Engineering Manager, Finetuning Services

About The Role

We are seeking an experienced and highly technical Engineering Manager to lead our Finetuning Services engineering team, focused on external partnerships. The team's charter is to build APIs and scalable infrastructure to support the finetuning of Anthropic's world-class large language models. The team collaborates closely with experts in Anthropic's research organization, product leaders, and external partners to ensure we deliver industry-leading finetuning functionality. The team also works closely with Anthropic's systems and core infrastructure teams to define best practices and supporting systems for delivering this unique service.

Responsibilities

• Manage and grow a team of talented backend engineers, infrastructure engineers, and machine learning engineers to deliver on the Finetuning Service team charter and goals.
• Maintain deep, hands-on technical involvement in the project, to help you drive the technical roadmap and execution to ship and expand finetuning capabilities and support new LLMs. You should be comfortable operating in the codebase alongside the engineers on your team.
• Collaborate with product and research teams to define the finetuning feature set and API interfaces.
• Work closely with product management and external partners to design finetuning solutions that meet ever-evolving customer needs.
• Practice excellent communication and upward/outward management to establish high-functioning relationships with internal and external partners and keep your executive stakeholders informed.
• Establish engineering practices and operational excellence to power high-quality, scalable finetuning services.
• Develop capacity management solutions and business metric tracking to ensure the service scales efficiently.
• Hire, mentor, and grow a diverse team of top engineering talent.
• Foster a culture of innovation, accountability, and customer focus.

You may be a good fit if you

• Have 5+ years of engineering management experience leading high-performing teams to deliver business-critical products.
• Have a strong backend development background and deep experience operating customer-facing services at scale, with stringent uptime requirements.
• Have a proven track record partnering with customers and navigating enterprise/B2B environments.
• Possess excellent cross-functional leadership and communication skills to align engineering, product, research, and business teams.
• Are passionate about building innovative AI products in a fast-paced, customer-driven environment.
• Are committed to developing AI responsibly and safely.

Strong candidates may also have experience with

• Deep ML/AI engineering expertise, ideally with experience in large language models and finetuning techniques.
• Building and operating SaaS or PaaS offerings on public cloud infrastructure.
• Developing pricing models, SLAs, and operating agreements for AI/ML products.
• Managing relationships with strategic partners and enterprise customers.
• Expertise in large-scale capacity management and resource orchestration.
• Track record hiring and developing diverse engineering teams.

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.

Compensation and Benefits

Anthropic’s compensation package consists of three elements: salary, equity, and benefits. We are committed to pay fairness and aim for these three elements collectively to be highly competitive with market rates.

• Equity: For eligible roles, equity will be a major component of the total compensation. We aim to offer higher-than-average equity compensation for a company of our size, and communicate equity amounts at the time of offer issuance.

• US Benefits: The following benefits are for our US-based employees:

  • Optional equity donation matching.
  • Comprehensive health, dental, and vision insurance for you and all your dependents.
  • 401(k) plan with 4% matching.
  • 22 weeks of paid parental leave.
  • Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more!
  • Stipends for education, home office improvements, commuting, and wellness.
  • Fertility benefits via Carrot.
  • Daily lunches and snacks in our office.
  • Relocation support for those moving to the Bay Area.

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.