About the RoleWe'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. In this role, you'll sit at the intersection of cutting-edge product, machine learning and AI tools and real-world client implementation - helping organizations unlock the full potential of Socure's predictive models, automated decisioning workflows, and data-driven intelligence.
This role is ideal for someone who is self motivated, energized by AI and automation, comfortable working with data-driven decisionmaking, and eager to translate technical sophistication into tangible client value in a fast-paced, high-growth environment.
What You'll DoImplementation & Solution Delivery- 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.
- Translate client business goals into optimized platform configurations that leverage Socure's models to their fullest extent.
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 Enablement- Help clients 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.
- Partner with Support and Customer Success to ensure a seamless, data-informed client experience.
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.
What You'll Bring- 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.
