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Engineering Manager, Finetuning Services Lead

2 months ago

San Francisco, California, United States Anthropic Full time

About Anthropic

Anthropic is a leading artificial intelligence research organization dedicated to developing safe, interpretable, and steerable AI systems. Our mission is to create AI that benefits society as a whole, and we're committed to advancing the field of AI research through collaborative and innovative approaches.

About the Role

We're 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 scalable infrastructure and APIs 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.

Key Responsibilities

  1. Team Leadership: 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.
  2. Technical Expertise: Maintain deep, hands-on technical involvement in the project, driving the technical roadmap and execution to ship and expand finetuning capabilities and support new LLMs.
  3. Collaboration: Collaborate with product and research teams to define the finetuning feature set and API interfaces.
  4. Customer Focus: Work closely with product management and external partners to design finetuning solutions that meet ever-evolving customer needs.
  5. Communication: Establish high-functioning relationships with internal and external partners and keep executive stakeholders informed.
  6. Engineering Practices: Establish engineering practices and operational excellence to power high-quality, scalable finetuning services.
  7. Capacity Management: Develop capacity management solutions and business metric tracking to ensure the service scales efficiently.
  8. Talent Development: Hire, mentor, and grow a diverse team of top engineering talent.
  9. Culture Building: Foster a culture of innovation, accountability, and customer focus.

Requirements

  1. 5+ years of engineering management experience leading high-performing teams to deliver business-critical products.
  2. Strong backend development background and deep experience operating customer-facing services at scale, with stringent uptime requirements.
  3. Proven track record partnering with customers and navigating enterprise/B2B environments.
  4. Excellent cross-functional leadership and communication skills to align engineering, product, research, and business teams.
  5. Passion for building innovative AI products in a fast-paced, customer-driven environment.
  6. Commitment to developing AI responsibly and safely.

Desirable Skills

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