Your responsibilities will include:

Architecting and owning the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more).

Designing and deploying scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.

Building ML-powered marketing targeting systems that identify the right users for the right campaigns , new buyer discounts, drop campaigns, weekly deals, and seasonal promotions , driving conversion without conditioning users to wait for discounts.

Leveraging Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts.

Driving deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.

Partnering closely with Shop, Game Commerce, Revenue Infra, ML Infra, and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap.

To be successful in this role, you will need:

4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.

Deep expertise in applied deep learning , particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.

Strong proficiency in Python and deep learning frameworks (PyTorch preferred).

Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.

Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones.

Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.

Strong cross-functional instincts , you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.

Bonus skills include experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems, familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization, and familiarity with loyalty, rewards, or incentive programs.

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The Head of Programmatic Outcomes (Product) shapes the product-led growth strategy, in-product activation design, and adoption loops that reach every knowledge worker , not account by account, but at population scale , in deep partnership with Anthropic’s Product, Growth Marketing, and Strategy functions.

This role sits at the intersection of Product, CS, Growth Marketing, and Strategy , and succeeds by leveraging what each of those teams already does well. You drive the activation playbook the entire Success function executes, co-design the in-product onboarding sequences that convert seat activation into habitual use, and partner alongside Product Engineering and the Systems capability leads to drive high fidelity feedback between users and builders.

The mandate is to make Claude products so easy to adopt that knowledge workers build habits around them , then codify the plays so they scale beyond what any account team could achieve alone. Success comes through influence and coordination across functions, filling genuine gaps.

Responsibilities:

• Drive the PLG activation strategy across Claude Teams, Claude for Enterprise, Claude Code, and API , partnering with Product PMs and Growth Marketing to define plays that drive adoption from first login to habitual daily use

• Co-design onboarding sequences, in-product nudges, and activation milestones with Product , then codify them so the Customer Success team and partners execute at scale

• Partner with Product and Strategy to define which usage signals indicate healthy vs. at-risk accounts and trigger the right human or automated interventions

• Partner closely with Product PMs to ensure the activation motion is built into the product, not bolted on , serving as the dedicated GTM voice advocating for UX patterns and enablement features that reduce time-to-value, and reducing duplication between Product-owned onboarding and CS-owned playbooks

• Develop and test hypothesis-driven activation plays across specific knowledge-worker use cases (Finance, Legal, HR, exec workflows) , codifying what converts at scale

• Hold the connective tissue across the Partners and Growth Marketing capability leads to ensure PLG motions are product-anchored, not just relationship-driven or campaign-driven , this leader is the integration point, not a parallel function

• Establish adoption benchmarks, population-level penetration metrics, and health indicators the programmatic team uses to track progress on the knowledge-worker gap

• Feed product activation learnings back into the Success motion , creating the intelligence loop between population-level data and account-level execution

You may be a good fit if you have:

• 8+ years in PLG, growth PM, product marketing, or CS strategy with direct ownership of activation or adoption metrics

• Experience designing and running product-led onboarding or activation programs at enterprise SaaS or AI companies , not just contributing to them

• Deep understanding of how product telemetry translates into adoption signals and how to trigger the right human and automated interventions

• Strong cross-functional fluency: you’ve worked embedded with Product teams while maintaining a GTM orientation and commercial accountability

• Track record of building programmatic motions that generate scale across a large customer base , not one-off account customizations

• Real perspective on what drives knowledge workers to build habits around new tools, backed by experience

Logistics

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

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

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

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

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

How we’re different

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

Come work with us!

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

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes.

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

As a Senior Technical Account Manager, you will focus exclusively on Workforce Identity, serving as a trusted technical advisor and advocate for some of our largest customers. You will focus on strategic account alignment and broad deployment strategies to drive lasting success through elevated technical maturity.

Key Workforce Identity Solutions You Will Support: The Okta Platform secures employees, contractors, and partners across every part of the Identity lifecycle, including governance, access, and privileged controls. Products include:

• Identity & Access Management (IAM): Single Sign-On (SSO), Adaptive MFA, Device Access, API Access Management, Secure Partner Access, Access Gateway, and Universal Directory.
• Identity Governance & Administration (IGA): Lifecycle Management and Identity Governance.
• Privileged Access Management (PAM): Privileged Access.
• Identity Threat Detection & Response (ITDR): Identity Security Posture Management and Identity Threat Protection.

What You'll Be Doing

Strategic Customer Partnership & Influence:

• Build deep, long-lasting relationships with customers as their go-to technical advisor.
• Earn Okta trusted advisor status with customer identity owners and technical leadership, known as the primary point of contact for technical leaders.
• Possess and masterfully apply comprehensive technical expertise to solve complex problems, design sophisticated solutions, and influence customer strategies.
• Collaborate with customers to design identity strategies aligned with their business objectives.
• Leverage tailored technical plans for success with a portfolio of customers of increasing size and complexity.
• Help find ways to build upon and expand customers' adoption of the Okta footprint through additional use cases and increasing security posture.
• Use knowledge of how Okta's product differentiators lead to positive outcomes for customers, securing the Okta footprint against competitive displacement.

Complex Problem Resolution & Advocacy:

• Demonstrate advanced problem-solving skills, capable of dissecting complex, multi-faceted problems and orchestrating effective solutions.
• Proactively identify risks and create mitigation plans, establishing actions, ownership, and driving resolutions.
• Able to handle most customer technical escalations independently, or collaboratively with the Customer Success Manager (CSM).
• Manage competing priorities with little impact on delivery, ensuring follow through on all activity.
• Demonstrate a strong ability to represent and advocate for the customer with cross-functional teams (including engineering and support), while supporting policies and decisions that are in the best interests of the company.
• Facilitate difficult discussions with senior stakeholders.

Thought Leadership & Team Enablement:

• Serve as a thought leader, providing best practices, workshops, and training.
• Generate specific vertical/use case insights and thought leadership, demonstrating an advanced level of Okta platform and identity domain knowledge, with a focus on enhancing customers' security posture.
• Generate higher value for customers and deeper TAM engagement through repeatable asset and strategy creation for the team.
• Mentor peers and colleagues, upskilling capability with a focus on technical development.
• Contribute to the development of adoption and retention strategies, sharing knowledge of customer patterns, and leading execution.
• Lead project tasks or initiatives aimed at improvement of TAM processes and knowledge.

What You'll Bring to the Role

• Requires 8+ years of related experience in a professional role, or equivalent experience (e.g., 6+ years with a Master’s degree).
• 3+ years of experience as a Technical Account Manager (TAM) or a comparable role such as Technical Consultant, Product Management, or Solution Architect.
• 3+ years in identity and access management, including SSO, MFA, lifecycle management, or security best practices.
• Education: BA/BS/MS in Computer Science, Information Technology or related discipline, or equivalent work experience required.
• Certifications: Okta Certified, CISSP, or equivalent.
• Technical Mastery (Workforce Identity Focus):
• Extensive proficiency utilizing Okta feature sets and platforms to portray a design, or architecture, that satisfies well-known customer use cases to a customer technical persona including architect.
• Able to modify existing quickstart or code samples to adapt them to the customer's requirements.
• Confident in assisting TAM peers on technical challenges, or on behalf of other TAMs customers.
• Solid understanding of one or more of the following key areas:
• Technologies and protocols to support identity federation and robust access control models (e.g., SAML 2.0, WS-Federation, OAuth, OpenID Connect).
• Experience dealing with legacy applications in a hybrid IT environment with non-standard applications (i.e., those that do not support modern identity federation protocols).
• SaaS deployment such as Salesforce, Box, Office 365, Workday, and HR as master for identities.
• Lifecycle management scenarios to 3rd party systems and applications (Workflows, HR-driven provisioning, MSFT integrations, SCIM, etc).
• Enterprise applications in the ecosystem to provide identity and attributes to applications or to harness an external application to help drive business processes (ITSM, HR, etc).
• Security and performance monitoring and 3rd party signals integrations (SEIM, MDM, WAF, etc).
• Awareness of augmentation of identity protocols and flows, capable of identifying augmentation that requires additional review.
• Communication and Leadership Skills:
• Excellent communication skills, capable of translating complex technical topics into actionable insights.
• Convey complex ideas in a compelling and easily understandable manner.
• Ability to set expectations and communicate goals and objectives with customers at various levels, up to CxO.
• Skilled in setting and enforcing appropriate boundaries with both internal and external stakeholders.
• Ability to track and influence customer behavior.

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

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

The Team

Technical Account Management (TAM) is a global team that owns Auth0 customer success within Okta’s broader Customer Success team. We collaborate with Auth0’s customers to share knowledge, and best practices and make recommendations to continuously innovate around identity and security.

As our customer’s strategic identity coaches, we are Auth0 product experts, and we enable Auth0's worldwide growth by educating existing customers and ensuring they are happy and successful.

We share our technical and product expertise with customers through presentations, demonstrations, technical evaluations, and ongoing recommendations on Auth0 and industry best practices.

The Opportunity

A TAM specializing in enterprise identity, including the Auth0 product and adjacent technologies. The TAM will provide Okta’s customers with strategic technical guidance over the comprehensive suite of products and features available at Okta.

They are held in high regard as a technical expert for how Okta’s solutions translate to business value. They are also held in high regard for their ability to understand the code that makes up identity authentication pipelines, Auth0, after all, is developer-friendly.

The TAM specialization calls for an understanding of hybrid scenarios that capitalize on Auth0’s ability to manage authentication, authorization, and lifecycle management capabilities for consumer SaaS, business-to-consumer (B2C), and general CIAM applications.

The opportunity is that as an Auth0 TAM you will get to guide some of the world's largest companies in their strategic identity journey at the same time as being an Auth0 champion!

What you’ll be doing

Fully own the account management function as an Auth0 TAM. This includes the business and the technical side

Advise customers on best practices and product adoption in a post-sales capacity

Be comfortable with a number of personas including but not limited to CISO, Product Owner, CMO, developers, etc., with an account portfolio of strategic accounts

Have a deep interest in the security space and where the industry is headed particularly from a CIAM perspective.

Earn customer trust by understanding their goals and use cases, and recommend best practices relating to process changes, product adoption, configuration, and additional features to meet requirements

Maintain focus on increasing subscription adoption, customer satisfaction, and retention

Review customer architectures and Auth0 configurations to ensure they are enhancing security posture and capturing ROI as Auth0 releases new features and functionality

Establish strong personal relationships on key accounts with decision-makers and stakeholders

Establish strong relationships internally, too as part of a larger collaborative team

Participate in content creation for both internal and external enablement of staff and customers

What you’ll bring to the role

7+ years of total experience in information technology, with at least 3 years of hands-on experience as a Technical Account Manager (TAM) or comparable practitioner role in the IAM space

Working proficiency in the following core IAM areas:

Technologies and protocols to support identity federation and robust access control models, including concepts such as SAML 2.0, WS-Federation, OAuth, OpenID Connect, etc.

Legacy applications in a hybrid IT environment with non-standard applications (i.e. those that do not support modern identity federation protocols)

Enterprise applications in the ecosystem to provide identity and attributes to applications or to harness an external application to help drive business processes (ITSM, HR, etc)

Consumer and/or SaaS application deployments

Security and performance monitoring, and 3rd party signals integrations (SEIM, MDM, WAF, etc)

Familiarity with IAM solution providers is strongly desired.

Strong background in any of the following: Technical Account Management, Technical Consulting, Product Management, Solution Architect, or a similar role

Understanding of common software development practices, including concepts such as SDLC, CI/CD, Containerization, etc.

Ability to code in Javascript

Understanding of identity and surrounding technologies, including concepts such as encryption, PKI, RSA, etc.

Strong business acumen, history of success owning enterprise segment customer relationships and escalations

Excellent communication skills. Ability to set expectations and communicate goals and objectives with customers at various levels, from a developer to a CISO

Ability to track and influence customer behavior and health metrics across a portfolio of accounts

This position will be located in London or Barcelona and will have some travel required (under 50% of the time)

BA/BS/MS or related discipline or equivalent work experience required

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As a Senior Technical Account Manager, you will play a critical role in securing every identity, from AI to human identity. You will focus on strategic account alignment and broad deployment strategies to drive lasting success through elevated technical maturity.

Key Workforce Identity Solutions You Will Support: The Okta Platform secures employees, contractors, and partners across every part of the Identity lifecycle, including governance, access, and privileged controls. Products include:

• Identity & Access Management (IAM): Single Sign-On (SSO), Adaptive MFA, Device Access, API Access Management, Secure Partner Access, Access Gateway, and Universal Directory.
• Identity Governance & Administration (IGA): Lifecycle Management and Identity Governance.
• Privileged Access Management (PAM): Privileged Access.
• Identity Threat Detection & Response (ITDR): Identity Security Posture Management and Identity Threat Protection.

Strategic Customer Partnership & Influence:

• Build deep, long-lasting relationships with customers as their go-to technical advisor.
• Earn Okta trusted advisor status with customer identity owners and technical leadership, known as the primary point of contact for technical leaders.
• Possess and masterfully apply comprehensive technical expertise to solve complex problems, design sophisticated solutions, and influence customer strategies.
• Collaborate with customers to design identity strategies aligned with their business objectives.
• Leverage tailored technical plans for success with a portfolio of customers of increasing size and complexity.
• Help find ways to build upon and expand customers' adoption of the Okta footprint through additional use cases and increasing security posture.
• Use knowledge of how Okta's product differentiators lead to positive outcomes for customers, securing the Okta footprint against competitive displacement.

Complex Problem Resolution & Advocacy:

• Demonstrate advanced problem-solving skills, capable of dissecting complex, multi-faceted problems and orchestrating effective solutions.
• Proactively identify risks and create mitigation plans, establishing actions, ownership, and driving resolutions.
• Able to handle most customer technical escalations independently, or collaboratively with the Customer Success Manager (CSM).
• Manage competing priorities with little impact on delivery, ensuring follow through on all activity.
• Demonstrate a strong ability to represent and advocate for the customer with cross-functional teams (including engineering and support), while supporting policies and decisions that are in the best interests of the company.
• Facilitate difficult discussions with senior stakeholders.

Thought Leadership & Team Enablement:

• Serve as a thought leader, providing best practices, workshops, and training.
• Generate specific vertical/use case insights and thought leadership, demonstrating an advanced level of Okta platform and identity domain knowledge, with a focus on enhancing customers' security posture.
• Generate higher value for customers and deeper TAM engagement through repeatable asset and strategy creation for the team.
• Mentor peers and colleagues, upskilling capability with a focus on technical development.
• Contribute to the development of adoption and retention strategies, sharing knowledge of customer patterns, and leading execution.
• Lead project tasks or initiatives aimed at improvement of TAM processes and knowledge.

What You'll Bring to the Role

• Requires 8+ years of related experience in a professional role, or equivalent experience (e.g., 6+ years with a Master’s degree).
• 3+ years of experience as a Technical Account Manager (TAM) or a comparable role such as Technical Consultant, Product Management, or Solution Architect.
• 3+ years in identity and access management, including SSO, MFA, lifecycle management, or security best practices.
• Education: BA/BS/MS in Computer Science, Information Technology or related discipline, or equivalent work experience required.
• Certifications: Okta Certified, CISSP, or equivalent

Technical Mastery (Workforce Identity Focus):

• Extensive proficiency utilizing Okta feature sets and platforms to portray a design, or architecture, that satisfies well-known customer use cases to a customer technical persona including architect.
• Able to modify existing quickstart or code samples to adapt them to the customer's requirements.
• Confident in assisting TAM peers on technical challenges, or on behalf of other TAMs customers.
• Solid understanding of one or more of the following key areas:
• Technologies and protocols to support identity federation and robust access control models (e.g., SAML 2.0, WS-Federation, OAuth, OpenID Connect).
• Experience dealing with legacy applications in a hybrid IT environment with non-standard applications (i.e., those that do not support modern identity federation protocols).
• SaaS deployment such as Salesforce, Box, Office 365, Workday, and HR as master for identities.
• Lifecycle management scenarios to 3rd party systems and applications (Workflows, HR-driven provisioning, MSFT integrations, SCIM, etc).
• Enterprise applications in the ecosystem to provide identity and attributes to applications or to harness an external application to help drive business processes (ITSM, HR, etc).
• Security and performance monitoring and 3rd party signals integrations (SEIM, MDM, WAF, etc).
• Awareness of augmentation of identity protocols and flows, capable of identifying augmentation that requires additional review.

Communication and Leadership Skills:

• Excellent communication skills, capable of translating complex technical to

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Your role will be cross-cutting. The Head of Growth is part of the core business line leadership team that owns top line growth and influences internal investments, prioritization, program execution, and operations. You will also be responsible for developing, mentoring, and building the EW growth team, collaborating with Division and cross-Division leaders, and supporting programs / engineering / and mission operations teams within the business line.

Key Responsibilities:

• Build a cohesive, data-driven strategy within relevant Original Equipment Manufacturers (OEM), DOD Program Executive Offices (PEO), the Intelligence Community, Federal Agencies, Federally Funded Research and Development Centers (FFRDC), University-affiliated research centers (UARC), and with International partners to penetrate, expand, and deliver technology at scale.

• Develop and maintain close working relationships with internal Anduril stakeholders including business line and division leadership, growth teams, program and engineering teams, and corporate functions to identify and shape new business opportunities, communicate and resolve program issues, and provide strategic direction to execution teams.

• Lead the expansion of the EW portfolio across US and allied services and agencies, including advanced infrared, optical, laser, threat tracking, and seeker technologies that address warfighter needs across all domains including Space.

• Partner with Anduril customers to identify and develop disruptive technologies to deliver sustained operational advantage at the tactical, operational, and strategic level.

• Work with internal stakeholders to identify, prioritize, fund, and execute internally and externally funded research and development to advance Imaging technology.

• Identify, onboard, and manage strategic partners that are vital to growth strategy and program execution.

• Deliver on financial performance metrics and build strategic market growth initiatives.

• Build, mentor, and lead the EW Growth team in business development, account management, and mission operations functions.

Requirements:

• Deep expertise in applications of radio frequency technologies such as electromagnetic warfare, signals intelligence, aircraft survivability, counter-space or other relevant areas.

• A proven leader that effectively engages and communicates with stakeholders at all levels.

• Demonstrated experience with relevant FFRDCs, UARCs, PEOs, OEMs, federal agencies, and/or Combatant Commands.

• A builder and an owner: someone who is willing to put in the work across all aspects of the business, effectively prioritize actions, and own the outcomes.

• Demonstrated ability and willingness to learn; undeterred by a long, steep climb to understand technology, programs, process, problems, and customer nuance.

• Demonstrated ability in developing and executing tactical and strategic plans to some target end state.

• Ability to identify, establish, and maintain relationships with current and future customers at all levels.

• Knowledge of defense acquisitions, with demonstrated history in new technology/product introduction, zero to one projects, and scaling to larger defense programs.

• Ability to travel up to 50%.

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

Preferred Qualifications:

• Willing to relocate to Costa Mesa, CA.

• Advanced degree (Engineering, MBA, Military Sciences, etc.).

• Understanding of business operations and financial management.

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You will develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators.

You will develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse.

You will evaluate, integrate, and operationalize third-party vendor signals , assessing whether new data sources provide genuine lift in detection.

You will expand internal account signals with new data sources and behavioural indicators to improve detection coverage.

You will build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness.

You will operationalize and iterate on enforcement tooling , including appeals workflows, review processes, and user communications , to maintain quality and scale with growing volume.

You will analyse enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve.

You will manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners.

You will coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes.

You will collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows.

You will maintain detailed documentation of signal development, enforcement processes, and operational decisions.

This role requires 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement.

You should have hands-on experience building detection systems, risk models, or enforcement processes and workflows.

You should have experience evaluating and integrating third-party data sources into detection or scoring pipelines.

You should have strong SQL and Python skills , this role involves heavy data analysis across complex, multi-table data relationships.

You should have familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications.

You should have demonstrated ability to analyse complex data problems and translate findings into actionable improvements.

You should have strong written and verbal communication skills , ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations.

Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field is required.

This role offers an annual salary range of $230,000-$310,000 USD.

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As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns.

The impact you will have:

• Lead the technical vision for Search Quality, shaping the ranking architecture, relevance modeling stack, and evaluation systems that power Databricks' next-generation retrieval experiences.

• Identify and solve challenges in ranking, query understanding, and hybrid retrieval , advancing state-of-the-art techniques in vector, keyword, and multimodal search.

• Design and train production-ready ranking and reranking models with strong guarantees around quality, latency, and resource efficiency.

• Partner closely with research, product, and infra teams to define metrics, evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.

• Drive end-to-end engineering efforts , from early prototyping to production rollout , ensuring correctness, reliability, and measurable improvements to relevance.

• Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.

• Champion excellence in ML and search engineering, mentoring teammates and elevating design, code quality, and scientific rigor across the team.

• Shape Databricks' long-term roadmap for retrieval quality, ranking infrastructure, and the foundations for retrieval-driven AI products.

What we look for:

• 10+ years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.

• Deep expertise in Search Quality, including ranking models, signals, query understanding, and evaluation methodologies.

• Strong understanding of relevance metrics and evaluation frameworks.

• Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval.

• Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems.

• Proven ability to deliver high-impact technical initiatives with clear business or product outcomes.

• Strong communication skills and ability to collaborate across teams in fast-moving environments.

• Strategic and product-oriented mindset with the ability to align technical execution with long-term vision.

• Passion for mentoring, growing engineers, and fostering technical excellence.

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As the Head of Growth, you will be responsible for developing, mentoring, and building the EW growth team, collaborating with Division and cross-Division leaders, and supporting programs / engineering / and mission operations teams within the business line.

Key responsibilities include:

• Building a cohesive, data-driven strategy within relevant Original Equipment Manufacturers (OEM), DOD Program Executive Offices (PEO), the Intelligence Community, Federal Agencies, Federally Funded Research and Development Centers (FFRDC), University-affiliated research centers (UARC), and with International partners to penetrate, expand, and deliver technology at scale.

• Developing and maintaining close working relationships with internal Anduril stakeholders including business line and division leadership, growth teams, program and engineering teams, and corporate functions to identify and shape new business opportunities, communicate and resolve program issues, and provide strategic direction to execution teams.

• Leading the expansion of the EW portfolio across US and allied services and agencies, including advanced infrared, optical, laser, threat tracking, and seeker technologies that address warfighter needs across all domains including Space.

• Partnering with Anduril customers to identify and develop disruptive technologies to deliver sustained operational advantage at the tactical, operational, and strategic level.

• Working with internal stakeholders to identify, prioritize, fund, and execute internally and externally funded research and development to advance Imaging technology.

• Identifying, onboarding, and managing strategic partners that are vital to growth strategy and program execution.

• Delivering on financial performance metrics and building strategic market growth initiatives.

• Building, mentoring, and leading the EW Growth team in business development, account management, and mission operations functions.

Required qualifications include:

• Deep expertise in applications of radio frequency technologies such as electromagnetic warfare, signals intelligence, aircraft survivability, counter-space or other relevant areas.

• A proven leader that effectively engages and communicates with stakeholders at all levels.

• Demonstrated experience with relevant FFRDCs, UARCs, PEOs, OEMs, federal agencies, and/or Combatant Commands.

• A builder and an owner: someone who is willing to put in the work across all aspects of the business, effectively prioritize actions, and own the outcomes.

• Demonstrated ability and willingness to learn; undeterred by a long, steep climb to understand technology, programs, process, problems, and customer nuance.

• Demonstrated ability in developing and executing tactical and strategic plans to some target end state.

• Ability to identify, establish, and maintain relationships with current and future customers at all levels.

• Knowledge of defense acquisitions, with demonstrated history in new technology/product introduction, zero to one projects, and scaling to larger defense programs.

• Ability to travel up to 50%.

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

Preferred qualifications include:

• Willing to relocate to Costa Mesa, CA.

• Advanced degree (Engineering, MBA, Military Sciences, etc.).

• Understanding of business operations and financial management.

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Our team focuses primarily but not exclusively on speech, building advanced steerable systems spanning end-to-end conversational systems, speech and audio understanding models, and speech synthesis capabilities. The team works closely with many collaborators across pretraining, finetuning, reinforcement learning, production inference, and product to get advanced audio technologies from early research to high-impact real-world deployments.

Responsibilities:

• Develop and train audio models, including conversational speech-to-speech, speech translation, speech recognition, text-to-speech, diarization, codecs, and generative audio models
• Work across abstraction levels, from signal processing fundamentals to large-scale model training and inference optimization
• Collaborate with teams across the company to develop and deploy audio technologies
• Communicate clearly and effectively with colleagues and stakeholders

Strong candidates may also have experience with:

• Large language model pretraining and finetuning
• Training diffusion models for image and audio generation
• Reinforcement learning for large language models and diffusion models
• End-to-end system optimization, from performance benchmarking to kernel optimization
• GPUs, Kubernetes, PyTorch, or distributed training infrastructure

Representative projects:

• Training state-of-the-art neural audio codecs for 48 kHz stereo audio
• Developing novel algorithms for diffusion pretraining and reinforcement learning
• Scaling audio datasets to millions of hours of high-quality audio
• Creating robust evaluation methodologies for hard-to-measure qualities such as naturalness or expressiveness
• Studying training dynamics of mixed audio-text language models
• Optimizing latency and inference throughput for deployed streaming audio systems

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About the Role: The Head of Programmatic Outcomes (Product) shapes the product-led growth strategy, in-product activation design, and adoption loops that reach every knowledge worker , not account by account, but at population scale , in deep partnership with Anthropic’s Product, Growth Marketing, and Strategy functions.

Responsibilities:

• Drive the PLG activation strategy across Claude Teams, Claude for Enterprise, Claude Code, and API , partnering with Product PMs and Growth Marketing to define plays that drive adoption from first login to habitual daily use

• Co-design onboarding sequences, in-product nudges, and activation milestones with Product , then codify them so the Customer Success team and partners execute at scale

• Partner with Product and Strategy to define which usage signals indicate healthy vs. at-risk accounts and trigger the right human or automated interventions

• Partner closely with Product PMs to ensure the activation motion is built into the product, not bolted on , serving as the dedicated GTM voice advocating for UX patterns and enablement features that reduce time-to-value, and reducing duplication between Product-owned onboarding and CS-owned playbooks

• Develop and test hypothesis-driven activation plays across specific knowledge-worker use cases (Finance, Legal, HR, exec workflows) , codifying what converts at scale

• Hold the connective tissue across the Partners and Growth Marketing capability leads to ensure PLG motions are product-anchored, not just relationship-driven or campaign-driven , this leader is the integration point, not a parallel function

• Establish adoption benchmarks, population-level penetration metrics, and health indicators the programmatic team uses to track progress on the knowledge-worker gap

• Feed product activation learnings back into the Success motion , creating the intelligence loop between population-level data and account-level execution

Requirements:

• 8+ years in PLG, growth PM, product marketing, or CS strategy with direct ownership of activation or adoption metrics

• Experience designing and running product-led onboarding or activation programs at enterprise SaaS or AI companies , not just contributing to them

• Deep understanding of how product telemetry translates into adoption signals and how to trigger the right human and automated interventions

• Strong cross-functional fluency: you’ve worked embedded with Product teams while maintaining a GTM orientation and commercial accountability

• Track record of building programmatic motions that generate scale across a large customer base , not one-off account customizations

• Real perspective on what drives knowledge workers to build habits around new tools, backed by experience

Salary: The annual compensation range for this role is $315,000-$350,000 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 product management role

• Minimum years of experience: 8+ years

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time

• Visa sponsorship: We do sponsor visas!

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This is a highly operational, systems-driven role that also demands creativity, intuition, and deep curiosity about the AI research ecosystem. You will work closely with founders, research leaders, and hiring managers to translate ambitious research goals into exceptional hires.

Responsibilities:

• Design, build, and continuously improve recruiting and sourcing systems, processes, and tooling with an emphasis on rigor, accuracy, and scalability
• Proactively source researchers and engineers from top universities, AI labs, and leading technology companies across ML, robotics, computer vision, and related fields
• Maintain exceptionally high-quality candidate data, pipelines, and documentation across ATS and internal tracking systems
• Develop creative sourcing strategies using publications, citations, open-source work, conference participation, academic networks, and referrals
• Partner closely with research and engineering leaders to deeply understand technical needs, evolving skill requirements, and long-term talent strategy
• Own candidate experience end-to-end, ensuring thoughtful, timely, and highly professional communication
• Analyze recruiting metrics and pipeline data to identify gaps, improve efficiency, and inform hiring decisions
• Support interview coordination and hiring operations as needed to keep processes running smoothly and predictably

Key Qualifications:

• 3+ years of experience in technical recruiting or sourcing, with a strong focus on AI, ML, robotics, or adjacent deep-tech domains
• Demonstrated ability to build and maintain highly organized recruiting systems and processes
• Strong data discipline: comfortable working with pipelines, metrics, and structured tracking to drive decisions
• Solid understanding of the AI research landscape, including top universities, labs, conferences, and industry research teams
• Experience sourcing passive, highly competitive candidates
• Excellent written and verbal communication skills
• Ability to operate effectively in fast-moving, ambiguous environments

Preferred Qualifications:

• Experience in one or more of the following is a strong plus:

  • Recruiting or sourcing for research-heavy organizations or frontier AI labs
  • Familiarity with academic research signals (publications, citations, arXiv, conferences such as NeurIPS, ICML, ICLR, CVPR, RSS, etc.)
  • Experience hiring PhD-level researchers or highly specialized engineers
  • Background in startup environments or early-stage team building
  • Experience with advanced sourcing tools, automation, or custom workflows

Who You Are:

• Fearless Innovator: We need people who thrive on challenges and aren't afraid to tackle the impossible.
• Resilient Builder: Impacting Large World Models isn't a sprint; it's a marathon with hurdles. We're looking for builders who can weather the storms of groundbreaking research and come out stronger.
• Mission-Driven Mindset: Everything we do is in service of creating the best spatially intelligent AI systems, and using them to empower people.
• Collaborative Spirit: We're building something bigger than any one person. We need team players who can harness the power of collective intelligence.

Equal Opportunity & Pay Transparency

World Labs is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other characteristic protected under applicable law. We welcome all qualified applicants and are committed to providing reasonable accommodations throughout the hiring process upon request.

In accordance with California law, we disclose the following:

• Pay Range: $180,000-$225,000 base salary (good-faith estimate for San Francisco Bay Area upon hire; actual offer based on experience, skills, and qualifications)
• Total Compensation: Base salary plus equity awards and annual performance bonus
• Salary History: We do not request or consider prior compensation in making offers

Compliance:

• Cal. Lab. Code §432.3 (pay scale disclosure & salary history ban); Cal. Lab. Code §1197.5 (Equal Pay Act); Cal. Gov. Code §12940 (FEHA); 42 U.S.C. §2000e (Title VII); 29 U.S.C. §621 (ADEA); 42 U.S.C. §12101 (ADA)
• Accommodations & inquiries: talent@worldlabs.ai

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Our data analytics platform can translate mobile sensor data from real-world human activity into a “digital fingerprint” with no conscious action from the user, all in real-time, and in a way that respects user privacy.

This is an opportunity to be a part of something truly unique and game-changing.

Your day-to-day

• Be an early member of a high-performing team of full stack software engineers building a new human identity platform
• Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems
• Understand how the entire system works end-to-end, and eventually become known as the expert in multiple areas
• Gain a working knowledge of machine learning and mobile sensor data to help solve problems related to real-time signals processing
• Wear many hats to make things happen in a dynamic startup environment
• Bring your own unique expertise to the team and learn from others
• Enjoy tight collaboration with your teammates

Ideal candidates will have...

• Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care
• Many “been there, done that” stories related to shipping and maintaining major software products for customers
• Excellent coding skills in at least two object-oriented languages
• Hands-on experience deploying services using Kubernetes on AWS
• The ability to argue fluently about security and scalability
• Experience working with high volumes of data, ideally with machine learning playing a critical role
• A breadth of technical skills and know how to use the right tool for the job
• High motivation and ability to learn new technologies and domains
• A positive can-do attitude and bring a passion for excellence to the workplace
• Excellent collaboration and communication skills
• Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus

Additional Information

Join us! As we continue to scale our company, we are looking for people who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.

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XML job scraping automation by YubHub

Our team is focused on making boats go and perform tasks with no human involvement. This job is available at multiple levels, including entry, senior, and staff.

Responsibilities:

• Develop algorithms and models which allow boats to sense and navigate
• Develop metrics which allow quantitative analysis of improvements and regressions in boat performance
• Analyze and work with large data systems to enable model training and evaluation

Requirements:

• Strong programming fundamentals
• Extensive programming experience and demonstrated ability to work on large systems
• Computing Fundamentals
• A general understanding of operating systems and or similar large scale systems
• An understanding of basic computer architecture
• A demonstrated willingness to learn and pivot based on new information

Useful Skills:

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Understanding of various filters and their applications
• Proficiency in Rust
• Experience with maritime or autonomous vehicle projects
• Experience with signals processing or sensor fusion
• Experience with low latency inference and tracking pipelines
• Experience with path planning algorithms
• Experience training and deploying multi modal models
• Experience with various sensors including radar, cameras, and lidar
• Experience developing and optimizing deployed ML systems

Physical Demands:

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

Benefits:

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

Additional Information:

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

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Our team is focused on making boats go and perform tasks with no human involvement. This job is available at multiple levels, including entry, senior, and staff.

The successful candidate will develop algorithms and models which allow boats to sense and navigate, as well as develop metrics which allow quantitative analysis of improvements and regressions in boat performance.

Responsibilities:

• Develop algorithms and models which allow boats to sense and navigate
• Develop metrics which allow quantitative analysis of improvements and regressions in boat performance
• Analyze and work with large data systems to enable model training and evaluation

Requirements:

• Strong programming fundamentals
• Extensive programming experience and demonstrated ability to work on large systems
• Computing Fundamentals
• A general understanding of operating systems and or similar large scale systems
• An understanding of basic computer architecture
• A demonstrated willingness to learn and pivot based on new information

Useful Skills:

• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
• Understanding of various filters and their applications
• Proficiency in Rust
• Experience with maritime or autonomous vehicle projects
• Experience with signals processing or sensor fusion
• Experience with low latency inference and tracking pipelines
• Experience with path planning algorithms
• Experience training and deploying multi modal models
• Experience with various sensors including radar, cameras, and lidar
• Experience developing and optimizing deployed ML systems

Physical Demands:

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

Benefits:

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

Additional Information:

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

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As the portfolio grows, this role is expected to evolve into team leadership. You'll play a key role in shaping how risk decisions translate into customer experience, product growth, and long-term portfolio performance.

Key responsibilities include:

• Building and operationalizing the credit strategy

• Translating underwriting vision into formal credit policy and decision frameworks

• Defining approval logic, segmentation strategy, and limit-setting methodology

• Establishing portfolio guardrails aligned to loss targets and unit economics

• Designing account management strategies across the customer lifecycle

• Developing early portfolio management approaches including exposure adjustments, servicing strategies, and input into collections processes as the portfolio matures

• Defining portfolio monitoring frameworks and escalation triggers for emerging credit risk trends

• Building the data-driven risk engine

• Implementing credit policy in our underwriting platform

• Evaluating and integrating key data sources (bureau, income, debt signals)

• Ensuring decision logic is structured, testable, and scalable

• Partnering with Engineering and Data to build monitoring and feedback loops

• Owning portfolio performance post-launch

• Defining and tracking core KPIs (approval rate, early delinquency, loss rate, exposure, utilization, etc.)

• Monitoring vintage performance and segment behavior

• Recommending and implementing strategy adjustments based on observed risk trends

• Presenting risk performance, insights, and recommendations to senior leadership

• Driving data-informed risk and growth decisions

• Using SQL to independently evaluate underwriting decisions and trade-offs

• Analyzing drivers of credit performance and portfolio outcomes

• Partnering with Finance on forecasting and risk-adjusted economics

• Driving cross-functional execution

• Partnering with Compliance to ensure the underwriting program is well-documented and built to scale

• Working with Partnerships, Procurement, and Legal on evaluating and onboarding credit data providers

• Supporting broader risk initiatives across our business charge card portfolio during the build phase

Requirements include:

• 6+ years of experience in consumer credit risk
• Experience launching or materially redesigning a consumer lending product
• Experience implementing credit policy within a decisioning or underwriting platform is strongly preferred
• Demonstrated experience owning risk strategy and monitoring portfolio performance
• Deep familiarity with bureau data and core credit risk metrics (approval rate, loss rate, vintage curves, etc.)
• Experience presenting risk insights and strategy recommendations to senior stakeholders
• Experience translating policy into production decision logic
• Strong SQL skills and comfort working directly with data
• Comfortable building in ambiguity and operating in a 0→1 environment

Total rewards package includes base salary, equity, and benefits. Salary and equity ranges are highly competitive within the SaaS and fintech industry.

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Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. As a Safeguards Analyst focusing on Account Abuse, you will play a critical role in building and scaling the detection, enforcement, and operational capabilities that protect our platform against scaled abuse.

Responsibilities:

• Develop and iterate on account signals and prevention frameworks that consolidate internal and external data into actionable abuse indicators
• Develop and optimize identity and account-linking signals using graph-based data infrastructure to detect coordinated and scaled account abuse
• Evaluate, integrate, and operationalize third-party vendor signals — assessing whether new data sources provide genuine lift in detection
• Expand internal account signals with new data sources and behavioural indicators to improve detection coverage
• Build and maintain processes that evaluate new product launches for scaled abuse risks, working closely with product teams to ensure enforcement readiness
• Operationalize and iterate on enforcement tooling — including appeals workflows, review processes, and user communications — to maintain quality and scale with growing volume
• Analyze enforcement performance through operational metrics, partnering with the team to keep detection accurate as abuse patterns evolve
• Manage payment fraud and dispute operations to protect revenue and maintain our standing with payment partners
• Coordinate enforcement efforts for policy compliance gaps across products, working with relevant teams to build scalable review processes
• Collaborate with cross-functional teams (Engineering, Product, Legal, Data Science) to surface new signals and translate detection capabilities into enforcement workflows
• Maintain detailed documentation of signal development, enforcement processes, and operational decisions

Qualifications:

• 2+ years of experience in risk scoring, fraud detection, trust and safety, or policy enforcement
• Hands-on experience building detection systems, risk models, or enforcement processes and workflows
• Experience evaluating and integrating third-party data sources into detection or scoring pipelines
• Strong SQL and Python skills — this role involves heavy data analysis across complex, multi-table data relationships
• Familiarity with identity signals such as device fingerprinting, account linking, or entity resolution, or experience with appeals processes and customer-facing enforcement communications
• Demonstrated ability to analyze complex data problems and translate findings into actionable improvements
• Strong written and verbal communication skills — ability to explain technical tradeoffs and navigate cross-functional stakeholder conversations
• Equivalent practical experience or a Bachelor's degree in Computer Science, Data Science, or related field

You might be a good fit if you:

• Have built risk scores, detection systems, signal pipelines, or enforcement processes in a previous role — identity verification, trust and safety, or similar
• Are comfortable working with ambiguous, noisy data and extracting meaningful signal
• Think critically about signal quality and enforcement performance — evaluating whether new detection signals or processes meaningfully improve outcomes
• Have experience with graph-based data, account-linking problems, or cross-functional process design
• Are proactive about identifying gaps in existing detection or enforcement and proposing new approaches
• Have experience leveraging generative AI tools to support analytical, detection, or enforcement workflows
• Can balance deep analytical work with cross-functional collaboration and stakeholder coordination
• Have a background or interest in cybersecurity or threat intelligence (a plus, not a requirement)

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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We are hiring a Sales Development Manager in New York to build and scale a next-generation sales development program at Cursor. This won’t be a traditional SDR team focused on dialing through lists. Instead, this leader will design and run a modern program centered on demand interception, PLG signals, and creative automation experiments in close partnership with Growth and RevOps.

You’ll be responsible for building and scaling a high-velocity team of Account Associates who operate with a builder’s mindset. This team will launch new outbound automation plays, capture and act on signals from our self-serve funnel, and develop repeatable playbooks to convert lower-tier paid users into long-term, high-value customers. Most importantly, you’ll do this while standing up a scalable outbound motion to consistently break into strategic enterprise accounts and drive meaningful evaluations of Cursor.

This is a foundational leadership role for someone who thrives in ambiguity, loves experimenting with new go-to-market tactics, and is passionate about redefining what sales development can look like.

What You’ll Do

• Build and lead a high-performing Account Associate team focused on experimentation and growth

• Partner closely with Growth and RevOps to design, launch, and iterate on automation experiments (e.g., LinkedIn outreach, event-based triggers, in-product signals)

• Define a playbook for demand interception and signal-based selling, rather than traditional cold outbound

• Recruit and coach Account Associate candidates with high slope and curiosity, fostering an inclusive and innovative culture

• Develop operational rigor: build feedback loops, define “what good looks like,” and translate learnings into clear activity metrics

• Ensure Account Associates are trained to handle brief discovery calls and guide customers through early product value realization

• Collaborate cross-functionally with Sales, Marketing, and Product to identify and activate creative campaign ideas based on product usage signals

• Nurture a talent pipeline for sales and the rest of the business

What We’re Looking For:

• 3-4+ years of SDR management experience, ideally with prior AE closing experience, and a proven ability to design new motions and test unconventional or innovative go-to-market tactics.

• Strong operational mindset – ability to design experiments, track performance, and systematize learnings

• Comfort with ambiguity and excitement about breaking the traditional sales development mold

• Curiosity about AI and ability to translate technical product signals into GTM actions

• Experience coaching and developing early-career or career-switching talent; passion for hiring non-traditional profiles and building diverse teams

• Bonus: exposure to AI products, growth automation tools, or hybrid sales/growth roles

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Product Marketing Lead, Privacy

Location

San Francisco

Employment Type

Full time

Department

Marketing

Compensation

$284K – $415K

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.

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

About the team

OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI’s products and platform.

We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.

About the role

We’re looking for a Privacy Product Marketer to drive company-wide privacy narratives, strategy, and execution across our entire product portfolio. You’ll combine strong judgment with customer empathy and cross-functional leadership to translate privacy principles, user needs, and regulatory expectations into clear product requirements, crisp messaging, and scalable go-to-market readiness. This role is ideal for someone who thrives in ambiguity, enjoys influencing and aligning organizations and is energized by partnering deeply across teams to deliver trustworthy products.

Responsibilities

• Lead discovery to understand user expectations, enterprise requirements, and market dynamics related to privacy, trust, and data stewardship
• Translate privacy insights into clear product requirements and programs in close partnership with Product, Engineering, Legal, and Privacy/Policy stakeholders
• Partner with Design, Data Science, and Analytics to define success metrics for privacy experiences (e.g., comprehension, control adoption, incident reduction, support burden) and create measurement plans
• Identify privacy risk areas across the product lifecycle (data collection, retention, training use, access controls, sharing, third parties) and drive cross-functional mitigation plans
• Build clear, durable narratives and materials that explain privacy choices simply (e.g., product messaging, help center content, FAQs, internal enablement, exec-ready updates)
• Coordinate readiness across teams (Product, Legal, Comms, Support, Sales) so launches are accurate, consistent, and scalable
• Develop and maintain a privacy positioning framework across products—what we do, why it matters, and how we differentiate—while staying grounded in real product capabilities
• Continuously evaluate and improve existing privacy experiences to increase clarity, trust, and user adoption of controls

Requirements

• Have strong structured problem-solving skills—taking ambiguous privacy/trust problems, breaking them into answerable parts, and driving execution through to implementation
• Can connect user expectations and regulatory/partner requirements to product strategy, influencing prioritization across Product/Engineering/Design
• Have experience with privacy-adjacent domains (privacy UX, trust & safety, security, data governance, compliance, or responsible AI) and enjoy navigating complexity
• Communicate clearly and persuasively—turning nuanced policy/technical concepts into crisp user value and straightforward guidance
• Are fluent in qualitative and quantitative approaches (user research, surveys, funnel analysis, experimentation, support signals) and can turn insights into decisions
• Thrive in fast-paced, high-ambiguity environments and can manage multiple cross-company workstreams with strong judgment
• Are highly collaborative, proactive, and comfortable leading cross-functional efforts without direct authority
• Care deeply about building products that users can understand, control, and trust

Experience Level

Mid

Employment Type

Full time

Workplace Type

Hybrid

Category

Marketing

Industry

Technology

Salary Range

$284K – $415K

Required Skills

• Privacy UX
• Trust & safety
• Security
• Data governance
• Compliance
• Responsible AI
• User research
• Surveys
• Funnel analysis
• Experimentation
• Support signals
• Cross-functional leadership
• Strong judgment
• Customer empathy
• Data-driven approach
• Product strategy
• Messaging
• Scalable go-to-market readiness

Preferred Skills

• Product management
• Engineering
• Design
• Data science
• Analytics
• Marketing
• Sales
• Partnerships
• Research
• Comms
• Legal
• Policy
• Privacy
• Trust
• Safety
• Security
• Data governance
• Compliance
• Responsible AI
• User research
• Surveys
• Funnel analysis
• Experimentation
• Support signals
• Cross-functional leadership
• Strong judgment
• Customer empathy
• Data-driven approach
• Product strategy
• Messaging
• Scalable go-to-market readiness

XML job scraping automation by YubHub

San Francisco; New York City; Remote - US

Employment Type

Full time

Location Type

Hybrid

Department

Intelligence & Investigations

Compensation

• $198K – $220K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe achieving this goal requires real-world deployment and continuous iteration based on how our products are used—and misused—in practice.

The Intelligence and Investigations team supports this mission by detecting, investigating, and disrupting the misuse of our products, particularly critical or novel harms. Our work enables partner teams to develop data-backed model policies and build scalable safety mitigations. By precisely understanding abuse, we help ensure OpenAI’s products can be used safely to build meaningful, rewarding applications.

About the Role

As a Technical Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting, investigating, and disrupting malicious use of OpenAI’s platform. You will further scale parts of the investigative process to help our team disrupt harm at scale. This role combines traditional investigative judgment with strong technical fluency: much of the work involves navigating complex datasets to surface actionable abuse signals, not just reviewing individual reports.

In addition to conducting investigations directly, this role is explicitly designed to act as a force multiplier for the broader investigations team. You will be scaling or automating highly manual, important and nuanced processes. You will design and implement lightweight technical solutions—such as notebook templates, data pipelines or internal utilities—that enable specialized investigators to identify, track, and action abuse at a greater scale than a single investigator can currently achieve. Success in this role is measured not only by investigations completed, but by how effectively your work enables you and your team members to operate more efficiently and consistently.

You will work closely with engineering, legal, investigations, security, and policy partners to respond to time-sensitive escalations, investigate activity that falls outside existing safeguards, and translate investigative insights into scalable detection and enforcement strategies.

This role includes participation in an on-call rotation to handle urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise disturbing material. This role will work PST and is open to remote work within the United States, though we heavily prefer candidates based in San Francisco or New York.

In this role, you will:

• Detect, investigate and disrupt abuse and harm with policy, legal, global affairs, security, and engineering teams via complex datasets.

• Develop and iterate on abuse signals and investigative methods, scaling one-off insights to reduce manual effort and expand coverage.

• Build and maintain lightweight technical solutions (e.g., SQL/ Python data pipelines, investigation templates, dashboards, or internal utilities) for investigators focused on specific harm domains.

• Develop a deep understanding of OpenAI’s products, data systems, and enforcement mechanisms, and collaborate with engineering and data teams to improve investigative tooling, data quality, and workflows.

• Communicate investigation findings effectively to internal stakeholders through written briefs, data-backed recommendations, and escalation summaries

• Rotate (in-frequently) into an incident response role that requires rapid threat triaging, investigation, mitigation, sound judgement and concise briefing to senior leadership.

• Be someone people enjoy working with.

• Proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.

You might thrive in this role if you:

• Have a strong background in computer science, software engineering, or a related field.
• Have experience with data analysis, machine learning, or other technical skills relevant to the role.
• Are able to work effectively in a fast-paced, dynamic environment.
• Are able to communicate complex technical information to non-technical stakeholders.
• Are able to work independently and as part of a team.
• Are able to adapt to changing priorities and deadlines.
• Are able to maintain confidentiality and handle sensitive information.
• Are able to work in a remote environment.

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Remote - US; London, UK; San Francisco; Seattle

Employment Type

Full time

Location Type

Remote

Department

Intelligence & Investigations

Compensation

• $230.4K – $425K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.

The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products.

About the Role

As an Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting malicious uses and activities of our platform and disrupting actors that abuse our policies and other harmful behavior. This will require expert understanding of our products and data and experience investigating threat actors. You will also respond to time sensitive escalations, especially those that are not caught by our existing tools and safeguards.

This role requires domain-specific expertise, experience investigating sophisticated threats, and the ability to navigate ambiguous signals in a complex and adversarial threat environment. You’ll need a proven ability to quickly learn new processes, systems and team dynamics while thriving in ambiguous, rapidly changing, and high-pressure environments.

This role is remote-friendly, though you’re welcome to work from our San Francisco office if desired. The role will include resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material.

In this role, you will:

• Investigate activity and disrupt abusive operations in partnership with our policy, legal, integrity, global affairs and security teams, including by conducting cross-internet and open source research

• Develop abuse signals and tracking strategies to help proactively detect harmful activity on our platform

• Communicate investigation findings from your work with stakeholders internally and, at times, externally

• Develop a categorical understanding of our products and data, and work with technical teams to improve our data and tooling

You might thrive in this role if you:

• Have deep expertise in open source intelligence and subject matter expertise in national security and/or influence operations, particularly where it intersects with emerging technical risks.

• Have strong familiarity with technical investigations, especially using SQL and Python, in a government/military, think tank setting, and/or tech company.

• Speak another language (ideally Chinese, Arabic, Farsi, Hindi), in addition to English.

• Have at least 10+ years of experience tracking threat actors in abuse domains.

• Have at least two years of experience helping to develop automated approaches to accomplishing your work.

• Experience in presenting analytic work in public or policy settings.

• Have experience scaling and automating processes, especially with language models.

• Be able to hold a government security clearance.

About OpenAI

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

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Location

San Francisco

Employment Type

Full time

Department

Data Science

Compensation

• $293K – $515K • Offers Equity

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

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

OpenAI’s mission is to ensure AI benefits all of humanity. ChatGPT for Work supports that mission by helping more people access real leverage from AI in their day-to-day jobs—so they can spend less time on busywork and coordination, and more time on the work that’s meaningful and additive. We’re building an AI-native workspace where AI acts as a superassistant for everyday tasks and a coworker you can hand work off to—then review, edit, and approve with confidence.

About the Role

As the Data Scientist for ChatGPT for Work, you’ll shape product strategy through data: uncover the user problems most worth solving, form sharp hypotheses about what will move team and business outcomes, and influence what we build next by presenting compelling recommendations grounded in rigorous evidence. You’ll be the DRI for the Work insight → strategy → experiment → decision loop—defining what “success” means for teams, pinpointing the highest-leverage adoption and retention bottlenecks, and turning signals into clear product direction.

You’ll partner closely with Product, Engineering, Research, and Finance to ensure our metrics are trusted, our experimentation is rigorous, and our insights turn into shipped improvements.

Responsibilities

• Own the core KPI framework for ChatGPT for Work, spanning onboarding, activation, engagement, retention, and expansion, as well as quality/trust guardrails.

• Build end-to-end funnels that identify where individuals and teams succeed or get stuck, from first workspace setup through repeat usage and long-term team adoption and value creation.

• Define and operationalize “time-to-value” and collaboration loop metrics, and connect them to business outcomes.

• Design and evaluate experiments and rollouts to quantify the impact of product changes across key Work surfaces and flows.

• Partner with product and engineering teams to improve instrumentation, data quality, and metric definitions so decisions are fast and correct.

• Translate complex analysis into clear, compelling insights that shape product strategy and roadmap decisions.

• Help establish data science standards and best practices for measuring human–AI collaboration and AI-native work outcomes.

• Partner with other data scientists across the company to share learnings and raise the bar on measurement, experimentation, and decision-making.

Requirements

• 10+ years in data science / analytics in in high-velocity product environments

• Direct experience working on B2B products (SaaS, collaboration/workspace, developer tools, or enterprise)

• Expert SQL + strong Python

• Strong experimentation + causal inference judgment (incl. when clean A/B tests aren’t feasible)

• Strong product sense/taste: can turn messy signals into crisp hypotheses and roadmap direction

• Proven ability to inspire and influence PM/Eng/Design + leadership through data storytelling

• Autonomous operator who sets the insights/measurement agenda

• Excellent executive communication; thrives in ambiguous, fast-moving environments

• AI-native operator (non-negotiable): “super AI-pilled”—first to adopt new AI tools, uses them daily to increase throughput, and turns them into durable org workflows

Nice-to-haves

• Experience with agentic and/or AI-native B2B products (agents, copilots, workflow automation, AI collaboration)

• Experience measuring AI product quality, trust, and human-AI interaction signals

• Familiarity with enterprise admin/security constraints and how they shape adoption

• Experience with

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San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

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

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

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

About the Role

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

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

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

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

In this role, you will:

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

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

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

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

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

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

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

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

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

You might thrive in this role if you:

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

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

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

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

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Seattle; San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $325K – $385K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

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

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

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

About the Role

We’re looking for a Senior Android Engineer on OpenAI’s Applied team to build the core mobile experiences that power how users sign up, manage their account, use family features, pay for services, stay safe, and interact with OpenAI’s products with confidence.

This role is about building high-quality products and reusable Android foundations that product teams across OpenAI apps depend on to ship quickly while meeting the highest standards for security, reliability, privacy, and user trust. You’ll own complex client-side systems spanning UI, networking, local state, payments, and Android platform integrations, and you’ll work closely with backend, product, and safety partners to shape the architecture that supports OpenAI’s mobile ecosystem at global scale.

In this role, you will

• Build and ship monetization experiences on Android (e.g., plan selection, purchase flows, subscription management, entitlements, and policy-aware UX patterns).

• Design and maintain shared Android frameworks and primitives for account, trust, and commerce flows used across OpenAI’s mobile apps (auth/session, entitlements, checkout abstractions, safety gates, etc.).

• Own complex Android systems end-to-end across UI architecture, networking, local persistence/state, observability, and release processes.

• Build robust integrations with Android platform and ecosystem components (e.g., Google Play Billing, authentication, device security signals, deep links, push).

• Optimize performance, reliability, and responsiveness at global scale (startup time, rendering, network resiliency, battery, crash-free sessions).

• Establish and evolve testing and quality systems (unit/integration/UI tests, CI reliability, automated regression, release validation).

• Collaborate with Product, Design, Research, backend, and Safety to deliver features that meet OpenAI’s highest standards for safety, privacy, fairness, and policy compliance.

• Provide technical leadership through architecture reviews, mentoring, and setting engineering standards across the Android foundations surface.

You might thrive in this role if you

• Have 4+ years of professional software engineering experience with meaningful Android ownership.

• Have a track record of building and shipping high-quality Android applications in production (especially for reliability- and trust-sensitive flows like identity and payments).

• Are fluent in Kotlin and comfortable with Android tooling and architecture (Gradle, Android Studio, modern app architecture patterns, Jetpack Compose).

• Enjoy making pragmatic architectural tradeoffs while keeping systems maintainable, testable, and scalable.

• Care deeply about performance, security, privacy, and user experience, and you bring a high bar for polish.

• Thrive in 0→1 environments where systems, architecture, and processes are constantly evolving.

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[2026] Senior Machine Learning Engineer, Engine Optimization - PhD Early Career

San Mateo, CA, United StatesEarly CareerID: 5626

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.

At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.

A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.

Our engine’s resource management and streaming systems are critical to delivering a smooth, stable, and responsive experience for Roblox users across a huge range of devices and network conditions. These systems work together to intelligently allocate compute, memory, bandwidth, and rendering quality while dynamically delivering world content in real time as players move, explore, and interact. The challenges span highly dynamic environments, unpredictable user behavior, and opaque signals from device and OS constraints.

This role offers a rare opportunity to pioneer the application of machine learning in real-time engine optimization. You will establish the ML framework for predictive resource allocation and content fetching, replacing heuristic-based logic with adaptive, data-driven decision-making. Your work will directly shape stability, visual quality, responsiveness, and content delivery across billions of global play sessions.

You Will

• Analyze massive-scale engine performance, streaming patterns, and user behavior telemetry to uncover optimization opportunities and guide the long-term ML roadmap.
• Design ML models that infer player and interaction patterns for predictive resource management and content delivery.
• Build adaptive control systems that translate ML outputs into real-time adjustments of fidelity and system decisions, ensuring high-quality experiences without compromising stability or latency.
• Collaborate with core engine and performance engineering teams to integrate ML solutions directly into the critical path of gameplay across multiple platforms.
• Define the architectural strategy for deploying and scaling ML across resource management and streaming components at massive global scale.

You Have

• Strong expertise in applied ML—such as reinforcement learning for control, predictive modeling (especially time-series and intent inference), trajectory prediction, or real-time optimization.
• Proficiency in C++, Python, Go, Java, or similar languages, with experience deploying ML models in performance-critical systems.
• A solid understanding of systems-level concepts (memory management, threading, OS signals) or a deep interest in learning them.
• A track record of solving complex optimization problems or integrating ML into real-time systems, ideally in gaming, simulation, robotics, or mobile environments

Benefits

As a full-time employee at Roblox, you will be eligible for equity compensation and benefits as described on this page.

Salary

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

Annual Salary Range

$195,780—$242,100 USD

Work Schedule

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

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