Group Product Manager, Ads Product & Platform

ServiceTitan ServiceTitan · Enterprise · United States · Remote

Group Product Manager for Ads Product & Platform at ServiceTitan, focusing on AI-native features and AI Engine Optimization (AEO) for the trades industry. The role involves defining strategy and shipping AI capabilities within the ads platform, including predictive bidding, AI-generated ad copy, and automated campaign health scoring, to help businesses discover and retain customers through paid media.

What you'd actually do

  1. Lead ServiceTitan’s AEO (AI Engine Optimization) strategy — helping our customers be discovered and recommended by AI-powered search engines, voice assistants, and LLM-driven referral surfaces.
  2. Identify and ship AI-native capabilities within the ads platform: predictive bid optimization, AI-generated ad copy, smart budget allocation, and automated campaign health scoring.
  3. Own the full lifecycle of our ads platform: campaign management UI, budget pacing, creative management, and audience tooling.
  4. Define the roadmap for ad tracking and measurement — from pixel/tag infrastructure to server-side event pipelines and clean-room integrations.
  5. Manage and mentor a PM team, including management of a senior PM. Set clear goals, run structured reviews, and grow their craft.

Skills

Required

  • 8–10+ years of product management experience
  • meaningful tenure in ads, martech, or performance marketing platforms
  • Deep SaaS background
  • Proven track record shipping sophisticated ads or marketing technology: campaign management, programmatic, attribution, or analytics products at scale.
  • Prior people management experience
  • Expert-level fluency in the current digital advertising landscape: Google Ads (search, PMax, LSA), Meta, programmatic display, and the attribution ecosystem (GA4, third-party MMPs, server-side tagging).
  • Hands-on familiarity with AI Engine Optimization concepts
  • Comfortable reading data pipelines, reviewing API specs, and translating between business requirements and technical implementation.
  • Strong quantitative instincts

Nice to have

  • experience in vertical SaaS
  • experience in home services, field services, or adjacent trades verticals.
  • Familiarity with Local Services Ads (LSA) and Google Guarantee / screened provider programs.
  • Background in building advertiser-facing analytics or reporting products.
  • Experience working with clean rooms (Google ADH, AWS Clean Rooms) or privacy-preserving measurement frameworks.
  • Prior experience at a company that monetizes through an ads marketplace (two-sided platform).

What the JD emphasized

  • AI-native features
  • AI Engine Optimization (AEO)
  • AI-powered search engines
  • LLM-driven referral surfaces
  • predictive bid optimization
  • AI-generated ad copy
  • automated campaign health scoring
  • AI Engine Optimization concepts
  • shipping AI-driven capabilities today

Other signals

  • AI-native features
  • AI Engine Optimization (AEO)
  • predictive bid optimization
  • AI-generated ad copy
  • automated campaign health scoring
  • LLM-driven referral surfaces