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 Forward Deployed Engineer, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform.

Responsibilities

Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.

Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.

Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.

Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.

Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.

Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.

Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.

Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).

On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.

Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain “five nines” uptime.

Active Practitioner: You are currently in the IDE. You have a “ship-first” mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.

Full-Stack Architectural Depth: Broad technical fluency across the entire stack,from frontend performance and backend logic to database optimization and distributed infrastructure.

AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.

Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the “big picture” without losing sight of the implementation details.

Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.

High Agency & Navigating Ambiguity: You are a self-starter who thrives in “zero-to-one” environments. You don’t wait for a ticket; you identify the problem and own the solution from end-to-end.

Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.

Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.

A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

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!

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $185,000 - $254,000 Required Skills:

• Proven Engineering Pedigree
• Production Ownership & Operational Maturity
• Active Practitioner
• Full-Stack Architectural Depth
• AI-Native Development
• Systems Design & Strategic Thinking
• Cloud Ecosystem Fluency
• High Agency & Navigating Ambiguity
• Executive Presence

Preferred Skills:

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platformових

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As a Power & Resource Efficiency Engineer, you'll sit at the intersection of IT and facilities , building the systems, models, and control loops that optimize how we allocate and consume power, cooling, and physical capacity across our TPU/GPU fleet.

You'll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.

Responsibilities

• Build models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.

• Design IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.

• Build and operate load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.

• Partner with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.

What We're Looking For

• Deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis.

• Proficiency in statistical modeling and simulation for infrastructure capacity or power utilization.

• Familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems. Experience building software that bridges IT and OT.

• Exposure to accelerator deployments and their power management interfaces strongly preferred.

• Demand response, grid interaction, or behind-the-meter generation experience is a plus.

• Ability to translate between infrastructure engineering, software teams, and external partners.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Power Systems, Controls Engineering, or a related field.

• 5+ years of experience in data center infrastructure or facility engineering.

• Demonstrated experience with data center power distribution and cooling system architectures.

• Experience building or operating software-based power management, load scheduling, or control systems.

• Proficiency in Python or similar languages for statistical modeling, simulation, or automation of data center infrastructure optimizations.

• Familiarity with SCADA, BMS, EPMS, or industrial control systems and associated protocols (Modbus, BACnet, SNMP).

• Track record of cross-functional collaboration across hardware, software, and facilities teams.

Preferred Qualifications

• Master's or PhD in Controls, Power Systems, or related discipline and 3+ years of experience in data center infrastructure or facility engineering.

• Experience with accelerator-class deployments and their power management interfaces.

• Background in control theory, dynamical systems, or cyber-physical systems design.

• Experience with energy storage, microgrid integration, demand response, or behind-the-meter generation.

• Familiarity with reliability engineering methods.

• Experience with SLA development, availability modeling, or service credit frameworks.

• Exposure to ML/optimization techniques applied to infrastructure or energy systems.

Salary

The annual compensation range for this role is $320,000-$405,000 USD.

Benefits

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 our team.

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This is a hybrid role working 3 days per week from our Aveiro office. You will report to the Group Product Manager on the Acuity Scheduling team.

Responsibilities

• Product Ownership: Act as the primary product owner for your team, setting the roadmap and priorities based on technical feasibility, user impact, and business goals.
• Technical Strategy & Roadmap: Collaborate with engineers to define a scalable technical strategy that aligns with product goals, focusing on data architecture, systems design, and service-based solutions.
• Cross-functional Collaboration: Partner with engineering, data science, and UX teams to understand requirements, manage trade-offs, and deliver solutions that balance speed and scalability.
• Cross-organization Collaboration: Work directly with Squarespace Identity and Security teams to develop and realise a shared vision of a singular identity and authentication system.
• Stakeholder Communication: Translate technical architecture and system requirements into clear, actionable items for stakeholders across the company, including senior leadership and non-technical teams.
• Quality, Security & Performance Optimisation: Focus on the system's stability, reliability, and scalability by working closely with the engineering team on continuous improvement, platform security and technical debt management.
• Architecture Oversight: Guide architectural decisions to ensure optimal security, data flow, storage, and access within our product ecosystem. Advocate for sustainable choices in a service-oriented approach to component-based architecture.

Requirements

• Experience: 4-6 years in product management or a technical role with product ownership, preferably within a data-driven environment; ideally in an identity-centric role.
• Technical Expertise: Strong background as the technical product lead on teams owning data architecture, systems design, and service-based architecture (e.g., microservices), with the ability to engage deeply in technical discussions and decisions.
• Systems Thinking: Proven experience in end-to-end system thinking and design, including a strong grasp of component-based architectures, data storage options, and integration layers.
• Data Architecture: Hands-on experience with data modeling, database design, and data warehousing principles, including familiarity with large data model improvement initiatives.
• APIs & Integration: Understanding of RESTful API design, OAuth, identity federation, and integration patterns to ensure seamless interoperability between services and systems.
• Analytical Mindset: Proficiency in using data to inform decisions autonomously, including experience with data analysis and product analytics tools.
• Communication Skills: Ability to communicate complex technical concepts to both technical and non-technical audiences, bridging the gap between product vision and technical execution.
• Agile Experience: Familiarity with Agile methodologies, including backlog management, sprint planning, and cross-functional team collaboration.
• Project Management: Familiarity with project management tools like Jira, Asana, or similar.

Nice to Have

• Technical Transformation: Experience leading teams and/or organisations from a monolithic architecture to a service-oriented one.
• Identity Experience: High-level understanding of and experience with core user registration flows and OAuth as it pertains to user identity needs.
• Technical Documentation: Experience documenting technical data architecture, service flows, and system dependencies to ensure alignment and knowledge-sharing within the team

Benefits & Perks

• Health insurance with 100% covered premiums for you, your spouse or partner, and dependent children, including medical, dental, and vision
• Life and Disability Insurance
• Pension benefits with employer match
• Fertility and adoption benefits
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Statutory paid time off and all statutory leaves, as required
• Meal Allowance and Flex Benefits Account
• Employee donation match to community organisations
• In the easily accessible city centre of Aveiro
• 7 Global Employee Resource Groups (ERGs)

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Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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We are looking for software engineers to join our Platform organisation. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.

Responsibilities

• Architect and optimise the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines.
• Partner closely with product teams to understand their development workflow and eliminate friction points.
• Work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't.

Platforms

• Platform Acceleration: We work on maximising the developer productivity of product engineers at Anthropic.
• Service Infra: We build and maintain the core infrastructure that powers Anthropic's engineering organisation, from service mesh and observability systems to deployment pipelines and shared libraries.
• Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers.
• Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite.
• Connectivity: Our mission is to make Claude the most connected AI.
• API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale.
• Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads.

Requirements

• Have a minimum of 5 years of practical experience building backend product or platform systems,distributed systems, cloud-native products, developer tools, or external developer facing products.
• Have strong fundamentals in service-oriented architectures, networking, and systems design.
• Are proficient in Python, Go, Rust, or similar systems languages.
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking.

Benefits

• Annual compensation range: $320,000-\$320,000 USD.
• Visa sponsorship available.
• Flexible work arrangements, including remote work options.

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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 Forward Deployed Engineer, you will be embedded within one of Cloudflare's most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare's platform.

Responsibilities

Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer's engineering organization, operating as a trusted extension of their team.

Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.

Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.

Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.

Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer's tech stack.

Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.

Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare's Product and Engineering teams to influence the developer platform roadmap.

Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).

On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.

Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain 'five nines' uptime.

Active Practitioner: You are currently in the IDE. You have a 'ship-first' mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.

Full-Stack Architectural Depth: Broad technical fluency across the entire stack,from frontend performance and backend logic to database optimization and distributed infrastructure.

AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.

Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the 'big picture' without losing sight of the implementation details.

Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.

High Agency & Navigating Ambiguity: You are a self-starter who thrives in 'zero-to-one' environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.

Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.

Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner's codebase.

A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

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

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Key responsibilities include:

• Driving cross-team technical strategy and alignment for Stripe Scale and future bundles,
• Being the primary technical point of contact for partner teams,
• Leading the design of complex, multi-system integrations,
• Translating ambiguous business requirements into clear technical plans,
• Driving decision-making through influence, not authority,
• Ensuring operational excellence by establishing strong patterns for testing, incident response, and billing accuracy.

Minimum requirements include:

• 10+ years of professional software development experience,
• Demonstrated excellence in cross-team collaboration and stakeholder management,
• Exceptional communication skills,
• Experience navigating organizational complexity,
• Strong systems design experience,
• Experience influencing company or org strategy at the intersection of business needs and technology.

Preferred qualifications include:

• Prior experience in financial technology,
• Experience with internal dogfooding architectures.

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We are looking for software engineers to join our Platform organisation. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale.

Responsibilities

• Architect and optimise the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines.
• Partner closely with product teams to understand their development workflow and eliminate friction points.
• Work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't.

Platform Acceleration

We work on maximising the developer productivity of product engineers at Anthropic. You'll help define performance quality and standard for the company, power the next gen of LLM-first products, and redefine best-in-class developer experience.

Service Infra

We build and maintain the core infrastructure that powers Anthropic's engineering organisation, from service mesh and observability systems to deployment pipelines and shared libraries.

Multicloud

We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.

Auth & Identity

We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers.

Connectivity

Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated.

API Distributability

The Claude API today is a rapidly growing platform serving developers and enterprises at scale,but reaching the next tier of enterprise customers requires transforming how and where we deploy it.

Platform Intelligence

We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows.

Requirements

• A minimum of 5 years of practical experience building backend product or platform systems,distributed systems, cloud-native products, developer tools, or external developer facing products.
• Strong fundamentals in service-oriented architectures, networking, and systems design.
• Proficiency in Python, Go, Rust, or similar systems languages.
• Experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking.
• Take full ownership of your work,from design through deployment and operations.
• Can navigate ambiguity and make sound technical decisions independently,

Benefits

• Annual compensation range: $320,000-\$320,000 USD
• 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.
• Visa sponsorship: We do sponsor visas!

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As a Software Engineer focused on Solutions, you'll work directly with our most strategic customers to help them design scalable systems, optimize performance, and push the boundaries of what’s possible in blockchain infrastructure.

You’ll write code to help users unlock the full potential of our stack, help top-tier teams design, scale, and optimize their use of Alchemy’s infrastructure, and deeply understand customer goals and proactively help them onboard, integrate, and ship powerful products on top of our infrastructure.

You’ll be the voice of our developer community, translating their needs into product insights and roadmap priorities, and act as the technical point of contact for strategic accounts, navigating technical blockers, future planning, and success metrics.

We’re looking for a stellar communicator who can translate technical concepts for both builders and execs, with a strong foundation in systems design, APIs, and distributed architecture, and experience working directly with customers, ideally in B2B SaaS or infra.

This role operates at the intersection of product, engineering, and real-world adoption, shaping how top-tier crypto companies bring products to life, and defining the customer experience for Web3’s infrastructure layer.

Benefits and perks include medical, dental, and vision coverage, gym reimbursement, home office build-out budget, in-office group meals, wellbeing and mental health perks, learning and development stipend, company-sponsored conferences and events, HSA and FSA plans, and fertility benefits.

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We are looking for a Staff Software Engineer, Security to join our Security Engineering group. As a Staff Software Engineer, Security, you will act as a liaison between the Security org and the engineering org to build technical leverage and influence the security roadmap and direction.

Responsibilities ---------------

• Act as a liaison between the engineering and security org to develop innovative requirements for the security roadmap.
• Evangelize security best practices across the engineering org.
• Research, design, implement and own security oriented frameworks and features with the common goal of protecting Okta’s customers.
• Routinely participate in cross-vertical code reviews with emphasis on Security.
• Break down complex problems into sub-tasks while prototyping rapidly and iteratively contributing to security initiatives using agile practices.
• Coach and mentor junior engineers in the team.

Preferred Qualification and Abilities -----------------------------------

• 7+ years of development experience in designing and implementing software systems in Java, building highly reliable and mission-critical software.
• 3+ years of work experience in designing and implementing security solutions for applications and distributed systems.
• Work experience and excellent understanding in mitigating OWASP Top 10 attacks on applications, Application Security, Cryptography, Authentication, Authorization using Role-Based and Attribute-Based access controls.
• Strong understanding of concepts such as Test-Driven development, Secure SDLC, Secure code reviews and the ability to identify and mitigate threat vectors and vulnerabilities in code and infrastructure.
• Good understanding and experience in using cloud service providers such as AWS and GCP.
• Developing and maintaining technical documentation such as cookbooks, design and architecture docs.
• Troubleshooting and fixing production issues to ensure reliability, security and performance.
• Work experience in using RDBMS like MySQL, good grasp of concepts such as replication and clustering along with familiarity in data stores such as Redis and Elasticsearch.
• Excellent grasp of software engineering principles coupled with strong written and verbal communication skills.
• B.S or M.S in Computer Science or related fields.

The Okta Experience ------------------ Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community

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You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents, or you will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization.

This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.

You will act as a bridge between technical field teams and product and engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.

The impact you will have:

• Identify and drive impactful product improvements in your domain of expertise

• Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)

• Shape and prioritize a meaningful product roadmap

• Support go-to-market efforts and guide product adoption

• For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform

What we look for:

• 5+ years of experience with a strong, hands-on technical background

• Strong empathy for customers across full spectrum of Data Platform users

• Deep domain expertise in one of the following:

• Transactional databases (OLTP), cloud-native databases, or distributed systems

• Data governance, data catalogs, lineage, and access management

• Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance

• Strong Python and SQL skills

• Experience using AI-assisted development tools

• Experience with systems design and architecture

• Proven ability to work effectively across product, engineering, and technical field teams

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As a senior machine learning engineer, you will play a key role in the end-to-end design and implementation of our product, which is a platform for powering use cases across training and serving of generative AI models. You will work closely with both customers and internal ML researchers to identify key areas of development for our generative AI platform.

Key responsibilities include:

• Designing and building the core platform infrastructure that supports our customer-facing product features
• Ensuring the reliability, security, and scalability of the backend distributed systems that power all aspects of our product
• Translating product requirements into user interfaces and backend distributed system design and owning end-to-end implementation

We look for:

• 4+ years of hands-on programming experience with at least one modern language such as Python, Scala, Go, or C++
• Strong sense of distributed systems design and experience building large-scale systems
• Experience building ML platform systems for applications in the ML model development lifecycle such as data preparation, model training, model evaluation, and model serving
• Direct experience developing ML models is a plus but not required
• Strong sense of end-to-end product ownership as well as intuition for both robust system design and product usability
• Effective communication skills and the ability to articulate complex technical ideas to cross-disciplinary internal and external stakeholders

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.

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As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities:

• Design, build, and operate distributed backend systems that power secure sandboxed execution environments
• Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
• Implement and maintain serverless architectures and container orchestration systems
• Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
• Develop monitoring, alerting, and observability systems to ensure operational excellence
• Participate in on-call rotations and incident response to maintain system reliability
• Contribute to infrastructure automation and tooling that improves developer productivity
• Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you:

• Have 5+ years of experience building and operating backend infrastructure at scale
• Have deep expertise in distributed systems design and implementation
• Have strong operational experience, including debugging complex production issues
• Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
• Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
• Are comfortable working with infrastructure as code and modern DevOps practices
• Have strong programming skills in languages such as Python, Go, or Rust
• Are results-oriented with a bias towards flexibility and impact
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with:

• Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
• Designing and implementing secure multi-tenant systems
• High-performance computing environments or ML infrastructure
• Linux systems internals, including namespaces, cgroups, and seccomp
• Network security and isolation techniques
• Building systems that support research workflows and rapid iteration

The annual compensation range for this role is $300,000-$405,000 USD.

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.

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About Us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.

The Role

In this role, you'll work with a team of elite researchers and engineers to design and implement post-training strategies that enhance Gemini’s capabilities in code security analysis. You will bring contributions to our ML innovation, post-training refinement (SFT/RLHF), advanced evaluation, and data generation to ensure our models can reliably perform safe and powerful code security analysis.

Key responsibilities:

• Design and Implement advanced post-training algorithms (SFT, RLHF, RLAIF) to optimize Gemini for code security tasks and secure coding practices.

• Diagnose and interpret training outcomes (regressions in coding ability, gains in security reasoning), and propose solutions to improve model capabilities.

• Actively monitor and evolve the system's performance through metric design.

• Develop reliable automated evaluation pipelines for code security that are strongly correlated with human security expert judgment.

• Construct complex benchmarks to probe the limits of the model’s ability to reason about control flow, memory safety, and software weakness.

About You

We are seeking individuals who excel in fast-pacing environments and are eager to contribute to the advancement of AI. We highly value the ability to invent novel solutions to complex problems, embracing a can-do and fail-fast mindset. We are looking for someone who genuinely believes in the future of AI and is committed to devoting their energy in this field.

In order to set you up for success as a Research Engineer at Google DeepMind, we look for the following skills and experience:

• BSc, MSc or PhD/DPhil degree in computer science, stats, machine learning or similar experience working in industry

• Deep understanding of statistics is strongly preferred

• Experiences in fine-tuning and adaptation of LLMs (e.g. advanced prompting, supervised fine-tuning, RLHF)

• Strong knowledge of systems design and data structures

• Proven experience with TensorFlow, JAX, PyTorch, or similar leading deep learning frameworks

• Recent experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models

• A passion for Artificial Intelligence.

• Excellent communication skills and proven interpersonal skills, with a track record of effective collaboration with cross-functional teams

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You'll own the technical strategy for turning raw data center capacity into reliable, efficient compute, working across power topology, workload scheduling, and real-time telemetry to push utilization as close to the physical envelope as possible while maintaining our availability commitments.

Key responsibilities include:

• Building models that forecast consumption across electrical and mechanical subsystems, informing capacity planning, energy procurement, oversubscription targets and risks, including statistical modeling of cluster utilization, workload profiles, and failure modes.

• Designing IT/OT interfaces that bridge compute orchestration with facility controls, enabling real-time telemetry across accelerator hardware, power distribution, cooling, and schedulers.

• Building and operating load management systems that use power and cooling topology to enable load management and power/thermal-aware placement to maximize throughput while meeting SLOs.

• Partnering with data center providers to drive design optimizations and hold them accountable to SLA-grade performance standards, providing technical diligence on partner architectures.

In this role, you'll need to have deep knowledge of data center power distribution and cooling architectures, and how they interact with IT load profiles. Experience with reliability engineering, SLA development, and failure-mode analysis is also essential.

Additionally, proficiency in statistical modeling and simulation for infrastructure capacity or power utilization, familiarity with SCADA/BMS/EPMS, telemetry pipelines, and control systems, and exposure to accelerator deployments and their power management interfaces are highly desirable.

This is a challenging and rewarding role that requires a unique blend of technical expertise, business acumen, and collaboration skills. If you're passionate about data center infrastructure, AI, and sustainability, we encourage you to apply.

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Saronic seeks an experienced Electrical Wiring Interconnection System Engineer to create interconnect architectures for marine platforms at scale. This role requires a strong understanding of manufacturing practices, excellent communication with electrical systems and mechanical engineers, and system schematic creation and change management.

Responsibilities & Duties

• Develop and maintain EWIS architectures, schematics, and harness assembly drawings in Zuken E3, ensuring drawings contain all information required for manufacturing and installation.
• Use NX computer-aided design (CAD) software to route harnesses in 3D per design and installation standards.
• Review and revise EWIS designs to meet project specifications and standards, including EMC/EMI, current-carrying capacity, voltage drop, and environmental/classification requirements.
• Maintain up-to-date knowledge of industry and military standards such as IPC/WHMA-A-620, ABYC, ABS, and applicable MIL-STDs, and apply them consistently in design and documentation.
• Provide technical support and troubleshooting during the construction of a harness, factory test, and integration into the vessel; lead root-cause analysis and corrective actions for nonconformances.
• Plan and support verification and validation activities (continuity/insulation resistance, hipot, and harness test board checks) and document results for compliance and quality audits.
• Communicate effectively with project managers, suppliers, and production stakeholders to coordinate build readiness, design-for-manufacture feedback, and schedule/risk mitigation.

Qualifications & Skills

• Bachelor’s degree in Electrical Engineering, Mechatronics, or related field.
• 5–10+ years of experience in EWIS design, harness engineering, or electrical integration within automotive, marine, or aerospace industries.
• Proficiency in Zuken E3, Siemens Capital, or equivalent electrical design tools.
• Experience using NX, CATIA, or SolidWorks Electrical for 3D harness routing and integration.
• Strong understanding of electrical systems design principles, grounding/shielding practices, and connector standards.
• Demonstrated ability to interpret and produce complex technical documentation, including schematics, BOMs, and installation drawings.
• Deep familiarity with industry standards such as IPC/WHMA-A-620, ABYC, and ABS.
• Proven ability to manage multiple projects and priorities in a fast-paced environment.

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).

Benefits

• Medical Insurance: Comprehensive health insurance plans covering a range of services
• Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care
• Saronic pays 100% 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

Additional Information

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

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This individual will be responsible for evaluating, benchmarking, and integrating cutting-edge navigation and sensor technologies across Saronic's fleet of autonomous vessels.

Key responsibilities include leading R&D initiatives, designing and executing benchmarking tests, performing trade studies, and developing system architectures.

The ideal candidate brings deep experience in electrical systems design, system-level trade studies, and technology evaluation, and thrives at the intersection of hardware innovation and applied research.

Responsibilities:

• Lead R&D initiatives focused on next-generation navigation and positioning solutions for autonomous vessels.

• Design and execute benchmarking tests of commercial and prototype systems (GNSS, INS/IMU, radar, LiDAR, Doppler velocity logs, etc.), including lab, dockside, and sea-trial environments.

• Perform trade studies and comparative analyses of current and emerging market offerings to inform system selection, integration paths, and performance improvements.

• Develop system architectures and interface specifications for integrating navigation sensors with vessel control, autonomy, and data processing subsystems.

• Prototype, test, and validate new electrical configurations supporting advanced sensing and positioning.

• Author technical reports and white papers summarizing benchmarking results, performance metrics, and recommendations.

• Collaborate with autonomy, software, and mechanical teams to ensure seamless sensor fusion and data pipeline integrity.

• Mentor junior engineers and contribute to internal R&D roadmaps for navigation system evolution.

• Contribute to IP generation, system qualification, and design standardization for future vessel platforms.

Required Qualifications:

• B.S. or M.S. in Electrical Engineering, Computer Engineering, or related discipline.

• 7+ years of professional experience in electrical systems engineering, preferably within marine, aerospace, automotive or defense domains.

• Demonstrated expertise with navigation and positioning systems: GNSS, INS/IMU, radar, LiDAR, or sensor fusion.

• Proven experience in system-level benchmarking, R&D experimentation, and trade study development.

• Strong understanding of signal integrity, timing synchronization, and sensor data acquisition.

• Proficiency with schematic and wiring design tools (e.g., Altium, AutoCAD Electrical, or SolidWorks Electrical).

• Experience with communication interfaces such as CAN, Ethernet, and serial protocols.

• Excellent technical writing and presentation skills , capable of producing concise, data-driven R&D documentation.

• Ability to operate effectively in both lab and field environments, including vessel trials.

Preferred Qualifications:

• Experience in autonomous or unmanned system development, particularly maritime platforms.

• Familiarity with sensor fusion algorithms and real-time data processing pipelines.

• Working knowledge of relevant industry standards (ABS, USCG, MIL-STD, IEC).

• Background in environmental testing, EMI/EMC compliance, and system reliability analysis.

• Experience supporting hardware-in-the-loop (HITL) or model-based system simulations.

Benefits:

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

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

• Saronic pays 100% 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

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:

This role requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3).

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Responsibilities: Conduct one or more of the following tasks with a high level of proficiency: Hull form development and optimization. Resistance, power and speed predictions. Functional design and general arrangement development. Stability analysis and loading manuals (IMO and USCG requirements). Hydrodynamic analysis (hydrodynamic properties, seakeeping, motions and accelerations). Propulsion and powerplant (conventional and non-conventional). Ship systems design (specifications, arrangement, P&ID’s). Global ship structural design (hull girder strength and global loads, fatigue and service life assessment). Local ship structural design (cargo holds, hatch covers, top-side structures, general outfitting). Prepare regulatory submissions according to USA-flag and international maritime regulations (USCG, IMO conventions, ABS, LR, DNV…etc.). Collaborate with other engineers to support CAD modeling, weight management, and the integration of autonomous navigation and control systems into vessel designs. Participate in design reviews and brainstorming sessions for new and existing vessel concepts. Support documentation, technical writing, and preparation of reports for internal use and client presentations. Research and stay updated on new developments in naval architecture, autonomous technology, and commercial shipping trends and innovation.

Qualifications: Must be a “U.S. Person”: U.S. citizens, legal permanent residents, and certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3). Bachelor’s degree or higher in Naval Architecture, Marine Engineering, Ocean Engineering, or a related field. Ability to work at speed and support quick turnaround trade studies, highly attentive to schedule-driven design freezes. Clear communicator with both engineering and non-engineering stakeholders. Strong fundamentals in core naval architecture principles and proficiency with industry-standard tools, including one or more of the following: Hull form and hydrostatics (e.g., Rhino3D, Orca3D) Hydrodynamics and seakeeping (e.g., Proteus DS / ShipMo3D, StarCCM+, Simerics) Stability and load case analysis tools (e.g. GHS) Structural analysis FEA and FEM interfaces (e.g. FEMAP) Systems and structures drawing tools (e.g. AutoCAD, Siemens NX) Working knowledge with energy efficiency measures (EEDI/EEXI, CII, hull optimization, hybrid power, alternative fuels, wind-assist) Senior Naval Architect: 5+ years of experience. Staff Naval Architect: 15+ years of experience.

Benefits: Medical Insurance: Comprehensive health insurance plans covering a range of services Dental and Vision Insurance: Coverage for routine dental check-ups, orthodontics, and vision care Saronic pays 100% 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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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

As the Engineering Manager for DPX, you'll lead a team of engineers building the products and platform that data partners use to manage their integrations with Plaid. The role requires a blend of technical depth, strategic thinking, and cross-functional leadership to scale partner-facing products from early-stage concepts to industry-leading infrastructure.

Responsibilities:

• Own technical execution and delivery for the DPX roadmap, including the Data Partner Dashboard, onboarding redesign, health monitoring, and migration tooling.
• Manage and grow a team of engineers across multiple locations.
• Partner with PM and cross-functional teams (Solutions Engineering, Data Partnerships, Data Partner Support) to align on priorities and unblock execution.
• Drive engineering quality: code reviews, design reviews, architectural decisions, reliability standards.
• Hire and develop engineers.
• Establish team processes and norms.

Qualifications:

• 6+ years of engineering experience, with 1.5 to 2 years managing engineering teams.
• Experience shipping customer-facing or partner-facing products.
• Strong systems design and architectural judgment.
• Track record of growing engineers and building team culture.
• Excellent communication skills, especially with non-engineering partners.
• Bonus: experience with API platforms, developer tooling, fintech, or partner ecosystems.

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On this team, you will build and operate the ML infrastructure and product services that enable trust and intelligence across Plaid's network. You'll own feature engineering, offline training and batch scoring, online feature serving, and real-time inference so model outputs directly power partner-facing fraud & trust products and bank intelligence features.

Responsibilities

• Embed model inference into Network Enablement product flows and decision logic (APIs, feature flags, backend flows).
• Define and instrument product + ML success metrics (fraud reduction, retention lift, false positives, downstream impact).
• Design and run experiments and rollout plans (backtesting, shadow scoring, A/B tests, feature-flagged releases) to validate product hypotheses.
• Build and operate offline training pipelines and production batch scoring for bank intelligence products.
• Ship and maintain online feature serving and low-latency model inference endpoints for real-time partner/bank scoring.
• Implement model CI/CD, model/version registry, and safe rollout/rollback strategies.
• Monitor model/data health: drift/regression detection, model-quality dashboards, alerts, and SLOs targeted to partner product needs.
• Ensure offline and online parity, data lineage, and automated validation / data contracts to reduce regressions.
• Optimize inference performance and cost for real-time scoring (batching, caching, runtime selection).
• Ensure fairness, explainability and PII-aware handling for partner-facing ML features; maintain auditability for compliance.
• Partner with platform and cross-functional teams to scale the ML/data foundation (graph features, sequence embeddings, unified pipelines).
• Mentor engineers and document team standards for ML productization and operations.

Qualifications

• Must-haves:
• Strong software engineering skills including systems design, APIs, and building reliable backend services (Go or Python preferred).
• Production experience with batch and streaming data pipelines and orchestration tools such as Airflow or Spark.
• Experience building or operating real-time scoring and online feature-serving systems, including feature stores and low-latency model inference.
• Experience integrating model outputs into product flows (APIs, feature flags) and measuring impact through experiments and product metrics.
• Experience with model lifecycle and operations: model registries, CI/CD for models, reproducible training, offline & online parity, monitoring and incident response.
• Nice to have:
• Experience in fraud, risk, or marketing intelligence domains.
• Experience with feature-store products (Tecton / Chronon / Feast / internal) and unified pipelines.
• Experience with graph frameworks, graph feature engineering, or sequence embeddings.
• Experience optimizing inference at scale (Triton/ONNX/quantization, batching, caching).

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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The AI platform for investors and bankers that generates alpha and drives upside.

Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world's largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally.

We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets.

Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership.

The Role

Engineering Managers at Hebbia are technical leaders who build, ship, and lead. Every manager on our team writes code, reviews pull requests, and makes architecture decisions alongside the engineers they lead. This role requires strong technical ability. If you are looking for a role that is purely people management, this is not the right fit.

You will own a team and a problem space. You will set technical direction, unblock engineers, raise the bar on quality, and ship product that our customers rely on to make investment decisions. You are a strong partner to your product counterpart, and when they are out you drive the product yourself. Product intuition and business understanding are as important as technical depth in this role. You will also hire, coach, and grow your team. Our interview process reflects how we work: expect systems design, coding, and architecture discussions in addition to leadership and management conversations.

Responsibilities

• Own the technical direction and delivery for your team. Set roadmap priorities, define architecture, and make tradeoffs between speed and quality.
• Write and review code. You will spend meaningful time in the codebase, not in meetings about the codebase.
• Hire, coach, and develop engineers. Run effective 1:1s, give direct feedback, and build a team that compounds in strength over time.
• Drive operational excellence for the systems your team owns: monitoring, incident response, on-call, and reliability.
• Collaborate with product and design to translate customer problems into technical solutions that ship fast. When your PM is unavailable, you own the product direction for your team.
• Work directly with customers and internal stakeholders to understand requirements and inform priorities.
• Identify and pay down technical debt. Make pragmatic decisions about when to invest in foundations versus when to move fast.
• Raise the engineering bar across the organization through better tooling, processes, and culture.

Who You Are

• 7+ years of software engineering experience at a venture-backed startup or top-tier technology company, with at least 2 years in a technical lead or engineering management role
• You still write code and want to keep writing code. You see management as a way to multiply impact, not a way to stop building.
• Strong systems design and architecture skills. You can design, critique, and evolve complex distributed systems.
• Experience building and scaling backend systems, data pipelines, or platform infrastructure in production
• Track record of hiring and developing strong engineers. You know what good looks like and you can attract it.
• Strong product intuition. You understand what customers need, why it matters to the business, and can make good product decisions independently.
• High ownership and urgency. You take accountability for outcomes, not process.
• Comfortable working in ambiguity. Priorities shift, requirements are underspecified, and you figure it out.
• Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go)
• Strong communicator. You can create clarity for your team, your stakeholders, and your customers.
• Experience building or leading teams that work with LLMs, agentic systems, or applied AI/ML in production is a plus
• Background in applied research or experience bridging research and production engineering is a plus
• Experience with enterprise customers, particularly in finance, legal, or consulting domains is a plus

Compensation

The salary range for this role is $200,000 to $300,000. This range may be inclusive of several career levels at Hebbia and will be narrowed during the interview process based on the candidate's experience and qualifications. Adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description.

Life @ Hebbia

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K
• Eats: Catered lunch daily + DoorDash dinner credit if you ever need to stay late
• Parental leave: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

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You will work at the intersection of heat transfer, materials science, and optical engineering to push the boundaries of receiver efficiency, durability, and cost-effectiveness.

Key responsibilities include:

• Leading the end-to-end design and development of high-temperature solar receivers optimized for solar field integration
• Developing thermal and optical models to predict receiver performance, including flux distribution, heat transfer efficiency, and thermal stress analysis
• Selecting and qualifying materials capable of withstanding extreme temperatures (800°C–1000°C+), thermal cycling, and high solar flux environments
• Designing receiver geometries (cavity, external, tubular, particle-based) to maximize energy absorption while minimizing thermal losses and mechanical fatigue
• Collaborating with solar collection and controls teams to optimize aiming strategies and flux distribution on receiver surfaces
• Interfacing with heat exchanger and thermal storage engineers to ensure seamless integration of receiver output with downstream systems
• Developing and executing testing protocols for receiver prototypes, including high-flux testing and accelerated life cycle evaluation
• Driving design-for-manufacturing initiatives to reduce receiver cost and improve producibility at scale
• Staying current with advances in receiver technology, high-temperature coatings, and selective absorber materials

Required qualifications include:

• A bachelor's degree in Mechanical Engineering, Aerospace Engineering, Materials Science, or related field; a master's or PhD is preferred
• 7+ years of experience in thermal systems design, with significant focus on high-temperature receiver or heat exchanger development
• Demonstrated expertise in solar thermal receiver design for tower-based or central receiver systems
• Strong background in heat transfer (conduction, convection, radiation), thermodynamics, and fluid mechanics
• Proficiency with thermal simulation tools (ANSYS, COMSOL, SolarPILOT, or equivalent)
• Experience with high-temperature materials including ceramics, refractory metals, and advanced alloys
• Hands-on experience taking receiver designs from concept through prototype testing and into production

Preferred qualifications include:

• Experience with molten salt, liquid sodium, or particle-based heat transfer media
• Knowledge of selective absorber coatings and high-temperature surface treatments
• Familiarity with optical modeling and ray-tracing software for flux analysis
• Background in solar field optimization and aiming point strategies
• Publications or patents in solar thermal receiver technology

Additional information:

• Competitive salary and equity options
• Comprehensive benefits package, including health, dental, and retirement plans
• Dynamic work environment that fosters creativity and innovation
• Opportunities for professional growth and development in a rapidly evolving industry
• Relocation assistance

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We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients.

This is a greenfield opportunity to architect and build a platform that will power the next generation of institutional digital asset adoption.

As an engineer on this team, you will drive the technical direction of our infrastructure services platform, mentor other engineers, and help shape the product roadmap.

Technical Skills:

• Build secure, scalable infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Design and implement virtual accounting layers, API integrations, and multi-tenant platform architectures
• Drive technical excellence through code reviews, design specs, and mentorship across the engineering organization
• Foster an efficient testing culture with emphasis on security, reliability, and minimizing tech debt in a regulated environment

Complexity and Impact of Work:

• Lead complex cross-functional projects spanning custody, trading, compliance, and client integration
• Break down large initiatives into well-scoped deliverables; accurately estimate multi-person, multi-quarter projects
• Own the end-to-end lifecycle of platform features,from architecture through production support and on-call rotation
• Find the right balance between shipping velocity and the perfection required for regulated financial infrastructure

Organizational Knowledge:

• Collaborate across product lines and with enterprise clients to understand and deliver on their infrastructure needs
• Work closely with compliance, legal, and security teams to ensure platform meets regulatory requirements
• Contribute to scaling the team through hiring, onboarding, and knowledge sharing

Communication and Influence:

• Influence architecture decisions and product roadmap,have a seat at the table with leadership
• Mentor and guide engineers on the team; help others connect their work to Anchorage's strategic goals
• Communicate effectively with external stakeholders, including enterprise clients and partners

You may be a fit for this role if you have:

• 8+ years of professional experience building backend services and distributed systems
• Experience designing and delivering customer-facing APIs and multi-tenant platform architectures
• Experience with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of building automated tests alongside your features and maintaining production systems over time
• Experience performing on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value over 'cool tech'

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Professional experience with Kubernetes and container orchestration
• Experience building ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management, API keys)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Background in the cryptocurrency or digital assets industry
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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We're looking for a Solutions Architect to join our Platform account team in Dublin. As a Solutions Architect, you will work with C-level executives and technical decision makers to provide business and technical thought leadership, and become a trusted advisor in solving mission-critical business challenges.

Responsibilities:

• Be a key member of the Platform account team with deep involvement in defining the customer strategy;
• Identify and close new complex opportunities, and accelerate solution adoption;
• Drive thought leadership and be a trusted advisor for key business and technical stakeholders including CIO, CTO, COO, CRO, CDO, Head of Product Engineering, and Head of Payments;
• Work to deeply understand the customer’s business objectives, and then design and apply Stripe’s solutions to their challenges;
• Conduct business analysis and background research on customers, industries, and competitors;
• Lead strategy engagements with users to align to business priorities, design solutions and secure the technical win by performing in-depth customer discovery, evangelising the proposed solutions through executive briefings, readouts, presentations and solution demos;
• Expand Stripe’s footprint within existing accounts to new global markets and business units by introducing new capabilities and local payment methods;
• Act as the “Voice of the Customer” to bring insights, trends and opportunities to the leadership, product and engineering teams from the forefront and prioritised for delivery;
• Participate in sales forecasting, Quarterly Business Reviews and account/territory planning to strategically and tactically align for success;
• Act as a crucial part of the sales team, providing technical insight and solutions to prospective and existing platform users.

Requirements:

• 4+ years of experience in a similar customer-facing engineering role such as solution consultant, solutions architect, or sales engineer, for a global software enterprise;
• Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels;
• Effective group-facilitation skills and confidence in proposing and leading customer meetings to gain strategic footing and pursue opportunities;
• Thorough understanding of the software development lifecycle and API architecture;
• Outstanding spoken and written communication skills, presentation skills, and confidence in explaining complex concepts to both technical and non-technical audiences;
• Ability to understand how a wide variety of applications such as ERP, CRM, Billing, Tax and legacy systems interact with each other in a platform technology stack/ecosystem;
• Strong organisational and time management skills and the ability to juggle competing priorities while working with multiple strategic opportunities and customers.

Preferred Qualifications:

• Experience as a customer facing, domain expert in the payments space, presenting, and architecting solutions for platform customers;
• Prior experience driving technical sales with top-tier enterprise scale platforms and supporting them and their customer’s unique requirements;
• Experience with integrating Stripe or other RESTful APIs into web applications;
• Experience in systems design, building and deploying complex applications;
• Experience in helping customers adopt and consume software in a cloud model;
• Passionate about learning and actively seeks out knowledge;
• Ability to work independently and confidently to develop a path forward with customers under ambiguous circumstances;
• Strategic and creative thinker who can proactively identify challenges and maintain a positive approach when facing difficult obstacles;
• Strong collaboration skills to work seamlessly with extended teams to support our users.

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You will design end-to-end enterprise solutions, guide customers through technical decision-making, and partner with sales to expand Corsair's footprint in high-performance computing and AI-driven workloads. The ideal candidate merges advanced systems knowledge with customer-facing expertise to shape solutions, support sales, and accelerate adoption of Corsair's enterprise platforms.

**Key Responsibilities:*

• Platform & Product Strategy: Collaborate with product management, engineering teams, and HPC integration partners to shape the roadmap for workstations and HPC platforms. Identify and evaluate emerging technologies, market trends, and evolving workloads to inform product strategies and unlock new business opportunities.

• New Product Introduction (NPI): Develop and drive NPI readiness plans including technical documentation, sales enablement resources, and customer-facing solution guides. Ensure smooth product rollout by aligning engineering, marketing, support, and ecosystem partners.

• AI & Developer Ecosystem Engagement: Align with AI software partners, SDK/tool providers, and developer communities to build value-added integrations and optimize emerging AI workloads on Corsair platforms and provide architecture-level guidance to support AI, ML, and HPC applications.

• Customer Solutions & Technical Leadership: Design system- and application-level solutions based on customer requirements; perform diagnostics, optimization, and version upgrade management and act as a technical subject matter expert for enterprise accounts, providing advanced troubleshooting guidance and deployment support.

• Client Relationship & Escalation Management: Build and maintain strong customer relationships through effective communication, pre-sales support, and solution clarity. Manage hardware escalations by coordinating with internal teams and vendor partners to ensure timely issue resolution and serve as a trusted hardware and technical SME across internal and external engagements.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field; equivalent practical experience (10+ years) considered.

• Extensive experience in high-performance computing, workstation architecture, or enterprise systems design.

• Strong background in Solutions Architecture, Sales Engineering, Product Marketing, or ODM platform development.

• Deep knowledge of Linux ecosystems, software build pipelines, and GPU computing technologies (NVIDIA CUDA, AMD ROCm, PCIe, InfiniBand).

• Excellent communication and leadership skills, with the ability to translate complex technical concepts into clear business value.

For roles that are based at our headquarters in Milpitas, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.

Annual Salary Range $165,000—$180,000 USD

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Working within a small, highly skilled R&D team, you'll collaborate closely with software engineers, sound designers, and product specialists to bring innovative products from concept to production.

Key Responsibilities

• Design, develop, and test embedded hardware and firmware for audio processing and control systems.
• Contribute to schematic capture, PCB design, and prototype assembly.
• Develop and maintain embedded C/C++ firmware for real-time DSP, network, and control applications.
• Work with cross-functional teams to integrate embedded systems with software and hardware platforms.
• Support the full product lifecycle from concept and prototyping through to production and field deployment.
• Conduct hardware bring-up, debugging, and performance optimization.
• Liaise with manufacturing partners to ensure design-for-manufacture (DFM) and design-for-test (DFT) requirements are met.

Skills and Experience

• Degree in Electronic Engineering, Computer Engineering, or a related discipline.
• Strong experience in embedded systems design using C/C++.
• Experience with schematic capture and PCB layout (e.g. Altium, KiCad).
• Familiarity with ARM Cortex-M or similar microcontroller architectures.
• Embedded Linux experience.
• Understanding of digital and analog audio circuit design.
• Experience with communication protocols such as SPI, I²C, UART, Ethernet and USB.
• Proficient in debugging hardware and firmware using oscilloscopes, logic analysers, and other lab tools.

Benefits

• Life Assurance
• Income Protection
• Pension
• Bike2work scheme
• 25 days holiday (increasing with service)
• Medical Cash Plan and Private Healthcare options
• substantial staff discount on company products

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We're looking for a Senior Systems Designer to own the development of key progression, economy, and gameplay balance-related features for a new game project. This includes designing and prototyping the features, working with a cross-disciplinary development team to implement them, and ultimately seeing them through to ship and beyond, maintaining and evolving them in a live game environment, and above all, making sure our players are having fun.

Key Responsibilities

• Work in close collaboration with project leads & directors to shape and evolve various complex design systems that support the engagement, gameplay, and creative vision of the project
• Design, document, prototype, and iterate on these systems, working with a team of developers across multiple disciplines, and oversee their successful implementation from start to finish
• Get hands on creating the scripting, data, and content required by those systems, diving into the engine and leveraging other tools
• Be responsible for soliciting and integrating feedback from across the team on your own initiative, ensuring we’re continually delivering a fun and fresh experience to our players
• Expand and iterate on those systems once they’re in the live environment, ensuring the game remains exciting and engaging to players

Requirements

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, gameplay system, and gameplay balance features and content
• Experience working on live-service multiplayer environments and ability to get your hands dirty in Unreal Engine is preferred, bonus points for mobile game experience
• Demonstrated talent for empathizing with players and a deep understanding of player motivations, forms of play, and the effects of progression and goal setting on play
• Strong interest in game progression and economies, and an understanding of what makes them work
• Ability to take initiative and react quickly to changing project needs, drive decisions, then owning the outcome and vision
• You’re player-focused, passionate, solutions-focused, and innovative; These traits equal success at Epic and influence everything we do

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).

California Base Pay Range

$158,988—$233,182 USD

Washington Base Pay Range

$144,535—$211,984 USD

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We're looking for a Senior Systems Designer to own the development of key progression, economy, and gameplay balance-related features for a new game project.

What You'll Do

• Work in close collaboration with project leads & directors to shape and evolve various complex design systems that support the engagement, gameplay, and creative vision of the project
• Design, document, prototype, and iterate on these systems, working with a team of developers across multiple disciplines, and oversee their successful implementation from start to finish
• Get hands on creating the scripting, data, and content required by those systems, diving into the engine and leveraging other tools
• Be responsible for soliciting and integrating feedback from across the team on your own initiative, ensuring we’re continually delivering a fun and fresh experience to our players
• Expand and iterate on those systems once they’re in the live environment, ensuring the game remains exciting and engaging to players

What We're Looking For

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, gameplay system, and gameplay balance features and content
• Experience working on live-service multiplayer environments and ability to get your hands dirty in Unreal Engine is preferred, bonus points for mobile game experience
• Demonstrated talent for empathizing with players and a deep understanding of player motivations, forms of play, and the effects of progression and goal setting on play
• Strong interest in game progression and economies, and an understanding of what makes them work
• Ability to take initiative and react quickly to changing project needs, drive decisions, then owning the outcome and vision
• You’re player-focused, passionate, solutions-focused, and innovative; These traits equal success at Epic and influence everything we do

Benefits

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

Pay Transparency Information

The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren’t limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic’s generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs).

British Columbia Base Pay Range

$139,061—$203,957 CAD

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At Epic Games, we're looking for a Senior Systems Designer to own the development of key progression, economy, and gameplay balance-related features for a new game project.

What You'll Do

As a Senior Systems Designer, you will work in close collaboration with project leads & directors to shape and evolve various complex design systems that support the engagement, gameplay, and creative vision of the project. You will design, document, prototype, and iterate on these systems, working with a team of developers across multiple disciplines, and oversee their successful implementation from start to finish.

Key Responsibilities

• Work with project leads & directors to shape and evolve complex design systems
• Design, document, prototype, and iterate on systems, working with a cross-disciplinary team
• Get hands-on creating the scripting, data, and content required by those systems
• Solicit and integrate feedback from across the team on your own initiative
• Expand and iterate on systems once they're in the live environment

What We're Looking For

• 5+ years of experience shipping titles as a Systems Designer
• Experience working on live-service multiplayer environments and ability to get your hands dirty in Unreal Engine
• Demonstrated talent for empathizing with players and a deep understanding of player motivations
• Strong interest in game progression and economies
• Ability to take initiative and react quickly to changing project needs

Benefits

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match.

Why Work at Epic Games?

At Epic Games, we're passionate about creating a collaborative, welcoming, and creative environment that allows our employees to grow and thrive. We're committed to doing right by our community and users, and we're always innovating to raise the bar of engine and game development.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

At Anthropic, we are building some of the most complex and large-scale AI infrastructure in the world. As that infrastructure scales rapidly, so does the imperative to optimise how we use it. As a Software Engineer for Compute Efficiency on the Capacity team, you will play a central role in making our systems more performant, cost-effective, and sustainable—without compromising reliability or latency.

You will work across the full infrastructure stack, from cloud platforms and networking to application-level performance, and will bridge the gap between high-level research needs and low-level hardware constraints to build the most efficient AI infrastructure in the world. You will help with building the telemetry, cost attribution, and optimisation frameworks that ensure every dollar of our infrastructure investment delivers maximum value. This is a high-impact, cross-functional role at the intersection of systems engineering, financial optimisation, and AI infrastructure.

Responsibilities

• Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilisation, and costs across our cloud and datacentre fleets.

• Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimise their resource consumption.

• Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.

• Partner closely with cloud service providers and internal stakeholders to optimise cluster configurations, workload placement, and resource utilisation across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines.

• Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.

• Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.

• Drive architectural improvements and code-level optimisations across multiple services and platforms to deliver measurable utilisation and performance gains.

You may be a good fit if you:

• Have 6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as a software engineer or tech lead

• Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement.

• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)

• Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP.

• Experience optimising end-to-end performance of distributed systems, including workload right-sizing and resource utilisation tuning.

• You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues

• Experience designing or working with performance and utilisation monitoring tools in large-scale, distributed environments.

• Strong problem-solving skills with the ability to work independently and navigate ambiguity.

• Excellent communication and collaboration skills—you will work closely with internal and external stakeholders to build consensus and drive projects forward.

Strong candidates may have:

• Experience with machine learning infrastructure workloads as well as associated networking technologies like NCCL.

• Low level systems experience, for example linux kernel tuning and eBPF

• Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

• Published work in performance optimisation and scaling distributed systems

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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

Anthropic is seeking an experienced Infrastructure Engineer to join our Sandboxing team within the Research organisation. In this role, you'll build and scale the systems that enable researchers to safely execute and experiment with AI-generated code and interactions in isolated environments.

As our models become more capable, the infrastructure supporting secure execution environments becomes increasingly critical. You'll work on distributed systems that must operate reliably at significant scale while maintaining strong security boundaries. Your work will directly support Anthropic's mission to develop AI systems that are safe, beneficial, and trustworthy.

Responsibilities

• Design, build, and operate distributed backend systems that power secure sandboxed execution environments
• Scale infrastructure to meet growing research and product demands while maintaining reliability and performance
• Implement and maintain serverless architectures and container orchestration systems
• Collaborate with research teams to understand requirements and translate them into robust infrastructure solutions
• Develop monitoring, alerting, and observability systems to ensure operational excellence
• Participate in on-call rotations and incident response to maintain system reliability
• Contribute to infrastructure automation and tooling that improves developer productivity
• Partner with security teams to ensure sandboxing infrastructure maintains appropriate isolation guarantees

You may be a good fit if you

• Have 5+ years of experience building and operating backend infrastructure at scale
• Have deep expertise in distributed systems design and implementation
• Have strong operational experience, including debugging complex production issues
• Are proficient with cloud platforms, particularly GCP/GCS (experience with AWS or Azure is also valuable)
• Have experience with containerization technologies (Docker, Kubernetes) and understand their security implications
• Are comfortable working with infrastructure as code and modern DevOps practices
• Have strong programming skills in languages such as Python, Go, or Rust
• Are results-oriented with a bias towards flexibility and impact
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have experience with

• Serverless architectures and functions-as-a-service platforms (Cloud Functions, Cloud Run, Lambda)
• Designing and implementing secure multi-tenant systems
• High-performance computing environments or ML infrastructure
• Linux systems internals, including namespaces, cgroups, and seccomp
• Network security and isolation techniques
• Building systems that support research workflows and rapid iteration

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 everyone is aligned and working towards the same goals.

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As an Engineer on the Client Infrastructure team at Cursor, you'll design and build the systems that make our desktop experience performant and stable for millions of developers.

You'll work across the core architecture of the Cursor client—from build and distribution systems to performance instrumentation and shared abstractions that other teams rely on. The work is deeply technical and central to the company's success. Developers expect near-perfect performance and reliability from their trusted tools; your work will make that possible.

Cursor's client is growing fast, spanning macOS, Windows, and Linux, and serving an increasingly diverse user base of professional engineers across many programming languages and developer ecosystems. You'll shape the systems that let us ship safely and quickly, while pushing the limits of what's possible in an AI-driven development environment.

Example projects include...

• Building core client infrastructure: shared abstractions, build systems, and observability foundations.

• Improving reliability and performance: eliminating memory leaks, crashes, and frame-time inconsistencies.

• Designing instrumentation and telemetry systems for profiling, structured logging, and performance measurement.

• Partnering with product teams to unlock faster release velocity—shipping updates to users daily.

• Evaluating Electron vs. native approaches for critical code paths, guiding architectural tradeoffs.

• Building internal tooling that enables other engineers to ship safely and quickly on the client platform.

You may be a fit if

• You have deep experience in client infrastructure—build systems, performance, distribution, or observability.

• You've built or contributed to high-performance desktop applications, whether Electron-based or native.

• You care deeply about performance, reliability, and developer experience, and have an eye for elegant systems design.

• You thrive in environments that are fast-moving, collaborative, and product-focused.

• You're excited to push the limits of what's possible in AI-driven developer tools.

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Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $232K – $350K • Offers Equity • Multiple Ranges

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’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 Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, 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

As an Account Director focused on Financial Services you will own executive-level relationships with leading Financial Services organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement.

This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Manage a focused portfolio of Financial Services accounts, developing long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles spanning banks, hedge funds, and asset managers

• Partner with solutions and research engineering to design pilots that demonstrate measurable business impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)

• Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

You might thrive in this role if you:

• 14+ total years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to Financial Services

• Proven success achieving annual revenue targets >$2M+ in regulated industries

• Experience managing C-suite relationships

• Strong understanding of financial services workflows

• Demonstrated ability to design and execute complex deal and partnership strategies

• Are customer-centric and can translate complex business needs into transformative AI solutions

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. They push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through their products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve their mission, they must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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GTM Onboarding Program Manager

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $177K – $251K • 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

The Enablement team translates OpenAI’s product innovation into real-world customer impact by equipping customer-facing teams with the knowledge, tools, and frameworks needed to succeed in their roles.

About the role

OpenAI is hiring a GTM Onboarding Program Manager to own the operational backbone of onboarding for our global go-to-market organization.

In 2026, OpenAI plans to onboard a large volume of customer-facing employees across sales, technical success, partnerships, and customer success. The onboarding program already exists — this role focuses on operating, scaling, and continuously improving the system that powers it.

You will manage onboarding operations end-to-end: coordinating cohorts, aligning stakeholders, evolving program structure, and ensuring new hires ramp quickly and confidently. You will also help modernize onboarding through AI-first workflows, data-driven iteration, and scalable systems that reduce operational burden while improving the learning experience.

This role is based in San Francisco and works closely with leaders across Sales, Technical Success, Product Enablement, Recruiting, and Revenue Operations.

In this role, you will:

• Run the operational cadence of GTM onboarding programs across multiple roles and hiring cohorts

• Translate hiring forecasts and business priorities into structured onboarding execution

• Manage onboarding logistics including scheduling, communications, certifications, and stakeholder coordination

• Partner with subject matter experts across Product, Sales, and Technical Success to keep onboarding current as products and messaging evolve

• Design scalable systems and processes that support high-volume onboarding while maintaining a high-quality experience

• Implement AI-forward approaches to onboarding operations and learner experience

• Establish and track onboarding success metrics including participation, readiness signals, and ramp indicators

• Continuously improve the program based on field feedback, business changes, and hiring scale

You'll thrive in this role if you:

• Enjoy turning complex programs into repeatable systems that scale

• Have experience operating GTM onboarding or enablement programs in fast-growing technology companies

• Are highly organized and comfortable managing multiple workstreams simultaneously

• Communicate clearly and build trust with stakeholders across different teams and levels

• Think in systems and processes rather than one-off solutions

• Bring curiosity and creativity to applying AI tools to improve workflows and learning experiences

• Are comfortable operating in environments where priorities, products, and hiring needs evolve quickly

Basic qualifications

• Experience owning or operating onboarding or enablement programs for customer-facing teams

• Strong program management and organizational skills

• Experience working cross-functionally with multiple stakeholders

• Ability to manage complex logistics and recurring program operations

• Willingness to work in-office in San Francisco

Preferred qualifications

• Experience supporting sales, technical success, or customer success organizations

• Experience scaling onboarding programs in high-growth environments

• Familiarity with learning platforms, enablement tooling, or onboarding systems

• Experience using AI tools to improve operational workflows or learning programs

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 and experiences of our team members.

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Account Director, Retail

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $232K – $350K • Offers Equity • Multiple ranges

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’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 Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, 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

As an Account Director focused on Retail, you will own executive-level relationships with leading retail organizations, including global brands, e-commerce platforms, and consumer goods companies. You’ll help these companies safely and effectively deploy OpenAI’s technology to transform customer experience, optimize supply chains, enhance merchandising strategies, and personalize consumer engagement.

This role blends market literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and retail-focused solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in San Francisco. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Manage a focused portfolio of retail accounts, developing and executing on long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles spanning merchandising, operations, marketing, and commercial functions

• Partner with solutions and research engineering to design pilots that demonstrate measurable business and customer impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends (e.g., FTC, consumer protection, etc.) to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., NRF, Shoptalk)

• Partner cross-functionally with marketing, partnerships, and communications to build the Retail go-to-market motion

We’re seeking someone with experience including:

• 14+ years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to retail or consumer goods customers

• Experience managing C-suite relationships across merchandising, IT, marketing, and commercial teams

• Strong understanding of retail and consumer goods workflows (e.g., inventory management, customer analytics, e-commerce operations, marketing campaigns)

• Demonstrated ability to design and execute complex deal and partnership strategies

You might thrive in this role if you:

• Are customer-centric and can translate complex market and business needs into transformative AI solutions

• Are passionate about advancing consumer experiences through the safe and ethical use of AI

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

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 this, we are committed to advancing the state of the art in AI safety and developing new technologies that can help us better understand and mitigate the risks associated with AI.

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Account Director, Insurance

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $232K – $350K • Offers Equity • Multiple Ranges

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’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 Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, 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

As an Account Director focused on Insurance you will own executive-level relationships with leading Insurance organizations. You’ll help these companies safely and effectively deploy OpenAI’s technology to accelerate financial data analysis, automate backend operations, drive AI-powered research, and personalize customer engagement.

This role blends literacy, technical depth, business acumen, and relationship-driven enterprise sales. You will collaborate closely with researchers, engineers, and financial services solution strategists to design secure, compliant, and high-impact AI deployments.

This role is based in New York City. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees.

In this role, you’ll:

• Manage a focused portfolio of Financial Services, specifically Insurance accounts, developing long-term strategic account plans

• Lead complex, multi-stakeholder sales cycles

• Partner with solutions and research engineering to design pilots that demonstrate measurable business impact

• Collaborate with compliance, privacy, and security teams to ensure responsible deployment of AI in regulated environments

• Own a revenue and consumption target; manage forecasts and pipeline reporting

• Monitor industry and regulatory trends to guide customer and product strategy

• Represent OpenAI at industry conferences and thought-leadership events (e.g., Money2020)

• Partner cross-functionally with marketing, partnerships, and communications to build the Financial Services go-to-market motion

You might thrive in this role if you:

• 14+ total years selling complex enterprise software or platform-as-a-service solutions

• 4+ years selling to Financial Insurance organizations

• Proven success achieving annual revenue targets >$2M+ in regulated industries

• Experience managing C-suite relationships

• Strong understanding of financial services workflows

• Demonstrated ability to design and execute complex deal and partnership strategies

• Are customer-centric and can translate complex business needs into transformative AI solutions

• Are a builder who enjoys designing scalable systems and repeatable sales motions from the ground up

• Are a strategist who anticipates industry shifts and guides enterprise customers through them

• Are energized by ambiguity and motivated to create structure and clarity across complex, cross-functional engagements

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

Workplace

Compensation

• $203K – $225K • 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.

About the Team

The Real Estate & Workplace (REW) team at OpenAI designs and manages spaces, programs, and services that empower our employees and advance our mission. Our team covers a diverse range of functions, including leasing, global operations, analytics, construction, workplace experience, and employee services. We strive to support OpenAI’s mission of researching and deploying safe artificial general intelligence that benefits all of humanity by optimizing the employee experience and maintaining operational excellence and financial discipline through rigorous focus on flexibility, cost effectiveness, intentional design, and scalable, people-centric solutions.

About the Role

We are seeking a highly experienced facilities professional to support parts of our expanding real estate portfolio across the globe. This is an extremely dynamic role that balances time between large scale collaborative projects and focus work around facilities standards and safeguards. This role reports to the AMERs Workplace Leader within the Workplace Operations org and involves close collaboration across various REW pillars and other cross-functional partners including Design & Construction, Leasing, Global Food Programs, Corporate Security, IT, and other external partners.

This position is based in San Francisco, CA, with the requirement of being in the office 5 days per week. Relocation assistance is available for new hires.

In this role you will:

• Develop, align, and maintain technical facilities standards globally, defining how OpenAI designs, operates, and maintains its buildings in a way that ensures safety, reliability, scalability, and consistency across regions while respecting local requirements.

• Build and manage a high-quality vendor bench for facilities operations, including selecting, onboarding, and partnering with specialized service providers to support maintenance, emergency response, and ongoing operational excellence.

• Serve as the primary point of contact for senior leadership during critical or crisis situations, providing rapid technical assessment, clear communication, and confident recommendations to stabilize operations and minimize business impact.

• Advise construction project managers and architects on MEP systems during design and build phases, ensuring building systems are fit for purpose, operationally sustainable, and aligned with long-term facilities standards.

• Strengthen facilities data and analytics through technical rigor and standardization, ensuring that building system data, asset information, and performance metrics are accurate, comparable, and useful for planning, risk management, and optimization.

• Act as a trusted Source of Truth for facilities standards and technical guidance, supporting Workplace, Design & Construction, and cross-functional partners with clear direction, expert judgment, and escalation paths.

You’ll thrive in this role if you have:

• 10+ years of experience in facilities engineering, building systems design, or technical operations within high-growth, global organisations.

• Deep knowledge of mechanical, electrical, and plumbing systems, with hands-on experience troubleshooting complex issues.

• Professional Engineering (PE) license, CFM, or equivalent technical certification preferred.

• Experience with BAS/BMS platforms, energy management systems, and commissioning processes.

• Familiarity with global building codes, health & safety standards, and landlord/tenant relationships.

• Strong analytical, diagnostic, and project management skills.

• Ability to communicate complex technical concepts clearly to non-technical audiences.

• Comfortable operating as an independent contributor and trusted advisor rather than a people manager.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general artificial intelligence benefits all of humanity.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $293K – $385K • 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

Within Applied Engineering, the Financial Engineering team ensures that our products are monetized effectively to accommodate customers' varying needs and scales. Collaborating closely with the GTM and Finance teams, we strive to tailor our billing stack to our evolving internal requirements.

About the role

We are looking for an Engineering Manager to build and operate the workflows to power quoting, tracking, and fulfillment for everything sold by OpenAI. We also build critical billing and invoicing capabilities (and partner closely on customer-facing billing experiences) to ensure financial integrity, auditability, and a seamless, transparent onboarding and billing journey for enterprise customers.

In this role you will:

• Lead and grow a team of engineers responsible for order management automation, focusing on reliability, correctness, and smooth customer onboarding.

• Own the architecture and roadmap for order data flows into downstream systems (e.g., internal provisioning services, billing/invoicing services, and revenue workflows).

• Build and operate resilient workflows and services that automate entitlements, provisioning, usage controls, SKU attribution, invoice generation/delivery, and revenue recognition—minimizing manual steps while maximizing correctness and traceability.

• Improve accuracy and timeliness of provisioning, billing, and invoicing—reducing manual intervention and operational load through automation, validation, and reconciliations.

• Establish strong operational practices (observability, alerting, runbooks, on-call) so systems remain healthy without constant human oversight.

• Partner deeply with Sales Operations, Finance, Accounting, Support, Product, Security, and Compliance to translate requirements into resilient, auditable workflows.

• Drive clarity across ambiguous problem spaces and evolving product offerings; create frameworks and abstractions that scale as OpenAI’s commercial footprint expands.

• Set high engineering standards via technical direction, design reviews, mentoring, and fostering a culture of ownership and continuous improvement.

• Bring strong leadership: teach and level up engineers, recruit and retain talent, manage stakeholders, and scope work to balance customer needs with realistic deliverables.

You might thrive in this role if you:

• Have 7+ years of professional software engineering experience, including 3+ years leading engineers or managing teams.

• Have experience integrating revenue platforms (e.g., CPQ, billing, invoicing, revenue recognition, entitlement systems).

• Have built or operated complex commerce / SaaS ordering systems.

• Are strong in systems design, data modeling, and building reliable distributed services and workflows.

• Have experience in domains where correctness, auditability, and reconciliation are essential (e.g., payments, ERP/finance systems, invoicing/revenue recognition).

• Can lead (or effectively partner on) customer-facing billing experiences with a focus on clarity, accessibility, and trust.

• Care deeply about operational excellence and building systems that are observable, predictable, and resilient.

• Communicate clearly, build trust, and lead with context rather than control; you’re energized by close cross-functional partnership.

Nice to Have

• Experience with large-scale SaaS billing or enterprise account provisioning; usage-based and/or seat-based pricing; invoice generation at scale.

• Familiarity with finance and revenue operations concepts (e.g., proration, credits/adjustments, revenue schedules).

• Exposure to common CRM/ERP and payment ecosystems (e.g., CPQ, invoicing, collections, payment processors), without reliance on any single vendor.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose technologies like artificial intelligence benefit all of humanity.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $255K – $405K • 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

ChatGPT is a rapidly evolving system: new capabilities ship continuously, product surfaces change quickly, and usage patterns shift week-to-week. Supporting that pace requires infrastructure that can handle real production constraints—high concurrency, unpredictable traffic patterns, complex dependency graphs, and frequent change.

The job of ChatGPT Infrastructure is to build and operate the platforms that make fast iteration possible without breaking performance or reliability. We design the shared systems, data paths, rollout mechanisms, and reliability guardrails that teams rely on when shipping changes to ChatGPT at scale.

We focus on high-leverage infrastructure: primitives and “golden paths” that turn hard-won operational lessons into defaults—so engineers don’t need to rediscover the same failure modes, latency pitfalls, or integration issues each time they build something new.

About the Role

We’re hiring Senior and Staff engineers to design and build infrastructure systems that sit underneath ChatGPT and multiply the effectiveness of the teams building user experiences.

This is not a “keep the lights on” role. It’s a platform-building role: you’ll define interfaces, develop core abstractions, and create tooling that makes safe, fast iteration the norm. Your work will show up as less friction, fewer regressions, better performance, and systems that scale gracefully as the product expands.

Where You Can Have Impact

You might work on one or more of these areas (without being locked into any single lane):

• Platform foundations & frameworks: core libraries, service frameworks, and shared components that standardize how systems are built, integrated, and evolved.

• Scalability & performance primitives: patterns and infrastructure that reduce tail latency, improve throughput, and keep costs predictable as demand grows.

• Reliability guardrails: mechanisms that prevent outages by design—rate limiting, load shedding, dependency isolation, backpressure, safe fallbacks, and “make it hard to regress” controls.

• Developer productivity via golden paths: paved roads for common workflows (data access patterns, service integration patterns, request lifecycle patterns) that are fast, safe, and easy to use.

• Observability & debugging systems: instrumentation, metrics models, and investigative tooling that turn “it’s slow” into a precise, actionable diagnosis.

• Safe change management: deployment and rollout systems that support rapid iteration with confidence—progressive delivery, automated verification, and fast rollback strategies.

• Interface and contract design across boundaries: clean APIs and stable contracts that reduce coupling and allow independent evolution across a complex ecosystem.

What You’ll Do

• Build and evolve infrastructure platforms that many engineers and services depend on.

• Translate messy real-world constraints into clean abstractions: simple APIs, enforceable contracts, safe defaults.

• Drive improvements in reliability and performance through principled design, measurement, and iterative hardening.

• Partner across engineering and product to identify systemic pain points and turn them into reusable solutions.

• Own outcomes end-to-end: design → implementation → rollout → operational maturity.

Qualifications

**Minimum Qualifications

• Experience building and operating large-scale distributed systems in production (high throughput, concurrency, and failure handling).

• Strong fundamentals in systems design, including caching, consistency, queueing/backpressure, and resilient dependency management.

• Ability to reason about performance (latency distributions, tail behavior, bottlenecks) and translate that into concrete engineering work.

• Track record of building platforms

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San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • 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

The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation.

Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses.

This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale.

About the Role

We’re looking for experienced Software Engineers to help build OpenAI’s foundational ads ranking and recommendation systems—the ML and AI platforms that determine how monetized experiences are selected, ordered, and optimized across OpenAI products.

In this role, you’ll architect and implement large-scale, high-performance ML-driven systems with rigorous requirements around latency, correctness, safety, privacy, and continuous improvement. You’ll work on modern, transformer- and LLM-inspired architectures that move beyond traditional feature engineering toward more expressive, context-aware decisioning. Your work will have a direct revenue impact and make ChatGPT and other products accessible to more people with fewer usage limits or without having to pay.

This is a deeply technical, 0→1 founding-stage role where you’ll operate across backend engineering, systems design, and applied AI/ML to help define the next generation of AI-native monetization and recommendation platforms.

This role is exclusively based across our San Francisco and Seattle sites. We offer relocation assistance to new employees.

In this role, you will:

• Architect, build, and evolve large-scale ads ranking and recommendation systems using modern ML and AI techniques

• Design and productionize LLM- and transformer-inspired models that leverage sequential signals, long-horizon context, and sparse or delayed feedback.

• Develop model-driven decision logic and inference pipelines that operate under real-world constraints around performance, reliability, and privacy.

• Partner closely with Product, Design, and Research to define requirements and translate ambiguous product goals into scalable ML systems.

• Prototype, experiment, and rapidly iterate on new model architectures and training approaches to improve relevance, quality, and efficiency.

• Build services and infrastructure that support training, evaluation, online inference, and continuous optimization of ML models.

• Establish strong measurement, experimentation, and debugging practices to understand model behavior and system-level outcomes.

• Contribute to technical strategy and help shape the long-term evolution of OpenAI’s monetization and recommendation stack.

• Embed safety, fairness, and policy considerations directly into model design and system architecture from first principles.

You might thrive in this role if you:

• Have 6+ years of experience building and scaling ML-powered systems in production environments.

• Have worked on ranking, recommendation, ads, marketplaces, or large-scale ML inference systems.

• Are comfortable operating across the full stack — from model development to backend services and production deployment.

• Enjoy deeply technical 0→1 problem spaces where architecture, strategy, and implementation overlap.

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Collaborate to define product goals Conceive, design, evaluate, and produce novel gaming hardware Work closely with contract manufacturers to prototype and produce hardware at scales from tens to millions of units

Electrical engineers at Valve have significant industry experience. We usually don’t hire recent graduates.

Members of our team typically have the following skills:

Proven start-to-finish design skills with industry-standard CAD/EDA tools (Altium Designer experience strongly preferred), including schematic entry, PCB layout, component definition, and CAD library management Hands-on electronics prototyping experience, including soldering and rework of fine-pitch SMT components Strong lab skills, including the use of common test and measurement equipment (oscilloscopes, logic analyzers, etc.) to debug and characterize complex electronic circuits Experience with embedded systems design and common digital communication interfaces (USB, SPI, I2C) Experience working directly on-site with manufacturing partners A proven track record of designing and shipping high-volume consumer electronics products Experience in design for manufacture and design for test (DFM/DFT) of electronic devices Ability to think and work across a variety of subject areas

Bachelor's degree (or equivalent work experience) in electrical engineering or a related field

Our team includes individuals with expertise in the following areas:

Analog circuit design and simulation (e.g. SPICE) Low-power design, including battery management and charging circuits for portable devices RF/wireless circuit design, including design of antennas and for EMC Firmware development for 8, 16, 32-bit microcontrollers (e.g. ARM) High speed/HDI board design Digital Signal Processing (DSP) High speed video interfaces (HDMI, Display Port, LVDS, MIPI) Regulatory compliance testing (e.g. FCC/CE/UL) C/C++ software development Test automation FPGA/ASIC design

What We Offer

An organization where 100% of time is dedicated as groups see fit The opportunity to collaborate with experts across a range of disciplines A work environment and flexible schedule in support of families and domestic partnerships A culture eager to become stronger through diversity of all forms Exceptional health insurance coverage Unrivaled employer match for our 401(k) retirement plan Generous vacation and family leave On-site amenities in support of health and efficiency Fertility and adoption assistance Reimbursement for child care during interviews

Valve strives to improve the diversity of our teams to better serve our diverse global audience. We welcome and encourage individuals from all backgrounds to apply.

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Microsoft are looking for a talented Software Engineering II at their Redmond office. This role sits at the heart of building the marketing solutions for the next generation of e-commerce. Our platform helps advertisers and retailers implement, automate, and scale their marketing programs across the internet.

About the Role

We are building the marketing solutions for the next generation of e-commerce. Our platform helps advertisers and retailers implement, automate, and scale their marketing programs across the internet. We work on hundreds of terabytes of data using the latest Microsoft cloud infrastructure, have a very solid focus on customer satisfaction, and leverage data driven metrics to delight our customers. This is an excellent opportunity for a Software Engineer II to join Microsoft Ads, work on one of the most highly distributed computing systems and be part of a fast-growing business.

Accountabilities

• Design, develop, and deliver innovative and impactful features.
• Work on coding, debugging, testing, and troubleshooting throughout the application development process.
• Drive long-term architectural improvements and development for highly scalable services with quality, performance, and maintainability as core tenets.
• Drive Collaboration across teams to deliver high quality solutions from concept to release and live operations.
• Mentor and develop engineers across all levels through sharing and learning.

The Candidate we're looking for

Experience:

• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Excellent technical design, problem solving and debugging skills, proven track record in shipping software on time, with high quality.

Personal attributes:

• Great team player and communicator, solid believer in collaboration and teamwork.

Benefits

• Competitive salary.
• Health and wellbeing benefits.
• Professional development opportunities.
• Financial benefits (bonus, equity, pension, etc.).
• Cultural perks (team events, office amenities, etc.).

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Microsoft are looking for a talented Software Engineering II at their Redmond office. This role sits at the heart of developing innovative and impactful features for the Microsoft Advertising Platform team. You'll work on coding, debugging, testing, and troubleshooting throughout the application development process.

About the Role

As a Software Engineer II, you will design, develop, and deliver innovative and impactful features. You will work on coding, debugging, testing, and troubleshooting throughout the application development process. You will drive long-term architectural improvements and development for highly scalable services with quality, performance, and maintainability as core tenets. You will drive collaboration across teams to deliver high-quality solutions from concept to release and live operations. You will mentor and develop engineers across all levels through sharing and learning.

Accountabilities

• Design, develop, and deliver innovative and impactful features.
• Work on coding, debugging, testing, and troubleshooting throughout the application development process.
• Drive long-term architectural improvements and development for highly scalable services with quality, performance, and maintainability as core tenets.
• Drive collaboration across teams to deliver high-quality solutions from concept to release and live operations.
• Mentor and develop engineers across all levels through sharing and learning.

The Candidate we're looking for

Experience:

• 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python.

Technical skills:

• Excellent technical design, problem-solving, and debugging skills, proven track record in shipping software on time, with high quality.

Personal attributes:

• Great team player and communicator, solid believer in collaboration and teamwork.

Benefits

• Competitive salary range of USD $100,600 - $199,000 per year.
• Benefits and other compensation, including health and wellbeing benefits, professional development opportunities, and financial benefits.
• Opportunity to work on a highly distributed computing system and be part of a fast-growing business.

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What you'll do

As a Senior Infrastructure Engineer, you will be responsible for building and maintaining core systems that power Perplexity's products and development workflows. This will involve developing internal tools and automation to streamline developer workflows and operational efficiency.

• Build and maintain robust, scalable infrastructure to support high-performance search systems
• Develop internal tools and automation to streamline developer workflows and operational efficiency

What you need

To be successful in this role, you will need to have a strong background in cloud infrastructure, systems design, and automation. You will also need to have a deep understanding of Linux internals, performance tuning, and debugging.

• Strong background in cloud infrastructure (AWS preferred), systems design, and automation
• Deep understanding of Linux internals, performance tuning, and debugging

Why this matters

This role is critical to ensuring the high-quality product that Perplexity delivers. Your passion and diligence will be essential in ensuring that the company's products meet the highest standards.

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What you'll do

Your main responsibilities will be to architect, build, and optimise ultra-low-latency search infrastructure using Rust. You will also profile and instrument services, continuously driving down response times at scale, and develop and maintain distributed backend components powering real-time search and retrieval.

• Architect, build, and optimise ultra-low-latency search infrastructure using Rust
• Profile and instrument services, continuously driving down response times at scale
• Develop and maintain distributed backend components powering real-time search and retrieval

What you need

To be successful in this role, you will need to have deep expertise in Rust programming, especially for backend/search systems. You will also need experience profiling and tuning high-load, low-latency distributed services, and a strong understanding of systems design, Linux internals, and performance debugging.

XML job scraping automation by YubHub

What you'll do

Build and evolve full stack systems that integrate multiple third-party and in-house Sonar models, ensuring seamless orchestration, robustness, and observability in production.

What you need

• Hands-on experience building production AI or agentic applications end to end, including tool calling, context engineering, and integration with modern LLM APIs.

XML job scraping automation by YubHub

What you'll do

• Design, prototype, and collaborate with other Designers and project leadership to ensure your systems deliver the desired player experience and achieve other project goals
• Communicate the vision for these features to developers across multiple disciplines, and ensure they have the information needed to implement them quickly and effectively

What you need

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, and/or engagement features and content

XML job scraping automation by YubHub

What you'll do

• Work in close collaboration with project leads & directors to shape and evolve various complex design systems that support the engagement, gameplay, and creative vision of the project
• Design, document, prototype, and iterate on these systems, working with a team of developers across multiple disciplines, and oversee their successful implementation from start to finish

What you need

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, gameplay system, and gameplay balance features and content
• Experience working on live-service multiplayer environments and ability to get your hands dirty in Unreal Engine is preferred, bonus points for mobile game experience

XML job scraping automation by YubHub

What you'll do

• Design, prototype, and collaborate with other Designers and project leadership to ensure your systems deliver the desired player experience and achieve other project goals
• Communicate the vision for these features to developers across multiple disciplines, and ensure they have the information needed to implement them quickly and effectively

What you need

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, and/or engagement features and content
• Experience working on live-service multiplayer environments is preferred

XML job scraping automation by YubHub

What you'll do

• Design, prototype, and collaborate with other Designers and project leadership to ensure your systems deliver the desired player experience and achieve other project goals
• Communicate the vision for these features to developers across multiple disciplines, and ensure they have the information needed to implement them quickly and effectively

What you need

• 5+ years of experience shipping titles as a Systems Designer, working on progression, economy, and/or engagement features and content
• Experience working on live-service multiplayer environments is preferred

XML job scraping automation by YubHub

What you'll do

• Design, develop, implement, and/or improve systems in accordance with Rocket League design principles.
• Develop game systems that drive match feedback, player analytics, and matchmaking.

What you need

• Passion for Rocket League and similar esports-based titles.
• Familiarity and interest in Fortnite Ecosystem features and mechanics.

XML job scraping automation by YubHub

What you'll do

Partner with creative leadership to define and uphold the design direction across systems, content, and live service features. Drive the creation, implementation, and iteration of core features, content, and live service programs from concept to completion.

What you need

• 8+ years of professional game design experience, including senior leadership on at least one shipped AAA title.

XML job scraping automation by YubHub

What you'll do

As a Game Designer, you will be responsible for planning and designing game systems, managing requirements, coordinating with engineers, artists, and QA testers during development, utilising data analysis and user feedback to propose game improvements and optimisations, and skillfully drafting comprehensive game design documents using office software.

What you need

• 3-8 years of game design experience in the Chinese gaming industry.
• Experience in launching and operating at least one mobile game.
• Creative, analytical, and team-oriented.
• Familiarity with systems, mechanics, narrative, level, and scripting design.
• Possess over 1 year of interest and understanding in football games and competitions.
• Able to use basic spoken English communication and proficient in written English expression.

XML job scraping automation by YubHub

What you'll do

This is a fundamental design leadership role for Respawn Entertainment and the player satisfaction of the engagement experience in Apex Legends. As the Senior Systems Director, you will lead the design vision of all engagement and retention system designs that drives player’s fun in the next generation of Apex Legends live services.

• Lead Apex Legends System Design Direction: Direct long-term direction for Progression, Economy and Social features rewarding players driving ongoing engagement
• Develop and communicate the vision and design supporting the overall game vision with clear intent of driving innovation and player engagement

What you need

• At least 10 years of systems design experience, with 3+ years as a systems design leader in the AAA console/PC games or mobile games with similarly rich progression systems

XML job scraping automation by YubHub