About Emergence AI

Emergence AI is a frontier agentic AI lab advancing safe, autonomous AI through its pioneering neuroformal architecture. We are building the next generation of enterprise AI: systems capable of understanding complex knowledge, reasoning across information, executing multi-step workflows, and taking action with the verifiability and reliability required for mission-critical environments.

Our Enterprise Agent Platform provides the foundation for building, deploying, and operating AI systems in production — from data connectivity and knowledge management to workflow orchestration, observability, evaluation, and governance. We partner with organizations in semiconductor manufacturing, life sciences, and other data-intensive industries to solve complex challenges that require trusted AI systems capable of operating in real-world environments.

Our team brings experience from leading AI research labs and technology companies, including IBM Research, The Allen Institute for AI, Amazon, and Broadcom. With headquarters in New York and offices across California, Spain, and India, we bring together diverse expertise and perspectives to tackle some of the most challenging problems in enterprise AI.

About the Role

Every few decades, the way software gets built changes completely. This is one of those moments, and we want you to lead it here.

At Emergence AI, agents already write most of our code. That has moved the hard part of engineering: deciding what's worth building, making intent precise enough for agents to execute, and proving the result is right without a person reading every line. Most companies are bolting agents onto processes designed for a world where people typed every line. We're redesigning how we build from first principles, and we want a leader who will make us one of the fastest engineering teams anywhere, without ever trading away trust.

Trust is the point. Our customers run AI in semiconductor fabs, labs, and other environments where mistakes are expensive, and our neuroformal approach exists so they can rely on what agents do. You'll hold how we build our own product to that same standard: move at the speed agents make possible, and prove it's right.

As VP, Engineering, you'll own delivery of our product end to end, lead and develop the people who build it, and shape the way we work. You won't inherit a playbook. You'll write it, build with agents yourself, and show the team what's possible. If you've been looking for the place where you can run engineering the way you know it should run now, this is it.

You'll

Ship, fast and continuously. Make daily delivery normal: working software reaching customers in small, verified increments, measured by what changes for them rather than by plans or activity.
Lead and develop people. Manage and grow a team of engineers. Set clear expectations, give candid feedback often, recognize great work, and hold a high bar for performance, acting quickly when it slips. Give every engineer a clear path to grow through stretch work, ownership of meaningful outcomes, pairing, and regular career conversations grounded in what they've shipped. Define what growth means when agents do the typing: product sense, judgment, and leverage.
Raise talent density. Hire exceptional, AI-native engineers and develop them fast. Help everyone on the team become dramatically more effective with agents and more product-minded, spread what works in the open, and celebrate outcomes over activity.
Write the playbook. Turn our engineering principles into how we work every day, keep evolving them as the tools change, and retire anything that no longer earns its place.
Turn strategy into something agents can execute. Translate our leadership charter and product direction into clear customer outcomes and success criteria that people and agents can act on and check automatically.
Tear out what slows us down. Find every place work waits (hand-offs, approvals, meetings, slow checks) and remove it. Replace process with automation wherever the risk allows.