Engineering Director- AI Products

Actionstep•Denver, CO

4h•$200,000 - $225,000•Hybrid

About The Position

Actionstep is a SaaS company specializing in legal practice management software, with a global customer base of more than 30,000 and a team of over 300. The Engineering team develops, maintains, and operates the company’s software through cross-disciplinary squads of engineers, analysts, and product experts. The Engineering Director for AI Products leads several teams through their engineering managers and partners with a product lead and product managers. AI Products owns AI features in Actionstep products and platform capabilities including agents, open APIs and MCP, search, analytics, and workflow automation. The role is based in Denver, Colorado, in a hybrid environment, and leads teams across North America and Asia-Pacific. Actionstep builds with AI throughout the development lifecycle: engineers and product managers set direction, write specifications, and review and own shipped work, while AI agents perform much of the building and testing. The company emphasizes its development tooling and review process as a product, and measures delivery alongside quality. Its platform uses TypeScript services, React micro-frontends, a shared design system, and AWS across multiple regions. The role sets direction, standards, and priorities for a group of teams; develops engineering managers; turns the AI roadmap into production features; builds reliable shared platform capabilities; establishes responsible and cost-conscious AI practices; and advances AI-driven development across the group. Leading teams in multiple time zones may require some early or late calls. The position reports to the CTO.

Requirements

Director-level leadership experience leading multiple teams through engineering managers.
Experience shipping AI or agent features in a production SaaS product, including evaluation, permissions, observability, and cost management.
Experience leading adoption of AI-driven development in an engineering organization and demonstrating outcomes with data.
Personal use of AI coding tools and experience leading teams that build with them.
Experience building services and APIs relied on by internal teams and external developers.
Experience building software that handles confidential or regulated data.
Experience leading distributed teams across distant time zones.

Nice To Haves

Experience with search, data platforms, or workflow engines.
Experience with software for legal or other professional services.

Responsibilities

Lead multiple teams through engineering managers, setting direction, standards, and priorities and developing the managers who run the teams.
Work with product to turn the AI roadmap into production features used by customers, with permissions, privacy, and audit built in.
Ensure shared capabilities—including agents, APIs, search, data, and workflow—work reliably across Actionstep products.
Build evaluation, observability, and cost discipline into the design and operation of AI features.
Move teams onto the company’s AI development lifecycle and make delivery predictable.
Lead teams split across North America and Asia-Pacific, including some early or late calls.
Undertake other reasonable duties as required.
Raise hiring standards and coach and grow engineers and engineering managers.
Make sound decisions with incomplete information and adapt when data indicates a change is needed.
Explain technical trade-offs clearly to executives and non-technical colleagues, build trust across teams and time zones, and take ownership of quality and outcomes.