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Focal Systems

Product Manager

Reposted 4 Days Ago
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Remote
Hiring Remotely in UK
Senior level
Easy Apply
Remote
Hiring Remotely in UK
Senior level
Responsible for driving product strategy, collaborating with teams, managing product roadmaps, and ensuring product performance for retail AI solutions.
The summary above was generated by AI

Type: Full-time, salaried employment
Location: Remote, United Kingdom only.
Salary Range:  £75,000 - £90,000 + stock options.

Who We Are

Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world.

We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world!
What you will be responsible for
We’re seeking a Product Manager who is passionate about solving complex problems, pushing boundaries, influencing strategy, and making a strong impact on product execution and quality. Reporting to the VP of Product, you will collaborate with cross-functional teams and stakeholders to shape our platform’s future. You will focus on developing products that empower retailers to optimize their operations through data-driven decision making, leveraging deep learning and computer vision.
What you will do

  • Drive key Focal initiatives, directly influencing strategic product roadmap
  • Work closely with the design, engineering and customer success teams on executing the product vision
  • Work with the largest retailers in the world on integrating our technology into their operational processes
  • Ensure features and bugs are reported and prioritized
  • Keep roadmap, progress trackers and documentation up to date and maintained
  • Plan, monitor and analyze key metrics for the performance of our models and infrastructure
  • Proactively seek a firsthand understanding of issues and areas for improvement for our products, including frequent client interviews and visits

What You Need to Be Successful

  • 5+ years professional experience, preferably 2+ years in a product management role managing a B2B data heavy SaaS application
  • Technical degree (e.g. EE, CS, Math, Stats) a plus
  • Strong knowledge of software development processes
  • Knowledge of SQL and data science, data-driven mindset
  • Proven ability to plan and manage a long-term product roadmap, lead product initiatives, rapid iteration, and ongoing customer discovery with tangible results
  • Recent startup experience; uphold our values & mission; team player
  • Excellent communicator and collaborator across technical and non-technical teams
  • Willingness to travel 
  • Ability to speak German to converse with our DACH client base a huge plus

Why Focal Systems

Joining Focal Systems means becoming part of a company that's truly making a difference in the retail world. Here's why you should consider us:

  • Strong Values and Mission: We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception.
  • Exceptional Team: We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art.
  • Outstanding Partners: We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavours.

What we offer

We care deeply about the health, happiness, and wellbeing of all of our employees. We offer:    

  • Competitive Salary & Attractive Stock
  • Generous Paid Time Off 
  • Pension
  • Sick Leave
  • Parental Leave
  • Learning and Development Budget

Top Skills

Data Science
SQL

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