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Product Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: AdsGency AI
Full Time position
Listed on 2026-09-12
Job specializations:
  • Business
    AI Business & Operations
  • IT/Tech
    Digital Marketing, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below

Company: Ads Gency AI

Relocation to San Francisco City Required

Applicants must be permanently authorized to work in the United States without current or future employer-sponsored visa support.

We’re Ads Gency AI — an AI-native startup building a multi-agent automation layer for digital advertising.

Our platform uses LLM agents to autonomously launch, optimize, and scale ad campaigns across Google, Meta, Tik Tok, and beyond — eliminating the need for human campaign management.

Our mission:
build the operating system where AI runs performance marketing better than humans ever could.

We’re backed by top-tier investors and scaling rapidly. Now we’re looking for a Product Manager who deeply understands adtech, automation, and growth systems to help us shape the next evolution of Ads Gency OS.

The Role – Product Manager (AdTech)

As a Product Manager at Ads Gency AI
, you’ll sit at the intersection of AI, advertising, and user experience. You’ll translate market insights, customer needs, and internal experiments into elegant, fast-moving product decisions.

You’ll work directly with the founders, engineers, and customer success teams to design agent workflows that automate everything from media buying to creative optimization — and make it all feel effortless for the user.

This is a 0→1 role where you’ll define how AI reimagines the future of advertising infrastructure.

What You’ll Do
  • Define Product

    Roadmap:

    Shape the roadmap for Ads Gency’s AI automation layer — campaign agents, analytics dashboards, and creative workflows.
  • Deep Dive into AdTech: Understand ad platform APIs (Google Ads, Meta, Tik Tok), auction dynamics, and optimization levers to inform product strategy.
  • Collaborate with Engineering: Partner with LLM and full-stack engineers to design agent tools, feedback loops, and decision interfaces.
  • Own the User

    Experience:

    Work closely with design to simplify complex systems into intuitive UX — from setup to insight visualization.
  • Launch & Iterate: Ship MVPs fast, collect real user feedback, and refine iteratively with data.
  • Customer Insight Loop: Work with Customer Success to uncover high-impact needs from real advertisers and integrate them into the product.
  • Measure What Matters: Define KPIs for agent performance, user adoption, and campaign ROI.
What You Bring
  • 3–6 years of experience in Product Management, ideally in AdTech, Mar Tech, or SaaS
  • Deep understanding of digital advertising ecosystems — media buying, attribution, and optimization logic
  • Prior work in early-stage startups or as founding product manager
  • A “builder” mindset — fast, detail-oriented, and allergic to over-engineering
  • Startup DNA: you debug, iterate, and ship with speed and ownership
  • Proven track record of taking complex technical products from concept → launch → scale
  • Data-driven and metrics-obsessed — you think in funnels, LTV, and ROAS
  • Strong communication and storytelling — you can explain an API feature to engineers and its ROI to executives
  • Passion for AI, automation, and redefining how marketing teams operate
  • Experience integrating with ad APIs (Google Ads, Meta, Tik Tok, DSPs)
  • Technical background (engineering, data, or computer science)
  • Familiarity with LLM frameworks (Lang Chain, Auto Gen, CrewAI)
  • You’ve built internal or external tools for marketers or data analysts
  • Experience at early-stage startups or high-velocity teams
  • Visionary mindset — you see where the ad industry is heading and want to build it
  • Competitive salary + meaningful equity
  • Core ownership in one of the fastest-growing AI AdTech platforms
  • Build alongside engineers and founders who ship fast and think deeply
  • A product-driven, low-bureaucracy environment — where ideas become features in days
  • Work in the heart of San Francisco’s AI ecosystem
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