Headquarters: New York, NY
URL: https://preql.ai
Concerning the Function
We’re on the lookout for an Engineering Supervisor to steer our core product engineering workforce. You may handle a small workforce of full-stack engineers whereas staying hands-on with the codebase—roughly a good break up between management and particular person contribution. This position stories on to each our CTO and CEO.
Your work will concentrate on information engineering workloads, each AI-powered and human-powered, and the analytics and reporting platform. As we’re constructing an agentic information system, we anticipate you to carry expertise delivery manufacturing programs with trendy AI codegen instruments (Claude Code, Codex CLI, or related). Group development is on the horizon—chances are you’ll be constructing out further headcount inside 6 months.
What You’ll Do
Management
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Handle, mentor, and develop a workforce of 3-6 software program engineers (principally full-stack)
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Personal workforce supply, velocity, and technical high quality
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Accomplice with CTO and CEO on roadmap, prioritization, and resourcing
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Construct hiring pipelines because the workforce scales
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Making certain programs of report (mission monitoring, code high quality) repeatedly up-to-date
Technical
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Write and assessment manufacturing (presently TypeScript and Python, relying on product space), utilizing spec- and test-driven growth practices
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Architect information engineering pipelines that ingest, clear, and remodel buyer information
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Combine AI codegen instruments into workforce workflows and manufacturing programs
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Contribute to our agentic information cleansing and information layering options as they evolve
Necessities
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7+ years of software program engineering expertise, together with hands-on information engineering
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Prior expertise managing engineers (workforce lead, EM, or equal)
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Sturdy product consciousness and demonstrated work round customer-centricity
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Manufacturing expertise with public-cloud information providers (AWS, Snowflake) or equal
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Palms-on expertise utilizing CLI-forward AI codegen brokers (Claude Code, Codex CLI, Aider, or related) in manufacturing workflows
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Sturdy opinions on combine AI tooling into engineering workforce practices
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Availability throughout US Japanese working hours
Good to Have
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Expertise constructing analytics or BI platforms
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0→1 Expertise: Proof of manifesting concepts into product
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Background in agentic AI programs or LLM-powered automation
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Familiarity with information high quality, transformation, or semantic layer instruments
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Startup expertise (Sequence A–B stage)
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Compliance Background: SOC 2, audit path necessities, or regulatory information dealing with
What Makes This Function Particular
You’ll be main a workforce that helps how AI transforms enterprise information workflows. This consists of increasing our present instruments and options, in addition to creating fully new interplay patterns between people and information programs.
Impression: Your code will instantly decide whether or not finance groups can belief AI with their most important information
Innovation: Work on the chopping fringe of agentic AI utilized to actual enterprise issues
To use: https://weworkremotely.com/remote-jobs/preql-engineering-manager-lead-engineer
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