Engineering Manager

Our customer is the agentic platform that powers trustworthy AI, analytics, and reporting. They help companies prepare, create, and use structured, reliable data by continuously cleaning, aligning, and contextualizing information from disparate systems—so analytics, copilots, and AI workflows deliver accurate results from day one.Their customers include media companies, media networks, retailers, and manufacturers who need reliable metrics and automated reporting. The company is backed by tier 1 venture firms and previous data company founders. WHAT WILL YOU WORK ON? We’re looking for an Engineering Manager to lead the core product engineering team. You’ll manage a small team of full-stack engineers while staying hands‑on with the codebase—roughly an even split between leadership and individual contribution. This role reports directly to both our CTO and CEO. Your work will focus on data engineering workloads, both AI‑powered and human‑powered, and the analytics and reporting platform. As we’re building an agentic data system, we expect you to bring experience shipping production systems with modern AI codegen tools (Claude Code, Codex CLI, or similar). Team growth is on the horizon—you may be building out additional headcount within 6 months. Leadership Manage, mentor, and grow a team of 3-6 software engineers (mostly full‑stack) Own team delivery, velocity, and technical quality Partner with CTO and CEO on roadmap, prioritization, and resourcing Build hiring pipelines as the team scales Ensuring systems of record (project tracking, code quality) continuously up‑to‑date Technical Write and review production (currently TypeScript), using spec‑and test‑driven development practices Architect data engineering pipelines that ingest, clean, and transform customer data Integrate AI codegen tools into team workflows and production systems Contribute to our agentic data cleaning and data layering features as they evolve WHAT SKILLS AND EXPERIENCE ARE WE LOOKING FOR? 7+ years of software engineering experience, including hands‑on data engineering Prior experience managing engineers (team lead, EM, or equivalent) Strong product awareness and demonstrated work around customer‑centricity Production experience with public‑cloud data services (AWS, Snowflake) or equivalent Strong opinions on how to integrate AI tooling into engineering team practices Availability during US Eastern working hours ARE THERE ANY OTHER REQUIREMENTS? Experience building analytics or BI platforms 0→1 Experience: Evidence of manifesting ideas into product Background in agentic AI systems or LLM‑powered automation Familiarity with data quality, transformation, or semantic layer tools Startup experience (Series A–B stage) Compliance Background: SOC 2, audit trail requirements, or regulatory data handling Requires 3-4 hours of overlap with US timezone Featured benefits: Career Growth Work with Modern Tech Remote‑Friendly Flexibility International Experience Pathway to U.S. Market Opportunities Stable, Growing Industry #J-18808-Ljbffr