Engineering Manager, Model Serving
1 week ago
Anthropic is a leading technology company dedicated to developing reliable, interpretable, and steerable AI systems. Our mission is to create AI that is safe and beneficial for our users and society as a whole. Our team is a rapidly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the RoleWe are seeking an experienced and highly technical Engineering Manager to lead our Model Serving engineering team, focused on external partnerships. The team's charter is to build scalable infrastructure to support the serving of Anthropic's world-class large language models on leading cloud service providers. The team collaborates closely with experts in Anthropic's research organization, product leaders, and external partners to ensure we deliver industry-leading 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.
Key Responsibilities- Team Leadership: Manage and grow a team of talented backend and infrastructure engineers to deliver on the External Technical Partnerships team charter and goals.
- Technical Expertise: Maintain deep technical involvement in the project, to help drive the technical roadmap and execution to ship and expand capabilities, scale, and launch new LLMs. You should be comfortable operating in the codebase alongside the engineers on your team.
- Collaboration: Collaborate with product and research teams to define the feature set, API interfaces, and technical requirements for launching new models and features at ever-faster latencies.
- Customer Focus: Work closely with product management and external partners to design solutions that meet ever-evolving customer needs.
- Communication: Practice excellent communication and upward/outward management to establish high-functioning relationships with internal and external partners and keep your executive stakeholders informed.
- Engineering Excellence: Establish engineering practices and operational excellence to power high-quality, scalable fine-tuning services.
- Capacity Management: Develop capacity management solutions and business metric tracking to ensure the service scales efficiently.
- Team Development: Hire, mentor, and grow a diverse team of top engineering talent.
- Culture Building: Foster a culture of innovation, accountability, and customer focus.
- 5+ years of engineering management experience leading high-performing teams to deliver business-critical products.
- Strong backend development background and deep experience operating customer-facing services at scale, with stringent uptime requirements.
- Proven track record partnering with customers and navigating enterprise/B2B environments.
- Excellent cross-functional leadership and communication skills to align engineering, product, research, and business teams.
- Passion for building innovative AI products in a fast-paced, customer-driven environment.
- Commitment to developing AI responsibly and safely.
- Deep ML/AI engineering expertise, ideally with experience in large language models and fine-tuning 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.
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.
UK Benefits: The following benefits are for our UK-based employees:
- Optional equity donation matching.
- Private health, dental, and vision insurance for you and your dependents.
- Pension contribution (matching 4% of your salary).
- 21 weeks of paid parental leave.
- Unlimited PTO – most staff take between 4-6 weeks each year, sometimes more.
- Health cash plan.
- Life insurance and income protection.
- Daily lunches and snacks in our office.
This compensation and benefits information is based on Anthropic's good faith estimate for this position as of the date of publication and may be modified in the future. Employees based outside of the UK or US will receive a different benefits package. The level of pay within the range will depend on a variety of job-related factors, including where you place on our internal performance ladders, which is based on factors including past work experience, relevant education, and performance on our interviews or in a work trial.
How We're DifferentWe 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
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