The Test Engineer operates at the interface between vehicle testing, embedded systems verification, data analysis, and regulatory conformity, contributing actively to continuous improvement of OBM monitoring fleets and analysis tools.

Responsibilities:

• Configuration, validation and upgrading of test vehicles in accordance with OBM requirements and test program specifications
• Verification of embedded systems integrity, including hardware, software and OBM-related functions
• Validation and setup of data acquisition chains, sensors, communication interfaces and logging systems
• Preparation and coordination of vehicle logistics, planning and operational readiness for fleet deployment
• Planning and launching fleets under defined test conditions and usage scenarios
• Definition, implementation and monitoring of data collection protocols and traceability rules
• Processing, filtering and consolidation of data collected from OBM-equipped vehicles for transferring to data analysis team
• Verification of data completeness, consistency and coherence across different sources and measurement channels
• Assessment of conformity against OBM regulatory and technical criteria
• Execution of first-level technical analysis to identify anomalies, deviations or atypical behaviors
• Preparation of dashboards, KPIs, synthesis reports and technical summaries for engineering and project teams
• Contribution to the continuous improvement of monitoring strategies, analysis tools and data quality processes
• Participation in technical meetings and reviews to support data interpretation, conformity assessment and tool enhancement

Profile:

• Degree in mechanical engineering, electro-mechanical engineering, electronic engineering or a related field
• Experience in both an industrial and product development setting is an asset
• Strength in developing new test methods and improving existing ones by applying fundamental understanding
• Good knowledge of thermodynamics, internal combustion engines and hybrid platforms is an asset
• Experience with dedicated tools such as INCA, CANalyzer, CANoe and/or programming languages is an asset
• Plan and manage project deliverables, schedule, and resources
• Hands-on experience with fuel cell test bed and/or design is an asset
• Attention to detail with excellent written and oral communication skills

We offer:

• A young and very dynamic team, working in a very professional, international environment
• Continuous professional and personal development programs
• Medical insurance

If you are interested in this position, please use our online application tool to send your application to AVL!

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The internship is a great opportunity to apply theoretical knowledge in a practical setting and to gain hands-on experience in a dynamic and innovative company. You will work closely with experienced professionals and contribute to the development of new projects and processes.

During your internship, you will have the chance to explore different areas of the company and gain a deeper understanding of the automotive industry. You will also have access to state-of-the-art technology and equipment, including software tools and hardware platforms.

Requirements:

• Currently enrolled in a degree program in computer science, mathematics, or a related field
• Strong analytical and problem-solving skills
• Proficiency in programming languages such as Python, Java, or C++
• Experience with data analysis and visualization tools such as Excel, Tableau, or Power BI
• Good communication and teamwork skills
• Ability to work independently and as part of a team
• Fluency in German and English

Duration: 6 months Start date: 01.10.2026 Location: Leipzig Working hours: Full-time Benefits: Comprehensive benefits package including health insurance, pension plan, and paid time off Salary: Competitive salary and benefits package Required skills: Data analysis, software development, programming languages, data visualization, teamwork, communication Preferred skills: Experience with automotive industry, knowledge of Porsche products and services, proficiency in multiple programming languages

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Your main responsibilities will include:

• Validating and verifying the BEV energy system to ensure it meets the required specifications and standards
• Collaborating with cross-functional teams to develop and test new technologies and features
• Analyzing data and identifying areas for improvement
• Developing and implementing test plans and procedures
• Collaborating with suppliers and partners to ensure compliance with regulatory requirements

We offer a dynamic and innovative work environment with opportunities for professional growth and development. Our team is passionate about creating high-performance electric vehicles that exceed customer expectations.

If you are a motivated and detail-oriented individual with a passion for electric vehicle technology, we encourage you to apply for this exciting opportunity.

Duration: 5-6 months Start date: Flexible Location: Weissach, Germany Language: English Salary: Competitive salary and benefits package Required skills:

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, or related field
• Experience with validation and verification of electric vehicle systems
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills
• Experience with data analysis and interpretation
• Familiarity with regulatory requirements and industry standards
• Proficiency in Microsoft Office and other software tools
• Ability to work in a fast-paced environment and prioritize tasks effectively

Preferred skills:

• Experience with simulation tools and modeling software
• Familiarity with programming languages such as Python or C++
• Experience with data visualization tools and techniques
• Knowledge of electric vehicle safety and security standards
• Familiarity with agile development methodologies
• Experience with version control systems such as Git

If you are a motivated and detail-oriented individual with a passion for electric vehicle technology, we encourage you to apply for this exciting opportunity.

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You will join the international Finance Team of the Holidu Group, which operates from three countries and tackles the unique challenges of the digital travel industry. As an Accounting Specialist, you will be part of the Accounting Team, which has grown steadily over the years to meet the demands of a successful scale-up and currently oversees more than 10 companies in and outside of Germany. Our Accounting Team is mainly based in Munich.

When you're not local, we'd love to see you at least once a month in our office – face-to-face interaction is important to us and just more fun!

Your role in this journey

You will report directly to the Director Accounting and support with complex issues as well as continuous process improvement. You will also work on projects and support with special topics, such as M&A issues.

You will review and process business cases for creditors, debtors, and main accounts of our German companies and be responsible for ongoing coordination and maintenance of accounts as well as independent clarification of differences.

You will actively participate in the creation of monthly and annual financial statements, particularly in the creation of the consolidated financial statement for the Holidu Group, consisting of currently more than 10 companies.

You will bring entrepreneurial ideas and establish accounting policies within the further growth of the Holidu Group.

You will create evaluations, reports, and analyses for internal and external stakeholders.

Your backpack is filled with

You have a completed study with a focus on accounting and taxation and ideally a further qualification as a certified accountant or comparable qualifications.

You bring several years of professional experience (5+ years) in the above-mentioned field, ideally in a medium-sized and/or rapidly expanding company with international interfaces.

You are balance-sheet secure according to HGB and ideally already have knowledge of IFRS, as well as sound knowledge of value-added tax and income tax law. When faced with complex questions, you look up the law, research, and seek out possibilities for continuous further education.

You can already demonstrate sound experience with ERP systems, preferably S/4Hana, as well as with consolidation software, preferably Lucanet.

You enrich the team with your practical hands-on mentality combined with strong communication skills.

You are reliable, work very accurately, and have a high level of self-motivation combined with the drive to move and implement something, to look beyond the horizon, and continuously question existing processes. You stand out through a structured and analytical way of working.

You enjoy working in a dynamic environment and have the flexibility to react to changing requirements.

You have a high level of IT affinity and are familiar with MS Office and Google products; basic knowledge of programming languages and AI applications is an advantage.

You have very good German and English language skills in writing and speaking. Any additional foreign language is a plus!

Our adventure includes

Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu, ideas become real products, data informs our decisions, and continuous improvement helps us learn faster. Your work has meaning – and you'll see the difference right away.

Lernen: Grow in a culture that lives by curiosity and open feedback. Learn from our outstanding colleagues, work across disciplines, and benefit from mentoring and personal learning budgets – with a special focus on AI.

Tolle Leute: Become part of a team of smart, motivated, and international colleagues who challenge and support each other. We celebrate successes and keep our culture entertaining, ambitious, and human. Our customers are guests and hosts – people you can identify with – which makes our work meaningful and inspiring.

Technologie: Work in a modern tech environment. Experience the pace of a scale-up combined with the stability of a proven business model that lets you continuously develop, test, and optimize new things.

Flexibilität: Enjoy the benefits of a hybrid work model with at least 50% office time for personal collaboration and work up to 8 weeks a year from inspiring locations. Stay connected through regular events and meetups across our nearly 30 offices.

Zusätzliche Vorteile: Of course, we offer travel discounts, fitness rebates, and other perks that keep you full of energy. What sets us apart, though, is the opportunity to grow in a dynamic industry with great people and have a lot of fun while doing it.

Want to travel with us?

Apply online on our Career Page! Your first contact will be Max from HR.

We strive for diversity in all areas of our company. We welcome applications from all genders, from all parts of the world, and with various personal backgrounds. You can submit your application without a photo and without specifying your gender, date of birth, marital status, nationality, or degree of disability (if applicable). If you need special arrangements for interviews, office visits, or the entire application process, please contact the HR representative responsible for this position. We will do our best to accommodate your needs.

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Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.

Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

As a Senior Clinical Data Manager II, you will be responsible for coordination of the Clinical Data Management (CDM) deliverables on assigned clinical studies and may be an expert on CDM processes, standards, and technology.

You will coordinate the Clinical Data Management deliverables on assigned studies depending on the relevant model and DM Vendor. Takes accountability and serves as the first line of contact at the study level.

Demonstrates leadership and operational knowledge in the planning and delivery of CDM deliverables at a study level potentially under mentorship from a Project Data Manager.

Communicates and collaborates effectively with all study team members. Primary point of contact for DM vendor and provides guidance and supervision to Lead Data Manager/DM Team Lead working on the study (CRO or in-house).

Oversight of day-to-day operational aspects of CDM for assigned studies; Responsible to identify risks and collaborate with the DM Vendor to mitigate the risk. Escalates issues/risks when necessary.

Understands corporate, therapeutic/indication or program specific data capture AZ standards.

Provide input into CDM related activities associated with regulatory inspections/audits for assigned studies.

Responsible for compliance to Trial Master File requirements relating to DM Vendor - Support Senior Leaders to oversee CDM Vendor performance, depending on relevant model. Review, assess and manage DM Vendor delivery against KPIs, budget and overall performance.

Oversees vendor timelines and milestone deliverables for the assigned studies. Ensures DM Vendor billing is accurate and gives recommendations for payment of invoices.

Drive adherence to AZ CDM standards and processes for data quality and consistency of data capturing for assigned studies.

Demonstrates willingness to take on ad-hoc activities consistent with current CDM work experience.

Ensures relevant training is completed prior to performing tasks.

Mentoring junior Clinical Data Management colleagues - Performs CDM related ad-hoc requests from Line Manager.

Essential Skills/Experience:

Minimum of university or college degree in the life sciences or related subject, pharmacy, nursing or equivalent relevant degree

Minimum of 5 years of Clinical Data Management and experience in the Biotech/Pharma/CRO industry

Demonstrated current understanding of Good Clinical Data Management Practices (GCDMP) and relevant regulatory requirements

Demonstrated experience of clinical databases, different clinical data management systems and electronic data capture (EDC)

Demonstrate understanding and experience in query management process and reconciliation activities

Ability to work flexibly on simultaneous projects and proactively manage time to meet own deadlines.

Excellent written and verbal communication skills

Ability to work in a global team environment

Excellent organizational analytical skills and high attention to detail

Desirable Skills/Experience:

Demonstrated knowledge of clinical and pharmaceutical drug development process

Demonstrated understanding of clinical data system design / development / validation and system interoperability.

Demonstrated ability to work effectively with external partners

Understanding of database structures, programming languages, data standards (CDISC) and practices as they apply to CRF design, database development, data handling and reporting

Knowledge of SQL or SAS software

Experience leading clinical studies as Data Management Lead

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Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

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As an engineering graduate, you could be working on a wide range of exciting projects – what you work on will depend on your team, but wherever you are, you'll be helping to shape technology that supports over 200,000 colleagues and 40 million customers around the world.

Here's a taste of what you could get involved in:

• Help HSBC take a digital-first approach – developing new products and services, enhancing existing ones, and providing software support that keeps our global teams moving.
• Play a key role in designing, testing, and maintaining the systems that power how we work, drive efficiencies, and enable change across HSBC.
• Collaborate with engineers, architects, and other colleagues across the business to understand what's needed and help set the direction for new products and services.
• Build solutions that meet specific business needs, are easy to use and support, and can be deployed at scale across the globe.
• Get hands-on with the latest code frameworks, programming languages, and AI tools, while learning modern DevOps practices – blending software development and operations to deliver faster and better solutions.
• Help monitor performance, spot and solve technical issues, and recommend improvements to keep everything running smoothly.

Over two years, you'll take part in a mix of technical training, skills coaching, and hands-on experiences that will help you grow as an engineer.

Technical development: From classroom sessions to self-led learning and exciting hackathons, you'll get the chance to explore new coding languages, tech stacks, and engineering best practices. Certifications that count: You'll have funding to complete industry-recognised certifications in platforms that are relevant to your role, with opportunities for further training in other languages and tools supported by your team.

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You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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This role is ideal for someone who blends program leadership, systems-building obsession, technical fluency , and who thrives in fast-moving, ambiguous, and mission-driven environments.

As a Program Manager, you will:

Serve as the contractual and internal program lead across a large-scale public sector engagement, integrating multiple sub-efforts under one umbrella (e.g., data pipelines for computer vision, software deployments for GenAI solutions) Own relationships with senior government stakeholders and ensure that we meet contractual obligations, performance metrics, and reporting requirements Own relationships with subcontractors to ensure successful delivery of the prime contract Lead formal engagements such as contract reviews, customer program syncs, performance assessments, and reporting cycles Lead and supervise a team of 3-4 delivery managers who run day-to-day customer engagement efforts Oversee a technical delivery team that will drive product roadmap alignment that adapts evolving customer needs

Must haves:

An active TS/SCI clearance 10+ years professional experience, ideally managing complex technical programs for DoD or national security customers A proven ability to lead large, cross-functional efforts across delivery, contracts, and customer teams A healthy obsession with establishing and driving adoption of programmatic systems and processes; plus the ability to exert influence and manage associated change Familiarity with FAR-based contracts and program structures like IDIQs, task orders, and OTAs Strong business acumen with the ability to manage performance metrics, contract deliverables, and program budgets A track record of high ownership in ambiguous environments Excellent written and verbal communication skills , especially with senior government stakeholders Deep curiosity about agentic AI and its application to homeland layered defense A willingness to travel up to 25% of the time

We have a diverse team with a variety of skill sets, many have:

Proficiency in Python, SQL or other programming languages A proven track record in B2B + B2G client facing roles and expanding client relationships Prior experience delivering technical solutions to government customers Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

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As a Solutions Engineer, you will be part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

Key responsibilities include:

• Becoming an expert on the end-to-end of Scale Products
• Creating tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level
• Partnering with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer
• Integrating and ingesting a variety of external datasets to solve government use cases
• Interacting with customers on a day-to-day basis to understand their pain points and design solutions
• Working with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understanding public sector mission sets and strategic objectives to better showcase Scale's products

Ideal candidates will have:

• A strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills, ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work.

The Okta Technical Account Management (TAM) Team

The TAM team empowers Okta customers to deliver secure, scalable, and transformative identity solutions by acting as their trusted identity coach.

We drive lasting success through elevated technical maturity, proactively guiding their identity decisions and long-term identity vision.

We guide a customer’s strategy for customer identity, workforce identity, and security posture while driving value in Okta’s suite of products and, ultimately, retention at contract renewal.

The Auth0 Technical Account Manager Opportunity

This is an exciting opportunity for an experienced technical expert to join the Okta Japan TAM team.

This role specialises in the Auth0 platform, which is an easy-to-implement, adaptable authentication and authorization platform for Consumer and SaaS applications.

You will be working with a portfolio of well-known brands on their Auth0 implementations as an identity coach.

Building close relationships with technical stakeholders from early in the customer lifecycle, you will learn their business, goals, challenges and technical landscape,

ensuring Okta delivers on a long-term strategic plan to help solve these challenges and realise the value of their Auth0 platform investment,

while continuing to evolve to solve new objectives and improve security posture.

Responsibilities

Serve as a trusted Identity Coach, guiding customers to achieve their objectives through timely technical guidance, advice, enablement, and best practice sharing.

Learn our customers’ business, gaining insights into their strategies, goals, and challenges, through the lens of identity.

Build and nurture long-term relationships with stakeholder personas from developers, engineering leads, app builders, and product owners, through to C-level exec, evolving customers into Auth0 champions.

Conduct quarterly customer meetings with executives to recap past value, show progress on current initiatives and future state or roadmap items.

Conduct ad hoc customer meetings with technical practitioners on identity solutions, technical guidance and best practices.

Monitor customer health, satisfaction, and engagement, proactively addressing risks and escalations.

Collaborate with stakeholders to develop strategies to increase customer adoption, and uncover growth opportunities that will solidify Auth0 for the entirety of customer identity.

Analyse trends, identify areas for improvement, and take action to optimise customer outcomes.

Act as a product evangelist, educating customers on new features and alignment of roadmaps to enhance their experience.

Represent the voice of the customer, ensuring their needs and feedback shape the company’s approach.

Requirements

3+ years of total experience in information technology, with a Bachelor’s degree; or an advanced degree without experience; or equivalent experience.

Native-level Japanese proficiency with excellent communication and reading comprehension skills.

Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.

Familiarity with the following core CIAM areas or technical competencies:

Technologies and protocols to support authentication and authorization (OAuth, OpenID Connect, and SAML 2.0)

Consuming APIs and HTTP request methods

High-level understanding of custom consumer and SaaS apps, both web and native

Passion for learning cybersecurity principles for IT and consumer applications

Experience with SaaS/PaaS/cloud-based services, driving their adoption, integration, and ongoing use

Basic knowledge of software development lifecycle, interest in programming languages, and application builder practices

A customer-first mindset with the energy and problem-solving skills to address technical challenges and achieve customers' business and technical objectives

Ability to manage multiple projects simultaneously, perform customer research, generate reports, and analyse data.

Strong presentation and whiteboarding/diagram skills

Excellent communication skills with the ability to set expectations and communicate goals and objectives with customers at various levels, from a developer to C-level exec

Ability to influence customer behaviour & health metrics across a portfolio of customers

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You will be responsible for owning functionality and scalability features by taking responsibility from inception to deployment, upholding our high engineering standards and bringing consistency to the codebases, infrastructure, and processes you will encounter.

We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow.

This role will be based in our Vancouver Office, which is a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require 3 days per week in the office - Monday, Wednesday, and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Own functionality and scalability features by taking responsibility from inception to deployment.
• Be responsible for full software development lifecycle - design, development, testing, operating in production.
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.

Requirements:

• 7+ years of professional experience in a software engineering role or equivalent experience.
• Experience building and designing scalable backend systems.
• Experience working with SQL or NoSQL databases.
• Experience working with backend programming languages (Java, Kotlin, Python).
• Familiarity with software engineering development cycles.
• Ability to hold yourself and the team to high standards.
• Strong communication and interpersonal skills.
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English).

Bonus points:

• Experience collaborating with experts in product, design, and operations.
• Familiarity with functional programming languages.
• Experience driving initiatives at a broader level across an organization or company.
• Strong writing skills.
• Proactive approach.

Compensation: The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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Requirements:

• 3+ years of experience working as a software engineer
• Experience creating libraries and tools for engineers and operations
• Experience building and designing scalable backend systems
• Experience working with SQL or NoSQL databases
• Familiarity with software engineering development cycles
• Experience working with backend programming languages (Java, Kotlin, Python)
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking

Bonus points:

• Experience collaborating with experts in product, design, and operations
• Familiarity with functional programming languages
• Strong writing skills
• Proactive approach

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In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

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Our engineering culture values collaboration and building great teams. You will work closely with developers, game studios, and other partners to find opportunities and address challenges towards providing a more rich experience for players while gaming and engaging with online communities.

Key Responsibilities:

• Design, build, and maintain features that help users connect and make friends through gaming on our platform, across desktop and mobile.
• Engage with developers, game studios, and other partners to find opportunities and address challenges towards providing a more rich experience for players while gaming and engaging with online communities.
• Collaborate with Engineers, Designers, Product Owners, and Data Scientists to build engaging, fun, and trusted experiences, while experimenting and iterating on ideas that enhance user interactions.
• Partner with our Content, Marketing, and ML teams to improve ranking and discovery systems, enabling users to find meaningful connections and relevant content.
• Build innovative features that help users discover new friendships and deepen existing ones, creating a trusted and welcoming environment.

Requirements:

• 8+ years of experience as a software engineer.
• Experience with React/TS, Python, or other modern programming languages.
• A track-record of shipping incremental and delightful features that improve the overall user experience.
• Comfortable switching between different technical stacks and learning new ones.
• Enjoy collaborating with product, design, and other stakeholders.
• Take a holistic approach to problem-solving.
• Experience leading projects, gathering requirements, supporting partners, and mentoring others.
• A Discord user who wants to make the product better!

Bonus Points:

• Experience working on a mobile native stack (iOS/Obj-C/Swift), Android (Java, Kotlin)
• Experience integrating or deploying on Steam (or similar platforms)
• Experience using Epic Games Online Services, Steamworks API, Playfab

US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits.

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We're looking for a talented Software Engineer to join our internship program. As a member of our team, you'll have the opportunity to build solutions that drive direct business impact and shape our long-term technical vision with a high-quality bar.

Responsibilities:

• Build products, services, and infrastructure that scale with speed and intention
• Work in partnership with your mentor and team to deliver high-quality solutions
• Learn and push the frontier of providing the best financial software experience to help companies grow

Requirements:

• Graduating from a BA/BS program in 2026
• Computer Science or Computer Engineering or Software Engineering degree
• Availability to participate in the program from April to December 2026
• Strong knowledge of CS fundamentals
• Strong communication, interpersonal skills, and eagerness to learn from others
• Experience working with backend programming languages (i.e. Java, Kotlin, Python)
• Experience working with SQL or NoSQL databases

Bonus points:

• Experience collaborating with experts in product, design, and operations
• Familiarity with functional programming languages
• Strong writing skills
• Proactive approach
• Experience with corporate financial systems or concepts
• Experience with cloud computing systems & services

Where you'll work:

This role will be remote.

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As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder.

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers
• Tune and polish features to a high degree of excellence
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Key responsibilities include:

• Managing the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery
• Translating ambiguous business questions into tractable data analysis projects
• Interpreting and investigating data and statistical questions that arise through the delivery of client work
• Collaborating with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables
• Serving as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle
• Monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed

To be successful in this role, you will need to have a strong background in analytics and project management, with experience leading cross-functional teams and managing client relationships. You will also need to have excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.

In addition to your technical skills and experience, you will need to be able to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar.

If you are a motivated and experienced professional looking to join a dynamic team and contribute to the development of cutting-edge analytics solutions, please apply today!

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The Test and Evaluation team at Anduril works across the entire spectrum of products and business lines, as well as all flight operations and test range management. Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more. In short, if it involves test, we support it.

If you are interested in working in an extremely innovative and fast-paced environment, where your work directly makes an impact and difference in the products that are fielded, this is a fantastic opportunity.

Responsibilities

• Plan and execute system level T&E of hardware and software with emphasis placed on resource planning, conducting ground and flight test, initial issue investigation, and process improvement/development.

• Act as lead or supporting test engineer for missile or weapon systems to include development, certification and integration test of subsystems to the AUR configuration.

• Collect test data and perform initial data analysis for the system under test.

• Work closely with program management and other engineering departments to develop requirements, and discuss test results to include collected data and observations.

• Assist in the creation of developmental test plans, test cards, technical updates and test reports.

• Conduct ground and flight testing at private and government-owned test ranges.

• Work in a safe manner in accordance with established operating procedures and standard practices.

Requirements

• A bachelor's degree in engineering or a related technical discipline from an accredited institution. May substitute equivalent engineering experience in lieu of education.

• 5+ years of experience as test conductor/director for developmental aircraft, weapons, or missile systems.

• Must have a good understanding of engineering concepts, principles, codes, and theory; experience demonstrating a broad application of those concepts; and expanding knowledge of principles, concepts, theory, and practices in related technical specialties.

• Test engineering experience working with developmental weapon or missile systems on manned and/or unmanned aircraft to include requirements development, planning, execution, and reporting.

• Previous experience with and/or current working knowledge of MIL-STD-8591, MIL-STD-2088, MIL-STD-1553, MIL-STD-1760, AS8775, AS5653, etc.

• Experience integrating and conducting test with suspension, arming, and release equipment.

• Previous expertise and working knowledge of the National Airspace System and UAS operating rules and regulations thereof.

• Must possess the ability to understand new concepts quickly; apply them accurately; organize, schedule, and coordinate work phases; and, determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.

• Strong computer and documentation experience.

• Must have strong communication (written and verbal) and interpersonal skills.

• Ability to work independently and as part of a team; able to perform complex tasks in one or more engineering areas.

• Able to work extended hours as required.

• Ability to travel as required for test planning and execution.

• Bias for action – if you see a problem, you want to solve and fix it.

• Ability to obtain and maintain a U.S. Top Secret-Level security clearance.

Preferred Requirements

• Experience working with the Department of Defense (DoD).

• Prior experience with software code/script building using programming languages such as Go, Java, C++, Python, JavaScript, etc.

• Prior experience with Linux based systems and command line.

• Working Knowledge with COTs Small UAS autopilot and mission planning software.

• Experience working with manned aircraft personnel and familiar with aviation terminology.

• Experience with weapon or tactical datalinks.

• Experience with multiple different propulsion systems to include air and non-air breathing.

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Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities:

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are:

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory , you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements:

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)
• Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

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In this role, you will be responsible for managing the end-to-end delivery of analytics projects, collaborating with cross-functional teams, and serving as the primary point of contact for clients. You will also be responsible for monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed.

To be successful in this role, you will need to have a strong background in healthcare analytics, excellent project management skills, and the ability to communicate complex analytical concepts to non-technical audiences. You will also need to be proficient in data analysis tools and programming languages such as SQL, Python, or R.

At Komodo Health, we are committed to using AI strategically to solve problems and generate new ideas. We expect every team member to integrate AI into their daily work, from summarizing documents to automating workflows and uncovering insights.

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application.

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You'll collaborate with industry leaders in mechanical, electrical, RF, FPGA, and functional programming software design to deliver the next generation of EW capabilities to our end users. You'll have the opportunity to tap into many decades of collective experience in the NixOS ecosystem and work with top minds in the field.

In addition to your technical expertise, you'll be a strong communicator and team player who can effectively collaborate with cross-functional teams to achieve our goals. If you're passionate about NixOS, embedded systems, and software development, we encourage you to apply for this exciting opportunity.

The salary range for this role is $129,000-$171,000 USD, and highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, and relocation assistance.

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Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.

The ideal candidate has 7+ years of experience building production-grade software applications, including both backend services and modern web frontends. They should have strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript).

In addition to technical skills, the successful candidate will be a curious and creative problem-solver who is passionate about building user-facing applications that turn complex data into intuitive experiences. They should be able to take ownership of complex systems end-to-end, from design through deployment and iteration.

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

itertools[''] -> Be Curious at Your Core itertools[''] -> Act Like an Owner itertools[''] -> Empower Employees itertools[''] -> Deliver Best-in-Class Client Experiences itertools[''] -> Achieve More Together

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

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In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Benelux across various industries.

Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class.

You will guide your team and be involved with opportunities to enhance your team's effectiveness.

Key responsibilities include:

• Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects
• Build a collaborative culture within a rapid-growth team
• Support increased return on investment of Solutions Architect involvement in sales cycles
• Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends
• Promote a solution and value-based selling field-engineering organisation

To be successful in this role, you will need:

• 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
• Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region
• Ability to elevate the engagement with a track record of driving large transactions and high growth customers
• Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach
• Proven track record of transformational success and delivery of customer value
• Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships
• Experience in complex strategic accounts generating +$5M ARR
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to improve efficiency

Required skills include:

• Leadership
• Sales
• Pre-sales
• Solutions architecture
• Customer relationship management
• Data-driven decision making
• AI
• Cloud software

Preferred skills include:

• Programming languages (e.g. Python, Java)
• Data analysis tools (e.g. SQL, Tableau)
• Cloud platforms (e.g. AWS, Azure)

If you are a motivated and experienced professional looking to take on a challenging role, please submit your application.

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Your responsibilities will include driving the design and implementation of new features, creating high-quality, maintainable code, and collaborating with other engineers. You'll also work cross-functionally with other teams, including data science, design, product, marketing, and analytics.

To succeed in this role, you'll need 4+ years of development experience in software engineering, proficiency in at least one JVM programming language, and experience with major frameworks like Spring, Spring Boot. You'll also need hands-on experience with SQL databases, cloud environments, and streaming and messaging technologies.

This is a full-time position with a salary range of $199,000-$244,000, plus equity and benefits. The role will be hybrid from our Vancouver office, with 2 days a week in the office required.

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Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure.

Key responsibilities include:

• Building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Developing tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

To be successful in this role, you will need:

• 2+ years of professional software development experience, or alternatively a PhD degree.

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating backend systems.

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

• Self-driven and passionate with a strong focus on delivering impact through team collaboration.

• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.

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Key Responsibilities:

• Partner with Account Executives and Account Managers to drive complex, multi-threaded sales cycles with strategic prospects.
• Create and present customized product demonstrations of Pave's End to End Compensation Management suite to prospective customers.
• Create and run compelling proof of concept trials with potential customers by defining success criteria and helping them achieve those goals.
• Conduct technical discovery sessions to uncover business pain points, technical requirements, and success criteria.
• Create and present technical proposals, proof-of-concept implementations, and ROI analyses.

Requirements:

• 5+ years of experience in sales engineering, solutions consulting, or similar.
• Strong understanding of enterprise SaaS operating systems (preferably experience with HRTech software).
• Proficiency in integrating and troubleshooting RESTful APIs and webhooks in client environments.
• Proficiency in at least one programming language (Python, Java, JavaScript, etc.).
• Prior experience in technology sales with start-up experience preferred.
• Track record of consistently meeting and exceeding revenue targets for your organization's Go-To-Market function.

Total Rewards Package:

• Meaningful equity
• Best-in-class medical, dental, and vision coverage
• Unlimited PTO
• Region-specific benefits designed around your life , not just your role
• Targeted cash compensation for this role: Tier 1: $133,000 (Base) + $57,000 (Variable) = $190,000 OTE; Tier 2: $119,700 (Base) + $51,300 (Variable) = $171,000 OTE; Tier 3: $113,000 (Base) + $48,500 (Variable) = $161,500 OTE

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We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads.

The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.

Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.

The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.

As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.

If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.

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You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You'll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter.

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

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Collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

You will take an engineering approach in leading technical initiatives for automating network engineering efforts to guarantee the reliability of the global Elastic infrastructure. You will grow our global Platform infrastructure to meet the increasing scaling demands by developing and maintaining software, codebases, tooling and automations.

You will collaborate in an environment with an inclusive approach, and focus on operational perfection which uplifts others. Prevent repeated customer impact in response to major incidents and prioritized problem management. Our on-call rotation is spread well, and we address complex customer concerns too.

You will participate in coding, innovating technical designs, crafting solutions, improving resilience, and prioritizing security, bug fixes, and features. For example, debugging Azure Networking for Elastic Cloud Serverless is part of our efforts, and we want your experience to contribute to a truly exceptional customer experience!

Success and lessons of experiences from striving for 'progress not perfection' in the name of Platform reliability. We want to hear about your customer-first approach in solving operational problems for both today and the future.

Passion for developing solutions that involve inclusive communication methods to grow and strengthen partner and team relationships. Examples of working in distributed teams or working remotely is desirable.

You have designed and built a SaaS product in a public cloud ideally built using Infrastructure-as-Code tooling such as Crossplane or Terraform

You have built Kubernetes-at-scale infrastructure, ideally across multiple cloud providers, and the vital automation to support it.

You have written product features or functions in Golang or other programming languages.

You have worked with containerized services (such as Docker).

You have proven results in leading and improving cross-team engineering initiatives.

You have experience in system administration with professional skills in Linux on distributed systems at scale.

You have diagnosed or designed, implemented and created solutions with the Elastic Stack.

You are experienced in a self-organizing and sharing in a globally distributed team environment.

You strengthen team members in bringing out the best of each other by uplifting others with coaching and mentoring.

Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is $189,800-$232,900 USD. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.

Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.

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Your responsibilities will include:

• Serving as a trusted Identity Coach, guiding customers to achieve their objectives through timely technical guidance, advice, enablement, and best practice sharing
• Learning our customers' business, gaining insights into their strategies, goals, and challenges, through the lens of identity
• Building and nurturing long-term relationships with stakeholder personas from developers, engineering leads, app builders, and product owners, through to C-level exec, evolving customers into Auth0 champions
• Conducting quarterly customer meetings with executives to recap past value, show progress on current initiatives and future state or roadmap items
• Conducting ad hoc customer meetings with technical practitioners on identity solutions, technical guidance and best practices
• Monitoring customer health, satisfaction, and engagement, proactively addressing risks and escalations
• Collaborating with stakeholders to develop strategies to increase customer adoption, and uncover growth opportunities that will solidify Auth0 for the entirety of customer identity
• Analysing trends, identifying areas for improvement, and taking action to optimise customer outcomes
• Acting as a product evangelist, educating customers on new features and alignment of roadmaps to enhance their experience
• Representing the voice of the customer, ensuring their needs and feedback shape the company's approach

The ideal candidate for this role has experience in either customer business-facing or technical delivery. They exhibit both interest and adaptability to both technical and business discussions, including agility in conversation and intelligent follow-through for customers. They are able to showcase an understanding of the TAM role through concrete examples of problem-solving strategies and tactics often faced in the role.

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This position requires a blend of systems engineering expertise, hands-on technical proficiency, and a deep understanding of complex test environments. You will be responsible for defining the architectural roadmap, integrating cutting-edge sensors, data acquisition systems, and telemetry solutions, and ensuring the robust operation of our mission-critical test assets.

Responsibilities

• Architectural Design & Development:
• Lead the architectural design, development, and evolution of comprehensive instrumentation systems and associated range infrastructure for complex test and evaluation systems.
• Define system requirements, specifications, and interface control documents (ICDs) for new and upgraded range capabilities.
• Develop long-term architectural roadmaps, technology insertion plans, and strategic upgrades to maintain state-of-the-art range capabilities.
• Instrumentation Systems Engineering:
• Select, integrate, and validate various instrumentation technologies including, but not limited to: telemetry (RF/Optical), radar, optics (high-speed cameras, IR, EO), GPS/PNT, environmental sensors, and acoustic arrays.
• Design and implement robust data acquisition (DAQ), processing, storage, and analysis pipelines to support real-time and post-test data needs.
• Develop and manage calibration procedures and ensure accuracy and traceability of all instrumentation.
• Range Infrastructure Development:
• Design and oversee the implementation of critical range infrastructure components, such as fiber optic networks, RF distribution systems, power distribution, communication systems, timing and synchronization, and environmental controls for instrumentation shelters.
• Perform RF Survey analysis to ensure noise floor is within desired tolerance ranges for various test sites and environments.
• Ensure network connectivity, cybersecurity, and data security for all instrumentation systems across the range.
• Coordinate with facility engineers and construction teams for physical infrastructure modifications and deployments.
• Test & Operations Support:
• Collaborate closely with test directors, mission planners, range operators, and data analysts to understand requirements and provide technical solutions.
• Provide expert support during testing, anomaly resolution, and post-test data analysis.
• Ensure compliance with all relevant range safety, security, environmental, and regulatory requirements.
• Technical Leadership & Mentorship:
• Provide technical leadership, guidance, and mentorship to junior engineers and cross-functional teams.
• Conduct trade studies, feasibility analyses, and risk assessments for proposed architectural changes and technology investments.
• Prepare detailed technical reports, presentations, and documentation for internal stakeholders and external customers.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Aerospace Engineering, Systems Engineering, Computer Science, or a related technical field.
• 15+ years of progressive experience in instrumentation systems architecture, leadership, or complex range infrastructure development, preferably within the defence or aerospace industry.
• Demonstrated experience in systems architecture development for complex real-time systems.
• Strong understanding of data acquisition (DAQ) principles, telemetry systems (e.g., IRIG 106), RF systems, and various sensor technologies.
• Proficiency with system modeling tools (e.g., SysML, MATLAB/Simulink), CAD software, and/or programming languages (e.g., Python, C++).
• Extensive experience in the design, development, integration, operation, and maintenance of test range infrastructure and instrumentation supporting high-speed weapons systems and Unmanned Aerial Vehicles (UAVs)/drones.
• Experience with network design, distributed systems, and real-time data processing.
• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to diverse audiences.
• Ability to work independently, manage multiple priorities, and lead technical efforts within a team environment.
• Ability to travel as required to multiple test locations CONUS and OCONUS.
• Must be able to obtain and maintain a U.S. Security Clearance (Secret or Top Secret preferred).

Preferred Qualifications

• Master's or Ph.D. in a relevant engineering discipline.
• Experience with specific missile test range instrumentation, such as high-speed video systems, precision timing systems, advanced radar tracking, or target scoring systems.
• Knowledge of cybersecurity best practices and implementation for critical infrastructure and classified systems.
• Familiarity with industry standards (e.g., IRIG, MIL-STD-1553, ARINC 429).
• Project management experience (PMP certification a plus).
• Hands-on experience with hardware design, prototyping, and testing.

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Responsibilities:

• Lead projects from concept, design, implementation, to rollout, ensuring the highest quality and performance.
• Identify opportunities to enhance ranking capabilities by diving deep into our platform and understanding the needs of our customers.
• Design and develop applied machine learning models for modeled personalization, game taxonomy, and more, from ideation to production deployment.
• Collaborate with data scientists, product managers, and backend software engineers.
• Mentor junior team members, share knowledge, and contribute to the technical growth of the team.
• Provide guidance on machine learning best practices and methodologies.
• Conduct A/B tests and experiments to iterate and fine-tune algorithms and models.
• Stay updated on state-of-the-art algorithmic techniques and recognize promising innovations, adapting them to Reddit's unique platform and community.

Minimum Qualifications:

• 7+ years of experience in a relevant industry or academic background, preferably in a quantitative/modeling or highly scalable computing environment.
• Prior experience with personalized feed ranking.
• Proven track record of delivering complex machine learning projects from conception to deployment, preferably in real-world applications.
• Ability to lead and mentor machine learning engineers or data scientists.
• Strong communication skills to collaborate effectively with cross-functional teams and stakeholders.
• Demonstrated ability to innovate and stay updated with the latest advancements in machine learning and AI.

Preferred Qualifications:

• Experience of orchestrating complicated data pipelines and system engineering on large-scale datasets.
• Proficiency with programming languages and statistical analysis.
• Prior experience with Sequence Modeling, Reinforcement Learning, or Transformer Architecture.
• Experience in Bayesian methodology and experimentation.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.

Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is $230,000-$322,000 USD.

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To be successful in this role, you will need 5+ years of experience in ML infrastructure, including model training and model deployments, hands-on experience with ML optimization, deep experience with cloud-based technologies, and proficiency with common programming languages and frameworks of ML. You should also have strong organizational and communication skills, experience working with graph databases and graph neural networks, and a deep understanding of the machine learning development lifecycle.

In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

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The ideal candidate will have a proven track record of significantly improving Overall Equipment Efficiency through sophisticated automation enhancements and successful collaboration on new product development. If you are someone who has an analytical mindset, a relentless drive for continuous improvement in OEE, and excellent collaboration skills to work effectively across teams, then this role is for you.

This role will be based temporarily at Santa Ana, CA for a 3-month training period before transitioning to Asheville, OH.

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You will be tasked with stabilizing, optimizing, and making them exceptionally robust. Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

The successful candidate will have 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3. They will have proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems, including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

Key responsibilities will include stabilizing and optimizing existing Oracle Fusion ERP integrations, architecting and building new enterprise integrations using Oracle Integration Cloud, owning the integration lifecycle, ensuring data integrity, collaborating and influencing with cross-functional teams, and leveraging modern Oracle Cloud tools.

The ideal candidate will have excellent SQL skills, a strong command of XSLT, XPath, and complex data mapping, demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services, and experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems, the successful candidate will be highly motivated, with a passion for delivering high-quality solutions and a commitment to continuous learning and improvement.

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The ideal candidate possesses deep expertise in classical optimization algorithms, robust Python programming skills, and a solid foundation in data modeling. Experience with developing hybrid quantum optimization solutions is a plus.

You will leverage state-of-the-art, GenAI-powered development tools such as Claude Code to accelerate solution development and enhance our optimization software. This role demands creative problem-solving, a self-starter mentality, and the ability to rapidly apply algorithmic theory and mathematic modeling to practical, real-world optimization challenges.

You will be designing, implementing, and deploying optimization algorithms and services that integrate seamlessly into larger defense systems, working across various platforms (on-prem, cloud, and hybrid quantum computing environments).

Familiarity with modeling linear and non-linear optimization problems, rapid prototyping, integrating optimization solutions into existing architectures, leveraging APIs, and utilizing open-source tools will be crucial.

If you thrive in a dynamic environment that values creative problem-solving, love writing code, excel as both an individual contributor and team player, are eager to learn, and bring a can-do attitude, this role is for you.

Key Responsibilities:

• Design, develop, and implement highly efficient optimization algorithms and software solutions to solve challenging problems in areas such as resource allocation, scheduling, routing, mission planning, control systems, and supply chain logistics.

• Apply classical optimization techniques (e.g., linear programming, mixed-integer linear programming, combinatorial optimization, network flow, dynamic programming, heuristics, metaheuristics) to model and explore novel approaches.

• Utilize GenAI tools (e.g., OpenAI Codes, Claude Code, GitHub Copilot) to rapidly prototype, refine, and test algorithmic solutions, improving development velocity and code quality.

• Develop robust data models and efficient data pipelines to support complex optimization problems, ensuring data integrity and efficient processing for algorithmic inputs and outputs.

• Collaborate with multidisciplinary teams (software engineers, data scientists, domain experts, product managers) to integrate optimization engines and services into larger defense systems and platforms.

• Perform rigorous testing, validation, and performance analysis of optimization solutions, ensuring scalability, reliability, and accuracy under diverse operational conditions.

• Participate actively in the entire Software Development Lifecycle (SDLC) from requirements gathering and design to deployment, monitoring, and maintenance.

• Support Anduril- and customer-funded R&D efforts, contributing to technical documentation, presentations, and patent applications.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, Applied Mathematics, Operations Research, or a related quantitative field.

• 3+ years of professional experience in software development with a dedicated focus on optimization, algorithmic problem-solving, or operations research.

• Experience solving optimization problems in defense, transportation, supply chain, logistics, network optimization, smart grids or similar.

• Expert proficiency in Python for scientific computing and robust software development.

• Strong theoretical and practical understanding of classical optimization algorithms (e.g., linear programming, mixed-integer linear programming, constraint programming, network flow, dynamic programming, heuristics, meta heuristics).

• Hands-on experience with optimization libraries and commercial/open-source solvers (e.g., SciPy Optimize, PuLP, CVXPY, Gurobi, CPLEX, OR-Tools, GEKKO).

• Solid experience with data modeling, data structures, and algorithms to efficiently prepare, process, and manage data for optimization problems.

• Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

• Proficiency in using numerical computing libraries such as NumPy, SciPy, and Pandas.

• Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing.

• Ability to develop, test, and deploy software effectively on Linux-based systems.

• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

• Experience with Git version control, build tools, and CI/CD pipelines.

• Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment.

• Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences.

Preferred Qualifications:

• Master's or Ph.D. in Computer Science, Applied Mathematics, Operations Research, or a closely related quantitative field.

• Familiarity with or a strong interest in quantum optimization algorithms, quantum computing concepts, or quantum-inspired heuristic approaches.

• Experience with D-Wave’s quantum annealing platform is a plus.

• Experience with performance-critical programming languages such as C++ or Java.

• Experience with cloud platforms (e.g., AWS, Azure, GCP) for deploying scalable optimization solutions or high-performance computing (HPC) environments.

• Prior experience in defense, aerospace, logistics, supply chain management, robotics, or manufacturing optimization domains.

• Familiarity with integrating machine learning models with optimization techniques (e.g., prescriptive analytics, reinforcement learning for optimization).

• Excellent communication skills with the ability to articulate complex technical concepts, present findings, and influence technical direction across diverse teams.

• Willingness to travel up to approximately 10%.

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Your responsibilities will include leading teams of Haskell developers to implement high-performance, high-assurance software systems, participating in EW technology roadmapping, software architecture, and holistic design review processes, and building teams to scale the execution of our proven FP-based software development approach.

To be successful in this role, you'll need experience building and leading teams dedicated to the functional programming approach, eligibility to obtain and maintain an active U.S. Top Secret SCI security clearance, and the ability to relocate to and work in person in our RF laboratory in Orange County, California.

Preferred qualifications include experience working with typed functional programming languages, such as Haskell, Scala, F#, OCaml, or Rust, experience with MATLAB, especially C code generation, experience with Nix/NixOS, experience with Linux kernel module development, experience with graphics programming, and experience with FPGA development.

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Key responsibilities include building a broad range of test capabilities across the manufacturing value stream, from system level checkouts and acceptance testing to key component level in-process validation. You will also develop, execute, and manage test ecosystems to de-risk hardware and ensure products meet target reliability levels and ultimate design intent.

As a Manufacturing Test Engineer, you will perform hands-on and data-driven root cause analysis of electromechanical subsystems using structured problem-solving methodologies. You will design and implement semi-automated testing equipment/protocols for subsystem characterization and reliability/environmental testing.

Collaboration with the design/systems team throughout product development cycles is essential, as is maintaining ownership of test deployment activities in production, overseeing technician training, and burn-down bug fixes/improvements as needed.

In addition, you will produce and maintain testing logs/data, develop a library of error codes with troubleshooting logic/diagrams for fast issue resolution, and generate controlled test instructions that can be easily followed by technician teams in MES or other test execution systems.

Required qualifications include a Bachelor's degree in Electrical Engineering, Computer Engineering, or a related field, or equivalent work experience. At least 3 years of experience in a relevant field, preferably test design of electro-mechanical hardware in a manufacturing environment, is also required.

Experience developing full system test plans and knowing how to execute them on fast-paced product development timelines is essential. You should also have experience with programming/testing a wide range of sensors, actuators, and electrical components, as well as experience in hardware testing and automated test systems (LabVIEW, Test Stand, etc.).

Proficiency in programming languages such as Python, Matlab, SHELL, or others is also required, as is experience with computer hardware communication protocols: USB, Ethernet, RS232, RS485, PCIe, HDMI, CAN, etc.

Eligibility to obtain and maintain a U.S. Secret clearance is also a requirement.

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Required qualifications include experience building and leading teams dedicated to the functional programming approach, eligibility to obtain and maintain an active U.S. Top Secret SCI security clearance, and ability to relocate to and work in person in our RF laboratory in Orange County, California.

Preferred qualifications include experience working with typed functional programming languages, experience with MATLAB, Nix/NixOS, Linux kernel module development, graphics programming, and FPGA development.

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Responsibilities include designing and prototyping proof-of-concept solutions, collaborating with engineering teams at partner organizations, leading onboarding and testing, and representing the technical voice of the partner internally. You will also support escalations for complex or high-impact integrations and provide clear, actionable direction to resolve blockers quickly and sustainably.

Basic qualifications include a Bachelor's degree in Computer Science, Engineering, or a related field, 5+ years of software development experience, and hands-on coding expertise in one or more modern programming languages. Preferred qualifications include a deep understanding of the AdTech ecosystem and contributions to developer experience through tooling, documentation, or ecosystem standards.

Benefits include comprehensive healthcare benefits, 401k matching, workspace benefits for your home office, personal and professional development funds, family planning support, flexible vacation, and Reddit Global Wellness Days.

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In this role, you will specialize in improving and optimizing our ads auction and pricing mechanism which will have a direct impact on upleveling the utility for both our advertiser and user values. You will also have the opportunity to work on other org-wide strategic initiatives such as supply optimization and ad relevance, where you will drive and execute on Reddit’s vision to transform Reddit into an advertising platform that shows the right ads to the right users at the right time in the right context.

As a Staff Machine Learning Engineer in the Ads Marketplace Quality team, you will be an industry technical leader with domain knowledge in ads marketplace dynamics, auction and pricing, you will research, formulate, and execute on our mission to build end-to-end algorithmic solutions and deliver values to all the three-sided participants to our marketplace.

Responsibilities:

• Lead and oversee the strategy development, quarterly planning and day-to-day execution of initiatives related to ads marketplace, auction and pricing.
• Proactively further our understanding of marketplace dynamics and develop algorithms to improve the efficiency and effectiveness of our ads marketplace, auction and pricing.
• Oversee end-to-end ML workflows,from data ingestion and feature engineering to model training, evaluation, and deployment,that optimizes the ads marketplace efficiency.
• Be a mentor, lead both junior and senior engineers in implementing technical designs and reviews. Fostering a culture of innovation, technical excellence, and knowledge sharing across the organization.
• Be a cross-functional advocate for the team, collaborate with cross-functional teams (e.g., product management, data science, PMM, Sales etc.) to innovate and build products.

Required Qualifications:

• 8+ years of experience with industry-level product development, with at least 5+ years focused on data-driven, marketplace-optimization problem space at scale.
• Strong knowledge of ads marketplace optimization. Demonstrated experience architecting ads marketplace design, improving and optimizing ads auction and pricing mechanisms.
• Solid understanding of large-scale data processing, distributed computing, and data infrastructure (e.g., Spark, Kafka, Beam, Flink).
• Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries for feature engineering, model training, and inference.
• Proficiency with programming languages (Java, Python, Golang, C++, or similar) and statistical analysis.
• Proven technical leadership in cross-functional settings, driving architectural decisions and influencing stakeholders (product, data science, privacy, legal).
• Excellent communication, mentoring, and collaboration skills to align teams on a long-term vision for ads marketplace optimization.

Benefits:

• Comprehensive Healthcare Benefits
• 401k Matching
• Workspace benefits for your home office
• Personal & Professional development funds
• Family Planning Support
• Flexible Vacation (please use them!) & Reddit Global Wellness Days
• 4+ months paid Parental Leave
• Paid Volunteer time off

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You will work on projects that span technologies, systems, and processes where you will design, build, test, and ship great code every day. You will collaborate with multiple customers and stakeholders across Stripe to deliver value and debug production issues.

We're looking for someone with 2-12+ years of industry software engineering experience, who can write well-factored algorithms and has experience with commonly used data structures and algorithms. You should have hands-on experience contributing to or building large scale distributed systems, strong coding skills in any programming language, and strong collaboration skills.

Preferred qualifications include experience optimizing the end to end performance of distributed systems, focusing on the needs of our users, both internal and external, and holding yourself and others to a high bar when working with production.

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We are looking for a delivery architect that demonstrates visionary leadership by orchestrating and implementing Elastic solutions, generating customer business value from our products. Grouping responsibilities in the following areas:

Assess and Design

• Thoroughly analyze and understand customer business pain points and intricate technical challenges
• Gather requirements in complex enterprise customer environments
• Master Elastic solution architectural design on platforms integrating with other enterprise technologies
• Create and build out customer road maps
• Demonstrate technical authority by proficiently articulating complex technical solutions in clear language, effectively persuading the audience to embrace recommended best practices while presenting and delivering Elastic's optimal solutions.

Implement and Deliver

• Lead technology workshops that include hands-on mentoring, whiteboarding, and solution development
• Deliver outcome-based solutions
• Lead, hands-on-deploy (from data onboarding, configuration, visualizations, alerting), and seamlessly integrate Elastic products and APIs into intricate platform architectures, harnessing years of technical expertise
• Master data modeling, develop and optimize queries, tune and scale clusters, prioritizing fast search and analytics at scale
• Solve our customers’ most challenging platform, configuration, data and cyber security problems

Grow and Expand

• Orchestrate and implement capacity planning in mission-critical environments
• Perform technical audits, upgrades, platform migrations, and use-case expansion
• Work with and guide our customers along their ever-maturing Cyber journey

Influence and Collaborate

• Work closely with the Elastic Engineering, Product Management, and Support teams to identify feature enhancements, extensions, and product defects
• Engage with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns
• Be a mentor/coach for your fellow Elastic consultants
• Demonstrated ability to communicate to a variety of stakeholders up to the C-suite level

What You Bring Along

• Minimum of 5 years as a Consulting Architect or senior IT functional leadership experience
• History of working as a Consultant delivering professional services engagements
• Strong customer advocacy, relationship-building, presentation and communications skills
• Ability to lead meetings with project owners and C-level stakeholders.
• Ability to articulate the business value of an outcome-based delivery while being technically savvy and hands-on
• Demonstrated experience of technical leadership throughout project lifecycles
• Solid experience deploying Elastic Security solutions or similar domains (Splunk, Arcsight, IBM QRadar). Alternatively, at least 2 years experience working as a Security Analyst, preferably utilising SIEM or endpoint security applications in a Threat Detection and Response focussed role
• Knowledge of the MITRE ATT&CK framework and how it can be applied for Enterprise defence
• Fundamental understanding and experience of security tool capabilities
• Understanding and passion for cyber security and open-source technology
• Hands-on experience in on-prem systems and/or public/private cloud platforms like AWS, Azure, GCP, Openstack
• Hands-on experience in Linux
• Good understanding of networking, security, containerization, serverless, DevOps in system landscapes and infrastructure automation knowledge.
• Experience utilising programming or scripting languages in a corporate environment like Python, Javascript, Go or Chef/Puppet etc.
• Understanding of databases
• Ability and willingness to travel from time to time as required
• Comfortable working remotely in a highly distributed team

Bonus Points

• BS in Computer Science or related Information Security / Cybersecurity field
• Certifications and specialized training in Information Security and Cybersecurity
• Deep understanding of Enterprise cyber defence in large networks
• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• Experience working closely with a pre-sales organization in scoping the needs of Customers
• Experience with Statement of Work delivery
• Experience with both Agile and Waterfall methodologies
• Experience contributing to an open-source project or documentation
• Endpoint tool skills and experience ingesting network feeds into Elastic for security purposes
• Experience as a Software Engineer, System Administrator, or DevOps Engineer

Additional Information - We Take Care of Our People

As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.

We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave

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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.

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

About the Department

Cloudflare's Network Engineering Team builds and runs the infrastructure that runs our software. The Engineering Team is split into two groups: one handles product development and the other handles operations. Product development covers both new features and functionality and scaling our existing software to meet the challenges of a massively growing customer base. The operations team handles one of the world's largest networks with data centers in 190 cities worldwide and a couple of large specialized data centers for internal needs.

About the role

Cloudflare operates a large global network spanning hundreds of cities (data centers). You will join a team of talented network automation engineers who are building software solutions to improve network resilience and reduce engineering operational toil. You will work on a range of tools, infrastructure and services - new and existing - with an aim to elegantly and efficiently solve problems and deliver practical, maintainable and scalable solutions.

Responsibilities

• Join a team of talented network automation engineers who are building software solutions to improve network resilience and reduce engineering operational toil.
• Work on a range of tools, infrastructure and services - new and existing - with an aim to elegantly and efficiently solve problems and deliver practical, maintainable and scalable solutions.

Requirements

• BA/BS in Computer Science or equivalent experience
• 5+ years of proven experience in developing software components for network automation.
• Strong understanding of software development principles, design patterns, and various programming languages (like python and golang)
• Highly Proficient with modern Unix/Linux operating systems/distributions
• Experience in MySQL, Postgres, Clickhouse (or equivalent SQL language)
• Experience with CI/CD, containers and/or virtualization
• Experience with Observability systems like prometheus, grafana (or equivalents)

Bonus Points

• Knowledge of Networking engineering, with competencies in Layer 2 and Layer 3 protocols and vendor equipment: Cisco, Juniper, etc.
• Experience building and maintaining large distributed systems
• Experience managing internal and/or external customer requirements and expectations

What Makes Cloudflare Special?

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

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

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

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

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

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

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

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

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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As an Architect in SRE, you will drive the technical strategy, vision and outcomes for Twilio's Reliability Engineering organisation. You will define and lead solutions and initiatives that ensure Twilio products are reliable worldwide, and you will define standards and guide engineering teams on best practices for designing, building, and operating resilient systems.

This role is pivotal to Twilio's commitment to operational excellence, scalability, and pragmatic, large-scale systems design in the cloud.

Responsibilities:

• Partner with senior technical leaders across Twilio to set and communicate the reliability strategy, translating business goals into measurable outcomes.
• Influence company-wide architectural decisions while balancing long-term vision with near-term and compliance needs.
• Lead the design, implementation, and operation of scalable solutions and paved roads that enable reliable, high-traffic services;
• Influence company-wide architectural decisions to focus on availability, performance, resilience, and cost efficiency using Kubernetes, AWS, Terraform, and modern observability.
• Ensure integrity and quality across the service lifecycle; design fault-tolerant architectures, incident response, disaster recovery, and capacity/cost management.
• Collaborate with product and cross-functional teams to identify reliability risks and convert them into actionable designs, programs, and tooling.
• Establish and champion reliability practices and drive systemic improvements.
• Mentor and grow engineers and technical leaders
• Track and apply emerging SRE, cloud, and large-scale systems best practices; introduce pragmatic innovations that improve reliability at scale.

Qualifications:

• 15+ years of experience in Reliability Engineering, Software Engineering, DevOps roles with a focus on infrastructure, backend systems, and reliability, including as a principal/architect.
• Strong experience in driving strategic technical decisions and defining long-term technical vision.
• In-depth understanding of the role of Reliability Engineering in a large and diverse SaaS organisation.
• Experience driving cross-org technical architecture outcomes.
• Knowledge of cloud architecture, devops practices, and large-scale systems design with microservices.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Strong production experience, including operational management, scaling, partitioning strategies, and tuning for performance and reliability in high-scale environments.
• Hands-on experience with Kubernetes (e.g., EKS), deploying and managing stateful services, and cloud services like AWS.
• Proficiency in infrastructure-as-code tools such as Terraform or CloudFormation for automating infrastructure.
• Expertise in observability tools (e.g., Prometheus, Grafana, Datadog) for monitoring distributed systems and setting up alerting.
• Proficient in at least one programming language (e.g., Go, Python, Java) for building automation and tooling.
• Experience designing incident response processes, SLOs/SLIs, runbooks, and participating in on-call rotations.
• Experience running cross-functional post-incident reviews and driving improvements.
• Strong understanding of distributed systems principles, including consensus, durability, throughput, and availability tradeoffs.
• Proven track record of leading reliability improvements in data-intensive or mission-critical systems and collaborating with engineering teams.
• Excellent problem-solving, analytical, verbal, and written communication skills, with the ability to work in cross-functional and distributed environments.
• Demonstrated leadership in mentoring teams, influencing decisions, and balancing long-term objectives with short-term needs.
• Ability to influence and build effective working relationships with all levels of the organisation.

Desired:

• Specific experience owning and operating large AWS footprints.
• Knowledge of Kubernetes architecture and concepts.
• Experience with data technologies like Apache Kafka, AWS MSK, or similar for reliable streaming.
• Passion for building reliable products, with prior projects in high-availability systems

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Location: United States

Department: Security

Job Description:

This role can be based remotely anywhere in the United States. The Product Security Team's mission is to left-shift SDLC (Security Development Lifecycle) processes for all code written in Databricks (for customer use or supporting customers internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services.

You will be an individual contributor on the product security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing, and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident.

You will work with a global team, spread across various locations in the US and EMEA.

The impact you will have:

• Full SDLC support for new product features being developed in ENG and non-ENG teams. This would include threat modeling, design review, manual code review, exploit writing, etc.

• Work with other security teams to provide support for incident response and vulnerability response as and when needed.

• Work with the results of SAST tools to help evaluate and identify false positives and file defects for real issues.

• Work on DAST tools and related automation for auto-assessment and defect filing.

• Maintain the automation framework and add new features as needed to support different security compliances that Databricks may want to get into – FedRamp, PCI, HIPAA, etc.

• Prioritize security from a risk management perspective, rather than an absolute textbook version.

• Help develop and implement security processes to improve the overall productivity of the product security organization and the SDLC process in general

What we look for:

• 3-10 years' experience with the threat modeling process and ability to find design problems based on a block diagram of data flow.

• Solid understanding on at least two of the following domains: web security, cloud security, systems security, and applied cryptography.

• Proficient with one or more of programming languages (Python/Java/Scala/JavaScript) and ability to read code to identify security defects.

• Strong skills on scripting and automation on exploits.

• Fuzzing skills are good to have.

• Exploit writing skills are a positive and greatly required.

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 base 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 anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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

Zone 1 Pay Range: $190,000 - $261,250 USD

Zone 2 Pay Range: $171,000 - $235,200 USD

Zone 3 Pay Range: $161,500 - $222,100 USD

Zone 4 Pay Range: $152,000 - $209,000 USD

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Responsibilities:

• Build and manage massive-scale clusters to host, persist, train, and serve AI workloads with extreme reliability and performance.
• Design, develop, and extend an in-house container orchestration platform that achieves superior scalability, isolation, resource efficiency, and fault-tolerance compared to off-the-shelf solutions.
• Collaborate with research teams to architect and optimize compute clusters specifically for large-scale training runs, inference services, and real-time applications.
• Profile, debug, and resolve complex system-level performance bottlenecks, resource contention, scheduling issues, and reliability problems across the full stack.
• Own end-to-end infrastructure initiatives with first-principles design, rigorous testing, automation, and continuous optimization to support frontier AI compute demands.

Basic Qualifications:

• Deep expertise in virtualization technologies (KVM, Xen, QEMU) and advanced containerization/sandboxing (Kata, Firecracker, gVisor, Sysbox, or equivalent).
• Strong proficiency in systems programming languages such as C/C++ and Rust.
• Proven track record profiling, debugging, and optimizing complex system-level performance issues, with deep knowledge of Linux kernel internals, resource management, scheduling, memory management, and low-level engineering.
• Hands-on experience building or significantly enhancing distributed compute platforms, orchestration systems, or high-performance infrastructure at scale.

Preferred Skills and Experience:

• Experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads.
• Proven track record operating or designing large-scale AI training/inference clusters (GPU/TPU scale).
• Experience with custom runtimes, isolation techniques, or bespoke platforms for specialized AI compute.
• Familiarity with performance tools, tracing, and debugging in production distributed environments.

Compensation and Benefits:

$180,000 - $440,000 USD

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

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About the Role: The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. As an Application Security Engineer, you will partner closely with software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle
• Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers

Requirements:

• 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design

Preferred Qualifications:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations
• Experience building security tools, applications, and automated tools
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning
• Excellent communication skills, able to distill complex security topics for broad audiences
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity

Annual Compensation Range:

$300,000-$405,000 USD

Logistics:

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

How to Apply:

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

Note:

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.

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Your responsibilities will include evaluating and refining AI-generated code, ensuring it adheres to industry standards for efficiency, scalability, and reliability. You will also collaborate with cross-functional teams to enhance AI-driven coding solutions, ensuring they meet enterprise-level quality and performance benchmarks.

To succeed in this role, you will need professional software engineering experience building scalable, high-performance applications. You should have deep expertise in one or more programming languages, strong proficiency in relevant frameworks and libraries, and a solid understanding of software design principles, performance optimization, and best practices.

As a detail-oriented and adaptable individual, you will thrive in a fast-paced work environment and possess strong logical reasoning skills. Experience integrating analytics, monitoring, and security best practices relevant to your technical domain is a plus. Containerization technologies, such as Docker, and knowledge of complementary technologies, such as backend systems, APIs, databases, and authentication, are also desirable.

This role may be offered as a full-time, part-time, or contractor position, depending on role needs and candidate fit. As a contractor, you will have the flexibility to set your own hours and determine the exact amount of time needed to complete deliverables. You will be working remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.

US-based candidates will be compensated between $60/hour and $100/hour, depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates will receive information during the recruitment process.

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Your contributions will be critical in advancing the capabilities of our intelligent systems used in high-stakes defence applications.

Key responsibilities include:

Developing innovative structural designs for aircraft and UAVs, focusing on airframes, support structures, and load-bearing components.

Utilising advanced CAD software to create detailed models and drawings, ensuring all designs meet specified requirements.

Performing structural analysis using Finite Element Analysis (FEA) tools to evaluate performance under various conditions and loads.

Creating and executing comprehensive testing plans to validate the strength, durability, and performance of structural components.

Conducting stress, fatigue, and environmental testing to ensure compliance with industry standards.

Diagnosing and resolving structural issues, utilising both experimental data and analytical methods.

Working closely with multidisciplinary teams, including aerodynamics, materials science, and manufacturing, to ensure cohesive and efficient designs.

Coordinating with the electrical and systems engineering teams to integrate structural components seamlessly into overall system designs.

Engaging in design reviews and providing constructive feedback to improve design processes and outcomes.

Preparing detailed documentation, including design specifications, analysis reports, and test results.

Ensuring all designs comply with relevant regulatory standards and industry best practices, such as FAA and MIL-STD requirements.

Maintaining accurate records of design changes, test procedures, and product iterations.

Staying updated with the latest advancements in materials, manufacturing techniques, and structural design methodologies.

Proposing and implementing design optimisations to enhance performance, manufacturability, and cost-effectiveness.

Participating in R&D initiatives to explore new technologies and innovative solutions for structural challenges.

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You'll work on mission-critical software that bridges responsive user interfaces with robust backend systems, enabling human operators to plan, command, and monitor autonomous assets with precision and reliability.

Responsibilities:

• Design, develop, and optimize ground control software that enables low-latency communication with UAVs and other autonomous platforms.

• Build high-performance client and server applications that support telemetry processing, mission planning, and real-time control.

• Implement responsive user interfaces with React and TypeScript for operator workflows and visualization of spatial data, sensor feeds, and mission state.

• Collaborate closely with teams across autonomy, embedded systems, backend, and UX to deliver integrated, field-ready solutions.

• Contribute to architectural decisions and system designs that ensure responsiveness, scalability, and fault-tolerance.

• Lead development efforts on key features or subsystems, from early design through deployment and iteration.

• Write high-quality, well-tested code and participate in peer design/code reviews.

Requirements:

• Senior: Bachelor's degree with 5+ years of relevant experience, or Masters with 4+ years, or PhD with 2+ years.

• Staff: Bachelor's degree with 7+ years of relevant experience, or Masters with 6+ years, or PhD with 4+ years.

• Senior Staff: Bachelor's degree with 10+ years of relevant experience, or Masters with 9+ years, or PhD with 7+ years.

• Demonstrated experience building real-time or performance-sensitive applications,preferably for UAVs, robotics, autonomous vehicles, or simulation environments.

• Proficiency in a strongly typed programming language (e.g. C#, TypeScript, Java, C++) with exposure to lower-level systems or protocol integration.

• Experience with web technologies, especially React, TypeScript/JavaScript, and Node.js.

• Strong software engineering fundamentals including version control, testing, debugging, and performance profiling.

• Proven ability to deliver high-quality software as part of a collaborative engineering team.

Preferences:

• Experience with GCS software, mission planning tools, or real-time visualization platforms.

• Familiarity with API-driven systems using REST or gRPC, and communication protocols like WebSocket or custom telemetry formats.

• Knowledge of standards such as STANAG 4586, Cursor on Target (CoT), or MAVLink.

• Familiarity with containerized environments (e.g., Docker, Kubernetes) and CI/CD practices.

• Exposure to distributed systems and cloud integration for telemetry data pipelines.

• Understanding of security best practices in control systems and networked applications.

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Responsibilities:

• Partner with core electrical design engineering and manufacturing teams through product development and production to improve product function and reliability by applying best practices to designs and establishing repeatable process control.
• Support new product development by prototyping early development hardware to learn the design limitations.
• Execute on design for manufacturability changes to enhance production efficiency.
• Resolve and analyze manufacturing discrepancies while interfacing with the quality team (resolving issues for design, fabrication, and assembly).
• Participate in design reviews internally and with suppliers and customers.
• Partner with engineering & production teams to generate ideas, designs, and improvements for current and next-generation vessels.
• Source, retain, and advise new and experienced vendors from a technical perspective.
• Dive deep into the details to identify, understand, and solve difficult technical problems and also utilize a system-level approach to prioritize issues for the vessel as a whole.
• Identify opportunities for risk reduction and removal of complexity in designs and processes to improve manufacturability, collaborating with integrated product teams to drive improvements and address high-impact and repeating non-conformances.
• Constantly be challenging requirements to determine what adds value and what is non-value added overhead.

Qualifications:

• Bachelor's or Master's degree in Electrical Engineering or a related field.
• Proven understanding of electrical engineering principles, including design integrations into complex systems.
• Experience in wire harnessing, radios, transmissions, and integrating systems is a plus.
• Experience in designing electrical systems for complex projects, preferably in the automotive, maritime or defense industry.
• Knowledge of industry standards and regulations related to electrical systems, such as IEEE, IEC, and ABS is a plus.
• Familiarity with programming languages and software development practices is a plus.
• Excellent problem-solving skills and the ability to troubleshoot and resolve electrical issues.
• Strong communication and collaboration skills to work effectively in a multidisciplinary team environment.
• Adaptability to work in a fast-paced, dynamic startup environment with a strong drive for innovation and continuous improvement.
• Ability to travel as needed.

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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This engineering resource will be the cornerstone of our data infrastructure, responsible for extraction, transform, and load of the data that powers our nation-wide, best-in-class marketplace. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.

Primary Responsibilities

• Design, implement, and maintain scalable data transformation layers and code-first orchestration frameworks to ensure the delivery of high-fidelity, reusable data models
• Design and build robust pipelines to ingest data from diverse sources (APIs, logs, relational DBs)
• Ensure the reliable and timely execution of all critical data pipelines (ETLs/ELTs) to maintain data integrity and freshness
• Standardize analytics workflows by integrating software engineering best practices, including version control, CI/CD pipelines, and automated data validation protocols
• Develop and refine a robust semantic layer to facilitate self-service analytics, enabling stakeholders to derive insights without exposure to underlying architectural complexities
• Monitor and optimize cloud compute utilization and data model performance to ensure high availability and low-latency reporting during periods of rapid data scaling
• Serve as a strategic technical partner to leadership across Product, Engineering, Marketing, and Finance to align data infrastructure with organizational objectives
• Become a subject matter expert on the product ecosystem, user behavior, and marketing life cycles to better translate raw data into business value
• Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary,performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making
• Mentor the data analytics team on advanced technical methodologies to foster a culture of engineering excellence and data autonomy

Qualifications

• 3+ years of experience in data engineering or analytics engineering
• Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer
• Expert-level mastery of SQL, with the ability to write, tune, and optimize complex queries for high-volume environments
• Strong command of at least one major programming language used for data processing
• Hands-on experience designing and maintaining data lakes or cloud-based data warehouses
• Deep understanding of data integration patterns, including data ingestion, transformation, and automated cleansing (ETL/ELT)
• Experience applying scientific, mathematical, or statistical techniques to analyze data and build predictive models
• Advanced ability to translate complex datasets into actionable narratives using modern business intelligence and reporting tools
• A proven track record of using quantitative analysis to solve ambiguous problems and drive strategic decision-making in a fast-paced environment
• Exceptional ability to collaborate with non-technical stakeholders, translating business requirements into technical specs and vice versa

Benefits

• Generous Stock options
• Medical, dental, and vision insurance
• Generous PTO
• 11 paid company holidays
• Hybrid work model - WFH every Monday
• 401(k) plan
• Infant care leave
• On-site gym/showers open 24/7

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At Mercury, we're making a deliberate, company-wide bet on AI. Frontier users are already pushing boundaries,building agents, automating workflows, moving fast. But they're doing it in silos. This role exists to change that: to take those scattered experiments and turn them into shared infrastructure, shared context, and shared capability. The goal is a multiplier effect,where the most ambitious AI work inside Mercury lifts the velocity of everyone else.

You'll join a team that has already started building Mercury's internal AI platform and enablement layer. Your work will be to extend, harden, and scale what's in motion, and to help partner teams adopt it.

You'll build and evolve MCP servers that connect internal systems and data sources into a coherent interface for agents and engineers. Expand and operate our LLM gateway infrastructure: routing, rate limiting, cost attribution, and observability across teams. Turn early patterns into durable defaults: shared prompt libraries, guardrails, and policy-as-code so teams can move fast safely.

You'll shape and maintain structured context artifacts,clean, reliable, agent-consumable,so LLMs working in Mercury's systems can reason accurately about our domain. Improve internal knowledge discoverability and retrieval so both humans and agents can quickly find accurate answers. Partner with domain teams to standardize key sources of truth, and keep them fresh.

You'll build and refine sandbox environments and tooling that let engineers experiment with AI safely and at speed. Create self-service scaffolding so non-engineers,PMs, ops, finance,can prototype and deploy AI-powered workflows with minimal hand-holding. Build playgrounds and evaluation harnesses so internal AI agents can be tested and iterated in controlled environments before hitting production.

This list is illustrative. Priorities will shift as we learn; the right person will help choose the next highest-leverage work.

The ideal candidate has 5+ years of backend development experience in complex, production systems,you've built things that other engineers depended on. Is fluent across programming languages and can navigate platform engineering, infrastructure, and developer tooling without needing a map. Has hands-on experience building LLM-powered systems,RAG pipelines, agents, eval frameworks,and has shipped at least one of these to production. Understands the real tradeoffs in AI deployments: cost modeling, observability, latency, and safety,not just the exciting parts. Is high-agency and self-directed. You can operate effectively without tightly-defined scope, find the highest-leverage work, and get it done. Communicates clearly across technical and non-technical audiences,you can explain what you built and why it matters.

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Responsibilities

• Strategic Technical Leadership: Provide technical direction for full stack systems, making key architectural and systems-level decisions to ensure scalability, reliability, and security. Stay engaged with hands-on technical work on complex systems and critical projects.
• Team Leadership and Development: Lead and mentor a team of engineers, fostering their technical growth and ensuring high-quality output. Create a collaborative, high-performing culture that aligns with Flow's values of integrity, trust, and excellence.
• Cross-Functional Collaboration: Partner with product, operations, and engineering teams to define clear requirements and translate them into scalable, maintainable software solutions. Effectively communicate technical concepts to non-technical stakeholders.
• Execution and Delivery: Balance technical excellence with pragmatic decision-making to deliver continuous value to the business. Drive projects forward, identifying and resolving blockers to maintain momentum.
• Talent Development: Contribute to recruitment and hiring of engineering talent. Foster an environment of continuous learning, accountability, and teamwork.

Qualifications

• Technical Expertise: 10+ years of software engineering & management experience with deep knowledge of full stack systems, distributed systems principles, high availability, fault tolerance, and system efficiency. Proficiency in multiple modern programming languages with ability to adapt to new technologies quickly.
• Leadership Experience: Proven experience managing and developing engineering teams, with demonstrated ability to mentor engineers, resolve conflicts, and drive performance improvements.
• Architectural Thinking: Strong track record of making high-level architectural decisions that balance technical feasibility with business goals. Experience working in fast-paced, product-driven environments.
• Communication Skills: Excellent ability to explain complex technical concepts clearly across teams and to non-technical audiences. Strong collaboration and stakeholder management skills.
• Cultural Fit: Alignment with Flow's values of innovation, excellence, and teamwork. Demonstrated commitment to building positive, inclusive work environments.

Additional Information Benefits • Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life) • Paid time off and 13 paid holidays • 401(k) retirement plan • Healthcare and Dependent Care Flexible Spending Accounts (FSAs) • Access to HSA-compatible plans • Pre-tax commuter benefits • Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings

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As a Senior Software Engineer, you will develop backend systems that scale with Flow's growth. You'll work on critical systems, collaborating with cross-functional teams to build secure, resilient services. In this role, you will actively solve complex problems with autonomy, proactively identify improvements, and take ownership of your work.

Responsibilities

• Identify and build AI-powered capabilities into Flow's platform, from intelligent automation in building operations to personalized resident experiences
• Use AI-assisted development tools (e.g., Cursor, Claude Code) as part of your daily workflow to accelerate development, improve code quality, and push the boundaries of what a small team can ship.
• Build and optimize APIs, backend services, and distributed systems.
• Collaborate with frontend, product, and infrastructure teams to ship new features, supporting peers across teams and mentoring junior engineers.
• Design, develop, and maintain scalable software solutions while communicating across teams and providing useful asynchronous context.
• Conduct thorough testing and performance tuning to ensure reliability, connecting technical work to product impact and customer value.
• Participate in architecture discussions, propose technical solutions, and handle loosely defined problems with creativity and insight.
• Learn from failures, reflect, and work hard to improve under pressure, while elevating team outcomes and engineering quality.

Qualifications

• 10-15+ years of backend software engineering experience, with a proven track record of impacts across multiple areas or services.
• Fluency with AI-assisted development tools and a strong point of view on how AI changes the way software gets built. You're already using these tools daily, not just experimenting.
• Strong understanding of distributed systems, API development, and cloud computing.
• Experience with Kubernetes, Docker, and cloud-native infrastructure.
• Proficiency in modern programming languages (Go, Python, Kotlin, TypeScript).
• Ability to balance technical excellence with business needs.

Additional Information

Benefits

• Comprehensive Benefits Package (Medical / Dental / Vision / Disability / Life)
• Paid time off and 13 paid holidays
• 401(k) retirement plan
• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
• Access to HSA-compatible plans
• Pre-tax commuter benefits
• Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings

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To be considered for this role, you must be currently pursuing a Bachelor's degree in Computer Science, Mechanical Engineering, or a related technical major with a GPA of 3.0 or higher. You must be enrolled full-time and returning to university after the completion of the internship/co-op program. You should have strong skills in C++ or related object-oriented programming languages. You should have sharp and tenacious problem-solving abilities. You should have excellent written and verbal communication skills. You should be motivated, responsible, and a collaborative team player. Preferred skills include knowledge of FEA or similar computational techniques, experience with Microsoft Visual Studio and software configuration management tools (e.g., GIT), familiarity with Microsoft Technologies (.NET Framework, COM, ATL), and agile software development practices.

This internship experience runs from May to August 2026 and is a full-time position. The base salary range for this role is $0-$0. In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.

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Accelerate the adoption of industry-leading formal verification solutions, enabling customers to achieve robust, high-quality silicon designs. Strengthen Synopsys' reputation as a trusted partner for verification innovation and excellence. Drive customer success by delivering tailored consulting services and assertion IPs that address complex verification challenges. Enhance productivity and efficiency for customers through advanced formal methodologies and flows. Influence the direction of formal verification technology by collaborating with R&D and Product Management teams. Foster a culture of technical excellence and inclusion within your team, empowering members to grow and contribute meaningfully. Enable strategic customers to meet critical industry requirements such as design security, automotive safety, and verification signoff.

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Responsibilities:

• Building and iterating on fee explainability experiences that empower users to find answers independently
• Developing agentic systems with strong accuracy guarantees,building evaluation frameworks and ensuring reliability at scale
• Creating performant data aggregations and optimizations to handle complex pricing scenarios
• Working across the stack: backend services, frontend experiences, data pipelines, and AI agents
• Collaborating with stakeholders across engineering, product, operations, finance, accounting, and sales
• Independently identifying solutions to user pain points and executing against roadmaps
• Mentoring junior engineers and raising the technical bar for the team

Requirements:

• 5+ years of professional experience in a software development role
• Strong coding skills in any programming language
• Ability to drive and lead large-scale initiatives that solve critical business challenges
• Strong collaboration skills across teams and workstreams
• Track record of developing and delivering high-quality software using industry best practices
• Ability to make effective tradeoffs that balance business priorities, user experience, and technical sustainability

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Responsibilities: Lead a team of talented engineers on the team, providing mentorship, guidance, and support to ensure their success. Partner with Engineering Managers to create roadmaps that deliver milestones toward a cohesive engineering vision. Understand user needs and pain points to prioritize engineering work and deliver high-quality solutions that meet user needs. Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion. Work with high-visibility teams and their stakeholders to support the Infrastructure's key engineering initiatives. Provide hands-on technical leadership (architecture/design, vision/direction/requirements setting, and incident response processes) for team members. Build amazing end-to-end API, developer experiences, and Stripe's public API infrastructure and tooling. Ensure our APIs are secure, reliable, and performant while solving product problems and building delightful API and developer experiences for our users. Building the future of the Stripe API and scaling Stripe's API Infrastructure while working with product teams to extend the capabilities of our APIs.

Requirements: 10+ years of technical experience or 7+ years in infrastructure/platform engineering field 5+ years in a strategic technical leadership role Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g., building internal or external developer products). Hands-on experience building infrastructure and products for internal or external customers. Proven track record of delivering pragmatic solutions that accelerate business growth. Ability to adjust conversations from high-level discussions to detailed coding. Thrives on a high level of autonomy and responsibility. Clear and persuasive writing and in-person communication. Strong problem-solving skills, critical thinking, determination, and a growth mindset. Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high-level psychological safety for all team members and partners. Proficient in at least one of the programming languages (Java, Ruby, Python, Go).

Preferred qualifications: Strong written and verbal communication skills for different audiences (leadership, users, company-wide). Experience with a variety of common infrastructure platforms (databases, logging, event streams, metrics, caching, etc). Experience leading partially remote teams. Experience developing sustainable, in-house framework and abstraction ecosystems in large engineering orgs. Experience building serverless platforms. Experience managing rigorous incident response processes and on-call rotations.

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Responsibilities: Conduct detailed compensation analysis and modeling to support compensation program design, recommendations, and decision-making. Play a critical role in our annual pay range benchmarking and review process. Support Stripe's relationship with third-party vendors by ensuring data sets are comprehensive and current. Develop and maintain compensation tools, dashboards, and templates to drive informed decision-making. Collaborate with People and Finance teams to ensure accurate and timely compensation data and reporting. Ensure data accuracy and integrity by performing periodic audits in our HRIS (Workday). Support the design and development of annual compensation planning programs. Participate in research and analysis for new compensation policies and programs. Manage and analyze complex datasets to distill insights and convey findings; build tools as required to improve efficiency.

Requirements: 3-5+ years of relevant work experience in the compensation field. Experience developing and managing global compensation programs and processes, preferably in a high-growth, scaling, technology environment. Strong understanding of compensation best practices, current compensation trends, and market benchmark data. Proven analytical skills, a keen eye for detail, and truly in-depth knowledge of Excel / Google Sheets including building and maintaining complex models. Experience with programming languages (e.g., Python, SQL, Java). Experience communicating effectively across diverse teams, including translating complex ideas and quantitative insights into digestible information for leaders and employees. Deep commitment to excellent user experience, empathy, and discretion. Familiarity with equity compensation programs and related compliance requirements.

Preferred Qualifications: Strong knowledge of Workday and/or Tableau functionality. Experience with Workday and the Workday Advanced Compensation module. Experience supporting equity compensation programs at a private or publicly traded company. Highly organized, with the ability to manage multiple high-priorities in a fast-paced environment.

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At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking a Software Engineer to design, build, and lead the core systems that power Mistral's growth. This is a highly impactful role at the intersection of engineering, finance, data, and operations.

As our first hire in Enterprise Agents, you will balance hands-on work with technical direction, partnering with C-level stakeholders, and growing the team over time. You'll turn complex workflows into scalable software: integrations, connectors, and dashboards that make information flow across Mistral.

Responsibilities

• Own the platform from zero: design and implement integrations, connectors, and workflows across internal systems (CRM, billing, HRIS, planning tools).
• Lead the technical direction: define architecture, standards, and best practices for reliability, maintainability, and data consistency.
• Ship features: build end-to-end web apps with a pragmatic approach to delivery and iteration.
• Stakeholder leadership: partner directly with CFO, CTO and team leads to gather requirements, prioritize, and translate business needs into software.
• Org enablement: deliver sleek, self-service tooling and dashboards that reduce manual work and accelerate decision-making across teams.
• Technical Leadership: help shape the hiring plan, mentor future teammates, and evolve into the team's Tech Lead as we grow.

About You

• Full-stack engineer with strong experience in modern programming languages and frameworks (Python, TypeScript, React...), you're comfortable building web apps end-to-end.
• Track record shipping internal systems (APIs, integrations, connectors, dashboards) in enterprise-grade environments (banking/insurance/industry/consulting).
• Hands-on and technically strong, with excellent judgment around trade-offs, maintainability, and operational reliability.
• Leadership mindset: you've led initiatives or mentored engineers (formal or informal) and enjoy setting standards for others.
• Strong communication and stakeholder management; you like turning ambiguous problems into a clear plan and shipped software.
• Low-ego, team-spirited, autonomous; motivated by enabling others and improving how an organization operates.

Now, it would be ideal if you had:

• Experience with LLMs / agentic workflows.
• Exposure to market-leading SaaS business systems (Salesforce, Atlassian, Oracle, etc.).
• Familiarity with infra & operations (Docker, CI/CD, K8s…).
• Comfortable working closely with internal stakeholders, including C-levels.

Hiring Process

• Introduction call - 30 min
• Hiring Manager interview - 30 min
• Technical Rounds - Live Coding Interview (TypeScript or Python) - 45 min - System Design Interview - 45 min - Optional: Project Deep Dive - 60 min
• Culture-fit discussion - 30 min
• References

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Are you ready to dive into the world of additive manufacturing? As an Additive Intern at the Danville Additive Manufacturing Center of Excellence (AM CoE), you'll have the opportunity to contribute to cutting-edge research by assisting in the development and testing of groundbreaking additive manufacturing processes.

You'll explore new materials and technologies, learn how to advance additive manufacturing, and gain hands-on experience by supporting engineers in designing and fabricating parts using additive techniques. You'll also maintain and troubleshoot equipment to ensure the smooth operation of additive manufacturing equipment.

Interns must successfully complete the ATDM program at the Institute for Advanced Learning and Research. Due to customer requirements, we are only able to consider US Citizens for this role.

Responsibilities

• Assist in the development and testing of additive manufacturing processes
• Explore new materials and technologies
• Learn how to advance additive manufacturing
• Gain hands-on experience by supporting engineers in designing and fabricating parts using additive techniques
• Maintain and troubleshoot equipment to ensure the smooth operation of additive manufacturing equipment

Benefits

• Opportunity to contribute to cutting-edge research
• Hands-on experience in additive manufacturing
• Opportunity to learn from experienced engineers
• Competitive salary and benefits package

Note: Phillips Corporation is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Phillips Corporation is an E-Verify participant.

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Our team is responsible for designing, implementing, and deploying server-side features for real-time scalable games. We manage various backend services to ensure stability and analyze issues that occur in live environments. We also operate large-scale Kubernetes clusters across multiple countries and develop real-time scalable game servers.

As a Server Software Engineer, you will be part of a team that is passionate about creating innovative and engaging experiences for players. You will work closely with other engineers, designers, and artists to bring new ideas to life and collaborate with other teams to ensure seamless integration.

Responsibilities:

• Design, implement, and deploy server-side features for real-time scalable games
• Manage various backend services to ensure stability
• Analyze issues that occur in live environments
• Operate large-scale Kubernetes clusters across multiple countries
• Develop real-time scalable game servers

Requirements:

• 7+ years of experience in related fields
• Proficiency in TypeScript and JavaScript
• Familiarity with microservices architecture, gRPC, and RESTful APIs
• Experience with NoSQL or RDBMS development or operation

Preferred Skills:

• Experience with web services or distributed servers that handle large traffic
• Knowledge of container technology and cluster operation
• Experience with data collection and monitoring tools
• Computer science background
• Experience with various programming languages (C, C++, Python, Go, TypeScript)
• Experience with online or mobile game service launch and live operation
• Strong communication and problem-solving skills

Submission Documents:

• Korean resume and career portfolio

Hiring Process:

• Initial screening
• Coding test
• 1st interview
• 2nd interview
• 3rd interview (subject to change)

About Electronic Arts:

We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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Responsibilities

• Support the development and implementation of risk management strategies
• Analyze and assess risks associated with IT system administration and development
• Identify and implement measures to mitigate risks
• Collaborate with the team to develop and maintain risk management policies and procedures
• Support the development and implementation of IT system administration and development projects

Requirements

• Bachelor's degree in a relevant field (e.g. business administration, computer science, mathematics)
• Strong analytical and problem-solving skills
• Excellent communication and teamwork skills
• Proficiency in MS Office and other relevant software tools
• Experience with risk management and IT system administration and development is an asset

Benefits

• Opportunity to work with a leading manufacturer of high-performance sports cars
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Competitive salary and benefits package

Preferred Skills

• Experience with risk management and IT system administration and development
• Proficiency in programming languages (e.g. Python, Java)
• Knowledge of IT system administration and development tools and technologies
• Strong analytical and problem-solving skills
• Excellent communication and teamwork skills

Duration

• 6 months

Start Date

• Immediately

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The internship is a 5-6 month full-time position and is available throughout the year. The ideal candidate will have a degree in engineering, applied artificial intelligence, or a related field and be interested in function development, artificial intelligence, and automotive development processes. The candidate should also have knowledge of programming languages such as Python and Matlab, as well as analytical thinking, quick comprehension, creativity, and teamwork skills.

As a member of our team, you will have the opportunity to work on exciting projects and contribute to the development of innovative solutions. You will also have the chance to learn from experienced professionals and develop your skills and knowledge in a dynamic and supportive environment.

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Responsibilities:

• Set up specific environments and tools for localization
• Identify and extract localizable content from complex formats
• Convert final translated assets back to original formats
• Automate asset transfer from and to customers portals
• Troubleshooting issues coming from production, originating from translation process
• Contribute actively to the design, development and deployment of new production processes
• Development of tools for production
• Customize localization workflows and facilitate integration of localization tools with different source content repositories
• Review and anticipate potential globalization issues for new features, locales and technology
• Analysis of web sites and applications for localization potential and time/material requirements
• Ensure compliance with clients requirements and integrity of data
• Provide support to operations and sales management
• Work with other developers and engineers to implement technical solutions for end-to-end localization processes
• Review business requirements and identify technical design that is required to meet the business needs

Benefits:

• Full-time, permanent employment
• In-office working pattern
• Support services employment type
• IT & Infosec area of work

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Responsibilities:

• Set up specific environments and tools for localization
• Identify and extract localizable content from complex formats
• Convert final translated assets back to original formats
• Automate asset transfer from and to customers' portals
• Troubleshoot issues coming from production, originating from translation process
• Contribute actively to the design, development, and deployment of new production processes
• Develop tools for production
• Customize localization workflows and facilitate integration of localization tools with different source content repositories
• Review and anticipate potential globalization issues for new features, locales, and technology
• Analyze web sites and applications for localization potential and time/material requirements
• Ensure compliance with clients' requirements and integrity of data
• Provide support to operations and sales management
• Work with other developers and engineers to implement technical solutions for end-to-end localization processes
• Review business requirements and identify technical design that is required to meet the business needs

Requirements:

• University degree in computer science or equivalent background
• At least 2 to 3 years experience in software development
• Knowledge of programming languages (VB, VBA, C#, Java), scripting (Python, Perl, JavaScript) and markup languages (XML, HTML, XLIFF); confidence with API programming
• Experience writing SQL queries is a plus
• Advanced knowledge of regular expressions and text manipulation
• Excellent knowledge of most important CAT tools on the market (memoQ, XTM, Memsource, Wordbee, etc.)
• Advanced knowledge of internationalization good practices and experience with internationalization of web and mobile applications
• Knowledge of multilingual localization issues and procedures (managing characters set and encoding, text direction, text strings sorting and handling)
• Knowledge of Machine Translation technology is a plus
• Able to communicate effectively with stakeholders who have varying levels of technical expertise
• Fluent in English
• Passion for global solutions, international customers, and teamwork
• Focus on automation
• Good problem-solving skills combined with strong analytical abilities to find creative solutions
• Team player
• Strong time management, organizational, and support skills
• Strongly service-oriented, to efficiently support internal and external customers

Benefits:

• Company Pension Scheme
• Private Medical Insurance Scheme
• Employee Share Scheme
• Annual Bonus

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Responsibilities: Developing Infrastructure-as-Code (IaC) using Terraform, CDK, or Pulumi Developing CI/CD pipelines for Cloud Deployments Developing custom automation (Lambda Functions/ Azure functions) Efficient with programming languages (Python, JavaScript, bash, powershell, C#) Managing code repositories and performing peer code reviews Ability to maintain the code hygiene and writing test cases for the solutions Mentoring and training implementation engineers Assist with proof of concepts for strategic and enterprise customers Work side-by-side with customers to design, build, and deploy complex integrations Establish partnerships and strategic relationships with contacts at our biggest brands Time management is critical and should be able to manage multiple tasks/projects simultaneously Analyse and audit existing Helpshift implementations for the purpose of making improvements Become an expert at using Helpshift’s administrative tools which include a suite of AI products, bots, and other mission-critical support functions Work collaboratively with Account Manager, Customer Success Managers, Operations teams, and Sales to ensure customers’ overall success with the product Occasional travel to client site or other offices (up to 25%)

Requirements: Minimum of 3 years of SaaS experience in a specialization such as consulting services, technical pre-sales or technical project management Proven experience translating ambiguous customer requirements into actionable technical solutions Proficient with any of: Python, Go, C#, Node.js, Powershell Proficient with deploying cloud solutions on AWS or Azure (preferred) Familiar with technical SaaS concepts such as SDKs, APIs and cloud computing Exceptionally organized and a project manager at heart Understanding of Object-Oriented Programming concepts Value performing tasks as efficiently as possible and dislike seeing mistakes repeated Excellent communication skills and are comfortable leading meetings with customer executives and analysts alike Proficient in the entire G-Suite and can perform data analysis tasks including generating pivot tables and writing complex formulas in Sheets/Excel Curious about complex systems and a natural problem solver Build rapport with customers as a consultative seller Visual Storytelling – Use visual narratives to share a lot of information in a short amount of time Experience with Kubernetes and containerization technologies in cloud environments a plus Working EST/PST hours

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Responsibilities

• Analyse and improve the aerodynamic performance of our cars
• Design and develop new aerodynamic components
• Collaborate with our team of engineers to develop and implement aerodynamic strategies
• Conduct wind tunnel testing and analysis
• Develop and maintain computational fluid dynamics (CFD) models
• Work with our manufacturing team to ensure that aerodynamic components are manufactured to the required specifications

Benefits

• Competitive salary and benefits package
• Opportunity to work on a high-profile Formula 1 team
• Collaborative and dynamic work environment
• Professional development and training opportunities
• Access to state-of-the-art facilities and equipment
• Flexible working hours and remote work options

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As a trainee, you will be responsible for installing, configuring, and maintaining hardware and software, as well as gaining insights into the administration of Windows and Linux systems. You will also participate in network and infrastructure projects, provide support in IT, analyze and resolve technical issues, and learn about topics such as Active Directory, Microsoft 365, virtualization, and IT security.

We offer a dynamic and innovative work environment, with opportunities for professional growth and development. Our team is passionate about creating a better world of mobility, and we are looking for like-minded individuals to join us.

If you are interested in a challenging and rewarding career in system integration, we encourage you to apply.

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Responsibilities

• Convert supply and product opportunity areas into demand priorities for the SMB segment in collaboration with key stakeholders and as part of overarching demand planning efforts.
• Drive growth activation plans and programs adapted to a range of service models (outsourced/through-partner, self-service). Activities would include target setting; leading enablement; communicating results; delivering retrospectives for ongoing improvements.
• Anticipate, validate and articulate product fit and implementation challenges from customer perspective – providing actionable insights.
• Problem solve and drives segment level correction of error efforts.
• Utilizes insights from customer cases and support tickets to proactively develop and communicate solutions to product and engineering teams.
• Identify and propose incentive/acceleration opportunities.
• Expands on the established planning framework by soliciting feedback, participating in v-team meetings, and evolving the team value proposition to key internal stakeholders.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• Master’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR Bachelor’s Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.

Benefits

• The typical base pay range for this role across the U.S. is USD $119,800 – $234,700 per year.
• There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 – $258,000 per year.
• Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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Senior Electronics Design Engineer

610 - Electronics - Banbury, Oxfordshire

TGR Haas F1 Team has been a stalwart of the FIA Formula 1 World Championship over the past decade. With more than 200 grand prix starts to our name, we pride ourselves on being an ambitious challenger within Formula 1 - and we want you to be part of that journey.

The first American Formula 1 team to compete in the sport since 1986, TGR Haas F1 Team made an immediate impression with a memorable points-scoring debut at the 2016 Australian Grand Prix. Ten years later, the team is still building momentum, guided by clear objectives and technical partnerships, and fresh from securing its second biggest points haul in a Formula 1 season.

Yes, you’ll learn from us, but we expect to learn from you too!

General Summary:

This position reports to the Head of Electronics or their designee; located in Banbury, UK. Responsible for leading the team  on specification, design, development and project delivery of all electronics and electrical components both on and off car in accordance with the F1 technical regulations.

Key Responsibilities:

• Promote teamwork and effective communications to develop working relationships between all personnel and departments.
• Taking the lead and driving the design of on and off-car harnesses, units, sensors, plus other assemblies ensuring they meet performance and reliability requirements.
• Leading with the design of FIA, FOM and supplier component installations in accordance with their requirements, working closely with and advising the mechanical design office.
• Drive the specification and design of electronics systems to support on and off-car instrumentation and measurements.
• Generate and support the compilation of installation manuals and associated documentation to aid trackside installation of harnesses, units, sensors and associated components.
• Take a lead role to proactively investigate faults and generate fault reports working closely with the Reliability Engineer and the electronics trackside team.
• Generate mitigation solutions for fault resolutions of electronics, sensors and electrical components both on and off car.
• Continuously monitor and lead improvement of on and off car installations, design standards and operational processes and procedures.
• Support in a leading role, pre-season car build, test and rig events as required to oversee the installation of the electronics system in the chassis as well as garage environment.
• Actively engage in vehicle performance, development and reliability projects giving direction to the Mechanical Design Office for electrical and electronics solutions.
• Follow all safety regulations in all venues.
• Other duties as assigned by the Head of Electronics or their designee.

Education and Work Experience:

• University Degree or equivalent is essential, preferably in Electronics or Electrical Engineering.
• Multi-year experience of working in state-of-the art electronics engineering in a high-level technology development environment is required.
• Motorsport experience would be advantageous.

Specialized Knowledge and Skills:

• Thorough knowledge of electronics system design on an F1 chassis and ability to define accurate 3D layouts and drawings to a high standard.
• Advanced knowledge in schematic design and PCB layout and CAD design packages
• Highly experienced in the production of small batch/prototype analogue and digital circuits.
• Deep understanding of sensor technologies and the support electronics required.
• Proven track record of successful fault investigation, containment, and rectification
• Ability to develop, maintain and deliver project plans for all aspects of electronics and electrical development for an F1 race car and off car support equipment.
• Excellent time management skills and ability to work in a technically challenging environment.
• A sympathetic approach to work colleagues and an ability to integrate within a group environment.
• Capability of working in a multi-national team environment to a very high standard and with a positive can-do attitude.

Equipment and Applications:

• Solid computer knowledge, experience in Microsoft Office products and CAD (e.g. Catia/3DX) and PCB Design (e.g. Altium).
• Knowledge of embedded system programming (e.g. C) and high-level software languages (e.g. C#/VBA) would be advantageous.
• Ability to follow complex regulations related to shipment of materials and facility maintenance requirements.

Work Environment Physical Demands:

An ability to work and prioritize within a high pressure, time sensitive environment while retaining a methodical approach is essential. The role may require some international travel and a willingness to work long and flexible hours including weekends.

This position may require lifting to 50 pounds, repeated bending, squatting and manual dexterity. Fast-paced work environment requiring heavy mental demands. Work environment includes machinery, race cars, 7-post and other rigs, grinding debris, and hazardous fluids. All employees must ensure compliance with the Company Health and Safety Policy, and all relevant other statutory Health and Safety legislation.

_This job description may not detail some less major duties, nor cover duties of a similar nature, which may from time to time be reasonably required by the relevant manager._

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We are hiring our first Tokyo-based Product Support Specialists, who will grow our global presence as a team and serve as champions of our unique support brand. You’ll be at the front lines of safely delivering AI to the world by responding to, investigating, and tracking user needs in your day to day. Additionally, you’ll help us identify – and close – gaps in our team’s technical knowledge, provide high-touch support to strategic customers, and demonstrate deep care for how we systematically support customers at scale.

This role requires native-level Japanese and business-level English proficiency, as candidates will support both Japanese-speaking customers and those across APAC/ANZ in English.

_Note: Specialists in Tokyo will work 10am - 6pm, Monday to Friday._

Responsibilities:

• Become an expert in all Anthropic products
• Respond to user support cases, in English and Japanese, with a variety of complexity, from simple billing or account questions for individuals to complex API debugging for large businesses
• Clearly and empathetically communicate with a wide range of user personas, context-switching between guiding executives in a high-touch model to assisting consumer users in a rapid pace
• Manage on-call tasks for high-urgency user issues with extreme ownership. This includes being on critical ‘pager duty’ during APAC hours to ensure 24/7 Support for Critical Queries.
• Prioritize critically and comfortably adapt to an ever-evolving product landscape
• Operate in ambiguity, making informed decisions even in never-before-seen situations
• Partner with engineers, teammates, and other internal stakeholders to diagnose and resolve user issues, both individually and at scale
• Suggest and drive improvements to increase user satisfaction through support processes as well as own initiatives that increase efficiency and drive down contact rates
• Uplevel our team’s technical knowledge by scoping gaps, working with cross-functional partners to deeply understand relevant nuances, and building resources that grow with our products

You may be a good fit if you:

• Have experience in providing technical product support, in both English and Japanese, within a second tier, escalated, or priority support team.
• Are familiar with APIs and technical SaaS products and can deeply understand technical docs with ease
• Have demonstrated an ability to thrive in fast-paced, reactive situations while meeting core support metrics targets (e.g. CSAT, SLA, etc.)
• Possess strong user empathy and are expert in the lifecycle of a support case; you can read between the lines of a user’s question, put yourself in their shoes, and get at the heart of their needs for a speedy, satisfying resolution
• Have crisp but kind written communication skills and a deep care for the details
• Enjoy helping others learn about new features and complex concepts
• Are persistent and curious; you delight in the hunt of tracking down a bug or issue, and are energized by fixing this for all similar users going forward
• Have experience contributing to the foundations of a support team – this is essential, highly valuable, but often unglamorous work. And particularly key for this role due to it being among the first Support hires in APAC.
• Are proficient at working in a technical environment and are interested in Anthropic’s products
• Possess a deep sense of ownership, and are excited to help us build our team!

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 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

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As a Product Engineer on the Growth team at Cursor, you'll design and implement systems and features related to Onboarding, Monetization, and the core product experience.

You may be a fit if

You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.

Responsibilities

• Design and implement systems and features related to Onboarding, Monetization, and the core product experience.

• Work closely with the Growth team to develop and maintain high-quality products.

• Collaborate with cross-functional teams to ensure seamless product delivery.

Benefits

• Competitive salary: £80,000 - £100,000 per annum.

• Opportunity to work with a leading technology organisation.

• Collaborative and dynamic work environment.

• Flexible working hours and remote work options.

• Access to cutting-edge technology and tools.

• Professional development and growth opportunities.

Skills

• Strong understanding of software development principles and practices.

• Experience with cloud-based technologies, such as AWS or Google Cloud.

• Proficiency in programming languages, such as Python or Java.

• Knowledge of data structures and algorithms.

• Experience with agile development methodologies.

• Strong communication and collaboration skills.

Preferred Skills

• Experience with machine learning and AI technologies.

• Knowledge of DevOps practices and tools.

• Experience with containerisation and orchestration.

• Familiarity with cloud-based databases and data storage solutions.

• Experience with CI/CD pipelines and automation tools.

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Location

Washington, DC

Employment Type

Full time

Location Type

Hybrid

Department

OpenAI for Gov

Compensation

• $173.7K – $250.2K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer, you’ll help companies and organizations across industries transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking an experienced pre-sales Solutions Engineer to partner with our OpenAI for Government sales team in supporting government agencies, policymakers, public institutions, and government contractors harnessing the power of OpenAI’s tools and products. In this role, you will help public sector organizations drive innovation, enhance service delivery, and solve complex challenges through AI.

You will collaborate closely with government leaders, civil society, and key stakeholders to build trust, provide technical expertise, and ensure responsible AI adoption that aligns with public sector needs and priorities. Your work will contribute to our broader mission of ensuring AI benefits all of society, with a particular focus on public good and policy-driven impact.

_This role is based in Washington, DC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees._

In this role, you will:

• Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging ChatGPT and the OpenAI API can meet customers’ business needs and deliver substantial business value, including, but not limited to, building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

• Collaborate closely with the OpenAI for Government Go-to-Market, Policy/Global Affairs, and GRC teams to ensure a seamless customer experience.

You might thrive in this role if you:

• Have 7+ years of experience in a technical pre-sales role, managing C-level technical and business relationships with complex global organizations.

• Have worked closely with Federal Civilian and/or State & Local government customers

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have industry experience in programming languages like Python or JavaScript and working with REST APIs.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to

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Product Designer, ChatGPT

Location

San Francisco

Employment Type

Full time

Department

Product Design

Compensation

• $207K – $295K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world. We serve a diverse audience of users who are already using ChatGPT daily in their lives and work.

We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

Design plays a critical role here. To succeed in our mission, it’s crucial that we make our technology intuitive and accessible. We’re hiring a product designer to create products that are easy to use, beautiful, and push the boundaries of what’s possible. As an early team member, you’ll have a huge part in shaping our product direction and design culture.

About the Role

In this role, you’ll collaborate closely with a small team of product designers and cross-functional partners to craft product experiences of today and tomorrow. You’ll work on the end-to-end design of new features and improvements across a range of OpenAI consumer, business, and tools products. You’ll help chart our course into the future as we evolve our technology, product, and design paradigms.

_This role is based in our San Francisco HQ. We offer relocation assistance to new employees._

What you’ll do in this role

• Contribute to the overall design and product direction of OpenAI products

• Design and ship high-quality products and improvements, from early concepts to high-fidelity prototypes and visuals

• Partner closely with engineering, product management, AI research, and design peers to define both long-term strategy and short-term tactics

• Engage in user research to better understand our users and refine our products

• Contribute to and evolve our design system

• Help establish our design culture and grow our team

You might thrive in this role if you

• Have 4+ years of experience shipping larger scale software products

• Have a portfolio showcasing strong UX, UI, and interaction design skills, with a high bar for quality and craft

• Love thinking through complex interaction design problems

• Possess impactful communication and storytelling skills

• Enjoy tackling ambiguous problems and shaping them into a clear vision

• Get excited about being immersed in the AI research process and defining how AI-first products should look and behave

About OpenAI

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

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our largest Private Equity customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Private Equity and Large Enterprise Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for large Private Equity prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 10+ years of experience in a technical pre-sales or similar role, including 3+ years working with Private Equity partners.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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 diverse and vibrant communities we serve.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our largest Retail customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Retail and Large Enterprise Sales, Security, and Product teams.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for large Retail prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.
• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.
• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.
• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.
• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.
• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 10+ years of experience in a technical pre-sales or similar role, including 3+ years selling to Retail customers, managing C-level technical and business relationships with complex global organizations.
• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.
• Have foundational training in programming languages like Python or Javascript.
• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.
• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.
• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the team

OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems. We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements. We move quickly from prototype to production and surface reusable patterns that shape our platform. We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.

About the Role

As a Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers. You will own how they are built, shipped, and adopted. You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.

You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption. You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale. You will also share field insights with Product and Research to guide roadmap and priorities.

Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows. Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).

This is a high-trust, high-autonomy role. Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.

This role is based in New York City or San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel between 25%- 50% is required.

In this role, you will:

• Own the technical delivery plan for multiple interdependent work streams. Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.

• Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan. Lead onboarding, adoption, and change management.

• Partner with Product and Research so platform components and research work streams land in time to support deployment goals.

• Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.

• Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.

You’ll thrive in this role if you:

• Bring 7+ years of customer‑facing technical delivery leadership.

• Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.

• Excel in high ambiguity environments. Know how to simplify complex and dynamic work.

• Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.

• Think strategically and pattern-match. A

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$174K – $245K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our Digital Native customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Digital Native Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for Digital Native prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 4+ years of experience in a technical pre-sales or similar role, selling to technology companies, managing C-level technical and business relationships with complex organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $278K • 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 Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our largest Financial Services customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Financial Services and Large Enterprise Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for large Financial Services prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 10+ years of experience in a technical pre-sales or similar role, including 3+ years selling to Financial Services customers, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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 researching and developing AI in a responsible and beneficial manner.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $197K – $278K • 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 AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership.

As a Partner ADE, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the role

We are looking for a driven solutions leader with a product mindset as the founding Partner ADE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers.

• Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.

• Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.

• Forge and manage relationships with SI and customer stakeholders to ensure the successful deployment and scale of their applications.

• Codify solution packages and architectural patterns to accelerate time to deployment for customers and partners.

• Lead technical support during partners' initial projects to ensure successful implementations and mentor their technical teams towards self-sufficiency in delivering OpenAI-powered solutions.

• Scale the Partner Solutions Architect function by sharing knowledge, codifying best practices, contributing resources to our open-source repositories, and publishing resources to internal and external knowledge bases.

• Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.

You’ll thrive in this role if you:

• Have 8+ years of technical consulting (or equivalent) experience, managing C-level technical and business relationships with complex global organizations.

• Have led complex technical projects and programs with many stakeholders, ideally within or through an SI.

• Have industry experience in programming languages like Python or Javascript.

• Have led complex implementations of Generative AI and/or traditional ML solutions.

• Have built and/or delivered prototypes using the OpenAI API.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $278K • 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 Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our largest Healthcare & Life Sciences customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Healthcare & Life Sciences and Large Enterprise Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for large Healthcare & Life Sciences prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 10+ years of experience in a technical pre-sales or similar role, including 3+ years selling to Healthcare & Life Sciences customers, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $245K • 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 Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 8+ years of experience in a technical pre-sales or similar role, including 4+ years selling to Enterprise customers, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Compensation

• Remote $156.6K – $220.5K • Offers Equity
• San Francisco & New York $174K – $245K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer you’ll help our customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 3+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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 ensure that our products are developed and used responsibly.

XML job scraping automation by YubHub

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Remote $156.6K – $220.5K • Offers Equity
• San Francisco & New York $174K – $245K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer you’ll help our customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.

About the Role

We are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 3+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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 researching and developing AI in a responsible way.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• Zone A$221K – $278K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Technical Success team is responsible for the customer experience on the OpenAI suite of products, ensuring developers and enterprises maximize benefit, value, and adoption from our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises.

About the Role

We are seeking a solutions engineer to partner with our Digital Native customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Digital Native Sales, Security, and Product teams.

This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Deliver an exceptional pre-sales customer experience for Digital Native prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.

• Demonstrate how leveraging OpenAI’s suite of products can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.

• Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.

• Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.

• Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.

• Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.

You’ll thrive in this role if you:

• Have 10+ years of experience in a technical pre-sales or similar role, including 4+ years selling to technology customers, managing C-level technical and business relationships with complex global organizations.

• Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.

• Have foundational training in programming languages like Python or Javascript.

• Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.

• Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.

• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

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 backgrounds of our team members.

XML job scraping automation by YubHub

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Security

Compensation

• $260K – $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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments.

We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization.

The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Perform Security Assessments: Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software.

• Develop and Implement Security Tools: Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats.

• Collaborate with Development Teams: Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines.

• Threat Modeling and Risk Assessment: Conduct threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies.

• Vulnerability Management: Track, analyze, and manage vulnerabilities in applications, providing guidance and support for remediation efforts.

• Incident Response Support: Assist in investigating, analyzing, and responding to security incidents related to applications, ensuring timely resolution and documentation of incidents.

• Stay Current on Security Trends: Continuously stay updated on the latest security threats, vulnerabilities, and technologies to enhance security measures in applications.

You might thrive in this role if you:

• Extensive experience in information security, cybersecurity, or a related field, with a significant portion of that experience in leadership or management roles.

• Deep understanding of security technologies, tools, and best practices, including experience with secure coding practices, threat modeling, risk assessments, and incident response.

• Experience in application security, software development, or related areas with a strong understanding of secure coding practices and application security frameworks.

• Proficiency in programming languages (such as Python, Java, C++, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with security protocols and encryption methods.

• Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences

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 building a team of talented engineers, researchers, and designers who share our vision and values.

XML job scraping automation by YubHub

Security Engineer, Application Security

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Security

Compensation

• $260K – $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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments.

We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization.

The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Perform Security Assessments: Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software.

• Develop and Implement Security Tools: Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats.

• Collaborate with Development Teams: Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines.

• Threat Modeling and Risk Assessment: Conduct threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies.

• Vulnerability Management: Track, analyze, and manage vulnerabilities in applications, providing guidance and support for remediation efforts.

• Incident Response Support: Assist in investigating, analyzing, and responding to security incidents related to applications, ensuring timely resolution and documentation of incidents.

• Stay Current on Security Trends: Continuously stay updated on the latest security threats, vulnerabilities, and technologies to enhance security measures in applications.

You might thrive in this role if you:

• Extensive experience in information security, cybersecurity, or a related field, with a significant portion of that experience in leadership or management roles.

• Deep understanding of security technologies, tools, and best practices, including experience with secure coding practices, threat modeling, risk assessments, and incident response.

• Experience in application security, software development, or related areas with a strong understanding of secure coding practices and application security frameworks.

• Proficiency in programming languages (such as Python, Java, C++, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with security protocols and encryption methods.

• Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences

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 research and development.

XML job scraping automation by YubHub

Location

Seattle

Employment Type

Full time

Department

Security

Compensation

• $260K – $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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

As a Security Engineer, Application Security you will be responsible for identifying and mitigating security vulnerabilities within software applications through building security tools, code reviews, penetration testing, and security assessments.

We’re looking for people who will work closely with development teams to ensure secure coding practices are integrated throughout the software development lifecycle, preventing security risks before they emerge. You will also provide security guidance to developers and other stakeholders, fostering a culture of security awareness within the organization.

The role is preferred to be based in San Francisco, Seattle or New York City but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Perform Security Assessments: Conduct regular security assessments, code reviews, and penetration testing to identify vulnerabilities in applications and software.

• Develop and Implement Security Tools: Design, develop, and implement security tools, frameworks, and methodologies to protect applications against security threats.

• Collaborate with Development Teams: Work closely with development teams to ensure security best practices are integrated throughout the software development lifecycle (SDLC), including secure coding guidelines.

• Threat Modeling and Risk Assessment: Conduct threat modeling and risk assessments to proactively identify potential risks and develop mitigation strategies.

• Vulnerability Management: Track, analyze, and manage vulnerabilities in applications, providing guidance and support for remediation efforts.

• Incident Response Support: Assist in investigating, analyzing, and responding to security incidents related to applications, ensuring timely resolution and documentation of incidents.

• Stay Current on Security Trends: Continuously stay updated on the latest security threats, vulnerabilities, and technologies to enhance security measures in applications.

You might thrive in this role if you:

• Extensive experience in information security, cybersecurity, or a related field, with a significant portion of that experience in leadership or management roles.

• Deep understanding of security technologies, tools, and best practices, including experience with secure coding practices, threat modeling, risk assessments, and incident response.

• Experience in application security, software development, or related areas with a strong understanding of secure coding practices and application security frameworks.

• Proficiency in programming languages (such as Python, Java, C++, etc.), knowledge of security tools (e.g., Burp Suite, OWASP ZAP), and familiarity with security protocols and encryption methods.

• Strong written and verbal communication skills, with the ability to explain complex security issues to both technical and non-technical audiences

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

XML job scraping automation by YubHub

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Applied AI

Compensation

• $210K – $325K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

About the Team

The Incubation team explores and develops new product ideas at their earliest stages — identifying opportunities, rapidly testing concepts, and building the foundations for future OpenAI products. Operating as a 0→1 innovation group, the team works across problem spaces to discover where advances in AI can unlock entirely new user experiences.

We operate with a startup-like mindset inside OpenAI: small teams, fast iteration cycles, and a willingness to explore bold ideas, learn quickly, and pivot based on real-world signals. Our goal is to turn promising concepts into validated products that can scale to global impact.

About the Role

As a Full-Stack Software Engineer on the Incubation team, you’ll help imagine, prototype, and build entirely new product experiences within the OpenAI ecosystem. This team moves quickly from idea to experiment to iteration, exploring multiple directions in parallel and investing deeply in the most promising opportunities.

You’ll work across the stack—building frontend and backend systems, developing rapid prototypes, and collaborating closely with designers, researchers, and product partners—to bring early-stage ideas to life. This includes developing production systems on top of the high-scale internal platforms that power ChatGPT and the OpenAI API, as well as designing new architectures when existing systems aren’t sufficient.

We’re looking for engineers who thrive in small, nimble teams, bring creative product instincts, and pair strong execution with sound technical judgment. You should be comfortable operating in ambiguity, learning from experiments, and helping shape both product direction and technical strategy from the ground up.

In this role, you will:

• Prototype and iterate quickly on new product ideas, exploring how AI can unlock novel user experiences and workflows.
• Turn early concepts into functional demos and ship code early and often, using real-world feedback to guide iteration.
• Validate ideas through experimentation and help scale the strongest concepts from prototype to production.
• Work across the full stack to build products from initial exploration through launch readiness.
• Collaborate closely with research, product, design, data science, and engineering partners to drive meaningful impact.
• Learn from and contribute alongside deeply experienced engineers while fostering a high-trust, inclusive, and candid team culture.

You might thrive in this role if you:

• Have 3+ years of professional software engineering experience.
• Have built and shipped full-stack apps end-to-end — from prototype to traction — in fast-moving, startup-like environments.
• Are energized by ambiguity — you can take a one-sentence idea and turn it into a working product.
• Jump at opportunities to learn new systems or languages and share your insights clearly with others.
• Enjoy exploring new problem spaces and shaping products before requirements are fully defined.
• Thrive in high-ambiguity environments and can independently translate broad ideas into shipped products.
• Welcome direct, constructive feedback and offer the same to others with clarity and respect.
• Are fluent across multiple programming languages and frameworks — choosing the right tools to move quickly and effectively.

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

London, UK

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability

The Integrity pillar within Applied Foundations is responsible for the scaled systems that help identify and respond to bad actors and harm on OpenAI’s platforms. As the systems that address some of our most severe usage harms become more mature, we’re adding data scientists to help us measure robustly the prevalence of these problems and the quality of our response to them.

About the Role

We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.

This role is based out of our London office and may involve resolving urgent escalations outside of normal work hours. Many harm areas may involve sensitive content, including sexual, violent, or otherwise-disturbing material.

In this role, you will:

• own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals

• develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets

• build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable

• own dashboards and metrics reporting for harm verticals

• conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps

• optimise LLM prompts for the purpose of measurement

• collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs

• provide metrics for leadership and external reporting

• develop automation to scale yourself, leveraging our agentic products

You might thrive in this role if you:

• are a senior DS with trust and safety experience that can drive measurement direction

• have deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based)

• have experience working with severe and sensitive harm areas like child safety or violence

• are an excellent communicator, and have strong cross-functional collaboration skills

• are capable in data programming languages (R or python, SQL)

• (ideally) have experience with AI harms or leveraging AI for measurement

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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Engineering Manager, Identity Infrastructure

Location

San Francisco

Employment Type

Full time

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

Identity is the foundation of trust in an AI-powered world. As people build a rich personal and organisational context in ChatGPT, they need systems that protect it, remember it, and let them share it securely across apps and agents. Without strong identity, context stays locked away or exposed. With it, AI becomes safe, personal, and truly useful, empowering users while keeping control firmly in their hands. Our team builds the trusted OpenAI account layer that connects people, enterprises, developers, and agents to OpenAI apps and the broader AI ecosystem. Our systems are the front door to OpenAI—held to an exceptionally high bar for availability, security, and latency—and are depended on by many internal teams.

About the Role

As an Engineering Manager, Identity Infrastructure, you will lead a team owning foundational identity services that must be highly reliable, secure, and fast under extreme load. You’ll set direction, grow and support the team, and partner closely across engineering and security to strengthen the platform that enables trusted access to OpenAI products.

We’re looking for people who combine strong infrastructure depth with people leadership—someone who can guide technical strategy, run reliable operations, and build a high-performing team delivering mission-critical systems.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

What You’ll Do:

• Build, lead, and develop a high-performing engineering team. Coach and mentor engineers and senior technical leads to increase their impact and support their growth.

• Define and own the technical strategy, roadmap, and execution for OpenAI’s core identity systems.

• Guide the architecture of distributed systems operating at massive scale, with high requirements for reliability, privacy, and performance.

• Partner closely with Product and Infrastructure teams to support new product needs and uphold high system standards.

• Ensure the team operates effectively, maintains strong engineering rigor, and consistently delivers against ambitious goals.

• Establish processes and a culture that enable fast learning, high trust, and responsible innovation.

• Lead the team responsible for the authentication stack and token exchange infrastructure, ensuring high availability, strong security posture, and low-latency performance.

• Own and improve request validation at the edge for logged-in users, delivering extremely high reliability and fast validation under high throughput.

• Oversee systems that enable secure access to user data, improving scalability, reliability, and access patterns for internal consumers across the company.

You might thrive in this role if you:

• Have 3+ years of experience managing high-performance engineering teams in fast-paced, rapidly shifting environments.

• Have 10+ years of experience building, scaling, and operating distributed systems at large scale.

• Care deeply about people leadership, coaching, and helping engineers achieve peak performance.

• Communicate clearly, think holistically, and make decisions grounded in both user needs and long-term sustainability.

• Have experience managing an infrastructure team and are effective at hiring, coaching, and developing engineers while maintaining strong operational excellence.

• Have deep experience building and operating high-scale backend systems, with a track record of improving reliability, latency, and security in production.

• Bring broad infrastructure expertise across the stack—from hardware and cluster management to services and storage layers.

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 artificial general intelligence and work to align its development with human values. Our mission is to create a world where AI is a powerful tool for humanity, and we believe that this requires a multidisciplinary approach to research and development. We are committed to transparency and open communication, and we believe that sharing our knowledge and insights with the world is essential to advancing the field of AI. We are a team of researchers, engineers, and designers who are passionate about creating a future where AI is a force for good. We are based in San Francisco, California, and we are proud to be a part of the vibrant tech community in the Bay Area. We are committed to diversity, equity, and inclusion, and we believe that a diverse and inclusive team is essential to creating a better future for all. We are always looking for talented individuals who share our vision and values, and we encourage you to join our team and help us shape the future of AI.

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Software Engineer, Reliability

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $490K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• 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.

Job Description

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.

Join the engineering teams that bring OpenAI’s ideas safely to the world!!

The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.

About the Role

As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload.

In this role, you will:

• Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands.

• Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable.

• Build and maintain automation tools to streamline repetitive tasks and improve system reliability.

• Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources.

• Implement fault-tolerant and resilient design patterns to minimize service disruptions.

• Develop and maintain service level objectives (SLOs) and service level indicators (SLIs) to measure and ensure system reliability.

• Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.

• Participate in an on-call rotation to respond to critical incidents and ensure 24/7 system availability.

You might thrive in this role if you:

• Have a track record of accelerating engineering reliability by empowering your fellow engineers with excellent tooling and systems.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Enjoy seeking out and addressing bottlenecks and areas for performance improvement in our systems.

• Utilize Infrastructure as Code (IaC) principles to automate infrastructure provisioning and configuration management.

• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

• Proven experience as an SWE focused on reliability or a similar role in a fast-paced, rapidly scaling company.

• Strong proficiency in cloud infrastructure.

• Proficiency in programming languages.

• Experience with containerization technologies and container orchestration platforms like Kubernetes.

• Knowledge of IaC tools such as Terraform or CloudFormation.

• Excellent problem-solving and troubleshooting skills.

• Strong communication and collaboration skills.

• Experience with

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Data Scientist, Business

Location

San Francisco

Employment Type

Full time

Department

Data Science

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.

• 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 Business Data Science team uses data and analytics to optimize business performance, drive growth, and foster meaningful partnerships, with the goal of ensuring the sustained and impactful expansion of OpenAI's initiatives to maximize the benefits of AGI for all of humanity. We partner with Sales (GTM), Marketing, Partnerships, Support, Finance, Product, and Growth.

About the Role

As a member of our Business Data Science team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. This role is focused on driving customer success within our business products (ChatGPT Team, ChatGPT Enterprise, and API). You will work on projects such as identifying opportunities for interventions within a customer lifecycle to drive activation & onboarding, identifying target audiences for new feature launches, and measuring the efficacy of emails, events, and other interventions to drive ongoing engagement with our products.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Embed with our Customer Success organization as a trusted partner, uncovering new ways to drive customer adoption and engagement of our business products.

• Establish key metrics, run experiments, and perform analysis to help us understand the incrementality of our efforts to drive adoption/engagement.

• Proactively surface insights and opportunities to drive engagement and growth.

• Build tools and systems for stakeholders to self-serve routine data and insights freeing up time to work on more leveraged analyses.

• Become an expert in OpenAI’s data and systems. Through partnership with Data Eng, Finance and other business teams, you will self-serve all the underlying data for our business and derive insights from them.

• Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization

You might thrive in this role if you have:

• At least 7+ years of experience in Data Science roles within dynamic, outcome-driven organizations.

• Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.

• Proficiency in quantitative programming languages, such as Python and R.

• Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.

• Experience using business intelligence tools, such as Mode, Tableau, and Looker.

• Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.

• Ability to build relationships with diverse stakeholders and cultivate strong partnerships.

• Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.

• Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.

• Best-in-class attention to detail and unwavering commitment to accuracy.

• Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.

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; New York City

Employment Type

Full time

Location Type

Hybrid

Department

Data Science

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.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

The Applied Foundations team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. Our team is at the front lines of defending against financial abuse, scaled attacks, and other forms of misuse that could undermine the user experience or harm our operational stability

About the Role

We are looking for experienced trust and safety data scientists to help us improve, productionise and monitor measurement for complex, actor- and sometimes network-level harms. A data scientist in this role will own measurement and metrics across several established harm verticals, including estimating prevalence for on-platform (and sometimes off-platform!) harm, and analyses to identify gaps and opportunities in our responses.

In this role, you will:

• Own measurement and quantitative analysis for a group of severe, actor- and network-based usage harm verticals.

• Develop and implement AI-first methods for prevalence measurement and other productionised safety metrics, which may necessarily include off-platform indicators or other non-standard datasets.

• Build metrics that can be used for goaling or A/B tests when prevalence or other top line metrics are not suitable.

• Own dashboards and metrics reporting for harm verticals.

• Conduct analyses and generate insights that inform improvements to review, detection, or enforcement, and that influence roadmaps.

• Optimise LLM prompts for the purpose of measurement.

• Collaborate w/ other safety teams to understand key safety concerns and create relevant policies that will support safety needs.

• Provide metrics for leadership and external reporting.

• Develop automation to scale yourself, leveraging our agentic products.

You might thrive in this role if you:

• Are a senior DS with trust and safety experience that can drive measurement direction.

• Have deep statistics skills, specifically around sampling methods and prevalence estimation of complicated problem areas (ideally activity- rather than content-based).

• Have experience working with severe and sensitive harm areas like child safety or violence.

• Are an excellent communicator, and have strong cross-functional collaboration skills.

• Are capable in data programming languages (R or python, SQL).

• (Ideally) have experience with AI harms or leveraging AI for measurement.

About OpenAI

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

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We are the Audi Revolut F1 Team.

Audi will compete in the FIA Formula 1 World Championship starting in 2026.

The team has three locations. Audi's Motorsport Competence Center in Neuburg, Germany, is considered one of the most modern of its kind in Europe.

The Formula 1 Factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing.

The Audi Motorsport Technology Centre, UK, is in its launch phase and growing continuously. Our power unit comes from Neuburg, while Hinwil is responsible for chassis development and race operations.

Your mission

• Contribute to the overall CFD process development in an F1 environment
• Have an impact on how CFD technology is used by the whole aerodynamic department
• Improve the CFD physical modelling to increase the accuracy of the prediction
• Work closely with external software providers on specific development projects
• Help us set future directions and trends in advanced CFD methods
• Work in an agile software development team

Your profile

• MSc or PhD in Aerospace Engineering, Mechanical Engineering, Mathematics or a related field with a strong focus on computational fluid dynamics
• At least 3 years of professional experience developing CFD Methods in OpenFOAM
• Previous F1 experience will be considered a plus
• Knowledge of high-Reynolds flows physics and turbulence modelling
• Knowledge of C++ and Python programming languages
• Familiarity with software release, update and deployment techniques
• Experience in parallel computing and high-performance computing (HPC)
• Familiarity with developing software in Linux environments
• Hard-working, independent and reliable
• Self-motivating, responsible and meticulous
• Open to share a continuous learning culture within the team
• Promote a collaborative, respectful and trusting work environment within the team
• Proficiency in English language skills. German language skills will be an advantage

Driven by passion.

Every lap is a statement, every start a promise. This is what defines us.

Take a closer look.

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Explore the R26

Meet the team

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