Sales Engineer

TigerGraph hires a Sales Engineer to serve as the primary technical advisor to prospective customers throughout the sales cycle. The role partners with sales teams to uncover customer challenges, demonstrate value, and guide opportunities from discovery through technical validation and close.

Responsibilities:

• Partner with Sales Directors on account strategy, territory planning, and opportunity qualification to drive new business and expansion
• Lead technical discovery to understand customer objectives, architectures, and pain points, and translate them into use cases and solution designs
• Build and deliver tailored demos, workshops, and architecture sessions for technical and executive audiences
• Design and run POCs and POVs with clear success criteria and mutual commitments
• Position TigerGraph against other graph databases, relational databases, and data platforms, and resolve technical objections
• Build relationships with technical champions, influencers, and decision-makers
• Keep internal teams informed on evaluation progress and risks, and hand off smoothly to Customer Success, Professional Services, and partners
• Share customer feedback and competitive intelligence with Product and Sales Leadership
• Support field marketing events and webinars, and contribute reusable demos and pre-sales collateral

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
• 5+ years in enterprise software pre-sales, solutions consulting, or a similar customer-facing technical role, with success in complex sales cycles
• Strong SQL and working knowledge of Python or a similar language
• Solid understanding of relational, NoSQL, and graph databases; data modeling and integration (ETL/ELT); APIs; and distributed systems
• Working knowledge of AWS, Azure, and GCP
• Experience designing and validating solution architectures for SaaS, cloud, or on-premises deployments
• Experience with graph analytics, connected data, or graph-based use cases
• Exposure to AI/ML, GenAI, or GraphRAG
• Strong communication, a consultative approach, and the ownership to manage evaluations, risks, and next steps independently