---
title: 'Technical Program Manager at Domino Data Lab'
canonical: 'https://feeny.ai/job/technical-program-manager-domino-data-lab-us-east-coast-qxpvh1qndd51'
type: 'job'
last_seen: '2026-10-28'
---

# Technical Program Manager at Domino Data Lab

- **Company:** Domino Data Lab
- **Location:** US East Coast
- **Compensation:** $135k–$160k
- **Work type:** remote
- **Posted:** 2026-10-26
- **Last confirmed live:** 2026-10-28
- **Apply:** https://app.careerpuck.com/job-board/domino-data-lab/job/8325816?gh_jid=8325816

## Job description

## Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting  capabilities, and novel governance capabilities providing regulator-ready AI at scale. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for over a decade but are still a small team operating with the spirit of a startup. In the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit [www.domino.ai](http://www.domino.ai)

## What we are building

The Quality and Compliance team at Domino helps teams deliver AI software and solutions with the quality, validation, and supporting evidence that enterprise customers need. We are building repeatable ways to bring these requirements into delivery early and make readiness clear across teams.

We are hiring a Technical Program Manager to own quality and validation readiness across complex programs. You will bring Engineering, Product, forward-deployed engineers, and Customer Success together around clear plans and decisions, and use AI and automation to reduce manual work as our programs grow.

What your impact will be

- Drive quality and validation programs from scoping through readiness review, translating requirements into clear deliverables, owners, milestones, and acceptance criteria.
- Coordinate dependencies across Engineering, Product, FDEs, and Customer Success. Resolve blockers and give teams and leadership a clear view of progress, risks, and decisions needed.
- Partner with engineering and quality stakeholders to align test coverage, validation evidence, and exception handling. Work with the release owner to incorporate readiness into release planning and decision-making.
- Build repeatable workflows that surface quality and validation needs earlier, prevent recurring issues, and reduce coordination overhead. Define and improve measures of readiness, delivery predictability, and manual effort.
- Use AI and automation in everyday program work. Partner with engineers to build and adopt workflows for evidence preparation, readiness checks, and reporting, with clear checks on accuracy and reliability.
- Provide backup coverage for release managers as needed, coordinating release activities, tracking dependencies, and communicating status to keep releases moving during their absence.
- Operate as a highly flexible and adaptable program manager across Engineering & Security when needed on specific cross-functional initiatives driven and agreed upon by the VP, Quality & Compliance, CISO, and/or Head of Engineering.

## What we look for in this role

- Experience delivering complex technical programs. Approximately 5–8 years in technical program management or a comparable role, with examples of bringing Engineering, Product, and customer-facing teams together to deliver software or technical solutions. You can explain how you established ownership, resolved dependencies, and kept delivery moving across teams you did not directly manage.
- A track record of making recurring work more reliable. You have improved a manual or fragmented process involving testing, validation, release readiness, or customer delivery. You can describe what you personally changed, how teams adopted it, and the resulting improvement in delivery time, quality, rework, or manual effort.
- Experience navigating enterprise software delivery. You have worked through shared platform dependencies, customer-specific requirements, and competing engineering priorities. Experience serving regulated customers in life sciences, financial services, or public sector is preferred; no particular industry background or compliance certification is required.
- Technical fluency and practical automation skills. You understand software development, automated testing, APIs, integrations, and release workflows well enough to work through implementation tradeoffs with engineers. You have used AI and automation to improve real work and can explain how you checked the outputs and handled failures.
- Quality and validation judgment. You can translate requirements into clear acceptance criteria, verification activities, and supporting evidence. You are comfortable reviewing sample deliverables with subject matter experts, identifying gaps, and coordinating the work needed to resolve them.
- Strong workflow and execution skills. You can turn a process into actionable Jira requirements, including fields, statuses, dependencies, and reporting, and partner with engineers and administrators to implement it.
- Clear communication and customer partnership. You can align internal teams and customer reviewers on deliverables, incorporate feedback, and establish what acceptance requires. You communicate risks early, present practical options, and drive decisions through to completion.
- Proactive ownership. You address immediate delivery needs while improving the processes behind recurring problems. You can partner with release managers on readiness and provide backup release coordination when needed.

## What We Value

- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

## Compensation Range

$135,000—$160,000 USD

## About Domino Data Lab

## Company Overview
- **One-liner**: Domino Data Lab provides an enterprise AI platform that unifies tools, infrastructure, and governance to help organizations build, scale, and govern AI-powered applications.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Nick Elprin (CEO), Christopher Yang, and Matthew Granade

## Core Business
- **Primary industry**: Enterprise AI / MLOps / Data Science and Machine Learning Platforms
- **Target customers**: B2B, highly regulated enterprises — including 20% of the Fortune 100, such as life sciences, financial services, insurance, and public sector organizations.
- **Mission**: "Unleash AI to address the world’s most important challenges" — helping enterprises accelerate science and research while reducing cost, risk, and complexity.

## Products & Services
- **[Model Factory]**: The core development environment for building AI systems and applications. Supports every method from statistical computing to agentic AI, with any coding assistant, language, or framework. [domino.ai](https://domino.ai/)
- **[Governance Center]**: Govern AI systems and applications to reduce risk and ensure compliance. Defines policies once and enforces them across the entire lifecycle with complete auditability, quality control, and cost visibility. [domino.ai](https://domino.ai/)
- **[App Hub]**: Scale AI-powered applications to thousands of users securely. Delivers governed applications to decision-makers with no rewrites from development to production. [domino.ai](https://domino.ai/)
- **[Agentic AI]**: Design autonomous agents with any framework, deploy them as governed applications, and manage them across their entire lifecycle — all in one platform. [domino.ai](https://domino.ai/)
- **[Coding Assistants]**: Adds traceability, reproducibility, and governance to everything produced by coding assistants. [domino.ai](https://domino.ai/)
- **[Model Risk Management (MRM)]**: A platform for the full model lifecycle, from development through ongoing regulatory compliance, enabling faster model validation with fewer audit findings. [domino.ai](https://domino.ai/)
- **[Document Intelligence]**: Build AI that reads, classifies, and extracts insight from documents at scale, enabling faster decisions from unstructured data at lower cost. [domino.ai](https://domino.ai/)
- **[Statistical Computing Environments (SCE) Solutions]**: A fully reproducible, audit-ready platform for SAS, R, and Python, designed for faster clinical trial submissions with lower compliance risk. [domino.ai](https://domino.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding — Over $300 million raised (backed by notable investors). The platform is trusted by over 20% of the Fortune 100. [domino.ai](https://domino.ai/company)
- **Notable Investors/Partners**: Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital, and other leading investors. [builtin.com](https://builtin.com/company/domino-data-lab)
- **Growth Signals**: Named to Inc.’s 2026 Best Workplaces list. Recognized in the 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Customer wins include the U.S. Navy (75% reduction in model deployment time), Moody's (50%+ reduction in deployment time), and UBS (5-year partnership for model risk management). [domino.ai](https://domino.ai/)

## Competitive Advantages
- **End-to-end, unified platform**: Combines development (Model Factory), governance (Governance Center), and deployment (App Hub) into a single platform — a holistic approach that reduces cost, risk, and complexity.
- **Built for highly regulated enterprises**: Domino's governance-by-default design is purpose-built for industries like finance, life sciences, and defense, where compliance and auditability are non-negotiable.
- **Proven impact at scale**: Customers report a 6x reduction in infrastructure costs, a 50% reduction in end-to-end model lifecycle time, 40% faster model development, and 75% faster model deployment. [domino.ai](https://domino.ai/)
- **Reproducibility by default**: Every experiment, model, and decision is captured automatically, allowing teams to reproduce any result without manual reconstruction — a critical moat in regulated environments.

## Strategic Focus
- **Agentic AI and AI-powered applications**: Domino is heavily investing in enabling agentic AI workflows and the deployment of AI-powered applications at scale, as evidenced by their new "Agentic AI" and "App Hub" product lines.
- **Deepening governance and compliance**: The "Governance Center" and "Model Risk Management" solutions indicate a strategic focus on making compliance a core feature, not an afterthought, for enterprise AI.
- **Industry-specific solutions**: Targeting specific verticals like life sciences (SCE solutions), financial services (MRM), and defense (U.S. Navy collaboration) to create tailored, high-value offerings.

## Why Work Here
- **Impact-driven mission**: Employees work on solving "the world’s most important problems" — from developing new medicines and more efficient crops to building safer defense systems.
- **Flexible work environment**: Domino operates a hybrid workspace with "flexible" on-site time. They have offices in San Francisco, London, and a remote hub in Argentina. The company states: "Feel supported to get your work done how and when you need to, regardless of your location." [builtin.com](https://builtin.com/company/domino-data-lab)
- **Generous benefits**: Premium medical, dental, and vision insurance (with a free option for family), competitive parental leave, flexible paid time off, annual education reimbursement, and commuter benefits. [domino.ai](https://domino.ai/careers)
- **Culture of ownership**: The company values "low ego and a high degree of ownership," seeking "self-starters" who can "own your outcome." [domino.ai](https://domino.ai/careers)
- **Award-winning workplace**: Domino was named to Inc.’s 2026 Best Workplaces list, signaling strong employee satisfaction and culture. [domino.ai](https://domino.ai/company)
- **Global team with 200+ employees**: A growing, mid-sized company where employees can feel the direct impact of their work. [builtin.com](https://builtin.com/company/domino-data-lab)

## Sources
1. [domino.ai](https://domino.ai/)
2. [domino.ai/company](https://domino.ai/company)
3. [domino.ai/careers](https://domino.ai/careers)
4. [builtin.com](https://builtin.com/company/domino-data-lab)
5. [linkedin.com](https://www.linkedin.com/company/domino-data-lab)

## Other roles at Domino Data Lab

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- [Engagement Manager, Life Sciences](https://feeny.ai/job/engagement-manager-life-sciences-domino-data-lab-united-kingdom-r08kscjnghxq) — United Kingdom
- [Solution Architect](https://feeny.ai/job/solution-architect-domino-data-lab-united-states-qz3a5a1ew8rg) — United States
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