DoiT is a global technology company that helps organizations leverage the cloud for business growth and innovation. The Data Platform Marketing Manager - SELECT will lead the marketing strategy for DoiT’s data lake and Snowflake optimization business, focusing on driving growth and market positioning while collaborating with sales and product leadership.
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 Growth and Digital
- Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem
- Drive performance against: Marketing sourced pipeline, Customer expansion, Cost per qualified meeting, Pipeline velocity
- Develop quarterly thought leadership themes around data efficiency
- Partner with Content, Growth, Sales, and RevOps to create visibility into: Cost per lead and cost per meeting, Conversion to opportunity, Pipeline contribution, Influenced revenue
Requirements:
- 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