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Secret Sauce Partners

Backend Product Owner

Medior |Full-time |IT Development |Budapest
Salary range
Not provided
Job details
Application deadline
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Job info

About the job

You will drive the development of the backend components of our Fit Predictor service and improve the customer integration process. As part of this effort, you will also manage the product backlog for our backend systems. Additionally, you will be a liaison among stakeholders of the Fit Predictor team synthesizing and formalizing requirements for internal, backend components of the service.

Salary range

Salary rangeNot provided

Work schedule

Weekly working hours
Core time10 - 16

Responsibilities

Translate high-level requirements to specs
Define requirements for internal products
Own the backend portion of the product backlog
Drive scope negotiations
Participate in acceptance testing

Technologies and tools

SQL |Jira / Confluence |Python |New Relic

Professional skills

  • 1-3 years relevant experience5 / 5
  • Degree in Computer Science3 / 5
  • SW architecture experience3 / 5
  • Communication skills5 / 5

Qualifications

ComputingBA degree

Language skills

EnglishFit for negotiation

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Personal skills

Organized |Detail-oriented
About the company

What makes our product special

Mentoring |Product development |Cloud |Big Data |We are open |Retail |Apparel / Fashion

Our product


Based in San Francisco with a development office in Budapest, Hungary, Secret Sauce Partners enables the world's largest ecommerce companies to provide the best shopping experiences online. Our products are branded and built into ecommerce web sites and are actively used by over 40 million users. We are well funded, fun, dynamic and growing fast. Join us!

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Life with us

What would I miss if I left

You can touch the business - no matter which team you're at.

Julianna Göbölös-Szabó

Data Scientist

Personal qualities we appreciate

  • Team orientation
  • Dependability
  • Customer care

Our Products

Fit Predictor helps shoppers determine the best fitting size for any apparel they wish to buy. Our Visual Recognition Algorithm extracts the stylistic features of each item. Style Finder and Outfit Maker use this information to provide exciting shopping experiences on desktop, mobile and in store.

About the workplace

Is there lunch break?
Of course! And often we do it together.
Men/Women ratio
60% / 40%
How do we give feedback?
We have two-way sessions every 3 months
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