Engineering Manager, AI Platform Enablement
Posted May 27 · 0 applicants
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The role in plain words
You will lead a small engineering team focused on building the runtime, frameworks, and patterns that enable different departments to deploy AI agents. Your day-to-day work involves collaborating with leaders across the company to identify high-leverage use cases, shaping the platform's technical capabilities with your team, and driving internal adoption through education and workshops.
- 4+ years managing engineering teams at scale
- Track record of shipping production AI or LLM-powered features
- Deeply technical with knowledge of LLMs, agents, evals, prompting, and framework trade-offs
- Strong product instincts and experience working closely with PMs, designers, and users
- Experience driving org-wide adoption of a new technology (e.g., cloud migration, observability, AI tooling)
- Experience building or leading a platform team whose primary customers were non-engineers
- Experience scaling LLM usage inside a company with opinions on cost, governance, evals, and paved roads
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced engineering managers with at least four years of leadership experience and a track record of shipping production AI or LLM-powered features. It is less ideal for those who prefer working in established environments with pre-existing playbooks or who lack experience driving org-wide technology adoption.
Full job description
Original listing · kept for referenceWe believe the next era of how a company operates is one where humans and always-on agents work side by side - and we're building the platform that gets Melio there. We're looking for an Engineering Manager to lead AI Platform Enablement: a small, high-leverage team that brings agentic teammates to every function at Melio. 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. 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 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 About the hiring department: The AI Platform Enablement team is Melio's bet that the next era of how a company operates is one where humans and always-on agents work side by side, and that getting there requires more than handing teams API keys. We build the platform that lets anyone at Melio - engineer or not - stand up an agentic teammate that does real work, persistently, alongside the humans it supports. We build custom agentic workflows for the use cases where the leverage is highest. And we own the harder half of the job: helping people across the company actually change how they work. We sit inside Backend Platform Engineering and partner closely with the Data & AI Infra team that owns model serving and infrastructure, with Data Apps on agentic data workflows, and with the company's AI Leads forum on direction. Our customers are everyone at Melio, which makes the work unusually broad and unusually impactful. About Melio: Melio, now part of Xero, is building the future of business payments for small businesses across America. Following our acquisition by Xero, the leading accounting software for small business, we're combining Melio's industry-leading bill pay solution with Xero's powerful accounting tools to transform how millions of small businesses manage their finances. As the fastest-growing B2B payment platform in the US, processing over $100B annually for more than 100,000 businesses, we're just getting started. Together with Xero, we're creating a seamless financial ecosystem that lets small business owners spend less time on back-office tasks and more time doing what they love. With offices in New York and Tel Aviv, Melio offers a vibrant, collaborative culture where your work directly impacts millions of small businesses. We're a diverse team of passionate individuals who believe in moving fast, thinking big, and building products that truly matter. If you're ready to help us dominate the US SMB market while being part of something transformative, we'd love to hear from you.
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 4+ years managing engineering teams at scale, Track record of shipping production AI or LLM-powered features, Deeply technical with knowledge of LLMs, agents, evals, prompting, and framework trade-offs, Strong product instincts and experience working closely with PMs, designers, and users, Experience driving org-wide adoption of a new technology (e.g., cloud migration, observability, AI tooling)