Jack & Jill

Software Engineer, Platform ($200k-$250k + Equity) at Duckbill

Jack & Jill

United States

Accepting Applications Full-time On-site LinkedIn
Posted 15 hours, 3 minutes ago 1 views 0 applications
Job Description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.

She will pick the best candidates from Jack's network.

The next step is to speak to Jack.

Job Title Software Engineer, Platform

Salary $200k-$250k + Equity

Company Description Duckbill is a $7.75M seed-funded San Francisco company backed by Heavybit and Uncork Capital, building Skyway to automate cloud cost management. Founded by domain experts with seven years of research, Duckbill provides the financial infrastructure used by AI labs and neoclouds to manage nine-figure infrastructure agreements.

Job Description Join a high-impact team building Skyway, a financial platform for AI-native companies managing massive infrastructure costs. You will architect data systems processing hundreds of millions of billing rows using Python and ClickHouse. As one of the first ten engineers, you will own the infrastructure transforming unstructured cloud agreements into precise, actionable financial data.

Location San Francisco, USA

Why this role is remarkable

  • Direct impact on $10M+ compute decisions for the world's leading AI labs and neoclouds through your data models and financial engines.
  • Backed by $7.75M from Heavybit and Uncork Capital with a massive competitive advantage derived from seven years of proprietary benchmark data.
  • Massive autonomy in an engineering team of six where you will make foundational technical decisions and ship code to production daily.

What You Will Do

  • Build and maintain streaming and batch data processing pipelines for hundreds of millions of rows using OTel, API pulls, and S3.
  • Develop the contract application engine that reconciles complex, unstructured cloud agreements with real-time consumption data for mission-critical financial accuracy.
  • Design multi-provider data models and partitioning strategies in ClickHouse to deliver sub-second performance on heavy analytical workloads for strategic finance leaders.

The ideal candidate

  • Strong professional experience building large-scale data systems using Python, SQL, and OLAP databases like ClickHouse, Snowflake, or DuckDB.
  • Deep understanding of ETL pipelines, lakehouse architectures, and the nuances of reconciling streaming versus batch data sources in high-precision environments.
  • Self-directed engineer who thrives in high-autonomy environments and maintains a fastidious approach to data quality when no clear spec exists.

Who are Jack \& Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

How does this work?

  • Jack's an AI agent for job searching and career coaching. He works for you.
  • Jill is the AI recruiter working for the company. She recruits from Jack's network.
  • If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.

We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.

Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.

We appreciate this can make them look a bit suspect, but there isn't much we can do about it.

Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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Jack & Jill
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