Director of Engineering - AI Control Tower

Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, Service Now is the AI control tower for business reinvention.

Our Service Now AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500 work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

Job Description

The Role The AI Control Tower is Service Now's central hub for governing every AI model, agent, and dataset across the enterprise. We're building the infrastructure that enterprises will depend on as agentic AI moves from experiment to production — and we need a Director of Engineering who has been in that position before: shipping a 1.0 product, fighting for its first users, and figuring out how to turn early traction into durable adoption.

This isn't a role for someone who has managed mature systems. It's for someone who has built something from scratch — in a small, fast company where there was no playbook — and who is now ready to do it at the scale and ambition of Service Now. Reporting to the VP of Engineering, AICT, you will lead one or more product areas within the AICT platform, with scope and ownership evolving as the product and team grow.

You are AI-native. You don't just understand AI conceptually — you use it daily, you build with it, and you bring that instinct into how your team designs and ships.

What You Will Do Product Delivery & Roadmap Execution Own the engineering roadmap for your AICT product areas — translating product requirements into technical plans, managing delivery across a focused engineering team, and maintaining the velocity needed to meet the demands of a fast-moving market. You have done this before and know the difference between motion and progress. 1.0 to Adoption Drive the full arc from early release to meaningful customer adoption.

You understand that shipping a 1.0 is only half the job — the other half is learning fast, iterating based on what real customers do (not what they say), and building the feedback loops that compound adoption over time. AI-Native Engineering Set the standard for how your team uses AI in its own development practice — from AI-assisted code review and testing to designing platform features that assume AI agents are first-class users.

You lead by example: your team should see you using AI tools as fluently as you use a terminal. Team Building Recruit, develop, and retain a high-performing engineering team. You are a strong technical voice who can also grow engineers — you give clear feedback, create stretch opportunities, and build the kind of team culture that makes people want to stay and do their best work.

Cross-Functional Execution Work closely with Product Management, Design, and partner engineering teams to align dependencies and ship coherent experiences. Represent engineering in planning and review forums with senior leadership. Qualifications Required 10+ years in software engineering with 4+ years leading engineering teams (as a manager of managers or strong senior manager) Demonstrable startup experience at a company with fewer than 100 employees, where you were hands-on building and shipping a product — not just working at a startup, but building one Proven experience driving adoption of a 1.0 or early-stage product: you have the scars from a launch that didn't go perfectly and the wins from figuring out how to turn it around Deep…