Senior Sales Engineer

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

📋 Description

• Engage in every phase of the sales process while interpreting and fulfilling client needs.

• Conduct technical and business value assessments with clients from various sectors, primarily within financial services.

• Showcase the value of Precisely solutions through tailored demonstrations, workshops, proofs of concept/value, pilot projects, and guided trials.

• Create bespoke Precisely solutions utilizing Databricks, Snowflake, AWS, Azure, GCP, APIs, SDKs, MCPs, and Agents.

• Provide comprehensive solutions and counsel customers on cloud modernization and AI-driven initiatives.

• Assist in strategic transformation efforts by applying industry best practices and real-world case studies.

• Represent Precisely at trade shows, conferences, and various marketing events approximately 3–4 times annually.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Information Technology, or a relevant Engineering/technical discipline.

• Over 4 years of experience in presales, product management, professional services, engineering, technical support, or technical account management.

• More than 4 years of experience in developing solutions using Scala, Python, Java, and Spark frameworks in platforms such as Databricks.

• Proven experience in relationship management with the ability to communicate, present to, and influence technical and operational stakeholders, including C-Suite executives.

• Demonstrated experience with Generative AI and MCP Servers.

• Practical experience with cloud environments and cloud-native infrastructure, including AWS and EKS.

• Proven experience with SaaS architecture and cloud computing.

• Willingness and capability to travel approximately 30% of the time.

• Experience with Data Enrichment, Location Intelligence, Data Quality, Data Governance, Data Integration, and/or MDM solutions is advantageous.

🏝️ Benefits

• 100% remote work available throughout the US.

• Opportunities for employee career development.

• Chance to influence product design and positioning.

• Opportunity to engage in AI-driven initiatives, cloud modernization, and strategic transformation programs.