Senior Technical Program Manager

About the role

This is an AI-first role operating under a "prove AI can't do it" gating principle, where AI is the default solution for recurring TPM workflows and people, meetings, and processes are added only after we have demonstrated AI cannot do the work. You will lead large-scale, cross-functional initiatives across Legal Marketing brands — Avvo, FindLaw, Superlawyers, Martindale-Hubbell, Lawyers.com — where AI agents and tooling absorb the recurring program-management work, reserving your time for strategic judgment, executive communication, and cross-functional trust-building.

Responsibilities

• Technical design. Lead solutioning and technical review for programs using AI agents that surface unstated assumptions in PRDs, propose architecture options against historical incidents, and generate ADRs from review sessions; partner with engineering on what these agents need to do next.
• Planning. Drive capacity and resource planning, dependency identification, and project schedule development using planning agents that produce candidate capacity models and schedules from product requirements, team velocity, and sprint history; bring judgment to resolve plan-versus-capacity trade-offs the system can't decide on its own.
• Scheduling. Own cross-team scheduling supported by AI surfaces that detect bottlenecks, model re-sequencing options when dependencies shift, and surface schedule risk; set policies these surfaces operate under and own trade-offs when the call becomes strategic.
• Trade-off decisions. Make scope, sequencing, and resourcing trade-offs when the AI surface presents options requiring judgment on business impact, organizational context, executive priorities, or partner commitments the system can't see.
• Delivery. Lead program delivery — task planning, scope coverage, cross-team dependency resolution, issue management, and launch quality — supported by agents that draft tickets with acceptance criteria, scan in-flight tickets for scope drift, monitor cross-team dependencies and contract drift, generate launch-readiness scoring, and analyze integration test coverage against critical paths; negotiate priorities, break ties, escalate to leadership, and own launch quality calls.
• Communication. Drive stakeholder communication on project progress, health, risk, and KPI movement using AI-powered status synthesizers, KPI monitors, and risk surfacers; own executive communication on strategic initiatives where narrative matters as much as numbers.
• Knowledge management. Lead knowledge management — capture, organize, and distribute feature and system decisions and documentation leveraging auto-extraction pipelines from tickets, PRs, design docs, and meeting transcripts; help define schema, evals, and refresh cadence for program contributions.
• AI tooling contribution. Actively shape the AI tooling roadmap — propose what to automate next, partner with engineering on design and prioritization, and surface real-world feedback driving tooling evolution.
• Eval design. Design and operate evals for agents in your program — accuracy, faithfulness, drift over time — and pull agents back to human review when evals fall below threshold; eval design is yours, not an engineering hand-off.
• Practice leadership. Drive consistent, high-quality project management practices across the TPM function — develop and maintain templates, playbooks, and best practices capturing how AI-augmented program work gets done at scale, evolving them as the AI surface matures.
• AI adoption. Lead adoption of AI tooling within program teams — coach engineers and partners on when and how to use the AI surface, surface adoption blockers back to engineering, and close the loop on team feedback.

Qualifications

• 7+ years of technical project management at a technology company, including 3+ years leading software development with schedules and deadlines, preferably in SaaS
• Practical experience using LLM-based agents or AI workflows in production, and contributing to their design, prompts, and evaluation
• Experience contributing to evaluations for AI systems (accuracy, faithfulness, drift detection) and using them to drive quality decisions
• Technical depth sufficient to read engineering design proposals, debate prompt and tooling strategies, and contribute to AI-based solution evals
• Strong bias for action — proven ability to make progress in ambiguous environments with incomplete information or imperfect tools
• Proven track record of leading complex programs across cross-functional teams using agile methodologies
• Experience with standard project planning, roadmapping, and issue tracking tools
• BS/BA degree required, preferably in computer science or technical disciplines

Preferred qualifications

• Experience using AI agents in production team workflows in partnership with engineering, including under an AI-first gating principle
• Experience with structured knowledge extraction or retrieval-augmented systems
• Experience driving adoption of new tooling or process across engineering teams
• Scrum Master, Scaled Agilist, or PMP Certification
• Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership
• Experience in a company at scale or previous work in a large software development organization

Pay

Low - mid $100ks, depending on skills, qualifications, and experience.

Benefits

• Health insurance options: medical, dental, and vision coverage
• Flexible spending accounts (FSA) for medical and dependent care
• Short-term and long-term disability insurance
• Life and AD&D insurance
• 401(k) retirement savings plan with company match
• Paid time off (PTO) and paid holidays
• Commuter benefits
• Employee Assistance Program (EAP) and well-being coaching services
• Voluntary benefits: home, auto and pet insurance, discounted legal and financial services