Senior Solutions Engineer

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August 26

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Brightfield

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AI • B2B • Fintech

Brightfield is a leading provider of extended workforce market intelligence, utilizing its AI platform, TDX, to help global businesses identify and realize savings opportunities in contingent workforce spending. By automating time-consuming tasks and enabling insightful SOW analysis, Brightfield empowers organizations to negotiate supplier contracts with greater certainty and achieve significant ROI across various industries, including healthcare, technology, and financial services.

51 - 200 employees

Founded 2006

🤝 B2B

💳 Fintech

📋 Description

•Act as the technical lead during the presales process, supporting the sales team through product demonstrations, discovery calls, business cases, and architecture deep dives. •Develop and present business cases that quantify the value of TDX, aligning technical capabilities with customer goals and ROI expectations. •Explain the value of Brightfield’s AI and data capabilities within the TX platform. This includes how we have architected and implemented our AI pipelines, LLMs and data pipelines. •Design integration approaches that align with customer environments—ranging from interoperability and data exchange across various sources, APIs, and data pipelines •Present and explain our platform architecture, AI strategy, security model, and data processing practices with confidence and clarity. •Support prospects through technical due diligence, security reviews, and IT risk assessments. •Serve as a bridge between Sales, Product, Customer Success and Services to ensure smooth handoffs and customer success post-sale.

🎯 Requirements

•7+ years in software presales, solutions consulting, or a similar customer-facing technical role. •Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field preferred. •Strong technical foundation in: •SaaS delivery models and associated operational and security considerations •AI and analytics platforms •Integration design patterns (e.g., flat file, SFTP, APIs) •Cloud platforms (e.g., AWS, Azure), encryption, communications security, and authentication protocols (SAML, LDAP, OAuth) •Enterprise risk and IT governance frameworks •Data analytics and machine learning concepts and their application to enterprise solutions •Experience supporting complex sales cycles with enterprise customers, particularly those with stringent IT/security requirements.