Product Manager (AI-First) — Social Video & Commerce Media Infrastructure

About Genuin

Genuin is a social video experience infrastructure. Our white-label platform embeds directly into a brand's own site or app, so businesses can grow brand-owned communities and drive

engagement, loyalty and revenue with personalized, shoppable vertical video across every

channel they own and operate.

Genuin has eight products, all run by a governed AI layer we call Supervised Intelligence:

1. Onsite grows a customer's owned-and-operated (O&O) properties, placing and ranking video for every viewer.
2. Offsite extends O&O inventory to partner pages and media plans.
3. Monetize earns more margin on every impression across the O&O.
4. Network shares a customer's video across partner sites and apps, and runs theirs in return.
5. Controls sets permissions, decides which content runs, and determines how buyers see inventory.
6. Studio turns podcasts, shows and catalogs into video in every size.
7. Supervised Intelligence runs every product on the customer's own rules and picks the right model for each task.
8. Marketplace lets customers add AI capabilities, tools and models, or publish their own.

Octo, our Supervised Intelligence interface, operates each Business Account. It drafts every

step of a customer's launch from their website and brand context. Octo proposes, and the

customer approves. We're building a world where AI operates the business and humans

supervise it.

The role

We're looking for an AI-first Product Manager. At Genuin, product isn't designed as screens that people click through and then "enhanced" with AI. It's designed as agents that do the work, with humans setting goals, rules and approvals. You'll own one or more of our products end to end and rethink each workflow from first principles: what should an agent do here, what should a person approve, and how does the system learn?

You'll bring 5–10 years of product experience in media, marketing or ad tech, an engineering

background, and real, hands-on experience building with AI. You use AI every day to research, write, analyze and prototype, and you have shipped agentic systems, not just talked about them. You'll work from our Ahmedabad office with Engineering, Design and Ops, and closely with Genuin leadership and US customers.

What you'll do

1. Design products as agentic systems. For every workflow, from launching a media network and publishing a brand community to selling packages and reporting results, define what agents do on their own, what Octo proposes, what people approve, and where humans stay in the loop.
2. Own the agent architecture with Engineering. Decide on agent roles, tools and handoffs, memory and context, model selection per task, and how agents call Genuin APIs, SDKs and partner systems through tools and protocols such as MCP and AdCP.
3. Write AI-native specs. Go beyond user stories: define agent goals, tool contracts, guardrails, failure modes, fallback paths, approval points and evaluation criteria.
4. Build evals and quality loops. Define what "good" means for every agent output, set up evaluation datasets and scorecards, and track accuracy, cost, latency and approval rates alongside business metrics.
5. Make Supervised Intelligence trustworthy. Design how agents apply each customer's rules, brand guidelines, partner rules and policies, and how Controls keeps humans in charge of permissions, content and inventory.
6. Prototype with AI first, every time. Use tools like Claude Code, Cursor and Figma to build working prototypes and agents yourself, and validate them with customers before committing engineering time.
7. Run your own work AI-first. Use AI for customer research synthesis, competitive analysis, data analysis, PRD drafts and release notes, and build reusable agents and workflows the whole team can use.
8. Build for agentic commerce and media. Shape how buyer agents discover and buy Genuin packages, how brands distribute their own agents across the network, and how Genuin works with GAM/AdX, Prebid, SSPs and DSPs, VAST video and IAB standards.
9. Own outcomes. Tie every agent to engagement, watch time, fill, CPM, attribution and revenue, using analytics pipelines such as SDK callbacks, BigQuery, Mixpanel and S3.
10. Grow the Marketplace. Define how customers and partners add AI capabilities, tools and models, or publish their own agents to Genuin Marketplace.
11. Lead the team in Ahmedabad. Run sprint planning, reviews and launches with Engineering and Design, and help the team adopt AI-first ways of building.
12. Stay close to customers. Talk to publishers, media networks, brands and retailers, and turn what you hear, and what the data shows, into priorities.

What you must bring

1. 5–10 years of experience, including at least 3 years as a Product Manager at a media, marketing technology or ad tech company.
2. An engineering background: a degree in Computer Science, IT or Electronics, or prior experience as a software engineer.
3. Shipped agentic products. You have taken at least one LLM-powered or agentic product or feature from idea to production, and you can explain the architecture, the evals and what you learned.
4. Hands-on with AI building tools. You can build working prototypes and simple agents yourself with tools like Claude Code, Cursor, LLM APIs, MCP servers, or agent frameworks such as LangGraph or the OpenAI/Anthropic Agents SDKs.
5. Fluency in AI system design: prompting and context engineering, tool use and function calling, retrieval (RAG), multi-agent orchestration, human-in-the-loop design, evals, guardrails, and cost and latency tradeoffs.
6. AI in your daily workflow. You already use AI for research, writing, analysis and prototyping, and you can show us how.
7. Hands-on domain knowledge of digital advertising and media: programmatic (DSPs, SSPs, ad servers, header bidding, OpenRTB), video and VAST, publisher monetization, audience data and measurement. Technical depth to read APIs, discuss system design with engineers, and query data in SQL yourself.
8. Excellent written and spoken English, and the ability to explain complex AI systems simply to engineers, customers and leadership.
9. Ready to relocate to Ahmedabad and work on-site with the team, with some overlap with US Eastern time for customer and leadership calls.

Nice to have

1. Experience with agent-to-agent protocols such as AdCP or A2A, or with agentic commerce.
2. Experience with social video, creator or UGC platforms, CTV/OTT, or retail and commerce media.
3. Experience fine-tuning or evaluating models, or with AI cost optimization at scale.
4. Experience building developer-facing products and documentation.

Why Genuin

1. Build AI-operated products from the ground up, not AI bolted onto old software.
2. Work directly with major US media brands and with Genuin leadership.
3. Real ownership: your agents, your roadmap, your metrics.
4. A founding-team role in our Ahmedabad office, with competitive compensation, benefits and relocation support.

How to apply

Send your resume to [jobs@begenuin.com] with the subject line "AI-First Product Manager –

Ahmedabad". Include:

1. A short note on an AI or agentic product you shipped: what the agents did, how you evaluated them, and the metric it moved.
2. A link to something you built yourself with AI, such as a working prototype, agent, GitHub repo or short screen recording.