Principal Product Manager, Parallel Domain
$160-180k
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
$160-180k
21-100 employees
Company mission
To speed up the transition to autonomy by leveraging synthetic data.
Role
Who you are
- This role is ideal for someone passionate about the AI/ML space, with product experience building innovative platform solutions at scale, and a drive to make a substantial impact
- 5+ years of product management experience delivering highly impactful and innovative platform or infrastructure products at scale
- 2+ years of product management experience in AI/ML products, ideally with API offerings
- Experience working in a B2B enterprise environment
- Have a working understanding of machine learning frameworks
- Experience creating and driving product vision, leading the narrative with leadership, and building momentum behind this vision with all stakeholders
- Entrepreneurial sense of ownership: leads product development from zero to first release and beyond with full accountability of the outcomes
- Proven track record to partner effectively across functions, with the ability to gain shared vision on decisions, resources, and priority trade-offs
What the job involves
- Parallel Domain is looking for an experienced product manager to lead the product development of Data Lab
- You will be the face of Product at PD: Embody and encourage product thinking at PD, and set the tone for PLG across the company
- Gain a deep understanding of the end-to-end ML engineer experience, as well as the needs and nuances of developing and deploying machine learning models
- Work with leadership to set and drive the long-term roadmap for DataLab
- Manage roadmap / quarterly planning across Product and Engineering teams
- Assess product usage, determine success metrics, set goals, and hold yourself and the team accountable to the outcomes
- Communicate roadmaps, priorities, experiments, and decisions clearly across a wide spectrum of audiences from internal customers to executives
- Advise on GTM strategies, pricing and packaging, and commercialization goals
- Partner with customer-facing teams to join sales and CS calls and support our customers
- Work closely with Product Marketing to clearly position the value our products deliver to our target customers
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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