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Software Engineer, Product

Join a small, ambitious team to build reliable software solutions for doctors' offices, focusing on automating workflows.

Location
San Francisco, CA
Compensation
Not disclosed
Level
Not specified
Type
full time

Posted by employer 4 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 3 hours ago

Apply at Lassie → Save job Scanned from lassie.ai

AI in the day-to-day

null

Not disclosed in this posting: compensation, seniority, years of experience, work arrangement, visa sponsorship.

Joblaze summary

In this role, the software engineer focuses on transforming complex office workflows into user-friendly software solutions for doctors' offices. Key skills include proficiency in Python, TypeScript, and experience with cloud platforms, as well as a strong emphasis on reliability and automation. This position is ideal for engineers who thrive in a small, collaborative environment and are eager to tackle challenging problems in healthcare technology. Lassie's commitment to crafting efficient systems reflects its mission to streamline operations for small businesses.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Lassie's careers page October 27, 2026.
  • Python appears in 29.5% of 2836 comparable backend roles; Notion appears in 0.1% of 2836 comparable backend roles.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Django, Google Cloud Platform, Linear, Notion, PostgreSQL, Pydantic AI.
Is this full-time or contract?
Full-time for this Software Engineer, Product role at Lassie.

From the original posting

About the role

Product engineers turn messy, high-value office work into software that feels simple, dependable, and fast. You’ll build the products doctors’ offices use every day to get work done without adding more work to manage.

You will be a great fit if you…

  • Are excited to work with frontier models

  • Engineer for reliability and correctness, not just functionality

  • Diagnose and resolve live production incidents with minimal disruption

  • Automate away repetitive work and build tooling that makes engineering faster and safer

  • Design schemas and pipelines for large-scale datasets to power applied AI

  • Are comfortable working across databases, caches, proxies, and job orchestration systems

Some things we've built

  • Data pipelines processing $1B+ in insurance claims

  • Systems that eliminate thousands of hours of paperwork every month

  • A sync engine backed by encrypted SQLite in the browser, enabling 100ms experiences for healthcare payments and patient ledgers

Technology we use

We invest heavily in productivity. Engineers should have the best tools for the job and the freedom to choose them.

  • Python (Django, Pydantic AI), Postgres, Redis

  • TypeScript, React, Tailwind

  • Google Cloud Platform, Vercel

  • Linear, Slack, Notion

Standard company text repeated across Lassie's postings is omitted here.

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