Salary range: $250,000 - $350,000/year + benefits + bonus
Description: As a Technical Program Manager, you will scope, organize, and direct the work of our technical staff across our external engagements. These include embedded evaluations on site at frontier labs, rapid-response incident analysis, and evaluation services for partners such as the EU AI Office and Common Sense Media. You will own each engagement end to end, from the first scoping conversation to the final dissemination.
As an early member of a highly collaborative team, you will learn and grow quickly, and work closely with our technical and governance teams to protect researcher time and turn one-off engagements into repeatable playbooks.
Core responsibilities:- Define the scope of each engagement, set key milestones, and negotiate terms, with support from our operations team.
- Organize the technical team's work, manage dependencies, and keep everyone aligned through frequent touchpoints.
- Act as a sounding board on key strategic and methodological questions, reflecting the needs of the engagement and other considerations, such as relevant regulatory guidance.
- Own the day-to-day partner relationship, building trust and resolving issues while protecting Transluce's core interests and the technical team's time.
- Engage directly with evaluation results and technical analysis to understand the work, identify issues, and help drive the engagement forward.
- Present deliverables to partners and summarize results for broader audiences, including blog posts, papers, and government and media briefings.
Minimum qualifications:- Understanding of AI evaluations and the ability to engage with technical teams on their design and results.
- Track record of managing cross-functional teams, for example in a tech company, consulting firm, or fast-paced startup.
- Experience engaging external partners such as frontier AI companies, government actors, or civil society organizations.
- Ability to work through ambiguity and deliver against complex, evolving goals on short timelines, building workflows where none exist.
- Ability to translate technical research for a range of audiences.
- Exceptional communication and relationship skills, low ego, openness to giving and receiving feedback.
Preferred qualifications (not required):- Experience managing evaluations at scale or in a production context.
- Proficiency in Python and data analysis tools (e.g., pandas, SQL), and familiarity with common ML and evaluation frameworks (e.g., PyTorch, Hugging Face, Inspect).
- Experience building and applying software tools, for example in a forward-deployed engineering role.
- Knowledge of frontier AI risk management practices or relevant regulatory guidance.
We are hiring at all levels of experience and would encourage those enthusiastic about the role who do not meet all of the qualifications to apply. This role involves regular travel. We are located in San Francisco and excited to work together in person. We are open to sponsoring international visas.
