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[Remote] Data Platform Marketing Manager - SELECT by DoiT

Remote · USA Full-time New today

Note: The job is a remote job and is open to candidates in USA. DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. The Data Platform Marketing Manager - SELECT is responsible for driving growth, pipeline, and market positioning for DoiT’s data lake and Snowflake optimization business, serving as the centralized marketing owner of the business unit’s go-to-market strategy.

Responsibilities

  • Serve as the primary marketing lead for the SELECT / Data Platform business unit
  • Translate revenue targets and expansion goals into a unified quarterly marketing strategy
  • Define ICP segmentation across Snowflake customers, enterprise data teams, and cloud data platform operators
  • Centralize campaign prioritization across Growth, Content, BDR/MDR, and Creative
  • Ensure SELECT positioning is clearly differentiated in the data optimization market
  • Lead and direct cross-functional execution across:
  • Paid search around Snowflake optimization
  • LinkedIn targeting for data engineering and FinOps leaders
  • Retargeting strategies tied to data workload interest
  • SDR campaign enablement and follow-up strategy
  • Data platform optimization guides
  • Data lake cost efficiency playbooks
  • Case studies showing measurable cost reduction outcomes
  • Economic value narratives tied to cost savings
  • Campaign themes for data optimization
  • Visual positioning aligned to enterprise data workloads
  • Develop and manage strategic campaign briefs that align messaging, audience, and economic value
  • Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem:
  • Data Platform digital campaigns
  • Data platform optimization webinars
  • Executive roundtables for data and FinOps leaders
  • Campaign landing pages tied to measurable cost outcomes
  • Content programs built around “data platform optimization”
  • Drive performance against:
  • Marketing sourced pipeline
  • Customer expansion
  • Cost per qualified meeting
  • Pipeline velocity
  • Develop quarterly thought leadership themes around data efficiency
  • Position SELECT as the intelligent optimization layer for Snowflake and additional data platforms
  • Align with Product and BU Sales to highlight roadmap and innovation
  • Ensure conversion from registrant to opportunity is structured and measurable
  • Partner with Content, Growth, Sales, and RevOps to create visibility into:
  • Cost per lead and cost per meeting
  • Conversion to opportunity
  • Pipeline contributionInfluenced revenue
  • Continuously refine programs based on performance data and economic outcomes

Skills

  • 3 to 5 years in B2B marketing, demand generation, or product marketing
  • Experience marketing to data engineering, data platform, or FinOps audiences
  • Familiarity with Snowflake, data lakes, or cloud data workloads
  • Strong strategic planning capability combined with hands-on execution
  • Demonstrated success driving pipeline growth in a technical B2B environment
  • Experience partnering closely with sales leadership
  • Thinks in terms of revenue, expansion, and economic value
  • Understands enterprise data teams and cloud cost pressures
  • Comfortable owning a business unit narrative
  • Can centralize and prioritize across competing marketing inputs
  • Moves fluidly between strategy and execution
  • Data-driven and outcome-oriented

Benefits

  • Unlimited Vacation
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program

Company Overview

  • DoiT Cloud Intelligence intent-aware FinOps platform goes beyond cost optimization to drive reliability, performance, and security. It was founded in 2011, and is headquartered in Santa Clara, California, USA, with a workforce of 501-1000 employees. Its website is https://www.doit.com.
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