You'll reshape how the org works day to day, leading senior engineers who build the runtime, frameworks, and patterns that let people across Finance, Operations, CX, Risk, Engineering, and beyond stand up always-on agents that work alongside them.
A day in the life and how you'll make an impact:
Partnering with leaders across Finance, Operations, CX, Risk, and Engineering to identify the agentic teammates that will most change how their teams work, then prioritizing your roadmap around the ones that will land
Working with your tech lead and ICs to shape the platform itself: what capabilities it exposes, which patterns it standardizes, where it stays opinionated vs. flexible.
Running adoption and education across Melio – documentation, workshops, office hours, success stories, and the unglamorous work of helping the second and third teams ramp up.
Owning a small portfolio of custom agentic workflows your team delivers for high-leverage use cases, proving the platform's value with real, in-production agents.
Measuring success in outcomes: teams actively using agentic teammates, work meaningfully shifted from humans to agents, and the rate at which new internal customers come online.
Qualifications:
4+ years managing engineering teams at scale, with a track record of shipping production AI or LLM-powered features.
Deeply technical and passionate about the AI landscape – LLMs, agents, evals, prompting, the trade-offs between frameworks.
Strong product instincts – you've worked closely with PMs, designers, and users, and you make calls about what to build based on outcomes, not output.
Experience driving org-wide adoption of a new technology – cloud migration, observability rollout, AI tooling, anything where the technical work was the easy part.
A bias toward adoption and measurable impact, energized by driving org-wide change in a space with no established playbook to inherit – you build the playbook.
Comfortable operating across technical and non-technical audiences; you can hold your own with engineers on architecture trade-offs and with Finance or Ops leaders on workflow change.
Bonus points:
You've built or led a platform team whose primary customers were non-engineers.
You've scaled LLM usage inside a company and have opinions about cost, governance, evals, and paved roads.
You teach, write, or speak publicly about engineering, AI, or platform work.
