Program Director — Enterprise Fine-Tuning

1 · Can you apply from United States?

3 · How you get paid

Unknown — ask the company

4 · Your working hours

The ad doesn’t say which hours. Ask the company.

5 · Trust

They ask for

Full description

About Toloka  At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. Role Description We are seeking an exceptional Program Director to own and scale the execution of Enterprise fine-tuning projects across a major client portfolio. This role focuses on operational excellence and flawless delivery, working in close partnership with business development, product, and engineering teams to drive revenue growth through exceptional client outcomes. As Program Director, you will own the process management and client engagement behind these projects. You will work directly with enterprise engineering, platform, and product teams to turn a business problem into a scoped, delivered fine-tuning engagement. This is a senior, hands-on role: you will run the work yourself, not just oversee it. You will combine consulting-grade program management with a working understanding of how fine-tuning projects run, and experience navigating enterprise procurement and IT. What you’ll do • Run discovery with the client: stakeholder interviews, use-case prioritisation, business case and ROI, then scope and deliver the engagement end to end, including model hosting, SLAs and security review. • Take ownership of active client projects, managing scope, timelines, and stakeholders. • Navigate enterprise procurement, IT infrastructure, and security processes on the client side. • Our clients are tech-forward enterprises. Your counterparts are CTOs and platform, infrastructure and ML engineering leads, not procurement desks alone. • Translate between client product and engineering buyers and our internal data and machine learning teams. • Partner with the sales team on opportunities and help shape offerings as the business grows. • Build repeatable processes and playbooks so the practice can scale across new clients and industries. Required Skills and Experience • Strong consulting experience with a record of hands-on client delivery. • Working technical fluency in LLMs and fine-tuning. You will partner closely with our ML engineers; you don't need to be one, and this is not a coding role. • Product and process management skills, with the ability to structure ambiguous problems and drive them to completion. • Experience working with large enterprises, including their procurement processes and IT infrastructure. • Excellent communication skills with technical and non-technical stakeholders, including senior client leadership. • STEM background preferred. Why This Role Fine-tuning needs three things: compute, which is commoditised; ML engineers, of whom there are more every year; and high-quality data, which is what actually limits model quality. Toloka produces that data, which puts us in a position which pure fine-tuning shops are not. You would join on the ground floor of this practice and help build it, including the forward-deployed team as it grows. What we can offer • You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. • Competitive compensation package including base salary, bonus, and ESOP. • Paid PTO and benefits will vary depending on location. • We offer a full remote or hybrid model (if you are based in NL or Serbia). • IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: • Official Communication: Our recruiting team will only contact you from an official "toloka.ai" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. • Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. • Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice.