Strategic Projects
US$140,000 – US$210,000 / yr base salary
Posted 24 Jun 2026
Advertised as “Strategic Projects Lead (Technical)”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$140,000 – US$210,000 / yr |
|---|
Field of studyComputer Science, Data Science, Engineering, Machine learning, Mathematics, Statistics (or related)
Study levelBachelor's
CertificationsMaster of Business Administration
About SuperAnnotate
SuperAnnotate helps the world’s leading AI teams build responsible, next-generation models powered by high-quality human data. We’re a fast-growing Series B startup bridging the gap between advanced AI innovation and the data that drives it. Our global network of expert specialists, scalable managed operations, precise talent matching, and full project transparency ensure unmatched data quality at scale. Trusted by innovators like Databricks and ServiceNow - and backed by NVIDIA, Dell Technologies Capital, Databricks Ventures, Cox Enterprises, and Lionel Messi’s Play Time VC - SuperAnnotate is proud to be the top-ranked AI data company on G2 for multiple consecutive years, including 2025.
The Impact You'll Make
We’re looking for a skilled, technical operator who can take full ownership of our most complex, high-value client engagements.
As a Strategic Projects Lead, you’ll run the end-to-end delivery of SuperAnnotate’s largest LLM and Gen AI data programs. This includes everything from scoping data collection workflows with key clients, acting as a trusted resource to researchers, diagnosing data quality issues, and reallocating resources under a tight deadline. The role touches everything: strategy, execution, client relationships, team development, and process design.
You’ll work directly with researchers, data teams, and other key stakeholders at some of the most advanced AI organizations in the world. You'll be trusted to represent SuperAnnotate at the highest level, including on technical tradeoffs, and to grow those relationships through execution and management excellence.
You don't need to be building models, but you do need to be technical enough to understand how they're trained, evaluated, and improved. That means hands-on comfort with data, code, and pipelines, and the ability to engage credibly with client engineering and research teams on LLM data challenges and evaluation approaches.
This is a full-time, hybrid position based in San Francisco.
What You'll Do
- Own project delivery end-to-end: Lead LLM and Gen AI data engagements from initial scoping through final delivery - including use case definition, resource planning, quality oversight, and client sign-off. The project succeeds or fails on your watch.
- Be the client’s main point of contact: Build and maintain trusted relationships with key stakeholders. Bring transparency, good judgment, and a solutions orientation to every interaction.
- Drive operational discipline across workstreams: Manage timelines, staffing plans, and delivery quality across multiple concurrent projects. Catch problems before they become crises and fix them before they reach the client.