Recruiter Hub
Forward-deployed AI product (Technical PM). Weekly shipping, guardrails, analytics-by-design.
NYC/NJ - H2 2026 (US work authorization expected, no sponsorship will be needed). Remote Europe OK (Norway/UK citizen).
Proof
- 42 minigames scoped, 5 shipped to date, weekly release cadence
- Testing with users (feedback captured and prioritised each cycle)
- 500+ lessons delivered in 2025 (curriculum, delivery, and iteration owned end to end)
- Built as a composable system with shared UI, scoring, difficulty, timing, and validation so new games ship faster and stay consistent
Work dossiers
How I work
- Define the outcome first: clarify the user problem, the success metric, and what “good” looks like before building
- Specs that reduce churn: constraints, acceptance criteria, edge cases, and non-goals documented up front
- Small batches: tight scope, short cycles, and fast loop-closure from feedback to backlog to ship
- Quality gates: QA checklist, regression checks, and reliability guardrails before release
- Measurement by default: tracking plan early, event instrumentation from the start, review funnels and cohorts so decisions are evidence-led
- Collaboration style: direct and calm, feedback-friendly, decisions written down, and trade-offs made explicit
Logistics
- NYC/NJ: planned relocation in H2 2026
- US work authorisation expected by H2 2026, planning for no sponsorship
- Europe: available for remote roles (Norway and UK citizen)
FAQ
Contact
Email: keerthikan@thirukkumar.com
LinkedIn: linkedin.com/in/kthirukkumar
Open to: AI PM / Technical PM / Implementation PM