Senior Tech Product Manager

Hellyeah AI•San Francisco, CA

About The Position

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.

Requirements

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.

Nice To Haves

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.
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).

Responsibilities

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.
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.
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.
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.
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.