Company Name: Pipl

Job Details: Hiring,Remotely,in,USA,Remote,Mid,level

Job Url: https://builtin.com/job/solutions-engineer/8128000

Job Description: 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 lifecycleDiagnose, troubleshoot, and resolve technical issues in close collaboration with Product and Engineering teamsCommunicate technical findings, solutions, and recommendations clearly to customers and internal stakeholdersDeliver tailored product demonstrations aligned to customer use cases and business needsMaintain deep knowledge of product features, integrations, APIs, and best practicesTranslate complex technical concepts into clear, customer-friendly explanations for technical and non-technical audiencesSupport Sales by providing technical expertise, answering detailed technical questions, and designing solution approachesLead technical proofs of concept (POCs), including execution, analysis, and results deliveryPartner with Account Managers on renewals, expansions, and ongoing customer engagementsCreate and maintain repeatable workflows, best practices, and technical documentation for internal teamsProvide technical training and enablement for Sales and Account Management teamsServe as a liaison between customers, Sales/AM, and Product teamsGather customer feedback, identify trends, and communicate insights to ProductYou are: 2+ years of experience in a Solutions Engineer or similar customer-facing technical role within the fraud, risk, or identity verification spaceStrong familiarity with common fraud patterns, data signals, and decisioning workflowsSolid understanding of APIs, data flows, web technologies, and modern SaaS architecturesProficient in using Postman or similar API tools to test requests, analyze responses, and troubleshoot integrationsAbility to read and write simple scripts (e.g., Python, JavaScript, or comparable languages) to support debugging, testing, and lightweight toolingStrong analytical and problem-solving skills with a structured, methodical approach to diagnosing technical issuesComfortable working with structured data, numbers, Excel/Sheets, and basic reporting to interpret and communicate resultsAbility to translate complex technical concepts into clear, actionable guidance for both technical and non-technical stakeholdersProven ability to collaborate cross-functionally with Product, Engineering, Sales, and Account Management teamsCustomer-first mindset with a proactive approach to identifying needs, risks, and improvement opportunitiesStrong presentation and demonstration skills, with experience presenting to both technical and business audiencesHighly organized with the ability to manage multiple accounts, priorities, and stakeholders simultaneouslyStrong sense of ownership and accountability, with consistent follow-through on commitmentsDetail-oriented approach to documenting workflows, processes, and customer learningsExtra points:	Experience with ML and model performanceExperience in the payments industryProficiency in any of the following technologies: SQL, JSON, data visualization tools (Tableau, metabase)