Mandatory Skill Sets :

- 6 - 10 years of product experience, with at least 3 years on a B2B SaaS product sold to US customers

- Lived the 01 journey at a startup should have built something from early product-market fit chaos to a working, growing platform

- Shipped AI or AI-adjacent features in production not prototypes, not demos; real users, real data

- Technical enough to read code, reason about architecture, and hold engineering conversations without hand-holding

- Extreme ownership mentality : you don't wait for permission, you don't leave tickets open, you don't ship something you don't understand

- Ultra-organised : you can manage 50 open tickets, 3 competing priorities, and an urgent customer escalation without dropping the ball

Strong Indicator of Fit :

- Experience with B2B tech platforms or, compliance, security, or GRC products (a head start, not a must)

- Comfortable reading and writing code can pick up an existing codebase, understand how it's structured, and push minor features or fixes without needing to hand everything to an engineer

- Has worked with or led a team through a product overhaul on a live, production platform with real users

- Aspires to become a Director of Product within the next 2 years and wants to earn that by building, not by waiting

Roles & Responsibilities :

1. Own the Roadmap :

- Maintain a prioritised, clearly reasoned backlog every ticket has a 'why' tied to user value or business outcome

- Make scope decisions ruthlessly; cut 40% to execute 60% at high quality

- Track industry changes, trends and competitive moves on a live basis

2. Drive Engineering to Ship Right :

- Write PRDs that include wireframes, test cases, and explicit success criteria no ambiguity handed to engineers. This will also include working prototypes using vibe coding

- Get into the codebase and the existing repo; read code, understand constraints, and contribute to minor fixes

- Participate in daily standups (morning focus, evening wrap), review Jira hygiene, track progress, work with stakeholders, escalate and enforce quality gates

- No feature ships without you understanding the implementation details and test coverage

3. Establish Product Discipline :

- Sit with the customers and internal stakeholders on a rotating schedule two people per week, document every friction point

- Run bi-weekly 'break the product' sessions where the team stress-tests flows and logs findings to Jira

- Ensure product tools like Sentry, LogRocket, and PostHog are properly instrumented and that every engineer owns their own alerts

4. Lead AI Features :

- Drive the product side of GORICOs AI capabilities - knowledgebase, evidence validation, AI reviews, and the observability + evaluation layer

- Write clear AI feature specs that distinguish guardrails, evaluation criteria, and expected output

- Contribute to AI feature strategy with external experts