Staff Product Manager, Content

Engine is looking for a Product Manager, Content to own the roadmap for how travel content is sourced, enriched, validated, and optimized across our platform. This role sits at the intersection of AI/ML, catalog quality, customer trust, and conversion across all of Engine’s travel verticals — hotels, cars, and flights.

You’ll define and lead a content strategy that leverages modern AI where it provides real leverage, while building scalable systems and pipelines that ensure our members see accurate, compelling, and decision-ready content at every step of their journey.

This is a high-impact product space with clear business levers: better content improves conversion, attach, retention, and customer satisfaction. You’ll bring structure to ambiguity, experiment thoughtfully, and partner deeply with Engineering, Data Science, Design, Supply, and Operations to build a content ecosystem that scales with Engine’s growth.

What You’ll Do

Own the Content Product Vision & Roadmap

• Set and drive a multi-quarter product strategy for Engine’s travel content ecosystem across hotels, cars, and flights — balancing quality, scale, speed, and business impact.
• Define what “great content” means at Engine (accuracy, completeness, freshness, relevance, and utility), and translate that into product requirements.
• Build a roadmap that blends AI-first automation with practical operational workflows where needed.
  
  

Build Content Systems

• Partner with Engineering and Data Science to introduce and evolve tooling across content workflows, such as:
• Attribute extraction and normalization from noisy sources
• Deduping, entity resolution, and catalog clustering
• Automated enrichment of missing or stale content
• Structured validation and exception handling for edge cases
• Design scalable pipelines that improve content coverage and quality across verticals, including source ingestion, transformation, storage, and delivery to product surfaces.
• Use experimentation and data-driven iteration to validate content improvements and prioritize the highest-value system enhancements.
  
  

Improve Conversion and Trust Through Better Content

• Influence key funnel and marketplace metrics tied to content (e.g., search-to-detail CTR, detail-to-book conversion, attach, bounce rate, cancellations/complaints driven by content mismatch).
• Identify high-impact content gaps and systematically close them through product, pipeline, and partner improvements.
• Ensure content is aligned with what we’re actually selling (inventory, policies, fees, restrictions, and attributes) to reduce downstream friction and surprises.
  
  

Deep Cross-Functional Leadership

• Work across Product, Engineering, Design, Data, Supply, and Content Ops to deliver end-to-end improvements.
• Create clear specs, success metrics, and launch plans; keep teams aligned through ambiguity.
• Influence stakeholders through data, crisp narrative, and strong product judgment.
  
  

What We’re Looking For

Core Qualifications

• 4–7+ years of Product Management experience, ideally in marketplaces, e-commerce, travel, fintech, or data-heavy domains.
• Proven ability to lead ambiguous, technical product areas from zero → one with real business impact.
• Strong analytical toolkit: comfortable querying data (SQL), defining KPIs, and using data to drive decisions.
• Experience working closely with Engineering and Data Science teams on integrated data products.
• Track record of shipping product improvements that moved measurable customer and/or revenue metrics.
  
  

You Might Be a Great Fit If You…

• Love messy datasets and see content quality as a solvable engineering + product problem
• Can go from strategy → PRD → launch → measurement → iteration quickly
• Think in systems, not one-off projects
• Are excited to use cutting-edge AI and automation to improve real-world customer decisions
• Are willing to experiment, learn fast, and push into undefined spaces
  
  

Nice to Have

• Prior experience with travel content, vertical catalog systems, or marketplace inventory products.
• Familiarity with large-scale data pipelines, automation, or ML-adjacent product surfaces.
• Experience using or building LLM-based tools in production.
  
  

Applications for this role will be accepted through April 21, 2026 or until the role is filled. We encourage you to apply early, as we may begin reviewing applications before the deadline.