At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.

Key responsibilities include:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

You might be a good fit if you have:

• A law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines
• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations
• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts
• Experience supporting sales teams across diverse client segments in deal negotiations

The annual compensation range for this role is £125,000-£165,000 GBP.

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In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts

• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance

• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements

• Identify and escalate legal risks appropriately while supporting business momentum

• Stay current on legal developments affecting AI technologies

• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

You might be a good fit if you have:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction

• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions

• Clear communication skills and comfort translating legal concepts for non-lawyer audiences

• A low-ego, collaborative approach to working with colleagues and external partners

• Curiosity about AI technology, AI Policy, and commitment to responsible AI development

• Experience navigating multi-stakeholder agreements involving technical and policy considerations

• Comfort in fast-paced environments with shifting priorities and tight deadlines

• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations

• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts

• Experience supporting sales teams across diverse client segments in deal negotiations

Role-specific policy: For this role, we expect all staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is €165,000-€210,000 EUR.

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It’s Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life.

This is a hands-on, mid-level software engineering role for someone who is equally comfortable reading a business process flowchart and writing production-grade Python.

You'll work end-to-end , from discovery and scoping through prototyping, launch, and iteration , using the latest agentic frameworks, tool-calling patterns, and responsible AI practices.

What you'll do:

• Discover and scope AI opportunities: Partner with internal teams across corporate functions to understand their workflows, pain points, and goals, and identify high‑value AI/automation opportunities.
• Map and improve business processes: document current workflows, identify bottlenecks, and propose AI‑enabled changes that deliver clear business outcomes (e.g., time or cost savings, improved quality or compliance).
• Design end-to-end AI solutions: Design and implement AI‑enabled tools and workflows that integrate with existing systems and data sources, and that are intuitive for non‑technical users.
• Build and ship production-quality software: Write clean, maintainable code and tests.
• Pilot, rollout, and drive adoption: Pilot, roll out, and drive adoption of solutions by working closely with end‑users, gathering feedback, and iterating based on real‑world usage.
• Champion for responsible AI: Ensure solutions follow privacy, security, and compliance expectations, especially when working with sensitive or regulated data.
• Build for reuse: Create and share reusable patterns, components, and documentation to make future AI/automation work faster and more consistent across teams.
• Accelerate Workflows with Generative AI and Automation: Leverage AI to accelerate execution (e.g., draft, prototype, outline), explore alternative solutions using AI (iterate, compare approaches), synthesize information with AI (summarize, distill key themes), automate repeatable work (documentation, reporting, QA checks)

What we're looking for:

We're looking for mid-level engineers who have already shipped something real with AI , and who can work as a peer with non-technical business partners, not just as an order-taker.

Specifically, you bring:

• Software engineering foundation. A CS, Engineering, Data Science, or related degree (or equivalent experience), with demonstrated ability to build and operate production systems , backend services, internal tools, integrations, or data applications.
• Hands-on AI and automation delivery. You've shipped AI-powered or automation-driven solutions in a real environment.
• Agentic AI literacy. You understand how modern agentic systems are constructed , the difference between local and remote agents, how MCP (Model Context Protocol) works, what Agent Skills and Hooks are for, and how A2A (Agent-to-Agent) coordination is structured.
• System design and architecture thinking. You can sketch a data flow, reason about integration points, evaluate trade-offs between approaches, and design for failure , including fallbacks, retry logic, timeouts, and human escalation paths.
• Data and security judgment. You understand data access controls, the risks of giving AI broad access to sensitive information, PII minimization, audit logging, and what responsible data handling looks like in an enterprise environment.
• Business function acumen. You can engage credibly with stakeholders in Marketing, Finance, Sales, HR, Legal, or Operations , understanding their workflows, KPIs, and constraints well enough to scope solutions that fit their real needs.
• Clear, collaborative communication. You can explain architecture trade-offs to a Finance Manager and debug a prompt failure with an engineer in the same afternoon.

Preferred Qualifications:

• Experience working embedded with or alongside corporate / G&A functions (Finance, Legal, HR, Marketing, Sales Operations, or similar).
• Practical experience with agentic frameworks such as LangGraph, Claude Agent SDK, or comparable tooling.
• Familiarity with MCP server design , including building, deploying, and securing MCP-compliant tool servers.
• Experience designing and evaluating AI outputs at scale: eval sets, sampling pipelines, human-in-the-loop review queues, or A/B testing of AI-powered features.
• Exposure to responsible AI frameworks: data minimization, differential privacy concepts, model output auditing, or working in PII-sensitive / regulated domains.
• Experience with RAG (Retrieval-Augmented Generation) pipelines, vector databases, or enterprise search integrations.
• Familiarity with CI/CD for AI: prompt versioning, model version pinning, regression testing for LLM-powered features.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE #LI-KBF

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As a Staff Product Manager, you will be responsible for building proactive safety frameworks that scale with our growing AI capabilities, partnering deeply with engineering, policy, data science, and design to protect our users while enabling Pinterest to innovate responsibly.

This is a high-impact role for someone who is passionate about the intersection of AI and user safety, and who thrives in ambiguous, fast-evolving problem spaces. You will work at the frontier of responsible AI - anticipating novel harms before they emerge, red-teaming new AI features, and translating complex policy goals into measurable product requirements.

Key responsibilities will include:

• Defining and driving the product roadmap for GenAI safety across Pinterest's AI-powered surfaces
• Leading proactive identification of risks, failure modes, and adversarial attack vectors across AI systems
• Designing structured red-teaming exercises and evaluation frameworks before and after product launches
• Partnering closely with Trust & Safety policy, legal, and ethics teams to translate nuanced content guidelines into precise, buildable product requirements and model guardrails
• Working with engineering, ML, design, data science, policy, legal, comms, and operations teams to define, align, and ship AI safety solutions across global markets and diverse user populations
• Defining and tracking quantitative safety metrics, including fairness audits, false positive/negative rates, disparate impact analysis, and content harm reduction
• Developing and maintaining AI safety incident runbooks and escalation frameworks, and leading rapid triage and remediation when AI systems produce harmful or unexpected outputs

If you're passionate about the intersection of AI and user safety, and thrive in ambiguous, fast-evolving problem spaces, we encourage you to apply.

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Your primary responsibilities will include designing and driving projects in the responsible AI frontier to identify, avoid, and mitigate bias across a wide range of ML applications at Pinterest. You'll collaborate with other engineering teams to leverage their platforms and signals and work with them to collaborate on the adoption and evaluation of Responsible AI practices and ML Fairness tooling across Pinterest.

You'll also mentor junior engineers on the Responsible AI team and across the company on the R-AI space, and work with the team and senior leaders at the company to define and drive technical strategy in this area.

To be successful in this role, you'll need extensive, real-world experience applying advanced ML methods to production systems, with a strong track record in responsible technology spanning fairness, ethics, and broader societal considerations. You'll also need deep familiarity with cutting-edge ML architectures and their applications in large-scale Search and Recommender Systems.

In addition, you'll need proven ability to measure, deploy, and refine fairness interventions and broader Responsible AI solutions at scale, bridging state-of-the-art research with tangible product impact. You'll also need 4+ years working experience in the engineering teams that build large-scale ML-driven user-facing products, and 1+ years experience leading cross-team engineering efforts.

Nice to have: publications at top ML conferences, experience using AI coding assistants, familiarity with LLM-powered productivity tools, and expertise in scalable real-time systems that process stream data.

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You'll lead capital raising initiatives, manage investor relationships, and help prepare Anthropic for the next phase of its evolution as a company. Working closely with our leadership team, you'll help ensure Anthropic has the financial resources and strategic partnerships needed to fulfill our mission of building reliable, interpretable, and steerable AI systems.

In this role, you'll leverage your expertise across capital markets and financial strategy to drive fundraising activities, build robust investor relations frameworks, and lay the groundwork for long-term financial flexibility. You'll also support selective corporate development opportunities that align with our strategic priorities.

The ideal candidate brings deep capital markets experience, strong analytical capabilities, and exceptional relationship-building skills to help guide Anthropic through its next phase of growth while maintaining our commitment to responsible AI development.

Responsibilities:

• Lead capital raising processes, working with executive leadership to determine timing, structure, and terms for potential financing rounds

• Build and maintain relationships with existing and potential investors across institutional, strategic, and financial investor bases

• Develop comprehensive investor relations strategies, including communications, reporting frameworks, and engagement plans

• Help build financial infrastructure and reporting capabilities to support institutional-grade transparency and governance

• Track and analyze market conditions, comparable transactions, and valuation benchmarks to inform capital strategy

• Identify and evaluate strategic investment opportunities and M&A transactions aligned with Anthropic's mission

• Create detailed financial models, valuation analyses, and market research to support strategic decision-making

• Prepare and present recommendations to leadership and the board on capital structure and financing strategies

• Collaborate with Finance, Legal, and Comms teams to align financial and strategic initiatives with organizational priorities

You may be a good fit if you:

• Have 8+ years of experience in investment banking, equity capital markets, private equity, venture capital, or similar roles with significant capital markets exposure

• Possess deep knowledge of capital markets, financial instruments, transaction structures, and institutional investor perspectives

• Have a proven track record of successfully executing capital raises or advising on financing transactions

• Demonstrate exceptional financial modeling and analytical capabilities

• Are a strategic thinker who can connect financial decisions to long-term organizational goals

• Have excellent communication skills and can effectively engage with diverse stakeholders including investors, executives, and technical teams

• Thrive in fast-paced environments and can manage multiple complex projects simultaneously

• Show sound judgment when evaluating risks and opportunities in ambiguous situations

• Are passionate about AI safety and align with Anthropic's mission to develop AI systems that are reliable, interpretable, and steerable

Strong candidates may also:

• Have experience in technology or AI-related industries

• Bring experience from companies that have scaled through major growth transitions or prepared for significant capital markets events

• Possess advanced degrees in finance, business, or related fields

• Have worked with both private and public companies, understanding the requirements and expectations at different stages

• Demonstrate knowledge of AI research and development landscapes

• Show intellectual curiosity about the technical aspects of AI safety and alignment

• Have a strong professional network in relevant investment communities

Bring experience working in high-growth, mission-driven organizations

Annual compensation range for this role is $250,000-$310,000 USD.

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We're looking for a highly skilled Member of Technical Staff to join our team at xAI. As a key member of our team, you will design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments.

Responsibilities:

• Design, build, and optimize integrations between xAI's frontier models and international government systems, platforms, and data environments
• Develop secure, scalable solutions for use cases such as policy analysis, edtech, scientific research support, public health modeling, regulatory workflows, and citizen-facing services across diverse global contexts
• Collaborate on custom SDKs, APIs, developer tools, and documentation tailored for international government and enterprise developers
• Partner with international agency stakeholders to understand requirements, prototype solutions, and iterate rapidly based on real-world feedback, including during on-site assignments
• Contribute to safe deployment practices, including red-teaming, bias evaluation, output filtering, and explainability features for high-stakes non-classified applications in varied regulatory landscapes
• Fine-tune and adapt xAI models for specific international government use cases, incorporating custom guardrails and evaluation frameworks to ensure alignment with mission objectives and ethical guidelines
• Ship production-grade code and features with a bias toward speed, simplicity, and measurable impact

Basic Qualifications:

• 4+ years of hands-on software engineering experience building scalable systems, APIs, or AI/ML applications (strong Python proficiency required; other languages a plus)
• Experience fine-tuning AI models for government or mission-critical use cases, including building evaluations and ensuring safety and performance
• Experience deploying complex AI and data systems in sovereign environments, ensuring compliance with international regulations for technology and AI in government or public sector settings
• Willingness and ability to undertake travel and international assignments to regions such as the Americas, Asia, and the Middle East and potentially more.
• Strong product sensibility: ability to translate ambiguous stakeholder needs into concrete technical solutions
• Demonstrated ability to write clean, maintainable, high-performance code under tight timelines
• Exceptional problem-solving skills and intellectual curiosity,you thrive on hard, ambiguous challenges
• Excellent communication skills; you can explain complex technical concepts to non-technical partners clearly and concisely

Preferred Skills and Experience:

• Prior work on AI safety, governance, red-teaming, or responsible AI deployment
• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), or API orchestration
• Background in policy-adjacent technical roles, civic tech, or public-interest technology with an international focus
• Contributions to open-source AI projects or developer tools

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The ideal candidate is a strategic leader who can balance visionary thinking with operational excellence. You will set the marketing strategy, build and inspire high-performing teams, and create integrated marketing programs that tell Claude's story compellingly while driving measurable business outcomes.

Responsibilities:

• Define and own the comprehensive marketing strategy driving business outcomes for Claude
• Lead and develop a team of marketing professionals across multiple disciplines, fostering a culture of excellence, creativity, and data-driven decision-making
• Establish Claude's positioning in the market and develop messaging frameworks that differentiate Claude from competitors while authentically communicating Anthropic's commitment to AI safety
• Drive integrated marketing campaigns that build awareness, generate demand, and accelerate adoption across technical and non-technical prosumer segments
• Partner with product leadership to develop go-to-market strategies for new Claude capabilities and product features
• Build measurement frameworks and establish KPIs to track marketing effectiveness, regularly analyzing performance and optimizing strategies
• Own the marketing budget, allocating resources to maximize ROI across brand building, growth initiatives, and emerging opportunities
• Work closely with communications and policy teams to ensure marketing narratives align with Anthropic's broader mission and public commitments
• Identify strategic partnership and collaboration opportunities that extend Claude's reach and cultural relevance
• Represent marketing in executive forums, providing strategic counsel on market dynamics, competitive landscape, and growth opportunities
• Stay ahead of trends in AI adoption, marketing technology, and cultural shifts to inform forward-looking strategies

You may be a good fit if you have:

• 15+ years of marketing experience with at least 5 years in senior leadership roles overseeing the full marketing funnel
• Proven track record of building and scaling high-performing marketing teams at fast growth technology companies
• Experience developing and executing integrated marketing strategies that drive measurable business outcomes, scaling products in global markets
• Demonstrated success leading diverse teams across brand, growth, product marketing, and content/social functions
• Strong strategic thinking abilities with the capacity to translate company vision into actionable marketing plans
• Exceptional communication and presentation skills, with the ability to influence and inspire at all levels of the organization
• Experience marketing complex, technical products to both consumer and enterprise audiences
• Track record of driving business results in competitive, rapidly evolving markets
• Data-driven decision-making approach with comfort analyzing metrics and deriving actionable insights
• Proven ability to manage significant budgets and optimize resource allocation
• Strong cross-functional collaboration skills and experience working closely with product, sales, and executive teams
• Comfort operating in ambiguous environments and adapting strategies as markets and products evolve
• Deep passion for AI and its potential to positively impact society

Strong candidates may also have:

• Experience marketing AI, machine learning, or other emerging technology products
• Understanding of the AI safety landscape and experience communicating about responsible AI development
• Background in consumer technology products with large-scale adoption
• Experience working with or advising executive leadership and boards
• Expertise in leveraging AI and emerging technologies within marketing operations
• Previous experience at companies that balanced mission-driven work with commercial success

The annual compensation range for this role is $400,000-$570,000 USD.

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We are seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA. As a strategic legal partner to our sales teams, you will support complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

Requirements:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines

Benefits:

• Annual compensation range: £125,000-£165,000 GBP
• Competitive benefits package
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours

How to Apply:

If you are a motivated and experienced legal professional looking to join a dynamic team, please submit your application, including your resume and cover letter, to [careers@anthropic.com](mailto:careers@anthropic.com).

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Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies
• Foster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA region

You might be a good fit if you have:

• Law degree and qualification to practice law in a relevant EMEA jurisdiction
• At least 4 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities and tight deadlines
• A 'doer' attitude,willingness to roll up your sleeves and pitch in where needed

Strong candidates may have:

• In-house experience at leading technology companies with EMEA operations
• Previous experience with AI, machine learning, or other experimental technologies in commercial contexts
• Experience supporting sales teams across diverse client segments in deal negotiations

Role-specific policy: For this role, we expect all staff to be able to work from our Dublin office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

The annual compensation range for this role is €165,000-€210,000 EUR.

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You'll lead capital raising initiatives, manage investor relationships, and help prepare Anthropic for the next phase of its evolution as a company. Working closely with our leadership team, you'll help ensure Anthropic has the financial resources and strategic partnerships needed to fulfill our mission of building reliable, interpretable, and steerable AI systems.

In this role, you'll leverage your expertise across capital markets and financial strategy to drive fundraising activities, build robust investor relations frameworks, and lay the groundwork for long-term financial flexibility. You'll also support selective corporate development opportunities that align with our strategic priorities.

The ideal candidate brings deep capital markets experience, strong analytical capabilities, and exceptional relationship-building skills to help guide Anthropic through its next phase of growth while maintaining our commitment to responsible AI development.

Responsibilities:

• Lead capital raising processes, working with executive leadership to determine timing, structure, and terms for potential financing rounds

• Build and maintain relationships with existing and potential investors across institutional, strategic, and financial investor bases

• Develop comprehensive investor relations strategies, including communications, reporting frameworks, and engagement plans

• Help build financial infrastructure and reporting capabilities to support institutional-grade transparency and governance

• Track and analyze market conditions, comparable transactions, and valuation benchmarks to inform capital strategy

• Identify and evaluate strategic investment opportunities and M&A transactions aligned with Anthropic's mission

• Create detailed financial models, valuation analyses, and market research to support strategic decision-making

• Prepare and present recommendations to leadership and the board on capital structure and financing strategies

• Collaborate with Finance, Legal, and Comms teams to align financial and strategic initiatives with organizational priorities

You may be a good fit if you:

• Have 8+ years of experience in investment banking, equity capital markets, private equity, venture capital, or similar roles with significant capital markets exposure

• Possess deep knowledge of capital markets, financial instruments, transaction structures, and institutional investor perspectives

• Have a proven track record of successfully executing capital raises or advising on financing transactions

• Demonstrate exceptional financial modeling and analytical capabilities

• Are a strategic thinker who can connect financial decisions to long-term organizational goals

• Have excellent communication skills and can effectively engage with diverse stakeholders including investors, executives, and technical teams

• Thrive in fast-paced environments and can manage multiple complex projects simultaneously

• Show sound judgment when evaluating risks and opportunities in ambiguous situations

• Are passionate about AI safety and align with Anthropic's mission to develop AI systems that are reliable, interpretable, and steerable

Strong candidates may also:

• Have experience in technology or AI-related industries

• Bring experience from companies that have scaled through major growth transitions or prepared for significant capital markets events

• Possess advanced degrees in finance, business, or related fields

• Have worked with both private and public companies, understanding the requirements and expectations at different stages

• Demonstrate knowledge of AI research and development landscapes

• Show intellectual curiosity about the technical aspects of AI safety and alignment

• Have a strong professional network in relevant investment communities

Bring experience working in high-growth, mission-driven organizations

Annual compensation range for this role is $250,000-$310,000 USD.

XML job scraping automation by YubHub

You will operate at the intersection of digital operations, customer experience, and AI-powered transformation. This role helps 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 >4-6 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.
• 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

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• 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.

XML job scraping automation by YubHub

As a Customer Experience Digital Operations Manager, you will 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. You will define and monitor KPIs such as experience scores, CSAT, FCR, and system uptime to track digital performance across various digital channels.

You will drive real-time customer and agent experience tracking, identify friction points, and lead UX improvement initiatives backed by data analysis and user feedback. You will manage critical defects and high-priority escalations by coordinating with stakeholder teams to ensure rapid and accurate resolution.

You will build and maintain real-time dashboards to surface trends, generate insights, and inform leadership decisions; leverage tools such as Qualtrics, Mixpanel, and Fullstory etc. You will use customer and partner research to strengthen analytical capabilities, identify market trends, and recommend customer experience enhancements.

You will partner with data science, analytics, and engineering teams to embed AI-driven insights into digital operations, enabling proactive issue detection and resolution. You will apply AI-based predictive models to forecast demand, detect patterns, and inform operational and resource planning.

You will evaluate and operationalize AI copilots, GenAI assistants, and automation tools to streamline agent workflows and improve customer self-service. You will promote responsible AI through governance, transparency, bias monitoring, explainability, and data privacy practices.

You will lead GenAI-powered experiments that include personalized content, conversational experiences, and journey-level optimizations. You will support AI-driven journey analytics using NLP, clustering, sentiment analysis, and behavioral modeling to improve customer understanding.

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 >8 years, 5+ years’ experience required with extensive relevant customer understanding/user research/consulting experience, packaging and delivering insights to influence change. 6+ 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.

Requirements

• 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)

Benefits

• Competitive compensation and benefits package:
  • Competitive salary and performance-based bonuses
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development

Note: Benefits differ based on employee level.

XML job scraping automation by YubHub

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 > 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.

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.

XML job scraping automation by YubHub

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 >4-6 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

• Content Management Systems
• Messaging Platforms
• Workflow optimization
• Hyper-personalization
• Data-integrity & troubleshooting
• Performance reporting
• Agile
• 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.

XML job scraping automation by YubHub

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.

As a Digital Product Operations Manager, you will:

• 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.

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 > 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)

XML job scraping automation by YubHub

We are seeking a highly skilled program manager to join our team as a Technical Program Management (AI Governance), Principal. As a principal program manager, you will be responsible for driving portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.

What You'll Be Doing:

• Drive portfolio-level prioritization and delivery of Gen/Agentic AI initiatives, ensuring focus on highest-value outcomes.
• Ensure alignment between program execution and organizational goals, maximizing business value from AI investments.
• Contribute strongly towards cross-functional AI governance and decision forums that balance innovation velocity with enterprise risk and compliance.
• Shape the future of the Gen/Agentic AI solutions, influencing the direction of AI governance, risk management, and compliance efforts.
• Enhance cross-functional collaboration and knowledge sharing, breaking down silos to accelerate innovation.
• Build scalable governance frameworks and operationalize industry standards to ensure compliance and quality throughout the AI lifecycle.
• Empower business units to confidently adopt GenAI technologies, driving enterprise-wide transformation and agility.
• Collaborate closely with stakeholders to define program objectives, scope, and deliverables that align with strategic business goals.
• Develop, maintain, and optimize comprehensive program plans, resource allocation, and risk mitigation strategies.
• Monitor program progress, identify potential roadblocks, and implement proactive solutions to keep projects on track.
• Provide strategic guidance and support to project teams, acting as a mentor and thought leader in AI program delivery.
• Foster a culture of continuous improvement within the PMO function, incorporating best practices and lessons learned.
• Stay current with industry trends, regulatory developments, and advancements in AI to enhance program delivery and governance.
• Drive the successful delivery of GenAI offerings and strategic initiatives, positioning Synopsys as a leader in enterprise AI adoption.

What You'll Need:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related discipline.
• Proven experience as a Program Manager, leading complex projects in the software or high-tech industry and leadingend-to-end evaluation of new model/app/tool requests (including third-party solutions), coordinating risk reviews across IP, privacy, security, and legal/compliance.
• Robust understanding of Generative AI (GenAI), Large Language Models (LLMs), Agentic AI, Responsible AI, and AI Governance, and are adept at embedding responsible practices, such as fairness, transparency, privacy, and accountability—into every stage of program delivery.
• Awareness of industry standards such as the NIST AI Risk Management Framework and EU AI Act-style Quality Management Systems, and ability to operationalize them effectively within large organizations.
• Hands-on experience with portfolio management tools (e.g., Jira, Azure DevOps), intake workflow systems, and knowledge bases (e.g., SharePoint, Confluence).
• Ability to drive Scalable, auditable AI governance mechanisms adopted across multiple business units.
• Reduced friction and cycle time for AI model/app approvals without increasing risk
• Measurable enterprise adoption and business value from GenAI deployments

Who You Are:

• Strategic thinker with strong analytical and problem-solving skills.
• Excellent communicator, able to convey complex ideas clearly to technical and non-technical stakeholders.
• Adaptable and resilient in the face of change, with a continuous improvement mindset.
• Collaborative, inclusive, and able to build strong relationships across diverse teams and geographies.
• Comfortable operating in areas of ambiguity where policy, technology, and business objectives intersect.
• Able to manage multiple priorities in a dynamic environment

The Team You'll Be A Part Of:

You will be part of GenAI Center of Excellence, a team that is passionate about driving innovation and advancing our AI Platform & Solutions. This role reports to Head of AI Program Management & Chief of Staff, GenAI Center of Excellence. We are a close-knit, collaborative group that values open communication and continuous learning. We collaborate closely with engineering, product, compliance, and executive teams to deliver impactful results and shape the company’s AI strategy.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

XML job scraping automation by YubHub

We work on the bleeding edge and leverage the most powerful pretrained models and algorithms, making it critical that we ensure our AI systems behave safely and align with organisational values.

You will be responsible for designing novel safety evaluation frameworks, curating high-quality data for robust evaluations and training, prototyping new safety capabilities, and developing safety-focused fine-tuning algorithms.

We’re looking for outstanding individuals with deep expertise in AI safety who can translate research insights into practical solutions while being a strong communicator and collaborative teammate.

The ideal candidate takes the initiative in exploring new safety methodologies and enjoys building world-class, trustworthy AI experiences in a fast-paced applied research environment.

Microsoft’s mission is to empower every person and every organisation on the planet to achieve more.

As employees we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals.

Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location.

This expectation is subject to local law and may vary by jurisdiction.

XML job scraping automation by YubHub

Responsibilities:

• Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Experience writing production-quality Python or Java code
• Demonstrated interest in Responsible AI

XML job scraping automation by YubHub

Responsibilities:

• Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Experience writing production-quality Python or Java code
• Demonstrated interest in Responsible AI.

XML job scraping automation by YubHub

Responsibilities:

• Lead and mentor a team of engineers building AI-powered analytics for Copilot usage and quality metrics.
• Own technical strategy for trend detection, cohort analysis, and drill-down workflows linking quantitative metrics to qualitative conversation evidence.
• Prototype and productionize ML models for anomaly detection and predictive insights.
• Ensure compliance and security for data handling across telemetry, logs, and conversation datasets.
• Collaborate with PMs, data scientists, and UX to define roadmap and deliver intuitive, high-impact workflows.
• Drive integration with existing platforms (Azure Data Bricks and other Microsoft internal systems) and ensure reliability scalability, and cost efficiency.

Qualifications:

• Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Experience writing production-quality Python or Java code
• Demonstrated interest in Responsible AI

XML job scraping automation by YubHub

This is your opportunity to be at the forefront of agentic product quality engineering – powering every Bing, Edge, and Copilot experience worldwide. You'll shape and drive the next phase of intelligent automation, proactively catching issues earlier than ever before in the development pipeline and ensuring seamless, world-class experiences for over a billion users.

Responsibilities: Strategic Roadmap and Product Quality You will develop and execute a comprehensive strategic roadmap for agentic testing to enhance product quality across all of Microsoft AI (MAI). This will involve identifying and capitalizing on internal and external opportunities for improving product quality, especially in the era of AI-driven coding.

Customer Engagement Engage with customer teams to gain insights into their pain points and user needs. Integrate this feedback into the roadmap and feature planning to better align the platform's offerings with customer requirements.

Growth Strategy Create and implement growth strategies, including forming partnerships and collaborating across organizations, to drive the adoption of the product.

Cross-Functional Collaboration Collaborate with various cross-functional teams to drive product development, oversee deliverables, and ensure that key performance indicators (OKRs) are met.

Monitoring and Communication Continuously monitor the progress of the product, identify potential risks, and communicate updates to senior leadership to ensure transparency and alignment.

User Experience Design Design and deliver intuitive user experiences that not only delight customers but also provide valuable capabilities for identifying issues.

Execution Excellence Ensure rapid and high-quality execution of product initiatives by working closely with development and design teams.

Budget Management A key responsibility will be managing vendor and compute budgets, which are valued in the millions of USD. You will optimize these resources to successfully achieve organizational goals.

Qualifications: Bachelor's Degree AND 5+ years experience in product/service/program management or software development. OR equivalent experience.

A proven record in leading large-scale consumer product roadmaps. Strong skills in cross-functional initiatives and customer management. Excellent data analysis, communication, and negotiation abilities, able to align teams and stakeholders.

An entrepreneurial, action-oriented approach, making swift, confident decisions. 5+ years in product management, preferably with an MBA. Experience managing AI/ML product lifecycles, including model development, deployment, and monitoring. Ability to translate business needs into AI-driven solutions and articulate technical concepts to non-technical stakeholders. Familiarity with data privacy, ethics, and responsible AI practices. Proficiency in using metrics and experimentation to evaluate AI product impact and performance. Comfort collaborating with data scientists, engineers, and designers to deliver AI-powered features.

Preferred Qualifications: Bachelor's Degree AND 8+ years experience in product/service/program management or software development. OR equivalent experience. 2+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 4+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 4+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product).

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We’re looking for a hands-on ML engineer to prototype and productionize complex classification flows on real production logs, operate prompted classifiers at scale (ad hoc and scheduled), and build secure, compliant data-labeling pipelines.

Responsibilities:

• Build evaluation loops (precision/recall, calibration, drift, human-in-the-loop) and publish dashboards/SLOs.
• Generalize machine learning (ML) solutions into repeatable frameworks.
• Operationalize prompted classifiers at scale (batch & streaming), including orchestration, autoscaling, monitoring, and cost guardrails.
• Conduct thorough review of data analysis and techniques used to summarize the process review and highlight areas that have been missed or need re-examining.
• Collaborate cross-functionally with DS, Security, and Platform to define schemas, access patterns, and governance.
• Independently write efficient, readable, extensible code and model pipelines.

Commit to a customer-oriented focus by acknowledging customer needs and perspectives, validating customer perspectives, focusing on broader customer context, and serving as a trusted advisor.

Qualifications:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 7+ years’ experience writing production-quality Python or Java or Scala code.
• 5+ years’ experience in distributed systems design and implementation of large scale data processing systems
• 3+ years’ experience building ML data pipelines using atleast one of AML, Promptflow, Langchain or LangGraph
• Demonstrated interest in Responsible AI.
• Experience prompting, evaluating, and working with large language models.

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We're looking for a Commercial Counsel, GTM to join our legal team at the forefront of shaping how cutting-edge AI technology reaches users, researchers, and enterprises worldwide. You'll work alongside experienced colleagues who operate as true strategic partners—moving fast, thinking creatively, and working collaboratively to support deals that matter.

In this role, you'll focus heavily on supporting our Go-to-Market teams, handling enterprise agreements and customer negotiations while gaining exposure to a range of commercial work including research collaborations, product partnerships, and procurement. Additionally, you’ll have opportunities to work on cutting-edge AI safety and research agreements, including threat-sharing frameworks with leading security organizations and collaborations that shape and advance responsible AI development standards.

Responsibilities:

• Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions including enterprise customer contracts
• Partner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidance
• Help build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvements
• Potentially partner with Policy, Safeguards, and Research teams on novel AI governance initiatives
• Identify and escalate legal risks appropriately while supporting business momentum
• Stay current on legal developments affecting AI technologies

You might be a good fit if you have:

• A JD and active membership in at least one U.S. state bar (California preferred)
• At least 3 years of legal experience, ideally with exposure to commercial contracts, SaaS agreements, or technology transactions
• Clear communication skills and comfort translating legal concepts for non-lawyer audiences
• A low-ego, collaborative approach to working with colleagues and external partners
• Curiosity about AI technology, AI Policy, and commitment to responsible AI development
• Experience navigating multi-stakeholder agreements involving technical and policy considerations
• Comfort in fast-paced environments with shifting priorities
• A "doer" attitude—willingness to roll up your sleeves and pitch in where needed

Role-specific policy:

For this role, we expect all staff to be able to work from our San Francisco or New York offices at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.

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.

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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

Location

San Francisco

Employment Type

Full time

Department

Intelligence & Investigations

Compensation

• $230K – $325K • Offers Equity

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

Benefits

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

About the Team

The Intelligence and Investigations team seeks to rapidly detect and disrupt abuse in AI technologies to ensure their safe use. We are dedicated to identifying emerging abuse trends, analyzing risks, and working with our internal partners to implement effective mitigation strategies to protect against misuse. Our efforts contribute to OpenAI's overarching goal of developing AI that benefits all of humanity.

About the Role

As an Intelligence Systems Engineer, you’ll be focused on advancing our Intelligence & Investigations efforts at OpenAI, ensuring the safe and responsible use of AI across our products and services.

We are seeking a self-starter to prototype, develop, and maintain new tools and processes that integrate OpenAI’s models and infrastructure to enable internal teams to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions.

You will be a crucial technical bridge between our data scientists and subject matter experts and technical teams like Platform Integrity, Safety Systems, and Research by leading the development of innovative tools and processes that bolster goals in scaled collections, investigations, and analysis.

The ideal candidate has strong analytical and data skills, with a background in both prototyping and building scalable systems that can swiftly detect emerging threats, process vast amounts of information, and deliver insights to stakeholders. We value professionals with outstanding communication skills, a commitment to continuous learning, and who are dedicated to promoting the responsible use of AI.

In this role, you will:

• Prototype, build, and maintain at-scale intelligence systems that detect, triage, and monitor targeted signals from both open-source and internal data

• Analyze requirements and deliver end-to-end solutions that address complex intelligence challenges while ensuring code quality and scalability

• Be a crucial technical bridge between our Intelligence needs and technical teams like Platform Integrity, Safety Systems, and Research

• Contribute to shaping the team’s technical strategy and design user interfaces for non-technical investigators and analysts

• Prototype new applications to automate team workflows and route leads

• Report on scaled impact using advanced data analysis and visualization products

• Work closely with internal stakeholders and address their technical intelligence needs

You might thrive in this role if you have / are:

• Experience in engineering and project management, ideally with a focus on security, intelligence, or data analysis products.

• Strong technical background and proven track record of building and maintaining systems that enable users to make sense of large, open-domain datasets, fight abuse, and inform high-stakes decisions.

• Proficiency in data analysis, SQL / Python, and application of novel AI techniques for problem-solving.

• Demonstrated ability to leverage cross-functional teams, manage complex product ecosystems, and deliver results in a fast-paced and sometimes ambiguous environment.

• Strong belief in & passion for the value of AI in enabling humans to better understand the complexity of the world

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

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Compensation

• $207K – $230K • 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 is building the learning and certification ecosystem that will shape how enterprises adopt AI at scale. We are launching our first wave of enterprise-grade certifications with a set of strategic launch partners. As a Launch Manager, you will own the relationships, programs, and operational execution needed to deliver world-class certification launches across our customers and product partners.

You will be the connective tissue ensuring that each partner’s certification journey is smooth, high-impact, and tightly aligned to our broader learning strategy.

About the role

You will serve as the primary point of contact for our certification partners, managing the full lifecycle from selection to launch to ongoing iteration. You will coordinate pilots, track learning outcomes, gather and translate partner feedback, and ensure that launches land cleanly inside complex enterprise environments. You will also work closely with our product partners to ensure a clear end-to-end experience.

You will work cross-functionally to ensure we deliver certification experiences that meet OpenAI’s bar for rigor, clarity, and customer impact.

In this role, you will:

Own high-impact partner relationships

• Serve as the primary strategic and operational lead for certification launch partners.

• Drive partner vision, alignment, and success criteria with leaders across L&D, HR, technical teams, and executive sponsors at our top customers

• Build trust quickly, anticipate needs, and influence partner decisions that ensure successful certification rollout and adoption.

Shape and execute the certification launch model

• Design and run partner pilots end-to-end: scoping, milestone setting, readiness, communications, logistics, and measurement.

• Build repeatable playbooks that reduce friction and raise quality across partners as the program scales.

• Proactively identify risks and unblock cross-functional dependencies before they become issues.

Drive cross-functional alignment

• Collaborate deeply with the Certification/Jobs team to align partner needs with product, assessment, and content roadmaps.

• Coordinate with Certification/Jobs to ensure certification platform capabilities meet enterprise requirements (assessment delivery, scoring, reporting, badging).

• Partner with Customer Education to ensure curriculum and assessment quality meets OpenAI’s rigor.

• Synthesize structured partner insights and influence product decisions and program evolution.

Define KPIs and champion insights

• Establish clear partner and launch metrics (activation, engagement, completion, pass rates).

• Build and maintain transparent reporting for internal stakeholders.

• Turn partner data and feedback into actionable recommendations that shape the certification strategy and OpenAI’s broader learning ecosystem.

Scale the ecosystem

• Contribute to the partner strategy for distribution—employers, platforms, training providers, and ecosystem integrators.

Identify new partnership opportunities that accelerate adoption and expand the reach of OpenAI certifications.

You may be a good fit if you:

• Have deep experience owning strategic partnerships or complex enterprise programs end-to-end.

• Thrive in ambiguous, fast-moving environments and can independently establish structure, clarity, and momentum.

• Influence senior stakeholders with ease and drive alignment across multiple organizations.

• Operate with strong product intuition and can translate partner needs into concrete requirements for Product and Engineering.

• Communicate with exceptional clarity and can navigate technical and non-technical environments confidently.

• Build processes that scale while staying lightweight and focused on impact.

• Care about responsible AI education and building certifications that are defensible and effective.

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Microsoft AI are looking for a talented Principal Product Manager at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI experiences. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Principal Product Manager for Vertical Knowledge Agents, you will define and drive the strategy for how our vertical domains evolve into intelligent, agentic ecosystems. You'll work across AI, data, and UX disciplines to design agentic systems that connect structured data and AI-generated insights into cohesive experiences that appear in Copilot, Windows Feed, Bing, and M365 surfaces. In this role, you'll collaborate with AI researchers, designers, and engineers to advance the agentic pipeline and develop Copilot-curated stories and autonomous domain-aware agents. You'll help shape the future of AI experiences by integrating advanced language models with authoritative content, influencing key product surfaces like Copilot, MSN, and Bing.

Accountabilities

• Define and drive the vision for Vertical Knowledge Agents that unify structured data, licensed MSN content, and AI grounding to deliver authoritative and contextual insights in Copilot, MSN, and Bing.
• Influence end-to-end product direction, from agent architecture and ranking frameworks to multimodal UX experiences.

The Candidate we're looking for

Experience:

• 8+ years experience in product/service/program management or software development.

Technical skills:

• Proven success in building data-driven or AI-powered products at scale.
• Demonstrated ability to translate complex AI/ML capabilities into intuitive user experiences.
• Technical fluency with LLM-based evaluation loops and Responsible AI practices.

Personal attributes:

• Deep passion for responsible and trustworthy AI.
• Understands model behavior, grounding, and feedback loops; collaborates effectively with AI research and data science.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Flexible hybrid options in Redmond, WA.
• Opportunities for professional development and growth within the company.

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Microsoft are looking for a talented Member of Technical Staff, Applied Scientist at their Mountain View office. This role sits at the heart of designing and building advanced Copilot features such as Deep Research and Web artifact generation. You'll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.

About the Role

This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You'll lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals. You'll also design scalable systems that leverage LLMs to deliver intelligent, user-facing experiences. Additionally, you'll develop evaluation frameworks and metrics to assess feature performance and user impact, conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination, and build data collection pipelines to support prompt engineering and fine-tuning of LLMs.

Accountabilities

• Architect and implement advanced Copilot features such as Deep Research and Web artifact generation
• Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals

The Candidate we're looking for

Experience:

• 4+ years related experience (e.g., statistics predictive analytics, research)

Technical skills:

• Experience prompting, evaluating, and working with large language models
• Experience writing production-quality Python code

Personal attributes:

• Proactive collaborator who communicates clearly
• Thrives in fast-paced environments
• Takes ownership of delivering world-class consumer experiences

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

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Microsoft are looking for a talented Member of Technical Staff - Software Engineer & Machine Learning at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

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

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

Personal attributes:

• Demonstrated interest in Responsible AI.

Benefits

• Competitive salary range of USD $119,800 – $234,700 per year.
• Benefits and other compensation.
• Opportunities for professional development and growth.

XML job scraping automation by YubHub

Microsoft are looking for a talented Machine Learning Software Engineer at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

Personal attributes:

• Demonstrated interest in Responsible AI.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Benefits and other compensation.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.
• Recognition and rewards for outstanding performance.

XML job scraping automation by YubHub

Microsoft are looking for a talented Member of Technical Staff - Software Engineer & Machine Learning at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

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

Technical skills:

• Strong hands-on skills in machine learning, data platforms, and distributed systems.

Personal attributes:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

Benefits

• Competitive salary range of $119,800 - $234,700 per year.
• Benefits and other compensation.
• Opportunities for professional development and growth.

XML job scraping automation by YubHub

Microsoft are looking for a talented Machine Learning Software Engineer at their New York office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising artificial intelligence technology. You'll work directly with leadership to shape the company's direction in the technology and simulation markets.

About the Role

As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Demonstrated interest in Responsible AI.

Personal attributes:

• Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Benefits and other compensation.
• Opportunities for professional development and growth within the company.

XML job scraping automation by YubHub

Microsoft are looking for a talented Member of Technical Staff - Software Engineer & Machine Learning at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff - Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations, developing AI based insights on large scale multi modal Copilot data part of the Microsoft AI (MAI) organization.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

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

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.

Personal attributes:

• Demonstrated interest in Responsible AI.

Benefits

• Competitive salary range of USD $119,800 – $234,700 per year.
• Benefits and other compensation.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

XML job scraping automation by YubHub

Microsoft are looking for a talented Machine Learning Software Engineer at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff – Software Engineer & Machine Learning, you will work building AI Insights, a Copilot analytics product that enables our internal stakeholders to move from “What happened?” to “Why did it happen?” in minutes. You’ll design and implement AI-driven trend detection, cohort analysis, and drill-down workflows that connect metrics to real user conversations.

Accountabilities

• Build scalable data pipelines for telemetry ingestion, anomaly detection, and cohort segmentation.
• Implement ML-driven insights (prompted classifiers, anomaly detection) and integrate them into dashboards and APIs.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Technical skills:

• Proven experience leading small engineering and machine learning teams, and collaborating effectively with cross-functional stakeholders including product managers, UX designers, and security specialists.
• Demonstrated interest in Responsible AI.

Personal attributes:

• Hands-on with observability (metrics, tracing, logs) and model evaluation frameworks.

Benefits

• Competitive salary range of USD $139,900 – $274,800 per year.
• Certain roles may be eligible for benefits and other compensation.
• Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

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