Sales Engineer

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

📋 Description

• Engage in all facets of the sales cycle, understanding and addressing client needs.

• Conduct technical and business value assessments with customers to uncover challenges and potential solutions.

• Showcase Precisely’s offerings through tailored demonstrations, workshops, proofs of concept/value, pilot initiatives, and assisted trials.

• Leverage knowledge of SAP and Precisely products along with consultative skills to evaluate customer requirements and illustrate solution benefits.

• Create customized Precisely solutions across Databricks, Snowflake, AWS, Azure, and GCP using Precisely APIs, SDKs, MCPs, and Agents.

• Provide comprehensive solutions that support cloud modernization and AI-driven projects.

• Guide customers on strategic transformation initiatives, modern data approaches, industry best practices, and practical use cases.

• Contribute reusable demos, documentation, and pre-sales resources.

• Work in collaboration with Precisely Sales teams and Account Executives as a trusted technical advisor.

• Conduct online and in-person technical product presentations, demonstrations, proofs of concept, solution discovery/scoping, and pre-sales training.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related technical discipline.

• Over 2 years of experience with SAP (ECC, S/4HANA, Fiori, SAP MDG, BTP, etc.).

• Experience in data enrichment, location intelligence, data quality, data governance, data integration, SAP automation, or MDM solutions is advantageous.

• Familiarity with developing solutions using Scala, Python, JAVA, Spark frameworks in environments such as Databricks is a plus.

• Proven experience in relationship management, capable of communicating with, presenting to, and influencing both technical and operational stakeholders, including C-Suite executives.

• Demonstrable experience with generative AI and MCP Servers.

• Practical experience with cloud-native infrastructure and SaaS architecture, including platforms like AWS.

• Understanding of LLM fundamentals, including prompting, context window, RAG, and fine-tuning trade-offs.

• Knowledge of AI/ML deployment patterns, including APIs, cloud services, on-premises, and edge solutions.

• Ability to critically assess AI vendor claims, benchmarks, limitations, and hallucination risks.

• Capacity to translate AI capabilities into customer results and pinpoint areas where AI adds value.

• Approximately 25%-30% travel is required.

🏝️ Benefits

• 100% remote work opportunity from anywhere in Central or East Coast US.

• Travel opportunities/requirements of around 25%-30%.