Senior Solution Consultant – Post-Sales, Platform

About the role

We're looking for a Senior Solution Consultant, Post-Sales to drive the successful onboarding and measurable outcomes for clients leveraging Socure's AI-powered identity verification and fraud prevention platform RiskOS.

Responsibilities

• Lead the end-to-end platform implementation process, ensuring timely and successful deployments.

• Collaborate with clients to define solution architecture, configure platform components, and tailor implementations to meet specific business needs.

• Develop and refine best practices for scalable, high-impact implementations.

• AI-Driven Onboarding & Implementation

  • Lead onboarding efforts that put AI and automation front and center — configuring Socure's intelligent decisioning engines, ML model outputs, and automated workflows to align with each client's risk and identity strategy.

  • Guide clients through best practices for integrating AI-powered signals into their existing tech stacks, ensuring they're positioned to get immediate value from Socure's predictive capabilities.

• Data Optimization & Performance Tuning

  • Partner with clients to analyze acceptance rates, false positive/negative trends, and model performance data — identifying opportunities to fine-tune configurations and maximize accuracy.

  • Use data and intelligent tools to proactively surface insights and recommendations that improve identity pass rates, reduce fraud exposure, and drive operational efficiency.

  • Collaborate with internal data and product teams to ensure client environments are calibrated for optimal model performance over time.

• Automation & Workflow

  • Enable clients to design and implement automated decisioning flows that reduce manual review, accelerate approvals, and scale intelligently with their business.

  • Support the configuration of rules engines, thresholds, and AI-assisted workflows that replace repetitive manual processes with intelligent automation.

  • Identify opportunities and implement and automated repeatable processes to enable faster, more consistent client deployments.

• Technical Support & Troubleshooting

  • Diagnose and resolve technical issues during deployment, with a particular focus on data pipeline integrity, API performance, and AI model response handling.

  • Serve as a knowledgeable resource for clients navigating complex integration scenarios, escalating strategically when needed.

• Training, Enablement & Thought Leadership

  • Deliver engaging training sessions that help client teams understand not just how to use Socure's platform, but why the AI works — building confidence and internal champions.

  • Contribute to enablement resources, playbooks, and documentation that reflect current best practices in AI-powered identity verification.

• Cross-Functional Collaboration

  • Act as a feedback loop between clients and Socure's Product and Engineering teams — translating real-world deployment learnings into actionable product insights.

  • Work closely with Sales, Customer Success, and Data Science to ensure clients are consistently realizing measurable ROI from Socure's AI capabilities.

Requirements

• 5+ years of identity or fraud related experience in technical implementation, solution consulting or support engineering — preferably in SaaS, AI/ML platforms, or data-driven technology.

• Familiarity with AI/ML concepts, automated decisioning systems, or data analytics — you don't need to build models, but you should be excited to work closely with their outputs.

• Strong working knowledge of APIs, data integration patterns, and web-based platforms; comfortable translating technical concepts for both technical and non-technical audiences.

• A data-curious mindset — you look at performance metrics and ask "what can we improve?" rather than "what does this mean?"

• Ability to manage multiple client workstreams with structure, clarity, and a bias toward proactive communication.

• Bachelor's degree or equivalent experience in a technical, analytical, or related field.

Nice-to-Have Qualifications

• Hands-on experience with identity verification, fraud prevention, risk modeling, or compliance platforms.

• Exposure to ML model outputs, feature engineering concepts, or data pipeline tooling (e.g., SQL, BI tools, data warehouses).

• Experience working in enterprise client environments with complex technical stacks.

• Background in a startup or high-growth SaaS company where ambiguity is the norm and speed is a feature.