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Senior Tech Product Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Hellyeah AI Inc.
Full Time position
Listed on 2026-08-12
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Digital Marketing
Salary/Wage Range or Industry Benchmark: 130000 - 210000 USD Yearly USD 130000.00 210000.00 YEAR
Job Description & How to Apply Below

Technical Product Manager (Ads / AI Growth) — TPdM Role Overview

We are looking for a Technical Product Manager (TPM) to lead the development of AI-powered advertising and growth products.

You will sit at the intersection of AI systems, advertising platforms, and performance growth
, translating complex ad-tech and data problems into scalable product and system solutions that directly impact revenue and marketing performance.

This role requires a strong combination of product thinking, technical depth, and understanding of digital advertising systems
.

Key Responsibilities 1. AI Ads Product Strategy
  • Define the product strategy for AI-driven advertising systems, including:
    • AI-generated ad creatives (copy, image, video)
    • Automated campaign optimisation
    • Audience targeting and personalisation systems
  • Identify high-impact opportunities to improve core metrics such as ROAS, CAC, CTR, and conversion rate
  • Translate growth and marketing needs into structured product and system requirements
2. Ads System & Technical Design
  • Work closely with engineering teams on the design of core advertising systems, including:
    • Ad ranking and recommendation systems
    • Bidding and budget allocation mechanisms
    • Attribution and measurement models
  • Understand and define end-to-end data flows:
    User events → tracking → data pipelines → modeling → optimization loops
  • Evaluate trade-offs between performance, scalability, latency, and cost
3. AI-Driven Growth Products
  • Build and scale AI-powered advertising products, such as:
    • Automated creative generation systems (text/image/video)
    • Campaign optimization agents (budget, bidding, targeting)
    • Intelligent decision-making systems for ad performance improvement
  • Design feedback loops between model outputs and real-world advertising performance
4. Cross-functional Execution
  • Partner closely with engineering, data science, and growth teams to deliver high-impact products
  • Write PRDs, technical specifications, and define clear success metrics
  • Drive execution across multiple stakeholders in a fast-paced, iterative environment
5. Data & Experimentation
  • Design A/B testing frameworks to evaluate ad performance and product impact
  • Use data to guide product iteration and decision-making
  • Define and track key metrics such as ROAS, LTV, CAC, funnel conversion rates
Requirements Must-have:
  • 3–7 years of experience in Product Management, Engineering, Data Science, or Ads/Growth-related roles
  • Strong understanding of digital advertising ecosystems (Meta Ads, Google Ads, Tik Tok Ads, etc.)
  • Solid technical background (Computer Science, Engineering, or equivalent hands-on experience)
  • Ability to reason about systems, data pipelines, and/or ML models
  • Experience working closely with engineering teams on complex system-level products
Preferred:
  • Experience in performance marketing, growth, or ad-tech companies
  • Familiarity with:
    • Auction and bidding systems
    • Recommendation or ranking systems
    • Attribution models (last-click, multi-touch, incrementality)
  • Exposure to AI/ML systems (especially LLMs or generative AI)
  • Experience building 0→1 products in early-stage or fast-paced startup environments
Nice to Have
  • Experience building advertising automation or growth optimization tools
  • Strong intuition for marketing funnels (impression → click → conversion → retention → LTV)
  • Experience with generative AI systems for creative production
  • Background in quantitative fields (Computer Science, Math, Statistics, Economics)
What This Role Is Not
  • Not a purely marketing or growth operations role without technical depth
  • Not a Technical Program Manager focused only on execution and timelines
  • Not a pure engineering role without product ownership and decision-making responsibility
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Position Requirements
10+ Years work experience
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