Vaayu

Retail carbon tracking software
Last updated:
February 3, 2026
Company details
HQ
HEADCOUNT
25-99
ORG TYPE
Startup
SECTOR
Retail & Consumer
About the company
Vaayu builds automated environmental impact tracking software for retail, covering areas like emissions, water, and waste across products, packaging, and logistics. The company positions the product as real-time decision support for reducing impact, with a heavy focus on climate and sustainability use cases. Vaayu markets a remote-first team setup and hires across Europe or similar time zones. Vaayu was founded in 2020 and lists Berlin as the headquarters.
Locations and presence
Vaayu is headquartered in Berlin and hires across Europe with a remote-first model. Roles are advertised as EU remote, with an annual offsite and limited “work from another location” flexibility described in benefits.
Palpable Score
54.0
/ 100
Vaayu shows some real entry points for students and graduates, with direct exposure to senior leaders in at least one technical role. The overall score is pulled down by repeated, specific candidate complaints about interview coordination and follow-through, which is a high-risk signal for early-career applicants.
Pillar 1: Early-career access

Score

12.0
/ 20
  • The company lists a Working Student role (Data Engineer) and describes the role as suitable for a graduate in Computer Science, Data Science, or related disciplines.
  • Vaayu’s interview feedback includes an internship application experience, which suggests Vaayu does sometimes run true early-career pathways beyond experienced hiring.
  • The company currently shows a small number of open roles publicly, so evidence of recurring junior hiring is limited by what is visible right now.
Pillar 2: Hiring fairness and transparency

Score

7.0
/ 20
  • The company publishes a simple, time-boxed process for at least one role (intro call and a 60-minute technical challenge), which is a good baseline for candidate expectations.
  • Vaayu has multiple candidate reports of poor coordination, including missing meeting links, interviewers not showing up, and interviewers leaving mid-session after asking for substantial take-home style work.
  • The company has a reported case of an offer being made and accepted, followed by a later withdrawal with minimal explanation, which is especially damaging for early-career stability and trust.
Pillar 3: Learning and support

Score

14.0
/ 20
  • The company describes close day-to-day collaboration with senior leaders in the Data Engineer role, specifically naming the Head of Data and the Co-founder/CTO as direct partners.
  • Vaayu lists concrete support signals for juniors, including “not afraid to ask questions” language and explicit framing that the team helps people feel comfortable with tasks.
  • The company advertises development support through benefits like a learning and development budget, alongside growth language and a remote-first setup that can work well for structured coaching.
Pillar 4: Pay fairness and stability

Score

11.0
/ 20
  • The company lists meaningful baseline benefits for stability, including 26 days paid leave (increasing with tenure) and region-specific pension and health options.
  • Vaayu includes equity as part of the offer on the careers page and in at least one job description, which can be valuable if paired with clear pay.
  • The company does not publish salary ranges in the visible role posting, so pay transparency is limited and this caps the score.
Pillar 5: Early-career outcomes

Score

10.0
/ 20
  • The company has at least some employee feedback describing good learning opportunities (for example in LCA-focused work) and autonomy that can help early-career growth.
  • Vaayu also has serious negative employee feedback describing toxic culture and abrupt departures, which raises concerns about retention and sustainable progression.
  • The company’s LinkedIn page shows an active team footprint, but public evidence of structured promotions, junior conversion rates, or 12–24 month retention is not available and limits confidence on outcomes.
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