Product Marketing Director, Data Science/AI/ML

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Hiring Remotely in US
Remote
194K-230K Annually
7+ Years Experience
Artificial Intelligence • Machine Learning
Unleash Enterprise AI, one innovation at a time.
The Role

At Domino Data Lab, we have an ambitious vision for data science. Our platform helps data science teams accelerate research, increase collaboration, and rapidly deploy predictive models.  Our customers are the most sophisticated analytical organizations in the world, including companies like Bristol Myers Squibb, Allstate, Bayer, and Red Hat. Backed by Sequoia Capital, Coatue Management, Bloomberg Beta, and Zetta Venture Partners, we are at the epicenter of the data science revolution, helping companies develop the next breakthrough in medicine, build better cars, or recommend the best song play next.

The Product Marketing team at Domino represents the voice of the customer before, during and after launch, defining the key value propositions of Domino and aligning our company. We must define a marketing strategy to win the market and then create crisp, compelling positioning and messaging collateral to enable our field and partners to land more deals faster. 

 In your first year, your impact will be   

  • Articulate Domino’s platform capabilities and unique value proposition through messaging and content development
  • Build integrated campaigns partnering with the marketing teams driving demand and strong funnel conversions
  • Develop core messaging and content for digital programs, field marketing, sales engagements, and events
  • Conduct market research to inform content development and enablement
  • Inform mid/long-term product roadmap through quarterly competitive, customer, and market insights 
  • Partner with solution SMEs to build sales tools, enablement, and training, such as sales plays, presentations and prospecting templates

  • An experienced PMM Leader for Enterprise B2B product who has launched product with pricing/revenue implications
  • Foundational knowledge of data science, machine learning and MLOps platforms is required. Relevant experience in big data, data analytics, AI/ML technologies marketing to technical and executive personas
  • Expertise with digital transformation, business process automation, high performance computing
  • Excellent written, oral and presentation skills with an innate attention to detail

  • 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.

Compensation Range

$194,000$230,000 USD

The Company
San Francisco, CA
340 Employees
Hybrid Workplace
Year Founded: 2013

What We Do

Domino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.ai

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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Domino Data Lab Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
San Francisco, CA

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