SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Precisely is a global leader in data quality, data enrichment, and location intelligence, helping thousands of trusted brands make confident decisions with reliable data. The company is AI-first, embedding artificial intelligence throughout its products and problem-solving approach.
This Sales Engineer role is 100% remote and based on the Central or East Coast US. You will work closely with the Precisely Sales team to deliver technical product presentations, demonstrations, proof of concepts, solution discovery sessions, and pre-sales training both online and in person. You will act as a trusted technical advisor to customers, prospects, and partners, influencing them on Precisely's technical superiority while supporting Account Executives in championing and selling Precisely products.
Key responsibilities include:
- Participate in all aspects of the sales process, performing technical and business value discovery to identify customer pain points and solutions
- Present Precisely solutions through custom demos, workshops, proof of concepts, pilot projects, and assisted trials
- Leverage knowledge of SAP and Precisely products with consultative skills to assess customer needs and demonstrate solution value
- Work across modern tech stacks including Databricks, Snowflake, AWS, Azure, and GCP to build custom Precisely solutions using APIs, SDKs, MCPs, and AI agents
- Deliver end-to-end solutions that extend beyond individual products, acting as trusted advisors on cloud modernization and AI-driven initiatives
- Contribute to a library of reusable demos, documents, and pre-sales assets
- Travel approximately 25%-30% as required
Requirements:
- Bachelor's degree in Computer Science, Information Technology, Information Systems, or related technical field
- 2+ years of experience with SAP (ECC, S/4HANA, Fiori, SAP MDG, BTP, etc.)
- Proven relationship management experience with ability to communicate, present to, and influence both technical and operational stakeholders including C-Suite
- Hands-on experience with cloud-native infrastructure and SaaS architecture, including AWS
- Demonstrable experience with generative AI and MCP Servers
- Understanding of LLM fundamentals (prompting, context window, RAG, fine-tuning tradeoffs)
- Familiarity with AI/ML deployment patterns (APIs, cloud services, on-prem, edge)
- Ability to evaluate AI vendor claims critically and convert AI capabilities into customer outcomes
Preferred qualifications:
- Experience with data enrichment, location intelligence, data quality, data governance, data integration, SAP automation, or MDM solutions
- Experience developing solutions using Scala, Python, Java, or Spark frameworks in Databricks environments
