Preql: Engineering Manager / Lead Engineer

CloudDevs; United States; Remote; USD 130,000 - 160,000; Full time

Job summary

CloudDevs in New York is seeking an Engineering Manager to lead and grow a core product engineering team. You will manage a small team of full-stack engineers while also contributing technically, focusing on data engineering and analytics.

Your role involves direct collaboration with the CTO and CEO, ensuring the technical quality and delivery of your team's projects while integrating innovative AI solutions. You should have extensive experience managing engineers and a strong understanding of AI tools.

Qualifications

• 7+ years of software engineering experience, including hands-on data engineering.
• Prior experience managing engineers (team lead, EM, or equivalent).
• Strong opinions on how to integrate AI tooling into engineering team practices.

Responsibilities

• Manage, mentor, and grow a team of 3-6 software engineers.
• Own team delivery, velocity, and technical quality.
• Architect data engineering pipelines.

Skills

Data engineering

Team management

Production experience with AWS

AI tooling integration

Tools

TypeScript

Python

Job description

About the Role

We’re looking for an Engineering Manager to lead our 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.

What You’ll Do

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 and Python, depending on product area), 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

Requirements

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

Nice to Have

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

What Makes This Role Special

You’ll be leading a team that supports how AI transforms enterprise data workflows. This includes expanding our existing tools and solutions, as well as creating entirely new interaction patterns between humans and data systems.

Impact: Your code will directly determine whether finance teams can trust AI with their most critical data

Innovation: Work at the cutting edge of agentic AI applied to real business problems