SaaS Sales Manager, Matroid

Government

Salary not provided
Mid level
Remote in US
Matroid

Non-technical computer vision platform

Open for applications

Matroid

Non-technical computer vision platform

21-100 employees

B2BArtificial IntelligenceVisualisationComputer VisionSaaS

Open for applications

Salary not provided
Mid level
Remote in US

21-100 employees

B2BArtificial IntelligenceVisualisationComputer VisionSaaS

Company mission

To make computer vision simple and accessible to everyone.

Role

Who you are

  • A minimum of 3 years of government sales experience, either in Federal or SLED
  • Active US Security clearance or eligibility and willingness to obtain a US Security clearance depending on the target account
  • Proven track record of large-scale sales to government institutions
  • Intricate familiarity with procurement processes
  • Excellent communication skills. Ability to compellingly articulate Matroid’s product offering to audiences with varying levels of technical skill and seniority
  • Ability to understand potential customers' requirements and how Matroid’s software can address them
  • Demonstrated project management skills and a love of getting things done, no matter the circumstances
  • Experience building and managing relationships, and collaborating with internal partners and external counterparts
  • Ability to travel per business needs

Desirable

  • You have experience leading SBIR, STTR initiatives

What the job involves

  • In coordination with Matroid leadership, develop and execute a comprehensive strategy for growing the company's presence in defined government institutions
  • Generate new leads and business opportunities, working closely with Matroid counterparts to determine goals and targets
  • Serve as the key point of contact between Matroid and given institution(s), and represent Matroid's Sales Team at industry events and conferences
  • Develop deep familiarity with Matroid's software platforms and how they can be used to solve a wide range of real-world problems
  • Exceed stated sales quota by winning contracts
  • Work with the other Sales team members to improve and streamline internal processes

Otta's take

Xav Kearney headshot

Xav Kearney

CTO of Otta

Maitroids' platform renders the need for a data scientist obsolete​​. It enables enterprises to deploy computer vision solutions by automating the process of analysing imagery data, leaving companies to free up employees who were previously completing tedious manual tasks.

Matroid has developed a partnerships program attracting heavyweights Oracle, HP, and Dell, distancing themselves from behemoths Facebook and Alphabet, who have their own machine vision software divisions. The accessibility of its platform is what makes it so appealing to clients.

Led by Stanford professor and machine learning expert Reza Zadeh, the company launched its first computer vision product in 2017. Fast forward to Oct 2020 and Maitroid garnered $20m in Series B funding led by Energize Ventures. This finance has been used to accelerate product development and go-to-market expansion in manufacturing as well as the video security market.

Insights

Top investors

Some candidates hear
back within 2 weeks

11% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Oct 2020

$20m

SERIES B

Sep 2017

$10m

SERIES A

Total funding: $33.5m

Company benefits

  • Free lunch, snacks, drinks, and caffeine every day
  • Gym membership with yoga and pilates classes next door
  • Budget for whatever hardware you want
  • Competitive salary and equity
  • Flexible hours
  • Dental and vision insurance with 100% paid premiums
  • Work from home opportunities
  • Health insurance

Company values

  • Accelerate AI, responsibly, through vision. AI is an ambitious, unsolved problem, so we're building a world-class team with innovation and engineering excellence embedded into our culture.

Company HQ

University South, Palo Alto, CA

Founders

Earned a Ph.D in Computational Mathematics from Stanford University. Previously Senior Data Scientist at Twitter for 2 years and Technical Advisor at Databricks for 3 years.

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