Account Executive, Focal

US West

Salary not provided
Senior level
San Francisco Bay Area
Focal

Retail automation & optimization

Job no longer available

Focal

Retail automation & optimization

21-100 employees

B2BArtificial IntelligenceComputer VisionSaaSAutomation

Job no longer available

Salary not provided
Senior level
San Francisco Bay Area

21-100 employees

B2BArtificial IntelligenceComputer VisionSaaSAutomation

Company mission

To lower the cost of living for all mankind by automating and optimizing brick and mortar retail with the latest advancements in AI.

Role

Who you are

  • 4 year BA/BS degree with GPA >3.3
  • 5+ years in enterprise technology sales
  • Consistent quota attainment
  • Proven ability to develop and manage complex sales cycle
  • Excellent communication, presentation and demonstration skills
  • Creative, outside the box thinker
  • Accountability to your output and a hunger to crush your number
  • Self-starter with an ability to thrive in a fast-paced environment
  • Desire to be a part of a transformational company
  • Knowledge of retail, mass merchandise, home improvement, and/or grocery operations, along with the associated information technology stack such as shopper-facing apps, back-room inventory management, and/or retail POS systems is a plus but not required
  • Ability to oversee negotiations and contract management
  • Experience with data analytics/business intelligence

What the job involves

  • Intimately understand the needs of our customers to prescribe solutions to solve their problems
  • Initiate and develop long-term trusted relationships with key named accounts in your territory
  • Orchestrate internal teams to support complex sales cycles
  • Use prospecting techniques to build pipeline and reach decision makers
  • Ability to clearly articulate the ROI of our solutions
  • Develop and execute account plans
  • Maintain accurate opportunity forecasts
  • Implement mutual action plans with customers to ensure timelines are met
  • Qualify opportunities to focus company resources effectively

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

Even in the largest retailers, inventory systems are usually manual, with staff checking inventory to get an idea of stock numbers, spoilage and other metrics. These are slow and introduce a high degree of human error, as well as being difficult to carry out around shoppers.

Focal Systems leverages a network low cost, ruggedized cameras and computer vision to scan a store's shelves automatically, alerting the backroom of the need to restock an area of the store in real time. In a time when retailers are facing staff shortages and supply chain issues, this kind of automation is in high demand, as is evidenced by Focal System's customer base which includes the likes of Walmart, ShopRite and Piggly Wiggly.

Having raised an impressive amount of funding, Focal Systems is doubling down on R&D and expanding its global sales and engineering teams. As more brick and mortar retailers begin to adopt automated solutions, Focal Systems is a strong position to continue its growth.

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 6 rounds)

Dec 2021

$25.8m

SERIES B

Dec 2019

$4.8m

EARLY VC

Total funding: $41.9m

Company benefits

  • Health Insurance
  • Catered lunches
  • Paid Time Off
  • Quarterly Team Retreats
  • Education grants
  • Meaningful equity-grants in a very fast growing startup that is aiming for an IPO

Company values

  • Be the best technology partner you work with
  • We are a deep learning first company
  • Only when you test your limits do you realize you have none
  • The hardest working, most dedicated team will win
  • Own your work
  • Row as one
  • Focus and solve one problem at a time
  • Hypothesize, experiment, measure, repeat
  • Crave change, embrace discomfort
  • Burn the boats
  • Love life, love the world

Company HQ

Ingold - Milldale, Burlingame, CA

Founders

Was a part of Lockheed Martin's Engineering Leadership Development Program. Then worked as a Deep Learning Researcher at Bay Sensors and Apple.

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