Anthropic Limited
Head of Product Engineering
Anthropic Limited, San Francisco, California, United States, 94199
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.
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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.
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