Description review
Location: Boston, MA
Location: Boston, MA · Remote · back to the listing
HR standards
30/100
poor
Title ↔ description
15/100
poor
Reads as
Unclear
no confident match
How others title the same work
Large employers
- Software Development Engineer, Influencer Management Adobe
- Senior Software Engineer (EAA) Coinbase
- Senior Software Engineer, Full Stack (Coinbase Advisor - Agentic Trading) Coinbase
- Senior Software Engineer (Typescript), AI Clients: Duo CLI GitLab
- Grafana Labs | Senior/Staff Software Engineer - AI / Agentic apps | 100% Remote (US + Canada) | Grafana Labs
Startups
- Founding Software Engineer Aglide
- Product Engineer (Founding team) Aglide
- AiMi | Full Stack AI Engineer | Remote(Everywhere) | Full-time AiMi
- Staff Software Engineer AiPrise
- ALBERT | REMOTE ALMOST ANYWHERE IN THE WORLD | Hiring principal and distinguished ALBERT
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
Remote: Yes (preferred)
Willing to relocate: No
Technologies: Python, TypeScript, Rust, SQL | pandas, polars, Arrow, DuckDB/DataFusion, Parquet, PostgreSQL | React, ag-grid, FastAPI, Django | MCP servers, LLM tool design, agent evals
Email: [email protected]
I build data tools, from the dataframe backend to the browser.
I created and maintain Buckaroo (https://github.com/paddymul/buckaroo), an open source dataframe UI for Jupyter, marimo, and VSCode — summary stats and a histogram over every column, across pandas and polars. 683 stars. Scrolling millions of rows without eating the browser took a segment-merging row cache and parquet decoded client side.
Recently: Tallyman, a data science environment for coding agents. Named computations in a dependency DAG, results rendered live in a browser companion, every step keeping the prompt that made it. Demoed at PyData London 2026.
Before that: Flatfile, Attune, Tudor, and Bokeh/Wakari at Anaconda.
Looking for data infrastructure, developer tools, or agent tooling — where a hard backend problem has to surface as something a person can use.
Willing to relocate: No
Technologies: Python, TypeScript, Rust, SQL | pandas, polars, Arrow, DuckDB/DataFusion, Parquet, PostgreSQL | React, ag-grid, FastAPI, Django | MCP servers, LLM tool design, agent evals
Email: [email protected]
I build data tools, from the dataframe backend to the browser.
I created and maintain Buckaroo (https://github.com/paddymul/buckaroo), an open source dataframe UI for Jupyter, marimo, and VSCode — summary stats and a histogram over every column, across pandas and polars. 683 stars. Scrolling millions of rows without eating the browser took a segment-merging row cache and parquet decoded client side.
Recently: Tallyman, a data science environment for coding agents. Named computations in a dependency DAG, results rendered live in a browser companion, every step keeping the prompt that made it. Demoed at PyData London 2026.
Before that: Flatfile, Attune, Tudor, and Bokeh/Wakari at Anaconda.
Looking for data infrastructure, developer tools, or agent tooling — where a hard backend problem has to surface as something a person can use.