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DataCamp

Subscription-based online data science education

Senior Product Marketing Manager - B2B

Product MarketingConfirmed live in the last 24 hours
Full-timeUnited KingdomNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of B2B product marketing experience in a data or AI software-as-a-service company.
  • A proven track record in the data or AI space, with a deep understanding of industry trends and the competitive landscape.
  • Demonstrated success leading and executing go-to-market strategies with measurable impact on revenue, adoption, or market share.
  • Exceptional English writing and presentation skills, with a portfolio showcasing compelling messaging, content, and thought leadership.
  • Ability to work in a fast-paced, dynamic environment with a high workload and operate independently when needed.

Responsibilities

  • Lead B2B marketing campaigns and drive go-to-market rollouts with commercial teams, focusing on curriculum, product positioning, and creative initiatives.
  • Develop and refine customer-centric positioning that highlights the product's differentiation.
  • Produce sales and marketing materials for the buyer’s journey, including pitch decks, blogs, webinars, and case studies.
  • Collaborate with revenue and customer success teams to gather testimonials and refine messaging based on customer feedback.
  • Build relationships with analysts and communicate product capabilities and roadmap.
  • Track market trends and competitor strategies to identify opportunities and threats.

About the Company

DataCamp

Subscription-based online data science education

DataCamp provides online data science education through a subscription-based platform. It offers self-paced courses, skill tracks, and career tracks focused on data analysis, machine learning, and statistics, using tools like Python, R, and SQL. Users access video tutorials and hands-on coding challenges in a web browser, with a free entry tier and paid plans for individuals and enterprises. DataCamp differentiates itself by concentrating specifically on data science skills and offering tailored business plans for upskilling teams. Its goal is to help individuals and organizations build practical data literacy and data-handling capabilities.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$31.2M
Headquarters
New York City, New York
Founded
2013

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