In this role, you will have a minimum of 12 years of SAP integration experience, including SAP Integration Suite and middleware platforms. You will have proven experience developing AI-powered applications using SAP BTP services and customized scripts. You will have deep SAP knowledge related to integration processes, ABAP development, and OData services. You will also have hands-on experience with SAP Event Mesh and SAP Cloud Connector, and a strong understanding of Custom CDS Views and their role in integration and analytics. Additionally, you will have experience designing scalable, API-driven architectures, and a strong understanding of API security (OAuth2). You will have an open mindset and adaptability to emerging technologies, including AI and automation, and excellent communication skills and the ability to build strong client relationships.

Nice-to-haves include experience in the automotive industry, knowledge of hybrid cloud integration patterns, familiarity with SAP AI Core, SAP AI Launchpad, and generative AI SDKs, contributions to open-source AI or integration projects, and exposure to other industries (manufacturing, retail, finance).

The role offers a start date by arrangement, with working hours of 40 hours per week, 27 vacation days, and an unlimited employment contract. The line of work is consulting, and language skills required include fluency in written and spoken English. Flexibility and willingness to travel are also essential, as is a valid work permit. Knowledge of AI ethics and governance frameworks is also desirable.

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You will lead the GRC function at Scale, including compliance governance, compliance advisory, risk management, and regulatory compliance. You will manage and develop a team of compliance professionals spanning governance, assurance, and GRC engineering to build scalable systems and processes.

Key responsibilities include:

• Owning and maturing Scale's Enterprise Risk Management (ERM) program, including risk identification, assessment, mitigation, and reporting.
• Partnering with Legal, Security, Product, Engineering, and Operations, among other teams, to help guide Scale's growth in a highly scrutinized space.
• Owning or contributing to Scale's AI governance strategy, including monitoring and operationalizing emerging AI regulations (EU AI Act, NIST AI RMF, state AI laws).
• Helping set and drive vision for how GRC can not only help protect Scale, but serve as a differentiator and competitive advantage.
• Representing the team with internal and external stakeholders (partners, regulators, etc.).

Ideally, you'd have:

• 10+ years of progressive experience in GRC, compliance, or related legal/regulatory roles, with demonstrated success building or scaling compliance programs.
• Demonstrated success in building and leading high-quality compliance programs and teams.
• Experience designing and operating an Enterprise Risk Management program.
• Deep knowledge of applicable regulatory frameworks, including SOC 2, ISO 27001, FedRAMP, GDPR, and CPRA.
• Experience with U.S. Government contract compliance requirements (FAR, DFARS, NIST 800-171, CMMC).
• Proven track record of designing and maturing governance and internal control environments to support IPO readiness.
• Excellent communicator with the ability to break down complex requirements into easy-to-understand and practical systems.
• Thrive in fast-paced, high-growth environments with ambiguity and competing priorities.
• Love collaborating with talented professionals across many disciplines,product, design, security, engineering, marketing, and more.

Nice to haves:

• Experience with AI governance frameworks and emerging AI regulatory requirements.
• Experience building a compliance team that helped take a company public.
• Deep knowledge of DoD-specific compliance requirements and security frameworks.

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Responsibilities:

• Lead Strategic ML/AI Platform Programs: Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform.
• Operate with an AI-First Execution Mindset: Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows, and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
• Prototype AI-Augmented Tools & Workflows: Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction, including dashboards, data analysis, process helpers, and internal tooling.
• Apply Safety-by-Design AI Governance: Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
• Drive Complex Technical Decisions Across Teams: Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions.
• Translate Strategy into Execution: Convert strategic platform priorities into structured, milestone-driven execution plans, operating at both breadth (big picture vision) and depth (driving granular details with engineering teams).
• Shape Planning & Influence Roadmaps: Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles, influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
• Build Scalable Processes & Best Practices: Define, institutionalize, and continuously improve program management processes, frameworks, and tooling, elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
• Drive Cross-Functional Alignment & Communication: Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal, ensuring stakeholders at all levels have timely, accurate visibility into priorities, status, risks, and decisions.
• Own Program Outcomes End-to-End: Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through.

Requirements:

• Experienced Technical Program Manager: 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent.
• AI-First Execution Mindset: Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication.
• Workflow Design & AI Fluency: Experience turning repeatable program work into durable, low-toil mechanisms, including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
• Safety-by-Design AI Governance: Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability.
• ML/AI & Systems Domain Knowledge: Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles.
• Strategic Vision & Entrepreneurial Leadership: Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs.
• Executive Influence & Thought Leadership: Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions.
• Analytical Problem-Solving & Risk Mitigation: Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
• Operational Excellence at Scale: Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility.
• Exceptional Communication & Collaboration: Outstanding written, verbal, and interpersonal communication skills, able to distill nuanced, technical concepts for diverse audiences.

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In this position, you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. There is also an on-call responsibility across the Policy and Enforcement teams.

Responsibilities:

Own the end-to-end enforcement strategy against unauthorized frontier model abuse , from detection signal development through enforcement action and post-enforcement measurement

Operationalize detection and review pipelines , translating leads from case investigations and detection outputs into structured review workflows that scale across surfaces

Drive enforcement actions for high-priority actors , synthesizing signals from across intelligence, detection, and review into enforcement packages suitable for formal escalation

Partner with Legal and Policy to assess case strength, characterize ToS and IP violations, and support enforcement escalations through formal channels

Close the loop between enforcement outcomes and upstream improvements , channeling review results and enforcement findings back to policy updates and detection refinements

Develop and maintain a dynamic enforcement framework that accounts for the complexity of cross-surface enforcement , including varied escalation paths, partner coordination, and enforcement consistency across surfaces

Collaborate with Threat Intelligence, Research, Engineering, and Policy partners to ensure detection coverage keeps pace with evolving frontier abuse tactics

Maintain rigorous documentation of enforcement decisions, pipeline logic, and precedents to build institutional knowledge

Qualifications:

Required

5+ years of experience in trust & safety, abuse enforcement, fraud investigation, policy, or a related field , with demonstrated ownership of complex, high-stakes enforcement programs

Track record of building detection and enforcement approaches for novel or emerging abuse vectors where established playbooks don't exist

Experience supporting or directly contributing to formal enforcement actions , including case documentation, evidence packaging, and escalation coordination

Strong data analysis skills , comfortable navigating complex, multi-table datasets to surface behavioral patterns and support investigations

Experience conducting structured investigations, including open-source intelligence techniques and cross-referencing external data sources to attribute activity

Demonstrated ability to translate ambiguous policy questions into defensible enforcement decisions and clear written findings

Strong written and verbal communication skills , able to present complex enforcement cases clearly to stakeholders across Legal, Policy, and Engineering

Preferred

Familiarity with the AI/ML ecosystem , including how model distillation, fine-tuning, and synthetic data generation work in practice, and how actors attempt to obscure this activity

Experience conducting threat actor profiling or open-source investigations in a trust & safety, intelligence, or legal context

Experience working with generative AI products, including using AI tools to accelerate investigative and analytical workflows

Background or interest in AI policy, IP enforcement, competitive intelligence, or AI governance

Experience coordinating with external enforcement partners or platform partners on escalated enforcement actions

Education: At least a Bachelor's degree in a relevant field, or equivalent experience.

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $230,000-$270,000 USD

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About the role: CoreWeave is seeking an experienced Associate General Counsel to support a broad portfolio of regulatory matters across energy, international trade, and emerging AI frameworks. In this role, you will work closely with cross-functional stakeholders to translate complex regulatory requirements into actionable guidance that supports business objectives. The day-to-day includes advising on regulatory risk, supporting product and infrastructure initiatives, and responding to evolving legal requirements in a rapidly scaling environment. You will also play a key role in shaping compliance programs and helping the company stay ahead of regulatory change.

In this Role You Will:

• Provide legal advice on a wide range of regulatory matters, including energy regulation, international trade compliance, and AI governance frameworks.
• Monitor, interpret, and advise on U.S. and international laws impacting operations, including export controls, sanctions, energy market requirements, and emerging AI regulations.
• Partner with business teams (e.g., GTM, Security, IT, EHS, and operations) to assess regulatory risk and develop practical, scalable compliance strategies.
• Support product, infrastructure, and commercial initiatives by embedding regulatory guidance into business decision-making.
• Lead responses to regulatory inquiries, audits, and investigations, and manage relationships with external counsel and regulators.
• Develop and maintain internal policies, procedures, and training programs to ensure compliance with applicable laws and regulations.
• Track and assess emerging regulatory trends across energy, global trade, and AI to proactively inform business strategy.

Who You Are:

• 7+ years of relevant legal experience, preferably with a mix of law firm and in-house experience.
• Demonstrated experience advising on energy regulation, international trade (including export controls and sanctions), and/or technology or AI regulatory frameworks.
• Experience interpreting and applying U.S. regulatory regimes (e.g., OFAC, BIS) and/or international regulatory frameworks.
• Proven experience supporting compliance programs, including drafting policies, procedures, and training materials.
• Experience leading or supporting regulatory inquiries, audits, or investigations.
• Ability to translate complex regulatory requirements into clear, actionable guidance for business stakeholders.
• Experience working cross-functionally with technical, operational, or go-to-market teams.
• Strong judgment, communication skills, and ability to operate effectively in a fast-paced environment.
• Proven ability to manage multiple priorities and work cross-functionally with diverse teams.
• J.D. from an accredited law school and active membership in at least one U.S. state bar (NY, NJ, CA, DC, or WA preferred).

Preferred:

• Experience advising high-growth or technology-driven companies.
• Experience with data center, infrastructure, or energy procurement matters.
• Familiarity with emerging AI regulatory frameworks (e.g., EU AI Act, U.S. federal and state initiatives).
• Familiarity with global regulatory bodies (e.g., EU Commission) and standards organizations.
• Experience supporting global operations and cross-border regulatory or commercial matters.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You enjoy turning complex regulatory challenges into clear, actionable guidance.
• You’re curious about how AI, infrastructure, and global regulation intersect.
• You bring strong expertise in regulatory risk and compliance program development.

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

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

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Based in Washington, D.C., you will be the architect of Pinterest's public policy strategy across multiple jurisdictions. You will build and steward the relationships, coalitions, and campaigns necessary to educate policymakers about Pinterest's unique platform, advocate for sound policy outcomes, and ensure the company is recognised as a trusted and responsible technology leader.

The ideal candidate brings broad and deep experience navigating public policy issues pertaining to technology, internet platforms, and digital innovation. The role is ideally suited for a proactive, results-oriented leader who thrives in a fast-paced environment, and is equally comfortable diving into the substance of complex policy challenges, and building the strategic relationships needed to advance Pinterest's policy priorities and protect the company's interests.

Above all, you bring the conviction that thoughtful policy engagement can help build a better, more positive internet.

As the Head of Government Affairs, you will:

• Lead our public policy efforts and advocacy in North America. You will develop and execute our government affairs strategy at the country, state, and local levels and to address the impact of proposals on Pinterest’s products, operations, growth, and strategic initiatives.

• Build trusted relationships with policymakers, issue experts, trade associations, and industry partners to mobilise support on key issues that impact Pinterest’s ability to achieve its mission and support our users.

• Navigate a wide range of technology policy areas, including data privacy, AI governance, content moderation, online safety, children's digital wellbeing, competition/antitrust, intellectual property, and digital advertising.

• Advise colleagues, as well as senior management and cross-functional leaders, about relevant legislative issues and strategies to inform policy development and deliver effective solutions and valuable outcomes.

• Proactively collaborate with external constituencies on a range of issues that matter to Pinterest to ensure our team is thoughtfully engaging on various challenges that could impact our ability to serve Pinners.

• Drive cross functional alignment by partnering with colleagues across Legal, Communications, Trust & Safety, Product, and other teams on integrated advocacy campaigns, strategic positioning, and external engagement that aligns with company objectives across priority jurisdictions.

• Deploy an AI-enabled policy function to track legislative and regulatory developments, map stakeholders, and generate engagement strategies and policy positioning to disseminate actionable recommendations across the organisation.

• Maintain a knowledge base leveraging AI-driven tagging and retrieval mechanisms to ensure consistent, high-quality advocacy materials and to facilitate the development of tailored messaging for various stakeholders.

What we’re looking for:

• 12+ years of progressive experience in government affairs, public policy, or legislative/regulatory roles, with significant focus on the technology sector.

• Comprehensive knowledge of internet platform policy, digital innovation, and the regulatory frameworks shaping the tech industry.

• Excellent communication and public speaking skills and a compelling storyteller who can distill complex technical and policy concepts for diverse audiences, from Capitol Hill to the C-Suite.

• Exceptional strategic acumen with the ability to see around corners, anticipate policy shifts, and develop proactive strategies that protect and advance business interests.

• A strong track record of developing and leading execution of public policy campaigns to address public policy challenges and achieve high-level objectives.

• The ability to work independently and develop and maintain relationships across the company, while working remotely from Washington, DC.

• Demonstrated capacity to operationalise AI tools for policy intelligence, drafting workflows, stakeholder mapping, and issue management.

• You thrive in an environment with changing needs and variability across work and issues week to week.

• Bachelor’s degree in a relevant field such as political science, government or equivalent experience. JD, MPP/MPA also welcome, but not required.

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The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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You will lead or contribute to proposals and engagements focused on IT and AI Operating Model strategy and design, including the definition of roles, decision rights, governance, service accountability, and performance metrics, with a strong focus on transitioning towards AI-enabled and agent-supported operating environments.

You will lead project teams to deliver current-state assessments, target operating model (TOM) design, and implementation of ITSM and SIAM governance, principles, and operating processes, ensuring effective integration into existing service delivery environments.

Key Responsibilities & Capabilities

• Provide expert advisory support to organisations seeking to optimise IT service delivery and digital operations
• Design and implement Target Operating Models (TOMs) aligned to AI, Cloud, Cyber and Service Management strategies
• Advise and guide the design and implementation of Service Integration & Management (SIAM) models in multi-vendor and delivery function environments
• Support organisations moving towards AI-enabled operations, ensuring AI governance aligns with enterprise-wide controls and risk frameworks
• Analyse current IT organisational design, operating models, and ITSM processes to identify improvement opportunities
• Develop practical, execution-ready transformation roadmaps
• Contribute to and lead the development of consulting offerings and thought leadership
• Govern and manage the execution of operating model and service management transformations
• Establish performance metrics and success measures to drive continuous improvement
• Work confidently across Agile, product-centric, and traditional SDLC delivery models
• Lead senior client conversations and articulate the value of IT and Digital Operations to the business
• Experience working with ITSM tools and platforms (e.g. ServiceNow) and advising on tool selection

Requirements

• Bachelor’s degree from an accredited university
• ITSM certification (e.g. ITIL) or equivalent practical experience
• 8 - 15+ years’ experience (grade dependent) in Operating Model Design, SIAM, ITSM Strategy, or CIO Advisory roles within leading consulting firms or large-scale enterprises
• Demonstrated experience designing and implementing Operating Models and/or Service Management frameworks
• Strong stakeholder management and executive-level communication skills
• Proven leadership experience managing high-performing, multidisciplinary teams

Benefits

Join our growing Digital Operations & Service Integration practice within Technology Transformation Consulting and help shape how organisations run technology in the age of AI.

Our team focuses on Operating Model Design (TOM), Service Integration & Management (SIAM), and AI-enabled IT Operations. We work with CIOs and senior technology leaders to redesign digital operating models, integrate complex multi-vendor ecosystems, and enable scalable AI, cloud, and cyber capabilities.

We operate at the intersection of strategy and execution - defining decision rights, governance structures, service accountability, and performance models that allow technology organisations to move from fragmented operations to resilient, AI-ready enterprises.

As part of this team, you will contribute to high-impact transformations across EMEA, including AI rollouts, cloud operating model redesign, M&A integration and service separation, and modern SIAM implementations. You will collaborate with multidisciplinary experts across consulting and technology to deliver pragmatic, measurable outcomes.

This is a team that values structured thinking, intellectual curiosity, and execution excellence. We offer the opportunity to shape market-leading offerings in one of the fastest-evolving areas of CIO advisory.

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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.

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As a Senior Professional (all genders) – KI- & Agentenstrategie, you will be responsible for developing and implementing artificial intelligence (AI) and agent-based strategies within the company. You will work closely with various departments to identify and prioritise relevant use cases, develop and integrate scalable AI-agent solutions, and evaluate new technologies.

Key Responsibilities

• Develop and steer the internal AI- and agent-based strategy, including conceiving and continuously optimising the company's strategy for AI and agent-based systems, identifying and prioritising new use cases, defining goals and planning measures, and coordinating closely with departments
• Build and scale AI-agents, including initiating, developing, and integrating scalable AI-agent solutions, evaluating new technologies, and steering the implementation process until production readiness, handover to operation, and continuous further development
• Monitor and evaluate market and competitive trends in the field of AI and AI-agents, assess new tools and frameworks, and derive strategic recommendations for the roadmap and portfolio
• Implement new AI-functionalities in the Microsoft ecosystem, including introducing and integrating new AI-functionalities (particularly in the Microsoft environment, e.g. M365 Copilot/Copilot Studio, Azure OpenAI, Power Platform, Azure Cognitive Search/Vector Stores, PromptFlow), planning rollouts, enabling, and continuously optimising
• Manage AI-projects, including steering, team and service provider coordination, budget, deadline, and goal control, as well as ensuring quality, acceptance, and operation
• Ensure governance, data protection, and compliance, including establishing guardrails, risk assessment, and documentation in accordance with common standards (e.g. EU AI Act), including monitoring and evaluation (prompt/agent evaluation, observability)

Requirements

• A Master's degree in (business) informatics, data science, engineering, or a comparable field
• 3-5+ years of professional experience in IT project management or technology-related roles, preferably with a focus on introducing, evaluating, or enabling AI-based solutions
• Excellent knowledge of the Microsoft ecosystem, particularly in services such as Azure OpenAI, Power Platform, M365 Copilot/Copilot Studio, and a basic understanding of agent-based frameworks (e.g. LangChain, LangGraph, AutoGen), RAG concepts, and vector stores
• A solid understanding of AI governance, data protection, and IT security, as well as practical experience in evaluating and monitoring AI systems (e.g. prompt and agent evaluation, observability)
• Strong problem-solving and product-oriented skills, as well as a high level of self-responsibility, structure, and reliability
• An open, team-oriented working style combined with a pragmatic hands-on mentality
• Excellent communication and presentation skills in German and English, both in a technical context and when addressing business stakeholders, as well as the ability to clearly and address-specifically convey complex relationships

Benefits

• Comprehensive and flexible pension and insurance options
• Flexible working models, including mobile work, flexible working hours, or sabbaticals
• Support for work-life balance, including childcare, holiday programs, parent networks, and a family service
• A range of health promotion measures, including check-ups, vaccinations, ergonomic advice, digital tools, and comprehensive support from the company's health management
• Attractive conditions for purchasing and leasing vehicles, including exclusive toll-free leasing for long-term employees, as well as discounts on vehicles from Porsche, Volkswagen, Audi, and Ducati
• A diverse and subsidised catering offer with fresh, seasonal, and regional food, modern cafeterias, and sustainable take-out options
• Support for sustainable mobility, including discounted Germany tickets, bicycle leasing, and comprehensive charging infrastructure for electric vehicles at the locations
• Discounts on corporate benefits, employee discounts on Porsche lifestyle products and services, such as package stations
• A fair and performance-oriented salary, including voluntary special payments, Christmas and holiday bonuses, and special premiums for service anniversaries

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You'll lead Anthropic's market entry and expansion in the Indian public sector, establishing our presence and building relationships with key stakeholders across central and state government departments, ministries, and agencies. You'll own the full sales cycle for Indian public sector opportunities, from initial outreach through to successful deployment, with a focus on building long-term strategic partnerships.

You'll navigate the unique procurement requirements, security standards, and compliance frameworks specific to Indian government technology adoption, including GeM (Government e-Marketplace) and other procurement channels. You'll collaborate with policy teams to ensure alignment with Indian government AI strategies, the IndiaAI Mission, and Digital India initiatives.

You'll engage actively with government-led AI initiatives, including participation in forums like the India AI Impact Summit and state-level AI conferences. You'll design and execute innovative sales strategies tailored to the Indian public sector environment, meeting and exceeding revenue targets while maintaining strong relationships with procurement teams and decision-makers.

You'll provide market intelligence and feedback to product teams to ensure our offerings meet Indian public sector requirements, use cases, and regulatory considerations. You'll build and maintain relationships with relevant systems integrators (including TCS, Infosys, Wipro), technology partners, and government digital transformation partners in the Indian market.

You'll develop and document best practices for Indian public sector engagement, creating playbooks that can scale our presence in the market. You'll serve as a leader within the broader public sector team, sharing insights and collaborating on cross-market opportunities.

You may be a good fit if you have:

• 12+ years of enterprise sales experience in the Indian public sector, with a proven track record of driving adoption of emerging technologies across central and state government departments

• Deep understanding of Indian government procurement processes (including GeM, tender processes), security requirements, and technology adoption frameworks

• Experience navigating India's regulatory environment, including data localization requirements, IT Act compliance, and emerging AI governance frameworks

• Demonstrated ability to build and grow new market segments, with potential to develop into a leadership role as our India operations scale

• Strong track record of managing complex sales cycles and securing strategic deals in the public sector, with experience in both central and state government engagements

• Experience navigating multiple stakeholders across government departments and ministries, building consensus and providing innovative solutions

• Excellent communication skills and ability to present confidently to all levels, from technical teams to senior government officials and secretaries

• Strategic thinking combined with hands-on execution capabilities

• Ability to work independently while maintaining strong collaboration with global teams

• Comfort operating in a dynamic, high-growth environment with evolving regulatory frameworks

• A passion for safe and ethical AI development, with the ability to articulate its importance in the public sector context, particularly for inclusive development and governance transformation

• Fluency in English required; proficiency in Hindi or other regional languages is a plus

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San Francisco

Employment Type

Full time

Department

Safety Systems

Compensation

• Estimated Base Salary $207K – $295K • Offers Equity

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

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

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

• 401(k) retirement plan with employer match

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

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

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

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

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

• Relocation support for eligible employees

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

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

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

About the Team

The Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.

The Model Policy team aligns model behavior with desired human values and norms. We co-design policy _with_ models and _for_ models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.

About the Role

Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research?

This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused.

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

In this role, you’ll:

• Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios.
• Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safety monitoring systems.
• Translate biosecurity and chemical security expertise into actionable model behavior, working closely with research and engineering teams to operationalize policy in training and evaluation pipelines.
• Develop a broad range of subject matter expertise while maintaining agility across topics.
• Identify emerging risk vectors where frontier AI capabilities could meaningfully lower barriers to harmful activity and develop mitigation strategies.
• Engage with internal and external subject-matter experts in biosecurity, biodefense, and chemical safety to ensure policies reflect real-world risk landscapes.

You might thrive in this role if you:

• Have strong domain expertise in chemistry, biology, biosecurity, or related fields and are motivated to translate that expertise into principled, operational policies that scale to frontier AI systems.
• Have experience researching or working with LLMs, machine learning, AI governance, technology policy, or related areas, and enjoy tackling structured reasoning and classification problems—such as defining boundaries between legitimate scientific inquiry and potentially harmful applications.
• Have experience designing, refining, or enforcing policies or safeguards for complex systems, whether in AI/ML environments, scientific research governance, national security contexts, or other high-stakes technical domains.
• Are comfortable navigating ambiguous, high-stakes problem spaces, balancing risk reduction with the benefits of scientific openness and innovation.
• Enjoy building new frameworks from first principles, reasoning about open-ended problems, and generating novel approaches under uncertainty. You take ownership of problems end-to-end—from defining the conceptual framework through collaborating with research and engineering teams

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At OpenAI, our User Operations team safeguards our products and users from legal risk, regulatory non-compliance, fraud, and abuse. The team operates at the intersection of operations, compliance, and user trust, embedded within the broader User Operations organization and collaborating cross-functionally with Legal, Policy, Engineering, Product, and external vendors.

We support a global and diverse user base across OpenAI’s suite of products ChatGPT, SORA, API, Enterprise offerings, and developer tools by managing sensitive inbound tickets, regulatory obligations, and fraud-related escalations. Every user-facing action is grounded in our commitment to legal integrity, ethical practice, and regulatory excellence.

About the Role

We are seeking a sharp, adaptive, and operations-minded Regulatory Operations Analyst to help scale and evolve OpenAI’s global compliance support infrastructure.

In this role, you will own high-sensitivity workflows involving complex global regulatory escalations, trust and safety matters, privacy rights requests, and intellectual property matters. You’ll serve as both a frontline operator and strategic partner, triaging and resolving complex cases while also shaping the systems, documentation, and processes that support OpenAI’s regulatory and compliance goals. You will contribute as a subject-matter expert (SME) on high-stakes escalations, partnering with cross-functional stakeholders to drive fast, defensible outcomes. You will also help design the processes, tooling, and automation that power safe operations at scale.

This role is essential to building scalable, high-integrity operations that protect user rights, meet our obligations under emerging and current regulations, and reduce OpenAI’s risk exposure. You’ll also contribute to multi-phase transitions and automation efforts that support our long-term operational model.

We use a hybrid work model of 3 days in the office per week in our Dublin office.

_Please note: This role may involve exposure to sensitive or concerning content, including complaints involving harassment, fraud, or regulatory violations. Strong personal discretion, empathy, and resilience are essential._

In This Role, You Will:

• Handle and resolve complex user issues involving:

• Trust & Safety incidents

• Regulatory, audit, or compliance inquiries and complaints

• Intellectual property matters (e.g., copyright takedowns, ownership disputes)

• AI governance and regulatory frameworks (e.g., EU AI Act, DSA/OSA)
• Perform risk evaluations and investigations using internal tools, documentation, and third-party data

• Act as incident manager for highly sensitive reviews requiring nuanced interpretation of legal and regulatory standards

• Interface directly with Legal, Privacy, Product, and Support teams to coordinate escalations and resolution paths

• Partner with Legal, Privacy, Policy, and Ops to implement world-class operational workflows for compliance and risk

• Build and maintain tooling, escalation decision trees, playbooks, and knowledge articles

• Contribute to vendor training and governance models, especially during transitions and ramp-up phases

• Lead or participate in cross-functional initiatives that strengthen our regulatory, fraud, and legal infrastructure

• Monitor operational health via case quality audits, SLA tracking, escalation accuracy, and data

You Might Thrive in This Role If You:

• Have 5+ years of experience in legal operations, regulatory compliance, or trust & safety especially in a global or high-growth tech environment

• Have partnered with in-house counsel, DPOs, or external regulators on audits or escalations

• Understand tiered support structures and have worked with vendor operations at scale

• Bring a structured, systems-first mindset to operational governance and risk evaluation

• Communicate clearly, empathetically, and effectively especially in writing responses to sensitive issues

• Operate well in ambiguity and can manage multiple priorities simultaneously with speed and precision

Thrive in high-autonomy environments and hold a high bar for ownership and integrity

About OpenAI

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

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Microsoft AI are looking for a talented Technical Program Manager to help bring their vision to life. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI frontier models. You'll work directly with leadership to shape the company's direction in the AI and society markets.

About the Role

As a Technical Program Manager, you will establish and operationalize AI safety, governance, and responsibility practices across the model lifecycle. You will work directly with world-leading researchers to identify risks, set responsible AI standards, and ensure that appropriate mitigations are in place before their models are released. You will collaborate with fast-paced model development teams to identify risks, develop policies and evaluations, and ensure appropriate mitigations are in place prior to deployment.

Accountabilities

• Collaborate with fast-paced model development teams to identify risks, develop policies and evaluations, and ensure appropriate mitigations are in place prior to deployment.
• Establish, improve, and operationalize foundation model governance processes, ensuring Microsoft Superintelligence addresses key risks and develops models that benefit people and society.

The Candidate we're looking for

Experience:

• Related bachelor's degree AND experience in AI policy, AI governance, or a related field OR equivalent experience.

Technical skills:

• Demonstrated experience identifying and addressing risks related to frontier AI through both technical and non-technical measures.

Personal attributes:

• Proven ability to collaborate with highly technical stakeholders, identify novel risks from technical specifications, and guide mitigation efforts.

Benefits

• Microsoft's mission is to empower every person and every organization on the planet to achieve more.
• As employees, they come together with a growth mindset, innovate to empower others, and collaborate to realize their shared goals.
• Each day, they build on their values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

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What you'll do

• Take a leadership role in developing, prototyping, and teaching novel red teaming techniques and trust and safety methodologies to enhance team capabilities
• Investigate and understand how adversarial attacks, such as prompt injections, data poisoning, or bias exploitation, could manifest in Epic’s products

What you need

• 5+ years of experience conducting investigations or red teaming in fields such as cybersecurity, AI ethics, trust and safety, or related areas
• Proven ability to develop multi-source, evidence-based findings and communicate them effectively to technical and non-technical stakeholders

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