Blossom

AI copilots for psychiatry
Last updated:
February 4, 2026
Company details
HQ
HEADCOUNT
1-24
ORG TYPE
Startup
SECTOR
Healthcare & Life Sciences
About the company
Blossom Health is a virtual psychiatry platform that markets in-network care (insurance-covered) and positions the product as AI-native tooling for clinicians. Public hiring messaging frames the mission around making mental healthcare more affordable, accessible, and clinically effective in the US. The company’s public job ads span both clinical contractor roles (MD, PMHNP) across multiple states and a small set of core team roles in New York City.
Locations and presence
Blossom Health’s public footprint centers on New York City (including in-office roles in SoHo) alongside remote clinical roles across many US states. The service is positioned for Americans and US insurance networks.
Palpable Score
42.3
/ 100
Blossom has clear momentum as a young company, but most visible hiring is either licensed-clinician contracting or “all levels” roles that still expect prior experience, so true graduate entry points are limited. Where Blossom is strongest is pay transparency for several roles, but the lack of consistent early-career pathways and outcomes data keeps the overall score down.
Pillar 1: Early-career access

Score

6.0
/ 20
  • The company’s most visible openings are clinical roles (MD, PMHNP) that require advanced licensure, so they do not function as entry-level access for graduates.
  • Blossom’s “Software Engineer (All Levels)” posting still asks for 2+ years of experience and in-person NYC presence, which narrows early-career access rather than opening a 0–2 year lane.
  • The company does not show internships, apprenticeships, new-grad rotations, or junior titles in the primary public listings, which caps this pillar.

Pillar 2: Hiring fairness and transparency

Score

9.0
/ 20
  • The company centralizes applications through a formal ATS job board, which is a baseline fairness signal versus informal hiring-only channels.
  • Blossom’s public careers page focuses on culture statements (“no hierarchy”, high intensity) but does not lay out stages, timelines, or what an assessment looks like for candidates.
  • The company’s role labeling is inconsistent across aggregators (for example, clinical roles can appear “entry level” while requiring an MD and being contract), which can confuse first-time applicants.

Pillar 3: Learning and support

Score

9.0
/ 20
  • The company sells a “provider-first” operating model and lists meaningful operational support (admin support, tooling, community) for clinicians, which implies some structured enablement for that worker group.
  • Blossom’s engineering posting includes mentorship expectations (“provide technical mentorship”), but that is aimed at candidates who already have experience rather than a support plan for juniors.
  • The company does not publish onboarding plans, ramp timelines, or explicit coaching structures for 0–2 year hires in job descriptions, limiting the score.

Pillar 4: Pay fairness and stability

Score

12.3
/ 20
  • The company publishes salary ranges for several roles via public listings (for example, Software Engineer and Clinical roles), which is a strong transparency signal.
  • Blossom’s clinical roles are explicitly contract, and public Q&A indicates 1099-style arrangements for at least some provider roles, which weakens stability for early-career candidates considering predictable benefits.
  • The company describes benefits for some employee roles (health, dental, vision, PTO) but the picture is mixed across role types and sources, so this pillar cannot score higher without a single authoritative benefits and employment-type breakdown.

Pillar 5: Early-career outcomes

Score

6.0
/ 20
  • The company does not publish early-career outcomes like internship conversion, promotion timelines, or retention, so outcomes cannot be verified from primary sources.
  • Blossom has limited public review volume and the available feedback is mixed, which is not enough to confidently evidence strong support outcomes for early-career staff.
  • The company’s visible LinkedIn hiring signals skew toward experienced hires (for example, senior engineers joining from large tech), which suggests limited proof so far of junior progression inside the company.

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