Top Tech Jobs & Startup Jobs

Drive strategic enterprise sales growth for AI-powered identity and fraud solutions across payments and lending. Own a greenfield territory, expand existing accounts, manage full-cycle sales, build executive relationships, conduct consultative selling, forecast pipeline, collaborate cross-functionally, influence product direction, and represent the company at industry events.

Own centralized Product Operations systems, tools, reporting, analytics, and processes. Administer product roadmapping and engineering work-tracking platforms, maintain integrations, build dashboards, define metrics, improve data quality, and standardize planning and prioritization workflows. Facilitate planning cadences, cross-functional handoffs, and strategy-to-execution alignment while enabling product managers and embedded Product Operations partners through documentation, training, and process improvements.

Own AML compliance frameworks, taxonomies, and regulatory intelligence supporting Socure’s platform. Partner with Engineering, Data Science, Product, Sales, and Customer Success to translate OFAC, FATF, FinCEN, and global requirements into product strategy, customer guidance, and scalable advisory services. Support enterprise compliance due diligence, audits, regulatory inquiries, and customer program design while developing automation to reduce operational burden.

Analyze large customer datasets, evaluate machine-learning models, develop risk and fraud insights, and communicate data-driven recommendations to technical and nontechnical audiences. The role partners with sales and account teams throughout pre- and post-sales, creates automated analytical workflows, supports product optimization and upsell opportunities, and may build exploratory ML models. It also contributes thought leadership on identity verification, fraud prevention, model performance, and customer risk management.

Owns a greenfield financial services territory while expanding existing accounts and selling AI-powered identity and fraud solutions. Responsibilities include full-cycle enterprise SaaS sales, strategic prospecting, executive relationship building, consultative selling, pipeline forecasting, cross-functional collaboration, and industry engagement. The role targets complex, high-value deals and requires influencing C-level stakeholders and aligning technical solutions with customer needs.

Design, develop, deploy, and monitor advanced deep learning models for fraud detection, risk management, and identity verification. Lead machine learning initiatives, research novel algorithms, manage end-to-end model lifecycles, collaborate with Product, Engineering, and Risk teams, and communicate insights to technical and executive stakeholders. Mentor data scientists and drive high-impact delivery, data quality, experimentation, and continuous improvement.

Leads the Channel Solution Consulting function, managing consultants who support strategic alliances throughout sales and implementation. Develops team strategy, playbooks, standards, and performance measurement; partners with Product, Engineering, Sales, and executives on customer technical needs. Supports major accounts, coordinates cross-functional resources, drives solution adoption, identifies risks, translates data into insights, and represents customer-driven product enhancements.

Own the strategy and roadmap for Socure’s Watchlist Screening and Monitoring product. Drive improvements in sanctions and AML screening accuracy, data coverage, scalability, reliability, and machine learning capabilities. Partner with Engineering, Data Science, Compliance Operations, Sales, Customer Success, and go-to-market teams. Analyze product metrics using SQL, translate regulatory and customer needs into priorities, support enterprise customers, and represent the product externally.

Owns day-to-day GRC operations for public-sector programs, including FedRAMP and GovRAMP continuous monitoring, POA&M management, audit evidence, vulnerability remediation, access reviews, and compliance reporting. Coordinates with Security, Engineering, IT, DevOps, Product, and Legal teams. The role also develops automation-first and AI-enabled workflows, supports OSCAL documentation, monitors regulatory changes, and contributes cybersecurity narratives and RFP responses for public-sector customers.

Drive organization-wide adoption of AI development standards, tools, and workflows across engineering. Build feedback loops, enablement content, prompt libraries, playbooks, training assets, and adoption dashboards. Partner with engineering leaders to improve AI practices, support onboarding and office hours, measure productivity and quality impact, and communicate progress through technical narratives and success stories.