Location : World Trade Center, Kharadi, Pune
Role Snapshot:
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.
Key Responsibilities:
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; in stil 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.
Must-Have Experience:
• 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.
You'll be a good fit if you:
• Were a cracked builder before the Al wave.
• Have Al fully embedded in your workflow but didn't need it to be great.
• Know how to use tools like Cursor, Claude Code, Google CLI, Windsurf, Replit, and Lovable —and push them to the limit.
• Can build entirely functional prototypes within 1-2 hours using AI tools.
• Have built products people use (and love).
• Care more about who you work with than what you work on.
• Ship fast, iterate faster, and value momentum over perfection.
• See coding as craft — performance, polish, and UX matter to you.
• Are allergic to bureaucracy and energized by ownership.
Why Smart Analytica?
• 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.
Ready to own the build button?Email your résumé to hiring@smart-analytica.com with subject “Product Engineering Manager –”<Your Name>”
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