Senior Sales Engineer, Data Products

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the technical aspects of the sales cycle from initial discovery to technical validation and closing.

• Collaborate with Account Managers and Account Executives to develop account strategies, qualify prospects, plan deals, and manage stakeholders.

• Assess the current customer portfolio to determine product suitability and create target lists in partnership with Account Managers.

• Conduct thorough technical discovery to understand customer architecture, workflows, challenges, decision-making criteria, and business goals.

• Convert insights into solution designs involving Advanced BI, Data Warehousing, APIs, and Benchmarking.

• Provide customized demonstrations linked to quantifiable customer results.

• Plan and execute proofs of concept and technical assessments with clearly defined success metrics.

• Develop and justify business cases, including Total Cost of Ownership (TCO) and Return on Investment (ROI) analyses.

• Align customers with the appropriate products while anticipating future requirements.

• Address technical objections related to architecture, security, data accessibility, scalability, deployment, APIs, entitlements, and integration.

• Create reusable evaluation frameworks, ROI models, solution patterns, and technical documentation.

• Offer insights to Product and Engineering teams and assist with the post-sale transition.

• Utilize AI tools, including Large Language Models (LLMs), code assistants, and semantic search as integral components of the workflow.

⛳️ Requirements

• Minimum of 5 years of experience in sales engineering, solutions consulting, or pre-sales architecture for a technical B2B product in areas such as data infrastructure, analytics, developer tools, observability, or enterprise AI.

• Proven success in evaluations resulting in decisions and technically secured deals.

• Experience engaging with data and engineering leaders as well as business decision-makers like CEOs, CFOs, and COOs.

• Outstanding written and verbal communication skills; capable of conveying complex methodologies to non-technical executives clearly.

• Comfortable in a team environment that is still developing its processes, with a proactive approach.

• Ability to disqualify and challenge inadequate requirements.

• Knowledge of how architectural and delivery choices impact pricing, packaging, and renewal results, including consumption-based pricing models.

• Familiarity with modern data architecture, encompassing data warehouses, databases, APIs, cloud infrastructure, and data pipelines.

• Understanding of data governance, de-identification, suppression, entitlements, and audit demands for externally facing analytics.

• Sufficient architectural knowledge to engage in credible discussions with data leaders.

• Preferred qualifications include experience with a data, analytics, cloud, infrastructure, or observability company; knowledge of Snowflake, Databricks, dbt, or Looker; background in enterprise security review, procurement, and technical due diligence; experience in early-stage sales engineering organizations or emerging-category environments; exposure to healthcare data.

🏝️ Benefits

• Competitive salary package.

• Comprehensive health insurance options.

• Generous paid time off.

• 401(k) plan with matching contributions.

• Paid parental leave for full-time staff.

• Flexible hybrid work arrangements.

• Support for career growth and development.

• Wellness initiatives.

• Opportunities to contribute to the community through the CR Cares™ initiative.