Summary
✨ AI‑Generated
A seasoned engineering leader is invited to helm a small, high‑caliber team in a dynamic, remote setting. The role blends deep technical involvement with strategic direction, overseeing code quality, scaling decisions, and talent development. The candidate will shape the product’s architecture, drive feature delivery, and nurture a culture of rapid iteration.
Highlights
Fully remote, hands‑on leadership role with direct ownership of product architecture, codebase, and team growth in a fast‑moving startup environment.
Description
We're hiring a hands-on Engineering Team Lead to own the technical build and lead the engineering team as we scale.
This is not a pure people-management role — you'll be in the codebase most days, making architecture calls, shipping features, and reviewing code, while also setting technical direction, hiring, and growing a small, high-caliber engineering team under you.
You'll report directly to the founder and have real ownership over how the product is built, not just what gets built.
What You'll Do
Write production code regularly — this is a hands-on lead role, not a management-only position.Own the technical architecture for a governed, agent-operable workflow system: workflow state, approvals, integrations, signer flows, audit trails, and the APIs/MCP surface that AI agents and clients call.Lead, mentor, and grow the engineering team — set technical standards, run code reviews, unblock people, and make the team better at shipping.Make build-vs-buy and scaling decisions as usage grows — you've done this before and know where the real risk is.Partner closely with the product on roadmap, sequencing, and trade-offs, translating business priorities into technical plans.Build a culture where AI coding tools (Claude Code, Cursor, Copilot, or similar) are used deliberately as a force multiplier across the team, not just individually.Own production reliability, on-call structure, and incident response as the team and system grow.
What We're Looking For
Super senior, hands-on engineer — 8+ years building and shipping production software, with real depth, not just breadth.Proven SaaS product experience — you've built and operated a real multi-tenant SaaS product end to end, not just a feature inside one.Scale experience — you've taken a system through real growth (traffic, data volume, or team size) and can speak concretely to what broke, what you changed, and why.Genuine AI coding experience — you use AI coding tools as a core part of how you build software today, and you have a point of view on how to get a team using them well, safely, and productively.Leadership experience — you've led an engineering team before, ideally in a lead role where you stayed technical rather than moving fully into management.Comfortable with the ambiguity and pace of an early-stage product — priorities shift, and you help bring clarity rather than waiting for it.Strong written communication — as a remote, distributed team, how you document decisions and communicate async matters as much as your code.
Nice to Have
Experience with workflow orchestration, document generation, eSignature, or approval systems.Experience building against or integrating with the Model Context Protocol (MCP) or similar agent-tooling standards.Previous 0-to-1 or early-stage startup experience, where you were one of the first engineering hires.Experience hiring and building out a team from a small base.
What We Offer
Fully remote — work from anywhere in Nepal, on a schedule that works for deep, focused engineering work.Real ownership — you'll shape the architecture, the team, and the technical culture, not inherit someone else's decisions.A small, senior team where your work is directly visible in what ships.Competitive compensation based on experience.