Customer Solutions Engineer

Intellicheck; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Intellicheck seeks a Customer Solution Engineer who blends technical depth with customer success. You’ll own presales engagements, design PoCs, and deliver compelling technical content while guiding data research efforts to diagnose issues and surface insights.

Your work spans from demonstrations to backend investigations, partnering with Sales, Success, and Marketing to ensure value delivery. You’ll translate complex data findings into actionable guidance for technical and non-technical

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Information Technology, or a related field.
• Hands-on experience querying and analyzing large datasets using Elasticsearch (aggregations, filters, index management) and/or SQL.
• A solid understanding of RESTful API design, API transaction logging, and web security fundamentals.
• Familiarity with event-based architecture, SaaS platform analytics, or identity verification technology is strongly preferred.
• Experience building lightweight internal tooling or scripts (Python preferred) for data extraction, reporting, or automated research workflows.
• Experience with ETL processes and transforming data from disparate sources.

Responsibilities

• Engage with prospective clients to assess their technical requirements, business challenges, and integration needs.
• Create and deliver compelling technical presentations, demonstrations, and proposals that clearly articulate the value of Intellicheck’s offerings.
• Collaborate with customers to design and execute Proofs of Concept (PoCs) to validate the effectiveness of proposed solutions.
• Partner with the sales team to respond to RFPs and RFIs, contributing technical depth and accuracy to submissions.
• Present the product roadmap to sales teams and customers, translating technical capabilities into business value.
• Provide pre-sales technical support, addressing customer inquiries around product functionality, compatibility, and integration.
• Prepare and maintain technical documentation including proposals, case studies, and technical specifications in cooperation with marketing.
• Conduct backend data research and investigation on specific customer accounts using Elasticsearch queries, SQL, and internal tooling to diagnose issues, validate transaction data, and surface actionable insights.
• Partner with Customer Success and Support teams to investigate customer-reported anomalies, reconcile data discrepancies, and provide clear, data-backed findings.
• Respond to escalated technical inquiries requiring deep-dive database or backend investigation, documenting findings and recommended resolutions.
• Build and maintain internal data research scripts, dashboards, and reporting tools that enable non-technical stakeholders to self-serve common customer data inquiries.
• Produce clear, concise summaries of research findings tailored to both technical and non-technical audiences.
• Help define and maintain data quality standards and alert thresholds that support proactive customer success.

Skills

Elasticsearch

SQL

RESTful API

Python

Data analysis

Web security

Data tooling

ETL

Education

Bachelor's Degree in Computer Science

Tools

Python scripts

Job description

Location: Remote

Intellicheck delivers real-time, authoritative identity verification by analyzing DMV-issued ID data with a single scan to detect fake or altered IDs. Our platform minimizes false positives while ensuring a seamless, trusted experience for users, supporting both in-person and digital transactions. We verify nearly 100 million IDs annually for major banks, credit card issuers, title insurance companies, and law enforcement agencies across North America. As a hardware vendor-neutral, omnichannel SaaS solution, Intellicheck works seamlessly with your existing mobile devices and scanners to provide reliable identity verification at scale.

Intellicheck is looking for a Customer Solution Engineer who thrives at the intersection of technology and client success. This role bridges technical presales, customer onboarding, and backend data research — making it ideal for someone with a strong technical foundation who enjoys engaging with clients and solving real-world problems, rather than spending the majority of their time writing code.

You will become a deep product expert on Intellicheck’s Identity Verification Solution, serving as a trusted technical advisor throughout the sales cycle and beyond. In addition to presales activities, you will conduct backend data research and investigation on specific customer accounts, supporting account health, escalations, and onboarding success. Clear communication, intellectual curiosity, and a customer-first mindset are essential.

What You'll Do

• Engage with prospective clients to assess their technical requirements, business challenges, and integration needs.
• Create and deliver compelling technical presentations, demonstrations, and proposals that clearly articulate the value of Intellicheck’s offerings.
• Collaborate with customers to design and execute Proofs of Concept (PoCs) to validate the effectiveness of proposed solutions.
• Partner with the sales team to respond to RFPs and RFIs, contributing technical depth and accuracy to submissions.
• Present the product roadmap to sales teams and customers, translating technical capabilities into business value.
• Provide pre-sales technical support, addressing customer inquiries around product functionality, compatibility, and integration.
• Prepare and maintain technical documentation including proposals, case studies, and technical specifications in cooperation with marketing.

Data Research & Backend Support

• Conduct backend data research and investigation on specific customer accounts using Elasticsearch queries, SQL, and internal tooling to diagnose issues, validate transaction data, and surface actionable insights.
• Partner with Customer Success and Support teams to investigate customer-reported anomalies, reconcile data discrepancies, and provide clear, data-backed findings.
• Respond to escalated technical inquiries requiring deep-dive database or backend investigation, documenting findings and recommended resolutions.
• Build and maintain internal data research scripts, dashboards, and reporting tools that enable non-technical stakeholders to self-serve common customer data inquiries.
• Produce clear, concise summaries of research findings tailored to both technical and non-technical audiences.
• Help define and maintain data quality standards and alert thresholds that support proactive customer success.

Additional Responsibilities

• Demonstrated ability to investigate backend systems and translate findings into clear, actionable summaries for both technical and non-technical stakeholders.
• Strong written and verbal communication skills with the ability to document findings, write runbooks, and deliver confident technical presentations.
• Proven ability to craft and deliver compelling technical demos and proposals to prospective clients.
• A customer-first mindset with the ability to balance technical rigor with the responsiveness and urgency required in customer-facing roles.
• Strong problem-solving skills, attention to detail, and comfort working in a fast-paced, remote environment.

What You Bring

• Bachelor’s Degree in Computer Science, Engineering, Information Technology, or a related field.
• Hands-on experience querying and analyzing large datasets using Elasticsearch (aggregations, filters, index management) and/or SQL.
• A solid understanding of RESTful API design, API transaction logging, and web security fundamentals.
• Familiarity with event-based architecture, SaaS platform analytics, or identity verification technology is strongly preferred.
• Experience building lightweight internal tooling or scripts (Python preferred) for data extraction, reporting, or automated research workflows.
• Experience with ETL processes and transforming data from disparate sources.

Intellicheck provides equal employment opportunities to current and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, sexual orientation, age, pregnancy, disability, handicap, citizenship, veteran or marital status, or any other legally recognized status entitled to protection under federal, state, or local anti-discrimination laws.