Product Manager at Mashgin (W15)
Self-Checkout using Computer Vision.
Palo Alto, CA
3+ years
About Mashgin

Mashgin builds self-checkout kiosks that use A.I. to scan multiple items without barcodes, reducing checkout time by 10x. We’re completely recreating the checkout experience in an industry that’s seen little innovation in decades. We are live in over 1,500 locations across the world and processing 5m+ transactions monthly. We are growing fast.

We were part of YC W15 and closed a $62.5 million series-B funding round in May 2022 at a $1.5B valuation.

About the role

About Mashgin

At Mashgin, we are developing the future of checkout experiences. We aim to reduce the friction between customer desires and their ability to be on their way. 

Our ecosystem is anchored by the only 3D computer vision and deep learning based checkout system in the world. With customers across a wide spectrum of verticals including the NFL, MLB, and Aramark, our company and product adoption are growing at a rapid pace.

We value autonomy of ones work, a culture of respect for one another, and building products with empathy for our customers.

Position Summary

As a Product Manager at Mashgin you will help define products and features that integrate software, hardware, and services to provide frictionless commerce experiences. This role requires a strong technical background, and a customer-centric mindset. As a Product Manager, you will be responsible for prioritizing the customer experience and delivering great solutions while managing tradeoffs between technology, business, and customer needs.

You'll become a product expert on our technology where your job would be to know how EVERYTHING works and why. Serious startup flexibility and ability to bring features to life with minimal iteration will be the key to success. You don't just wear many hats, you are a haberdasher. You will be encounter industry specific requirements and challenges you've never heard of, and master them as they come. Understanding a wide swath of customer verticals and needs will also be key to success in this role.

You Will Be

  • Be the product lead for a cross-functional team of engineers, support and sales
  • Prioritize and execute initiatives that realize our product strategy and growth
  • Conceptualize, scope, define, and drive projects through the product life cycle
  • Work cross-functionally with customer success and marketing teams to validate, launch, support, and monitor new features
  • Track and measure the success of each release, and feed those learnings back into the roadmap

Minimum Qualifications

  • Strong product sense and a mature sense of what it means to deliver a great customer experience to developers, customers and clients
  • 5+ years of Product Management experience with at least one entire product development cycle from concept to introduction. Experience with consumer hardware coupled with software is strongly preferred
  • Passionate about user experience; able to inspire and educate designers and engineers with thought-provoking objectives and customer-centric use cases
  • Strong leadership and communication skills, with experience managing and motivating cross-functional teams/individuals (both internal and external)
  • Proven ability to establish rapport, credibility and influence with others to achieve results across teams
  • Self-starter, proactive, demonstrated self and team motivator with a bias for action

What We Offer

  • An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
  • Excellent health, dental and vision insurance for you and your dependents
  • 401k plan
  • Flexible PTO policy
  • Competitive salary and options in a small, rapidly scaling company

Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. 


Our system reconstructs the entire scene in 3D in real-time using multiple cameras and uses deep learning to separate, identify and count items.

3D Computer Vision, Convolutional Neural Nets, C++, Python, Node.js.

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