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#1 platform for early education
Director, AI Engineering
Location
United States
Posted
93 days ago
Salary
$215K - $303K / year
Seniority
Lead
Job Description
Director, AI Engineering
brightwheel
• Lead engineering teams that deliver AI-powered product and platform capabilities with clear impact. Reduce administrative toil, improve family responsiveness, streamline enrollment, and surface better insights for operators. • Build software that not only records information, but also recommends next steps, completes routine work, and automates meaningful parts of our customers’ day-to-day operations. • Use AI agents, automation, and modern tooling to improve how teams build, test, ship, and support software, increasing velocity and freeing up more capacity for high-value work. • Operate an AI hybrid engineering workforce in which engineers and agents work together effectively, with the tooling, guardrails, governance, evaluation, and observability required. • Apply the same AI-native mindset to internal functions like customer support and onboarding, helping the company become faster, more responsive, and more efficient as it scales. • Drive continuous improvements in quality, reliability, and security by using agentic workflows to catch issues earlier, reduce operational burden, and improve the product every week. • Hire and scale exceptional AI-native engineering talent, building a lean, high-performing organization with high standards, strong ownership, and a bias for action. • Make strong build-versus-buy, architecture, and platform decisions that balance short-term speed with long-term leverage and differentiation.
Job Requirements
- A strong computer science foundation. You have a 4-year computer science degree or equivalent depth in core computer science topics, with the technical grounding to reason well across systems, abstractions, and tradeoffs.
- A record of shipping battle-tested products at scale. You have helped deliver customer-facing software from pixels to metal, in either consumer or enterprise software. You have seen what it takes to make products succeed in real production environments with real customers and business stakes.
- Applied AI experience in production. You have used AI, automation, or machine learning in high-stakes environments, whether in customer-facing products, internal systems, or engineering workflows. You understand what it takes to make these systems useful, reliable, safe, and cost-effective.
- Experience leading through leaders. You have managed managers and senior engineers, building teams that consistently delivered meaningful product or platform outcomes in demanding, fast-paced environments.
Benefits
- Comprehensive medical, dental, and vision coverage
- Generous paid parental leave
- Flexible PTO so you can recharge when you need it
- Local retirement or savings plans (e.g., 401(k) in the U.S.)
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