Senior Technical Program Manager

Posted Yesterday
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Hiring Remotely in EU
Remote
Senior level
Artificial Intelligence • Software
The Role
Owns technical program management across Product, Engineering, Applied AI, Research, and FDE teams. Responsibilities include standardizing tools, running the end-to-end SDLC, establishing delivery deadlines and capacity planning, formalizing FDE-to-Engineering handoffs, coordinating distributed teams, aligning API and technical specifications, unblocking launches, and leading operational reviews. The role requires strong experience with machine learning or LLM development, SDLC tooling, cross-functional influence, and delivery in high-growth software environments.
Summary Generated by Built In
About the Role

As Fundamental's first 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, we want someone that enjoys being in the weeds: standardising tools, ordering bugs, running the SDLC, and giving leadership an honest read on what is and isn't getting done.

What You'll Own
  • 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. Formalise the path that pulls FDE-built extensions into the core platform. Determine when extensions get productised, 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.

What We're Looking For
  • 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 organisation 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.

Skills Required

  • 7+ years of experience in technical program management, engineering management, or a hybrid role at a high-growth software or AI company
  • Direct experience with the machine learning or LLM development lifecycle
  • Experience establishing SDLC processes and tooling at a 50- to 300-person company
  • Ability to coordinate senior engineers and researchers without direct management authority
  • Experience coordinating engineering teams across multiple time zones
  • Strong written communication skills
  • Hands-on experience driving software delivery and operational accountability
  • Experience in enterprise B2B SaaS with platform and Forward Deployed Engineering or solutions teams
  • Experience productizing customer-built work with FDE or applied teams
  • Familiarity with model deployment, inference infrastructure, or production-scale MLOps
Am I A Good Fit?
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The Company
HQ: Sparks, MD
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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