Enterprise Sales Engineer
Rimes Technologies26 days ago
Base Salary
$165k - $175k/yr
Responsibilities
- Lead technical and functional discovery sessions with prospective enterprise clients across the US and Canada.
- Design and articulate end-to-end investment data architectures covering data management, portfolio oversight, rebalancing, data quality, operational resilience, and regulatory workflows.
- Own technical pre-sales engagements, including product demonstrations, proof-of-concepts, RFPs, RFIs, executive presentations, and technical narratives.
- Translate client requirements into solution architectures, Statements of Work, implementation scopes, and managed-services proposals.
- Partner with Sales and Account Management on positioning, commercial strategy, and enterprise deal execution.
- Ensure effective handoff of pre-sales engagements to Professional Services and implementation teams.
- Collaborate with Sales, Marketing, Product, Engineering, and Delivery teams and contribute to internal enablement.
- Qualify product enhancement requirements and share client and market intelligence with Product, Engineering, and go-to-market teams.
Requirements
- Strong experience in financial services, investment management, or capital markets.
- Deep understanding of investment data domains and operational workflows, including pricing, benchmarks, corporate actions, reference data, and analytics.
- Proven experience in pre-sales, solutions engineering, or consulting within enterprise technology or data platforms.
- Ability to explain complex technical concepts clearly to technical, executive, investment, risk, compliance, and operations stakeholders.
- Experience addressing North American client challenges, including work with asset managers and asset owners.
- Familiarity with modern data platform technologies such as Databricks, Snowflake, or cloud-native data warehouses.
- Strong written and verbal communication, executive presentation, consultative client engagement, commercial awareness, and solution-scoping capabilities.
- Ability to work autonomously and collaboratively and leverage AI tools effectively for operational efficiency.
Benefits
- Work with large and sophisticated asset owners and managers.
- Influence product direction, solution design, and client success at enterprise scale.
- Operate in a collaborative, intellectually demanding, growth-focused environment.
- The role covers engagements across the US and Canada.
Tech Stack
DatabricksSnowflake
Categories
Solutions Engineering