This is a highly specialized role sitting at the intersection of model behaviour and product quality. You'll be the expert on how Claude behaves inside Claude Code, owning and maintaining the system prompts that ship with each new model snapshot. When a new model drops, you're the person making sure Claude Code feels right within days , not weeks.

You'll work closely with Model Quality and Research to understand emergent behaviours and behavioural regressions, and with product and safeguards teams to respond quickly when something goes wrong.

This role requires someone who can move fast on behavioural tuning while maintaining rigor, and who cares deeply about the end-to-end developer experience Claude Code delivers. You'll need strong prompting skills, excellent judgment about model behaviours, and the collaborative skills to work across product, safeguards, and research teams.

Responsibilities:

• Own Claude Code's system prompts for each new model snapshot, ensuring behaviours feel consistent and well-tuned
• Review production prompt changes and serve as a resource for particularly challenging prompting problems involving alignment and reputational risks
• Lead incident response for behavioural and policy concerns, coordinating with product and safeguards teams
• Scale prompting and evaluation best practices across claude code and product teams.
• Deliver product evaluations focused on model behaviours
• Define and streamline processes for rolling out prompt changes, including launch criteria and review practices
• Create model-specific prompt guides that document quirks and optimal prompting strategies for each release
• Collaborate with product teams to translate feature requirements into effective prompts

You may be a good fit if you:

• Are a power user of agentic coding tools and have strong intuition about model capabilities and limitations
• Thrive in high-intensity environments with fast iteration cycles
• Take full ownership of problems and drive them to completion independently
• Are skilled at creating and maintaining behavioural evaluations
• Have strong technical understanding, including comprehension of agent scaffold architectures and model training processes
• Are an experienced coder comfortable working in Python and Typescript
• Have independently driven changes through production systems with strong execution and responsiveness
• Have experience translating user feedback and product needs into coherent prompts and behavioural specifications
• Excel at working across organisational boundaries, collaborating effectively with teams that have differing goals and perspectives
• Have experience translating user feedback and behavioural observations into coherent prompt changes and specifications
• Care deeply about AI safety and making Claude a healthy alternative in the AI landscape

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

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Key responsibilities include:

• Winning new business and driving revenue for Anthropic within the Insurance sector.
• Designing and executing innovative sales strategies tailored to Insurance procurement cycles and budgeting processes to meet and exceed revenue quotas.
• Spearheading market expansion by identifying new use cases within Insurance departments, research centers, and administrative offices.
• Navigating complex stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus.
• Informing product roadmaps and features by gathering feedback from users and conveying Insurance market needs.

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

• 5+ years of B2B sales experience in Insurance technology, preferably in SaaS or emerging technologies.
• A track record of managing complex sales cycles within Insurance organizations and securing strategic deals by understanding both technical requirements and use cases.
• Demonstrated ability to navigate Insurance bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments.
• Extensive experience negotiating complex agreements within Insurance procurement frameworks and policies.
• Proven experience exceeding revenue targets in the Insurance sector by effectively managing an evolving pipeline and sales process.

The annual compensation range for this role is $290,000-$435,000 USD.

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Responsibilities:

• Win new business and drive revenue for Anthropic within the enterprise sector across DACH.
• Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes.
• Spearhead market expansion by identifying new use cases within enterprise departments, innovation centres, and operational offices.
• Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the DACH enterprise landscape.

Requirements:

• Native German speaker with excellent written and verbal communication skills in German and English.
• 8+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies.
• Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities.
• A track record of managing complex sales cycles within large enterprise organisations and securing strategic deals by understanding both technical requirements and business use cases.
• Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments.
• Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies.
• Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process.
• Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives.
• Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the DACH market.
• A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities.
• A passion for and/or experience with advanced AI systems and their applications in enterprise environments.

What We Offer:

• Competitive base salary and commission structure.
• Equity participation in Anthropic's growth.
• Comprehensive benefits package.
• Opportunity to shape the AI industry in DACH and EMEA.
• Professional development and career growth opportunities.

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

The Role

This is an opportunity to join the Gemini App team for devices, bringing Gemini to experiences on XR glasses, smartwatches, cars, headphones, and more! You'll define and lead the product vision for how users interact with AI across a diverse and rapidly expanding ecosystem of hardware, strategically integrating cutting-edge AI capabilities directly into users' daily lives.

Responsibilities

• Define and champion a clear product vision, roadmap, and strategic plan for extending LLM capabilities via tools, effectively integrating emerging AI technologies and ensuring alignment with organisational mission and evolving user needs
• Develop and prioritise product requirements by synthesising user feedback, UX research, rigorous AI model performance metrics, market trends, and competitive analysis, proactively clarifying ambiguities specific to AI's evolving nature and generating insights from complex AI model behaviours to deliver impactful product improvements
• Lead and influence cross-functional teams (Engineering, Research, UX, Legal, etc.) to design, implement, and launch innovative features, effectively bridging AI's technical complexity with organisational goals and user needs through clear communication and strategic narratives
• Own and drive masterful go-to-market strategies for new AI features and products, including strategic positioning, market understanding, and impactful messaging to ensure successful launch and sustained market relevance in a rapidly paced AI landscape
• Maintain deep technical expertise in advanced AI (including LLMs, Diffusion Models, RAG), intuitively understanding and predicting emerging model capabilities. Drive rapid prototyping cycles, gathering targeted user feedback to iteratively refine AI products and swiftly respond to technical breakthroughs
• Lead innovative product development amidst foundational uncertainty, enabling swift strategic pivots and responsive decision-making in response to rapidly changing AI and market conditions, ensuring continuous progress and clear direction

Requirements

• Bachelor's degree or equivalent practical experience
• 10 years of experience in product management or related technical role
• 5 years of experience taking technical products from conception to launch
• Demonstrable, extensive technical knowledge and hands-on product experience with advanced AI technologies, including Large Language Models (LLMs), and ideally familiarity with concepts like Diffusion Models or Retrieval-Augmented Generation (RAG)
• Proven ability to intuitively understand and predict emerging AI model capabilities and engage in credible, informed collaborations with highly technical teams
• Proven experience in designing, managing, and continuously refining rigorous evaluation methods and success metrics for AI models and AI-powered products, converting performance insights into impactful product enhancements
• Demonstrated ability to independently drive complex product initiatives forward in ambiguous and rapidly evolving AI contexts, proactively clarifying uncertainties, generating insights from model behaviours, and adapting strategies decisively
• Experience working cross-functionally with engineering, UX/UI, legal, marketing and other stakeholders to deliver successful products
• Proven ability to prepare and deliver compelling technical presentations to senior leadership, effectively communicating product vision and strategy

Preferred

• Strong aptitude for deeply understanding user perspectives for novel AI products, proactively identifying pain points, and translating nuanced user insights into refined and intuitive AI-powered user experiences
• Hands-on experience in software development or engineering, with a strong understanding of technical concepts and the ability to collaborate with development teams
• Demonstrated success in being a self-starter, and fostering a culture of innovation and driving exceptional results
• Experience in proactively identifying ethical risks in AI systems, familiarity with adversarial analysis, or a background in embedding safety protocols in AI product development

Benefits

• The US base salary range for this full-time position is between $183,000 - $271,000 + bonus + equity + benefits

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

Key Responsibilities

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

Experience & Education Requirements

• Overall experience >4 years, 2 years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 2 years of combined experience required in analytics, performance reporting, and/or process improvement.
• Advanced project and process management experience. Agile preferred.
• Bachelor's degree preferred in Technology, Mathematics, Statistics, Business, or related field.
• Master’s degree preferred in Management, Analytics, Artificial Intelligence.
• Experience working with AI/ML-driven platforms or analytics tools (e.g., customer behavioral modeling, NLP pipelines, predictive analytics).
• Background or coursework in AI, machine learning, data science, or human-centered AI preferred.
• Demonstrated ability to translate technical AI concepts into business language for non-technical stakeholders.

Other Critical Skills

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

Software / Tool Skills

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

Requirements

• Defect management
• Triage & Classification
• Defect Monitoring
• Resolution Management
• RCA
• Data Analysis
• Stakeholder communication

Benefits

• Competitive compensation and benefits package:

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

Note: Benefits differ based on employee level.

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As a FBS Senior Operations Analyst at Capgemini, you will play a key role in driving the integration of intelligent automation, predictive analytics, and GenAI capabilities into digital service channels to improve customer experiences, enhance agent efficiency, and optimize operational performance.

Role Description

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

Key Responsibilities

• Oversee end-to-end digital service operations across customer and agent journeys, partnering with Product, Technology, and Architecture teams to ensure smooth delivery of features, fixes, and enhancements.
• Define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.
• Drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback.
• Manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.
• Build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc.
• Use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.
• Partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution.
• Apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.
• Evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service.
• Promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.
• Lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations.
• Support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

Experience & Education Requirements

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

Other Critical Skills

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

Software / Tool Skills

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

Requirements

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

Benefits

• Competitive compensation and benefits package:

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

Note: Benefits differ based on employee level.

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

About the Role

Anthropic's sandboxing infrastructure enables Claude to safely execute code and interact with external systems. As we expand Claude's capabilities, the reliability, security, and developer experience of this infrastructure becomes increasingly critical. We're looking for an engineer to join the sandboxing team and help shape both the client-side library/API and the underlying infrastructure.

In this role, you'll combine deep infrastructure expertise with an obsession for developer experience. You'll help maintain and evolve a system that must be correct, performant, and intuitive to use. You'll work closely with internal teams to understand their needs, burn down errors and edge cases, and build a roadmap that anticipates where the product needs to go. This is a role for someone who finds satisfaction in both the craft of building reliable systems and the empathy required to serve developers and researchers well.

Responsibilities

• Contribute to the client library, API surface, and underlying infrastructure for Anthropic's sandboxing system, ensuring it is reliable, well-documented, and intuitive to use

• Drive down error rates and improve correctness through systematic debugging, monitoring, and proactive fixes

• Help develop and maintain a product roadmap for sandboxing capabilities, balancing immediate needs with long-term architectural improvements

• Partner closely with internal teams using the sandboxing system to understand their requirements, debug issues, and build tooling that serves their use cases

• Respond to incidents and production issues with urgency, conducting thorough root cause analysis and implementing preventive measures

• Build comprehensive testing, observability, and documentation to ensure the system meets a high quality bar

• Collaborate across the sandboxing team, flexing between client-side and infrastructure work as needed

You May Be a Good Fit If You

• Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs

• Obsess over developer experience—you've thought deeply about API design, error propagation, documentation, and the small details that make a library feel well-crafted

• Have experience operating complex distributed systems

• Bring a track record of systematically improving reliability—you've burned down error budgets, built monitoring, and driven issues to resolution

• Can develop and articulate a long-term vision for a product, translating user feedback and technical constraints into a coherent roadmap

• Are comfortable with ambiguity and can context-switch between reactive incident work and proactive product development

• Communicate clearly with both technical and non-technical stakeholders

Strong Candidates May Also Have

• Experience as a founder or early engineer at an infrastructure-focused startup, where you owned a product end-to-end

• Background in security, sandboxing, or isolation technologies (containers, VMs, seccomp, namespaces, etc.)

• Open-source contributions in the Python ecosystem

• Experience building developer tools, CLIs, or platforms used by other engineers

• History of working on incident response and on-call rotations for production systems

• Exposure to reinforcement learning or model training infrastructure

Representative Projects

These are examples of past work that would indicate a good fit—not a description of the role itself:

• Maintaining an open source SDK through multiple major version upgrades while minimizing breaking changes for users

• Leading an initiative to reduce P0 incidents by XX% through improved error handling, retries, and observability

• Building a developer platform at a startup from zero to product-market fit, iterating based on user feedback

• Embedding with an internal team for a quarter to deeply understand their workflows and shipping targeted improvements to a piece of infrastructure they rely on

• Developing a multi-quarter roadmap for a developer tools product, balancing user requests with technical debt reduction

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building can have a huge impact on society, and we want to make sure that the people building them are representative of the people they'll be serving.

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We're looking for a product designer to help us 10× our product. You'll work directly with the founding team to design core features and experiences that make AI-first software development feel intuitive and powerful. This means designing for professional developers today while creating pathways for builders of tomorrow.

What you'll do

• Design and ship features that define how humans and AI collaborate to build software

• Own end-to-end design for key product areas – from initial concept through implementation and iteration

• Solve complex UX challenges at the intersection of AI capabilities and human intent

• Create interaction patterns and design systems that scale across increasingly sophisticated AI workflows

• Partner closely with engineers to ensure high-quality implementation and rapid iteration

• Use data and user feedback to validate designs and identify opportunities for improvement

You may be a fit if

• You have 3+ years of product design experience shipping software people love

• You've designed developer tools, technical products, or complex enterprise software

• You think in systems and can balance immediate user needs with long-term product vision

• You're comfortable with ambiguity and can drive clarity through design

• You can move between high-level strategy and pixel-perfect execution

• You understand or are eager to learn about code, AI, and how developers work

• You have strong opinions but hold them loosely – you're open to being wrong

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Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

Marketing

Compensation

• $227K – $315K • 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

Like every team at OpenAI, the Marketing team contributes to our broader mission of ensuring responsible and widespread adoption of artificial intelligence. With that aim in mind, we are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform amongst our core audiences. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Research, Comms, and Design teams to create a cohesive customer experience across all our channels. Our focus extends beyond just promoting product features; we aim to provide valuable insights and resources that help our users make the most out of AI technologies.

About the Role

As a Product Marketing Manager for ChatGPT for Work, you will drive marketing strategies that fuel adoption and engagement for one of the world’s most widely used AI products. This role calls for a strategic marketer who can craft compelling narratives by deeply understanding both ChatGPT’s capabilities and the needs of our diverse users.

This role reports into the Head of Product Marketing, and offers a unique opportunity to shape the roadmap and market positioning for products like ChatGPT.

This role will ideally be based in San Francisco, CA, with a hybrid schedule of three days per week in the office, or Remote West Coast, US, with frequent travel.

In this role, you will:

• Develop and execute go-to-market strategies for new features and capabilities within ChatGPT for Work.

• Collaborate with product and research teams to translate complex technical concepts into clear, user-centric messaging.

• Leverage market research and competitive analysis to inform product positioning and identify growth opportunities.

• Create and manage marketing campaigns, content, and materials that grow engagement, adoption and revenue.

• Analyze product usage data and user feedback to refine marketing strategies and improve user experience.

You might thrive in this role if you:

• 10+ years of experience in consumer or product marketing, with a strong focus in technology.

• Strong understanding of AI technologies and the ability to articulate their value to both technical and non-technical audiences.

• Excellent communication and storytelling skills.

• Proven track record of successful product launches and campaigns that drive adoption and revenue.

• Ability to work cross-functionally in a fast-paced, dynamic environment.

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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San Francisco

Employment Type

Full time

Department

Marketing

Compensation

• $284K – $315K • 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 B2B Marketing team contributes to OpenAI’s broader mission of ensuring responsible and widespread adoption of artificial intelligence. We are responsible for developing and executing strategies that drive awareness, engagement, and usage for OpenAI’s products and platform. We take a data-driven approach to understand our customers' needs and challenges, ensuring that their voices are reflected in product development and messaging. We then partner closely with Product, Engineering, Growth, Sales, Research, Comms, and Design teams to create a cohesive customer experience across all our channels.

About the Role

As a Product Marketing Manager (PMM) for small businesses (SMB), you will define and drive marketing strategies that fuel adoption, engagement, and long-term growth across OpenAI’s product portfolio serving small business customers. This includes ChatGPT Business, our API/Platform, Codex, and new products and features designed to help small businesses build, automate, and scale with AI.

This role calls for a strategic marketer who can craft compelling narratives by deeply understanding both OpenAI’s products and the evolving needs of small businesses — from founders and business owners to technical builders. You will translate complex technical functionality into clear, role-based value across a range of SMB use cases.

You will drive go-to-market strategy for the SMB segment across multiple products, helping ensure small businesses thrive wherever they are in their AI adoption journey: from first experimentation to scaled deployment. This includes shaping positioning, segmentation, messaging, and lifecycle strategy that drives acquisition, activation, expansion, and retention within the SMB customer base.

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

In this role, you will:

• Develop and execute SMB-focused go-to-market strategies across ChatGPT Business, the OpenAI API, Codex, and new products and feature launches.
• Define segmentation, positioning, and messaging tailored to small business personas across industries, roles, and levels of technical maturity.
• Collaborate with product and research teams to translate complex technical concepts into clear, user-centric messaging.
• Leverage market research and competitive analysis to inform product positioning and identify growth opportunities.
• Create and manage marketing campaigns, content, and materials that grow engagement, adoption and revenue.
• Analyze product usage data and user feedback to refine marketing strategies and improve user experience.

You might thrive in this role if you:

• Have 12+ years of experience in product marketing or segment marketing within technology or SaaS.
• Have experience marketing platform, developer, or product-led offerings to SMB or mid-market audiences.
• Have a strong understanding of AI technologies and the ability to articulate their value to both technical and non-technical business users.
• Have led successful product launches or growth initiatives that drive adoption and expansion.
• Are comfortable working cross-functionally in a fast-paced, dynamic environment.
• Take a customer-back approach to segmentation, positioning, and lifecycle strategy.

About OpenAI

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

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What you'll do

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

What you need

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

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