Sales Engineer
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Job Description
Sales Engineer presenting and building Precisely’s AI-powered data quality, enrichment, and location intelligence solutions. Advising enterprise customers on SAP, cloud modernization, and scalable data strategies.
Responsibilities:
- Participate in all aspects of the sales process, interpreting and addressing client requirements
- Perform technical and business value discovery with customers to identify pain points and possible solutions
- Present Precisely’s solutions through custom demos, workshops, proofs of concept/value, pilot projects, and assisted trials
- Use SAP and Precisely product knowledge with consultative skills to assess customer needs and demonstrate solution value
- Build custom Precisely solutions across Databricks, Snowflake, AWS, Azure, and GCP using Precisely APIs, SDKs, MCPs, and Agents
- Deliver end-to-end solutions supporting cloud modernization and AI-driven initiatives
- Advise customers on strategic transformation programs, modern data strategies, industry best practices, and real-world use cases
- Contribute reusable demos, documents, and pre-sales assets
- Collaborate with Precisely Sales teams and Account Executives as a trusted technical advisor
- Deliver online and in-person technical product presentations, demonstrations, proof of concepts, solution discovery/scoping, and pre-sales training
Requirements:
- Bachelor’s in Computer Science, Information Technology, Information Systems, or a related technical field
- 2+ years of experience with SAP (ECC, S/4HANA, Fiori, SAP MDG, BTP, etc.)
- Experience with data enrichment, location intelligence, data quality, data governance, data integration, SAP automation, or MDM solutions is a plus
- Experience developing solutions using Scala, Python, JAVA, Spark frameworks in environments like Databricks is a plus
- Proven relationship management experience, with the ability to communicate with, present to, and influence both technical and operational stakeholders, including the C-Suite
- Demonstrable experience with generative AI and MCP Servers
- Hands-on experience with cloud-native infrastructure and SaaS architecture, including platforms like AWS
- Understanding of LLM fundamentals, including prompting, context window, RAG, and fine-tuning tradeoffs
- Familiarity with AI/ML deployment patterns, including APIs, cloud services, on-prem, and edge
- Ability to critically evaluate AI vendor claims, benchmarks, limitations, and hallucination risks
- Ability to convert AI capabilities into customer outcomes and identify where AI delivers value
- Approximately 25%-30% travel required
Benefits:
- 100% remote work anywhere in Central or East Coast US
- Travel opportunities/requirements of approximately 25%-30%
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