Technical Product Marketing Director, Domino Data Lab
Data Science
$175-220k
Enterprise AI platform
Open for applications
Enterprise AI platform
201-500 employees
Open for applications
$175-220k
201-500 employees
Company mission
To unleash the power of data science to address the world's most important challenges.
Role
Who you are
- 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 the job involves
- 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
- 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
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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