Fundamental

Senior Technical Program Manager

San Francisco · Senior

Sponsorship not specified$50k-$300kDetected 43 days ago

SnowflakeDatabricksMachine LearningLLMsMLOpsResearchLeadershipCommunicationCollaboration

About the role

You will be the connective tissue between three highly capable teams that today coordinate through goodwill and Slack, and need a system.
You will not be managing a team of TPMs.
You will be in the weeds: standardizing tools, ordering bugs, running the SDLC, and giving leadership an honest read on what is and isn't getting done.

Own Linear, partner to set real deadlines, hold the line on them, and give leadership an accurate six-month forward view of capacity across Applied AI, Engineering and Research.
Design automated development workflows that can keep pace with AI-accelerated engineering, ensuring that compliance, security, and privacy reviews are inherently baked into the system.
API & Technical Specification Alignment. Act as the facilitator for cross-team technical definitions. Prevent delivery bottlenecks by ensuring early agreement on API signatures, terminologies, and system design before Engineering is asked to build.
Relocation support for employees moving to join the team in one of our

Comfort with ambiguity and authority.
You are a Director or Principal-level IC who loves being in the weeds.
Experience coordinating engineering across multiple time zones, ideally including the US/Europe/Israel triangle or equivalent.
When a capability is built but stuck before launch, you are the person who gets it across the line.

Background in enterprise B2B SaaS, especially companies with both a platform motion and a Forward Deployed Engineering or solutions motion (Palantir, Databricks, Snowflake, Scale, Sierra, and similar).
Experience working alongside an FDE or applied team where customer-built work needs to be productized.
Familiarity with model deployment, inference infrastructure, or MLOps at production scale.
Track record of standing up SDLC and tooling at a company in the 50 to 300 person range.

standardizing tools, ordering bugs, running the SDLC, and giving leadership an honest read on what is and isn't getting done.

Competitive compensation with salary and equity
Comprehensive health coverage for you and your dependents
Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys
Direct experience with the machine learning or LLM development lifecycle.
Bonus if you've migrated an organization off tool sprawl onto a coherent stack.

This listing is sourced directly from Fundamental's careers page and normalized into a canonical job model.