Principal Product Manager, Domino Data Lab
AI Factory
$250-300k
Enterprise AI platform
Be an early applicant
Enterprise AI platform
201-500 employees
Be an early applicant
$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: With a background in computer science or a related field, you’re comfortable working closely with engineers, brainstorming approaches, and discussing technical trade-offs
- Enterprise customer intuition: You bring strong communication skills and practical judgment when engaging with enterprise clients, having collaborated on enterprise sales and customer interactions in the past
- Nice to have: Experience in the financial services industry
What the job involves
- At Domino, we are reimagining what it means to build and operate AI at scale
- As the Principal Product Manager for our “AI Factory,” you’ll own the set of product capabilities that streamline the model development lifecycle: developing, training, deploying, and monitoring models and AI systems
- Domino has long been a trailblazer in the data science and MLOps space, offering an integrated, end-to-end product experience — from development and experimentation to model publishing and operationalization
- As the industry’s MLOps maturity increases, and as Gen AI creates new challenges for building and deploying AI systems maturity, we are advancing our product to meet the emerging needs of our customers
- To define and execute the next chapter of Domino’s “AI Factory.” You'll be responsible for driving the strategy and vision that elevates our platform’s capabilities, empowering our customers to build, deploy, and manage cutting-edge AI systems with greater ease and efficiency
- Advancing our novel Governance feature set to integrate model validation/review into the model development lifecycle. Drive breakthrough innovations (e.g., automated model documentation) as well as modern implementations of longstanding industry requirements (e.g., attestation, periodic revalidation)
- Lead the development of the next generation of MLOps capabilities, ensuring that Domino continues to offer cutting-edge solutions for the AI lifecycle
- Evolve our platform to better support Generative AI models and advanced AI systems
- Expand and enhance our MLOps capabilities, enabling customers to streamline their AI workflows
- Increase integration and coherence across our platform, accelerating the time it takes for AI projects to move from inception to production
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.
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