Principal Product Manager, AI Factory at Domino Data Lab

, , United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

300000.0

Posted On

15 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI, MLOps, Data Science, Machine Learning, Governance, Model Development, Technical Proficiency, Enterprise Software, Customer Engagement, Strategic Thinking, Innovation, Collaboration, User Experience, Communication, Growth Mindset

Industry

Software Development

Description

Who we are At Domino, we build software that helps the world’s most sophisticated enterprises deliver mission-critical AI systems. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy models — while managing costs, risk, and security. Our customers — like Johnson & Johnson, GSK, Bristol Myers, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or defending our country. Backed by Sequoia Capital and other leading investors we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. What we are building 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. Your mission? 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. What your impact will be Some specific focus areas will include: 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 What we look for in this role 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 we value We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success We believe in individuals who seek truth and speak the truth and can be their whole selves at work. We value all of you that believe improving is always possible. At Domino, everything is a work in progress – we can do better at everything. We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. #LI-Remote The annual US base salary range for this role is listed below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Compensation Range $250,000—$300,000 USD

Responsibilities

The Principal Product Manager will own the product capabilities that streamline the model development lifecycle, including developing, training, deploying, and monitoring AI systems. They will drive the strategy and vision for the 'AI Factory' to enhance the platform's capabilities for customers.