Socure

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

Account Executive

• 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.

Account Executive Director, Workforce

• 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.

Go-to-Market GTM Operations Analyst

Platform Engineer

• Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance.
• Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems.
• Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain.
• Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers.
• Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring.
• Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor.
• Implement and enforce best practices around model versioning, auditability, lineage tracking, data governance, and security controls.
• Lead, mentor, and grow both senior and junior ICs across ML infrastructure, MLOps, and distributed systems.

Senior Manager, AI Platform Engineering

Solutions Engineer

• Build and lead a Solution Engineering team embedded within Product Engineering.
• Partner closely with Customer Success and Commercial teams to unblock implementations and accelerate customer outcomes.
• Deliver short-term technical initiatives that enable field teams and support active customer engagements.
• Collaborate directly with customers on complex DocV integrations and deployment challenges.
• Develop targeted features, prototypes, and integrations that accelerate adoption of new DocV capabilities.
• Identify and address integration-related technical debt to improve reliability, stability, and operational robustness.
• Establish a strong feedback loop between customers, Customer Success, Product, and Engineering teams.
• Collaborate with Backend and Frontend teams to transition validated solutions into the core product roadmap where appropriate.
• Anticipate recurring customer and field needs and drive scalable, repeatable solutions.

Senior Manager, Solution Engineering

• Develop and execute joint marketing plans with key partners to drive brand awareness, lead generation, and revenue growth.
• Collaborate with partners and internal teams (Sales, Product, Content, Digital, Events) to design and launch co-branded campaigns, events, and content initiatives.
• Manage the creation of partner marketing assets, including solution briefs, case studies, webinars, and digital content.
• Oversee partner enablement programs, including training materials, toolkits, and communications to empower partners in their go-to-market efforts.
• Track, analyze, and report on the performance of partner marketing initiatives, using data-driven insights to optimize strategies and demonstrate ROI.
• Build and maintain strong relationships with partner marketing contacts, serving as the primary point of contact for joint marketing activities.
• Coordinate partner marketing budgets, manage MDF (Market Development Funds), and ensure effective resource allocation.
• Support the planning and execution of partner events, sponsorships, and joint participation in industry conferences.
• Advocate for partner and end-customer success, ensuring that joint solutions deliver tangible business value.
• Stay current on industry trends, partner ecosystem developments, and best practices in partner marketing.

Partner Marketing Lead

iOS Engineer

• Implement, iterate on, and maintain new and existing features for our iOS SDK used by customers.
• Collaborate with distributed cross-functional teams—including Product, Engineering, Infrastructure, Machine Learning, and Data Science—to conceptualize and develop new features and products in an agile environment.
• Own end-to-end delivery of software components, taking team features and system components all the way to production.
• Monitor and improve existing deployments to ensure continuous product enhancement.
• Own, maintain, and continuously improve our release pipeline and processes.
• Participate and often lead in the design and implementation discussions for our native SDKs and corresponding backend services.
• Take part in the on-call rotation, triaging and resolving production issues and addressing bugs.
• Write and maintain high-quality codebases with rigorous standards for unit, integration, and validation testing.

Senior iOS Engineer

Financial Planning and Analysis

• Financial Modeling: build, improve, and maintain complex financial models used to forecast and report key top-line metrics including revenue, ARR, backlog, net dollar retention, LTV, CAC, and more.
• Key Metric Reporting: monitor and communicate key performance indicators to business leaders and our board of directors.
• Strategic Partnership: act as a strategic advisor to the go-to-market organization by providing data-driven analysis and action plans.
• Project Management: enhance processes across FP&A, accounting, revenue operations, and business operations.
• Business Analytics: Partner with business operations to automate analyses and forecasts in our BI tools.
• Special Projects & Strategic Initiatives: Support ad hoc high-impact strategic initiatives including M&A evaluation.

Senior Financial Analyst

Backend Engineer

• Build and maintain robust, scalable, and secure backend services and APIs for identity document processing and verification
• Collaborate with Product, Data Science/Machine Learning, and Infrastructure teams to design and implement new document verification features in an agile environment
• Drive improvements in code quality, testing coverage, performance optimization, security, and CI/CD practices for the DocV backend systems
• Own backend architecture decisions and advocate for best practices in API design, microservice architecture, and secure data handling
• Analyze production metrics and real-world usage data to continuously refine system performance, reliability, and scalability
• Contribute to the integration of machine learning and computer vision components into the DocV backend pipeline
• Work closely with frontend and mobile engineers to define clear API contracts and ensure a seamless end-to-end user experience