Anthropic
Engineering Manager, Finetuning Services
Anthropic, San Francisco, California, United States, 94199
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.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.ResponsibilitiesManage 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 you5+ 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.Strong candidates may also have experience withDeep 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 team.Deadline to apply:
None. Applications will be reviewed on a rolling basis.Annual Salary
The expected salary range for this position is: $320,000 — $405,000 USD.LogisticsLocation-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.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.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.How we're different
We 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.Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
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Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.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.ResponsibilitiesManage 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 you5+ 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.Strong candidates may also have experience withDeep 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 team.Deadline to apply:
None. Applications will be reviewed on a rolling basis.Annual Salary
The expected salary range for this position is: $320,000 — $405,000 USD.LogisticsLocation-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.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.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.How we're different
We 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.Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
#J-18808-Ljbffr