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Full-Time

Director of Product

Posted on 6/18/2024

Focal Systems

Focal Systems

51-200 employees

Automates retail operations with AI technology

Consumer Software
AI & Machine Learning
Consumer Goods

Compensation Overview

$225k - $250kAnnually

+ Stock Options

Senior, Expert

San Francisco, CA, USA

Requires onsite presence in San Francisco, CA for hybrid work in the San Francisco Bay Area.

Category
Product Management
Product Strategy
Product
Required Skills
Python
Data Science
SQL
JIRA
Requirements
  • 8+ years professional experience, preferably 3+ years in a product management role managing a computer vision or deep learning product
  • Technical degree (e.g. EE, CS, Math, Stats) strongly preferred
  • Strong knowledge of software development processes
  • Strong knowledge of deep learning and computer vision
  • Knowledge of SQL and data science
  • Knowledge of Python strongly preferred
  • Knowledge of data annotation processes a plus
  • Recent startup experience; uphold our values & mission; team player
  • Ability to work a few days per week in the San Francisco office
Responsibilities
  • Guide the Product Recognition product roadmap and prioritization
  • Oversee and guide software development of our Product Recognition products
  • Ensure features and bugs are reported and prioritized
  • Keep JIRA and product charters up to date and maintained
  • Run scrums and check-ins
  • Plan, monitor and analyze key metrics for the performance of our models and infrastructure
  • Proactively seeking a firsthand understanding of issues and areas for improvement for our Product Recognition products
  • Act as a strategic partner to the VP of Product and Focal executives; initiate and lead data-driven analyses to help prioritize opportunities and provide actionable recommendations for initiatives, products and improvements

Focal Systems automates and optimizes retail operations for physical stores using artificial intelligence. Its main product, FocalOS, is an operating system that improves store management and inventory processes while enhancing financial performance. FocalOS uses battery-powered, WiFi-enabled cameras to scan shelves hourly, providing retailers with real-time data on inventory levels. This allows stores to manage stock more efficiently and quickly address supply issues. Unlike competitors, Focal Systems focuses specifically on the needs of brick-and-mortar retailers, offering both software and hardware solutions. The company's goal is to enhance operational efficiency and reduce labor costs for retailers, ultimately delivering significant value in the retail technology market.

Company Stage

Series B

Total Funding

$41.8M

Headquarters

Menlo Park, California

Founded

2015

Growth & Insights
Headcount

6 month growth

14%

1 year growth

49%

2 year growth

79%
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Simplify's Take

What believers are saying

  • Partnerships with major retailers like Walmart Canada and Village Super Market demonstrate Focal Systems' ability to scale and integrate effectively.
  • The company's entry into the UK market and collaboration with the British Retail Consortium highlight its potential for international growth.
  • Focal Systems' technology significantly reduces labor costs and improves inventory management, offering substantial financial benefits to retailers.

What critics are saying

  • The retail technology market is highly competitive, requiring continuous innovation to maintain a leading position.
  • Dependence on hardware components like cameras could pose supply chain risks and impact service delivery.

What makes Focal Systems unique

  • Focal Systems leverages AI-driven automation to provide real-time, accurate shelf inventory data, setting it apart from traditional retail management solutions.
  • Their cost-effective, battery-powered, WiFi-enabled cameras offer continuous monitoring, a unique feature that enhances operational efficiency.
  • Focal Systems' focus on brick-and-mortar retailers allows them to address specific challenges in physical store management, unlike broader retail tech solutions.

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