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Why this grade This listing scored 45/100, which is a D. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
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 →
This listing does not state a salary
$126k – $163k
That is the middle half of what comparable roles paid on this board over the last 90 days — 39 listings that did publish a figure, median $140k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
About Precursory
Precursory is a risk intelligence and risk-transfer platform for freight operations. We ingest operational data from across the logistics supply chain — TMS records, telematics feeds, rate confirmations, dispatch systems — and turn it into models that price and transfer risk. We are building risk products for a supply chain that has never had risk priced against real operational signal. Learn more at .
The Role
We're hiring a Software Engineer I to work with the data our platform ingests and to help build and enhance the risk and prediction models that sit on top of it. You'll write the pipelines that clean and normalize messy freight data, build the features those models depend on, and ship the services that put model output in front of customers.
You'll see a problem from raw data through to production, and the work you ship in your first few months will be running against real freight and real policies. You'll have a senior engineer close by for review and pairing, and we expect you to ask a lot of questions early.
We care more about how you think than what you've already built. If you're a strong engineer early in your career who wants to learn an entire domain rather than a single service, this is a good fit.
What You'll Do
- Build and maintain ingestion pipelines for freight operational data from TMS platforms, telematics providers, and carrier systems.
- Write the transformation and validation logic that turns inconsistent, real-world records into data our models can use.
- Develop and improve features for our risk and prediction models, and help evaluate how those models perform.
- Build backend services and APIs that expose model output to customers and internal tools.
- Investigate data quality problems and model failures.
- Participate in code and design reviews, and contribute to how we test and monitor what we ship.
What We're Looking For
- 0–2 years of professional software engineering experience, or equivalent through internships and substantial personal or academic projects.
- Solid programming fundamentals in Python, or another language with a willingness to work primarily in Python.
- Comfort with SQL and relational data modeling.
- Clear written communication. Much of the work involves explaining what the data shows to people who aren't engineers.
- Curiosity about the problem domain, and comfort working without a fully specified answer.
- Bachelor's degree in Computer Science or a related field, or equivalent experience.
Nice to Have
- Experience in statistics, machine learning, or applied modeling.
- Experience with AWS or GCP.
- Any prior exposure to logistics, freight, insurance, or another operationally messy domain.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — 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
- 09 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.