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Forward-deployed AI product (Technical PM). Weekly shipping, guardrails, analytics-by-design.

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NYC/NJ H2 2026 (US work authorization expected, no sponsorship). Remote Europe OK (Norway/UK citizen).

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Submission blurb (copy/paste):

Keerthikan “Ken” Thirukkumar — Forward-Deployed AI Product (Technical PM). Builds fast-cycle systems where strategy can change: ambiguity → spec → ship → instrument → iterate. Exam Bytes: 42 minigames scoped, 5 shipped (Sudoku, Statistics Trainer, Magic Maths, Pattern Ladder, Kakuro), weekly releases; built funnel + marketing pages + platform; games componentised into reusable primitives; guardrails for correctness/performance; analytics-by-design. Testing includes 3 families + 2 educator classrooms; product informed by 500+ lessons delivered in 2025. Logistics: NYC/NJ H2 2026; US work authorization expected (no sponsorship). Remote Europe OK (Norway/UK citizen).

Proof

42 minigames scoped; 5 shipped; weekly releases
Shipped: Sudoku · Statistics Trainer · Magic Maths · Pattern Ladder · Kakuro
Testing: 3 families + 2 educator classrooms
500+ lessons delivered in 2025
Built as a composable system (“lego bricks”), not one-off games

Work dossiers

Exam Bytes System Dossier
Funnel → onboarding → platform → modular components → instrumentation Agentic Delivery System Dossier
PRD/spec → guardrails → acceptance criteria → QA gate → weekly release

How I work

Specs first: constraints + acceptance criteria reduce back-and-forth
Small batches: short cycles, tight scope, fast loop-closure
Quality gates: guardrails + QA checklist before shipping
Measurement by default: instrument early so decisions aren’t opinions
Collaboration style: direct, calm, feedback-friendly; decisions documented

Logistics

NYC/NJ: relocating H2 2026; US work authorization expected (no sponsorship)
Europe: remote roles supported (Norway + UK citizen)

FAQ

Contact

Email: hello@keerthikan.com

LinkedIn: linkedin.com/in/kthirukkumar

Open to: AI PM / Technical PM / Implementation PM