Senior Technical Program Manager (A.I.)

MeridianLink; United States; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Continuous learning opportunities

Executive exposure

Health and wellness programs

Team celebrations and community events

Job summary

MeridianLink is seeking a Sr Technical Program Manager to lead delivery of complex, cross-functional initiatives including AI/ML and intelligent automation. You will balance scope, timeline, and dependencies while partnering across Engineering, Product, Data, Security, and Operations to deliver high-quality outcomes.

This role requires running tight execution rhythms and understanding AI work's unique delivery needs (experimentation, data readiness, evaluation, governance, iteration) in the

Qualifications

• 7+ years of technical program management in a software engineering organization, including AI/ML or platform transformation context.
• Experience running programs spanning multiple scrum teams, including offshore-heavy organizations.
• Ability to translate engineering complexity into executive narratives and manage senior stakeholders (CTO, VPs, ICs).

Responsibilities

• Drive delivery for complex, cross-functional initiatives including AI/ML and intelligent automation.
• Balance scope, timeline, and dependencies across Engineering, Product, Data, Security, and Operations to deliver high-quality outcomes.
• Own end-to-end project execution from planning to rollout in MeridianLink’s AI-enabled SDLC.
• Build and maintain project plans, track milestones, and proactively manage risks with stakeholder updates.

Skills

Technical program mgmt

AI/ML delivery

Stakeholder mgmt

Scrum/Agile

Tools

Jira

Confluence

Job description

Responsibilities

• We’re looking for a Sr Technical Program Manager (TPM) to drive delivery for complex, cross‑functional initiatives—including those involving AI/ML and intelligent automation
• You’ll balance scope, timeline, and dependencies while partnering across Engineering, Product, Data, Security, and Operations to deliver high‑quality outcomes
• This role is ideal for someone who can run tight execution rhythms and understand the unique delivery needs of AI work (experimentation, data readiness, evaluation, governance, and iteration) in the rollout of the AI‑Driven SDLC (AIDLC),
• 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

What Success Looks Like (First 90 Days)

• Delivery plans are clear, realistic, and transparent; stakeholders consistently know status, risks, and next steps
• Dependencies are surfaced early and managed actively; team execution rhythms are consistent and effective
• AI‑related initiatives have strong delivery hygiene (milestones, measurable outcomes, and aligned execution across data/Product/Engineering)

Benefits

• Ongoing development: Continuous learning is essential to growth, and we’re committed to helping our employees thrive. You’ll have the opportunity to take part in job‑specific training, monthly soft‑skill sessions, and leadership classes designed to support your development at every stage.
• Access to executives: Have a good idea? Share it with peers, managers, or executives. Our leadership is approachable and actively involved in supporting your work.
• Health lifestyle: Healthy staff makes us happy. We support our team members with resources and programs that promote financial, physical, and mental health—encouraging balance, self‑care, and a lifestyle that helps you feel your best every day.
• Celebrations: All work and no play makes for a dull day. We celebrate holidays, birthdays, work anniversaries, and other milestones with fun activities that bring us together. We also provide channels for employees to recognize and celebrate each other’s achievements, making appreciation a regular part of our culture.
• Community partnering: Take a day off with pay to volunteer where it matters most to you or join the company in various community service projects throughout the year.

Qualifications

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