Parsly

We are techies & foodies streamlining supply for restaurateurs around the globe
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Parsly is a tech company with offices in Stockholm and Lisbon.

Our mission is to enable restaurateurs to focus on their passion: creating amazing food and experiences for their guests!
However, today the main differentiator between highly profitable restaurants and the not-so-profitable ones goes back to the procurement of food and beverages.

Parsly analyses procurement data and helps restauranteurs keep track of price fluctuations, purchase volumes, offer prices, and much more. This way, we help restaurants save both time & money and giving them the ability to work more sustainably with reduced food waste.

In other words, we take care of the time-consuming task of analysing purchases, while the restaurateurs follow their passion! :-)

Tech stack

  • Auth0

  • AWS

  • Cypress

  • Docker

  • Figma

  • Firebase

  • Github

  • JavaScript

  • Kotlin

  • Microservices

  • Next.Js

  • React Native

  • React.js

  • Typescript

Generella förmåner

  • Avsatt tid för vidareutbildning

  • Balans mellan fritid och arbete

  • Centralt kontor

  • Eget ansvar

  • Fast lön

  • Flexibla arbetstider

  • Förtroendearbetstid

  • Fri tillgång till snacks och annat tilltugg

  • Frihet i arbetet

  • Friskvårdsbidrag

  • Jobba i mindre team

  • Kandidaten får välja egen utrustning

  • Kandidaten kommer att ha kundkontakt

  • Karriärmöjligheter

  • Konkurrenskraftig lön

  • Mer än 25 dagars semester

  • Möjlighet att jobba hemifrån

  • Ny teknik

  • Påverka arkitektur och teknikval

  • Stabil arbetssituation

  • Tillämpar parprogrammering

  • Tillgång till dusch

  • Utvecklingsmöjligheter

Övriga förmåner

  • Mobile phone and subscription allowance

  • 27 days of paid vacations and when in the office

  • you have access to the sauna and changing room with shower/cabinets of the office space :-)

Typ av företag Start-up Produktbolag
Antal anställda 10-19 anställda
Orter Stockholm
Bransch AI & Machine learning Analys & Big data Livsmedel

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