Portfolio jobs

Discover opportunities with Lionheart Ventures and our portfolio companies.

Engineering Manager, Finetuning Services



Software Engineering, Other Engineering
San Francisco, CA, USA · New York, NY, USA · Seattle, WA, USA
Posted on Tuesday, May 14, 2024

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 Engineering Manager to lead our Finetuning Services team. 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 and product leaders to ensure we deliver industry-leading finetuning functionality rapidly. 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.


  • Manage and grow a team of Machine Learning Engineers, Software Engineers, and API Developers to deliver on the Finetuning Service team charter
  • Drive the technical roadmap and execution to ship and expand finetuning capabilities and support new LLMs
  • Collaborate with product and research teams to define the finetuning feature set and API interfaces
  • Work closely with product management and partners to design finetuning solutions that meet ever-evolving customer needs
  • 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

  • 5+ years of engineering management experience leading high-performing teams to deliver business-critical products
  • Strong API development background and deep experience operating customer-facing services at scale, with stringent uptime requirements
  • Deep ML/AI engineering expertise, ideally with experience in large language models and finetuning techniques
  • 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 with

  • 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

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The expected salary range for this position is:

Annual Salary:
$320,000$405,000 USD


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.

US visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate; operations roles are especially difficult to support. But if we make you an offer, we will make every effort to get you into the United States, 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. 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.

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 - On top of this position's salary (listed above), 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 at a 3:1 ratio, up to 50% of your equity grant.
  • 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 at a 3:1 ratio, up to 50% of your equity grant.
  • 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 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. 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. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both as needed.

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!

Anthropic is a public benefit corporation based 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.