Product Engineering Manager

Job Title: Product Engineering Manager

Location

Role Snapshot:

own the full engineering, testing, build, and release lifecycle

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: 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.

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.

Ideal Candidate Traits:

• 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.

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?

hiring@smart-analytica.com