Head of Product Engineering

Posted 18 Days Ago
Be an Early Applicant
2 Locations
450K Annually
Expert/Leader
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
The Head of Product Engineering will lead and expand the engineering organization at Anthropic, ensuring the development of safe and ethical AI. Responsibilities include managing engineering teams, enhancing engineering practices, collaborating with cross-functional teams, and representing the engineering brand publicly.
Summary Generated by Built In
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

As the Head of Engineering at Anthropic, you will play a crucial role in shaping the future of our engineering organization and contributing to our mission of developing safe and ethical AI. Reporting directly to the CPO, you will lead a rapidly growing team with plans to continue to expand in size over the coming year. This role offers a unique opportunity to be at the forefront of AI development while balancing the challenges of maintaining high-velocity product delivery with our commitment to AI safety.

Responsibilities:

  • Recruit, manage, and develop senior engineering managers to oversee all product development initiatives
  • Collaborate with senior Individual Contributors (ICs) and Engineering Managers (EMs) to establish and refine excellent engineering practices, from hiring to execution and iteration
  • Serve as a public face for Anthropic's engineering brand, representing the company at industry events and in the tech community
  • Collaborate with our cloud partners, Amazon and Google, to ensure Anthropic models are performant and available
  • Oversee all of Anthropic's applications, APIs, and developer experiences
  • Work closely with product management leads to ensure alignment between engineering and product goals
  • Lead org-wide hiring efforts to support the team's growth while maintaining a high bar for talent
  • Implement performance management processes to support the team's development and address any challenges
  • Spearhead initiatives to adopt Claude to accelerate our own engineering team's productivity
  • Balance Anthropic's mission of building safe AI with the need to maintain a high velocity of shipping products
  • Contribute to the overall technical strategy of the company
  • Meaningfully invest in a culture of belonging, equity, and impact 

You may be a good fit if you have:

  • 9+ years of experience as an engineering leader, including experience as a VP or equivalent role, overseeing user-facing product engineering and platform/infrastructure engineering organizations
  • A proven track record of scaling and shaping large (100+) engineering organizations
  • The ability to operate at both a strategic level and dive into technical details when necessary
  • Experience managing and developing engineering directors, managers, and senior ICs
  • Strong technical acumen and the ability to guide architectural decisions
  • Excellent communication skills, a commitment to transparency, and the ability to be a public-facing representative for Anthropic's engineering efforts
  • A deep alignment with Anthropic's mission and a passion for ethical AI development
  • Experience working in fast-paced, high-growth environments
  • Proven investment in taking an inclusive, equitable approach to hiring and team-building 
  • Demonstrated success in managing relationships with cross-functional stakeholders, executives, and external partners 
  • The ability to balance long-term strategic thinking with day-to-day operational excellence

Strong candidates may have:

  • A background in building developer-facing products or APIs
  • Knowledge of best practices in AI safety and ethical AI development
  • Experience leading engineering teams in a research-heavy environment
  • A track record of successful public speaking or technical writing
  • Experience implementing engineering productivity tools and processes
  • A history of contributing to open-source projects or fostering open-source communities
  • Familiarity with the unique challenges of AI product development and deployment


Deadline to apply: 
None. Applications will be reviewed on a rolling basis. 

The expected salary range for this position is:

Annual Salary:

$485,000$560,000 USD

Logistics

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.

The Company
57 Employees
Remote Workplace

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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