Group Product Manager, Ads Product & Platform

ServiceTitan is the operating system for the trades, and they are seeking a Group Product Manager to own their Ads product and platform. This role involves managing the ads platform lifecycle, leading AI strategies, and mentoring a team to drive significant impact in the advertising space.

Responsibilities:

• Own the full lifecycle of our ads platform: campaign management UI, budget pacing, creative management, and audience tooling
• Define the roadmap for ad tracking and measurement — from pixel/tag infrastructure to server-side event pipelines and clean-room integrations
• Drive multi-touch attribution strategy across paid search, LSA, display, and emerging AI-powered placements
• Architect integrations with Google Ads, Meta, Microsoft Advertising, and category-specific ad networks relevant to home services
• 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
• 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
• Stay ahead of the rapidly evolving landscape — Google AI Mode, ChatGPT search, Perplexity, and what they mean for local service discovery and attribution
• Define and own the measurement framework: ROAS, CPL, LTV-adjusted ROI, and incrementality testing across channels
• Build reporting surfaces that give our customers a single source of truth across organic and paid performance
• Partner with Data Engineering to ensure our event collection, identity resolution, and attribution models are privacy-compliant and future-proof
• Manage and mentor a PM team, including management of a senior PM. Set clear goals, run structured reviews, and grow their craft
• Partner daily with Engineering, Design, Data Science, and Go-To-Market to ship with quality and speed
• Represent Ads in executive reviews; translate complex technical trade-offs into crisp business narratives

Requirements:

• 8–10+ years of product management experience, with meaningful tenure in ads, martech, or performance marketing platforms
• Deep SaaS background; experience in vertical SaaS is strongly preferred — you understand the unique buying patterns, workflow complexity, and unit economics of industry-specific businesses
• Proven track record shipping sophisticated ads or marketing technology: campaign management, programmatic, attribution, or analytics products at scale
• Prior people management experience; you are a coach who makes PMs around you sharper
• 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 — how LLMs surface local businesses, what signals matter, and how to build products that help customers win in an AI-first discovery world
• Comfortable reading data pipelines, reviewing API specs, and translating between business requirements and technical implementation
• Strong quantitative instincts: you define success metrics before writing a PRD, and you know when a data set is telling you something real versus noise
• You are already disrupting the product you work on with AI — not experimenting with it someday, but shipping AI-driven capabilities today
• You hold strong opinions loosely: opinionated enough to drive alignment, humble enough to update your view when the data says otherwise
• You are drawn to domains undergoing rapid change and thrive when the map is incomplete
• You communicate clearly — in writing, in the room, and in code reviews — and you make complexity legible to any audience
• 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)