Senior Sales Engineer, Data Products
New
C
CentralReachData analytics
Location: Remote - USFull-TimeSenior
Salary125,000 - 160,000 USD per year
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Job Details
- Experience
- 5+ years in sales engineering, solutions consulting or pre-sales architecture supporting a technical B2B product in data infrastructure, analytics, developer tools, observability or enterprise AI
- Required Skills
- SnowflakeRESTful APIs
Requirements
- Have 5+ years in sales engineering, solutions consulting, or pre-sales architecture supporting a technical B2B product in data infrastructure, analytics, developer tools, observability, or enterprise AI.
- Demonstrate a track record of technical evaluations that reached a decision and deals that were technically won.
- Have experience selling to data and engineering leaders as well as business buyers such as CEOs, CFOs, and COOs.
- Explain complex methodology to non-technical executives while maintaining precision.
- Show working knowledge of modern data architecture, including warehouses, databases, APIs, cloud infrastructure, and pipelines.
- Understand data governance, de-identification, suppression, entitlements, and audit requirements for externally facing analytics.
- Use AI tooling, including LLMs, code copilots, and semantic search, as a core part of the workflow.
- Preferred: experience with data, analytics, cloud, infrastructure, or observability companies and platforms such as Snowflake, Databricks, dbt, or Looker.
- Preferred: experience with enterprise security review, procurement, and technical diligence.
- Preferred: experience building an early sales engineering organization or selling an emerging category.
- Preferred: healthcare data experience, such as claims, quality measures, or de-identification standards.
Responsibilities
- Own the technical portion of the sales process from discovery through technical validation and close.
- Partner with Account Managers and Account Executives on account strategy, qualification, deal planning, and stakeholder management.
- Evaluate the existing customer base with the VP of Data Products and help identify product opportunities and target accounts.
- Lead technical discovery and translate customer needs into solution designs across Advanced BI, Data Warehouse, APIs, and Benchmarking.
- Deliver tailored demos that connect product capabilities to customer outcomes.
- Scope and run proofs of concept and technical evaluations with defined success criteria and timelines.
- Build and defend business cases, including TCO and ROI comparisons with in-house alternatives.
- Address technical objections involving architecture, security, data access, scalability, deployment, APIs, entitlements, and integration.
- Create reusable evaluation plans, ROI models, solution patterns, and technical collateral.
- Provide customer and competitive feedback to Product and Engineering, and support the post-close handoff.
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