Autone

Retail inventory optimization software
Last updated:
January 28, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Retail & Consumer
About the company
Autone builds an AI-driven inventory optimisation platform for retailers and consumer brands, aimed at helping teams make better buy, replenish, and distribution decisions. Public materials position the product as reducing waste and improving forecasting while freeing teams from spreadsheet-heavy planning. The company highlights deep “luxury retail ops” experience from the founders and a customer base of 50+ brands. Autone raised a Series A in October 2024 led by General Catalyst, with prior backing from Y Combinator and others.
Locations and presence
Autone is London-headquartered and repeatedly describes an in-office rhythm, with most of the team in the Vauxhall office several days a week. Public company profiles also list Paris and Milan as additional locations.
Palpable Score
61.3
/ 100
Autone is stronger on transparency and pay clarity than many startups, with published salary ranges, equity notes, and a time-bounded take-home test for at least one key role. The constraint for graduates is simple: most visible hiring is experienced-level, and the limited public signals on wellbeing, retention, and promotion keep outcomes confidence modest.
Pillar 1: Early-career access

Score

9.0
/ 20
  • The company has hired at least one explicitly early-career role recently, including a Junior Operations Associate aimed at recent graduates or 1–2 years’ experience.
  • Autone’s most visible engineering hiring is senior-led, such as a Senior Backend Engineer requiring 5–8 years of backend experience.
  • The company has limited current evidence of recurring 0–2 year roles, internships, or “new grad” pathways, so entry points look occasional rather than steady.
Pillar 2: Hiring fairness and transparency

Score

16.0
/ 20
  • The company publishes a staged interview flow for Senior Backend Engineer, including a take-home test with an “approx. 2 hours” expectation plus two timed interviews.
  • Autone includes practical clarity in listings, such as in-office expectations (3–4 days a week) and a clear remote policy statement rather than vague “hybrid” language.
  • The company is inconsistent across roles on transparency basics like visa sponsorship stance and interview stages, so candidates may get a different experience depending on the team.
Pillar 3: Learning and support

Score

13.3
/ 20
  • The company advertises learning support in benefits and role pages, including a generous training budget in at least one engineering listing.
  • Autone frames some roles around feedback-rich habits like code reviews, plus cross-functional collaboration with product and engineering teams.
  • The company does not publish a concrete early-career ramp plan, mentoring structure, or progression framework that would make a first full-time job feel lower-risk.
Pillar 4: Pay fairness and stability

Score

14.7
/ 20
  • The company provides salary ranges and equity notes in public listings, including £90k–£110k + equity for Senior Backend Engineer and a published range plus equity for a Full Stack Engineer post.
  • Autone has also hired early-career work on fixed-term contract terms (for example, a 6-month operations contract), which can reduce stability for new starters compared with permanent roles.
  • The company does not consistently publish compensation for junior roles on official pages, so early-career pay fairness is harder to benchmark role-by-role.
Pillar 5: Early-career outcomes

Score

8.3
/ 20
  • The company has very limited public outcome evidence like promotion timelines, leveling, or intern-to-full-time conversion, so progression confidence is capped.
  • Autone has at least one public employee review that flags workload and sustainability concerns, even while praising peer quality and career opportunity signals.
  • The company’s public footprint does not provide enough repeatable data on early-career retention or manager quality to score outcomes higher.
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