Senior Platform Solution Consultant, Pre-Sales

What you’ll do

• Run point on 20+ active deals at any given time, partnered with an Account Executive
• Lead discovery calls with enterprise fraud ops teams and translate findings into implementable solution designs
• Negotiate integration architecture (REST vs. SDK, sync vs. async, endpoint-only vs. full orchestration) with technical buyers
• Co-author mutual action plans with Account Executives, identifying blockers and resolving security/legal issues
• Demo the no-code decisioning platform to audiences ranging from VP of Fraud to staff engineers
• Escalate real customer requirements into Product and Engineering

Key Responsibilities

• Configure and build decisioning workflows inside the RiskOS Platform during pre-sales
• Orchestrate identity, fraud, and device signals across the product suite into live workflows
• Set thresholds, wire reason codes into branching logic, define fallbacks and step-ups
• Ship decisioning flows that customers can put into production immediately upon close
• Execute clean handoffs with Post-Sales and Technical Project Management teams

Requirements

• 6+ years total experience, with at least 3 years in a customer-facing technical sales role (Solutions Consultant, Sales Engineer, Solutions Architect, Pre-Sales)
• Track record carrying technical ownership on complex enterprise deals ($500K+ ACV) with 6–12 month sales cycles
• Experience configuring, demoing, or deploying a SaaS platform as part of the sales motion
• Strong communicator across technical and executive audiences
• Comfort with APIs, JSON, basic SQL, and reasoning about distributed systems
• Bias toward action, ownership, and ruthless prioritization
• Willingness to travel up to 30%

Nice to Have

• Background in fraud, identity verification, decisioning, risk, KYC/AML, or fintech infrastructure
• Experience with no-code/low-code orchestration platforms or decisioning engines
• Familiarity with enterprise integration patterns (REST, webhooks, SDKs)
• Exposure to ML/statistics concepts (precision, recall, AUC, model performance)