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.

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 Type Script), 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

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

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

• Career Growth
• Work with Modern Tech
• Remote‑Friendly Flexibility
• International Experience
• Pathway to U.S. Market Opportunities
• Stable, Growing Industry