OLIO

Local sharing marketplace app
Last updated:
February 2, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Retail & Consumer
About the company
OLIO is a UK sharing app that helps neighbours give away surplus food and household items locally, aiming to cut waste and support community sharing. OLIO was started in 2015 by Tessa Clarke (Co-founder and CEO) and Saasha Celestial-One (Co-founder and COO). The company also runs a business-facing surplus food programme supported by a large volunteer network. OLIO operates as a remote-first team, with hiring framed around mission fit and practical, role-relevant assessment.
Locations and presence
OLIO is headquartered in London, with a distributed team rather than a central office. Roles are often remote and the company’s product and volunteer network operate across multiple countries.
Palpable Score
57.1
/ 100
OLIO offers some credible early-career entry points, especially in operations and community-facing work, but the public trail of repeat 0–3 year hiring is patchy because current openings are not consistently visible. The biggest drag on the score is hiring experience transparency, where candidate feedback points to time-heavy processes that are not always matched with clear closure.
Pillar 1: Early-career access

Score

12.3
/ 20
  • The company has featured roles like Customer Satisfaction Agent and Community Experience Agent, which are nearer to “first job in a mission-led startup” than deep specialist hires.
  • OLIO has used a Knowledge Transfer Partnership Associate role, which is explicitly a graduate or post-graduate bridge role into industry work.
  • The company’s own careers site currently leans on job alerts rather than a steady, visible stream of open junior roles, which limits evidence of recurring early-career hiring.

Pillar 2: Hiring fairness and transparency

Score

9.8
/ 20
  • The company outlines a structured flow on the careers site, including mission fit, a role-relevant task, meeting the team, and a senior-leader presentation.
  • OLIO has candidate-reported interview loops involving long prep (including a presentation plus live tasks) and multi-week timelines, which can be a heavy burden for entry-level applicants.
  • The company has mixed candidate feedback on process closure and follow-up, which weakens trust in fairness even when the stages are clearly described.

Pillar 3: Learning and support

Score

13.0
/ 20
  • The company explicitly positions the work as flexible and remote-first, which can be a strong early-career support signal when paired with good management habits.
  • OLIO highlights inclusivity as a core value and publishes team demographic snapshot data, which signals attention to belonging rather than leaving it vague.
  • The company does not publicly spell out early-career basics like onboarding length, buddy systems, review cadence, or training budgets, so learning support cannot score into the top band.

Pillar 4: Pay fairness and stability

Score

12.0
/ 20
  • The company has publicly available pay snapshots across multiple roles, including ranges for software engineering and customer support style work.
  • OLIO rarely publishes salary ranges directly in job ads on third-party boards, which reduces pay transparency for graduates deciding whether to apply.
  • The company has enough compensation data points to suggest paid, standard employment rather than unpaid or speculative arrangements, but equity and benefits detail for junior hires is not consistently easy to find.

Pillar 5: Early-career outcomes

Score

10.0
/ 20
  • The company has employee feedback that rates work-life balance and culture highly, but “career opportunities” signals are more mixed and don’t clearly map to promotions.
  • OLIO does not publish early-career outcome data like progression examples, internal mobility stats, or retention measures over 12–24 months, which caps this pillar.
  • The company shows some progression patterns on LinkedIn (role moves into analyst or lead scope over time), but this is not the same as a published progression path and can’t stand alone as outcome proof.

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