Engineering Manager

Hiretruss; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Career Growth

Work with Modern Tech

Remote-Friendly Flexibility

International Experience

Pathway to U.S. Market Opportunities

Stable, Growing Industry

Job summary

A technology firm in the United States is seeking an Engineering Manager to lead a core product engineering team. This role involves mentoring engineers while contributing hands-on to the codebase, primarily in TypeScript. Candidates should have at least 7 years of software engineering experience with a focus on data engineering, as well as experience in team management and AI integration. This position offers significant growth opportunities in a stable and growing industry, emphasizing customer-centric solutions.

Qualifications

• 7+ years of software engineering experience including hands-on data engineering.
• Prior experience managing engineers as team lead, EM, or equivalent.
• Strong product awareness and demonstrated customer-centricity.

Responsibilities

• Lead and mentor a team of 3-6 engineers while contributing to the codebase.
• Write and review production code, primarily in TypeScript.
• Architect data engineering pipelines for customer data handling.

Skills

Software engineering

Data engineering

Team management

AI tooling integration

Customer-centricity

Tools

AWS

Snowflake

TypeScript

Job description

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