Sales Engineer

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

📋 Description

• Engage in all phases of the sales cycle, understanding and responding to client needs.

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

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

• Utilize knowledge of SAP and Precisely products alongside consultative skills to evaluate customer requirements and illustrate solution benefits.

• Develop customized Precisely solutions utilizing Databricks, Snowflake, AWS, Azure, and GCP with Precisely APIs, SDKs, MCPs, and Agents.

• Provide comprehensive solutions and guide clients on cloud modernization and AI-driven projects.

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

• Create reusable demos, documentation, and pre-sales resources to enhance team productivity.

• Partner with Precisely Account Executives to advocate and promote Precisely products.

• Serve as a trusted technical advisor for customers, prospects, and partners.

⛳️ Requirements

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

• Over 2 years of experience with SAP, including ECC, S/4HANA, Fiori, SAP MDG, or BTP.

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

• Experience in developing solutions with Scala, Python, JAVA, or Spark frameworks in environments such as Databricks is beneficial.

• Proven track record in relationship management.

• Capacity to communicate, present, and influence both technical and operational stakeholders, including C-Suite executives.

• Demonstrated experience with generative AI and MCP Servers.

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

• Willingness to travel approximately 25%-30% of the time.

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

• Understanding of AI/ML deployment patterns across APIs, cloud services, on-premises, and edge environments.

• Ability to critically assess AI vendor claims, benchmarks, limitations, and risks associated with hallucinations.

• Skill in translating AI capabilities into customer outcomes and identifying areas where AI adds value.

🏝️ Benefits

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

• Chance to work on AI-first products and data integrity solutions.

• Travel opportunities to engage with customers, prospects, and partners.