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Product Owner - Revenue Systems

primexbtRemote · Posted 4 months ago
Full-timeRemote
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Description

Team: Revenue Operations
Reports to: Chief Revenue Officer
Location: Remote
Type: Full-time

The Role

You'll be Product Owner across three surfaces:

  • CRM — platform, data model, permissions, lifecycle automation.
  • Partner Product — the cabinet, dashboards, payout logic, and tooling our IBs, affiliates, and KOLs live in.
  • Marketing Enablement — lifecycle stack, AI agents, and the internal tools BD/AM run on.

You own the roadmap, backlog, specs, and outcomes with a simple goal in view - to grow revenue.

We want a disruptor. Someone who sees a 14-step nurture sequence and asks why an agent isn't running it. Someone comfortable in a product review with engineers and a funnel economics conversation with the CEO.

What You'll Do 🛠

CRM

  • Lead the new CRM rollout and adoption across BD, Partnerships, AM, Marketing, Compliance, Support.
  • Own the data model, permissions, and the pipe from platform → warehouse → CRM → activation.

Partner Product

  • Own the IB/affiliate/KOL product experience end-to-end.
  • Translate partner and BD feedback into a prioritised backlog; ship with engineering.
  • Build the partner journeys, onboarding, activation, tiering, qualification that turn signups into revenue.

Revenue org Enablement & AI

  • Ship AI auto-funnels: agents that score, personalise, route, draft, and hand off.
  • Embed AI into daily BD/AM work: prospect intelligence, meeting prep, auto-logged notes, next-best-action, call QA.
  • Support Acquisition and Retention teams with setting up funnels across email, in-app, SMS, push.

Always

  • Test, measure, kill what doesn't work.
  • Report ROI clearly. Iterate.

What We're Looking For 🪄

Must-haves

  • Product ownership experience with a track record.
  • Experience in CRM integration/management (Salesforce, HubSpot, Zoho, Zendesk, Customer.io, Braze, or similar).
  • Experience in shipping funnels that actually convert.
  • Hands-on with AI in a revenue context: LLM APIs, agents, prompt engineering, AI-powered outbound.
  • Strong with Dev, Data, Marketing, Sales. Translates well between them.
  • Analytical. Reads cohorts and retention curves, not just reports.

Bonus points for

  • Owning a partner/IB/affiliate product before.
  • Shipped AI agents on top of a CRM (scoring, outreach, research, QA).
  • Tools: n8n, Make, Zapier Agents, Clay, Apollo, Smartlead, HeyReach, Retell, Bland.
  • Fintech, crypto, brokerage, iGaming, or other regulated, affiliate-heavy verticals.
  • RAG, vector DBs, internal knowledge agents.
  • A portfolio that shows what you've built, not just where you've worked.




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