Engineering Manager
16 hours ago
Highlight
OnsiteFull-timeSenior
Summary
Preql AI is seeking an Engineering Manager to lead their core product engineering team in New York, NY. The role involves managing a team of full-stack engineers while contributing to the codebase, focusing on data engineering workloads and analytics.
About the Role
As an Engineering Manager, you will manage, mentor, and grow a team of 3-6 software engineers, ensuring team delivery and technical quality. You will partner with the CTO and CEO on roadmap and prioritization, write and review production code in TypeScript and Python, and architect data engineering pipelines. The role also involves integrating AI codegen tools into workflows and contributing to data cleaning and layering features.
About You
Required:
- 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.
- Hands-on experience using CLI-forward AI codegen agents (Claude Code, Codex CLI, Aider, or similar) in production workflows.
- Strong opinions on how to integrate AI tooling into engineering team practices.
- Availability during US Eastern working hours.
Preferred:
- Experience building analytics or BI platforms.
- 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.
Preql
Preql is the AI-powered data platform built for modern finance teams. It unifies financial and operational data, automates reconciliation, and delivers clean, reliable reporting—without needing engineers or ripping out your ERP stack. Preql makes it simple to answer critical questions about profitability and performance across teams, products, or markets, all from a single source of truth your whole company can trust.
New York, NY