Technical Product Marketing Director, Data Science

Remote US

Domino Data Lab

Experience the power of Enterprise AI with Domino Data Lab. Accelerate research, deploy models, and foster collaboration among code-first data science teams.

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Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, 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 protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake 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. For more information, visit www.domino.ai

What we are building

Our Product Marketing team at Domino serves as the beacon for the customer's perspective and leads the charge in articulating Domino's narrative. We define and mold our marketing initiatives, fueled by ambitious objectives to enhance our go-to-market triumphs and outperform in the competitive landscape. The team's responsibilities include the creation and execution of compelling positioning strategies and messaging, establishing thought leadership, and persuasive content that is used in sales, customer success, and, of course, marketing.

What your impact will be

  • Be the Technical Storyteller – Translate complex platform capabilities into clear, compelling content that showcases Domino’s technical advantages, unique differentiators, and real-world use cases to help the market understand why Domino stands out
  • Shape the AI/ML Conversation – Stay ahead of key industry trends—such as Generative AI and Responsible AI—and establish Domino as a thought leader in the evolving AI landscape
  • Educate & Inspire – Deliver a continuous stream of high-impact content, including hands-on labs, demos, videos, blogs, training sessions, and webinars, to help data scientists and ML engineers unlock new possibilities with Domino
  • Influence Product & Strategy – Work closely with product and engineering teams to guide the roadmap, support product launches with technical collateral, and ensure our sales teams have the right tools and knowledge to drive adoption
  • Position Domino for the Future – Provide technical insights on emerging market trends, competitive landscapes, and ecosystem shifts, helping refine how Domino is positioned in the industry

What we look for in this role

  • AI/ML & Data Expertise – You have 5+ years of experience working with data science, AI/ML, MLOps, big data, and analytics technologies. You know the ins and outs of the latest tools, trends, and techniques
  • Technical Marketing & Advocacy – With 5+ years in technical marketing, developer advocacy, product marketing, sales engineering, or a similar role, you know how to bridge the gap between technical innovation and business impact
  • Strong Communication & Storytelling – You excel at turning complex ideas into clear, engaging narratives. Whether it's a technical whitepaper, a hands-on demo, a webinar, or a thought leadership blog, you know how to craft content that educates and inspires
  • Hands-On & Technical – You’re comfortable coding in Python and R, working with open-source ML tools, and getting hands-on with tech to showcase the "art of the possible"
  • Content Creation Powerhouse – You’ve built and delivered a variety of technical content, including white papers, architecture overviews, videos, training sessions, demos, and more. You understand what makes content engaging for technical audiences
  • Collaborative & Impact-Driven – You work seamlessly with engineers, sales, marketing, and product teams, managing multiple projects while bringing fresh ideas and initiatives to the table
  • AI/ML Trendspotter – You're a continual learner who stays ahead of the latest advancements in AI/ML and can educate both internal teams and the broader market on emerging trends

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 and speak the truth and can be their whole selves at work
  • We value all of you who believe that improvement 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

 

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 $175,000—$220,000 USD
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Tags: Architecture Big Data Content creation Engineering Excel Generative AI Machine Learning ML models MLOps Open Source Python R Responsible AI Snowflake Teaching

Perks/benefits: Career development Competitive pay Equity / stock options Health care Salary bonus Startup environment Wellness

Regions: Remote/Anywhere North America
Country: United States

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