Manager, AI Engineering - Analytics

We are looking for a player‑coach AI engineer who will lead a small team and shape the AI and data direction for our in‑product analytics and reporting experience. Responsibilities Write code, design systems, and review pull requests. Own critical paths and pair with engineers on the hardest parts of the product. Keep close to the codebase and the customer experience while the team scales. Set engineering quality standards through own work. Lead a small focused team, run 1:1s, give feedback, and hire as needed. Set goals, run management basics (performance, career growth, health) and partner with leadership. Define the technical direction for AI‑driven analytics and data foundation. Make pragmatic decisions across the stack from data modeling to agent design. Develop and maintain multi‑tenant data access patterns for customer‑scoped data at scale. Stay current on applied AI developments and bring relevant ideas to the team. Build natural‑language data experiences, grounding AI responses, ensuring accuracy and trust. Build evals, telemetry, and testing loops; establish eval‑driven development and metrics. Partner with product on scope, sequencing, and trade‑offs; ship iterative releases. Establish metrics that prove product value, instrument adoption, and learn from real usage. Qualifications 6+ years software engineering experience, 2+ focused on AI/ML or applied AI. At least one end‑to‑end AI system (agent/LLM) deployed to production. Hands‑on experience building and using evals to measure and improve AI quality. Strong SQL skills, experience with modern data warehouses, data modeling. Experience shipping production software on small teams and full stack. Track record of leading projects, mentoring engineers, and driving technical direction. Strong written and verbal communication. Bachelor’s degree in Computer Science, Engineering, or related field or equivalent experience. Bonus Qualifications Customer‑facing data product or embedded analytics experience. Experience with semantic modeling layers or modern BI infrastructure. Integrating AI agents with structured data sources. Background in compliance, security, GRC or regulated SaaS verticals. Prior tech lead or team lead experience. Experience at high‑growth SaaS companies. Benefits & Compensation Competitive base salary with a range of $197,800–$267,600. Stock equity to share in company growth. Maximum 100% employer‑paid premiums for medical, dental, and vision coverage for employees and dependents. 401(k) plan, life and disability insurance, tax‑advantaged accounts, and other financial benefits. Paid parental leave and fertility benefits. Generous development stipend and internal learning opportunities. Flexible vacation policy, paid holidays, and time‑off perks. Opportunities to contribute to a mission‑driven culture focused on trust, speed, and growth. #J-18808-Ljbffr Drata