Should you work at RISA Labs?
Maybe — the screening is unusual and we may not be seeing the whole company. RISA Labs raised an $11.1M Series A with named institutional backers, works a specific domain in AI applied to oncology and healthcare workflows rather than generic software, scopes roles across the full path from idea to launch, and states exposure to the founding team. Read the role count as a floor: we hold four of its postings and have not refreshed them since May. The company also screens for ideological alignment in a way some candidates will find unusual, the AI Engineer posting sends mixed signals on seniority, and we hold no verified employee reviews.
Read from 4 live roles, 4 full job descriptions and 1 funding round. No employee reviews, no ratings.
Good fit if
- Series A funding with named institutional backers is disclosed in three of the four postings.
- The work is focused on a specific domain — AI applied to oncology and healthcare workflows — rather than generic software.
- Roles are described as broad in scope, covering the full path from idea to launch.
- Postings state exposure to the founding team and high-visibility work.
Think twice if
- The company screens for ideological alignment in a way some candidates may find unusual.
- Ambiguity and speed are stated conditions of the work, not occasional exceptions.
- The AI Engineer posting sends mixed signals on seniority — it targets fresh graduates but asks for 2 to 5 years and deployed LLM experience.
- The field role requires location-specific presence and possible relocation.
We can't tell you
- What managers are actually like day to day
- Attrition, tenure or promotion rates
- Whether the pace is sustainable
- Equity terms — no posting states them
What it pays
No active roles publish a salary range.
0 of 4 roles post a range
No role here publishes a salary range.
Where you'd sit
Of 0 roles that specify a setup.
No role states a work arrangement.
Who they're hiring
4 live roles across 4 teams.
What the job descriptions ask of you
A reading of how 4 postings are worded — not a score, and not comparable between companies.
Pace Fast
Speed and scaling are repeated across postings as a baseline expectation.
“We are scaling fast and looking for people who comes with little to no bias”
Autonomy Self-directed
Postings ask for self-direction and initiative rather than close supervision.
“Organized and self-directed; comfortable managing a field schedule independently”
Structure Ambiguous
Roles are framed around undefined problems and building things that do not yet exist.
“Moves fast and thinks clearly in ambiguity”
Ownership End-to-end
End-to-end responsibility is stated explicitly in multiple postings.
“Take initiative, ask questions, and own your work from day one in a dynamic environment”
Collaboration Cross-functional
Every role is described as working across functions with product, engineering, and clinical teams.
“Collaborate cross-functionally with product managers, researchers, and engineers”
The upside
Stated by RISA Labs in its own postings.
Series A funding with named institutional backers is disclosed in three of the four postings.
“RISA Labs is a Series A startup backed by Optum Ventures, Cencora Ventures, Oncology Ventures, General Catalyst, Binny Bansal”
The work is focused on a specific domain — AI applied to oncology and healthcare workflows — rather than generic software.
“starting with the incredibly high-stakes challenges within oncology”
Roles are described as broad in scope, covering the full path from idea to launch.
“getting involved in every step from ideation to launch”
Postings state exposure to the founding team and high-visibility work.
“Work directly with the founding team on high-visibility initiatives”
The field role publishes salary bands by location.
“New York: 100K-120k New Jersey: 80-90k Nashville: 75-85k”
The engineering role explicitly includes learning support.
“Learn and grow continuously through mentorship, technical reviews, and exposure to cutting-edge problems”
The trade-offs
Also from the postings — not complaints from employees.
The company screens for ideological alignment in a way some candidates may find unusual.
“looking for people who comes with little to no bias and believe exactly what we believe”
Ambiguity and speed are stated conditions of the work, not occasional exceptions.
“Comfortable thriving in fast-paced, uncertain settings”
The AI Engineer posting sends mixed signals on seniority — it targets fresh graduates but asks for 2 to 5 years and deployed LLM experience.
“This role is ideal for fresh graduates who are eager to solve challenging problems”
The field role requires location-specific presence and possible relocation.
“Based in or able to relocate to New York or Tennessee; regular onsite presence required”
The product role is tied to a specific city.
“join our tight-knit product team in Bangalore, India”
The design role sets a hard tool requirement rather than treating tools as learnable.
“Strong command of Figma (non-negotiable)”
Employee sentiment
No data yetWe hold no verified employee reviews for this company. Sentiment appears here only when it comes from verified employees — never from product or customer ratings, which measure something else.