Career
You’ll be the “chief builder” who turns a set of working feature prototypes into a cohesive,
shippable product. Beyond guiding architecture, you will own the full engineering, testing,
build, and release lifecycle—from branch strategy and CI/CD pipelines to demo-ready
builds. Expect to roll up your sleeves, dive into code or Docker files when needed, and keep
a close pulse on every sprint deliverable until the demo goes live.
• Product-engineering leadership – translate the AI-driven IDE vision into actionable
roadmaps, sprint goals, and acceptance criteria; focus and prioritise what ships next.
• Own the release pipeline end-to-end – branch strategy, CI/CD, automated testing,
versioned builds, and demo-day readiness.
• Hands-on development – pair-program, review PRs, and jump into critical-path code
(TypeScript/Node, Go/Rust, or Python) whenever the team is blocked.
• Coach & unblock the team – micro-manage 6-10 engineers until velocity feels
effortless; instil clear “definition of done” and code-quality gates.
• Embed AI in the workflow – push AI coding tools / IDE to their limits; wire LLM
services into new features.
• Drive a “ship-fast, iterate-faster” culture – short sprints, clean merges, nightly builds,
zero demo-day surprises.
• Sweat the details – performance, polish, and great UX in every release.
• 8–12 yrs engineering, with 3+ yrs leading product teams for SaaS, IDE plugins, or
dev-tool startups.
• Expert in Git flow and conflict resolution.
• Hands-on with modern CI/CD (GitHub Actions / GitLab CI / Azure Pipelines) for
cross-platform desktop or VS Code extension builds.
• End-to-end test strategy ownership (unit → integration → Playwright/Cypress).
• Strong coding skills in TS/JS plus one systems language (Go, Rust, or C++).
• Comfortable running local or hosted LLMs and wiring them into product features.
• Cracked builder pre-AI who now wields AI tools without relying on them.
• Proven record shipping products users love, not just PoCs.
• Momentum over perfection – continuous small wins trump “big-bang” launches.
• Energised by ownership, allergic to bureaucracy – rigorous on “definition of
done,” flexible on process.
• Cares deeply about craft and teammates.
• Green-field canvas: define the DNA of a next-gen AI coding platform.
• Hands-on freedom: founders expect you to lead and code.
• Tight-knit team: builders who care about craft, speed, and each other.
Email your résumé to hiring@smart-analytica.com with subject “Product Engineering
Manager – <Your Name>”
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