Socure

Data Scientist

• Develop Analysis Frameworks: Design and maintain scalable frameworks that allow the DSCA team to perform fast, effective client resolutions during POCs, onboarding, and for existing production customers.
• Bridge R&D and Operations: Act as the primary technical liaison between Watchlist DS and DSCA, translating complex model behaviors into actionable insights for customer-facing teams.
• Build Monitoring & Alerting Systems: Create and manage mission-critical dashboards and real-time alert systems to monitor model performance, identify drift, and surface false positives/negatives at a sub-segment level.
• Drive Closed-Loop Model Improvement: Systematically monitor customer production data and POC findings to integrate real-world feedback back into the core model development cycle.
• Enhance In-House Pipelines: Build and optimize end-to-end data pipelines (using Spark and Airflow) that support custom reporting and automated performance tracking for Watchlist POCs.
• Collaborate Cross-Functionally: Work closely with Product, Engineering, and Compliance to translate customer needs and regulatory requirements into measurable machine-learning objectives.

Data Scientist II – Global Watchlist

Marketing

• Define and execute a vertical marketing strategy for the Workforce GTM Pod.
• Develop clear ICPs, value propositions, use cases, and competitive positioning aligned to the pod’s sales motion.
• Partner with Product, Data Science, and Revenue Marketing to embed differentiated data and insights into vertical narratives.
• Translate complex AI-driven capabilities into compelling, industry-specific messaging that resonates with economic buyers and technical stakeholders.
• Deliver field-ready enablement (decks, playbooks, battlecards, ROI tools, customer stories) that improves win rates and accelerates deal velocity.
• Partner closely with GTM leaders to build and execute campaigns that generate qualified pipeline from target accounts.
• Drive increased awareness within your vertical to position Socure as the standard identity and fraud infrastructure.
• Coordinate integrated campaign strategies across touchpoints including email, webinars, paid and organic channels, SDR outreach, in-person experiences, and more.
• Partner with RevOps to define success metrics, analyze performance, and iterate based on results — scaling what works and refining what doesn’t.
• Act as the vertical marketing owner for your pod during planning cycles and QBRs.
• Influence stakeholders across Product, Sales, Data Science, RevOps, and Marketing to ensure strong commercialization of new capabilities.
• Establish and track KPIs tied to pipeline, revenue contribution, win rates, and strategic account growth.
• Bring market insights, competitive intelligence, and industry trends into GTM strategy discussions.

Vertical Marketing Lead, Workforce

Financial Planning and Analysis

• Define and execute a vertical marketing strategy for the Finserv GTM Pod.
• Develop clear ICPs, value propositions, use cases, and competitive positioning aligned to the pod’s sales motion.
• Partner with Product, Data Science, and Revenue Marketing to embed differentiated data and insights into vertical narratives.
• Translate complex AI-driven capabilities into compelling, industry-specific messaging that resonates with economic buyers and technical stakeholders.
• Deliver field-ready enablement (decks, playbooks, battlecards, ROI tools, customer stories) that improves win rates and accelerates deal velocity.
• Partner closely with GTM leaders to build and execute campaigns that generate qualified pipeline from target accounts.
• Drive increased awareness within your vertical to position Socure as the standard identity and fraud infrastructure.
• Coordinate integrated campaign strategies across touchpoints including email, webinars, paid and organic channels, SDR outreach, in-person experiences, and more.
• Partner with RevOps to define success metrics, analyze performance, and iterate based on results — scaling what works and refining what doesn’t.
• Act as the vertical marketing owner for your pod during planning cycles and QBRs.
• Influence stakeholders across Product, Sales, Data Science, RevOps, and Marketing to ensure strong commercialization of new capabilities.
• Establish and track KPIs tied to pipeline, revenue contribution, win rates, and strategic account growth.
• Bring market insights, competitive intelligence, and industry trends into GTM strategy discussions.

Vertical Marketing Lead, Financial Services

Crypto

• Define and execute a vertical marketing strategy for the Crypto + Stablecoin GTM Pod.
• Develop clear ICPs, value propositions, use cases, and competitive positioning aligned to the pod’s sales motion.
• Partner with Product, Data Science, and Revenue Marketing to embed differentiated data and insights into vertical narratives.
• Translate complex AI-driven capabilities into compelling, industry-specific messaging that resonates with economic buyers and technical stakeholders.
• Deliver field-ready enablement (decks, playbooks, battlecards, ROI tools, customer stories) that improves win rates and accelerates deal velocity.
• Partner closely with GTM leaders to build and execute campaigns that generate qualified pipeline from target accounts.
• Drive increased awareness within your vertical to position Socure as the standard identity and fraud infrastructure.
• Coordinate integrated campaign strategies across touchpoints including email, webinars, paid and organic channels, SDR outreach, in-person experiences, and more.
• Partner with RevOps to define success metrics, analyze performance, and iterate based on results — scaling what works and refining what doesn’t.
• Act as the vertical marketing owner for your pod during planning cycles and QBRs.
• Influence stakeholders across Product, Sales, Data Science, RevOps, and Marketing to ensure strong commercialization of new capabilities.
• Establish and track KPIs tied to pipeline, revenue contribution, win rates, and strategic account growth.
• Bring market insights, competitive intelligence, and industry trends into GTM strategy discussions.

Vertical Marketing Lead, Crypto – Stablecoin

• Define and execute a vertical marketing strategy for the Tier 1 Banking GTM Pod.
• Develop clear ICPs, value propositions, use cases, and competitive positioning aligned to the pod’s sales motion.
• Partner with Product, Data Science, and Revenue Marketing to embed differentiated data and insights into vertical narratives.
• Translate complex AI-driven capabilities into compelling, industry-specific messaging that resonates with economic buyers and technical stakeholders.
• Deliver field-ready enablement (decks, playbooks, battlecards, ROI tools, customer stories) that improves win rates and accelerates deal velocity.
• Partner closely with GTM leaders to build and execute campaigns that generate qualified pipeline from target accounts.
• Drive increased awareness within your vertical to position Socure as the standard identity and fraud infrastructure.
• Coordinate integrated campaign strategies across touchpoints including email, webinars, paid and organic channels, SDR outreach, in-person experiences, and more.
• Partner with RevOps to define success metrics, analyze performance, and iterate based on results — scaling what works and refining what doesn’t.
• Act as the vertical marketing owner for your pod during planning cycles and QBRs.
• Influence stakeholders across Product, Sales, Data Science, RevOps, and Marketing to ensure strong commercialization of new capabilities.
• Establish and track KPIs tied to pipeline, revenue contribution, win rates, and strategic account growth.
• Bring market insights, competitive intelligence, and industry trends into GTM strategy discussions.

Vertical Marketing Lead, Tier 1 Banks

• Designing and evaluating deep learning models for document understanding and synthetic artifact detection
• Applying CNNs, Transformers, and multimodal architectures to real-world datasets
• Experimenting with novel architectures, loss functions, and training strategies
• Performing error analysis and model interpretability investigations
• Contributing to research discussions, technical documentation, and model deployment pipelines

Data Science Intern – Computer Vision, Machine Learning

Sales

• Assist with onboarding efforts for new clients, helping to configure and deliver Socure’s platform according to customer needs.
• Support technical integrations by working with client teams and providing input on best practices.
• Help troubleshoot technical issues during early stages of deployment in coordination with Support and Customer Success teams.
• Work alongside internal teams to make sure client questions are addressed quickly and thoroughly.
• Participate in ongoing optimization efforts to improve the client experience.
• Gather and document technical and functional requirements from clients.
• Help translate client workflows into effective product configurations.
• Assist in resolving integration or product issues, escalating as needed.
• Deliver introductory training sessions and walkthroughs to help clients get started confidently.
• Contribute to the creation of documentation and internal resources to support common onboarding patterns.
• Share client feedback and observations with Product, Engineering, and other teams to help inform product improvements.
• Collaborate with Sales, Support, and Customer Success to ensure a coordinated customer experience.

Senior Solution Consultant – Post-Sales, Platform

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Data Science Intern – Computer Vision, Machine Learning Research

Product Marketing

• Develop product positioning, messaging, and value propositions that differentiate Socure’s Payments product in the market.
• Lead the planning and execution of go-to-market strategies for new product launches and feature releases.
• Conduct market, competitor, and customer research to inform product marketing strategies and content.
• Collaborate with product, sales, and marketing teams to ensure consistent messaging and alignment across channels.
• Create sales enablement materials, such as presentations, datasheets, and FAQs, tailored to workforce solutions.
• Track and analyze product and campaign performance metrics, providing insights and recommendations for optimization.
• Develop customer-facing content, including case studies, blog posts, and product collateral, highlighting payments product impact.
• Gather feedback from customers and internal stakeholders to inform product improvements and marketing initiatives.
• Champion Socure’s leadership competencies by fostering collaboration, adaptability, and a customer-centric mindset in all initiatives.

Senior Product Marketing Manager – Payments

• Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements.
• Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases.
• Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform.
• Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting.
• Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production.
• Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems.
• Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops.
• Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts.
• Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions.
• Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS.
• Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation.
• Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments.
• Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure.
• Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners.

Staff Data Scientist – RiskOS

Product Manager

• Own the roadmap and execution for DocV’s forensic engine, including detection of document fraud, injection attacks, and AI-generated content.
• Support efforts to scale DocV adoption globally, including in the public sector, financial services, and emerging markets.
• Partner with Data Science to define, evaluate, and improve model performance across key fraud vectors.
• Identify gaps in detection coverage and drive new signal development across image, video, and device layers.
• Design and evolve decisioning frameworks that translate model outputs into actionable outcomes.
• Build scalable, configurable logic that supports diverse customer risk profiles and use cases.
• Balance fraud detection performance with user experience and conversion impact.
• Work closely with high-value customers to understand fraud patterns, edge cases, and operational needs.
• Translate customer feedback into product improvements and prioritization decisions.
• Support complex customer implementations and act as a subject matter expert in DocV decisioning.
• Collaborate with Engineering and Data Science to translate product requirements into technical execution.
• Partner with the Fraud Investigation team, Customer Success, and Sales to align on product behavior and outcomes.
• Drive alignment on tradeoffs between detection accuracy, false positives, and business impact.
• Use SQL and analytics tools to evaluate model performance, decisioning outcomes, and conversion impact.
• Define and track key metrics related to fraud detection, model precision/recall, and user experience.
• Conduct deep dives into fraud patterns and emerging attack vectors.
• Support product launches and enhancements with clear positioning and documentation.
• Enable internal teams and customers to understand and effectively use decisioning capabilities.

Senior Product Manager – Document Verification

Consultant

• Collaborate with Sales Leadership in business development activities, including the presentation of products and solutions to prospective clients, the preparation of statements of work (SOWs) and pricing
• Collaborate with Data Science on Proof-of-Concept (POCs) design and execution
• Utilize industry and domain expertise to tailor strategies and recommendations for prospective clients
• Work closely with Product Development to funnel concepts for product innovation and new generations to product managers
• Drive thought leadership with Product Marketing for blogs, whitepapers, research briefs, webinars, and more
• Serve as a means of translation between technical and non-technical audiences, both internally and externally
• Lead meetings with project stakeholders to align resources and determine relative priority of projects to maximize business results
• Serve as the day-to-day technical expert on external and internal projects and engagements related to sales engagements supporting both direct field sales and channel sales teams
• Provide project leadership and mentor other team members

Senior Solution Consultant, Public Sector – Federal

Backend Engineer

• Provide technical leadership by designing and implementing complex core components and distributed systems
• Conduct code and architecture reviews to ensure alignment with Socure’s standards and industry best practices
• Drive the planning, execution, and delivery of large, complex initiatives, coordinating work across a small team of engineers and effectively managing scope, timelines, and resources
• Provide technical guidance, supporting system design efforts, and fostering a culture of engineering excellence and continuous improvement
• Proactively propose new projects, identify opportunities to enhance platform performance, reliability, and developer productivity
• Help evolve Socure’s engineering practices and standards

Staff Backend Engineer

Technical Project Manager

• Own requirements gathering, project planning, implementation, and deployment support for our global clients and partners
• Forecast and communicate project timelines, ensuring stakeholders are informed of potential delays, milestones, and dependencies.
• Proactively partner with commercial and technical stakeholders, regularly educating them on Socure's solutions and deployment process while serving as a key partner to their success
• Closely collaborate with developers and deployment managers to integrate Socure's suite of technology with client applications
• Investigate and diagnose challenges alongside Socure's technical teams to ensure solution quality and sustainability
• Facilitate client status meetings to manage scope and schedule of multiple, often concurrent deployments
• Learn! Master Socure's product suite to better understand how clients can use our technology and in turn supplement our product roadmap
• Value inclusivity and contribute to a culture that empowers you to show up as your authentic self

• Extend and lead the packaging and integration strategy for Socure’s Identity Graph
• Translate advanced graph capabilities into clear, sellable products
• Establish scalable pricing models aligned with customer value
• Lead commercialization of graph-driven capabilities
• Partner with cross-functional teams to evolve pricing, documentation, and packaging
• Define how graph-powered capabilities are exposed via APIs and workflows
• Develop strategies to compete with market-leading identity products
• Conduct ongoing competitive analysis
• Own the go-to-market strategy for graph-powered commercial offerings
• Partner with teams to drive adoption, expansion, and revenue growth
• Define success metrics and track commercial performance post-launch
• Collaborate with various teams to ensure product scalability and compliance