Socure

Account Executive

• Lead growth across both greenfield opportunities and existing accounts, developing expansion strategies that deepen product adoption and maximize account value.
• Manage full-cycle sales—from prospecting to close—targeting high-value SaaS deals with innovative, fast-growing companies.
• Build and maintain a robust pipeline through outbound efforts and executive-level engagement.
• Align complex technical solutions with customer needs in fraud, analytics, and digital identity.
• Work closely with product, engineering, and marketing teams to align on customer needs and influence the product roadmap.
• Deliver accurate pipeline forecasts and support strategic planning.
• Represent Socure at industry events and deepen client relationships through in-person meetings as needed.

Account Executive Director – Tier 1 Banks

Sales

• Serve as the primary pre-sales technical advisor throughout the sales cycle
• Partner with Sales to present RiskOS, align platform features with customer goals, and demonstrate value
• Design and lead Proof-of-Concepts to showcase real-time orchestration capabilities
• Customize fraud and identity workflows using client-specific data and context
• Collaborate with Product and Engineering to relay customer needs and shape the RiskOS roadmap
• Support go-to-market initiatives (e.g., whitepapers, webinars, solution briefs)
• Mentor team members and lead key solution design initiatives

Senior Solution Consultant, Pre-Sales – Platform

Product Marketing

• Develop and execute a comprehensive sales strategy to maximize Socure’s growth with gaming & prediction markets, including both established platforms and high-growth disruptors.
• Build, lead, and mentor a dynamic team of GTM professionals focused on net-new logo acquisition and expanding current client relationships in the technology and AI space.
• Oversee the entire sales lifecycle: pipeline generation, forecasting, negotiation, closing, and post-sales handoff.
• Establish clear goals and metrics, drive team performance, and ensure target attainment for revenue, bookings, and market share.
• Foster deep relationships with founders, C-suite executives, and key stakeholders in the technology and AI ecosystem to understand business needs and deliver compelling solutions.
• Collaborate closely with Product, Marketing, and Account Management to align on GTM strategies and campaigns specific to technology, AI, and startup clients.
• Provide feedback on product-market fit for these verticals, influence roadmap prioritization, and help tailor solutions for evolving industry needs (e.g., onboarding, trust & safety, fraud prevention, compliance).
• Represent Socure at industry events, conferences, and within technology and AI communities to build brand equity and drive inbound interest.
• Maintain expert-level knowledge of Socure’s product suite, industry trends, and the competitive landscape in technology, AI, and startup markets.

Head of GTM – Gaming, Prediction

Marketing

• Develop and execute a comprehensive event strategy, aligning with Socure’s brand, business goals, and marketing initiatives.
• Plan, coordinate, and execute corporate events, industry conferences, trade shows, webinars, and partner events.
• Manage event logistics, budgets, timelines, and vendor relationships to ensure successful execution.
• Collaborate with Marketing, Sales, and Product teams to develop event content, messaging, and engagement strategies.
• Oversee booth design, branding, promotional materials, and sponsorship activations to maximize brand impact.
• Manage pre-event and post-event activities, including promotion, lead generation, follow-ups, and performance analytics.
• Work closely with external agencies, venues, and production teams to execute high-quality events.
• Track and analyze event ROI and key performance metrics, providing recommendations for continuous improvement.
• Stay up-to-date on industry trends, competitor events, and emerging event technologies to enhance Socure’s event strategy.

Field Marketing Manager

Data Scientist

• Analyze massive customer data sets, come up with actionable insights, and explain how our models perform and how we can help our customers build optimal risk management policies
• Act as a Data Science advocate: deeply understand Socure’s solutions (products, models and algorithms) and customers’ risk challenges to educate and influence from a scientific perspective
• Create convincing data stories to showcase how we can help our customers eliminate identity fraud, streamline their end-user experience, and support their risk management efforts holistically
• Provide thought leadership and be the customer’s voice for building the next generation of Socure’s core models and product
• Create tools and automated workflows to improve the speed, accuracy, and reproducibility of our analysis
• Partner closely with GTM teams (Sales, Solution Consultants, Account Managers and Technical Account Managers) to derive creative ways of analysis and identify opportunities for upsell and product optimization
• Build ML models when it is advantageous to explore different approaches over the established models in production

Data Scientist II – Client Analysis

• Design, develop, and own advanced deep learning models, including CNNs and transformer-based vision or multimodal architectures, for document verification use cases such as document classification, fraud detection, image quality assessment, field extraction, and authenticity checks.
• Own ML solutions end to end, from data analysis and model training to deployment, monitoring, and continuous improvement in production.
• Act as a technical point of contact for customers, leading technical deep dives, explaining model behavior, performance metrics, and tradeoffs, and supporting customer evaluations or escalations.
• Translate customer, regulatory, and business requirements into clear modeling objectives, and communicate results effectively to both technical and non-technical stakeholders.
• Partner closely with engineering and product teams to deliver scalable, reliable document verification systems.

Senior Data Scientist – Computer Vision

Chief of Staff

• Own the planning, prioritization, and execution of the Commercial Team’s OKRs. Ensure all activities align with our strategic objectives to drive revenue and market share growth.
• Develop and manage comprehensive sales reporting frameworks to track performance against targets, providing actionable insights.
• Author and enforce value-based messaging for use by the field and customer success teams to capitalize on new opportunities. Manage competitive messaging, including strategies to counteract negative press from competitors.
• Oversee quality control procedures and address issues promptly. Coordinate with various integration partners at both business and technical levels, including planning joint rollouts and developing contingency strategies.
• Create technical and value-based content for sales presentations. Ensure timely dissemination of relevant messaging to the field, delineating what is acceptable to communicate under NDAs.
• Drive the resolution of strategic and tactical issues concerning partner integrations, maintaining and reviewing relationships with an eye toward optimizing or substituting vendors as necessary.
• Work closely with marketing and educational teams to enable commercial teams to effectively communicate and sell the value of new and enhanced products.

Chief of Staff, Commercial

Product Manager

• Own the Behavioral Analytics Roadmap: Drive the end-to-end product lifecycle for the Behavioral Analytics Products.
• Lead Technical Execution: Partner with Engineering to define, prioritize, and deliver lightweight Web/Mobile SDKs and high-throughput real-time streaming pipelines.
• Work closely with Data Scientists to define feature extraction and train models.
• Utilize prototyping and experimentation to de-risk solutions before building.
• Engage with internal product teams for seamless integration with broader Digital Intelligence suite.
• Partner with Product Marketing and Sales to drive adoption and usage, and create technical documentation.
• Provide product expertise for adjacent Digital Intelligence products and critical initiatives.

Senior Product Manager – Behavioral Analytics

• Develop, maintain, and improve machine learning models for document verification use cases such as document classification, image quality assessment, field extraction, and fraud detection.
• Independently implement and evaluate deep learning architectures, including CNNs and transformer-based vision or multimodal models.
• Own well-defined components of end-to-end ML pipelines, including data preparation, model training, evaluation, and deployment to production.
• Perform in-depth error analysis, model diagnostics, and performance optimization, and propose data- or model-driven improvements.
• Contribute to technical design discussions, code reviews, and modeling best practices across the team.
• Write production-quality, maintainable code and contribute to shared ML tooling and infrastructure.
• Collaborate with engineering and product partners to ensure models meet product, performance, and reliability requirements.

Data Scientist II – Computer Vision

• Lead growth across both greenfield opportunities and existing accounts, developing expansion strategies that deepen product adoption and maximize account value.
• Manage the full enterprise sales cycle, from prospecting to close, landing high-value SaaS deals with innovative, fast-growing companies in workforce management and adjacent markets.
• Build and maintain a robust pipeline through strategic prospecting, outbound efforts, and executive-level engagement.
• Act as a consultative advisor, aligning complex technical solutions with customer needs in fraud, analytics, and digital identity.
• Collaborate cross-functionally with product, engineering, and marketing teams to align on customer needs and influence the product roadmap.
• Deliver accurate pipeline forecasts and support strategic planning and execution.
• Represent Socure at industry events and deepen client relationships through in-person meetings as needed.
• Provide market feedback to inform product development and go-to-market strategies.
• Demonstrate leadership competencies, including strategic thinking, cross-functional collaboration, and a commitment to Socure’s values of innovation, ownership, and shared expertise.