Solutions Engineer

The position:

Solutions Engineers are trusted technical partners who work closely with customers and internal teams; Sales, Account Management, Product, and Engineering, to ensure successful implementation, adoption, and ongoing value from our solutions. This role is highly customer-facing and hands-on, requiring a strong blend of technical expertise, problem-solving, communication, and business acumen.

In partnership with Sales and Account Management, the Solutions Engineer supports new business opportunities and account growth by providing technical expertise, leading technical POCs, delivering results, and assisting with renewals and expansions. Internally, this role enables Sales and AM teams through repeatable workflows, best practices, and technical training. This is a collaborative, fast-paced role that requires strong ownership, organization, and the ability to manage multiple priorities. Occasional travel may be required (up to ~20%).

What you’ll do:

• Act as the primary technical resource for assigned customer accounts, owning technical success across the customer lifecycle
• Diagnose, troubleshoot, and resolve technical issues in close collaboration with Product and Engineering teams
• Communicate technical findings, solutions, and recommendations clearly to customers and internal stakeholders
• Deliver tailored product demonstrations aligned to customer use cases and business needs
• Maintain deep knowledge of product features, integrations, APIs, and best practices
• Translate complex technical concepts into clear, customer-friendly explanations for technical and non-technical audiences
• Support Sales by providing technical expertise, answering detailed technical questions, and designing solution approaches
• Lead technical proofs of concept (POCs), including execution, analysis, and results delivery
• Partner with Account Managers on renewals, expansions, and ongoing customer engagements
• Create and maintain repeatable workflows, best practices, and technical documentation for internal teams
• Provide technical training and enablement for Sales and Account Management teams
• Serve as a liaison between customers, Sales/AM, and Product teams
• Gather customer feedback, identify trends, and communicate insights to Product

You are:

• 2+ years of experience in a Solutions Engineer or similar customer-facing technical role within the fraud, risk, or identity verification space
• Strong familiarity with common fraud patterns, data signals, and decisioning workflows
• Solid understanding of APIs, data flows, web technologies, and modern SaaS architectures
• Proficient in using Postman or similar API tools to test requests, analyze responses, and troubleshoot integrations
• Ability to read and write simple scripts (e.g., Python, JavaScript, or comparable languages) to support debugging, testing, and lightweight tooling
• Strong analytical and problem-solving skills with a structured, methodical approach to diagnosing technical issues
• Comfortable working with structured data, numbers, Excel/Sheets, and basic reporting to interpret and communicate results
• Ability to translate complex technical concepts into clear, actionable guidance for both technical and non-technical stakeholders
• Proven ability to collaborate cross-functionally with Product, Engineering, Sales, and Account Management teams
• Customer-first mindset with a proactive approach to identifying needs, risks, and improvement opportunities
• Strong presentation and demonstration skills, with experience presenting to both technical and business audiences
• Highly organized with the ability to manage multiple accounts, priorities, and stakeholders simultaneously
• Strong sense of ownership and accountability, with consistent follow-through on commitments
• Detail-oriented approach to documenting workflows, processes, and customer learnings

Extra points:

• Experience with ML and model performance
• Experience in the payments industry
• Proficiency in any of the following technologies: SQL, JSON, data visualization tools (Tableau, metabase)