Senior Technical Program Manager (AI)

TL;DR

Senior Technical Program Manager (AI): Lead and build AI-enabled tools that help teams learn faster and make better product decisions with an accent on AI-native internal tooling, portfolio strategy/sequencing, and responsible AI safeguards. Focus on orchestrating roadmap execution across Research, Product, Engineering, and Design while measuring adoption, reliability, and learning impact.

Location: Remote (U.S.)

Salary: $148,600.00–$237,400.00 annually (base pay range for CA, CT, MD, MA, NJ, NY, Washington state, and Washington DC); $141,200.00–$225,600.00 annually (base pay range for CO, HI, IL, MN, NV, OH, RI, and VT). Equity awards eligible.

Company

hirify.global builds products that help people navigate buying, selling, financing, and renting homes.

What you will do

• Own and evolve the Product Development Acceleration solutions suite, delivering measurable impact across Product, Design, and Business teams.
• Partner with leadership to define, sequence, and operationalize the portfolio roadmap, including technical constraints, dependency mapping, and risk analysis.
• Translate strategic initiatives into structured technical programs with milestones, success criteria, risk mitigations, and cross-team dependencies.
• Act as a connective layer across Research, Product, Engineering, and Design to surface and mitigate technical, organizational, and dependency risks.
• Architect, build, and iterate AI-native internal tools using modern AI coding environments and agentic frameworks without dedicated engineering headcount.
• Drive adoption and durability by measuring usage, reliability, and learning impact metrics and iterating based on evidence.

Requirements

• Experience designing, building, and maintaining durable internal software systems used by business users.
• Strong technical fluency in applied AI and system design, with hands-on experience using modern AI coding environments (e.g., Replit, Claude Code) to prototype and scale solutions.
• Proven ability to lead complex, multi-stakeholder technical programs in high-ambiguity environments and influence without formal authority.
• Ability to independently lead and build in ambiguous environments, learning quickly to harness evolving AI capabilities.
• Data-driven approach using metrics, reliability indicators, and adoption signals to iteratively improve system performance and impact.
• Thoughtful approach to responsible AI and data governance, embedding safeguards into technical design.

Culture & Benefits

• Remote work with no permanent corporate office workplace; U.S. employees may live in any of the 50 states with limited exceptions.
• Base pay varies by location and includes eligibility for equity awards based on experience, performance, and location.
• Emphasis on evidence-based decision-making and building tools that integrate into everyday product development workflows.
• Focus on responsible AI practices and data privacy safeguards.

Hiring process

• Interviews to evaluate technical program leadership, AI/tooling experience, and ability to deliver in ambiguous environments.
• Discussion of cross-functional collaboration approach and how success will be measured (usage, reliability, learning impact).