Socure

Data Scientist

• Own and drive the data science vision for Identity & Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.
• Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.
• Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling.
• Drive the development of graph-based intelligence, including large-scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud detection, and watchlist matching.
• Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.
• Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.
• Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets.
• Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value.
• Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.
• Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance.
• Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in identity, compliance, and applied AI.

Head of Data Science – Identity & Compliance

• Own and define the data science vision for Document Verification, Biometrics, and Reusable ID, delivering step-function improvements in accuracy, speed, and user experience.
• Lead and scale a high-performing team of data scientists and applied researchers, setting a high standard for execution, innovation, and accountability.
• Architect and deploy state-of-the-art computer vision and multimodal systems, including vision-language models (VLMs), for document understanding, face matching, liveness detection, and identity verification.
• Drive the development of domain-specific foundation models tailored to identity, documents, and biometrics, leveraging large-scale proprietary datasets.
• Lead the transition to agentic systems, building intelligent agents that can reason over document and biometric signals, automate verification workflows, and adapt dynamically to new fraud patterns.
• Advance fraud and attack detection capabilities, including deepfake detection, presentation attack detection, and counterfeit document detection.
• Design and implement secure and robust systems resilient to emerging threats such as prompt injection and adversarial attacks on multimodal and agent-based systems.
• Leverage vector databases and embedding systems to power similarity search, identity linking, and reusable identity experiences.
• Partner closely with Product, Engineering, and Risk teams to deliver scalable, production-grade solutions that meet both business and regulatory requirements.
• Drive rapid experimentation and deployment, balancing innovation with reliability, explainability, and compliance.
• Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.
• Represent Socure externally as a thought leader in biometrics, document AI, and fraud prevention.

Head of Data Science – Document Verification, Biometrics

Product Marketing

• Develop and own a company-wide messaging framework grounded in Force Management’s Command of the Message methodology.
• Transform product positioning from feature catalogs to solution narratives.
• Set the narrative standard for every product, solution, and GTM motion at Socure.
• Define and execute go-to-market strategy for Socure’s expanding product portfolio.
• Build the sales enablement infrastructure that gives Socure’s sellers the confidence and language to win at every stage of the buyer journey.
• Lead, coach, and develop a team of 11 product marketers.
• Direct ongoing competitive analysis, win/loss research, and customer insight programs.
• Serve as the product marketing voice in executive forums, QBRs, board updates, and cross-functional planning.

Executive Head of Product Marketing

Chief of Staff

• Act as the CCO’s primary strategic advisor and operational thought partner.
• Shape and refine commercial strategy, operating rhythms, and long-term growth initiatives.
• Ensure alignment between revenue objectives and enterprise strategic priorities.
• Develop and oversee mechanisms to track commercial performance, pipeline health, forecasting rigor, and execution effectiveness.
• Identify root causes of revenue gaps or execution breakdowns and drive corrective action.
• Partner with RevOps and Finance to improve forecasting accuracy and operating visibility.
• Serve as connective tissue between Commercial, Product, Finance, Strategy, and Operations.
• Drive alignment on GTM motions, customer segmentation, pricing strategy, and partnership strategy.
• Proactively surface complex commercial risks and opportunities.
• Drive clarity in roles, accountability, and decision-making across the revenue organization.
• Own strategic leadership meeting architecture (Revenue LT, QBRs, planning sessions).

Chief of Staff, Commercial

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, Finserv

• Support Sales Reps and Commercial Leadership in opportunity management, pipeline hygiene, and inspection cadences.
• Partner on FY26 account planning and capacity planning, including Pod and Primary Industry alignment.
• Support Sales Enablement refreshes across core opportunity management processes and quoting & contracting enablement.
• Contribute to Quote-to-Cash and Billing improvement initiatives by identifying process gaps and partnering with RevOps and FinOps teams.
• Support Sales Compensation (SIP) operations, including compensation plan administration, quarterly commission calculations, and supporting annual planning, partnering with Accounting, Finance, Legal, People, and Revenue Leadership teams.
• Support Clari platform adoption and execution, including: Joint Execution Plan (JEP) development and utilization, Quarterly, Monthly, and Weekly dashboarding and meeting cadences built within Clari, Adoption and optimization of Clari capabilities such as MEDDPICC scoring, Opportunity Score, and emerging Agentic AI features.
• Build scalable content, documentation, and repeatable processes to increase sales funnel effectiveness.
• Assist with automation and efficiency initiatives by identifying manual processes and bottlenecks across the GTM funnel and helping implement scalable solutions using existing and new tools.
• Serve as a cross-functional partner by translating business needs into operational and technical requirements and supporting rollout of new GTM capabilities.

GTM Operations Analyst

• Own high-impact hiring, end-to-end
• Run full-cycle recruiting across multiple complex searches simultaneously—from intake through close and onboarding.
• Build and execute smart, multi-channel sourcing strategies tailored to Product and Data Science talent
• Partner as a talent advisor to Socure leaders, providing clear insights, updates, and recommendations to shape expectations and decision making
• Elevate the hiring experience for candidates and stakeholders, providing best-in-industry communication
• Maintain and operate our TA systems with rigor, maintaining clean and accurate data across searches and stages.
• Contribute beyond your reqs
• Improve recruiting processes and workflows
• Mentor teammates and share best practices
• Help build a high-performance, high-accountability TA culture
• Model and reinforce Socure’s Values: Velocity, Ownership, Influence, Output and Trust

Senior Recruiter – Product & Data Science

DevOps Engineer

• End-to-end ownership of highly available, scalable AWS infrastructure
• Design, operation, and continuous improvement of Kubernetes (EKS) platforms
• Reliability of production systems through strong observability, automation, and SLOs
• CI/CD systems that enable safe, fast, and repeatable deployments
• Incident response, root cause analysis, and long-term remediation

Senior Software Engineer – SRE

Frontend Engineer

• Translate high-fidelity design concepts into pixel-precise, performant web experiences
• Partner closely with brand and creative leadership to ensure design intent survives the build process — including motion, interaction, type rendering, and spacing
• Build and maintain reusable front-end components that scale across a fast-moving marketing site
• Own the front-end relationship with our external creative partners, ensuring handoffs are clean and implementation is airtight
• Contribute to and help enforce a design system with real rigor — not just a Figma library, but a living, documented framework
• Audit and optimize for performance, accessibility, and cross-browser fidelity without sacrificing visual quality
• Work fluidly across headless CMS environments, static builds, and custom code as the project demands

Front-End Web Developer

Software Engineer

• Define and execute a developer marketing strategy
• Develop clear developer ICPs, technical value propositions, and competitive positioning
• Partner with Product and Engineering to enhance developer-facing narratives
• Translate complex AI-driven capabilities into compelling content
• Deliver developer enablement materials
• Partner with GTM and Growth leaders to build and execute campaigns
• Own developer content programs
• Act as the developer marketing owner during planning cycles and product launches
• Track KPIs tied to developer engagement

Developer Marketing Lead

• Develop a comprehensive technical understanding of Socure’s products, platform, and integrations.
• Analyze and document technical nuances, workflows, and architectures to articulate the "how" behind product functionality.
• Translate complex technical details into compelling, easy-to-understand narratives that resonate with both technical and business audiences.
• Craft messaging that highlights the unique power of Socure’s technology and the measurable impact on customers’ business outcomes.
• Conduct in-depth technical analysis of competitors’ products to identify strengths, weaknesses, and differentiation points.
• Develop competitive positioning strategies that showcase Socure’s superiority in the identity verification and fraud prevention market.
• Work closely with product managers to understand roadmaps, new features, and technical use cases to inform go-to-market strategies.
• Provide technical feedback and ensure market needs are being addressed during product development.
• Create in-depth technical enablement materials for sales, customer success, and partners, including solution guides, architecture diagrams, and FAQs.
• Lead technical workshops and trainings to ensure internal teams can articulate the product’s technical value effectively.
• Write and publish technical whitepapers, blogs, and case studies that demonstrate Socure’s innovation and leadership.
• Represent Socure in technical discussions with customers, partners, and at industry events.
• Scale quality and production of assets by leveraging AI tools like ChatGPT's Deep Research to enhance technical marketing materials.

Technical Product Marketing Manager

Marketing

• Define and execute a vertical marketing strategy for the Fintech 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, Fintech

Community Manager

• Build the network: Identify and recruit the right members. Maintain a high bar for who joins and why.
• Design high-impact experiences: Run in-person and virtual sessions that drive meaningful participation and repeat engagement.
• Turn conversation into insight: Capture what matters and synthesize it into clear themes and takeaways.
• Run the system: Own the community platform, communications, and day-to-day operations.
• Drive internal leverage: Share those insights across marketing, sales, product, and strategy to inform decisions and action.

• Design, build, and maintain scalable data pipelines and workflows to support analytics, fraud detection, model development, and ongoing data monitoring (e.g., using Spark, Airflow, or similar distributed systems).
• Leverage and build agentic AI and LLM-powered systems to automate data exploration, anomaly detection, vendor evaluation, and investigative workflows, increasing the speed and depth of insight generation.
• Build and optimize models using a variety of input data types, including tabular data, natural language, point clouds, and images, in support of fraud detection and identity verification use cases.
• Own data quality and integrity for critical datasets, implementing monitoring, validation checks, and anomaly detection to ensure reliable input to models and downstream decision systems.
• Take ownership of project outcomes from scoping through delivery, managing data quality, technical trade-offs, and timelines; proactively escalate risks and work cross-functionally to resolve challenges.
• Evaluate and integrate third-party data vendors and external datasets, including designing experiments to assess data quality, coverage, lift, and long-term value for Socure’s models and products.
• Collaborate closely with Product, Engineering, and Risk teams to define data requirements, shape roadmap priorities, and deliver insights that guide strategic decisions for fraud and identity products.
• Conduct in-depth research to explore new data sources and develop novel algorithms and features that advance the state of the art in fraud detection, identity resolution, and risk scoring.
• Lead the end-to-end ML/analytics lifecycle for assigned projects: problem definition, data exploration, feature engineering, modeling, evaluation, deployment handoff, and post-deployment monitoring where applicable.
• Present findings, trade-offs, and recommendations to technical and executive stakeholders with clarity and influence, adapting communication for audiences ranging from engineers to non-technical business leaders.
• Mentor and share knowledge with peers and junior data scientists, fostering a culture of experimentation, rapid iteration, and continuous learning aligned to Socure’s leadership competencies.
• Stay current with advancements in AI, machine learning, and data infrastructure (including LLMs and agentic frameworks), and apply innovative techniques to real-world fraud and identity problems.
• Model Socure’s embedded leadership competencies in day-to-day work: continuous learning, effective communication, accountability, team development, decision making, and managing change.