Note: The job is a remote job and is open to candidates in USA. Domino Data Lab builds software for data science and AI teams. The Technical Program Manager will own quality and validation readiness across complex programs, coordinating cross-functional teams and using AI and automation to improve program workflows.

Responsibilities

• 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

Skills

• 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
• 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
• You have worked through shared platform dependencies, customer-specific requirements, and competing engineering priorities
• 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
• 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
• You can turn a process into actionable Jira requirements, including fields, statuses, dependencies, and reporting, and partner with engineers and administrators to implement it
• 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
• 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
• Experience serving regulated customers in life sciences, financial services, or public sector is preferred

Benefits

• Equity
• Company bonus or sales commissions/bonuses
• 401(k) plan
• Medical, dental, and vision benefits
• Wellness stipends

Company Overview

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