Product Engineer, Regulatory Intelligence
Listed by employer · Checked
Posted within 60 days ·
- Work arrangement
- hybrid
- Employment
- FullTime
- Stated compensation
- USD 150,000–200,000 1 YEAR
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Not enough information in this posting — confirm with the employer
Checked for applicants in United States; employer sponsorship is not needed. Based on the source posting · not a hiring or work-authorization guarantee.
The posting does not specify whether applicants from your country are accepted.
Why this result?
3 still unclear
- The posting does not specify whether applicants from your country are accepted.
- Office attendance is required. Relocation and work permission have not been assessed.
- Visa sponsorship is not specified.
This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- hybrid
“Provider workplace type: hybrid”
From employer posting metadata - Employment type
- FullTime
- Compensation
- USD 150,000–200,000 1 YEAR
8 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
About Blumen
Blumen is building the regulatory intelligence layer for American infrastructure. Our platform combines regulatory information with more than 2,500 geospatial datasets to help energy companies and environmental consultants understand the permits, constraints, and risks facing a project in hours instead of weeks.
We are a small, fast-moving team tackling a huge market at the moment AI is beginning to reshape professional services. Someone joining now will help define both Blumen and the future of environmental work in infrastructure development.
What we're looking for
We are looking for a product engineer to build AI and geospatial systems for energy and infrastructure risk analysis. You will have substantial product ownership, working directly with the team and customers to decide what to build and improve it after it ships.
You understand the problem before choosing tools or proposing solutions. No permitting experience required, but you must enjoy diving deep into complex problems and learning new domains.
You care about the details that make a product useful to customers, even when the work is tedious. You take responsibility for mistakes, accept feedback, and change your approach when the evidence calls for it. You explain decisions plainly, share context with teammates, and flag problems early so others can help.
What you will do
Own regulatory and permitting problems alongside our product and regulatory teams, questioning requirements and investigating unresolved questions.
Build and orchestrate long-running AI agents that combine regulations, geospatial data, and project details into well-supported risk analyses.
Benchmark AI agents and workflows against human QA'ed reports, turn root causes into engineering tickets, and verify improvements.
Build internal tools that help our team research, manage, and deliver work more efficiently.
Build customer-facing interfaces for project onboarding, interactive maps, and risk analyses.
Work across frontend, backend, data, and infrastructure. Use what you build and fix problems based on real usage.
Our Stack
React / NextJS
Python / FastAPI / Temporal
PostgresDB / PostGIS
Kubernetes / Docker
LLMs from several providers
Maplibre
QGIS
Qualifications
Several years of experience building and shipping software products end-to-end
Strong CS fundamentals and experience across frontend and backend development
Experience with GIS systems and geospatial ETLs is a major plus
Experience with long-running AI workflows and job orchestration is a major plus
What we offer
This role is based in our San Francisco office on a hybrid schedule, 3 days a week in person with the rest flexible. We do collaboration and onboarding in person.
75% of employee medical premiums covered
Lunch and dinner stipend
Office gear stipend
Unlimited PTO with manager approval
Our values
Put yourself in the customer’s shoes. We care deeply about serving our customers above all else.
No job is too small. Details matter, even if nobody will ever see them.
Every problem is an opportunity. Any solution that is clever, difficult to reproduce, or takes serious guts is an opportunity to widen our moat.
To go far, go together. We trust, respect, win, and lose together, as a team.
Own the problem. Not your solution. Best idea wins.
It doesn’t get easier. We just get faster. There is no finish line. Every day is a step toward compounding success. This is a marathon toward excellence.
Matched by role category. Review each posting’s requirements before applying.
Explore stated remote geography
These collections reflect applicant location statements, not authorization or citizenship.
