands-on experience with capacity management, cost optimisation, or resource planning at scale across heterogeneous environments

• Strong familiarity with LLM inference optimisation, batching, caching, and serving strategies

• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators

• Background designing and building CI/CD systems that automate deployment and validation across cloud environments

• Solid understanding of multi-region deployments, geographic routing, and global traffic management

• Proficiency in Python or Rust

Salary Range: $300,000-$485,000 USD

Experience Level: Staff

Employment Type: Full-time

Workplace Type: Hybrid

Category: Engineering

Industry: Technology

Required Skills:

• High-performance, large-scale distributed systems

• Cloud computing (AWS, GCP, Azure)

• Kubernetes

• Infrastructure as Code

• Container orchestration

• Inference

• Cross-functional collaboration

• Autonomy and self-driven

• Platform-agnostic tooling

• Capacity management

• Cost optimisation

• Resource planning

• LLM inference optimisation

• Machine learning infrastructure

• CI/CD systems

• Multi-region deployments

• Geographic routing

• Global traffic management

• Python

• Rust

Preferred Skills:

• Direct experience working with CSP partner teams

• Building platform-agnostic tooling

• Hands-on experience with capacity management

• Strong familiarity with LLM inference optimisation

• Experience with Machine learning infrastructure

• Background designing and building CI/CD systems

• Solid understanding of multi-region deployments

• Proficiency in Python or Rust

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In your first year, you'll focus on building AI-enabled workflows, integrating and implementing new systems, and creating better visibility into legal operations through data, reporting, and automation. You'll also help bring AI-powered capabilities into legal processes, including contract review and decision support within tools such as Ironclad CLM and related platforms.

Responsibilities:

• Design and build automated workflows for legal tasks such as contract review, non-disclosure agreement routing, intellectual property enforcement, compliance monitoring, data retention, inventorying, and data subject request processing.

• Develop custom AI prompts, decision trees, and logic layers that support a wide array of AI use-cases within our connected tools.

• Partner with internal AI and machine learning teams to embed legal logic into broader company automation and tooling.

• Build self-service resources, including intake forms, playbooks, and decision trees, that reduce ad hoc legal requests and improve team efficiency.

• Own technical administration for parts of the legal technology stack, including contract lifecycle management, e-billing, compliance platforms, and workflow automation tools.

• Evaluate new legal technology solutions, from prototyping and vendor assessment through integration and user adoption.

• Collaborate with Sales, Finance, Security, Trust & Safety, and People teams to streamline legal dependencies and implement scalable system integrations with platforms such as Salesforce and Zuora.

• Create dashboards, reporting infrastructure, and data models that support legal analytics, leadership visibility, compliance automation, and customer-facing guidance on product-specific metrics.

Requirements:

• Experience building, configuring, or significantly customising legal technology systems beyond basic administration.

• Knowledge of in-house legal workflows, including contracts, compliance, intake, and matter management.

• Ability to work with technical tools such as contract lifecycle management platforms, workflow automation tools, SQL or database querying, application programming interface integrations, or scripting languages such as Python or JavaScript.

• Comfort translating between legal, technical, and business stakeholders to turn requirements into clear technical solutions.

• Experience supporting cross-functional work with teams such as Sales, Finance, Security, Trust & Safety, or People.

• Ability to build structured reporting or data solutions that support operational decisions, compliance processes, or legal analytics.

• Strong written and verbal English communication skills for success in a remote, largely asynchronous environment.

• Openness to transferable experience from legal operations, legal technology, technical program work, or other roles that combine systems thinking with legal process improvement.

About the team: The Legal & Corporate Affairs team supports GitLab by helping the business move efficiently while managing legal and compliance risk. Within that function, this role focuses on the systems, workflows, and data infrastructure that power legal operations, from contract lifecycle management and e-billing to compliance automation and reporting.

You'll work with a distributed group of legal and cross-functional partners across regions, using asynchronous collaboration to design solutions that scale across the company. The team is focused on reducing manual work, improving self-service, and building dependable integrations between legal systems and GitLab's broader business tools so legal support is easier to access and easier to measure.

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As a Staff Network Security Engineer, you will:

Unravel and tackle network security challenges at an exhilarating global scale. Collaborate with exceptional network architects and engineers building the backbone infrastructure for the AI revolution. Enjoy the freedom and support to experiment, innovate, and significantly shape our approach to securing the underlay and overlay of our cloud.

In this role, you will: Conducting architecture reviews, protocol analysis, and design assessments to proactively identify and fix vulnerabilities in our backbone and data center fabrics. Developing robust, repeatable frameworks for network security automation (CoPP, ACL generation, Route Filtering) that make it easy for teams to build securely from day one. Collaborating closely with Network Engineering teams to integrate security checks and validation seamlessly into their CI/CD and config-push pipelines. Crafting clear, practical security guidance and documentation that empowers engineers to deploy secure routing policies and topologies. Actively participating in architectural discussions regarding peering, transit, and traffic engineering, providing insightful security recommendations. Occasionally, 'drawing the owl' - figuring out innovative solutions for securing massive throughput environments while navigating ambiguous situations.

You will be working with a talented team of network engineers, security experts, and AI researchers to build and deploy a highly scalable and secure cloud infrastructure.

If you are passionate about network security, cloud computing, and AI, and enjoy working in a fast-paced, dynamic environment, we encourage you to apply for this exciting opportunity.

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Key responsibilities include:

• Developing and maintaining the network services infrastructure for our GPU cloud services
• Collaborating with cross-functional teams to ensure seamless integration of network datapath solutions
• Optimizing host network performance, latency, and throughput to meet the demanding requirements of GPU-based workloads
• Implementing and maintaining network security protocols and best practices to protect customer data and infrastructure
• Participating in an on-call rotation, troubleshooting and resolving network-related issues, and providing timely support to the operations team

To succeed in this role, you will need to have a strong background in network protocols, routing, and security, as well as proficiency in programming languages such as Golang, Python, or C++. Experience with software-defined networking (SDN) and network virtualization technologies is also highly desirable.

In addition to your technical skills, you will need to have excellent problem-solving skills and a proactive attitude towards troubleshooting and issue resolution. Strong communication skills and the ability to collaborate effectively with cross-functional teams are also essential.

As a member of our team, you will have the opportunity to work on cutting-edge projects and contribute to the development of our network services infrastructure. You will also have access to a comprehensive benefits package, including medical, dental, and vision insurance, as well as a competitive salary and discretionary bonus.

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Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.

About the role:

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match.

Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets.

New hires will be invited to attend onboarding at one of our hubs within their first month.

Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.

If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.

Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce's Export Administration Regulations (EAR) and the U.S. Department of State's International Traffic in Arms Regulations (ITAR).

By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.

If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.

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You will work on high-performance computing (HPC) systems that are part of our sequencing platform. The ideal candidate is a hands-on Linux expert who thrives on optimizing performance and building secure, scalable and reliable systems in a fast-paced environment.

Responsibilities:

• Design, build, and maintain high-performance Linux systems supporting compute and data-intensive workloads
• Optimise system performance through kernel and filesystem tuning; identify and eliminate I/O, memory, or network bottlenecks
• Automate provisioning and configuration management using orchestration tools such as Ansible and Salt
• Monitor and troubleshoot kernel, driver, and hardware issues; perform root cause analysis in partnership with data and engineering teams and propose long-term solutions
• Ensure system reliability through regular patching, monitoring, and performance tuning
• Maintain accurate system documentation, runbooks, and configuration baselines
• Collaborate with software, hardware, and scientific teams to ensure platform reliability and scalability

Qualifications, Skills, Knowledge & Abilities:

• BS in Computer Science, Engineering, or related field
• 5+ years of experience designing and building high-performance physical Linux systems in high-throughput or mission-critical environments
• Deep knowledge of Linux kernel, NFS and Linux file system performance tuning
• Solid background in TCP/IP networking, routing, VLANs, and firewall rules
• Experience with the latest CPU and GPU technologies
• Proficiency in shell scripting (bash), working knowledge of Python, and familiarity with Ansible or similar configuration management tools
• Proven hands-on experience building servers from components, diagnosing hardware failures, and working with vendors
• Excellent documentation and communication skills
• May occasionally be exposed to activity that requires pulling/lifting/moving/carrying up to 50 lbs
• Experience with cloud computing infrastructure (e.g. AWS) and Docker desirable
• Familiarity with security frameworks and compliance standards (e.g. ISO 27001) a plus

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $125,000 and $150,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.

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Key responsibilities include:

• Driving high-impact scientific work across GenAI-powered labeling and evaluation systems
• Identifying opportunities where LLMs and related methods can improve quality, speed, coverage, and cost efficiency
• Developing prototypes that demonstrate value in areas such as prompt optimization, task decomposition, quality estimation, routing, and human-in-the-loop workflows
• Designing rigorous measurement frameworks to evaluate model performance, workflow outcomes, and operational tradeoffs
• Partnering with engineering, product, and data science teams to shape roadmaps and productionize successful approaches
• Establishing strong standards for trustworthiness, including bias measurement, calibration, quality control, and responsible oversight
• Creating reusable methods and frameworks that can scale across teams and use cases

Requirements include:

• 10+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
• Deep hands-on experience as an individual contributor solving technically complex, high-impact data science or ML problems
• Strong experience applying LLMs or other generative AI techniques to practical workflows, systems, or products
• Demonstrated ability to turn ambiguous problems into rigorous analyses, experiments, prototypes, and scalable solutions
• Proven track record of writing high-quality code and using technical work to influence product or platform direction
• Strong cross-functional collaboration skills and a track record of influencing leaders and peers through data and technical judgment
• Strong business and product sense with the ability to define meaningful success metrics and prioritize high-value opportunities
• Self-directed learning mindset and comfort working in a rapidly evolving technical landscape
• Experience with labeling systems, evaluation frameworks, human judgment workflows, or internal AI tooling is strongly preferred

In-office requirement statement: This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation statement: This position is not eligible for relocation assistance.

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Your primary responsibilities will include designing, developing, and managing controls systems for manufacturing, architecting and writing PLC code, generating and enforcing internal standards for control systems architectures, and integrating internal and external FactoryOS software into automation equipment and production lines.

You will also lead root cause analysis and corrective actions for automation failures, install, configure, and tune servo drives/VFDs, and partner with cross-functional teams to troubleshoot equipment issues, reduce downtime, and drive continuous improvement initiatives.

To be successful in this role, you will need a bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a similar field, and 8+ years of experience in controls and automation in a production environment. You should be proficient in PLC programming on both Rockwell and Siemens platforms, Ignition SCADA development, and servo drive and VFD configuration, PID tuning, STO/SS, etc.

Preferred qualifications include 10+ years of experience in controls and automation in a production environment, experience with control panel layout, electrical component selection, and cable routing, and familiarity with CAD packages including Solidworks, NX, CATIA, and AutoCAD.

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As a Senior Marketing Operations Manager, you will define and maintain the systems, processes, and operational rigor that align Marketing, SDR, Sales, and Partner teams. You will champion operational excellence by improving lead management, automating revenue processes, increasing funnel velocity, and enabling more efficient cross-functional alignment.

Responsibilities:

• Own and evolve the GTM systems architecture, ensuring Salesforce, Marketo, LeanData, ZoomInfo, Qualified, Outreach, and Clay.io work together as a best-in-class, integrated ecosystem.
• Lead the design, governance, and optimization of data orchestration workflows using LeanData, including routing, prioritization, handoffs, and conversion logic across Marketing, SDR, and Sales teams.
• Design and execute a future-state operational roadmap focused on scaling B2B demand generation, ABM, and partner-led growth through automation, improved data flows, and AI-powered insights.
• Build automated lifecycle processes for lead scoring, enrichment, qualification, and cross-functional handoffs using LeanData, Zapier, Clay, Segment, and AI agents.
• Enhance sales productivity by implementing agentic workflows (e.g., automated follow-ups, enrichment workflows, SDR assistance tools) in Outreach and Salesforce.
• Manage data governance across Salesforce, Marketo, and Segment, ensuring reliable attribution, reporting, and pipeline visibility.
• Create AI-informed dashboards and reporting on pipeline performance, lead velocity, conversion, campaign effectiveness, and partner impact.
• Partner with RevOps, Sales Systems, and Engineering to operationalize cross-functional processes that reduce manual work and improve efficiency.
• Support partner/VAR motions through automated attribution, routing rules, partner engagement workflows, and integrated co-marketing processes.

Requirements:

• 4+ years in Marketing Operations or Revenue Operations supporting B2B sales-led funnels.
• Hands-on experience administering Marketo, Salesforce, and LeanData.
• Deep expertise with lead routing, lead-to-account matching, and data orchestration workflows using LeanData or similar workflow automation tools.
• Proven ability to design automated workflows, operational processes, and scalable cross-system integrations.
• Experience using AI-driven tools or agentic workflows to automate SDR tasks, enrich lead data, or accelerate GTM execution.
• Strong analytical, system design, and documentation skills; able to translate business needs into scalable technical workflows.
• Experience collaborating with Sales, SDR, RevOps, and System/Engineering teams.

Bonus Points:

• Experience in FinTech or enterprise B2B SaaS environments.
• Familiarity with conversational marketing/ABM platforms like Qualified.
• Experience with tools like LeanData and Outreach in support of lead routing and SDR/BDR workflows.
• Experience with paid funnel operations is a plus (Google Ads, LinkedIn Ads, etc.).
• Understanding of partner/VAR operational workflows and partner attribution logic.
• Ability to design scalable integrations using tools like Segment, Zapier, or Workato-style platforms.

Compensation: The expected salary range for this role is $134,696 - $168,370. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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We are looking for a skilled Senior Site Reliability Engineer to join our Tenant Services, Geo team. As a Senior Site Reliability Engineer, you will be responsible for ensuring the smooth operation of our user-facing services and production systems.

About Us

GitLab is the intelligent orchestration platform for DevSecOps. It enables organisations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation.

Responsibilities

• Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.
• Join the team's shift and weekend coverage rotation for Dedicated cutovers across EMEA and US hours, and participate in the SaaS Site Reliability Engineering (SRE) on-call rotation to respond to incidents that impact GitLab.com availability.
• Operate and improve the Geo operational surface for Dedicated, including:
• Environment preparation and data hygiene checks prior to migrations.
• Execution of replication, validation, and cutover procedures.
• Handling Geo-related escalations from Support and internal partners.
• Design, build, and maintain automation, tooling, and runbooks that make migrations, cutovers, and Geo escalations as 'boring' and repeatable as possible.
• Run our infrastructure with tools such as Ansible, Chef, Terraform, GitLab CI/CD, and Kubernetes; contribute improvements back to GitLab's product and infrastructure where appropriate.
• Build and maintain monitoring, alerting, and dashboards that:
• Detect symptoms early, not just outages.
• Track migration and cutover success rates, duration, rollback frequency, and related SLOs.
• Collaborate closely with:
• The core Geo team on improving Geo features and operability.
• Dedicated migrations and Support on migration planning, customer communications, and escalation handling.
• Other Infrastructure teams on capacity planning, disaster recovery, and reliability improvements.
• Contribute to readiness reviews, incident reviews, and root cause analyses, turning learnings into changes in automation, process, or product.
• Document every action, including runbooks, architecture decisions, and post-incident reviews, so your findings turn into repeatable practices and automation.
• Proactively identify and reduce toil by automating repetitive operational work and simplifying migration workflows.

Requirements

• Experience operating highly-available distributed systems at scale, ideally in a SaaS environment with customer-facing SLAs.
• Hands-on experience with at least one major cloud provider (e.g., Google Cloud Platform or Amazon Web Services), including networking, storage, and managed services.
• Experience with Kubernetes and its ecosystem (e.g., Helm), including deploying and troubleshooting workloads.
• Experience with infrastructure as code and configuration management tools such as Terraform, Ansible, or Chef.
• Strong programming skills in at least one general-purpose language (preferably Go or Ruby) and proficiency with scripting (e.g., Shell, Python).
• Experience with observability systems (e.g., Prometheus, Grafana, logging stacks) and using metrics and logs to troubleshoot performance and reliability issues.
• Practical exposure to data replication, backup/restore, or migration scenarios (e.g., database replication, storage replication, or Geo-like technologies) where data integrity and downtime risk must be carefully managed.
• Comfort participating in an on-call rotation, investigating incidents across the stack, and driving follow-through on corrective actions.
• Ability to engage directly with enterprise customers during migrations and incidents, including on live calls and through clear written updates.
• Ability to clearly define problems, propose options, and think beyond immediate fixes to improve systems and processes over time.
• Ability to be a 'manager of one': self-directed, organized, and able to drive work to completion in a remote, asynchronous environment.
• Strong written and verbal communication skills, with a bias toward clear, asynchronous documentation and collaboration.
• Alignment with our company values and a commitment to working in accordance with those values.

Nice to Have

• Experience working with disaster recovery technologies.
• Experience with managed/hosted environments similar to GitLab Dedicated, including regulated or compliance-sensitive customers (e.g., SOC2, ISO).
• Prior work on large-scale data migrations or cutovers where customer data integrity, performance, and downtime risk had to be carefully balanced.
• Hands-on experience designing and operating database replication, backup/restore, and cutover workflows (for example, PostgreSQL or cloud-managed equivalents such as AWS RDS), including planning and executing low-risk migrations for large datasets.
• Experience with multi-tenant architectures, sharding, or routing strategies in high-traffic SaaS platforms.
• Familiarity with GitLab (self-managed or SaaS), and/or contributions to open source projects.

Benefits

• Benefits to support your health, finances, and well-being
• Flexible Paid Time Off
• Team Member Resource Groups
• Equity Compensation & Employee Stock Purchase Plan
• Growth and Development Fund
• Parental leave
• Home office support

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Strong candidates may also have experience with

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply

None. Applications will be reviewed on a rolling basis.

Annual compensation range

The annual compensation range for this role is £325,000-£390,000 GBP.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Why work with us?

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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About the Role:

Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Responsibilities:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Requirements:

• Significant software engineering experience, particularly with distributed systems
• Results-oriented, with a bias towards flexibility and impact
• Ability to pick up slack, even if it goes outside your job description
• Willingness to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Note: The salary range for this role is €235,000-€295,000 EUR per year.

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The company's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control centre.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion and networking technology to the military in months, not years.

We are seeking a mission-driven Cloud Infrastructure Engineer to take a leading role in designing and implementing world-class defensive controls. This is a high-impact role with the autonomy to shape security architecture and protect the technology that is changing the future of defence.

Key Responsibilities:

• Design and Own Security Architecture: Architect, build and deploy robust, scalable security controls for our corporate, development and production cloud environments (AWS, Azure, GCP).

• Automate Everything: Develop and automate infrastructure-as-code (IaC) to manage and scale our cloud deployments securely and efficiently.

• Proactively Defend: Continuously monitor, identify and remediate security weaknesses and configuration drift across our entire cloud footprint.

• Be a Force Multiplier: Partner with infrastructure, application and product teams to embed security best practices into their workflows and secure environments holding mission-critical data.

• Enable Scale and Reliability: Engineer systems and processes that ensure our platforms are highly available, resilient and prepared for rapid growth.

• Serve as a Cloud Security Expert: Act as the go-to subject matter expert for teams across Anduril, providing guidance, mentorship and paved-road solutions for building securely in the cloud.

Requirements:

• Proven experience building and securing complex cloud environments, typically gained through 3+ years in a Cloud Security, DevOps or SRE role.

• Deep proficiency in at least one major cloud provider (AWS, Azure or GCP).

• Strong hands-on experience with Infrastructure as Code (e.g., Terraform, CloudFormation, Bicep).

• Solid programming/scripting ability in one or more languages (e.g., Python, Go, Rust).

• Firm understanding of public cloud networking principles (e.g., VPCs, subnets, routing, security groups).

• Must be a U.S. Person and eligible to obtain and maintain a U.S. Top Secret security clearance.

Preferred Qualifications:

• Experience hardening and monitoring Kubernetes clusters (EKS, GKE, AKS).

• Experience with cloud security posture management (CSPM) or threat detection tooling.

• Familiarity with CI/CD pipelines and securing the software supply chain.

• Knowledge of compliance frameworks such as FedRAMP, MRL, SOC 2 or CMMC.

• On-premises network engineering experience.

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We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

What You’ll Do The Argo team was formed to own a very important aspect of Cloudflare's systems: enable more reliable network connectivity for Cloudflare’s products than the Internet itself provides. Almost all products in Cloudflare’s portfolio are or will be powered by Argo technology, including CDN, Spectrum, Magic Transit, Stream, Workers, Workers AI, R2, WARP, and more.

As a member of the Argo team, you’ll be a key technical contributor to the cutting edge network software infrastructure used by those products. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform. Likewise you will partner with Network Engineering and SRE to ensure that the technology makes the best use of Cloudflare's world-class edge network.

You will participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments. You will work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.

Must-Have Skills

• Systems-level programming experience in Go, Rust, C, or C++
• A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model
• Knowledge of HTTP, TLS, and CDN networks
• Experience in implementing secure and highly-available distributed systems
• Experience with monitoring, alerting, and debugging large-scale distributed systems
• Experience participating in an on-call rotation
• Strong collaboration and communication skills
• Experience/interest in network performance monitoring and tuning
• Willingness to adopt and integrate AI tools and systems into your engineering workflow

Bonus Points

• Knowledge of TCP/IP and Internet routing
• Professional systems-level programming experience in Rust
• Working knowledge of statistical-analysis techniques and control theory
• Experience building tools and APIs
• Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting

Equity This role is eligible to participate in Cloudflare’s equity plan.

Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave

More information on the team: https://blog.cloudflare.com/orpheus-saves-internet-requests-while-maintaining-speed/ https://blog.cloudflare.com/orpheus/

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As a member of our team, you will participate in the constant cycle of knowledge sharing and mentoring, participate in the global on-call rotation for the services your team owns, research and introduce cutting-edge technologies, and contribute to open-source.

We are a small team, well-funded, growing and focused on building an extraordinary company. This is a software engineering/systems engineering role and is a superb opportunity to be part of a high performing team to help to support Cloudflare’s mission and help build a better internet.

You may be a good fit for our team if you have a Software Engineering background and proficiency in high-level programming languages (e.g., Go), proficiency in Data structures and databases like TSDBs, Columnar stores or related, proficiency in distributed Linux environments, proficiency in designing high-scale distributed systems, proficiency in Prometheus, Alertmanager, Thanos, experience working in a fast, high-growth environment, experience working in a 24/7/365 service environment, exquisite written and verbal communication skills, familiarity with Internetworking, networking protocols Layer 2-7 of the OSI model and BGP, strong bias for action.

Bonus points if you have experience with high-bandwidth transit Internetworking and routing, passion for code simplicity and performance.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Available Location:

Austin

About the Department

Cloudflare’s engineering teams build and maintain the systems and products that power our global platform. A global platform which is within approximately 50 milliseconds of about 95% of the Internet connected population, serving on average, over 46 million HTTP requests per second.

About the Team

Cloudflare engineering delivers multiple products and features to production at a tremendous pace, and depends on real time load balancing and long term capacity planning to do so with high performance and efficiency. The MAPS team is responsible for highly granular and large-scale resource usage instrumentation and measurement of Cloudflare's edge platform. The team builds and runs data pipelines, as well as systems and libraries for measuring and collecting the data, and collaborates closely across the range of teams that build and run services on Cloudflare's global edge network to ensure consistent, complete, and correct attribution of all resource usage.

What are we looking for?

We are looking for highly motivated software engineers to join our MAPS team. You’ll have a strong programming background with a deep understanding and experience developing and maintaining distributed systems. You’ll need to be able to communicate effectively with engineers across the company to understand the behaviours of our systems and products in order to deliver tooling to meet their testing needs. You will also work closely with product managers to support our public facing synthetic testing and load testing products for enterprise customers.

Requirements

• Experience as a software engineer or similar role working on latency and efficiency sensitive server infrastructure.
• Experience working with large-scale data pipelines and processing, including use of distributed column-oriented data storage and processing such as ClickHouse, BigQuery/Dremel, etc.
• Strong knowledge of TCP/IP networking fundamentals and routing basics
• Successful track record of collaborating with many teams concurrently to achieve goals that require alignment across a range of teams and orgs.
• Track record of owning problems, goals, and outcomes - not (just) specific pieces of software.
• Track record of building long-term sustainable, maintainable systems.
• Ability to dive deep into technical specifics of systems and codebases, while always keeping the big picture in mind.
• Experience with one or more of the following programming languages: Go, Rust, C

Bonuses

• Strong understanding of Linux kernel internals, especially any of: networking, scheduling, resource isolation, virtualization
• Experience troubleshooting and resolving performance issues in large-scale distributed systems.
• Experience with large scale configuration/deployment management.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.

About the Role

Grok and X are powered largely from our own on-premise infrastructure which enables us to move at speed and efficiency when deploying vast amounts of capacity. People wouldn't be able to enjoy participating in the townhall on X or use Grok to understand the universe if it weren't for our Edge networking infrastructure.

We are seeking two senior engineers that help architect, develop, and build our peering and transit infrastructure with associated routing policies, eDNS, cloud connectivity, CGNAT, and load balancer fleets. The two successful candidates will have great Python skills to remove repetitive engineering cycles and auto-mitigate customer impacts.

Responsibilities

• Architect, develop, and maintain peering and transit infrastructure, including routing policies, eDNS, cloud connectivity, CGNAT, and load balancer fleets.

• Leverage Python scripting to automate repetitive engineering tasks and proactively mitigate customer impacts.

• Manage and troubleshoot DNS infrastructure to ensure reliable performance.

• Oversee and resolve issues related to cloud VPCs and connected network hardware.

• Diagnose and resolve complex TCP/IP issues to maintain seamless network operations.

• Collaborate with cross-functional teams to enhance infrastructure efficiency and support xAI's AI platforms.

Required Qualifications

• 7+ years of experience with edge network hardware, including load balancers, CGNAT, routers, and switches.

• 7+ years of routing experience in backbones, peering, and transit areas with expertise in traffic engineering.

• 5+ years of experience using Python scripting to automate deployments and break/fix tasks.

• 3+ years of experience managing DNS infrastructure.

• 3+ years of experience managing and troubleshooting cloud VPCs and connected network hardware.

• Proven ability to troubleshoot complex TCP/IP issues.

Preferred Qualifications

• Experience with A10 Networks, NGINX, or open-source load balancer/CGNAT software.

• Familiarity with Route53 and UltraDNS.

• Expertise in GCP, AWS, and OCI VPC architecture and troubleshooting.

• Knowledge of Kubernetes Ingress.

• Experience with CDN, Fastly, and Cloudfront.

• Demonstrated success in on-call rotations and incident response in high-stakes environments.

• Strong problem-solving skills and adaptability in a fast-paced, ambiguous setting.

Annual Base Salary

$180,000 - $440,000 USD

Benefits

Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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Grok and X are powered largely from our own on-premise infrastructure which enables us to move at speed and efficiency when deploying vast amounts of capacity. People wouldn’t be able to enjoy participating in the townhall on X or use Grok to understand the universe if it weren’t for our Edge networking infrastructure.

Responsibilities

• Architect, develop, and maintain peering and transit infrastructure, including routing policies, eDNS, cloud connectivity, CGNAT, and load balancer fleets.

• Leverage Python scripting to automate repetitive engineering tasks and proactively mitigate customer impacts.

• Manage and troubleshoot DNS infrastructure to ensure reliable performance.

• Oversee and resolve issues related to cloud VPCs and connected network hardware.

• Diagnose and resolve complex TCP/IP issues to maintain seamless network operations.

• Collaborate with cross-functional teams to enhance infrastructure efficiency and support xAI’s AI platforms.

Required Qualifications

• 7+ years of experience with edge network hardware, including load balancers, CGNAT, routers, and switches.

• 7+ years of routing experience in backbones, peering, and transit areas with expertise in traffic engineering.

• 5+ years of experience using Python scripting to automate deployments and break/fix tasks.

• 3+ years of experience managing DNS infrastructure.

• 3+ years of experience managing and troubleshooting cloud VPCs and connected network hardware.

• Proven ability to troubleshoot complex TCP/IP issues.

Preferred Qualifications

• Experience with A10 Networks, NGINX, or open-source load balancer/CGNAT software.

• Familiarity with Route53 and UltraDNS.

• Expertise in GCP, AWS, and OCI VPC architecture and troubleshooting.

• Knowledge of Kubernetes Ingress.

• Experience with CDN, Fastly, and Cloudfront.

• Demonstrated success in on-call rotations and incident response in high-stakes environments.

• Strong problem-solving skills and adaptability in a fast-paced, ambiguous setting.

Annual Base Salary

$180,000 - $440,000 USD

Benefits

Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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The Network Services team builds and operates the foundational networking that powers CoreWeave's Kubernetes platforms at cloud scale. The team is responsible for container networking, connectivity, and network services that support large-scale, GPU-driven workloads across regions and environments. They focus on scalability, reliability, security, and performance while delivering intuitive platforms for internal teams and customers.

About the Role

As a Senior Engineer focused on our Cilium-based CNI, you will design, build, and operate the container networking layer that underpins CoreWeave's Kubernetes platforms. Day to day, you will work on evolving our CNI stack to support large, high-density GPU clusters with demanding throughput and latency requirements. You will partner closely with Kubernetes, Infrastructure, and Network Services engineers to ensure the platform is highly available, observable, and secure. This role spans architecture, implementation, and operations, with ownership from prototype through production. You will also help shape how our networking platform scales for future growth.

Who You Are

• 5+ years of experience as a Software Engineer or Systems Engineer working on cloud infrastructure or large-scale distributed systems.
• Hands-on production experience with Cilium CNI (or equivalent advanced CNIs), including cluster configuration and lifecycle management.
• Strong understanding of Cilium's eBPF datapath, policy model, and load-balancing mechanisms.
• Deep knowledge of cloud networking concepts, including VPCs, subnets, routing, security groups/ACLs, NAT, and ingress/egress architectures.
• Experience designing multi-tenant network architectures with strong isolation and security.
• Solid grounding in TCP/IP, dynamic routing (e.g., BGP), ECMP, MTU/fragmentation, and overlay/underlay networking (VXLAN, Geneve, encapsulation).
• Experience with network observability and troubleshooting across L3–L7.
• Proficiency in at least one systems language such as Golang or C/C++.
• Experience working in modern CI/CD environments.
• Experience operating Kubernetes at scale, including cluster lifecycle management and debugging networking issues across pods, nodes, and external services.
• Demonstrated ownership of complex systems end-to-end.

Preferred

• Experience operating cloud-scale network services across tens of thousands of nodes and multiple regions.
• Contributions to Cilium, Kubernetes, or related open-source networking projects.
• Experience with eBPF development and performance tuning.
• Experience building Kubernetes operators or controllers.
• Familiarity with service meshes, multi-cluster networking, or cluster mesh solutions.
• Experience in GPU-heavy, HPC, or other performance-sensitive environments.

Wondering if you’re a good fit?

We believe in investing in our people and value candidates who bring diverse experiences , even if you’re not a 100% match on paper. If some of this sounds like you, we’d love to talk.

• You love solving complex distributed systems and networking challenges at scale.
• You’re curious about cloud-native networking, eBPF, and Kubernetes internals.
• You’re an expert in building reliable, scalable infrastructure that runs in production.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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In this role, you will work closely with an interdisciplinary technical team to route high-speed mixed-signal designs, interact with fabricators and assemblers, and manage signal integrity in complex PCBs.

Key responsibilities include:

• Working directly with engineers to produce printed circuit board designs supporting Anduril's products.
• Applying modern design standards and guidelines to create high-reliability, highly manufacturable assemblies.
• Implementing combinations of high-speed digital, precision analog, RF, and high-power designs.
• Leading the team in establishing internal guidelines for design for manufacturing (DFM), design for assembly (DFA), and overall quality fabrication and assembly outputs.
• Developing and refining team processes for PCB design, part creation, and library/database standards.
• Coordinating external PCB design resources during design surges.

Required qualifications include:

• A bachelor's degree in electrical engineering or similar and 5+ years of professional experience in PCB design OR 10+ years of professional experience in PCB design.
• Ability to read and interpret schematics and apply best practices appropriate for each design.
• Expertise in applying relevant IPC standards, CID, CID+ certification.
• Expertise in PCB fabrication processes, limitations, design rules, and best practice.
• Experience using Altium Designer CAD tools (Allegro is a plus).
• Experience with developing component libraries and library management.
• Excellent communication skills with multiple fab houses (ensuring boards are built to print).
• Excellent communication skills with multiple assembly houses (ensuring boards are built to BOM).
• Experience with a variety of board types, including high density and high layer count (greater than 16) digital designs, power electronics, flex circuits, and RF circuits.
• Experience with HDI (high density interconnect) and thicker boards (greater than 1.6mm).
• Experience with high speed digital interfaces and controlled impedance routing requirements like USB, PCIe, Ethernet, SERDES, and DDR memory.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred qualifications include:

• Familiarity with RF board design.
• Experience with high-pin count packages (FPGA fanout).
• Familiarity with basic signal and power integrity rules (how they affect layout).

US Salary Range $111,000-$147,000 USD

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Key responsibilities include:

• Designing, commissioning, and upgrading control systems for Solid Rocket Motor production equipment
• Architecting, writing, and debugging Siemens PLC code
• Integrating internal and external FactoryOS software into automation equipment and production lines
• Leading root cause analysis and corrective actions for automation failures
• Installing, configuring, and tuning servo drives/VFDs

Required qualifications include:

• Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, or Electrical Engineering
• 8+ years of experience in controls and automation in a production environment
• Strong skills in Siemens PLC programming (Ladder and Structured Text)
• Proficiency in servo drive and VFD configuration, PID tuning, STO/SS, etc.
• Strong knowledge of ethernet-based communication protocols (ProfiNET, ProfiSAFE, Ethernet IP.)
• Proficiency with electrical component selection and a solid foundation of wire sizing, circuit protection, and heat management in control cabinets
• Experience integrating with SCADA and OT Networking

Preferred qualifications include:

• 10+ years of experience in controls and automation in a production environment
• Experience working in an energetics facility
• Experience with control panel layout, electrical component selection, and cable routing
• Electrical troubleshooting up to 600VAC
• TUV FS Engineer certification (Functional Safety of Machinery)

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We are seeking a seasoned Senior Network Security Engineer to join our dynamic security team. The ideal candidate will possess deep expertise in network security technologies, focusing on switching and routing systems within cloud-native and AI-focused infrastructure.

Responsibilities

• Serve as a subject matter expert in network security, particularly firewalls, VPNs, IDS/IPS, routing protocols (e.g., BGP, OSPF), and switching technologies.
• Manage and update firewall configurations across our enterprise network to align with operational and security needs.
• Deploy new firewalls, switches, routers, and network security devices in response to evolving threats and demands.
• Develop and propose innovative network security solutions to address operational challenges in routing and switching environments.
• Enhance security processes through thorough documentation and change management.
• Act as the primary resolver for complex network security issues, including escalation support.
• Ensure network security systems, switches, and routers are up-to-date with patches, firmware, and maintenance.
• Monitor and respond to security events in cloud environments (e.g., AWS, GCP, Azure, Datacenter), with emphasis on network traffic analysis.

Basic Qualifications

• Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or a related field.
• 4+ years of experience in network security engineering, with hands-on focus on switching and routing.
• Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred.
• Strong understanding of network security principles, protocols (e.g., TCP/IP, VLANs, ACLs), and best practices for secure routing and switching.
• Proficiency in at least one major cloud platform (AWS, GCP, or Azure) and its network security services (e.g., VPCs, Security Groups).
• Experience with network analysis tools such as Wireshark, tcpdump; and vendors including Cisco, Juniper, Palo Alto Networks.
• Familiarity with scripting languages (e.g., Python, Bash) for automation of network security tasks.

Preferred Skills and Experience

• Relevant network-specific certifications (e.g., CCNP Security, CCIE Security, JNCIP-SEC, PCNSE).
• Experience in multi-cloud environments and Infrastructure as Code tools like Terraform for network provisioning.
• Knowledge of DevSecOps practices tailored to network security integration.
• Experience building custom tools or integrations for enhancing network security operations.
• Interest in leveraging AI for network threat detection and automation.
• Contributions to open-source projects in network security or related tools.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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We are seeking a highly experienced engineer to design, develop, deploy and operate our global backbone infrastructure. This role requires expertise in backbone network hardware and protocols, routing experience, and proficiency in Python scripting.

Responsibilities

• Design, develop, deploy and operate our global backbone infrastructure
• Partner with internal teams on requirements and leverage our own systems for insights
• Automate customer impact mitigations and remove repetitive engineering cycles using Python and Ansible

Requirements

• 10+ years working on backbone network hardware and protocols (MPLS RSVP TE++) in a large/hyper scale environment
• 10+ years of routing experience (BGP, IS-IS) within backbones, peering and transit areas with deep skills in traffic engineering
• 5+ years experience with Python scripting and the ability to automate repetitive tasks for deployments and break/fix
• 5+ years experience managing and troubleshooting cloud VPCs and connected network hardware
• Experience with Juniper, Cisco and Arista hardware
• Experience with AWS, GCP and OCI clouds
• Experience capacity planning on large networks with minimal customer input
• Proven track record in on-call rotations and incident response in high-stakes environments

Benefits

Base salary is just one part of our total rewards package at X, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

Annual Base Salary

$180,000 - $440,000 USD

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Your role will be to build champions and enable technical teams alongside our Benelux sales organisation to drive pipeline and close deals. As the technical advocate inside Cloudflare, you will work closely with teams across Sales, Product, Engineering, Customer Support and our channel partners to ensure our customers succeed with Cloudflare security, reliability, and performance solutions.

We are looking for someone with strong experience in pre-sales, partner and account management, and excellent verbal and written communication skills in Dutch and English, suited for both technical and executive-level engagement. You should be comfortable speaking about the Cloudflare vision with all audiences.

Specifically, we are looking for you to:

• Build and maintain long-term technical relationships with prospects, customers and ecosystem organisations across Benelux through demonstrating value, enablement, and uncovering new areas of potential revenue
• Drive technical solution design conversations through use case qualification and collaborative technical wins through demonstrations and proofs-of-concept
• Develop passionate technical champions within the technology ranks of your accounts, helping them drive sales for identified opportunities and build revenue pipeline
• Evangelize and represent Cloudflare through technical thought leadership and expertise
• Be the voice of the market internally at Cloudflare, engaging with and influencing Product and Engineering teams to meet the needs of your accounts and their customers

You will travel requirement in the Benelux to support engagements, attend conferences and industry events, and collaborate with Cloudflare teammates.

Examples of desirable skills, knowledge and experience include:

• Fluency in Dutch and English (verbal and written)
• Ability to communicate complex technical concepts to both technical and non-technical audiences, including C-level stakeholders
• Strong presentation and storytelling skills (whiteboarding, demos, executive briefings)
• Experience managing technical sales cycles end-to-end
• Ability to articulate business value and ROI of technical solutions, not just features
• Experience working within an integrated account team (alongside Account Executives, Customer Success, BDRs, and channel partners)
• Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting
• Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN
• Cloud networking concepts: VPCs, peering, interconnect
• DDoS attack types (L3/L4/L7) and mitigation strategies
• Web Application Firewall (WAF) rule configuration and tuning
• VPN concepts and their limitations relative to Zero Trust approaches
• API security: API Gateway, rate limiting, schema validation, abuse prevention
• Bot management concepts and detection techniques
• SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)
• Zero Trust Network Access (ZTNA) vs. traditional VPN architecture
• HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics
• Detailed understanding of the flow from user to application, including hybrid cloud architectures
• Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)
• Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)
• Cloudflare Workers and the edge compute model (JavaScript/TypeScript)
• Familiarity with related primitives: KV, Object storage, serverless compute
• Familiarity with the competitive landscape across Cloudflare's product areas
• Understanding of why customers move from on-premises appliances to cloud-delivered security
• Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare

We value intellectual curiosity, adaptability, and a collaborative spirit. On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we'd love to hear from you.

What makes Cloudflare special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend

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As a member of the Argo team, you'll be a key technical contributor to the cutting-edge network software infrastructure used by Cloudflare's products. You will work closely with various Engineering teams to translate their requirements into new capabilities on the platform.

Responsibilities

• Participate in all stages of the software development lifecycle, from designing and documenting systems, to writing code and automated tests, to planning, managing, and monitoring production software deployments.
• Work with a wide range of technologies and programming languages, including Rust, Go, Linux networking, ClickHouse, PostgreSQL, Grafana, Kubernetes, and more.
• Use AI-powered tools and systems as part of your daily workflow to analyze and extend codebases, introspect production systems and datasets, and accelerate problem-solving.

Must-Have Skills

• Systems-level programming experience in Go, Rust, C, or C++.
• A solid grasp of networking protocols in Layers 3 and 4 of the OSI Model.
• Knowledge of HTTP, TLS, and CDN networks.
• Experience in implementing secure and highly-available distributed systems.
• Strong ability to debug issues in complex systems.
• Strong collaboration and communication skills.

Bonus Points

• Knowledge of TCP/IP and Internet routing.
• Professional systems-level programming experience in Rust.
• Working knowledge of statistical-analysis techniques and control theory.
• Experience building tools and APIs.
• Experience with monitoring, alerting, and debugging large-scale distributed systems
• Experience participating in an on-call rotation.
• Experience using AI-assisted development tools (e.g., code completion, codebase analysis, log/data exploration) in a professional setting.

What Makes Cloudflare Special?

• We're a highly ambitious, large-scale technology company with a soul.
• We're committed to protecting the free and open Internet.
• We've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work.
• We've provided services to more than 425 local government election websites in 33 states.
• We've released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver.

Sound like something you'd like to be a part of? We'd love to hear from you!

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers trillions of requests per month. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code.

What you'll do as a Specialist Solution Engineer

You will work with our clients to understand their business needs and understand their current applications landscape and access architecture with the goal of helping them develop a security posture that meets their needs while also keeping their employees and assets safe according to the most recent standards in cyber security. You will do this with the technological solutions in the Cloudflare One product portfolio, which encompasses different Zero Trust offerings, including our cutting edge Remote Browser Isolation and email security solutions.

Responsibilities

• Serve as a trusted advisor to our customers; helping them find the best solution for their business needs with Cloudflare One.
• Guide qualified prospects through the Solution Design and Proof of Concept stages of sales engagements; showing them the key capabilities of the Cloudflare One portfolio
• Work with your Sales Partners to consistently achieve Pipeline and Revenue goals
• Understand our customers IT landscape and security requirements and develop an architecture for our customers to support their business needs
• Articulate the benefits of the Cloudflare One product portfolio vs competing solutions
• Promote retention by capturing and communicating gaps in product or features

Skill Requirements

• Curiosity and Learning Agility
• 8+ years of prior Technical Sales, Systems Engineering, or related experience
• Experience interacting with senior level/executives to communicate a message of network and security transformation
• Familiar with trends in cyber security (e.g. RAT/trojans, malware, ransomware, phishing, adware, cryptomining, spam, botnets, info stealing, scareware)
• Fundamental understanding of customer network and application architectures.
• Technical curiosity and passion: Cloudflare is at the cutting edge of internet technology. It’s incumbent on us to stay up to date not only with Cloudflare’s specific products, but with industry trends.
• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP.
• SASE concepts and Zero Trust Networking architectures
• Secure Web Gateway, CASB, DLP, DNS, DNS over HTTPS
• IdP/authentication, SAML, OTP
• SaaS application integration and tenant controls
• VPN and remote access challenges
• SIEM and log analytics platforms
• Client OS fundamentals and software distribution
• Ability to jump in with hands-on configuration when needed
• Ability to manage a project, work to deadlines, and prioritize between competing goals

Other desirable skills areas include:

• Routing, subnetting, split tunnels. SD-WAN, local internet breakout
• End user and application security risks
• DDoS, malware, phishing, viruses
• Knowledge of competitive market around CDN providers, Web application Firewall, Remote access solutions, Next generation Firewalls, CASB solutions , DDOS mitigations solutions, SD-WAN solutions , Secure Gateway solutions

Ideally knowledge of Cloudflare ZTNA solutions such as Teams, Access, Gateway, and Browser Isolation

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to diversity, equity, and inclusion.

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Our Network Engineering team handles a dynamic, constantly growing and evolving global network that provides a reliable, high-performance and secure network behind one of the few products in the world that touches over 1 billion people.

As a Network Engineer, you will be responsible for defining configuration and architecture standards, contributing to the qualification of new platforms, provisioning of network devices, and managing corporate circuits.

Responsibilities

• Help to define configuration and architecture standards
• Contribute to the qualification of new platforms
• Provisioning of network devices in corporate offices and POPs as per documented procedures
• Provisioning and management of corporate circuits
• Contribute to the continuous improvement of configuration standards and operational procedures
• Contribute to the continuous improvement of corporate device monitoring
• Liaise with third parties, IT and remote office users to fix and resolve issues
• Creation and execution of scheduled changes, process & documentation
• Participate in the on call rotation
• Maintaining and upgrading existing systems, firmware updates and configurations
• Monitoring network performance and ensuring system availability and reliability
• Troubleshooting: Analyzing and resolving network hardware and software problems

Basic Qualifications

• Basic understanding of BGP configuration and management
• Basic knowledge of backbone and datacenter networks
• Working understanding of wireless technologies
• Working knowledge of at least one internal routing protocol, its configuration and day to day operation
• Working knowledge of corporate networking
• Working knowledge of TCP/IP
• Working knowledge of remote access
• Strong documentation and communication skill set

Preferred Skills and Experience

• Familiarity with multiple networking vendors, such as Juniper, Cisco, Aruba, Arista
• Remote Access
• Network security and NAC
• Scripting and automation of network operations activities

ITAR Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Available Location:

Available locations: Denver, CO

What you'll do as a Senior Solutions Engineer, Majors Accounts

The Solution Engineering organization is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Reporting to the Solution Engineering Manager, the Majors Accounts Solutions Engineer is a Senior level role.

You are a customer-facing technologist within the Cloudflare Solutions Engineering team. You have strong experience in large account pre-sales management as well as excellent verbal and written communications skills suited for executive-level engagement. You are comfortable speaking about the Cloudflare vision and mission with C-level customer executives.

Your role will be to build passionate champions within the technology ranks at your accounts, drive sales for identified opportunities, and leverage your relationships with these technical champions to build a revenue pipeline where no opportunities yet exist. You will work within a high-profile pursuit team dedicated to certain strategic accounts, working closely with the majors account executives attached to these accounts.

Responsibilities

• Build and maintain long-term technical relationships with the technical buyers (executives, managers, and individual contributors) at your assigned accounts, becoming a trusted advisor to those stakeholders.
• Deeply understand the business-critical issues that your accounts are facing, and provide meaningful solution designs to facilitate technical validation of Cloudflare as a part of the customer’s infrastructure, including the coordination of Cloudflare colleagues throughout the sales and procurement cycle.
• Identify and drive technical conversations in every possible line of business within the accounts, engaging key technical buyers with the purpose of uncovering new areas of potential revenue & showing value to all possible parts of your accounts.
• Empower customers in their security and network transformation journeys, helping them to define strategies and architect necessary security controls aligned with Cloudflare product suites.
• Be the voice of the customer internally at Cloudflare, engaging with and influencing Cloudflare’s Product and Engineering teams to meet your customers’ needs.
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity, and other industry events with thought leadership and expertise.

Desirable Skills, Knowledge, and Experience

• Polished communication and executive presentation skills with the ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).
• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts. Experience in managing various stakeholder relationships to build consensus on security solutions/projects.
• Experience managing technical sales within large accounts.
• Developing champion-style relationships
• Driving technical wins
• Assisting with technical validation
• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):

Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication Cloud computing technologies such as AWS, GCP, Azure, and others Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.

Compensation

Compensation may be adjusted depending on work location.

For Denver, Colorado-based hires: Estimated annual salary of $208,000 - $254,000. This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future, and make life a little easier and fun!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance

Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan

Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers,at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project’s inception, we’ve protected over 20 million registered voters and helped to safeguard the integrity of elections in several states.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Responsibilities

As a Partner Solutions Engineer, you will be responsible for building passionate champions within the technology ranks at your Partner accounts, aiding your Partner organisations to drive sales for identified opportunities, and collaborating with your technical champions to build revenue pipeline.

You will work closely with every team at Cloudflare, from Sales and Product, through to Engineering and Customer Support. You have strong experience in large Pre-Sales partner and account management as well as excellent verbal and written communications skills in both local and English, suited for both technical and executive-level engagement.

You are comfortable speaking about the Cloudflare vision and mission with all technical and non-technical audiences. Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms.

You are naturally curious, and an avid builder who is not afraid to get your hands dirty. You appreciate the diversity of challenges in working with partners and customers, and look forward to helping them realise the full promise of Cloudflare.

On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other.

Specifically, we are looking for you to:

• Build and maintain long term technical relationships with our partners to increase Cloudflare's reputation and authority within the partner solution portfolio through demonstrating value, enablement, and uncovering new areas of potential revenue

• Drive technical solution design conversations and guide partners in India through use case qualification and collaborative technical wins through demonstrations and proofs-of-concepts

• Evangelise and represent Cloudflare through technical thought leadership and expertise

• Be the voice of the partner internally at Cloudflare, engaging with and influencing Cloudflare's Product and Engineering teams to meet your partner and customer needs

Travel up to 40% throughout the quarter to support partner engagements, attend conferences and industry events, and to collaborate with your Cloudflare teammates in local and English.

Examples of desirable skills, knowledge and experience:

• Minimum 10 years experience in a pre-sales SE or consulting role

• Fluency in local and English (verbal and written)

• Experience managing technical sales within large partners and accounts:

• Developing champion-style relationships

• Developing partner technical competencies

• Driving technical wins

• Assisting with technical validation

• Experience with or curiosity in any of the core industry components of Cloudflare solutions (and passion to learn more):

• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP

• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management

• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development

• SASE concepts and Zero Trust Networking architectures

• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organisations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorisation to receive software or technology controlled under these U.S. export laws without sponsorship for an export licence.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, colour, religion, sex, gender identity, sexual orientation, age, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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This is a horizontal, org-wide role , you won't be embedded in a single product team, you'll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into.

Feedback at Anthropic is uniquely high-leverage. We're building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code).

Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.

You treat feedback loops as a product. You're obsessed with making it effortless for the field to share what they're hearing and for product teams to know what matters most.

You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.

Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.

Key Responsibilities

You'll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes.

Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you'll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.

You'll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.

Feedback Intake & System of Record

• Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.

• Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.

AI-Enabled Synthesis & Triage

• Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.

• Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.

• Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.

Routing & Closing the Loop

• Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.

• Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.

Voice of the Customer Programs

• Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.

• Define what 'high-signal' means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.

Continuous Improvement

• Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.

• Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.

You may be a good fit if you:

• Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.

• Have personally shipped AI-enabled processes and systems , you've written the prompts, built the evals, and iterated on production LLM workflows yourself.

• Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions.

• Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn't exist yet, shipped v1s in weeks not quarters, and iterated in public.

• Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don't report to you.

• Are comfortable with ambiguity and can create structure where none exists , you've built the v1 of a system and iterated it into something teams rely on.

• Are service-oriented and obsessed with making it easy for others to do great work.

Strong candidates may also have experience with:

• Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.

• Product Management, Customer Success Operations, or Research Operations.

• Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.

• Treating process as a product with users, metrics, and continuous iteration.

• Track record of building and scaling operations programs from zero to one.

Annual compensation range for this role is $260,000-$325,000 USD

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You'll gain hands-on experience with our products, learn the inner workings of Cloudflare's offerings, and continue to extend and deepen your understanding of foundational internet technologies. This role also provides opportunities to develop valuable technical and professional skills as well as job shadowing experiences to explore different roles within the company.

Responsibilities:

• Own the toughest technical challenges and escalations within the scope of the Customer Support while maintaining high standards of individual and team performance
• Maintain clear, timely, and productive communications with customers via our ticketing system and phone support channels
• Become a go-to resource for technical and process knowledge inside and outside the Support organization
• Proactively identify and execute on opportunities for team growth and improvement
• Assist with training and mentoring other team members
• Help create and update technical documentation and runbooks
• Provide feedback on our product and potential improvements based on customer interactions
• Support the team in testing new releases and reporting bugs
• Perform other duties/projects as assigned

Required Skills and Experience:

• 5-7 years of experience working in a technical Customer Support role supporting large enterprise and SMB clients
• Excellent written and verbal communication skills
• Self-driven and comfortable learning new technologies and systems on an ongoing basis
• Strong understanding of how the Internet works at OSI Model layers 3, 4, and 7
• Strong understanding of DNS, SSL/TLS, and HTTP(S) protocols
• Strong understanding of HTTP reverse proxying, caching, and load balancing
• Experience using Linux and associated command line tools, including curl, dig, traceroute, openssl, git, etc.
• Experience writing scripts in Bash, Python, JavaScript, or other scripting languages

Preferred Skills and Experience:

• Prior experience with the Cloudflare platform, especially for personal projects/websites
• Experience troubleshooting network connectivity issues, BGP routing, and GRE tunnels
• Experience configuring network or application firewalls
• Experience with web development and/or web hosting
• Degrees or certifications in Computer Science, Information Technology, and related fields
• Fluency in Mandarin, Spanish, and/or Portuguese

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You will identify and map customer initiatives and business problems to Cloudflare solutions, build relationships and technical champions within customer accounts, develop and present customer presentations at every Enterprise Customer's organization level, lead demo and proof-of-concept activities for Cloudflare prospects and customers, demonstrate your expertise of Cloudflare with your peers through the creation of professional content, including white papers, blog posts and other knowledge sharing activities, represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise, and apply in-depth vertical knowledge or domain expertise.

The ideal candidate will have previous experience as a Solutions Engineer or other customer-facing technical role with CDN, Security, Networking or SaaS, solid communication, written and presentation skills, ability to work on several projects and activities concurrently, highly driven individuals that are curious, team players and work with a sense of urgency, and a Bachelor's Degree or equivalent in relevant work experience.

The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

Desirable skills areas include experience interacting with senior-level executives to communicate a message of network and security transformation, routing, subnetting, split tunnels, SD-WAN, local internet breakout, end-user and application security risks, DDoS, malware, phishing, viruses, and knowledge of competitive market around CDN providers and internet security technologies.

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The Proposal Coordinator will report into Databricks' Legal Operations Leadership and will be an important part of the team responsible for providing legal support for Databricks' revenue-generation activities.

Specific responsibilities include responding to a variety of international and U.S. customer questionnaires, RFQs, RFIs, registration, supplier, and onboarding forms, and the like – for new and current customers.

The successful candidate will also manage a queue for the questionnaires and other requests, including pulling in subject matter experts.

There might also be an opportunity to work with the Global Proposal Program Manager on RFPs, via an intake program/process.

The ideal candidate will be an expert at coordinating with cross-functional teams and subject matter experts worldwide to ensure timely and compelling responses that align with Databricks’ global strategy, compliance requirements, and internal policies.

We are also looking for someone with commercial GenAI-driven automated strategic response management experience, including automation for streamlining the answer process; creating and/or maintaining a knowledge base of questions and answers; and creating enablement focused on educating internal customers (e.g., field sales) on the program/process.

As the Global RFx program evolves, so will the role and responsibilities.

Responsibilities:

• Coordinate with customer questionnaire teams, collaborate closely with internal and external stakeholders, and deliver high-quality content and compelling responses.

• Help track questionnaires and proposals (e.g., downselection rate for RFx, revenue impact, on-time/SLA completion rate, questionnaire types, revenue impact), identify areas for improvement, and refine future response strategies.

• Demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.

• Manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.

• Routinely identify and recommend opportunities to change and improve ways of working.

• Be a bar raiser, constantly looking to improve standards within the team, such as by creating and implementing new approaches in standardizing proposal/customer questionnaire response formats and updating guidelines to streamline process and quality across different regions.

Requirements:

• Outstanding interpersonal and communication skills

• Three or more years of experience working as the primary proposal management resource for RFx, due diligence questionnaires, and vendor onboarding questionnaires.

• Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.

• Bachelor's degree or equivalent.

• Demonstrable experience with supporting RFx programs, including knowledge of public sector programs.

• Familiarity with analyzing RFx and questionnaire requests to create tailored, compelling responses.

• Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).

• Strong project management skills.

• Excellent written and verbal communication.

• Ability to work effectively with cross-functional teams across diverse cultures.

• Strategic thinking and problem-solving abilities.

• Familiarity with relevant industry regulations and compliance requirements.

• Proficiency with proposal management software.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilizing the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Zone 2 Pay Range $92,200-$126,700 USD

Zone 3 Pay Range $87,000-$119,700 USD

XML job scraping automation by YubHub

At Cloudflare, we're on a mission to help build a better Internet. Today, the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Senior Strategic Solutions Engineer, you will be a customer-facing hands-on technologist with credibility built on domain expertise across the region. You should have solid experience in influencing enterprise architecture design across various senior buyer personas both at customers and partner organizations.

Your role will be to convince these decision makers of the long-term value of thinking of Cloudflare as a strategic technology partner. You will work as a part of a highly visible structured pursuit team attached to designated strategic accounts, working to understand their unique business challenges and priorities with a goal of defining short and long-term solution architecture with Cloudflare as a centrepiece.

Responsibilities

• Build and maintain the long-term technical relationship of key accounts, ensuring the successful design, proof, and adoption of Cloudflare as a part of the customers' critical infrastructure.

• Identify and drive strategic conversations with key stakeholders with the purpose of increasing our reputation and authority within the business, and further establishing our footprint within the customers' landscape.

• Be the voice of the customer, engaging and influencing Product Management and Product Roadmap to serve their needs.

• Demonstrate your expertise of Cloudflare within your field through the creation of professional content, including white papers, reference architectures, blog posts, and demo proof-of-concept labs.

• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity, and Industry-focused events with thought leadership and expertise.

Requirements

• 10+ years of relevant experience

• Experience interacting with senior-level executives to communicate a message of network and security transformation

• Fundamental understanding of customer network and application architectures

• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP

• Secure Web Gateway, CASB, DLP, DNS, DNS over HTTPS

• IdP/authentication, SAML, OTP

• SaaS application integration and tenant controls

• VPN and remote access challenges

• SIEM and log analytics platforms

• Client OS fundamentals and software distribution

Preferred Skills

• Routing, subnetting, split tunnels. SD-WAN, local internet breakout

• End-user and application security risks

• DDoS, malware, phishing, viruses

• Knowledge of competitive market around CDN providers, Web application Firewall, Remote access solutions, Next-generation Firewalls, CASB solutions, DDOS mitigations solutions, SD-WAN solutions, Secure Gateway solutions

• Ideally knowledge of Cloudflare ZTNA solutions such as Teams, Access, Gateway, and Browser Isolation

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure, and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here's the deal - we don't store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you'd like to be a part of? We'd love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job.

XML job scraping automation by YubHub

This role focuses on automating processes, building and implementing robust observability solutions, and ensuring seamless operations for mission-critical AI infrastructure.

The ideal candidate will combine strong coding abilities with hands-on data center experience to build scalable reliability services, optimize system performance, and minimize downtime,including close partnership with facility operations to address physical infrastructure impacts.

In an era where AI workloads demand near-zero downtime, this position plays a pivotal role in bridging software engineering principles with physical data center realities.

By prioritizing automation and observability, team members in this role can reduce mean time to recovery (MTTR) by up to 50% through proactive monitoring and automated remediation, based on industry benchmarks from high-scale environments like those at hyperscale cloud providers.

Responsibilities:

• Design, develop, and deploy scalable code and services (primarily in Python and Rust, with flexibility for emerging languages) to automate reliability workflows, including monitoring, alerting, incident response, and infrastructure provisioning.

• Implement and maintain observability tools and practices, such as metrics collection, logging, tracing, and dashboards, to provide real-time insights into system health across multiple data centers,open to innovative stacks beyond traditional ones like ELK.

• Collaborate with cross-functional teams,including software development, network engineering, site operations, and facility operations (critical facilities, mechanical/electrical teams, and data center infrastructure management),to identify reliability bottlenecks, automate solutions for fault tolerance, disaster recovery, capacity planning, and physical/environmental risk mitigation (e.g., power redundancy, cooling efficiency, and environmental monitoring integration).

• Troubleshoot and resolve complex issues in data center environments, including hardware failures, environmental anomalies, software bugs, and network-related problems, while adhering to reliability principles like error budgets and SLAs.

• Optimize Linux-based systems for performance, security, and reliability, including kernel tuning, container orchestration (e.g., Kubernetes or emerging alternatives), and scripting for automation.

• Understand network topologies and concepts in large-scale, multi-data center environments to effectively troubleshoot connectivity, routing, redundancy, and performance issues; integrate observability into data center interconnects and facility-level controls for rapid diagnosis and automation.

• Participate in on-call rotations, post-incident reviews (blameless postmortems), and continuous improvement initiatives to enhance overall site reliability, including joint exercises with facility teams for physical failover and recovery scenarios.

• Mentor junior team members and document processes to foster a culture of automation, knowledge sharing, and adaptability to new technologies.

Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related technical field (or equivalent professional experience).

• 5+ years of hands-on experience in site reliability engineering (SRE), infrastructure engineering, DevOps, or systems engineering, preferably supporting large-scale, distributed, or production environments.

• Strong programming skills with proven production experience in Python (required for automation and tooling); experience with Rust or willingness to work in Rust is a plus, but strong coding fundamentals in at least one systems-level language (e.g., Python, Go, C++) are essential.

• Solid experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.

• Practical knowledge of containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).

• Experience implementing observability solutions, including metrics, logging, tracing, monitoring tools (e.g., Prometheus, Grafana, or alternatives), alerting, and dashboards.

• Familiarity with troubleshooting complex issues in distributed systems, including software bugs, hardware failures, network problems, and environmental factors.

• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.

• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.

• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

Preferred Skills and Experience:

• 7+ years of experience in SRE or infrastructure roles, ideally in hyperscale, cloud, or AI/ML training infrastructure environments with multi-data center setups.

• Hands-on experience operating or scaling Kubernetes clusters (or equivalent orchestration) at large scale, including automation for provisioning, lifecycle management, and high-availability.

• Proficiency in Rust for systems programming and performance-critical components.

• Direct experience integrating software reliability tools with physical data center infrastructure.

• Experience with observability tools and practices, such as metrics collection, logging, tracing, and dashboards.

• Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes (or similar systems).

• Experience with Linux systems administration, performance tuning, kernel-level understanding, and scripting/automation in production environments.

• Understanding of networking fundamentals (TCP/IP, routing, redundancy, DNS) in large-scale or multi-site environments.

• Experience participating in on-call rotations, incident response, post-incident reviews (blameless postmortems), and reliability practices such as error budgets or SLAs.

• Ability to collaborate effectively with cross-functional teams (software engineers, network teams, site/facility operations, mechanical/electrical teams).

XML job scraping automation by YubHub

You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes,including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritize, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modeling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

• Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

• Build and maintain a unified enrichment master,a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

• Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximize coverage, accuracy, and cost efficiency while minimizing redundancy

• Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

• Hands-on data manipulation and transformation,write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

• Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

• Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

• Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

• Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact,using metrics to continuously improve the enrichment ecosystem

• Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

• Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

• 10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

• Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

• Strong Salesforce experience (required),including data modeling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

• Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

• Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities,able to translate business needs into technical requirements and drive execution across cross-functional teams

• Dual data + RevOps mindset,equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimization

• Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

• Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)

• Familiarity with data quality and MDM (Master Data Management) frameworks and tools

• Experience with routing and scoring tools such as LeanData, and marketing automation platforms

• Background in startup signal detection,identifying high-potential early-stage companies through funding, hiring, technographic, and intent signals

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $190,000-$270,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the one

XML job scraping automation by YubHub

Your responsibilities will include:

• Documenting and designing fiber networks using IQGeo Network Manager and CAD, including route modeling, data import, and report generation.
• Conducting site surveys and producing detailed OSP (aerial/underground) and ISP (building entry/riser) connectivity designs in GIS and/or CAD.
• Surveying, documenting, and installing/run jumpers for new and existing fiber cross-connects; maintaining accurate records in IQGeo and CAD.
• Performing basic fiber testing with VFL (fault location) and OPM (power/loss measurement); cleaning connectors and inspecting end-faces. Applying basic OTDR skills and interpreting fiber trace reports.
• Collaborating with teams to install and maintain OXC jumpers in a clean and orderly manner.
• Collaborating with teams on projects, permitting, and QA; ensuring compliance with industry standards.
• Working with OSP and Construction teams to create, submit, and/or monitor permits.

To succeed in this role, you will need:

• 5+ years of hands-on experience in fiber optic network design, surveying, testing, and OSP/ISP deployments (experience may substitute for formal education).
• Proficiency with IQGeo Network Manager and CAD or similar geospatial design tools.
• Experience with fiber testing equipment (VFL, OPM) and cross-connect/jumper installations.
• A valid driver's license and physical capability for field work, including walking varied terrain, ladder use, and cable handling.
• Ability to travel ~50%

Preferred skills and experience include relevant certifications such as CFOT or Fiber Optic Technician, strong knowledge of fiber optic standards, connector cleaning/inspection, and jumper/cross-connect routing, experience with NetBox (or similar DCIM/IPAM tools), and excellent analytical, documentation, and problem-solving skills.

XML job scraping automation by YubHub

At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market.

About The Role

We are looking for an experienced Engineering Leader to join our team. As a Technical Leader, you will lead a core part of our payments ecosystem, building and evolving solutions that serve enterprise clients using our payments platform.

Responsibilities

• Lead the technical evolution of Yuno's merchant experience, focused on Core platform, APIs, and payment integrations.
• Own system and integration architecture connecting backend services and payment flows.
• Contribute hands-on to development, architecture decisions, and code reviews.
• Ensure scalable, maintainable, and well-documented solutions for enterprise merchants.
• Collaborate with Product, Backend, and Payments teams to align platform and merchant needs.
• Drive engineering best practices in API design, testing, and performance.
• Support and mentor engineers through technical guidance and architectural direction.

What We Offer at Yuno

• Competitive Compensation.
• Remote Work – You can work from everywhere!
• Home Office Bonus – A one-time allowance to help you create your ideal home office.
• Work Equipment.
• Stock Options.
• Health Plan wherever you are.
• Flexible Days Off.
• Language, Professional, and Personal Growth courses.

Skills You Need

• Advanced English; conversational Spanish is a plus.
• Experience in payments companies or payments-related teams.
• Deep experience in payments infrastructure, including network tokens, routing, and transaction optimization.
• Staff-level technical leadership experience, with the ability to influence architecture, mentor engineers, and represent technical decisions to both technical and non-technical audiences.
• Strong backend engineering experience, with focus on implementation and system design.
• Proven experience building and maintaining platforms, APIs, and integrations.
• Solid understanding of scalable architectures and distributed systems.
• Hands-on experience with Java, Golang or Kotlin.
• Experience contributing to technical decisions and code reviews.
• Hands-on experience leveraging AI tools and systems (e.g. Claude, AI agents, or LLM-powered workflows) to improve developer productivity or platform capabilities.

XML job scraping automation by YubHub

The position requires deep technical expertise in NetSuite development, strong ERP process knowledge, and the ability to design scalable, compliant, and well-governed enterprise solutions.

You will work closely with Finance, Supply Chain, Manufacturing, and Enterprise Technology stakeholders to translate complex operational requirements into robust system designs. This role emphasizes architectural discipline, integration design, internal controls, and long-term platform scalability within structured and compliance-driven environments.

Responsibilities:

• Architect, design, and maintain scalable NetSuite solutions using SuiteScript, SuiteFlow, SuiteTalk, and SuiteBuilder.

• Translate complex Finance, Accounting, and Manufacturing requirements into robust, supportable system configurations.

• Lead ERP–MES integration design, ensuring reliable and secure data flow between manufacturing systems and NetSuite.

• Support advanced manufacturing operations including BOMs, routings, WIP, inventory, demand planning, and cost accounting.

• Design and optimize Procure-to-Pay processes, including PO lifecycle governance, approval workflows, and transaction state controls.

• Simplify and automate vendor onboarding processes with proper validations, compliance checks, and approval controls.

• Establish CI/CD practices and structured deployment governance, including version control of scripts and configuration metadata across environments.

• Ensure strong internal controls, segregation of duties, audit readiness, and system integrity within regulated or defense-focused environments.

• Optimize system performance, scalability, and long-term platform stability while minimizing unnecessary customization.

Qualifications:

• 5+ years of progressive NetSuite development experience in complex enterprise environments.

• Proven experience supporting multi-subsidiary or multi-legal-entity NetSuite deployments.

• Deep functional understanding of core ERP processes including Procure-to-Pay, Order-to-Cash, Record-to-Report, and Inventory Management.

• Experience working in advanced manufacturing environments.

• Strong understanding of ERP–MES integration concepts, data mapping strategies, and transactional integrity controls.

• Proficiency in SuiteScript 2.x and structured scripting patterns with focus on governance limits and maintainable design.

• Experience implementing version control and structured release management methodologies.

• Strong knowledge of NetSuite Saved Searches, reporting architecture, and data extraction strategies.

• Experience operating in regulated or defense-related environments preferred.

• Strong analytical and architectural problem-solving capabilities.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent work experience.

Key to Success in This Role:

• Strong architectural mindset with the ability to balance business needs, system integrity, and long-term scalability.

• High ownership mentality with disciplined execution and attention to detail.

• Ability to challenge requirements constructively and recommend optimal ERP design approaches.

• Comfortable operating in structured, compliance-driven, and audit-sensitive environments.

• Strong collaboration and communication skills across technical and functional stakeholders.

• Ability to prioritize effectively in fast-paced, high-growth manufacturing environments.

• Proactive in identifying process gaps, inefficiencies, and automation opportunities.

• Commitment to maintaining clean system design and avoiding unnecessary customization.

Physical Demands:

• Prolonged periods of sitting at a desk and working on a computer.

• Occasional standing and walking within the office.

• Manual dexterity to operate a computer keyboard, mouse, and other office equipment.

• Visual acuity to read screens, documents, and reports.

• Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies.

• Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information:

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services

• Saronic pays 100% of the premium for employees and 80% for dependents

• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care

• Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents

• Time Off: Generous PTO and Holidays

• Parental Leave: Paid maternity and paternity leave to support new parents

• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses

• Retirement Plan: 401(k) plan with company match

• Stock Options: Equity options to give employees a stake in the company’s success

• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage

• Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline

Additional Perks:

• Free lunch benefit and unlimited free drinks and snacks in the office

XML job scraping automation by YubHub

Key Responsibilities:

• Supervise and mentor a team of technicians, promoting a culture of collaboration, safety, and continuous improvement.
• Train, evaluate, and manage production personnel, set performance standards and conduct regular assessments.
• Manage the scheduling, planning, and execution of integration operations to meet production goals.
• Ensure compliance with safety regulations and industry standards.
• Track production data and implement improvements to enhance efficiency and reduce costs.
• Implement and maintain quality assurance protocols to ensure precision and reliability in ASV builds.
• Troubleshoot and resolve integration issues, optimizing processes for efficiency and effectiveness.
• Oversee maintenance and repair of equipment and tools to ensure optimal performance.
• Assess and recommend new technologies and equipment to enhance production capabilities.
• Work closely with engineering and design teams to provide feedback on manufacturability and suggest improvements.
• Coordinate with supply chain management for materials and inventory control.
• Assist in resource allocation to hit weekly and monthly delivery objectives.

Qualifications:

• Bachelor’s degree in mechanical engineering, Manufacturing Technology, or a related field (preferred), though significant experiences may substitute for formal education.
• 5+ years of experience in a integration or production floor with at least 2 years in a supervisory or management role.
• Strong knowledge of fabricating, harness routing, and lifting operations.
• Experience in the defense industry or working with autonomous systems is a plus.
• Proven ability to lead teams, manage projects, and meet tight deadlines.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills.

Physical Demands:

• Ability to perform physically demanding work for extended periods of time, up to 12 hours/day.
• Frequently and repetitively, lift, push and carry up to 35 lbs.
• The ability to carry 20 lbs. up and down stairs.
• Ability to stand and walk for up to 12 hours/day, including over varied and uneven terrain.
• Stoop, lay, bend, reach, squat, kneel, crouch, twist and crawl for extended periods of time, including up to 12 hours/day.
• Climb and maintain balance on ladders, platforms, or other high structures.
• Ability to find issues in a work process and be alert to safety signals using sight, touch, and hearing.
• Demonstrated ability to handle and manipulate tooling and mechanically fasten bolts within required cycle time.
• Exposures to hazardous materials and ability to follow waste handling/disposal procedures.
• Exposure to offensive odors for an extended period of time.
• Wearing Personal Protective Equipment, including but not limited to safety glasses, safety shoes, hearing protection, respiratory protection, gloves, and adhering to prescribed safety rules and guidelines.

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services.
• Saronic pays 100% of the premium for employees and 80% for dependents.
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care.
• Saronic pays 99% of the premium for employees and 80% for dependents.
• Time Off: Generous PTO and Holidays.
• Parental Leave: Paid maternity and paternity leave to support new parents.
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses.
• Retirement Plan: 401(k) plan.
• Stock Options: Equity options to give employees a stake in the company’s success.
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage.
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office.

XML job scraping automation by YubHub

Key Responsibilities:

• Leadership & Team Management: Supervise and mentor a team of technicians, promoting a culture of collaboration, safety, and continuous improvement.
• Operational Oversight: Manage the scheduling, planning, and execution of integration operations to meet production goals.
• Quality Control: Implement and maintain quality assurance protocols to ensure precision and reliability in ASV builds.
• Equipment Management: Oversee maintenance and repair of equipment and tools to ensure optimal performance.
• Collaboration: Work closely with engineering and design teams to provide feedback on manufacturability and suggest improvements.

Qualifications:

• Bachelor’s degree in mechanical engineering, Manufacturing Technology, or a related field (preferred), though significant experiences may substitute for formal education.
• 5+ years of experience in a integration or production floor with at least 2 years in a supervisory or management role.
• Strong knowledge of fabricating, harness routing, and lifting operations.
• Experience in the defense industry or working with autonomous systems is a plus.

Physical Demands:

• Ability to perform physically demanding work for extended periods of time, up to 12 hours/day.
• Frequently and repetitively, lift, push and carry up to 35 lbs.
• The ability to carry 20 lbs. up and down stairs.
• Ability to stand and walk for up to 12 hours/day, including over varied and uneven terrain.
• Stoop, lay, bend, reach, squat, kneel, crouch, twist and crawl for extended periods of time, including up to 12 hours/day.
• Climb and maintain balance on ladders, platforms, or other high structures.
• Ability to find issues in a work process and be alert to safety signals using sight, touch, and hearing.
• Demonstrated ability to handle and manipulate tooling and mechanically fasten bolts within required cycle time.
• Exposures to hazardous materials and ability to follow waste handling/disposal procedures.
• Exposure to offensive odors for an extended period of time.
• Wearing Personal Protective Equipment, including but not limited to safety glasses, safety shoes, hearing protection, respiratory protection, gloves, and adhering to prescribed safety rules and guidelines.

Benefits:

• Medical Insurance: Comprehensive health insurance plans covering a range of services.
• Saronic pays 100% of the premium for employees and 80% for dependents.
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care.
• Saronic pays 99% of the premium for employees and 80% for dependents.
• Time Off: Generous PTO and Holidays.
• Parental Leave: Paid maternity and paternity leave to support new parents.
• Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses.
• Retirement Plan: 401(k) plan.
• Stock Options: Equity options to give employees a stake in the company’s success.
• Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage.
• Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office.

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Responsibilities: Develop and maintain EWIS architectures, schematics, and harness assembly drawings in Zuken E3 with a strong emphasis on design intent, configuration control, and manufacturability. Lead complex 3D harness routing and packaging trade studies using NX (or equivalent), balancing integration constraints, serviceability, and production repeatability. Independently size wiring, shields, and protection devices considering continuous/transient loads, voltage drop, derating, thermal environment, and fault conditions. Identify and mitigate EMI/EMC risk through grounding/bonding strategy, routing/separation, shielding, and termination choices aligned to system architecture. Review and approve EWIS designs produced by Level 1 engineers; mentor and raise documentation and design quality across the team. Serve as a primary EWIS interface to manufacturing and external suppliers; drive build readiness, incorporate DFM feedback, and mitigate schedule/technical risk. Plan and review EWIS verification & validation activities; lead root-cause analysis and corrective actions for complex wiring, EMI, and integration issues. Interpret and enforce IPC/WHMA, ABYC, ABS, and applicable MIL standards within projects, ensuring consistent application across designs and releases.

Qualifications & Skills: Bachelor’s degree in Electrical Engineering, Mechatronics, or related field. 5–12+ years of EWIS, harness engineering, or electrical integration experience with demonstrated ownership. Proficiency with Zuken E3 (or equivalent) and 3D harness routing/integration tools (e.g., NX or equivalent). Deep expertise in EWIS integration and production support, including independent wire/shield/protection sizing and robust grounding/bonding/shielding strategies. Strong ability to interpret and produce complex technical documentation (schematics, BOMs, harness/installation drawings) and ensure design intent carries through to installation. Proven ability to lead cross-functional technical execution, improve workflows/documentation quality, and mentor engineers.

Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Occasional standing and walking within the office. Manual dexterity to operate a computer keyboard, mouse, and other office equipment. Visual acuity to read screens, documents, and reports. Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies. Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages).

Additional Information: Benefits: Medical Insurance: Comprehensive health insurance plans covering a range of services Saronic pays 100% of the premium for employees and 80% for dependents Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% of the premium under the basic plan for employees and 80% for dependents Time Off: Generous PTO and Holidays Parental Leave: Paid maternity and paternity leave to support new parents Competitive Salary: Industry-standard salaries with opportunities for performance-based bonuses Retirement Plan: 401(k) plan with company match Stock Options: Equity options to give employees a stake in the company’s success Life and Disability Insurance: Basic life insurance and short- and long-term disability coverage Pet Insurance: Discounted pet insurance options including 24/7 Telehealth helpline Additional Perks: Free lunch benefit and unlimited free drinks and snacks in the office

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Belong is building the Residential Operating System: a fully integrated, AI-powered platform that manages homes, coordinates thousands of real-world service moments, and creates authentic belonging experiences for homeowners and residents. The member journey is the product. But the Residential OS only delivers on that promise if the operational machinery running beneath it is intelligent, instrumented, and self-improving.

Most companies say they are AI-first. At Belong, it means something specific: by the end of 2025, the majority of communications across sales, leasing, homecare, and concierge functions are AI-generated. Human Advisors and Concierges handle trust-critical moments. AI agents handle everything else: triage, scheduling, status updates, escalation routing, vendor coordination, documentation.

The operations product surface is where that architecture lives or dies. As Product Owner, Operations, your job is to design, deploy, and relentlessly improve the AI-powered system that runs the homeowner and resident journey from inspection through occupancy. You are not writing requirements for a future that engineers will build someday. You are shipping agent-driven workflows today, measuring their quality and deflection rates next week, and iterating the week after.

This role is for someone who understands that the frontier of operations is not better dashboards. It is autonomous systems that perform with the judgment of your best operator, at infinite scale, at the moment the member needs it.

Responsibilities

• AI agent architecture across the operational journey. Every operational phase, from home preparation, move-in orchestration, homecare and maintenance, to Pro coordination and vendor scheduling, has a human workflow today and an AI-assisted target state. You will define that target state phase by phase: what the agent handles autonomously, what triggers human review, what escalates immediately.

• The agent-human handoff model. The Member Journey Brief is explicit: humans are deployed at trust-critical moments. AI handles orchestration, speed, and precision behind the scenes. You are the person who defines exactly where that line sits, and who moves it systematically as agent quality improves.

• LLM-powered communication workflows. Belong's target is 80% AI-generated communications across operational functions by Q3. You will own the product layer that makes this real for operations: the prompt architecture, context retrieval pipelines, output quality review systems, and the feedback loops that improve generation quality over time.

• Foundation as the AI control panel. Foundation is where Belong's operational teams live. Every tool your squad ships into Foundation is either creating leverage for humans or replacing manual work with agent-driven automation. You will define the roadmap for Foundation's evolution from task management system to AI control panel: where agents surface for review, where exceptions queue for human action, where quality scores and deflection rates are visible in real time.

• Operational instrumentation and model feedback. AI systems degrade without structured feedback. You will build the instrumentation that captures ground truth: CSAT signals, escalation rates, rework rates, SLA breach patterns, and member sentiment. You will design the feedback loops that push this signal back into model evaluation and prompt improvement.

The AI Stack You Will Work With

• LLM-based communication generation with context injection from CRM and operational state
• Agentic scheduling and coordination workflows (Homecare triage, Pro dispatch, vendor coordination)
• Automated escalation routing based on signal classification
• Quality scoring and anomaly detection on agent outputs
• Retrieval-augmented generation for Concierge and Homecare agent context

What Success Looks Like

• 90 days: Every operational phase has a documented AI target state with defined autonomous scope, human escalation thresholds, and instrumentation in place.
• 6 months: AI-assisted workflows have measurably reduced manual communication volume across at least 2 operational functions with no CSAT degradation.
• Year 1: The majority of routine operational communications in your product surface are AI-generated. Human operators are handling exceptions, escalations, and trust-critical moments, nothing else.

Example KPIs You Will Be Held To

• AI deflection rate vs. manual handling baseline, by operational function
• CSAT from homeowners and residents at each operational phase (the constraint: deflection gains cannot come at CSAT cost)
• SLA compliance rates for homecare and Pro services
• Time-to-list (inspection to live listing)
• Move-in readiness rate and failed move-in rate
• Human escalation rate as a quality signal on agent confidence calibration

Who You Are

• AI systems thinker. You do not think about AI features. You think about AI systems: input context, output quality, fallback behavior, quality measurement, and continuous improvement loops.
• Operationally grounded. You have worked in environments where things break in the real world, with real vendors, real homes, real members, and you understand that an agent operating without the right context is more dangerous than no agent at all.
• Outcome obsessed. You hold deflection rate and CSAT simultaneously. You do not celebrate automation that degrades experience.
• Technically fluent. You can write a SQL query, read a vector similarity result, reason about retrieval quality, and understand the tradeoffs in a prompt engineering decision.
• Cross-functional driver. Operations, Homecare, Leasing, Vendor Ops, and Engineering all touch your surface. You run the rituals, translate across languages, and hold the delivery cadence.

What You Bring

• 3 to 5 years of product experience, with at least 1 to 2 years directly building or operating AI-powered products in a production environment
• Hands-on experience with LLM integrations, prompt engineering, RAG pipelines, or agentic workflow design
• Demonstrated ownership of operational tooling or service orchestration products in a marketplace, logistics, or operations-intensive environment
• Proficiency with data: SQL, funnel analysis, and the ability to detect when a metric is being gamed or misread
• Experience with AI evaluation frameworks and output quality measurement is a strong advantage
• Prior work in consumer real estate, hospitality, or residential services is a plus

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This is a Growth Operations Manager role at Belong, a venture-backed, AI-powered, people-delivered nationwide housing platform. The role is focused on increasing homeowner lead-to-listing conversion and compressing time-to-live across every market Belong operates in.

Responsibilities

• Own the full homeowner acquisition funnel, from lead capture through property going live
• Identify leaks in the funnel and design interventions to improve conversion rates
• Run structured experiments across the funnel to measure the impact of interventions
• Partner with the AI/engineering team to improve qualification models, routing logic, and automated communications
• Obsess over the gap between 'agreement signed' and 'property live' to compress cycle time

Requirements

• AI Native: think in cohorts and funnels, not averages
• Experience in a marketplace, two-sided platform, or supply-acquisition environment
• Bias toward speed and experimentation over perfect analysis
• Can articulate a specific time they personally identified a conversion lever and moved a number

Why This Role Matters

Every homeowner Belong doesn't convert or onboard fast enough is revenue left on the table for 12+ months. At our growth rate, even a 200–300 bps improvement in lead-to-listing conversion translates into meaningful incremental ARR.

Compensation

Competitive base salary + equity. Compensation is commensurate with experience and calibrated to the impact this role drives.

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Your responsibilities will include designing, configuring, deploying, monitoring, and troubleshooting production network infrastructure and associated services, including LAN, WAN, Data Center, remote access, wireless, and firewall security. You will develop and maintain comprehensive documentation for network configurations, processes, security policies, and procedures.

You will define and lead networking strategy aligned with business growth, automation goals, and scalable AI infrastructure. You will implement automation tools and AI-driven solutions to optimize network operations and reduce manual intervention. You will utilize automation tools to standardize deployment configurations and environments for consistency and efficiency.

You will identify and resolve issues related to network and security infrastructure performance, efficiency, and availability. You will communicate effectively with stakeholders at all levels, translating complex technical topics into accessible insights.

As a Sr. Staff Network Engineer, you will enable secure, scalable, and highly available network infrastructure supporting Synopsys' global business operations. You will drive innovation through the adoption of automation and AI, enhancing network efficiency and reducing manual overhead. You will champion best practices and standards that elevate network reliability, security, and performance.

You will mentor and empower team members, fostering a culture of learning, collaboration, and technical excellence. You will contribute to strategic initiatives that align networking capabilities with company growth and emerging technologies. You will enhance stakeholder engagement through clear communication and the delivery of impactful solutions.

You will influence the direction of Synopsys' network architecture, ensuring it remains at the forefront of industry advancements.

To be successful in this role, you will need:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
• 8+ years of experience in network engineering, with several years in senior staff or architecture-oriented roles
• Expertise in designing and supporting large-scale enterprise networks
• Deep understanding of network security systems and protocols (IPSec, IKE, GRE, TACACS, RADIUS, 802.1x, NAC, EAP-TLS)
• Expert-level knowledge of networking fundamentals: TCP/IP, switching/routing, BGP, OSPF, DMVPN, EVPN/VXLAN, SD-WAN, MPLS
• Proficiency in wireless standards and technologies: 802.11a/b/g/n/ac/ax, MIMO, beamforming, channel planning
• Experience with network configuration management and automation tools (Python, Ansible, OpenStack, Terraform, REST API)
• Extensive hands-on experience with Cisco, Aruba, Zscaler, Palo Alto Networks equipment and platforms
• Ability to analyze raw packet data to uncover network performance issues (latency, packet loss, application errors)
• Ability to work after hours for project and maintenance needs
• Program management skills to align cross-functional teams and drive results
• Understanding of AI, machine learning, LLMs, MCP technologies
• Relevant certifications (PCNSE, ZIA/ZPA, CCNP, CCDP, CCIE, CISSP, CCDE, CEH, Security+ or equivalent experience) are a plus

As a Sr. Staff Network Engineer, you will be a forward-thinking and innovative individual, always seeking to improve and streamline processes. You will be a collaborative leader and mentor, passionate about empowering others and sharing expertise. You will be an excellent communicator, able to bridge technical and non-technical audiences. You will be adaptable and resilient, thriving in dynamic environments. You will be strategic and detail-oriented, balancing big-picture vision with hands-on execution. You will be committed to integrity, excellence, leadership, and passion,core Synopsys values.

You will join a dynamic global network engineering team responsible for designing and supporting all network services,including LAN, WAN, Data Center, remote access, wireless, and firewall security. This collaborative group is focused on delivering secure, scalable, and resilient network solutions, embracing automation and AI to drive continuous improvement. As a mentor and leader, you will help shape a culture of innovation and learning within the team.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

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Your primary focus will be on supporting customers in enjoing Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge. Additionally, you will be knowledgeable in multiple domains of design implementation and understand codependency of flow and methodology such as Macro & Standard Cell Placement, Clock Tree Synthesis, Routing, Advanced Timing Optimization techniques.

You will also articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).

As a member of our high-performing Customer Application Services team, you will collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.

Responsibilities:

• Support customers in enjoying Synopsys products, specifically in the areas of Place & Route (physical), Synthesis (logical and physical), STA experience and knowledge.
• Articulate design methodologies involving Synopsys tools at a very advanced Node (Sub 5nm) using Synopsys Full RTL-to-GDSII solution (Fusion Compiler / IC Compiler II/ICC2).
• Collaborate closely with R&D, sales, and product groups to ensure that Synopsys customers achieve their design goals efficiently and effectively.
• Manage multiple customer activities concurrently, and work with Account Managers and AC management to set their priorities.
• Sales support roles include product demonstrations, evaluations, and competitive benchmarking. Customer support roles include training, problem resolution, and technical account management.

Key Qualifications:

• Design Implementation experience should include ASIC design using industry-standard tools (Placement, Optimization, CTS, Routing)
• RTL to GDSII full flow experience or knowledge is preferable
• Strong interest and understanding of Advanced Node & Design methodologies are required.
• In-depth Synopsys Back end tool (Logical and Physical Synthesis, AI methodologies, Timing Closure techniques, Macro Placement, Routing at advanced Node, Static Timing Analysis, including noise analysis) experience and knowledge are required.
• Knowledge of several Clock Tree Synthesis methodologies like H-Tree, MS-CTS is preferred
• Excellent verbal and written presentation/communication skills are mandatory.
• Customer sensitivity, the ability to multiplex many issues & set priorities, and the desire to help customers exploit new technologies are essential for success in the position.

Preferred Experience:

• BSEE or equivalent, required with 7+ years of experience, or MSEE, or equivalent with 5+ years of experience.
• Tool knowledge expected: Back end P&R tools (Fusion Compiler, ICC2, Innovus)
• Tool knowledge (preferred): front end Synthesis tools (Fusion Compiler, Design Compiler, Genus),
• Tool knowledge (preferred): STA (Primetime, Tempus)

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines.

You Are:

You are an accomplished R&D Engineer with a passion for advanced packaging, auto routing, and physical design automation. Your strong programming skills and experience in EDA software development set you apart. You thrive in a dynamic environment and are always looking for innovative ways to push the boundaries of technology. You enjoy collaborating with cross-functional teams and have a knack for translating complex technical concepts into actionable solutions. Your expertise in physical design routing solutions, coupled with your ability to work with minimal oversight, makes you a key player in driving strategic goals. Your communication skills allow you to effectively influence both internal and external stakeholders, ensuring the successful implementation of cutting-edge solutions.

What You’ll Be Doing:

Leading R&D projects focused on advanced packaging, auto routing, and physical design automation Developing and optimizing EDA software tools to enhance design efficiency Collaborating with cross-functional teams to integrate innovative solutions into existing workflows Conducting research to identify new methodologies in chip design and verification Providing technical guidance and mentorship to junior team members Presenting findings and recommendations to senior management and stakeholders

The Impact You Will Have:

Driving innovations in advanced packaging and physical design automation Enhancing the efficiency and effectiveness of EDA software tools Contributing to the development of high-performance silicon chips Influencing the strategic direction of R&D initiatives Mentoring the next generation of engineers and fostering a culture of continuous learning Strengthening Synopsys’ position as a leader in the semiconductor industry

What You’ll Need:

15+ years of relevant experience Strong programming skills in languages such as C++, Python, or Java Extensive experience in EDA software development and computational geometry Deep understanding of advanced packaging and physical design methodologies Proven track record of leading successful R&D projects Excellent problem-solving and analytical abilities Demonstrated skills in computational geometry and design rule checking

Who You Are:

Innovative thinker with a passion for technology Effective communicator with strong interpersonal skills Collaborative team player who thrives in a dynamic environment Detail-oriented and committed to excellence Adaptable and open to new challenges

The Team You’ll Be A Part Of:

You’ll be joining a team of dedicated professionals focused on pushing the limits of what’s possible in chip design and verification. Our team values collaboration, creativity, and continuous improvement. Together, we strive to develop solutions that meet the evolving needs of the semiconductor industry and drive technological advancements.

Benefits:

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We’re proud to provide the comprehensive benefits and rewards that our team truly deserves.

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• Health & Wellness Comprehensive medical and healthcare plans that work for you and your family.
• Time Away In addition to company holidays, we have ETO and FTO Programs.
• Family Support Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
• ESPP Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.
• Retirement Plans Save for your future with our retirement plans that vary by region and country.
• Compensation Competitive salaries.

Benefits vary by country and region - check with your recruiter to confirm

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At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are an accomplished engineering leader with over 3-6 years of experience in developing large-scale applications, particularly within the EDA domain. Your expertise spans the entire lifecycle of solution development,from initial specification to hands-on implementation, customer engagement, and iterative refinement. You thrive in environments that demand both deep technical prowess and strong leadership, and you are passionate about mentoring the next generation of engineers. Your background in C/C++ development is robust, and you approach new languages and technologies with curiosity and adaptability, making you an ideal fit for our dynamic team. You having experience with CUDA, GPU acceleration and GPU architecture knowledge is plus.

What You’ll Be Doing:

Enabling GPU Acceleration for Fusion Compiler entire R2G flow. This includes GPU acceleration of each of the engine in R2G flow with new problem formulation to take advantage of GPU architectures. These engines include placement, global routing, detail routing, CTS, optimization, timer, extraction, legalizer and synthesis.

Owning projects end-to-end,from requirements gathering and design specification to development, testing, and customer interaction,ensuring high-quality deliverables.

Collaborating closely with cross-functional teams, including product management and product engineering.

The Impact You Will Have:

Delivering GPU Accelerated Fusion Compiler, which will be game changing for chip design and implementation steps by reducing flow cycle times from weeks to days (or hours).

Empowering Synopsys customers to achieve faster turn around time and accelerating their design cycles and reducing time to market.

Elevating the technical excellence of the team by sharing best practices, fostering a culture of learning, and mentoring future leaders.

Shaping the roadmap for Digital Implementation solutions, ensuring that Synopsys remains at the forefront of EDA technology.

What You’ll Need:

Minimum 3-6 years of hands-on experience in developing software projects, preferably in EDA or semiconductor domains.

Expert proficiency in C/C++ development, with a proven track record of delivering robust, scalable solutions.

Experience with physical design, placement, and routing flows in EDA tools.

Experience with CUDA, GPU acceleration and GPU architecture knowledge is plus.

Strong knowledge of software architecture, Design Thinking, and use of design patterns.

Excellent communication skills for technical interactions.

Who You Are:

Innovative thinker who embraces new technologies and methodologies.

Strong problem solver with a strategic mindset and attention to detail.

Effective communicator, able to translate complex technical concepts for diverse audiences.

Collaborative team player, eager to contribute and learn from others.

Adaptable and resilient in the face of evolving challenges and requirements.

The Team You’ll Be A Part Of:

You’ll join the Fusion Compiler GPU Acceleration team in Synopsys Sunnyvale, CA (or Hillsboro, OR), a group of passionate engineers focused on developing industry-first and game changing GPU Accelerated Digital Implementation solution. This development is part of Nvidia/Synopsys GPU Acceleration collaboration. This team is driving innovation in EDA and empowering customers worldwide by accelerating their design cycles and reducing time to market.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.

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Collaborating with local and international teams to develop layouts for complex analog and mixed-signal designs in advanced technology nodes (3nm, 2nm, and beyond).

Utilizing Synopsys suite of tools and full custom analog layout design tools (e.g., Custom Compiler) to create and optimize circuit layouts.

Implementing and verifying designs using industry-leading verification tools such as ICV, Calibre and Star-RCXT...

Developing SERDES sub-circuit layouts (RX, TX, PLL, etc.) and optimizing for signal integrity, including clock/data routes, differential routing, and shielding.

Applying scripting techniques (TCL, Python, etc.) to automate layout processes and improve workflow efficiency.

Ensuring designs meet ESD constraints, mitigate latch-up risks, and optimize for reliability issues such as EM and IR drop.

Designing custom digital logic cell layouts and associated logic path routing for mixed-signal integration.

Refining layouts to minimize parasitic effects and enhance matching, reliability, and performance.

Delivering high-quality IP that powers next-generation semiconductor products for global customers.

Enabling Synopsys to maintain leadership in advanced technology node design and IP development.

Contributing to the creation of reliable, high-performance silicon chips used in communications.

Driving innovation in analog and mixed-signal layout methodologies and tools.

Enhancing cross-team collaboration and knowledge sharing to accelerate project timelines and improve outcomes.

Ensuring robust design practices that minimize risk and maximize reliability, meeting stringent industry standards.

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What you'll be doing:

You will bring together and understand internal and external customer requirements to improve AI cluster resiliency and design AIOps-based solutions that address these needs. You will develop automated workflows for issue detection and root cause analysis and closely collaborate with operators to debug sophisticated, full-stack AI cluster problems. You'll also deliver compelling technical presentations and lead hands-on demos or training, handle evaluation deployments (POC/POV), and ensure smooth, reliable installations by staying engaged and encouraging throughout the customer journey.

Requirements:

• Bachelor of Science or equivalent experience
• 8+ years of networking experience in enterprise or service provider environments, with strong hands-on expertise in routing and switching
• Proficient in scripting and automation using Python or similar languages, with strong Linux expertise
• Proven experience working directly with customers to resolve issues and ensure success in Systems Engineer or SRE roles
• Exceptional oral, written, and presentation skills for clearly communicating complex technical topics
• Demonstrated ability to collaborate effectively across teams, partnering with operations, engineering, and product development

Nice to have:

• Experience with data center infrastructure and cloud architectures
• Background in network performance monitoring or observability
• Previous experience working at a technological start-up

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until March 13, 2026.

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This role operates at the intersection of digital operations, customer experience, and AI-powered transformation. You will help drive the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Key Responsibilities

• Identify and scope opportunities to utilize AI, machine learning, and automation to optimize digital experience operations and agent support processes.
• Collaborate with product owners to build AI-informed business cases, including ROI modeling for predictive experiences, intelligent routing, and automated troubleshooting.
• Manage AI-enabled dashboards and monitoring systems that surface real-time anomalies, experience dips, and emerging performance trends.
• Partner with CX, analytics, and engineering teams to run A/B tests leveraging AI-generated variants, measuring uplift and customer impact.
• Translate customer and agent insights using AI-powered analytics (e.g., text/sentiment analysis, pattern detection) into actionable recommendations for journey improvements.
• Apply GenAI capabilities to improve team operations, e.g., automated insights summaries, triaging, root cause analysis drafting, and workflow documentation.

Experience & Education Requirements

• Overall experience > 6-8 years, 4+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 4+ years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

• Familiarity with GenAI tools, conversational AI platforms, and AI-assisted productivity solutions.
• Ability to interpret outputs from models using techniques such as anomaly detection, clustering, and predictive scoring.
• Strong understanding of AI ethics, governance, and responsible AI frameworks.
• Comfortable working in environments where AI-driven decision automation informs prioritization and operational strategies.
• Possesses strong technical aptitude. Intermediate knowledge in using analytic tools such as Tableau and Microsoft Excel. Proficient in Microsoft Office including MS Word, Excel, Outlook, PowerPoint.
• Strong verbal communication and listening skills. Strong business acumen, with effective written and verbal communication skills.
• Ability to communicate, influence, and deliver with cross-functional teams and enterprise stakeholders. Ability to manage multiple projects with tight deadlines effectively with cross functional teams.

Software / Tool Skills

• Experience with AI/ML or data intelligence platforms (e.g., Azure ML, AWS SageMaker, Google Vertex AI—basic exposure acceptable).
• Hands-on familiarity with GenAI copilots, prompt engineering concepts, or LLM-based experience analysis tools.
• Experience interpreting insights from NLP, AI-powered text analytics, or conversational AI systems.
• Hands on experience with user Feedback/Data analysis tools – Qualtrics, Fullstory, Mixpanel etc.
• Good proficiency or practical experience of A/B Testing tools.
• Agile tools such as Jira, Rally etc.
• Understanding of Contact center and CMS tools.
• Excel - Intermediate/Advanced. Proficiency in Microsoft 365
• Power BI (Highly Preferred)

Requirements

• Optimization Testing ( A/B Testing )
• Multivariate testing
• Personalization
• Digital Workflow optimization
• Stakeholder collaboration

Benefits

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Pension Plan
8. Paid Time Off
9. Training & Development

Note: Benefits differ based on employee level.

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This role is pivotal in driving innovation through AI and automation, enabling seamless agent and customer experiences, operational efficiency, and data-driven decision-making.

Key Activities

Strategy & Roadmap Development

• Develop and govern the technical architecture roadmap for Distribution, Marketing, and Agency domains.
• Lead architectural design for Salesforce, marketing automation, agency management, and commissions platforms.
• Evaluate emerging technologies, including RPA (Agency services), and intelligent data platforms, to modernize capabilities.

Architectural Design & Governance

• Create reference architectures and reusable patterns for CRM (Salesforce, Microsoft Dynamics 365, etc), MarTech, and agency systems.
• Architect end-to-end solutions that incorporate automated workflows, data integrity, and secure integrations.
• Define modernization strategies for legacy systems (e.g., WINS), ensuring smooth transitions and data consistency.
• Lead governance sessions to ensure alignment with enterprise standards and strategic vision.

Requirements

• +9 Years of experience in a similar role
• Salesforce: Design intelligent solutions for lead management, campaign orchestration, agent productivity, and customer engagement.
• Agency Management & Commissions: Automate agent onboarding, compensation processing, and service workflows using workflow engines.
• Automation: Integrate predictive analytics, chatbots, and intelligent routing to enhance agent and customer experiences.
• Integration: Build unified data flows across Salesforce, agency systems, and enterprise platforms.
• Experience in sales quoting platform/ Policy platform.

Nice to have

• Knowledge of contact center technologies and omnichannel routing
• Marketing Automation: Architect platforms for segmentation, targeting, A/B testing, and real-time analytics.
• Automation using AI tools

Benefits

This position comes with a competitive compensation and benefits package.

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Paid Time Off.
• Training & Development opportunities in partnership with renowned companies.

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Key Activities

Strategy & Roadmap Development

• Develop and govern the technical architecture roadmap for Distribution, Marketing, and Agency domains.
• Lead architectural design for Salesforce, marketing automation, agency management, and commissions platforms.
• Evaluate emerging technologies, including RPA (Agency services), and intelligent data platforms, to modernize capabilities.

Architectural Design & Governance

• Create reference architectures and reusable patterns for CRM (Salesforce, Microsoft Dynamics 365, etc), MarTech, and agency systems.
• Architect end-to-end solutions that incorporate automated workflows, data integrity, and secure integrations.
• Define modernization strategies for legacy systems (e.g., WINS), ensuring smooth transitions and data consistency.
• Lead governance sessions to ensure alignment with enterprise standards and strategic vision.

Requirements

• +9 Years of experience in a similar role
• Salesforce: Design intelligent solutions for lead management, campaign orchestration, agent productivity, and customer engagement.
• Agency Management & Commissions: Automate agent onboarding, compensation processing, and service workflows using workflow engines.
• Automation: Integrate predictive analytics, chatbots, and intelligent routing to enhance agent and customer experiences.
• Integration: Build unified data flows across Salesforce, agency systems, and enterprise platforms.
• Experience in sales quoting platform/ Policy platform.

Benefits

This position comes with a competitive compensation and benefits package, including a competitive salary and performance-based bonuses, comprehensive benefits package, flexible work arrangements, private health insurance, paid time off, and training & development opportunities in partnership with renowned companies.

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Farmers Insurance is seeking a strategic and experienced Lead CRM Architect to lead the transformation of our Distribution, Marketing, and Agency technology ecosystem, including CRM, MarTech, Agency Management, Commissions, and Agency Services platforms. This role is pivotal in driving innovation through AI and automation, enabling seamless agent and customer experiences, operational efficiency, and data-driven decision-making.

Key Activities

Strategy & Roadmap Development

• Develop and govern the technical architecture roadmap for Distribution, Marketing, and Agency domains.
• Lead architectural design for Salesforce, marketing automation, agency management, and commissions platforms.
• Evaluate emerging technologies, including RPA (Agency services), and intelligent data platforms, to modernize capabilities.

Architectural Design & Governance

• Create reference architectures and reusable patterns for CRM (Salesforce, Microsoft Dynamics 365, etc), MarTech, and agency systems.
• Architect end-to-end solutions that incorporate automated workflows, data integrity, and secure integrations.
• Define modernization strategies for legacy systems (e.g., WINS), ensuring smooth transitions and data consistency.
• Lead governance sessions to ensure alignment with enterprise standards and strategic vision.

Requirements

• +9 Years of experience in a similar role
• Salesforce: Design intelligent solutions for lead management, campaign orchestration, agent productivity, and customer engagement.
• Agency Management & Commissions: Automate agent onboarding, compensation processing, and service workflows using workflow engines.
• Automation: Integrate predictive analytics, chatbots, and intelligent routing to enhance agent and customer experiences.
• Integration: Build unified data flows across Salesforce, agency systems, and enterprise platforms.
• Experience in sales quoting platform/ Policy platform.

Nice to have

• Knowledge of contact center technologies and omnichannel routing
• Marketing Automation: Architect platforms for segmentation, targeting, A/B testing, and real-time analytics.
• Automation using AI tools

Benefits

This position comes with a competitive compensation and benefits package.

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture within a globally renowned group.
• Private Health Insurance.
• Paid Time Off.
• Training & Development opportunities in partnership with renowned companies.

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We are seeking a motivated and passionate Network Engineer to join our team. As a Data Center Networking Specialist - Sr Staff, you will be responsible for leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.

What You'll Be Doing:

• Leading the design and implementation of scalable, high-performance network architectures that integrate data center and cloud environments.
• Developing strategy and architecture for DC engineering, influencing standards and technology direction across data centers and clouds.
• Program managing complex cross-functional projects, aligning stakeholders and driving collaboration to achieve strategic goals.
• Owning the end-to-end data center design lifecycle, from blueprinting through day2 operations, and creating repeatable templates for broader team support.
• Implementing automation tools and AI-driven solutions to streamline network operations and improve efficiency.
• Establishing and tracking key performance indicators (KPIs) to measure network efficiency, effectiveness, and driving continuous improvements.
• Mentoring and guiding junior engineers, fostering a culture of knowledge sharing and continuous learning.
• Staying current with industry trends and emerging technologies in data center and cloud networking, evaluating their impact on operations.
• Developing and maintaining comprehensive documentation for network configurations, processes, and procedures.
• Communicating effectively with stakeholders at all levels, conveying complex concepts to both technical and non-technical audiences.

The Impact You Will Have:

• Driving innovation in data center and cloud network architectures, ensuring Synopsys remains at the forefront of technology.
• Enhancing operational efficiency and scalability through automation and AI-driven solutions.
• Shaping the standards and technology direction for global data center initiatives.
• Improving network reliability, security, and performance for mission-critical business applications.
• Fostering a high-performing, collaborative engineering culture through mentorship and leadership.
• Enabling seamless integration of emerging technologies and adapting strategies to evolving business needs.
• Reducing manual intervention and operational risks, supporting robust and resilient infrastructure.
• Ensuring documentation and processes are streamlined, accessible, and actionable for all stakeholders.

What You'll Need:

• BS in Engineering or related field; MS preferred.
• 10+ years of experience in network engineering/data center infrastructure with significant production ownership of large-scale networks.
• Expert-level proficiency in DC and service provider grade protocols: BGP, ISIS, MPLS, Segment Routing, EVPN, VXLAN, QoS, traffic engineering.
• High proficiency with Cisco ACI (Application Centric Infrastructure) solutions, including Multi-Pod/Multi-Site architecture and ACI automation (APIC REST/SDK/Ansible collections).
• Proficiency in Python and Ansible for automation.
• Experience integrating telemetry (gNMI/streaming) and flow analytics (NetFlow/IPFIX/sFlow) with platforms like Elastic/Grafana.
• Demonstrated leadership and mentoring abilities, with successful program management experience.
• Strong organizational skills, capable of managing multiple projects and priorities.
• Good to have: Relevant certifications (e.g., CCNP, CCIE – Data Center, AWS certified solution architect), DC operations experience, strong security mindset, ITIL change/incident familiarity.

Who You Are:

• Self-driven and proactive, consistently finding ways to contribute beyond your charter.
• Excellent communicator, able to convey complex concepts to both technical and non-technical audiences.
• Collaborative team player, inspiring and mentoring others.
• Adaptable and agile, thriving in a fast-paced, evolving environment.
• Innovative thinker, always seeking to improve and future-proof network solutions.
• Organized, detail-oriented, and results-focused.
• Strong leader with a passion for continuous learning and development.

The Team You’ll Be A Part Of:

The Synopsys Network and Datacenter team is responsible for the design, vision, and driving major initiatives for Data Center and Cloud. You’ll be joining a diverse, high-impact group of experts who collaborate across global sites to deliver scalable, secure, and innovative network solutions. The team values knowledge sharing, continuous improvement, and a culture of excellence, empowering each member to make a meaningful impact on Synopsys’ technological landscape.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Your proactive approach and problem-solving abilities make you a trusted advisor for both internal stakeholders and external customers. You are detail-oriented, yet able to see the big picture, ensuring that every design meets rigorous standards for quality, performance, and scalability. You enjoy guiding teams through challenging technical obstacles and are always eager to explore new technologies and methodologies that can enhance product development. Your communication skills are top-notch, enabling you to clearly articulate complex concepts to diverse audiences. You value inclusion and respect, fostering a team culture where every voice is heard and every idea is considered.

Role Details

• Oversee junior engineers and lead the design, implementation, verification, and physical synthesis of NVM controllers for OTP and MTP products at advanced technology nodes.
• Provide digital guidance for new product developments, ensuring robust architecture and innovative solutions.
• Manage the maintenance and enhancement of digital control blocks, chip test systems, circuit models, and design-for-test circuits.
• Participate in all phases of the ASIC design cycle, including architecture definition, modeling, RTL coding, verification, synthesis, and place & routing.
• Deliver technical support to internal teams, application engineers, and customers during product integration phases.
• Collaborate with cross-functional teams to optimize design flows and ensure seamless integration of digital components.
• Drive continuous improvement initiatives and promote best practices in digital design and verification methodologies.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

• Comprehensive medical and healthcare plans that work for you and your family.
• In addition to company holidays, we have ETO and FTO Programs.
• Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.
• Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.
• Save for your future with our retirement plans that vary by region and country.

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Key Responsibilities and Activities:

• Helping to build and define strategies for generating net new qualified sales leads.
• Working with the sales & marketing teams to qualify existing leads from events, webinars, and other marketing activity.
• Develop one-to-many lead nurture campaigns to engage a broad set of customers and get them to take an action leading to adoption of Keywords Player Engagement Services.

Helpshift Core Competencies:

• Strong Team Player + high EQ.
• Customer Obsessed.
• Strong Critical Thinking skills.
• Commercial & Business creativity.
• Process Driven & Execution Oriented.
• Data Driven Mentality.
• Ability to work through Ambiguity.

Requirements:

• 1-3 years of Sales experience selling technology services into Game Industry Customers.
• Familiar with inbound lead qualification processes & lead routing.
• Familiar with outbound one-to-many lead generation campaigns.
• Familiar with standard AI / Tools / Technology to drive automation of processes & improve efficiency.
• High attention to detail and ability to deliver under pressure and to deadlines.
• Superb written and verbal communication skills.
• Willingness to travel as required.
• Must be self-motivated and able to operate in a remote environment.

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The successful candidate will be responsible for follow-the-sun delivery and support of Network services, prompt reaction on all network infrastructure incidents as 2nd line support and cooperation with other infrastructure teams for resolution.

Responsibilities:

• Ensure that all escalated incidents are handled by the team within SLA's.
• Participate in Problem management processes.
• Ensure that our Network Operations are reliable, secure, resilient and scalable to support our growing business.
• On-time delivery of assigned network infrastructure projects.
• Identify opportunities for process improvement and efficiency enhancements.
• Create and maintain technical documentation on all system designs and configurations, troubleshooting procedures.
• Oversee network security measures and identifies potential risks to ensure sufficient mechanisms are in place to protect systems and data.
• Design, deploy, and support LANs, WANs, network appliances, load balancers, routers, switches, and other hardware.

Requirements:

• Bachelor’s degree in a relevant technical field or equivalent experience.
• Strong understanding of IT Infrastructure technologies, standards, and trends.
• Strong technical background with 3+ years’ experience in a Network Administration role delivering network infrastructure systems, security and support.
• Strong technical knowledge of network equipment – switches, routers (Cisco, Dell, HP,) & firewalls.
• Strong technical knowledge of organizing WiFi setups.
• Strong understanding of IPsec VPN setup, site-to-site tunnels, and troubleshooting.
• Understanding of all aspects of design and implementation of corporate networking and systems infrastructure, including MPLS, VPN, network connectivity, Internet access.
• Proficiency with switching and routing protocols such as BGP, OSPF, route maps, Access Control Lists, route redistribution, path selection, and traffic engineering.
• Experience with LAN/WAN/SD-WAN design and architecture.
• Strong understanding of infrastructure change management.
• Strong analytical and problem-solving skills with the ability to identify and resolve complex IT infrastructure issues.
• Work with vendors and service providers to resolve escalated issues - Maintain network documentation, diagrams, and standard operating procedures

Desirable:

• Hands-on experience with firewall configuration, policy management, and troubleshooting.
• Experience with RAS VPN configuration, deployment, and troubleshooting across user devices.
• Experience integrating GlobalProtect with authentication mechanisms such as LDAP, SAML, and MFA.

Benefits:

• Bonus
• Employee Assistance Program
• Meal Voucher
• Welfare

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The role will have primary responsibility for technical decisions and guiding the company-wide AD architecture. This position will have a focus on on-premises directory services and identity management, as well as their cloud-based counterparts, such as Azure Active Directory.

Responsibilities

• Overall responsibility for the company-wide Active Directory infrastructure
• Plan and deploy Active Directory Domain Services inter-forest and intra-forest migrations
• Plan and deploy the extension of active directory to Azure domain services and future-proof the existing environment
• Plan, coordinate and execute any life cycle activities with regard to Active Directory and surrounding systems
• Plan and execute large-scale Active Directory Domain Services, Federation Services, and Certificate Services upgrades
• Assess the sizing and health of acquisition Active Directory deployments in support of consolidation efforts
• Design and deploy various identity management solutions such as Azure Active Directory Premium
• Design and implement solutions for customers based around core Microsoft technologies, such as DFS, DHCP, DNS, File and Print Services, IIS, etc.
• Keep up on emerging technologies and understand how they can add value to existing infrastructures
• Work with regional and infosec teams closely as SME for active directory

Requirements

• Strong Risk & Security awareness
• Strong verbal and written communication skills
• The ability to translate business needs into technical requirements
• Must love documentation. Creating detailed design or migration documents is a regular occurrence
• Expert-level Active Directory Domain Services experience including Azure AD
• Capable of designing and deploying AD Certificate Services and Azure domain services
• Strong scripting skills. PowerShell 3.0+ experience is very strongly preferred
• Must be able to speak about topics such as routing and switching, storage, virtualization, and server hardware as it relates to the above technologies and responsibilities

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As the Manager of Ecosystem Partnerships (Provider Supply), you'll own and execute OpenRouter’s strategy for growing and managing our global network of LLM and inference providers. You will be the company’s first supply-side partnerships hire and will build the foundational programs that ensure OpenRouter has the industry's most comprehensive, reliable, and compliant model ecosystem.

You'll manage relationships with our highest-impact model and infrastructure partners, negotiate commercial and technical agreements, ensure billing and SLA accuracy, enforce data policy compliance, and drive the expansion of new providers and model families. This role is deeply cross-functional—working closely with Product, Engineering, Security, Legal, and Finance to make OpenRouter the platform of choice for providers looking to scale distribution and revenue.

You will shape the future of OpenRouter’s supply ecosystem, directly influencing product quality, reliability, economics, and overall platform competitiveness.

What You'll Do

Grow and Prioritize the Provider Ecosystem

• Develop and own the strategy for sourcing, prioritizing, and onboarding new model providers, inference services, and accelerator-based platforms.

• Evaluate provider technical capabilities, performance characteristics, pricing, and strategic relevance to determine partnership fit.

• Build a high-quality pipeline of emerging model developers, cloud inference platforms, and GPU/ASIC providers to expand OpenRouter’s supply diversity.

Lead Provider Relationship Management

• Manage end-to-end relationships with key providers, including roadmap collaboration, integration planning, pricing reviews, and quarterly business reviews.

• Partner with Engineering and Product to ensure smooth technical integration, metadata accuracy, reliability standards, and go-to-market alignment.

• Advocate for provider needs while balancing platform-wide performance, economics, and compliance considerations.

Drive Provider Data Policy & Security Compliance

• Build scalable compliance programs that ensure providers meet OpenRouter’s data handling standards (no-train/no-retain, ZDR, SOC2/ISO alignment, GDPR, TPRM requirements).

• Establish recurring compliance reviews, attestations, breach escalation pathways, and risk classifications.

• Collaborate with Legal and Security to maintain enforceable data governance across all provider agreements.

Protect Revenue Through Billing Accuracy & SLA Enforcement

• Develop systems to identify billing discrepancies, token miscounts, rate-card inconsistencies, and revenue leakage.

• Partner with Finance to maintain accurate provider rate cards, rev-share structures, and payout workflows.

• Lead enforcement of provider SLAs, including uptime, latency, throughput, and error rate standards—ensuring credits or remedies are applied as required.

• Build repeatable audit processes and dashboards to maintain billing integrity across the provider ecosystem.

Negotiate Strategic Commercial & Technical Agreements

• Lead negotiation of complex provider partnerships involving pricing, consumption economics, data privacy, reliability commitments, and integration requirements.

• Structure agreements that balance mutual value creation while protecting OpenRouter’s reliability, margin, and compliance obligations.

• Build scalable onboarding documentation and processes to reduce friction for future provider integrations.

Cross-Functional Leadership & Ecosystem Strategy

• Collaborate with Product and Engineering to influence provider-facing roadmap decisions, model routing logic, and supply expansion.

• Work with Growth, Support, and Marketing to communicate provider changes, outages, launches, and performance improvements.

• Maintain deep visibility into the AI/ML and inference ecosystem—emerging models, hardware accelerators, competitive pricing dynamics, and market shifts.

Qualifications

• 8+ years in partnerships, business development, or strategic alliances, with 3–5+ years leading supply-side or ecosystem partnerships programs.

• Strong understanding of technical integrations, including API patterns, authentication, routing, data flows, rate limiting, and reliability metrics.

• Expertise in negotiating agreements involving data governance, SLAs, token or usage-based pricing, compliance requirements, and integration commitments.

• Highly analytical—comfortable digging into billing logs, token counts, performance metrics, and error patterns to identify discrepancies or opportunities.

• Strategic thinker with the ability to operate from 0 to 1 while simultaneously managing day-to-day partner execution.

• Excellent communicator capable of influencing senior technical and commercial stakeholders.

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Our Hardware Engineers at Synopsys are responsible for designing and developing cutting-edge semiconductor solutions. They work on intricate tasks such as chip architecture, circuit design, and verification to ensure the efficiency and reliability of semiconductor products. These engineers play a crucial role in advancing technology and enabling innovations in various industries.

Job Description

Category

Engineering

Hire Type

Employee

Job ID

16005

Remote Eligible

No

Date Posted

03/05/2026

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

You Are:

You are an accomplished and forward-thinking engineering professional with a deep passion for the intersection of artificial intelligence and semiconductor design. Your expertise spans RTL-to-GDSII flows, and you have hands-on experience with industry-leading EDA tools, especially those driving the next generation of AI and high-performance compute silicon. You are highly analytical, able to dissect complex design challenges and architect robust, scalable solutions that address both immediate and future technology needs. You thrive in customer-facing roles, translating requirements into actionable methodologies and championing innovation every step of the way.

What You’ll Be Doing:

• Partnering with leading customers to develop and implement advanced AI-driven RTL-to-GDS methodologies using Synopsys EDA tools, IPs, and libraries.

• Creating and optimizing design flows and solutions to meet aggressive PPA (performance, power, area) targets for high-frequency cores, automotive, and high-capacity AI/compute designs.

• Enabling and deploying flows/solutions leveraging Synopsys offerings such as Fusion Compiler, RTL Architect, and AI-based Design Space Optimization engines, utilizing Tcl/Python scripting for automation.

• Collaborating cross-functionally with customers, R&D, and internal teams to drive innovative solution and feature development that anticipates and addresses real-world design challenges.

• Leading and mentoring a team of junior application engineers, providing technical guidance, coaching, and project management support to ensure successful execution of deliverables.

• Delivering technical presentations, application notes, and best practices to both internal and external stakeholders, supporting knowledge-sharing and customer enablement.

The Impact You Will Have:

• Accelerate customer adoption of next-generation AI-driven design methodologies, empowering them to achieve breakthrough silicon results.

• Shape Synopsys’ technology direction by providing valuable field insights and partnering with R&D on new feature development.

• Reduce time-to-market and improve competitiveness for customers through innovative flow optimization and automation.

• Drive Synopsys’ leadership in AI-powered EDA solutions, further differentiating our offerings in a competitive market.

• Elevate the technical capabilities of the application engineering team through mentorship and cross-training.

• Enhance customer satisfaction and loyalty through proactive engagement, expert troubleshooting, and tailored technical support.

What You’ll Need:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field with 5 + years of relevant experience.

• Deep understanding of RTL-to-GDSII flows and hands-on experience with backend P&R tools (Fusion Compiler, ICC2, or similar).

• Expertise in physical synthesis, timing closure, clock tree synthesis (CTS), and routing at advanced technology nodes.

• Proficiency in Tcl and Python scripting for automating EDA workflows and optimizing design methodologies.

• Strong technical account management skills and a proven ability to lead and mentor teams in a high-performance environment.

• Outstanding verbal and written communication, presentation, and customer interaction skills.

Who You Are:

• Collaborative and empathetic leader, skilled at building relationships and enabling the success of others.

• Analytical thinker with a problem-solving mindset and a passion for continuous improvement.

• Adaptable and resilient in the face of evolving customer requirements and technology landscapes.

• Strong organizational skills, able to manage multiple projects and priorities with poise.

• Driven by curiosity and a desire to innovate at the forefront of AI and semiconductor design.

The Team You’ll Be A Part Of:

You’ll join a dynamic and diverse Application Engineering team at Synopsys Bangalore, dedicated to driving customer success and innovation in AI-enabled design automation. The team partners closely with global customers, R&D, and product management to deliver state-of-the-art solutions for the most advanced silicon on the planet. With a culture rooted in collaboration, technical excellence, and mentorship, you’ll have the opportunity to lead, learn, and contribute to the next wave of EDA innovation.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Benefits

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• ### Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• ### Time Away

In addition to company holidays, we have ETO and FTO Programs.

• ### Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ### ESPP

Purchase Synopsys common stock at a 15% discount, with a 24 month look-back.

• ### Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• ### Compensation

Competitive salaries.

\\ Benefits vary by country and region - check with your recruiter to confirm

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You will support the efforts of audio software engineers in developing great tools to author and implement audio assets. You will also contribute to the creation, development, and design of the audio system at an innovative level.

In addition to your technical skills, you will have a passion for race cars, audio production, and gaming/simulation. You will work in a collaborative environment and be part of a talented team building high-quality games.

Responsibilities:

• Develop sonic engine models from processing raw audio data to implementation
• Work closely with game developers on racing titles for various platforms
• Collaborate with simulator engineers, sound designers, and recordists to create sound assets
• Support the efforts of audio software engineers in developing great tools
• Contribute to the creation, development, and design of the audio system
• Work in a collaborative environment and be part of a talented team

Requirements:

• 5+ years professional sound design background
• Experience developing sonic models (static, modulated, granular, and loop-based) in the gaming space
• Proficient skills in using DAW, DSP, and audio plug-ins
• Experience with FMOD Studio or equivalent audio middleware
• Experience mixing different channels of audio to achieve pleasant results
• Experience working to schedules with clear communication
• Use of build tools and test sounds in bench testing apps and developer environments that require optimized system design

Preferred skills:

• Experience working with DSPs (e.g., granular synthesis, convolution reverb, and spatial positioning)
• Ability to learn new DAWs, plugins, or bespoke audio tools
• Expertise in editing audio data, multitrack markups, and making sonic models using Adobe Audition
• Implementation, testing, and perfecting the fidelity of the audio mix
• Some field recording experience
• Experience shipping a game title as a sound designer or technical sound designer
• Knowledge of and experience working with audio formats such as Ambisonics, Binaural, stereo, 32-Bit float, and Mid/Side
• Awareness of Ray tracing or 3D positioning of sound
• Knowledge of audio engineering and sound-related physics
• An interest in motorsports and cars
• A passion for gaming or simulation
• Experience working in a collaborative environment

Benefits and Compensation:

• Competitive pay and benefits
• Health, dental, vision, and life insurance
• 401(k) and discretionary employer match
• Paid time off (vacation, personal, sick, and holidays)
• Opportunity to be part of a talented team building high-quality, immersive games for players worldwide

Location, Working Conditions, and Eligibility:

• This position is a full-time remote within the United States
• Candidates must be legally authorized to work in the United States at the time of application
• We are unable to sponsor visas or work permits for this role

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The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform—from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources—compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need engineers who can navigate these platform differences, build robust abstractions that work across providers, and make smart infrastructure decisions that keep us cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms
• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads
• Optimize inference cost and performance across providers—designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region
• Contribute to inference features that must work consistently across all platforms
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration
• Have strong interest in inference
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work
• Pick up slack, even when it goes outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Strong familiarity with LLM inference optimization, batching, caching, and serving strategies
• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators
• Background designing and building CI/CD systems that automate deployment and validation across cloud environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

As a Staff Software Engineer on our Inference team, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.

Strong candidates may also have experience with

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP, Azure)
• Python or Rust

Representative projects:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research co

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You'll lead the strategy, design, and execution of our QA program across FTE and vendor teams. Early on, you may be hands-on in building frameworks, calibrating reviews, and establishing reporting. As the program scales, you'll build and lead a team responsible for quality reviews, calibration, and performance insights across Support.

You'll work cross-functionally with Support, Learning & Knowledge, Support Operations, Product, and Engineering to ensure quality insights directly drive training, workflow improvements, automation strategy, and product feedback.

Responsibilities

• Build and lead the Support QA program, including evaluation frameworks, scoring models, review workflows, and calibration processes.
• Hire, develop, and manage QA specialists or analysts as the program scales.
• Define quality standards across ticket support, technical troubleshooting, and customer communication.
• Establish QA coverage strategy across FTE and vendor support teams.
• Lead calibration programs to ensure consistent quality standards across reviewers, teams, and regions.
• Partner with Learning & Knowledge to turn QA insights into training, onboarding improvements, and coaching strategies.
• Partner with Support Operations to embed quality signals into dashboards, reporting, and performance frameworks.
• Define and evolve quality standards for AI-assisted support, including agent assist usage, automation handoffs, and AI-generated content quality.
• Utilize Replit to build internal tooling and recommend external tooling when necessary to improve QA workflows and program scalability.
• Define and track key quality metrics (QA trends, CSAT correlation, escalation rate, escalation rate, repeat contact rate, policy adherence) and report insights to Support leadership.

Requirements

• 5+ years in Support Quality, Support Operations, Technical Support, or similar roles in a technology company.
• 2+ years in a people management or team leadership capacity.
• Experience building or significantly evolving a QA program, framework, or evaluation system.
• Strong understanding of customer support workflows, ticket lifecycle, and escalation patterns.
• Experience working with support platforms (Zendesk or similar) and QA tooling or review workflows.
• Strong analytical mindset with experience using data to identify trends and drive performance improvements.
• Experience working cross-functionally with Support leadership, Operations, and Enablement or Training teams.
• Strong written and verbal communication skills, including delivering structured performance feedback and coaching guidance.
• Experience working in fast-moving product environments with frequent releases and evolving workflows.
• Hands-on experience using AI tools (e.g., Replit, Claude, ChatGPT, or similar) to improve workflows, knowledge creation, training, or support operations.
• Experience managing or influencing quality across vendor or BPO support environments.

Nice to Have

• Experience designing QA programs for technical or developer-focused support environments.
• Experience building QA programs that support both human and AI-assisted support interactions.
• Experience partnering on support automation, routing, or workflow design decisions.
• Experience building QA dashboards, reporting frameworks, or performance analytics models.
• Background in coaching, enablement, or performance improvement programs.
• Experience scaling QA programs in high-growth or early-stage environments.

Bonus Points

• Has used Replit and built internal tooling
• Experience working with IDEs, terminals, or other common developer tools.

What We Value

• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Product Engagement Specialist

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Role

As a Product Engagement Specialist on the User Operations team, you will help shepherd smooth, successful product launches across internal support teams and external partners. You will coordinate readiness efforts end-to-end while also building scalable systems that increase the efficacy of that end-to-end process. This is a high horsepower role spanning launch execution, enablement, and systems building—focused on durable mechanisms, rather than brute forcing your way into a successful launch.

This role is based in San Francisco, CA (hybrid: 3 days in office) and offers relocation assistance.

In this role, you will:

• Coordinate product launches across both internal and external teams to ensure seamless execution and support readiness.

• Build the mechanisms that make launches and feedback scalable; automation, playbooks, operating procedures, taxonomies, dashboards, and routing so your impact compounds over time instead of resetting every launch.

• Prototype and implement automation (scripts, queries, dashboards, low-code tools, and LLM-enabled workflows) to replace manual launch and feedback processes.

• Develop scalable feedback loops that ingest signals from support channels and partners, normalize them into durable categories/severity, and route insights to Product and Engineering owners.

• Identify launch risks early and drive mitigation plans that protect customer experience and service levels.

• Collaborate cross-functionally with Product, Engineering, Marketing, Legal/Policy, and Operations to align on launch goals, timelines, and readiness metrics.

• Report on readiness and feedback loop performance, including key insights, trends, and prioritized recommendations.

You might thrive in this role if you:

• Have experience coordinating product launches or operational rollouts, especially adjacent to customer support teams and/or external partners.

• Have shipped tooling or automations that reduced manual work and scaled beyond a single team (workflows, dashboards, scripted automation, lightweight pipelines).

• Are technically fluent and comfortable prototyping with data and with new tools.

• Have a strong customer advocacy mindset and can translate user pain into crisp, engineering-ready problem statements.

• Are highly organized, can manage multiple workstreams, and thrive in fast-paced environments with shifting priorities.

• Communicate clearly across technical and non-technical audiences, and drive alignment without relying on heavy process.

• Take ownership from an ambiguous problem through implementation and measurable outcomes.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $260K – $288K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.

In pursuit of this mission, our Enterprise Platform team is responsible for enabling our Sales teams as they help customers deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Customer Success, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.

About the role

Our GTM team exists to help customers understand the transformational potential of OpenAI’s models, and we believe our own systems should reflect that same intelligence. We’re looking for a Salesforce Engineer to partner with Growth, Marketing, and Sales to build systems that power customer engagement, lifecycle activation, and pipeline creation—supported by strong data enrichment and orchestration across the GTM stack.

In this role, you'll:

• Build Lead-to-Opportunity solutions in Salesforce: Develop user experiences, automations, and data enrichment workflows that help capture, qualify, and route inbound and outbound demand efficiently—ensuring leads are enriched with accurate firmographic, technographic, and behavioral data and progressed through early pipeline stages with strong governance.

• Engineer integrations across the top-of-funnel stack: Connect Salesforce with marketing automation platforms, enrichment providers, sales engagement tools, routing engines, and event-driven data sources—supporting the orchestration of customer and account data across multiple upstream and downstream systems to enable accurate lead management and timely Marketing-to-Sales handoff.

• Test, troubleshoot, and document: Resolve production issues impacting lead capture, routing, enrichment, and sales engagement workflows while maintaining clear documentation aligned with scalable intake, change management, and deployment best practices for data movement across GTM systems.

You might thrive in this role if you have:

• Advanced Salesforce development (Apex, async patterns, APIs) and data model expertise across opportunity, quote, order, and billing domains.

• Proven experience designing and implementing robust integrations between Salesforce and external systems.

• Proven ability to build, test, document, and deploy scoped solutions using SDLC best practices.

• Strong cross-functional communication skills and a track record of partnering with GTM, Finance, and Operations teams to deliver complex requirements.

• Salesforce certifications (Platform Developer I/II, Application Architect) or prior experience in AI-driven or high-growth SaaS businesses.

Nice to Have

• Familiarity with lead management and sales engagement concepts including inbound lifecycle orchestration, outbound sequencing, enrichment-driven qualification, lead scoring and routing logic, and data reconciliation across marketing automation, sales engagement, and CRM systems to support accurate pipeline creation.

• Software development experience outside Salesforce.

• DevOps management.

• Salesforce Experience Cloud.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Finance

Compensation

• $185K – $275K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Procurement organization enables our mission by ensuring every dollar is spent responsibly, compliantly, and efficiently. As a key part of this function, the Accounts Payable (AP) team partners closely with Procurement Operations, Accounting, Finance, and business stakeholders to deliver a seamless, scalable payment experience.

About the Role

You’ll own AP strategy and jump into day-to-day execution (a true player–coach). Expect to set the roadmap, lead people and partners, act as the primary escalation point, and also personally clear complex exceptions, process work during spikes, and close the books alongside the team. You’ll also partner with hardware and operations stakeholders to define and launch asset management and receiving processes that enable 3-way match—including building where these processes don’t yet exist.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• End-to-end ownership (Indirect & Direct): intake, 2/3-way match, exception handling, disbursements, vendor inquiries, and close activities.

• Escalation lead: act as the primary escalation point; partner closely with the hiring manager and Accounting to rapidly resolve complex exceptions, payment holds, and close blockers.

• Stand up Direct foundations: partner with hardware and operations stakeholders to define and launch asset management and receiving processes required for 3-way match—including building where processes don’t yet exist.

• Scale for growth: improve cycle time, first-pass yield, and on-time payment; strengthen PO discipline and receiving alignment; drive root-cause reduction of top exceptions.

• Controls & compliance: maintain SOX-aligned approvals and documentation; ensure segregation of duties; lead internal/external audit requests and remediation.

• Automation & design: design and implement ERP/AP workflow, OCR/approvals, and integration hygiene to reduce manual touchpoints; partner with Procurement and Accounting on data quality.

• Vendor experience: enable self-service where possible; resolve escalations (price/qty/tax mismatches, credits, banking); negotiate operational terms with Finance/Procurement partners.

• People & partners: manage, mentor, and develop AP staff; oversee BPO/offshore capacity with clear SLAs/KPIs and a continuous-improvement cadence.

• Reporting & comms: own AP dashboards and narratives—aging, cycle time, exceptions, payment forecast, cash needs, and risk themes; communicate progress to leadership.

You might thrive in this role if you:

• Bring 8+ years of experience in Accounts Payable or Accounting, including 3+ years leading teams or programs across both Indirect and Direct spend types.

• Have thrived in high-growth, scaling environments, balancing long-term process design with hands-on execution.

• Offer deep technical proficiency in 2-/3-way match, PO discipline, tax handling (sales/use/VAT), and month-end close (accruals, reconciliations).

• Have designed and automated AP workflows, leveraging ERP/AP automation, OCR, approval routing, and RPA—and are willing to get hands-on during volume spikes.

• Maintain a strong controls mindset aligned to SOX, and can confidently partner with Accounting, Procurement, FP&A, and Supply Chain.

• Have hands-on experience with tools like Oracle Fusion, Zip, Navan, VNDLY, Brightflag, Jira, or similar enterprise platforms—especially in integrated environments.

• Have proven experience across Indirect and Direct spend, ideally in high-growth, scaling environments—you’re comfortable building for the future while handling the demands of today.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits humanity. It is a leading player in the field of AI.

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Datacenter Networking Technician, AI Compute Deployment - Stargate

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Scaling

Compensation

• $86.4K – $228K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team:

OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. Our Stargate program develops and deploys massive, state-of-the-art data center campuses in partnership with industry leaders today—and through future OpenAI infrastructure projects tomorrow. We design for scale, speed, and reliability, and we need experienced technicians who can translate network blueprints into physical reality.

About the Role:

We are seeking a Senior Data Center Networking Technician who thrives in fast-moving build environments and is eager to roll up their sleeves during active datacenter deployments.

Your first assignment will focus on the physical bring-up of network infrastructure at a large partner-operated campus, collaborating with partner teams and their delivery vendors to achieve agreed performance and reliability targets. As that campus reaches steady state, you will transition to lead network deployment for future OpenAI data center projects, defining standards and guiding implementation across multiple locations.

_Candidates must be able to sit onsite in Abilene, Texas 5 days per week_

In this role you will:

• Serve as OpenAI’s technical lead technician during the current campus build, partnering with internal engineers and external contractors on design reviews, installation plans, and acceptance criteria.

• Spend significant time on the data-center floor performing inspections, assisting with cable routing/termination when needed, conducting fiber testing (OTDR, power levels, continuity), and resolving installation challenges in real time.

• Troubleshoot and optimize cabling routes, patching, and equipment turn-up to ensure clean, reliable handoff to network operations.

• Contribute to design discussions and peer reviews for structured cabling and physical network layouts, providing practical field feedback to engineering teams.

• Develop repeatable engineering standards, as-built documentation, and deployment playbooks to accelerate future OpenAI campuses

• Transition to hands-on design and deployment leadership for upcoming OpenAI data center expansions, owning network physical-layer deployment from design through commissioning.

You might thrive in this role if you:

• Have 7+ years of experience in large-scale datacenter network deployment, structured cabling, or physical-layer installation.

• Possess deep knowledge of fiber/copper plant design, cabling standards, and hyperscale network best practices.

• Excel in field work while applying seasoned technical judgment to solve complex installation and testing issues.

• Adapt quickly to changing build conditions and enjoy learning emerging networking technologies.

• Communicate clearly with construction, engineering, and operations teams to drive projects to completion.

• Are willing to be based at a partner campus during the initial build phase and to travel to future OpenAI data center projects.

Preferred Skills:

• Exposure to automation tools (Ansible, SaltStack) or scripting (Python, Shell) for configuration or documentation.

• Experience with hyperscale Clos fabrics or large-scale network design.

• Familiarity with routing and switching concepts (BGP, OSPF, EVPN/VXLAN) and basic Linux/network troubleshooting.

• Industry certifications such as BICSI, CCNA/CCNP, or equivalent.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we are building a team of talented individuals who share our values and are passionate about making a positive impact on the world.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Scaling

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Role

The Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.

Responsibilities

• Design and build systems to manage both cloud and bare-metal fleets at scale.

• Develop tools that integrate low-level hardware metrics with high-level job scheduling and cluster management algorithms.

• Leverage LLMs to coordinate vendor operations and optimize infrastructure workflows.

• Automate infrastructure processes, reducing repetitive toil and improving system reliability.

• Collaborate with hardware, infrastructure, and research teams to ensure seamless integration across the stack.

• Continuously improve tools, automation, processes, and documentation to enhance operational efficiency.

You might thrive in this role if you:

• Have strong software engineering skills with experience in large-scale infrastructure environments.

• Possess broad knowledge of cluster-level systems (e.g., Kubernetes, CI/CD pipelines, Terraform, cloud providers).

• Have deep expertise in server-level systems (e.g., systems, containerization, Chef, Linux kernels, firmware management, host routing).

• Are passionate about optimizing the performance and reliability of large compute fleets.

• Thrive in dynamic environments and are eager to solve complex infrastructure challenges.

• Value automation, efficiency, and continuous improvement in everything you build.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

Compensation

• $293K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Role

We’re hiring a Data Scientist to support our Marketing Innovation pod, a cross-functional team building the internal tools and agentic systems that fundamentally change how we do marketing and serve customers.

We build product-like systems that:

• Deliver high-touch, consultative experiences to millions of SMB customers through agentic lifecycle and sales experiences

• Adapt messaging, creative, and outreach using real-time behavioral signals

• Power intelligent routing, targeting, and engagement decisions at scale, with minimal human-in-the-loop

In this role, you’ll be embedded with Product and Engineering to ensure these systems drive measurable business outcomes.

What You’ll Do

• Define success metrics for agentic marketing systems (e.g., incremental pipeline generated, conversion lift, rep hours saved), including leading indicators that enable weekly iteration.

• Design measurement and experimentation frameworks for always-on systems across lifecycle automation, creative generation, targeting, and routing — using holdouts, staged rollouts, and quasi-experimental methods when needed.

• Partner with PMs and engineers to instrument, evaluate, and monitor launches so every meaningful release has observability and a credible read on incremental value.

• Translate behavioral and model-driven signals into decisions: what to scale, where to intervene, and how to allocate human and compute attention across segments.

• Build repeatable decision loops (pre-launch criteria → post-launch read → next action) that convert analysis into shipped changes.

What We’re Looking For

• 10+ years in a quantitative role (e.g., Data Science, Decision Science), ideally at a product-led company supporting B2B growth, with exposure to SMB or scaled self-serve motions.

• Deep grounding in experimentation, causal inference, and applied statistics, with experience designing and interpreting tests in real-world, always-on environments.

• Strong technical fluency in SQL and Python, including working directly with messy, incomplete behavioral data to quantify impact.

• Proven track record of translating results into shipped decisions (product, lifecycle, targeting, routing).

• Strong business judgment and a bias toward action: able to scope ambiguous problems, define success, and move quickly from insight to strategy.

• Excellent communicator and partner to PMs/Engineers; comfortable influencing stakeholders and presenting recommendations to senior leadership.

Nice to Have

• Familiarity with large language models and AI-assisted operations platforms

• Experience working on operational automation and decision systems (routing, prioritization, optimization)

• Experience operating in early-stage or rapidly evolving environments, including building measurement and experimentation frameworks from scratch.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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We are hiring Front End Software Engineers to build best-in-class product experiences across ChatGPT. You'll work on high-impact user flows, UI architecture, and performance—shipping features that make advanced AI feel simple, responsive, and delightful.

Responsibilities

• Build and ship high-quality product experiences across web surfaces.
• Partner with design and product to translate ideas into polished, accessible UI.
• Own frontend architecture decisions—component systems, state management, routing, and client-side performance.
• Improve reliability, observability, and quality through testing, monitoring, and tooling.
• Collaborate closely with backend and data teams to integrate APIs and deliver end-to-end features.
• Contribute to long-term technical direction and participate in design/architecture reviews.

You Might Thrive Here If You:

• Have strong frontend experience with modern web frameworks (e.g., React, TypeScript) and building production UI at scale.
• Care deeply about performance, accessibility, and craft—and you sweat the details without losing speed.
• Enjoy working across the stack and partnering tightly with design and product.
• Are energized by ambiguity and moving quickly while maintaining a high quality bar.

Location

We are open to hiring in San Francisco, New York, and Seattle.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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What you'll do

• Creating and optimizing design flows and solutions to meet aggressive PPA targets for high-frequency cores, automotive, and high-capacity AI/compute designs.
• Collaborating cross-functionally with customers, R&D, and internal teams to drive innovative solution and feature development that anticipates and addresses real-world design challenges.

What you need

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field with 5+ years of relevant experience.
• Deep understanding of RTL-to-GDSII flows and hands-on experience with backend P&R tools (Fusion Compiler, ICC2, or similar).
• Expertise in physical synthesis, timing closure, clock tree synthesis (CTS), and routing at advanced technology nodes.
• Proficiency in Tcl and Python scripting for automating EDA workflows and optimizing design methodologies.
• Strong understanding of ASIC design flow, VLSI, and CAD development.

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What you'll do

• Partnering with leading customers to develop and implement advanced AI-driven RTL-to-GDS methodologies using Synopsys EDA tools, IPs, and libraries.
• Creating and optimizing design flows and solutions to meet aggressive PPA (performance, power, area) targets for high-frequency cores, automotive, and high-capacity AI/compute designs.

What you need

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field with 9+ years of relevant experience.
• Deep understanding of RTL-to-GDSII flows and hands-on experience with backend P&R tools (Fusion Compiler, ICC2, or similar).
• Expertise in physical synthesis, timing closure, clock tree synthesis (CTS), and routing at advanced technology nodes (like 2nm/3nm/5nm etc).
• Proficiency in Tcl and Python scripting for automating EDA workflows and optimizing design methodologies.
• Strong technical account management skills and a proven ability to lead and mentor teams in a high-performance environment.
• Outstanding verbal and written communication, presentation, and customer interaction skills.

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What you'll do

• Designing and implementing custom analog layout for high-speed SERDES blocks, including TX, RX, and PLLs, in advanced technology nodes.
• Developing floor plans, optimizing power distribution networks, and executing signal routing strategies with a focus on EMIR, parasitic minimization, and yield improvement.

What you need

• 5+ years of hands-on experience in custom analog layout, with a focus on High-Speed SERDES (TX/RX/PLL) in deep submicron technologies.
• Proficiency in floor planning, power grid design, signal routing, and parasitic optimization.
• Expertise in industry-standard EDA tools for layout and verification (e.g., Cadence Virtuoso, Mentor Calibre, Synopsys IC Compiler).
• Strong understanding of EMIR, DRC, LVS, ERC, ANT, ESD, DFM, and PERC verification methodologies.

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What you'll do

• Designing, developing, debugging, and optimizing large-scale software programs, increasingly leveraging AI-assisted coding workflows.
• Developing core algorithms for global placement, detailed placement, global routing, detailed routing, and timing optimization.
• Improving product usability, robustness, and user experience, ensuring high-quality engineering workflows.
• Engineering runtime-efficient software to accelerate the overall digital implementation (DI) flow.
• Designing algorithms and data structures optimized for runtime performance and memory footprint.
• Collaborating closely with cross-functional teams to ensure seamless integration of new capabilities across Fusion Compiler.

What you need

• A degree in Electrical Engineering or Computer Science.
• Proficiency in C/C++ programming.
• Experience with place-and-route tool development (a plus).
• Strong background in data structures and algorithms.
• Experience in EDA tool development.

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What you'll do

This role is responsible for designing, developing, and maintaining high-performance EDA software programs used in semiconductor design and verification.

• Designing, developing, and maintaining high-performance EDA software programs used in semiconductor design and verification.
• Troubleshooting and debugging complex software issues related to partitioning, legalization, and routing algorithms.

What you need

• Bachelor’s degree with 5+ years, or Master’s degree with 3+ years of relevant experience in EDA or the semiconductor industry.
• Strong proficiency in C++ and C++11, with deep understanding of object-oriented programming and design patterns.
• Proven experience with algorithm development, particularly in partitioning, routing, or similar domains.

Why this matters

Drive the advancement of cutting-edge EDA tools that enable next-generation semiconductor designs.

What You’ll Be Doing

• Designing, developing, and maintaining high-performance EDA software programs used in semiconductor design and verification.
• Troubleshooting and debugging complex software issues related to partitioning, legalization, and routing algorithms.
• Collaborating with cross-functional teams and global stakeholders to define requirements and deliver robust solutions.
• Developing and extending APIs to support integration with various tool flows and customer environments.
• Working closely with end-users and internal partners to diagnose issues, gather feedback, and enhance tool usability.
• Utilizing scripting languages (Python, Bash, TCL) to automate tasks and improve development workflows.

The Impact You Will Have

• Drive the advancement of cutting-edge EDA tools that enable next-generation semiconductor designs.
• Enhance the performance, efficiency, and accuracy of partitioning and legalization processes in chip design flows.
• Empower semiconductor companies worldwide to accelerate their design cycles and deliver innovative products to market faster.
• Contribute to the global reputation of Synopsys as the leader in EDA software and IP solutions.
• Mentor and collaborate with engineers across regions, fostering a culture of knowledge sharing and continuous improvement.
• Shape the direction of tool development by incorporating customer feedback and industry best practices.

What You’ll Need

• Bachelor’s degree with 5+ years, or Master’s degree with 3+ years of relevant experience in EDA or the semiconductor industry.
• Strong proficiency in C++ and C++11, with deep understanding of object-oriented programming and design patterns.
• Proven experience with algorithm development, particularly in partitioning, routing, or similar domains.
• Hands-on expertise in multi-threaded and distributed software development.
• Familiarity with API-based development and scripting languages such as Bash, Python, or TCL.

Who You Are

• Analytical thinker with a passion for solving complex technical challenges.
• Excellent communicator, able to convey technical information clearly across diverse teams and cultures.
• Collaborative team player who thrives in a global, cross-functional environment.
• Self-motivated, proactive, and adaptable to changing project needs.
• Detail-oriented and committed to delivering high-quality, reliable software solutions.

The Team You’ll Be A Part Of

You’ll join a R&D team at Synopsys Korea, working alongside experts in EDA software development, algorithm research, and semiconductor design.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs.

Awards

We’re proud to receive several recognitions, including being named one of the Best Places to Work by Fortune Magazine and one of the Top 100 Most Innovative Companies by Fast Company.

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What you'll do

• Very strong knowledge of TCP/IP networking and communication protocols
• Very strong experience with routing and switching - BGP, OSPF, STP, HSRP, etc

What you need

• Strong background on firewalls and other security equipment
• Strong experience with scripting languages and automation

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