Pre-Sales Solution Consultant, Big Tech/AI

Responsibilities

• Own pre-sales solution consulting for strategic Big Tech and AI customers from qualification through close.
• Partner with Account Executives and sales leadership to understand customer priorities, business objectives, technical requirements, and decision criteria.
• Lead discovery sessions covering identity, fraud, risk, onboarding, compliance, and operational workflows.
• Design scalable solutions aligned with platform capabilities and customer outcomes.
• Deliver product demonstrations, technical workshops, architecture discussions, and executive presentations.
• Lead or support proof-of-concept, proof-of-value, and data study design and execution with Data Science.
• Define POC success criteria, assumptions, evaluation metrics, implementation considerations, and risks.
• Translate technical, analytical, and statistical findings into recommendations for technical, business, and executive audiences.
• Support RFPs, RFIs, security reviews, technical questionnaires, proposals, statements of work, and related sales deliverables.
• Collaborate with Product, Engineering, Data Science, Customer Success, and Marketing.
• Build technical win strategies and support high-quality handoffs to post-sales teams.
• Create reusable assets, frameworks, and playbooks for the Solution Consulting team.
• Mentor teammates and contribute to technical excellence and continuous learning.

Requirements

• Significant experience in solutions consulting, sales engineering, professional services, technical consulting, or a related customer-facing role.
• Proven experience leading enterprise sales engagements with multiple stakeholders and complex technical or operational requirements.
• Strong experience with discovery, solution design, technical demonstrations, architecture discussions, and proof-of-concept execution.
• Technical depth across RESTful APIs, data flows, analytics, machine learning or data science-adjacent technologies, and modern software delivery environments.
• Experience translating complex technical, analytical, or statistical concepts into clear business recommendations.
• Familiarity with identity verification, fraud prevention, risk management, fintech, financial services, Big Tech, AI, or other data-intensive domains.
• Ability to build credibility with technical and executive audiences.
• Strong presentation, communication, stakeholder management, and cross-functional collaboration skills.
• Experience with enterprise SaaS, cloud platforms, APIs, data products, or technology integrations.
• Customer-first mindset, sound judgment, ownership, and comfort in a fast-paced environment.
• Bachelor's degree or equivalent practical experience.

Compensation

• Annual salary: $160,000–$185,000.