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Why this grade
This listing scored 73/100, which is a B. It lost the most ground on pay transparency.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
yc-startup vc-backed
Dill is revolutionizing payments, AR and trade credit for the $2T construction materials industry. Material suppliers, distributors, and wholesalers are some of the most important stakeholders in the construction industry but are often the last to get paid. These companies are the backbone of the US economy - they are the nexus of what gets built and what gets moved in this country. At Dill, we build products that help construction suppliers improve cash flow, reduce risk, operate more efficiently, and stay competitive. You’ll be joining a YC backed, fast-growing company with a second-time founder (previous exit in construction technology).
The Role
We are looking for an AI Engineer / Lead to help lead our AI & data function at Dill and help us build category-defining products. Your focus area will be building and scaling AI agents and features on a growing dataset in a way that makes the most sense for our industry. You’ll work with our engineering, design, and product teams to help shape the roadmap and drive real impact for our customers and this industry.
What You'll Do
- Build the AI & data systems that automate workflows like collections, credit decisioning, cash application, and more.
- Turn LLMs and agents into reliable, production-grade features, with the right evals and observability.
- Act as player-coach with our existing team of engineers.
- Write high-quality, clean and performant code.
- Have high autonomy, own things end to end, and project manage your own work.
What We're Looking For
- You have 3+ years experience building product features (demonstrating strong full-stack fundamentals) as well as building with modern ML or LLMs and evaluating output quality.
- You’ve led or played lead to a team of engineers.
- You are able to communicate technical solutions and tradeoffs clearly.
- You’ve worked at startups previously and get excited by solving ambiguous problems.
- You have a strong product sense and are able to quickly translate customer requirements into technical decisions in our codebase.
- (Bonus) You have experience with our tech stack (React, Firebase, PostgreSQL, GCP).
- (Bonus) Experience with infrastructure and systems architecture.
Apply for this role Opens ycombinator.com — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 06 Oct 2026 Y Combinator first sighting
Seen on 1 board over 0 days.