This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

Requirements:

• 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

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

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About Anthropic

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

About the Role

Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.

Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we'll treat that as useful signals. The questions these projects are designed to answer include:

• Can our core research workflows survive extreme isolation?

• Can we get cryptographic guarantees where we currently rely on trust?

• Can AI become our most effective security control?

As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.

Current Project Areas

The portfolio evolves based on what we learn. Current areas include:

• Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact

• Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production

• Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)

• Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring

• Prototyping API-only access regimes where even internal research workflows never touch raw model weights

Part of your job is helping shape what comes next based on gaps uncovered in the current round.

Responsibilities

• Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results

• Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast

• Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.

• Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break

• Evaluate and integrate emerging security technologies through coordination with external vendors and research groups

• Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments

• Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments

• Help scope and prioritize the next wave of Labs projects based on what the current round uncovers

Requirements

• 7+ years of software or security engineering experience, with a solid foundation in production systems

• Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal

• Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)

• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly

• A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan

• Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on

• Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward

• Genuine curiosity about what it would actually take to defend against a nation-state-level adversary

• Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well

• Bachelor's degree in Computer Science, a related field, or equivalent industry experience required.

Preferred Qualifications

• Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter

• Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them

• Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives

• Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need

• Background building or operating security systems in environments that demand rapid iteration rather than rigid change control

• Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal

Location

This role is based in our San Francisco office (500 Howard St). Several Labs projects involve physical secure facilities on-site, so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline.

What We Offer

• Competitive salary and equity package

• Comprehensive health insurance and retirement plans

• Flexible work arrangements, including remote work options

• Professional development opportunities, including training and conference attendance

• Collaborative and dynamic work environment

• Access to cutting-edge technology and resources

• Opportunity to work on challenging and impactful projects

• Recognition and rewards for outstanding performance

If you're excited about the opportunity to join our team and contribute to the development of secure and beneficial AI systems, please submit your application. We can't wait to hear from you!

Deadline to Apply

None, applications will be received on a rolling basis.

Annual Compensation Range

$405,000 - $485,000 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 the process.

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Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.

Responsibilities

• Build and deploy multi-agent systems for agentic reasoning validation
• Develop pipelines to detect errors and scale human judgment
• Combine classical ML, LLMs, and multi-agent techniques for reliability
• Lead research into agent failure modes and ship fixes
• Use AI tools to speed prototyping and iteration
• Build data-driven evaluations and deploy rapid improvements
• Integrate systems into Scale's platform

Ideal Candidate

• PhD or MSc in Computer Science, Mathematics, Statistics, or related field
• 3+ years shipping scaled production ML systems
• Demonstrated real-world impact
• Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
• Deep expertise in agentic LLMs and multi-agent systems
• Strong software engineering and microservices (AWS/GCP)
• Rapid, data-driven iteration
• Proficiency using AI tools to accelerate work
• Strong research depth with practical bias
• Excellent cross-functional communication

Nice to Have

• Experience prototyping agent evaluation/reliability systems
• Human-in-the-loop or annotation pipeline work
• Open-source contributions in agents, evaluation, or alignment
• Publications on agent reliability (NeurIPS, ICML, ICLR)

Compensation

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.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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What you'll do at Figma:

• Help Figma grow and innovate by delivering strategic research and recommendations and materially influencing the vision and strategy for Figma Design
• Partner closely with product leaders to find opportunities, generate strategy, and define success
• Break down complex business challenges into clear research plans; lead the end to end research process and demonstrate strong storytelling skills to deliver significant impact to Figma’s businesses
• Harness your product mindset and storytelling chops to influence product roadmap
• Advocate for the role of Research as a strategic partner in the business process

Requirements:

• 7+ years of experience in UX research or user insights at a high growth B2B SaaS company
• Expertise in applying a variety of research methodologies, including both qualitative and quantitative techniques, to address product challenges spanning from opportunity identification, concept testing, to feature iterations
• Shown success in identifying assumptions that underpin key challenges, prioritizing the most critical assumptions, and creating right sized research approaches to test those critical assumptions
• A proven track record of gaining consensus from executive team members and cross disciplinary partners, going beyond mere research mechanics and findings to articulate a larger user story, and the “so what” to inspire action
• Experience conducting research on AI-powered features or working on teams exploring AI applications

Nice to have:

• 2+ years in product design, user centric product management, product development, and/or front end engineering
• A familiarity and depth of experience using Figma’s products

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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As an Integration and Test Engineer (Mechanical), you will work within a dynamic team of multidisciplinary engineers and specialists throughout the life of AUV design, integration, and test efforts. Your responsibilities will include:

• Supporting design and integration of AUV mechanical subsystems and components, ensuring proper interfaces with electronic and software systems
• Developing, building and operating physical integration environments and test fixtures to support system maturity efforts
• Conducting root cause analysis for mechanical failures and implementing corrective actions
• Providing mechanical subject matter expertise to test operations for AUV platforms, including conducting pre-mission testing, vehicle tasking, and data analysis
• Writing, reviewing, and executing detailed test procedures to document the step-by-step execution of internal and customer-facing efforts to test and evaluate AUV subsystems, platforms, and new capabilities
• Supporting infield debug, repair, operation, and maintenance of AUVs
• May be in the field up to 20% of the time, supporting nearshore and offshore testing

We are looking for a highly motivated and experienced engineer who is passionate about delivering high-quality results and has a strong understanding of mechanical engineering principles and practices. If you have a genuine interest in working with multi-domain unmanned systems and have a proven track record of success in a similar role, we encourage you to apply.

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We're seeking a Senior Product Designer to join our team in London. As a Senior Product Designer, you will lead complex, high-impact product initiatives from discovery to release. You will design AI-powered features and workflows that feel intuitive, are trustworthy, and valuable.

Responsibilities:

• Lead complex, high-impact product initiatives from discovery to release.
• Ship regularly,prioritizing real-world impact over pixel-perfect mockups.
• Design AI-powered features and workflows that feel intuitive, are trustworthy, and valuable.
• Work alongside engineers to refine implementation details and ensure high-quality execution.
• Ship front-end development into the codebase.
• Use necessary tools to create prototypes and/or tools to test workflows, interactions, and edge cases.
• Balance user needs, technical constraints, and business goals to deliver measurable outcomes.
• Strengthen and evolve Dialtone, ensuring scalable, accessible, and cohesive system design.
• Identify new opportunities where AI and automation can create meaningful value for customers.
• Mentor other designers and elevate the craft, speed, and quality of how the team ships.

Requirements:

• Have 5+ years of experience shipping high-quality, thoughtful product design work.
• Demonstrate a strong track record of delivered experiences.
• Be highly comfortable navigating ambiguity and leading complex projects independently.
• Think in systems,designing cohesive end-to-end experiences rather than isolated screens.
• Comfortable working in front-end code and deeply collaborating with engineering.
• Experience working with AI tools and designing AI-enhanced experiences.
• Communicate clearly and persuasively across disciplines, including with leadership.
• Care deeply about craft, detail, usability, and measurable product outcomes.
• Proactively identify problems, propose improvements, and drive work forward without waiting for direction.
• Have experience designing AI-native products, conversational interfaces, or automation workflows.
• Have directly contributed to production codebases.
• Have experience building SaaS or enterprise collaboration platforms.
• Be familiar with communication technologies (voice, messaging, contact centers, or real-time collaboration).
• Have helped evolve or scale a design system.
• Bring experience with experimentation frameworks and data-informed iteration.
• Contribute to the broader design community through writing, speaking, or mentoring.

Why Join Dialpad:

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee’s impact
• Competitive salary, comprehensive benefits, and real opportunities for growth

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Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests.

As a Product Designer on our Notifications team, you will own end-to-end initiatives across the full notification experience , from new notification types to settings redesigns to delivery optimizations across all platforms (iOS, Android, Desktop, Web).

Your work will directly impact how we grow Discord while protecting the experience that makes it special.

Responsibilities:

• Own end-to-end initiatives across the full notification experience , from new notification types to settings redesigns to delivery optimizations across all platforms (iOS, Android, Desktop, Web)
• Design with high craft and velocity , creating production-ready specs and high-fidelity prototypes while knowing when to ship vs. polish
• Influence scope and strategy in partnership with your PM, engineering lead, and cross-functional teammates, balancing growth velocity with user value
• Use data and research to inform decisions, partnering with research and data science teams to validate designs and understand user behavior
• Think in systems , considering how notification types, orchestration, and settings work together to create a cohesive experience
• Collaborate and communicate effectively , sharing work early and often, telling compelling stories about your design rationale, and building relationships across teams
• Drive projects autonomously , managing your own time and deliverables while knowing when to escalate blockers

Requirements:

• 3+ years of product design experience designing consumer-facing digital products , though we're open to strong candidates with 2+ years who demonstrate exceptional craft and potential
• Strong visual design foundation with demonstrated aesthetic taste
• Solid interaction design skills , you create intuitive flows, understand information architecture, and can design for complex, multi-step experiences
• High proficiency with Figma and prototyping tools (Protopie, Framer, Principle, etc.)
• Experience shipping products collaboratively in cross-functional teams with engineering, product management, research, and data science
• Ownership mindset with a bias toward action , you proactively drive projects and decisions forward

Bonus Points:

• Personal use of Discord and passion for gaming or community platforms
• Experience designing growth, engagement, or lifecycle marketing products
• Understanding of notification systems, push delivery, or messaging platforms
• Familiarity with experimentation frameworks and data-driven iteration

Why Discord?

Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests.

Join us in our mission!

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The difference you will make: This Staff Experience Designer will be focused on innovation, both near-term and long-term. The focus of this team will be on new product areas, launches, strategic initiatives and partnerships and creative vision. You will oversee multiple initiatives from insight to strategy, to launch across all platforms and devices that advances our mission of connection and belonging.

A typical day:

• Support and shape the evolution of the Airbnb platform from a design perspective; ensure consistency with, and contribute to, our brand architecture and product architecture.
• Partner with Product Managers, Engineers, Data Scientist, Researchers and Writers to define problems & goals, map user flows, prototype interactions, and launch new products and services.
• Influence leadership decision making through a clear point of view and define and solve highly complex problems autonomously.
• Provide indirect leadership and mentorship for a team of designers through the end-to-end interaction and visual design of products and services for a global audience.
• Anticipate business challenges and independently create product solutions.

Your expertise:

• Bachelor's degree or equivalent combination of education and progressive experience
• Designer/Design Leader with 10+ years of experience.
• Excellent visual and interaction skills and craft.
• Defines the design direction and process and can lead others through it.
• Can accurately scope their work as well as their teammate's.
• Can effortlessly motivate and drive small to medium teams to transform a product.
• Demonstrated ability to help a team navigate ambiguity, set vision, and set strategy for global products.
• Systems-thinker with the ability to think beyond the pixels and design for offline experiences.
• Experience with making complex information, tools, and services easily digestible for your audience.
• Strong storytelling, presentation, communication and stakeholder management skills.
• Experience designing platforms and systems.
• Experience managing and collaborating with research and writing disciplines.
• 0 to 1 experience or experience redesigning major elements of product, experience or service design.

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Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.

Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we'll treat that as useful signals. The questions these projects are designed to answer include:

• Can our core research workflows survive extreme isolation?
• Can we get cryptographic guarantees where we currently rely on trust?
• Can AI become our most effective security control?

As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.

Current Project Areas

The portfolio evolves based on what we learn. Current areas include:

• Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact
• Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production
• Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)
• Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring
• Prototyping API-only access regimes where even internal research workflows never touch raw model weights

Part of your job is helping shape what comes next based on gaps uncovered in the current round.

Responsibilities

• Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results
• Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast
• Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.
• Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break
• Evaluate and integrate emerging security technologies through coordination with external vendors and research groups
• Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments
• Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments
• Help scope and prioritize the next wave of Labs projects based on what the current round uncovers

Requirements

• 7+ years of software or security engineering experience, with a solid foundation in production systems
• Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal
• Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)
• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly
• A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan
• Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on
• Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward
• Genuine curiosity about what it would actually take to defend against a nation-state-level adversary
• Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well
• Bachelor's degree in Computer Science, a related field, or equivalent industry experience required.

Nice to Have

• Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter
• Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them
• Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives
• Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need
• Background building or operating security systems in environments that demand rapid iteration rather than rigid change control
• Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal

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As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

Key responsibilities include:

• Leading the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Owning the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Using FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Working closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Supporting and leading efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participating in and leading design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Overseeing the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guiding the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentoring junior engineers and reviewing team members' work for technical rigor, performance, and manufacturability.

• Collaborating with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identifying opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Required qualifications include:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred qualifications include:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

Salary: $166,632 - $249,948 a year

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As a senior member of the Mechanical Engineering team, you will own the design and development of high-performance structural systems, from clean-sheet concepts to production-ready hardware.

You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

This role is ideal for an experienced aerospace mechanical engineer who thrives in fast-paced, high-ownership environments and is passionate about building systems that matter.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.

• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.

• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.

• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.

• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.

• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.

• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.

• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.

• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.

• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.

• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Qualifications:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.

• 10+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.

• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.

• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).

• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.

• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.

• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.

• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferred Qualifications:

• M.S. degree in Aerospace or Mechanical Engineering.

• Strong NX CAD skills.

• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.

• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.

• Prior experience in flight vehicle integration, manufacturing liaison, or production support.

• Familiarity with model-based engineering, digital twin development, or configuration management tools.

• Demonstrated experience in failure analysis, design iteration, and test correlation.

• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

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This is a multi-level role where the level of responsibility is tailored to the candidate. You'll work across disciplines to ensure structural integrity, manufacturability, and mission-readiness in one of the most advanced autonomous aircraft platforms being built today.

Responsibilities:

• Lead the design and development of structural components and assemblies for Shield AI's next-gen UAV platform, with a focus on primary and secondary aircraft structures.
• Own the structural design lifecycle including concept generation, CAD modeling, detail design, and drawing release, ensuring high quality and traceability.
• Use FEA tools to perform and guide linear and nonlinear structural analysis, stress analysis, and margin assessment under operational loads and edge cases.
• Work closely with aerodynamics, propulsion, avionics, payload, and manufacturing teams to ensure seamless system integration across airframe and subsystem interfaces.
• Support and lead efforts in material selection, focusing on composites, aluminum alloys, and advanced manufacturing approaches suited to mission and environment.
• Participate in and lead design reviews, architecture discussions, and technical decision-making forums related to structural systems.
• Oversee the design and execution of structural validation testing, including coupon-level, subcomponent, and full-system testing.
• Guide the development of design documentation, analysis reports, interface definitions, and verification plans in compliance with MIL-STD, FAA, and internal Shield AI standards.
• Mentor junior engineers and review team members' work for technical rigor, performance, and manufacturability.
• Collaborate with the manufacturing and flight test teams to transition designs from engineering to production and field deployment.
• Identify opportunities to improve design processes, configuration management, and team workflows for increased engineering velocity and design quality.

Requirements:

• Bachelor's or Master's degree in Mechanical Engineering, Aerospace Engineering, or a related discipline.
• 2+ years of experience in aircraft structural design, with demonstrated ownership of components or systems in development, test, or production.
• Deep understanding of composite and metallic structures, including material behavior, joints, and thermal/environmental effects.
• Expertise in CAD tools (NX, CATIA, or SolidWorks) and FEA tools (ANSYS, Abaqus, NASTRAN, or similar).
• Experience conducting or overseeing stress analysis, fatigue analysis, and design optimization.
• Strong working knowledge of DFMA, GD&T, tolerance stackups, and structural layout principles.
• Clear, concise technical communication skills and experience leading cross-functional engineering efforts.
• A track record of technical excellence, high ownership, and a mission-driven mindset in challenging engineering environments.

Preferences:

• M.S. degree in Aerospace or Mechanical Engineering.
• NX CAD experience
• Experience supporting or leading Group 3–5 UAV, DoD aircraft, or high-performance aerospace vehicle programs.
• Knowledge of aerospace standards (MIL-STD, ASME Y14.5, FAA FARS) and certification pathways.
• Prior experience in flight vehicle integration, manufacturing liaison, or production support.
• Familiarity with model-based engineering, digital twin development, or configuration management tools.
• Demonstrated experience in failure analysis, design iteration, and test correlation.
• Previous work in startup, R&D, or high-growth defense environments where agility and innovation are key.

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You'll contribute by:

• Creating concept art for characters, creatures, and props; from loose exploratory sketches to fully rendered designs.
• Developing visually striking and clear character skin concepts that strengthen the narrative and align seamlessly with the IP.
• Partnering with Art Directors, Artists, Animators, and Designers to ensure characters and creatures not only look compelling but function well in-game.
• Collaborating with 3D Artists through detailed paint-overs and feedback to refine designs and solve visual challenges.
• Producing well-researched mood boards and rapid iterations that inspire new themes and directions for the art team.
• Bringing your unique passions and perspective to the broader studio and contributing beyond your core discipline that help shape not just the look of Arkheron, but also the creative practices of the team.

We're excited about you because you:

• Bring a stunning portfolio that showcases your strongest work and highlights your range as a concept artist.
• Have built a career creating characters, costumes, and creatures that push the limits of quality and creativity (whether in AAA games or film) leaving players and audiences with designs they remember.
• Demonstrate outstanding draftsmanship and artistic fundamentals, with deep knowledge of costume and fashion design across eras and cultures, a strong sense of materials, and the ability to communicate them visually.
• Can illustrate FX and animation through storyboards, and bring expert-level proficiency in Photoshop to your work.
• Hold yourself to a high quality bar, and proactively adapt to creative challenges to ensure the art always elevates the game.
• Thrive on collaboration, adapting your communication style (written, verbal, and visual) to meet the needs of your teammates.
• Actively seek and apply feedback across disciplines, staying curious about other teams' challenges and using those insights to strengthen how art supports gameplay.
• Embrace accountability, consistently meet deadlines, and bring a self-starting, self-managing approach that keeps you moving in step with development.

This might not be the role for you if:

• You're happiest on large teams with clear, specialized lanes. At Bonfire, we're a small, senior group where everyone wears a few different hats.
• Radical transparency and direct feedback feel uncomfortable. We rely on openness and shared ownership to do our best work together.
• You'd rather follow an established process than help shape and evolve one. Here, we're always iterating as the team and game grow.
• Playfulness and creativity don't feel essential to you. For us, they're core ingredients in making something truly special.
• You prefer to stay narrowly focused on your craft. This role is about collaborating across disciplines and influencing areas beyond your immediate specialty.

You'll love working at Bonfire because we:

• Embrace bold challenges with creativity and courage, making the tough calls to build a game we're proud to play every day.
• Keep fun at the core: we play Arkheron daily, staying grounded as players. If it's not more fun than yesterday, we fix it. We don't chase trends; we listen by playing.
• Stay truly independent, with decisions driven by the team , not by investors or a board.
• Thrive in a culture of passion, trust, and shared ownership; where transparency matters and egos don't.

The base salary range for this role is $174,800 - $221,817. Depending on your experience and level (whether you're closer to mid-level or principal), your offer may land above or below that range. We don't just look at years on a résumé , we think about the impact you can have on the team and the game. Of course, compensation at Bonfire goes beyond salary. Every new teammate receives equity, plus a full benefits package and some extra perks to make work (and life) better.

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We're seeking a highly experienced, self-starting, and innovative Senior AI Product Designer to join the Gemini App Team. As a key member of our team, you will work hand-in-hand with engineers, research scientists, and product managers to design and build intuitive solutions to help people around the world use Google’s best AI models to enrich their lives and realize their potential.

Responsibilities:

• Architect intuitive AI experiences: Lead the design of user interfaces and consumer experiences for Gemini across diverse platforms and modalities, ensuring natural and efficient interaction.
• Key contributor to product strategy: Collaborate with Product and Engineering to define product strategy and influence key cross-functional decisions that drive positive user outcomes.
• Innovate through user-centered design: Translate user needs, technical understanding and business requirements into groundbreaking design solutions that amplify people’s capabilities and enrich their lives.
• Design with systems-thinking approach: Apply a systems-thinking approach to design user interfaces, understanding the impact of individual components and features on the overall AI-powered experience, optimized for AI's probabilistic nature and multimodal capabilities.
• Craft visually compelling interfaces: Create high-fidelity visual designs, encompassing layouts, typography, color palettes, and iconography, that are aesthetically pleasing and highly usable.
• Motion and interaction design: Design engaging interactions and fluid interfaces, utilizing tools like Origami Studio, Principle, and Protopie, and create motion designs that enhance user experience and effectively communicate complex information.
• Bridge design and technology: Leverage technical understanding to use system instructions and diverse prototyping methods, simulating model responses to inform design requirements and approaches.
• Champion design innovation: Stay current on the latest design trends and technologies, in consumer technology, generative AI and natural language processing, and leverage this knowledge to innovate.
• Design for ethical and societal impact: Consider the intricate interplay of AI models, user interface, ethical considerations, and societal impacts to develop responsible solutions.

Minimum Qualifications:

• Bachelor's degree in Design, Human-Computer Interaction, or a related field.
• 7+ years of experience designing user interfaces for complex software applications, with specific experience designing for conversational AI / LLMs.
• A robust portfolio showcasing fluency in visual, motion, and interaction design skills, with specific examples of work specific to AI-powered interfaces and interactions and for leading consumer applications.
• Proficiency in designing user-centric experiences across diverse platforms (web, desktop, mobile), with a strong understanding of how to adapt AI interactions to different device contexts.
• Demonstrated expertise in designing intuitive and engaging interactions for AI-driven products.
• Demonstrated expertise in guiding cross-functional teams through ideation, validation, and iteration processes, transforming abstract ideas into shippable product.
• Familiarity with behavioral data and strong capability to create data-driven designs, while being equally capable of moving forward in the absence of data.
• Proficiency in design tools such as Figma, Sketch, Adobe Creative Suite, and Principle.
• Excellent communication and collaboration skills with the ability to listen, articulate positions, and challenge partners with new product design thinking.
• Mastery in presentation and storytelling capabilities with the ability to communicate effectively to leadership and cross company teams.
• A strong systems thinker with a passion for creating innovative and user-centered AI design solutions. Ability to understand the broader implications of AI technologies and design experiences that are ethical, accessible, and impactful.
• Demonstrated experience thriving in a startup environment, comfortable with the ambiguity, rapid iteration, and resourcefulness required to deliver impactful designs in a fast-paced, evolving landscape.

Preferred Qualifications:

• Demonstrated ability to foster divergent design thinking and translate complex AI concepts into user-centered product visions.
• Proven experience in shepherding radical ideas that leverage AI to create truly transformative product experiences.
• Experience prototyping interactive experiences using tools like Figma, ProtoPie, or Framer.
• Experience with front-end development technologies (HTML, CSS, JavaScript).
• Experience driving product impact through close collaboration with user research, including expertise in user research methodologies for AI product evaluation.
• Experience mentoring more junior teammates, but note this is not a manager role.

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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 a pioneering company shaping the future of AI.

Role Summary

We are seeking a talented and experienced Product Manager to define and execute the product strategy for our GenAI-native coding assistant for developers, one of our most strategic new product lines: Mistral Vibe.

Built on top of the most performant coding AI models in the market, with more models to come, this product is developed within a leading open source GenAI company that is already deeply trusted by the global developer and engineering community.

The ambition is clear: make this assistant the preferred tool developers code with and establish it as a market leader in its category.

As Product Manager, you will contribute to this product end to end, from vision to execution.

You will define the product strategy, PMF, GTM and growth roadmap and lead the development of a product already backed by a strong pipeline of enterprise customers.

Working closely with world-class science, engineering and go-to-market teams, you will scale adoption across individual developers and enterprises, grow an existing product motion and consolidate and expand the team around it.

Your work will directly contribute to building a hundreds of millions revenue stream for Mistral while delivering a tool that significantly increases the productivity and creativity of thousands of developers across the globe.

What You Will Do

Define the Future

• Set the vision: Shape and evangelize a compelling product strategy for Mistral's GenAI-native coding assistant, ensuring alignment with company goals and market opportunities.

• Spot the gaps: Lead market and UX research to uncover unmet needs, competitive whitespaces, and emerging trends enterprise product management.

• Validate product direction: Engage directly with customers and partners to validate positioning, value propositions and feature priorities.

Build & Ship

• Own the lifecycle: Drive end-to-end product development, from ideation to launch and iteration—balancing speed, quality, and user delight.

• Champion the user: Partner with design and research to craft intuitive, high-impact and developer first experiences, using data and feedback to refine continuously.

Scale & Execute

• Go-to-market: Collaborate with marketing and sales to launch products successfully, including pricing, positioning, and adoption strategies.

• Align stakeholders: Rally science, engineering, design and business teams around priorities, trade-offs and timelines.

• Prioritize ruthlessly: Maintain a dynamic roadmap that delivers quick wins while advancing long-term bets.

• Evangelize Mistral Vibe: Act as a product ambassador through customer engagements, thought leadership, writing, and participation in industry and developer events.

Required Qualifications

• Product leadership: 10+ years of experience in product management within high-performing product organizations.

• Business and GTM acumen: Proven experience owning product vision and strategy for enterprise-focused products.

• Builder mindset: Demonstrated experience operating in ambiguous, fast-growing environments.

• Developer product expertise: Deep understanding of developer-facing products, developer tools and the day-to-day workflows of software engineers.

• Generative AI and science collaboration: Solid understanding of how GenAI and large language models are built, trained and deployed.

Preferred Qualifications

• Engineering background: Previous experience as a software engineer or strong hands-on engineering background.

• LLM product experience: Direct experience building or scaling LLM-powered products, with a strong understanding of how generative AI impacts product discovery, roadmapping, evaluation, and iteration cycles.

Additional Information

Location & Remote

This role is based in one of our European offices (Paris, France and London, UK).

We will only consider candidates who either reside or are open to relocating there.

We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication.

Our remote policy aims to provide flexibility, improve work-life balance and increase productivity.

What We Offer

• Competitive salary and equity (stock-options)

• Health insurance

• Transportation allowance

• Sport allowance

• Meal vouchers

• Private pension plan

• Generous parental leave policy

• Visa sponsorship

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Responsibilities:

• Drive the development of AI features that drive impact
• Partner with Engineering to set strategy and priorities for teams and projects
• Define a vision and roadmap for AI-driven user experiences
• Build and maintain a strong understanding of AI technology in the payment industry
• Partner with cross-functional teams to improve features

Requirements:

• 5+ years of product management experience
• Proven track record shipping and iterating on AI features that drive impact
• Experience with Fintech or SaaS industry
• Experience working in a fast-paced, scrappy environment

Preferred skills:

• Experience with AI model training, evaluation, and iteration
• Ability to communicate clearly at different altitudes, including driving alignment with senior stakeholders
• An affinity for the fast-paced, changing environment of a start-up, a sense of humor, and get-it-done personality

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This is a senior role for highly ambitious designers who can see the big picture while mastering the details. You'll be responsible for guiding the vision of a level from concept through launch and beyond, while also working closely with cross-disciplinary teams to ensure every element feels cohesive and player-first.

Responsibilities

• Own and drive level design from early paper designs to post-launch refinement, maintaining consistent quality and vision.
• Collaborate closely with art teams, guiding them with a clear level design perspective to ensure both aesthetics and gameplay align seamlessly.
• Partner with narrative, gameplay, and technical teams to deliver integrated, player-first experiences.
• Champion the design vision, balancing moment-to-moment intensity, long-term engagement, and strategic depth.
• Stay ahead of industry trends in PvP, bringing competitive insights, innovation, and ambition to every design decision.
• Leverage player feedback, data, and iteration to ensure the best experiences for our players.

Requirements

• 5+ years of level design experience, with multiple shipped AAA shooter/action titles.
• Deep knowledge of the gaming industry, with a particular focus on player-vs-player multiplayer design.
• Proven ability to lead pods and guide large, multidisciplinary teams, especially in collaboration with art teams.
• Strong proficiency in blockout tools, iteration workflows, and industry-standard or proprietary editors.
• Exceptional communication skills, with a proactive, collaborative, and ambitious mindset.

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As a Software Engineer at Ford Motor Company, you will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs both on-prem and cloud native. You will work on a Balanced Product Team and collaborate with the Product Manager, Product Designer, and other Software Engineers to deliver analytic solutions.

Responsibilities

• Participate in and/or lead the development of requirements, features, user stories, use cases, and test cases.
• Author process and design documents.
• Work with the Business Customer, Product Owner, Architects, Product Designer, Software Engineers, and Security Controls Champion on solution design, development, and deployment.
• Generate metrics, perform user access authorization, perform password maintenance, and build deployment pipelines.
• Participate and/or lead incident, problem, change, and service request-related activities, including root cause analysis (RCA) and proactive problem management/defect prevention activities.

Qualifications

• 5+ years of experience in Software Engineering.
• Bachelor's degree in computer science, computer engineering, or a combination of education and equivalent experience.
• Design, develop, and deploy scalable and robust software solutions that integrate and leverage state-of-the-art Generative AI models (e.g., LLMs, Diffusion Models) into production systems and applications.
• Build and optimize the infrastructure, pipelines, and tools necessary for efficient training, fine-tuning, evaluation, and serving of Generative AI models, ensuring high performance, reliability, and cost-effectiveness.
• 1+ year of experience with developing for and deploying to cloud platforms (e.g., GCP, Azure).
• Implement and optimize cloud services and tools (e.g., Terraform, BigQuery, GCP).
• 2+ years of REST API or related development.
• 2+ years of experience in development using a combination of the following technologies:
• Languages: Java, JS, TS, Python
• Frontend frameworks: Angular, React
• Backend frameworks: Spring Boot, Node
• Proven experience understanding, practicing, and advocating for software engineering disciplines from Clean Code, Software Artmanship, and Lean, including:
• Paired/Mobbing programming
• Test-first/Test Driven Development (TDD)
• Evolutionary design
• Minimum Viable Product
• Willingness to collaborate daily with team members.
• A strong curiosity around how to best use technology to amaze and delight our customers.
• Using CI/CD tools and pipelines (e.g., Tekton, Jenkins, GIT Action, Cloud Build, etc.).

Benefits

• Immediate medical, dental, and prescription drug coverage
• Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care, and more
• Vehicle discount program for employees and family members, and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.

Salary

This position is a salary grade 8 and ranges from $113,580 to $190,500.

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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.

About the team

OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.

About the role

Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.

You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.

This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically <0%, with occasional spikes for key embeds or launches.

In this role you will

• Provide hands-on leverage to customer pods: embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.

• Turn repeated signals into platform bets: translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.

• Raise the engineering bar through tooling and mentorship: set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.

• Collaborate as part of cross-functional platform teams: partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.

• Lead complex platform capabilities end-to-end when needed: for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.

You might thrive in this role if you

• Bring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.

• Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).

• Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).

• Communicate clearly across engineering, product, go-to-market, and executive audiences, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.

• Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable product requirements and reusable platform capabilities, not one-off fixes or bespoke delivery work.

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.

Experience

5+ years of software engineering or ML engineering experience

Employment Type

Full-time

Workplace Type

Hybrid

Category

Engineering

Industry

Technology

Salary Range

$230K – $385K

Required Skills

• Software engineering
• ML engineering
• Architecture
• Product shaping
• Refactoring
• Hardening
• Reusable abstractions
• Systems thinking

Preferred Skills

• Experience in high-ambiguity, fast-iteration environments
• Customer-adjacent technical work
• Reliability, security, and governance
• Communication across engineering, product, go-to-market, and executive audiences

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Platform Engineer, Forward Deployed Engineering (FDE) - NYC

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $230K – $385K

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) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.

The FDE Platform team is primarily a leverage function that scales the FDE org’s impact to OpenAI’s platform and products. We provide hands-on leverage by embedding with customer-tagged FDE pods to aid in architecting, product shaping, refactoring, and building. This team is perfect for highly collaborative software engineers who love innovating on cutting-edge products with other builders.

About the role

Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.

You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.

This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically <%, with occasional spikes for key embeds or launches.

In this role you will

• Provide hands-on leverage to customer pods: embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.

• Turn repeated signals into platform bets: translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.

• Raise the engineering bar through tooling and mentorship: set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.

• Collaborate as part of cross-functional platform teams: partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.

• Lead complex platform capabilities end-to-end when needed: for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.

You might thrive in this role if you

• Bring 5+ years of software engineering or ML engineering experience with a track record of shipping 0→1 capabilities that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.

• Have owned customer-adjacent technical work end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).

• Have built or operated systems where reliability, security, and governance materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).

• Communicate clearly across engineering, product, go-to-market, and customer-facing teams to drive alignment and shared understanding of customer needs and technical tradeoffs.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

People

Compensation

• $180K – $200K • 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 People Programs team at OpenAI plays a pivotal role in creating an environment where every employee can thrive, grow, and contribute to our mission of ensuring that AGI benefits all of humanity. This expanding team develops and executes human-first strategies and programs that support our rapid growth, unique culture, and innovative spirit.

About the Role

We’re looking for a Manager Development Specialist to support manager development programming and coaching through strong program management and logistics at OpenAI.

This role owns the end-to-end operations and systems that enable the smooth, scalable delivery of manager development programs at OpenAI. It supports virtual and in-person programs, manages learning systems and data, and helps scale impact through coaching operations, facilitation support, and manager-facing resources—partnering closely with L&D, HRBPs, Workplace, and external partners.

Your Responsibilities:

• Program Operations and Facilitation: Drive day-to-day logistics for manager development programs, including scheduling, communications, stakeholder coordination, and smooth execution across virtual and in-person formats; regularly facilitate live sessions.

• Systems & Data: Own program setup, enrollment, and tracking in our Learning Management System (Sana) to support accurate measurement, reporting, and scalable delivery of learning programs.

• Instructional Design: Contribute to the design and iteration of manager development programs using adult learning principles to meet evolving business needs as the organization scales.

• Coaching Operations: Manage intake, onboarding, scheduling, and tracking for coaching participants, cohorts, and timelines in partnership with HRBPs, leaders, and external coaching providers.

• Learning Content & Enablement: Create, maintain, and scale manager-facing resources—including async training, job aids, templates, toolkits, and intranet content—to reinforce learning beyond live programs.

• Team Support: Provide ad hoc program, facilitation, and operational support to the team as needed.

We’re Seeking:

• 5+ years of experience designing, managing, facilitating, and scaling learning or manager development programs in a fast-paced, high-growth environment, with exposure to complex, multi-stakeholder initiatives.

• Strong end-to-end program ownership, including translating business needs into learning experiences, managing program workflows and systems, and ensuring high-quality delivery across manager and leadership programs.

• Experience leveraging learning systems and data (e.g., LMS platforms such as Sana or similar) to drive enrollment strategy, program sequencing, measurement, and continuous improvement—not just administration.

• Highly organized and detail-oriented, with the ability to balance strategic program thinking and hands-on execution, anticipate risks, and adapt programs in real time.

• Clear and influential communicator, comfortable partnering with L&D peers, HRBPs, leaders, facilitators, and external vendors to align on goals, expectations, and outcomes.

• Experience supporting and contributing to live learning experiences, including virtual and in-person sessions, with the ability to assist with facilitation, content iteration, or delivery as needed.

• Self-directed and proactive, with strong judgment and comfort operating in ambiguity while continuously improving program effectiveness and participant experience.

• Demonstrated experience supporting manager, leadership, or coaching programs—with an understanding of the unique challenges of manager capability-building—strongly preferred.

Workplace & Location

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Product Manager, Model Behavior

Location

San Francisco

Employment Type

Full time

Department

Product Management

Compensation

• $230K – $325K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Model Behavior team is responsible for how OpenAI’s models behave. We’re focused on making current and future models better for people at scale—improving existing capabilities, shaping emerging ones, and scaling model behavior tuning. We collaborate across the company, as our work directly impacts many teams.

About the Role

As a Product Manager for the Model Behavior team, you'll be at the forefront of defining and guiding the future of how our AI models behave in real-world applications. You’ll set clear priorities and drive impactful improvements to model capabilities, balancing user needs, safety considerations, and technical innovation. This role is perfect for a proactive, technically adept PM who thrives on solving challenging, ambiguous problems through structured product thinking and close collaboration.

This position is based in San Francisco, CA, with relocation assistance available.

In this role, you will:

• Define strategic priorities and roadmap for improving model behavior, focusing on user outcomes, safety, reliability, and emerging capabilities. Care for our users, and humanity as a whole, are core to this role.

• Partner closely with research, engineering, product design, and policy teams to translate strategic goals into actionable product initiatives.

• Develop scalable methodologies, tools, and processes for evaluating, tuning, and iterating on model behavior.

• Synthesize user research, community feedback, and quantitative insights into targeted improvements in our AI models.

• Establish and iterate on clear, actionable metrics that accurately reflect model quality and user experience at scale.

You might thrive in this role if you:

• Have 6+ years of product management or related industry experience.

• Have an interest in fields such as human-computer interaction, psychology, philosophy, or other relevant fields.

• Are excited about building not just a product, but a new form of intelligence, with the aim to benefit humanity

• Have hands-on experience driving consensus and action in ambiguous spaces.

• Know how to ask questions that uncover underlying constraints and assumptions.

• Excel at collaborating across diverse teams and communicating complex ideas clearly.

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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Product Manager, Codex

Location

San Francisco

Employment Type

Full time

Location Type

On-site

Department

Product Management

Compensation

• $255K – $325K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great in the Codex.

About the Role

As the product manager on Codex, you will lead the development of a highly technical product designed for a technical audience. Much of the work is 0–1, requiring you to shape product direction amid ambiguity and shape what the future of agents will look like. You’ll partner closely with world-class engineers and researchers to bring cutting-edge capabilities into the hands of developers, and you’ll shape how our AI tools support software development workflows.

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:

• Shape product strategy for Codex, from early concepts through launch and iteration.

• Collaborate with engineering and research to translate breakthroughs into usable, high-value developer experiences.

• Deeply understand developer workflows and identify opportunities where AI can make them faster, more intuitive, and more powerful.

• Navigate ambiguity and make thoughtful trade-offs in 0–1 product environments.

• Partner with cross-functional teams to deliver quickly while maintaining a high bar for technical quality and user experience.

You might thrive in this role if you:

• Bring a strong technical background and have recently shipped code to production

• Have a deep intuition for developer workflows and a passion for building tools that make coding more productive and enjoyable.

• Can define product direction in ambiguous, 0–1 environments and rally teams around it.

• Demonstrate strong product intuition, making thoughtful prioritization and sequencing decisions.

• Have experience driving execution across engineering, design, and research.

• Bring an entrepreneurial mindset and adaptability, whether from startup or high-growth company environments.

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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GTM Onboarding Program Manager

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Compensation

• $177K – $251K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the team

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

About the role

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

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

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

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

In this role, you will:

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

• Translate hiring forecasts and business priorities into structured onboarding execution

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

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

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

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

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

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

You'll thrive in this role if you:

• Enjoy turning complex programs into repeatable systems that scale

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

• Are highly organized and comfortable managing multiple workstreams simultaneously

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

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

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

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

Basic qualifications

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

• Strong program management and organizational skills

• Experience working cross-functionally with multiple stakeholders

• Ability to manage complex logistics and recurring program operations

• Willingness to work in-office in San Francisco

Preferred qualifications

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

• Experience scaling onboarding programs in high-growth environments

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

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

About OpenAI

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

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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

Singapore

Employment Type

Full time

Location Type

Hybrid

Department

Consumer Products

About the Team

The Consumer Products team at OpenAI builds the hardware that brings advanced AI technology directly into people’s hands. We design, engineer, and manufacture next-generation consumer devices that combine elegant design, robust engineering, and cutting-edge AI. Our team spans mechanical, electrical, and systems engineering — partnering closely with industrial design, operations, and software to create seamless, high-quality experiences that make AI more accessible and useful.

About the Role

As a Hardware Engineer on the Consumer Products team, you’ll contribute to the design, development, and integration of complex hardware systems for new AI-driven devices. You’ll work across disciplines to translate early product concepts into reliable, scalable, and beautifully crafted products ready for mass production.

This role is based in Singapore. We follow a hybrid model (four days per week in the office) and offer relocation support for new employees. Occasional travel to manufacturing partners may be required.

In this role, you will:

• Design, prototype, and validate mechanical and electrical subsystems from early development through mass production.

• Collaborate closely with design, operations, and manufacturing teams to ensure quality, reliability, and scalability.

• Drive DFM/DFA reviews, design iterations, and bring-up of prototype and pilot builds.

• Debug complex system-level issues and lead root-cause investigations and resolutions.

• Partner with global suppliers and cross-functional teams to ensure flawless execution from concept to launch.

You might thrive in this role if you:

• Have 6+ years of experience in consumer hardware, consumer electronics, or advanced product development.

• Bring deep technical fluency in mechanical, electrical, or systems engineering (cross-disciplinary experience a plus).

• Have taken at least one consumer product from concept to mass production.

• Are energized by hands-on problem solving, iteration, and building in fast-paced environments.

• Value collaboration, craftsmanship, and user experience — and are excited to help shape how people interact with AI.

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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About Us

Fifth Dimension is bringing the magic of AI automation to document-heavy industries — starting with commercial real estate. Our AI workspace helps leading investment managers, owners, and operators across the UK and US automate complex workflows, extract insights from critical documents, and make faster, smarter investment decisions.

We’re a rapidly scaling PropTech platform headquartered in London and New York, backed by Tier 1 American and European investors and approaching Series A. Founded by Johnny Morris (18+ years applying data and analytics in real estate) and Dr. Kate Jarvis (Stanford PhD with 12 years of executive leadership across Silicon Valley and London startups), we combine deep real estate expertise with world-class AI execution.

At Fifth Dimension, we value ownership, experimentation, and thoughtful challenge. Our values — Own It. Ship It. Don’t Be Boring. — guide how we build, sell, and win.

About the Role

We’re hiring a New York–based Enterprise Account Executive to drive explosive growth across North America.

This is not a quota-maintenance role. This is a 10x sales role.

You will own and close new business with enterprise commercial real estate owners and operators, selling a transformative AI platform into sophisticated enterprise environments. If you thrive on complex, consultative sales cycles and closing six- and seven-figure deals, this is your opportunity.

Reporting into the Head of Sales, you will own the full sales cycle while helping define and refine our US go-to-market motion.

This role is ideal for someone who:

• Has consistently been a top rep

• Thinks in systems and efficiency

• Tests and iterates weekly, not quarterly

• Sees a process and immediately asks, “How can I make this 3x better?”

You won’t just close deals.

You’ll help define what world-class enterprise selling looks like at Fifth Dimension.

What You’ll Do

🚀 Drive Explosive Revenue Growth

• Own and exceed revenue targets

• Source and close complex enterprise deals

• Execute our US enterprise sales strategy across institutional CRE firms

• Build and maintain a robust, self-generated pipeline

🏢 Engage the Industry’s Most Sophisticated Buyers

• Identify, engage, and build trusted relationships with C-suite executives at leading real estate firms

• Navigate complex buying committees and multi-stakeholder sales processes

• Travel extensively (25%+) for client meetings, conferences, and 2x annual London trips

📈 Lead Market Discovery & Category Creation

• Test and refine US-specific messaging at speed

• Identify high-value vertical segments across owners, operators, and investment managers

🎯 Master Sales Efficiency

• Design and implement personal sales methodologies that maximize output

• Develop tracking systems and metrics that demonstrate true 10x rep performance

• Build replicable playbooks that form the foundation of future team scaling

💡 Drive Product-Market Fit

• Partner closely with Product, Solutions, and Engineering to shape roadmap direction

• Demonstrate transformational ROI

• Turn customer wins into case studies and strategic marketing assets

🧭 Shape Company Strategy

• Contribute to pricing, packaging, and go-to-market decisions in North America

• Support fundraising with frontline customer insights

• Help define and execute our long-term US expansion strategy

What We’re Looking For

Must Have

• 5+ years of enterprise sales experience within PropTech or Commercial Real Estate

• Proven success closing $200K–$1M+ ACV deals as an individual contributor

• Consistent overperformance as a full-cycle Account Executive at early- to growth-stage B2B SaaS companies

• Experience selling complex, technical products (AI/ML, deeptech, fintech, or similar)

• Strong executive presence and ability to engage C-level stakeholders

• Deep understanding of institutional commercial real estate buyers

• A consultative, solution-selling mindset

• Rapid iteration skills — you test, learn, and adapt constantly

• Based in New York with established CRE networks

• Willingness to work in-office 3x/week (Mid-town Manhattan)

Nice to Have

• Venture-backed startup experience through multiple funding rounds

• Experience contributing to GTM strategy in scaling environments

• Growth hacking or demand generation experience

• Advanced CRM and sales automation expertise (HubSpot)

• Strong personal brand within real estate or PropTech

Why Join Fifth Dimension?

This is a rare opportunity to:

• Close large, meaningful, transformative deals

• Sell a genuinely differentiated AI product with clear ROI

• Join at a pivotal pre–Series A growth stage

• Work with deeply experienced, high-caliber founders

• Help build the category leader in AI-powered commercial real estate

And yes — we believe this is hands down one of the strongest product, culture, and leadership environments you’ll find in PropTech today.

If you want to:

• Close big deals

• Build something lasting

• Accelerate your career

• Be part of a record-setting team

We should talk.

Compensation & Benefits

• $130K–$150K base salary

• Uncapped commission (targeting 50/50 OTE split)

• Meaningful equity

• 2% company-sponsored 401(k) contributions

• Healthcare, dental, life insurance

• Unlimited PTO

• $100/month wellbeing budget

• $1,000 annual training budget

• 14 weeks paid parental leave (primary caregiver)

• 6 weeks paid parental leave (secondary caregiver)

• Tailored support for exceptional life challenges (IVF, ADHD/Autism diagnosis, gender-affirming care, therapy, and more)

The Process

1. Resume + cover letter + candidat

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Microsoft are looking for a talented Senior Product Manager - Web & Mac Experiences (AI/ML) at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI and ML technologies. You'll work directly with leadership to shape the company's direction in the AI and ML markets.

About the Role

As a Senior Product Manager - Web & Mac Experiences (AI/ML), you will be responsible for executing on web/macOS scenarios end-to-end; defining IA, interaction patterns, and component reuse. You will drive performance & reliability KPIs (FMP, input latency, memory) and support experimentation. You will partner with Design on design-system alignment, accessibility (WCAG), internationalization, and responsive behavior. You will coordinate dependencies (identity, payments, content, safety) to deliver cohesive multi-surface journeys. You will report progress and risks to stakeholders; anticipate blockers and drive mitigation. You will build durable telemetry, quality bars, and operational rhythms to sustain velocity and UX quality.

Accountabilities

• Execute on web/macOS scenarios end-to-end; define IA, interaction patterns, and component reuse.
• Drive performance & reliability KPIs (FMP, input latency, memory) and support experimentation.

The Candidate we're looking for

Experience:

• 5+ years in Product Management.

Technical skills:

• Strong system-level thinking across platform capabilities, browser constraints, and performance tradeoffs.
• Familiarity with macOS HIG and modern web app foundations (React/TypeScript, perf tooling).

Personal attributes:

• Proven track record shipping desktop and/or web experiences at scale with accessibility baked in.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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Microsoft are looking for a talented Member of Technical Staff, Applied Scientist - Windows Copilot at their Redmond office. This role sits at the heart of redefining how AI enhances everyday computing. You'll work directly with leadership to shape the company's direction in the Windows Copilot team.

About the Role

The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack—from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We’re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it’s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all.

As an Applied Scientist, you will lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities.

Accountabilities

• Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
• Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
• Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
• Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
• Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
• Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
• Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.

Technical skills:

• Proven track record of deploying machine learning models in large-scale production environments.
• 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.

Personal attributes:

• Strong problem-solving skills and ability to work independently.
• Excellent communication and collaboration skills.
• Ability to work in a fast-paced environment and adapt to changing priorities.

Benefits

• Competitive salary range: $119,800 - $234,700 per year.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• 401(k) matching program.
• Paid time off and holidays.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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What you'll do

• Context Engineering: Design, test, and optimize context strategies and system prompts that shape answer engine behavior across products, features, and use cases.
• Evaluation Systems: Build automated and semi-automated evaluation pipelines that measure model quality, catch regressions, and scale across product surfaces.
• Model Launch Support: Partner with research and engineering to validate model behavior before and during rollouts, ensuring smooth transitions with no degradation.
• Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects — for both internal and production-facing systems.
• Cross-functional Collaboration: Work closely with design, product, and research teams to translate product goals into concrete model behavior requirements.
• Knowledge Sharing: Help engineers across teams build intuition for prompt design, context engineering, and evaluation best practices.
• Staying Current: Track the latest alignment, evaluation, and prompting techniques from industry and academia, and bring the best ideas back to the team.

What you need

• Experience designing evaluations, benchmarks, or metrics for AI systems.
• Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
• Ability to manage multiple concurrent projects in a fast-moving environment.
• Strong experience with Perplexity or other frontier AI models in production settings.
• Demonstrated experience with Python — you'll prototype, debug, automate, and build systems at scale.
• 3+ years of experience working with LLMs in a product or research setting.

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