Workhelix
Product Engineer
San Francisco, Ca.. Posted 4 months ago
The role
You will triage and fix customer bugs across staging and production, and help design and build new features on the main product. You will work across the full stack, from FastAPI (Python) and Postgres to React and CI pipelines.
What you will do
- Triage and resolve incoming customer bugs across single-tenant staging and production environments
- Work alongside the team to design and build new features and capabilities on the main product
- Design and build automated test suites that scale across customer environments without becoming their own maintenance burden
- Work across the full stack (Python/FastAPI backend, Postgres, React frontend) to fix issues at their root cause
Required qualifications
- 2+ years of professional full-stack engineering experience
- Comfort with Python and React, or strong experience in another OOP background
- Real SQL fluency, including schema design and ingestion-to-output pipelines
- A systems mindset that notices when upstream or downstream work drifts out of sync
- A pragmatic delivery bias: scoping, shippable increments, no over-engineering
- Genuine product and user judgment
- Low ego, high standards, and openness to review feedback
- Strong collaborative and async communication in Slack, PRs and EOD updates
- Intellectual curiosity and comfort with shifting priorities
Nice to have
- Comfort with Python and React (listed as strongly preferred)
Benefits
- Competitive compensation package and benefits
- Equity
- Health benefits
- Chance to learn and collaborate with Andrew Ng, Erik Brynjolfsson, Andy McAfee and Daniel Rock
- Opportunity to help build a company, culture and products from the ground up
- High-trust, high-autonomy work environment
Before you apply
- Equal employment opportunity employer; selection based on qualifications, merit and business needs
About the company
Workhelix is an enterprise SaaS company that helps organizations get the most out of their AI investments. It offers task-scoring for GenAI opportunities and ROI monitoring for AI implementations.