The ideal candidate will have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users. They will also have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration.

Responsibilities:

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models

• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms

• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions

• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity

• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads

• Optimise inference cost and performance across providers,designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region

• Contribute to inference features that must work consistently across all platforms

• Analyse observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

Requirements:

• Significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users

• Experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration

• Strong interest in inference

• Thrive in cross-functional collaboration with both internal teams and external partners

• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems

• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work

• Pick up slack, even when it goes outside your job description

Preferred skills:

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings

• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers

• Hands-on experience with capacity management, cost optimisation, or resource planning at scale across heterogeneous environments

• Strong familiarity with LLM inference optimisation, batching, caching, and serving strategies

• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators

• Background designing and building CI/CD systems that automate deployment and validation across cloud environments

• Solid understanding of multi-region deployments, geographic routing, and global traffic management

• Proficiency in Python or Rust

Salary Range: $300,000-$485,000 USD

Experience Level: Staff

Employment Type: Full-time

Workplace Type: Hybrid

Category: Engineering

Industry: Technology

Required Skills:

• High-performance, large-scale distributed systems

• Cloud computing (AWS, GCP, Azure)

• Kubernetes

• Infrastructure as Code

• Container orchestration

• Inference

• Cross-functional collaboration

• Autonomy and self-driven

• Platform-agnostic tooling

• Capacity management

• Cost optimisation

• Resource planning

• LLM inference optimisation

• Machine learning infrastructure

• CI/CD systems

• Multi-region deployments

• Geographic routing

• Global traffic management

• Python

• Rust

Preferred Skills:

• Direct experience working with CSP partner teams

• Building platform-agnostic tooling

• Hands-on experience with capacity management

• Strong familiarity with LLM inference optimisation

• Experience with Machine learning infrastructure

• Background designing and building CI/CD systems

• Solid understanding of multi-region deployments

• Proficiency in Python or Rust

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Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational simplicity you provide, to ensure that they can focus their time on creating most value for their users.

The impact you will have:

• Make security a market differentiator that enables Databricks to succeed in enterprise and regulated industries.
• Help Databricks gain the trust of CSO teams of security sensitive customers and qualify the Lakehouse platform for all data classes in the customer organization.
• Build a vision for a best-in-class network and data security policy model that provides secure access to customer workloads and data while minimizing exposure to unauthorized access and risk of data loss.
• Partner with privacy, legal, and security teams to deliver anonymization, retention, and residency for regulated data and sensitive assets such as AI models.
• Deepen our understanding of evolving threats and corresponding technologies in data security. Use customer inputs to serve as an expert and propose new innovations or best practices from the industry.
• Partner with cloud providers and support confidential compute - Rationalize and refine the differences in customer experience and data security technologies across multiple clouds including Azure, AWS and Google Cloud.

What we look for:

• 7+ years of product management experience with enterprise B2B or SaaS products, with experience delivering successful customer-facing products/features.
• Domain expertise in data security, data privacy, and encryption
• An accomplished senior product manager who can define and deliver on success metrics, summarize customer inputs into actionable requirements, and crisply communicate product value propositions to customers and sales teams.
• Experience partnering with senior engineering leadership with an ability to deep-dive into complex technical concepts.
• Experience driving business results through influential leadership across multiple partner teams including engineering, sales, marketing, solution architects and customer success.
• Passion for designing products that simplify user experience of technically complex products.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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What we're all about.

Our DATA values—Determination, Ambition, Teamwork, Accountability—aren't just operating principles, they're our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier.

As VP, Partner Engineering, you will lead the technical vision, execution, and team required to scale partner-built and partner-delivered solutions across the world's most strategic technology and consulting landscapes.

Make Every Decision Count with Context

The opportunity.

Reporting to the SVP Global Alliances, the VP, Partner Engineering is the executive accountable for setting the Partner Engineering strategy to transform our partner ecosystem into a best-in-class technical delivery engine that expands consumption, accelerates CoSell and Channel revenue, and drives production deployments with repeatability and governance discipline.

This role will include:

• Developing, executing and leading the Partner Engineering strategy to deliver non-linear revenue growth via the Ecosystem
• Technical leadership of partner architecture
• Management of Partner Solution Architects as Player Coach i.e. Lead by example
• Execution of joint solution engineering with hyperscalers, industry ISV’s & GSIs
• Executive engagement and business impact through ecosystem consumption & marketplace ARR

What you'll be doing.

• Set the global Partner Engineering strategy and architecture standards aligned to cloud marketplaces, consumption incentives, and AI/data collaborations.
• Lead co-innovation blueprints and quick starts integrating our platform with the likes of Microsoft Azure, GCP, AWS, Databricks, Guidewire style decision systems, and GSI solution frameworks.
• Personally sponsor and govern the reference architecture, connector strategy, AI/data interop strategy, and workload optimization patterns for partner solutions.
• Create enterprise-grade integration frameworks and enforce architectural guardrails that accelerate deployment while minimizing partner/customer delivery risk.
• Partner with Product and R&D for cross function collaboration and alignment around roadmap and innovation
• Lead, mentor, and scale a global team of Partner Solution Architects focused on:

• Joint solution architecture
• Partner-led PoCs/PoVs
• Demo and sandbox platforms
• Deployment acceleration
• Technical certifications and readiness

• Build an elite Partner Architecture Centre of Excellence that rivals top ecosystem engineering orgs in the industry.
• Define clear role expectations, capability uplift plans, and partner field alignment models for PSAs.
• Establish performance-driven culture anchored in partner adoption velocity, PoV win rate, demo adoption, deployment acceleration, and marketplace ARR.
• Partner with Field Alliances, Field Engineering and RVP’s to enable and ensure Ecosystem attribution
• Own hyperscaler and ISV technical partnership co-innovation roadmaps, ensuring:

• Marketplace-ready joint solutions
• Consumption and integration patterns tied to incentives
• Field delivery kits for PSA + partner sellers
• Hardened reference designs for repeatable pursuits

• Drive GSI partnerships into factory-style delivery motions, launching industry solutions and field-ready plays with global systems integrators.
• Govern multi-party architecture risk, security, deployment patterns, rapid time-to-value, and executive sponsor checkpoints.
• Be the Evangelist for Ecosystem opportunities and own the hypothesis qualification for embedded or OEM, co-developed offerings and new pursuits
• Working closely with Product, define our ecosystem’s technical differentiation narrative—anchored in decision context, AI/data intelligence, workflows, and enterprise integration depth—against point solutions and platform incumbents.
• Ensure PSAs and partners can articulate why our platform wins architecturally, commercially, and operationally.

Requirements

What you'll bring.

• Proven executive leadership building partner engineering teams within enterprise software ecosystems
• Deep technical fluency in data platforms, AI/ML, analytics, cloud integration patterns, connectors, workflow systems and marketplace consumption architectures.
• Experience launching production-hardened joint solutions with hyperscalers and GSIs with measurable revenue and deployment outcomes.
• Ability to translate platform capability into partner-owned architectures that scale across customer estates.
• Practitioner’s mindset for governance of PoVs, partner certifications, deployment velocity, risk mitigation, and technical adoption KPIs
• Extensive experience in senior partner engineering, sales engineering or ecosystem technical leadership within large-scale enterprise software or SaaS companies.
• Excellent experience of managing architect/engineering-focused partner teams, PSAs, and global technical enablement functions.
• Demonstrated success driving multi-cloud partner consumption ARR, joint solution launches, and co-sell acceleration.
• Executive communication credibility with partner CTO/CIO/VP engineering stakeholders and hyperscaler/GSI technical leaders.
• Comfort operating across legal, sales, product, security, presales, and partner delivery functions.
• Willingness to travel globally (>40%).

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

Competitive salary Company bonus Flexible working hours in a hybrid workplace & free access to global WeWork locations & events Pension Scheme with a company contribution of 6% (if you contribute 3%) 25 days annual leave (with the option to buy up to 5 days) + birthday off! Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period Family: Enhanced Maternity, Paternity, Adoption, or Shared Parental Leave Health & Wellbeing: Private Healthcare, EAP, Well-being Days, Calm App, Gym Discounts Team's Social Budget & Company-wide Summer & Winter Parties Tech & Cycle-to-Work Schemes Volunteer Day off Dog-friendly Offices

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As a Principal Technical Program Manager on Copilot Identity, you'll work at the intersection of security, user experience, and platform scale, partnering with engineering, research, and product teams to turn complex identity challenges into paved roads for innovation.

Responsibilities:

• Lead and orchestrate identity improvement programs across multiple client surfaces (e.g., desktop, web, and mobile), aligning roadmaps and milestones with partner teams and the Microsoft central identity system.
• Partner with research, engineering, and product managers to scope initiatives, define success metrics, and plan phased delivery that reduces risk and accelerates customer value.
• Ensure data quality, availability, and compliance for identity-related telemetry and signals; work with stakeholders to meet all privacy, security, and compliance requirements for shipping features at scale.
• Drive execution excellence: define schedules, milestones, KPIs, and review cadences; track progress, manage dependencies, surface risks, and ensure on-time delivery.
• Communicate program status, insights, and blockers with leadership and stakeholders; clarify ownership, hold teams accountable, and cultivate durable cross-org partnerships.

Qualifications:

• Bachelor’s Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.
• 3+ years of hands-on experience with authentication and identity systems, including practical knowledge of protocols (e.g., OAuth 2.0, OpenID Connect, SAML), session management, MFA, federation, and directory services.
• Experience reading and/or writing code (e.g., sample documentation, product demos).
• Proven track record driving feature launches and large-scale rollouts in complex systems, ideally across multiple client surfaces (desktop, web, mobile).
• Experience defining long-term program vision and strategy for identity/security projects; proficiency with OKRs and KPI-driven execution.
• Excellent communication, collaboration, and influence skills; ability to crisply communicate technical concepts to diverse audiences.
• Ability to thrive in fast-paced, ambiguous environments while driving clarity, alignment, and results.
• Demonstrated experience collaborating with globally distributed teams.
• Ability to adapt communication and project management approaches to suit diverse cultural and working styles.
• Experience working with Microsoft’s central identity ecosystem and partner teams, or similar large-scale identity platforms.
• Familiarity with privacy-by-design principles and compliance requirements (e.g., GDPR, regional data regulations) for identity data.
• Understanding of risk-based authentication, device-bound credentials, passkeys/WebAuthn, and related identity innovations.

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Program Manager, Product Policy

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Product Policy

Compensation

• $261K – $335K • 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 Product Policy team is responsible for the development, implementation, enforcement, and communication of the policies that govern use of OpenAI’s services, including ChatGPT, GPTs, the GPT store, Sora, and the OpenAI API. As a member of this team, you will be instrumental in developing and operationalizing policy approaches to best enable both innovative and responsible use of AI so that our groundbreaking technologies are truly used to benefit all people.

About the Role

We are looking for a program manager to strengthen the operational backbone of the Product Policy team. This role focuses on making our core processes run smoothly and reliably—how we update policies, track progress, coordinate with ops, and manage the mechanics that enable the team to move quickly and responsibly. This person will own critical operational workflows and support priority initiatives.

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

In this role, you will:

• Own and improve Product Policy’s core operational processes (e.g., policy updates, cross-functional handoffs, tracking and reporting).

• Build and maintain systems to measure progress, surface risks, and ensure accountability across workstreams.

• Coordinate day-to-day execution with operations, integrity, safety, and legal partners.

• Support priority initiatives by organizing workplans, driving follow-ups, and keeping execution on track.

• Develop lightweight tools, templates, and documentation that make the team more efficient and predictable.

• Translate policy requirements into clear operational steps for partner teams.

What we’re looking for:

• Experience running operational programs or processes in cross-functional environments.

• Strong organizational skills and attention to detail, with an instinct for improving systems.

• Comfort working with policy, technical, and operational stakeholders.

• Ability to execute independently while escalating issues appropriately.

• Background in policy / trust and safety.

You might thrive in this role if you:

• Have worked 7+ years in product policy or similar roles.

• Possess excellent communication skills with demonstrated ability to communicate with product managers, engineers, researchers, and executives alike.

• Are comfortable with ambiguity and enjoy going 0 to 1.

• Are a creative thinker with an eye for opportunities to leverage data to inform policies.

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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