Technical Customer Success Manager, Parallel Domain
Synthetic data for computer vision and perception
Job no longer available
Synthetic data for computer vision and perception
21-100 employees
Job no longer available
21-100 employees
Company mission
To speed up the transition to autonomy by leveraging synthetic data.
Role
Who you are
- 2+ years of consulting or customer success experience
- Engineering or CS degree or equivalent experience
- Strong motivation to drive value for prospects & customers - and to provide an exceptional customer experience
- Driven, proactive, organized, high level of professionalism, and strong cross-functional teaming skills
- Strong analytics experience
- Flexibility to travel to occasionally meet with customers
Desirable
- Ability to code / write scripts in Python
- Experience with machine learning
- Experience in the autonomous systems and/or computer vision industries, including but not limited to autonomous vehicles, delivery robots, drones, etc
- Experience with geographic information systems, maps, or geospatial systems
What the job involves
- Manage synthetic data delivery projects for strategic autonomous vehicle customers
- Work closely with our own product, engineering, and content teams to enable rapid outcomes for our customer base
- Collaborate with our sales and solutions engineering teams to gather ongoing customer requirements through detailed technical discussions and scoping meetings
- Run quarterly reviews with our technical customers and their leadership teams
- Deeply understand our prospects and customers to demonstrate how Parallel Domain can provide value for additional customer use cases
- Explore new product development areas driven by a strategic understanding of the customer landscape
- Most of our team works in a hybrid style in Vancouver, British Columbia. But we are also open to fully office-based or remote employees who can commit to operating our core hours and travelling to our Vancouver office quarterly. In addition, we offer relocation support if candidates are open and interested in moving to Vancouver
Our take
Autonomous vehicles are fast making the leap from science fiction to reality. However, there are huge safety implications that need to be addressed. Parallel Domain has developed software for training autonomous vehicles in a virtual setting, reducing the risks associated with real-world testing and giving vehicle manufacturers the ability to identify problems and put them right, before the vehicle ever hits the road.
Founded in 2017, Parallel Domain leverages synthetic data to train and test the vision and perception systems for AVs. Clients can customise training environments with parameters such as weather, lighting, and distribution of agents, allowing them to model specific situations, including rare ones that would be unlikely to occur in real-world training. This results in AIs that behave better and more safely in novel situations.
Parallel Domain has seen significant investment that will fuel operational expansion and increase business reach. With the value of synthetic data quickly becoming apparent, the company is positioned well to benefit from those wishing to train their autonomous vehicle AIs faster and more efficiently.
Steph
Company Specialist at Welcome to the Jungle
Insights
62% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2022
$30m
SERIES B
Dec 2020
$11m
SERIES A
Total funding: $43.9m
Company benefits
- Flexibility to work from our office in the San Francisco Bay Area or your home office
- Competitive compensation
- Employer-paid supplemental medical, mental health, dental, and vision benefits
- 401(k)
- Paid vacation and sick time, winter shutdown, and 11 stat holidays each year
- Paid parental leave
- New hire equipment + accessories budget to optimize your setup
- $1,500 annual learning and development allowance
Company HQ
Financial District, San Francisco, CA
Leadership
Kevin McNamara
(CEO)They studied Computer Science at Harvard before working for almost 3 years as a Microsoft Technical Artist. They left their Procedural Content Lead at Apple in July 2017 to found Parallel Domain, where they have served as CEO since.
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