Full-Time
Principal Product Manager
Updated on 4/26/2024
Synthetic data platform for autonomous systems
Senior
San Francisco, CA, USA
- 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
- 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
Parallel Domain operates as a synthetic data platform that leverages 3D simulation and generative AI to furnish industries like autonomous vehicles and drones with high-quality, accurately annotated synthetic datasets crucial for training and testing perception models. This focus on cutting-edge technology places the company at the forefront of advancements in autonomous systems, making it a stimulating environment for professionals eager to drive progress in AI and machine learning. The unique blend of technical excellence and industry relevance provides a fertile ground for innovation and professional growth.
Company Stage
Series B
Total Funding
$43.9M
Headquarters
San Francisco, California
Founded
2017