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Open nowPosted 332 days ago

Senior Tech Product Manager

Hellyeah AI11 open roles

Where
San Francisco HQ
Work mode
On site
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Your applicationOpen nowSenior Tech Product ManagerHellyeah AI · San Francisco HQ

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The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Hellyeah AI postings stay open a median of 1 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.8%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.2%30 days
This job: posted 332 days ago

Hellyeah AI median: 1 days open

The posting

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, TikTok 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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