Senior Technical Program Manager – AI

MeridianLink

Sr. Technical Program Manager driving delivery of AI/ML projects for MeridianLink's software solutions.

Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $94,667 - $195,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in technical program management with a focus on AI and ML initiatives, ensuring effective project execution and stakeholder communication. Proficient in managing software development lifecycle processes and utilizing project management tools to enhance team productivity and delivery.

Highest-signal resume keywords

Technical Program ManagementAI/ML Initiative ManagementAI-Driven SDLC ConceptsStakeholder ManagementJira and Confluence Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Project ExecutionRisk ManagementAgile MethodologiesTest AutomationProgram ManagementSDLC ModernizationAI-Assisted RequirementsFeature Flag GovernanceContinuous ImprovementMetrics Analysis

Soft Skills

Stakeholder CommunicationTeam CollaborationProblem SolvingFacilitation SkillsNarrative Translation

Tools & Technologies

JiraConfluenceDORA FrameworkSPACE FrameworkAgile Ceremonies

Industry Keywords

AI AgentsML PlatformsSoftware EngineeringProgram DeliveryScrum Teams

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Own end-to-end project execution: plan, schedule, and drive delivery across the full project lifecycle, balancing constraints and keeping work moving forward in partnership with product and engineering counterparts.
Build and maintain project plans, track milestones, and proactively manage risks, issues, and tradeoffs—providing clear stakeholder updates with recommended solutions.
Serve as the PMO lead for the ML's agentic platform and customer facing products — the structured methodology for developing, testing, deploying, and operating AI agents within MeridianLink’s agentic architecture.
Partner with engineering leads to embed AI into each SDLC phase: requirements (AI-assisted grooming agents), development (co-pilot and Claude Code standards), testing (test-driven development metrics), and release (zero-downtime deployment, feature flag governance).
Establish and continuously improve team processes that increase quality and productivity through process definition, education, and refinement.
Facilitate light weight agile ceremonies (planning, standups, retrospectives) and drive continuous improvement through retrospective assessments.
Use tools such as Jira (and related reporting) to support teams and enable visibility into progress, capacity, and delivery health. Bridge product and engineering AI alignment.

Requirements

What you’ll need

7+ years of technical program management in a software engineering organization, with at least 2 years in an AI, ML, or platform transformation context.
Demonstrated experience managing AI/ML initiatives or SDLC modernization programs — not just awareness, but delivery ownership.
Fluency with AI-driven SDLC concepts: AI-assisted requirements, co-pilot/code generation tooling, test automation, agentic deployment, and observability.
Ability to translate engineering complexity into executive narratives and vice versa; strong stakeholder management across CTO, VPs, and ICs.
Experience running programs that span multiple scrum teams, including offshore-heavy organizations.
Hands-on with program/project tooling (Jira, Confluence, or equivalents) and familiarity with engineering metrics (DORA, SPACE, or similar frameworks).

Benefits

Comp & perks

Insurance coverage (medical, dental, vision, life, and disability)
Flexible paid time off
Paid holidays
401(k) plan with company match
Remote work