Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.flex.ai

About the company

FlexAI sells a platform to run, scale, and manage AI workloads across multiple clouds and hardware options, pitching “Workload as a Service” to reduce infrastructure overhead for teams doing training, fine-tuning, and inference. FlexAI was founded in 2023 and publicly launched in 2024 after raising about €28.5m ($30m) in seed funding. The company positions Paris as the headquarters, with additional offices across the US and India, and partnerships referenced with major ecosystem players.

Locations and presence

FlexAI lists Paris as HQ, with an office presence in the San Francisco Bay Area and Bangalore. Current roles also show remote hiring in the US (East Coast) alongside hybrid hiring in the Bay Area.

Palpable Score

50.5

/ 100

FlexAI looks mature on pay transparency for the roles currently open, which is rare for an early-stage infrastructure company. The score drops mainly because FlexAI’s public hiring footprint is senior-heavy right now, and there is very little public signal on junior progression, retention, or structured early-career support.

Pillar 1: Early-career access

Score

3.5

/ 20

The company’s currently listed openings are senior-level, including a Staff Product Manager role asking for 8+ years of experience.
FlexAI does not show internships, graduate roles, or 0–3 year positions on the live openings page at the time of review.
The company publishes many department filters on the careers system, but the visible hiring activity does not translate into entry-level access yet.

Pillar 2: Hiring fairness and transparency

Score

14.5

/ 20

The company publishes salary ranges directly in job descriptions, including $100,000–$180,000 for Staff Product Manager and $120K–$180K for Developer Advocate base pay.
FlexAI uses a consistent ATS flow with clear location and remote-status labels (fully remote vs hybrid) and a stated quick-apply time indicator.
The company does not publicly spell out interview stages, time-bounded tasks, or feedback timelines, which makes candidate expectations harder to judge upfront.

Pillar 3: Learning and support

Score

10.0

/ 20

The company frames roles as cross-functional work with engineering, product, and go-to-market teams, which can create practical learning-by-building.
FlexAI’s job descriptions lean on broad “learn from experts” language rather than concrete coaching mechanics like onboarding plans, pairing, or review cadence.
The company does not publish early-career-specific support signals (buddying, training time, internal mentorship programmes), and there are no junior role descriptions to validate day-to-day support.

Pillar 4: Pay fairness and stability

Score

15.5

/ 20

The company provides clear salary bands inside postings, reducing negotiation risk and making pay expectations predictable before applying.
FlexAI positions roles as full-time and includes benefits language alongside compensation, which signals stability for hires who match the level.
The company does not show salary ranges across a broader spread of roles (especially junior-appropriate ones), so early-career pay fairness cannot be assessed beyond the two current postings.

Pillar 5: Early-career outcomes

Score

7.0

/ 20

The company shares growth-oriented claims (customers, geographic spread), but does not publish early-career outcomes like promotion timelines or intern-to-offer conversion.
FlexAI’s LinkedIn company profile shows a small team size band, but that does not provide evidence of junior retention or progression patterns.
The company has limited accessible public employee feedback specifically tied to early-career experience, so outcomes remain largely uncheckable.