Staff Product Manager, AI Factory

<p><strong>Who we are<br></strong>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.&nbsp; Our customers — like Johnson &amp; 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.<strong><br></strong></p> <p><strong>What we are building<br></strong></p> <p>At Domino, we are reimagining what it means to build and operate AI at scale. As a Staff Product Manager, you’ll own a set of product capabilities within our platform. Depending on your strengths, that could mean our "AI Factory" (streamlining how customers develop, train, deploy, and monitor models and AI systems), our Governance suite, or our Platform and Cloud layers that let enterprises deploy, secure, and scale Domino. We're looking for strong, flexible product generalists as much as deep AI/ML specialists.</p> <p>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.</p> <p>Your mission? To define and execute the next chapter of Domino. 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.&nbsp;</p> <p><strong>What your impact will be<br></strong>Some specific focus areas will include:</p> <ul> <li>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).</li> <li>Strengthening the Platform and Cloud layers — how customers deploy, host, secure, and administer Domino across SaaS and customer-managed environments.</li> <li>Lead the development of the next generation of MLOps capabilities, ensuring that Domino continues to offer cutting-edge solutions for the AI lifecycle <ul> <li>Evolve our platform to better support Generative AI models and advanced AI systems</li> <li>Expand and enhance our MLOps capabilities, enabling customers to streamline their AI workflows</li> </ul> </li> <li>Increase integration and coherence across our platform, accelerating the time it takes for AI projects to move from inception to production</li> </ul> <p><strong>What we look for in this role<br></strong></p> <ul> <li>5+ years of product management experience, delivering enterprise software tailored to data scientists or similar personas (ML/AI engineers, quantitative researchers, etc.)</li> <li>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</li> <li>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</li> <li>Bonus if you bring familiarity with DS/AI workflows and ecosystems, or an ability to quickly build empathy for technical users like data scientists and ML engineers</li> <li>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</li> <li>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</li> <li>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</li> <li>Nice to have: Experience in the financial services industry or public sector</li> </ul> <p><strong>What we value</strong></p> <ul> <li>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</li> <li>We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success</li> <li>We believe in individuals who seek truth and speak the truth and can be their whole selves at work.&nbsp;</li> <li>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.&nbsp;</li> <li>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> </ul> <hr> <p>#LI-Remote</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><em>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.</em></p></div><div class="title">Compensation Range </div><div class="pay-range"><span>$225,000</span><span class="divider">&mdash;</span><span>$300,000 USD</span></div></div></div>