Engineering Team Lead - (Nepal Based, Fully Remote, Hands-On)
- Industry Other
- Category Other
- Location Kathmandu, Nepal
- Expiry date Aug 09, 2026 (5 days left)
Job 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.
- 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.
- 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.
- 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.