Senior Technical Product Manager

Remote

San Francisco (CA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Engine is hiring a Technical Product Manager to own core platform areas, working with partner engineering teams and internal product groups. You will drive the roadmap, translate customer needs into technical requirements, and measure success across adoption and reliability.

The role emphasizes deep technical collaboration, architecture discussion, and balancing foundational investments with current revenue goals. We value AI experience and a customer-first mindset.

Qualifications

  • 5+ years in product management.
  • Experience shipping AI/LLM-based tools or ML-adjacent products.
  • Ability to define metrics and guide product decisions.
  • Strong collaboration with engineering and business teams.

Responsibilities

  • Own platform end-to-end: shape strategy, roadmap, requirements, launch and adoption.
  • Define and measure success with clear metrics from adoption to reliability.
  • Lead with technical depth in architecture and tradeoffs for AI-enabled features.
  • Balance long-term platform investments with near-term customer outcomes.
  • Partner with data, product, and business teams to communicate value.

Skills

SQL
KPI definition
Experimentation
Systems thinking
AI experience
Travel/marketplaces/fintech background

Job description

About Engine

Engine is the AI-native platform for intelligent travel. For a decade, Engine has built the proprietary technology and supply behind modern business travel, serving over 40,000 customers and nearly 2 million travelers, along with leading travel and AI companies that build on Engine's infrastructure. One system powers business travel, group travel, human agents, and AI agents.

That work has earned recognition as one of Fast Company's Best Workplaces for Innovators (2025), TravelTech's Reservation Platform of the Year (2026), and one of Built In's Best Places to Work (2020-2026).

We're looking for bold, ambitious people to help redefine how businesses manage and experience travel. Working here, you can expect exponential growth, an ambitious pace, full ownership, and high-caliber colleagues who push you to do the best work of your career. Every hire raises the bar.

Come outpace the ordinary and build the future of travel with us.

Your Mission

As a Technical Product Manager at Engine, you'll own key parts of a platform at the core of how we operate. We're hiring across several teams, and you'll join one of them to help lead its area. Your customers include partner engineering teams, internal product teams, and the members who depend on what you build working every time. Here's what you'll take charge of:

  • Own your platform end to end: Shape the strategy and roadmap for your area, and take it from requirements through launch and adoption.

  • Define and measure success: Turn customer and partner needs into clear technical requirements, set the metrics that matter for your platform, from adoption to reliability, and use them to guide what you build next.

  • Lead with technical depth: Get into the details of architecture, APIs, and system tradeoffs, and find where AI can make your platform smarter or more reliable.

  • Balance long-term bets with near-term wins: Make hard prioritization calls between foundational platform investments and the customer and revenue outcomes the business needs now.

  • Partner across the business: Work with data, product, and business teams, and explain what your platform does and why it matters to both technical and non-technical audiences.

What You'll Bring to Engine

We're looking for someone who's ready to make an impact and grow alongside us:

  • Experience: 5+ years in product management. Background in travel, marketplaces, or fintech is a strong plus. We're hiring across levels and will match scope to your background.

  • Technical Depth: You understand how complex systems work and can go deep with engineers on architecture and tradeoffs.

  • Skills: You're a systems thinker with a sharp analytical toolkit (SQL, KPI definition, experimentation), and you can turn ambiguity into a crisp plan.

  • AI Experience: You've shipped LLM-based tools or ML-adjacent products in production.

  • Mindset: You have conviction, you can tell an engineer or a partner "no" and explain why, and you keep the end customer in view even when you're deep in the technical work.

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