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 the world's 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.
ResponsibilitiesManage and grow a team of talented backend and infrastructure engineers to deliver on the External Technical Partnerships team charter and goalsMaintain deep technical involvement in the project, to help you 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.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.Work closely with product management and external partners to design solutions that meet ever-evolving customer needsPractice 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 servicesDevelop capacity management solutions and business metric tracking to ensure the service scales efficientlyHire, mentor, and grow a diverse team of top engineering talentFoster a culture of innovation, accountability, and customer focusYou may be a good fit if you5+ years of engineering management experience leading high-performing teams to deliver business-critical productsStrong backend development background and deep experience operating customer-facing services at scale, with stringent uptime requirementsProven track record partnering with customers and navigating enterprise/B2B environmentsExcellent cross-functional leadership and communication skills to align engineering, product, research, and business teamsPassion for building innovative AI products in a fast-paced, customer-driven environmentCommitment to developing AI responsibly and safelyStrong candidates may also have experience withDeep ML/AI engineering expertise, ideally with experience in large language models and finetuning techniquesBuilding and operating SaaS or PaaS offerings on public cloud infrastructureDeveloping pricing models, SLAs, and operating agreements for AI/ML productsManaging relationships with strategic partners and enterprise customersExpertise in large-scale capacity management and resource orchestrationTrack record hiring and developing diverse engineering teamsDeadline to apply:None. Applications will be reviewed on a rolling basis.
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