Post Sales Solution Consultant, Big Tech/AI
Post-sales technical advisor for Big Tech/AI customers at Socure. Designs scalable identity/fraud solutions, leads POCs with Data Science, translates technical concepts for executives, and funnels insights to Product. Requires enterprise solutions consulting experience and strong technical depth in APIs, analytics, and ML-adjacent tech.
About the job
Responsibilities
- Own post-sales technical solutioning for strategic Big Tech/AI customers, serving as a trusted advisor across implementation and ongoing customer engagements.
- Partner with customers to uncover business goals, operational constraints, and success criteria, then design scalable solutions that maximize value from Socure’s platform.
- Lead or support proof-of-concept design and execution in partnership with Data Science, ensuring clear metrics, governance, and measurable outcomes.
- Coordinate cross-functional teams across Sales, Product, Engineering, Customer Success, and Marketing to drive delivery, manage risks, and keep stakeholders aligned.
- Translate complex technical concepts, data findings, and product capabilities into clear recommendations for both technical and executive audiences.
- Bring industry and domain expertise to customer strategies, especially where identity, fraud, risk, analytics, and regulated environments intersect.
- Funnel field insights back into Product and Product Marketing to influence roadmap, messaging, and future solution innovation.
- Help elevate the broader Solution Consulting practice by sharing best practices, mentoring teammates, and contributing reusable frameworks or playbooks.
Requirements
- Significant experience in solutions consulting, sales engineering, professional services, or customer-facing technical consulting, ideally in enterprise software or SaaS environments.
- A track record of leading enterprise-level engagements with multiple stakeholders and complex technical or operational requirements.
- Strong technical depth across APIs, data flows, analytics, ML/DS-adjacent technologies, and modern software delivery environments.
- Ability to synthesize complex technical or statistical observations into clear business recommendations and compelling presentations.
- Experience acting as a bridge between technical and non-technical stakeholders, with strong executive communication and stakeholder management skills.
- A customer-first mindset with strong ownership, sound judgment, and comfort operating in a fast-paced, mission-driven company.
Nice-to-Haves
- Experience in identity, fraud, fintech, risk, or related data- and AI-driven domains.
Skills
APIs, Data Flows, Analytics, Machine Learning, Data Science, Software Delivery, Proof Of Concept, Stakeholder Management, Executive Communication
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