Engineering Manager; In-person

About Provision

Provision is automating construction. We help contractors speed up their work, reduce risk, and eliminate errors that cost the industry more than $500B every year. We are building the most ambitious vision of what is possible with AI in construction, and we expect our engineering leaders to be AI‑forward in how they lead.

• Lead engineering execution across projects, teams, and priorities while staying close to the technical details that matter.
• Manage, coach, and unblock engineers through clear direction, high‑quality feedback, and a strong operating rhythm.
• Work with product and leadership to shape scope, make tradeoffs, and convert goals into delivery plans.
• Generate forecasting, capacity, and allocation plans across people, priorities, and timelines.
• Set and reinforce a high bar for quality, reliability, security, code review, testing, and production readiness.
• Use AI‑native workflows to improve engineering throughput, planning clarity, prototyping speed, and decision quality.
• Partner with machine learning engineers and product teams to build, evaluate, and operate AI‑powered product workflows that customers can trust.

• 5+ years of software development experience, or 7+ years of professional experience building software in lieu of a degree.
• 2+ years of experience leading, managing, or formally mentoring software engineers.
• Production full‑stack web application experience, with enough technical depth to evaluate architecture, code quality, delivery risk, and tradeoffs.
• Experience operating in modern software development workflows, including version control, CI/CD, code review, incident response, and release discipline.
• Practical proficiency with AI coding assistants, LLM‑based development workflows, or AI‑native tools.
• Strong judgment: you use AI to raise team throughput without outsourcing technical, management, validation, security, or maintainability decisions.

• You create leverage through others while staying credible on technical details.
• You bring structure, de‑risk work, and improve schedule predictability without creating unnecessary process.
• You communicate clearly across functions and handle disagreement constructively.
• You move quickly, say no when needed, and change course when new evidence appears.
• You believe proficiency with AI is now part of the craft of effective engineering leadership.