Sr. Pre-Sales Engineer (Financial Services & Insurance)

Location: Remote in New York City, United States; travel as needed.

Annual on-target earnings: $200,000–$265,000 USD.

Company

A graph intelligence platform company providing enterprise knowledge graphs and graph database capabilities for intelligent applications and AI systems.

What you will do

• Partner with sales executives as a technical advisor and advocate for the graph data platform across Financial Services & Insurance.
• Lead technical discovery, opportunity qualification, presentations, platform and use-case demonstrations, proof-of-value activities, sizing, and technical documentation.
• Drive technology evaluations and help qualify and validate opportunities from a technical perspective to accelerate sales cycles and adoption.
• Co-create reference and solution architectures, integrating the platform with existing applications and architectures in AWS, Azure, GCP, or on-premise environments.
• Build trusted relationships with customer stakeholders, communicate customer needs and product feedback internally, and participate in account-based marketing events, conferences, and trade shows.
• Stay current on platform capabilities and third-party integrations while fostering teamwork, transparency, creativity, and continuous improvement.

Requirements

• 5+ years of customer-facing experience in Sales, Pre-Sales, Solutions Engineering, Solutions Architecture, Technical Consulting, or a similar capacity, ideally in a high-growth, scaling environment.
• Experience with data technologies in enterprise data architecture, data analytics, data science, or cloud data architecture.
• Hands-on proficiency with relational SQL and/or NoSQL databases and at least one of Python, Java, JavaScript, or Go.
• Familiarity with GenAI, LLMs, and Agentic AI is required.
• Experience designing, developing, and implementing data solutions in AWS, Azure, GCP, or on-premise environments.
• Ability to communicate technical ideas to technical and non-technical audiences through presentations, whiteboarding, and platform demonstrations.
• Knowledge of financial services and/or insurance is required to communicate the role of graph databases in future technology strategies.
• Ability to translate technical concepts into valuable business outcomes in the financial sector.
• Entrepreneurial mindset with the ability to prioritize, pivot, and solve problems.

Nice to have

• Working knowledge of graph databases such as hirify.global, TigerGraph, OrientDB, or JanusGraph.
• Passion for learning new technologies, especially graph technologies, developing data models, and leading change management.

Culture & Benefits

• Inclusive, diverse, equitable, collaborative, and intellectually honest workplace.
• Medical, dental, and vision benefits for US employees.
• 401(k), paid time off, and certain leaves of absence.
• Stock option grant eligibility and annual bonus eligibility for certain roles.
• Work on a graph intelligence platform used by enterprises across industries, with emphasis on customer success and innovation.