Technical Product Manager (Ads / AI Growth) β TPdM
π 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.
π― Key Responsibilities
1. AI Ads Product Strategy
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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
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Identify high-impact opportunities to improve core metrics such as ROAS, CAC, CTR, and conversion rate
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Translate growth and marketing needs into structured product and system requirements
2. Ads System & Technical Design
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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
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Understand and define end-to-end data flows: User events β tracking β data pipelines β modeling β optimization loops
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Evaluate trade-offs between performance, scalability, latency, and cost
3. AI-Driven Growth Products
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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
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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
π§© Requirements
Must-have:
- 3β7 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:
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Experience in performance marketing, growth, or ad-tech companies
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Familiarity with:
- Auction and bidding systems
- Recommendation or ranking systems
- Attribution models (last-click, multi-touch, incrementality)
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Exposure to AI/ML systems (especially LLMs or generative AI)
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Experience building 0β1 products in early-stage or fast-paced startup environments
π Nice to Have
- Experience building advertising automation or growth optimization tools
- Strong intuition for marketing funnels (impression β click β conversion β retention β LTV)
- Experience with generative AI systems for creative production
- Background in quantitative fields (Computer Science, Math, Statistics, Economics)
π§ 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