Senior Technical Engagement Manager

At Parallel Domain, we believe that autonomous systems – from self-driving cars to contactless delivery drones – have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain simulated testing platform. Our software changes the way our customers test their systems, accelerating their ability to deploy safe and reliable AI. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and simulation.

We're looking for a Technical Engagement Manager to help our customers accelerate their testing infrastructure with Parallel Domain simulation. You will have an opportunity to collaborate closely with autonomous vehicle, autonomous drone & other development teams as well as our internal product and engineering groups. Ideal candidates have technical backgrounds as well as multiple years of experience in consulting, technical program management, or customer success.

This position is either based in the European Union or the Bay Area, California.

In this role, you will:

• Enable customers in the autonomous vehicles, drones and other industries, as they test, develop, analyze and train their AI models on our simulation platform synthetic data delivery projects for strategic autonomous vehicle and drone 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, including semi-regular onsite visits with customers.
• 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 strategic understanding of customer landscape

About You:

• 5+ years of consulting or customer success experience
• Technical aptitude and ability to learn in the fields of computer science and machine learning. Basic understanding of API products and scripting languages such as Python.
• 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, ideally with experience collecting and analyzing product analytics for data-driven decision making.
• Ability to travel frequently to different customer locations to work onsite

Bonus Points:

• Experience in the autonomous systems and/or computer vision industries, including but not limited to autonomous vehicles, delivery robots, drones, etc.
• Experience at a B2B software startup.
• Experience in automotive OEMs

Why join Parallel Domain?

We are assembling a team of creative, talented visionaries seeking to build a new technology that will change the world. You will be able to learn, build, and scale our team and technology in a collaborative, creative culture that values every team member.

To attract and inspire the right talent, we offer: 

• Competitive compensation

• Employer-paid supplemental medical, mental health, dental, and vision benefits.

• Flexible paid vacation, sick time, winter shutdown, and 11+ holidays per year

• Paid parental leave

• Equipment budget to optimize your setup

• Annual learning and development stipend

Parallel Domain celebrates diversity and is committed to creating a safe and inclusive environment for all our people. We are committed to providing employees with an environment free of discrimination, bullying and harassment. All employment decisions at Parallel Domain are based on business needs, job requirements and individual qualifications. We will maintain our commitment to and support of equal employment opportunity for all individuals without regard to race, national/ethnic origin, colour, religion, age, sex (including pregnancy), sexual orientation, gender identity/expression, marital status, family status, genetic characteristics or physical/mental disability. Our commitment extends to any other protected classes which may exist under applicable law.