Sales Engineer

Tiger Graph is a platform for advanced analytics and machine learning on connected data. Tiger Graph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning.

Fortune 500 organizations and the most innovative mid-size and startup companies choose Tiger Graph to accelerate their analytics, AI, and machine learning:

• Seven out of the top ten global banks use Tiger Graph for real-time fraud detection.

• Over 50 million patients receive care path recommendations to assist them on their wellness journey.

• 300 million consumers receive personalized offers with recommendation engines powered by Tiger Graph.

• Tiger Graph reduces power outages by optimizing the energy infrastructure for 1 billion people.

As a Sales Engineer, you are the primary technical advisor to prospective customers throughout the sales cycle. You’ll partner with Sales Directors to uncover customer challenges, demonstrate Tiger Graph’s value, and guide opportunities from discovery through technical validation to close. We’re looking for a commercially minded engineer who can turn complex technical capabilities into measurable business outcomes.

• 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 Tiger Graph 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.

• 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, No
  
  SQL, 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.
• Comfortable collaborating across a distributed team and traveling up to 30%.

The anticipated salary range for candidates is $130,000 - $160,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, type and length of experience within the industry, education, etc. Tiger Graph is a multi-state employer and this salary range may not reflect positions that work in other states.