Platform Solution Consultant, Public Sector

Socure; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Socure, a leader in identity trust infrastructure, is seeking a Public Sector Platform Solution Consultant to drive onboarding and measurable outcomes for government clients using RiskOS and AI-powered verification. You will bridge product, ML, and client implementation, turning data-driven insights into tangible value in a fast-growing environment.

The role emphasizes automation, scalable deployments, and strong client collaboration across teams.

Qualifications

• 3+ years of public sector identity or fraud experience in technical implementation, solution consulting or support engineering.
• Familiarity with AI/ML concepts, automated decisioning systems, or data analytics.
• Strong working knowledge of APIs, data integration patterns, and web-based platforms; ability to translate technical concepts for diverse audiences.
• Bachelor's degree or equivalent experience in a technical, analytical, or related field.

Responsibilities

• Lead end-to-end platform implementation with timely deployments.
• Define solution architecture with clients and tailor implementations to business needs.
• Refine best practices for scalable, high-impact implementations.
• Lead onboarding that centers AI and automation—configuring decisioning engines and ML outputs.
• Guide clients through integrating AI signals into existing tech stacks for immediate value.
• Translate client goals into optimized platform configurations leveraging company models.
• Design and implement automated decisioning flows to reduce manual review and scale operations.
• Configure rules engines, thresholds, and AI-enabled workflows.
• Identify opportunities and automate repeatable processes for faster deployments.
• Diagnose and resolve deployment issues focusing on data pipelines, API performance, and AI model handling.
• Deliver training and enablement sessions to educate client teams on AI workflows.
• Contribute to enablement resources and documentation reflecting best practices.
• Serve as a feedback loop between clients and Product/Engineering; collaborate with Sales, CS, and Data Science.

Skills

Public sector identity

AI/ML concepts

APIs & data integration

Data-driven mindset

Multi-workstreams

Communication skills

Education

Bachelor's degree or equivalent

Tools

SQL

BI tools

Data warehouses

Job description

Why the company?the company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

Why the company?

the company is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.

We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.

About The Role

We're looking for a Public Sector Platform Solution Consultant to drive the successful onboarding and measurable outcomes for clients leveraging the company'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 the company'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 Do

Implementation & 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 the company'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 the company's predictive capabilities.
• Translate client business goals into optimized platform configurations that leverage the company's models to their fullest extent.

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 the company'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 the company'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 the company's AI capabilities.
• Work closely with Product SC team to implement improvements and performance updates within the workflows.

What You'll Bring

• 3+ years of public sector 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.

the company is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your the company recruiting partner directly.

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