Principal Product Manager, Domino Data Lab
Platform
$250-300k
Enterprise AI platform
Job no longer available
Enterprise AI platform
201-500 employees
Job no longer available
$250-300k
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc)
- Deeply plugged into the AI/ML ecosystem, with a passion for engaging the broader community. You’re comfortable speaking at conferences, contributing to discussions, and have a clear point of view on the future of AI and data science
- Strategic thinker with commercial acumen: You excel at crafting product strategies that align with both customer needs and broader market trends, always with a focus on driving business growth
- Expertise in DS/AI workflows and ecosystems, with a comprehensive understanding of the tools, platforms, and methodologies that power modern machine learning and AI
- High standards for product quality: You have a strong sense of taste and are discerning when it comes to design and user experience, ensuring that everything we ship is of exceptional quality
- Strong technical proficiency: You understand the modern enterprise stack and infrastructure management (Kubernetes, authZ/authN, APM, etc.) and can work closely with engineers to design scalable, high-impact solutions
- Enterprise customer intuition: You know how to navigate enterprise sales and customer engagements, balancing technical depth with clear, pragmatic communication
- You’ve worked closely with customers in enterprise settings and understand their priorities
- Nice to have: Experience in the financial services industry
What the job involves
- Our Platform team is responsible for enabling customers to deploy, manage, secure, govern, and scale our product seamlessly—whether in the cloud or on-premise—to meet the complex demands of large-scale enterprises
- As a Principal Product Manager, you’ll play a key role in shaping the products and features that redefine how data science is leveraged across industries
- This is a high-impact position that bridges technical and business worlds, driving the design of world-class solutions that delight customers
- You’ll work closely with users and collaborate with cross-functional teams to take products from concept to launch and beyond
- This is a unique opportunity to drive the future of our platform and make a meaningful impact on how organizations worldwide operationalize data science
- You’ll own the roadmap for our Platform layer, shaping how we deploy and host Domino (SaaS and customer-managed), enhance security, and improve administration
- Drive more of our revenue to our SaaS offering, improving customer experience
- Ship new, innovative capabilities, like functionality for helping customers manage and monitor infrastructure costs
- Enable enterprise-grade security with automation, flexible authentication, and user management
- Build next-gen admin controls, leveraging AI for automation and ease of use
- Improve customization and extensibility for customers and field engineering teams
Our take
Domino Data Lab powers model-driven businesses with its Enterprise MLOps platform. Trusted by over 20% of the Fortune 100, Domino can accelerate the development and deployment of data science work, while simultaneously increasing collaboration and governance.
Using the platform, enterprises can develop better medicines, grow more productive crops, build better cars, and more. In 2022, it released two additional solutions that enable customers to easily run machine learning and data science workloads across hybrid and multi-cloud systems - showing that it can keep pace with the advancing needs of its clientele.
With nearly all multinational organizations set to invest in local data processing infrastructures and mitigation services by 2026, Domino Data Lab is making an early start on meeting the needs companies face when scaling data science workloads. It is also addressing the "data science talent gap" with its latest release, Domino Code Assist (DCA). This enables business analysts to elevate their work into the data science world and communicate with advanced data scientists in the same languages, without the need for extensive training.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-16% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$100m
SERIES F
Jun 2020
$43m
LATE VC
Total funding: $226.6m
Company benefits
- Health & wellness: Premium medical, dental, and vision insurance plans, including a free option for you and your family
- Commuter benefits: What’s your transportation of choice? We support your daily commute, whether Uber, Lyft, bus, or train
- Love for parents: New parents receive up to eight weeks of fully paid-parental leave. P.S. Got baby pics? Share them in our Slack channel dedicated to kids
- Flexible paid time off: We value your right to disconnect. Take the time you need to recharge, spend time with family, and explore the world
- Annual education reimbursement: Pursue the professional growth that will help you excel in your role with educational opportunities that work for your needs, and at your speed
- Own your outcome: Feel supported to get your work done how and when you need to, regardless of your location
Company HQ
SoMa, San Francisco, CA
Leadership
Nick Elprin
(Co-Founder & CEO)Graduated from Harvard with a Master's in Computer Science. Previously worked as a Senior Application Technologist at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Christopher Yang
(Co-Founder & CTO)Graduated from MIT with a Master's in Computer Science. Previously worked as a Software Developer at Bridgewater Associates before co-founding Domino Data Lab in 2013.
Share this job
View 6 more jobs at Domino Data Lab