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Senior Tech Product Manager

Hellyeah AI, San Francisco, CA, USA

Pay: 125.000 - 150.000

Job type: Full Time


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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