Engineering Manager
Hiretruss
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
À propos
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
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Compétences linguistiques
- English
Avis aux utilisateurs
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