Senior Technical Program Manager

Posted Yesterday
Hiring Remotely in San Francisco, CA, USA
Remote or Hybrid
Senior level
Artificial Intelligence • Software
The Role
Own end-to-end SDLC and toolset standardization across Applied AI, Engineering, and Research. Formalize FDE-to-product handoffs, align APIs and technical specs, run cross-team operating rhythms, remove delivery blockers, and provide leadership with accurate forward capacity and delivery accountability.
Summary Generated by Built In
About Fundamental

Fundamental is an AI company pioneering the future of enterprise decision-making. Founded by DeepMind alumni, Fundamental has developed NEXUS – the world's most powerful Large Tabular Model (LTM) – purpose-built for the structured records that actually drive enterprise decisions. Backed by world class investors and trusted by Fortune 100 companies, Fundamental unlocks trillions of dollars of value by giving businesses the Power to Predict.

At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI.

About the Role

As a Senior Technical Program Manager, you will own the "how" and "when" of everything the product and engineering organization ships. You'll partner directly with our Senior Product Manager (the "what" and "why"), the heads of Engineering, Applied AI, and Research, and the FDE team in the field. You will be the connective tissue between three highly capable teams that today coordinate through goodwill and Slack, and need a system.

This is a hands-on role. 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.

Key responsibilities
  • Toolset standardization. You will consolidate tools to as few systems of record as possible, with a single source of truth for SDLC. Day-one priority.

  • SDLC end-to-end. 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.

  • The FDE-to-Engineering handoff. Formalize the path that pulls FDE-built extensions into the core platform. Determine when extensions get productized, when they get deprecated, and when functionality folds into the core model.

  • Cross-team coordination. Run the operating rhythm that connects Applied AI, Engineering, and Research. Kill the downtime on blocked dependencies across SF, Europe, and Israel.

  • 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.

  • Delivery accountability. When a capability is built but stuck before launch, you are the person who gets it across the line.

  • Operational reviews. Establish and run a weekly or biweekly review with engineering leadership that surfaces what's on track, what's blocked, and what needs an executive decision.

  • Collaboration. Work across departments (Marketing, Sales, etc.) for collaboration, communication and coordination.

Must have
  • 7+ years in technical program management, engineering management, or a hybrid role at a high-growth software or AI company. Most of your time has been in environments where engineering moved faster than process.

  • Direct experience with the machine learning or LLM development lifecycle. You don't have to be a researcher, but you should be fluent enough to push back on engineering estimates intelligently.

  • Track record of standing up SDLC and tooling at a company in the 50 to 300 person range. Bonus if you've migrated an organization off tool sprawl onto a coherent stack.

  • Comfort with ambiguity and authority. You will be coordinating senior engineers and researchers without managing them. Influence is the only lever.

  • A Swiss Army Knife Operator. You are a Director or Principal-level IC who loves being in the weeds. You build systems that accelerate delivery without introducing heavy corporate bureaucracy. You influence through competence and execution, not through headcount.

  • Experience coordinating engineering across multiple time zones, ideally including the US/Europe/Israel triangle or equivalent.

  • A bias for shipping. You measure your own work in what got delivered, not in what got tracked.

  • Strong written communication. A lot of cross-team alignment at Fundamental will happen in documents and async updates.

Nice to have
  • 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.

Benefits
  • 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

  • Relocation support for employees moving to join the team in one of our office locations

  • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Skills Required

  • 7+ years in technical program management, engineering management, or hybrid roles at high-growth software or AI companies
  • Direct experience with the machine learning or LLM development lifecycle
  • Track record of standing up SDLC and tooling at a company of ~50-300 people, including consolidating tool sprawl
  • Experience coordinating engineering across multiple time zones (ideally US/Europe/Israel)
  • Strong written communication and documentation skills for cross-team async alignment
  • Proven ability to influence senior engineers and researchers without direct reports; comfortable with ambiguity and authority
  • Bias for shipping and delivering outcomes rather than only tracking work
  • Director or Principal-level individual contributor experience operating hands-on in delivery and process design
  • Background in enterprise B2B SaaS and FDE-to-productization workflows
  • Familiarity with model deployment, inference infrastructure, or MLOps at production scale
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The Company
HQ: San Francisco, California
54 Employees
Year Founded: 2024

What We Do

For decades companies have relied on archaic tools to inform decisions and make bets on the future. Until now. Fundamental empowers businesses to turn gambles into guarantees and determine their future with far greater accuracy than ever before. Built by DeepMind alumni and trusted by Fortune 100 enterprises, NEXUS is our most powerful Large Tabular Model (LTM). By revealing the hidden language of tables, NEXUS unlocks trillions of dollars of value by giving businesses the Power to Predict™.

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