Business Lead- Internal Technologies

About Anthropic

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

About the Role

You'll establish and lead the internal product management function at Anthropic, treating our core infrastructure—compute, networking, data infrastructure, internal security, inference, performance, capacity, and IT systems—as first-class products with real customers and measurable impact. This isn't traditional "keep the lights on" infrastructure work. You'll be building the leverage that allows our research teams to move faster, our developers to ship more reliably, and our organization to scale thoughtfully.

Your primary stakeholders span the organization: research teams pushing the frontiers of AI safety, research productivity teams enabling breakthrough discoveries, developers across products, pre-training, and reinforcement learning, and key business functions including the offices of the CFO and CRO. You'll translate their needs into infrastructure roadmaps, prioritize ruthlessly, and ensure our internal systems remain world-class as we grow.

Additionally, you may take on program management initiatives across the company, helping coordinate our most critical cross-functional efforts.

What You'll Do

Build infrastructure as a product discipline Establish product management practices for internal infrastructure, treating internal users with the same rigor as external customers. Define clear service-level objectives, gather systematic feedback, prioritize based on impact, and drive measurable improvements in developer productivity and research velocity.

Enable breakthrough research and product development Work backwards from the needs of researchers and engineers to identify infrastructure gaps that limit their effectiveness. Champion investments that provide 10x improvements in iteration speed, reliability, or capability—whether that's better compute orchestration, faster data pipelines, or more secure development environments.

Drive cross-functional alignment Serve as the connective tissue between infrastructure teams and their stakeholders. Translate complex technical constraints into business context for leadership, and business priorities into technical requirements for engineering teams. Build shared understanding across groups with different goals and timelines.

Own strategic planning and resource allocation Develop multi-year roadmaps for internal infrastructure that balance immediate needs with long-term architectural investments. Make difficult tradeoff decisions about where to build versus buy, when to optimize versus rebuild, and how to sequence work for maximum organizational impact.

Scale with intention As Anthropic grows, ensure our infrastructure scales not just in capacity but in usability and reliability. Build systems and processes that allow hundreds of engineers to move quickly without creating chaos. Anticipate future needs while solving today's problems.

Champion operational excellence Drive a culture of reliability and quality across infrastructure teams. Establish metrics that matter, implement blameless post-mortems, and ensure we learn systematically from both successes and failures. If something urgently needs to be done, step up—regardless of whose "job" it is.

You may be a good fit if you:

Experience

• 12+ years in a combination of product management, engineering management, technical program management, or related roles with progressive leadership responsibility

• 5+ years leading infrastructure, platform, or developer tools organizations

• Experience as a senior product leader or executive (Director+ level) with demonstrated ability to influence at the executive level

• Track record across multiple companies and contexts—you've seen different organizational models and can adapt approaches thoughtfully

• Experience in both early-stage (building 0 to 1 products) and growth-stage environments (scaling 1 to N systems)

Technical background

• Deep understanding of infrastructure systems: compute orchestration, networking, data pipelines, security, and performance optimization

• Ability to engage credibly with senior engineers and architects on technical tradeoffs

• Experience making build-vs-buy decisions for complex technical systems

• Familiarity with AI/ML infrastructure is valuable but not required—many of our best technical leaders have learned ML systems on the job

Demonstrated capabilities

• Built and scaled internal platform or infrastructure products that measurably improved organizational productivity

• Led cross-functional initiatives involving engineering, research, and business stakeholders with competing priorities

• Developed multi-year technical strategies that balanced innovation with operational stability

• Created product management functions or disciplines from scratch in growing organizations

What We're Looking For

Deep product thinking You've built products in multiple contexts—from 0 to 1 greenfield work and from 1 to N scaling mature systems. You know when to move fast and when to build for the long term. You understand that good infrastructure is invisible until it breaks, and you know how to make the right bets when perfect information isn't available.

Strategic perspective with execution focus You can zoom out to think about multi-year architectural decisions and zoom in to unblock a critical project today. You've worked backwards from bold visions to create concrete quarterly plans. You know how to balance innovation with operational stability.

Pioneer internal breakthroughs. You're energized by AI and push for rethinking every system inside the company to be AI-enabled and AI-driven. Requires rethinking traditional workflows in the company. 

Exceptional communication across contexts You write clearly and persuasively—able to craft strategy documents that get executive buy-in and technical specifications that engineers trust. You speak the language of researchers, engineers, and business leaders. You can explain complex technical tradeoffs to non-technical stakeholders and translate business constraints into engineering priorities.

Analytical rigor You make decisions based on data and first principles, not just intuition. You know which metrics matter and which are vanity metrics. You can build models to evaluate tradeoffs, run experiments to test hypotheses, and change your mind when evidence suggests you should.

Cross-functional excellence You've successfully driven consensus among groups with competing priorities. You build trust with technical teams through competence and with business teams through clarity. You know how to navigate organizational dynamics without creating politics. You assume good intentions even in disagreement and communicate kindly while being direct.

Breadth of experience You've worked in multiple companies and environments, giving you perspective on what works at different scales and in different cultures. You've seen both startups and larger organizations, understand the tradeoffs, and can apply lessons thoughtfully rather than dogmatically.

Mission alignment You're energized by the challenge of building infrastructure that enables breakthrough AI research and safety work. You understand that the stakes are high—that our infrastructure decisions affect not just our developers' productivity but ultimately the trajectory of transformative AI. You're willing to make bold choices when the long-term benefit to humanity requires it.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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

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

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

How we're different

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

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process