Senior Solution Consultant, Post-Sales

Responsibilities

• Foster relationships with key stakeholders, from champions to executive sponsors and economic buyers
• Serve as the intellectual peer of subject matter experts in strategic accounts, ensuring advisory-level engagement
• Collect and analyze customer feedback data to establish shared understanding of solution performance and value
• Work cross-functionally with Product & Engineering to align feedback mechanisms with next-gen innovations
• Own the QBR process to reinforce value, align on strategic priorities, and surface innovation opportunities
• Own upsell and cross-sell POCs to demonstrate value of additional solutions within existing accounts
• Lead strategic narrative and quantitative analysis during POCs, showcasing how new solutions address customer pain points and deliver measurable lift
• Ensure adoption of next-gen models, including key features, incremental lifts, and real-world performance deltas
• Translate new qualitative innovations into quantitative lift to ensure prioritization
• Handle customer questions about specific scoring decisions, fraud trends, or optimization opportunities
• Collaborate with Data Science and Product to provide clear, actionable insights

Requirements

• Bachelor's Degree in business administration, engineering, math, economics, statistics, computer science or equivalent experience
• 6+ years of professional work experience with 3+ years in professional services, customer management, or sales engineering
• Understanding of fraud typologies including third party fraud, first party fraud, account takeover, social engineering, and identity theft
• Understanding of money movement, payments, and banking services
• Experience leading enterprise-level engagements dealing with analytics, technology, and/or enterprise software
• Ability to negotiate resources and priorities with multiple internal and customer stakeholders
• Deep understanding of SaaS sales methodologies (MEDDICC, Challenger)
• Ability to synthesize complex statistical observations into clear results and concrete recommendations
• Flawless communication skills with ability to flex between concise and detail-oriented
• Prior experience conducting credit/fraud risk management analysis, threshold optimization, and swap sets
• Prior experience working with document image capture, OCR, or CV tools
• Prior domain expertise with FCRA, ECOA, GLBA, PATRIOT Act, BSA, and other banking regulations
• Strong technical depth (ML/DS technologies, SDLCs, RESTful APIs, RDBMS)
• Comfort with up to 30% travel

Nice-to-Haves

• Experience with identity verification and fraud prevention platforms