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 Responsibilities1. AI Ads Product StrategyDefine 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
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
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)
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
Skills Required
- 3-7 years of experience in Product Management, Engineering, Data Science, or Ads/Growth-related roles
- Strong understanding of digital advertising ecosystems
- Solid technical background (Computer Science, Engineering, or equivalent experience)
- Ability to reason about systems, data pipelines, and/or ML models
- Experience working closely with engineering teams on complex system-level products
What We Do
Hellyeah AI is an AI-native growth engine that accelerates marketing teams with autonomous digital workers. The company focuses on building reliable, scalable big data systems and AI-driven products, leveraging agentic frameworks and prompt engineering to influence business operations and decision-making. They empower engineers to think like founders, fostering a culture of autonomy, creative problem-solving, and high standards for technology and product design.
