Socure

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

Product Marketing

• 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.

Data Scientist

• 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.

Senior Data Scientist – Fraud Data Infrastructure, Automation

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, Payments & Lending

Account Executive Director – Gaming, Prediction

• Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection across heterogeneous, country‑specific datasets.
• Architect reusable matching and linking frameworks that work across multiple ID schemes (e.g., national ID numbers, passports, voter IDs, mobile accounts, bank accounts) and local name/address conventions.
• Develop probabilistic and rule‑augmented models that handle noisy, sparse, or partially labeled international data while maintaining explainability and regulatory defensibility.
• Define and evolve the international extension of Socure’s identity graph: schema design, linkage strategies, quality tiers, and confidence scoring that can be leveraged by multiple products (Verify, KYC, watchlists, fraud).
• Design and implement robust data quality and monitoring frameworks for international identity data (coverage, stability, drift, regional bias, label quality) and integrate them into modeling and production monitoring workflows.
• Own experimentation strategy for major international eKYC initiatives: Design offline evaluations and online A/B tests that reflect local ground truth constraints and data sparsity.
• Define success metrics that balance approval rates, fraud capture, and regulatory/operational constraints per market.
• Analyze lift, stability, and fairness trade‑offs and drive go/no‑go decisions with Product and Engineering.
• Contribute to model governance documentation and support responses to regulators and large enterprise customers regarding model logic, data provenance, fairness, and monitoring for international markets.

Senior Data Scientist – International eKYC, Identity Graph

• Own the design, development, and evaluation of machine learning, statistical, and graph-based algorithms for entity-resolution, identity trust scoring, and anomaly detection on massive datasets.
• Architect and optimize graph-based identity representations (identity graph structure, linkage rules, clustering) to improve match rates, reduce false positives/negatives, and support downstream fraud and KYC models.
• Build and maintain scalable data pipelines and feature stores in Spark/PySpark (or Scala), including data normalization, deduplication, and feature computation across large PII datasets in AWS/Databricks environments.
• Lead A/B tests and offline/online experimentation for new models, features, and data sources; define success metrics, design experiments, and ensure rigorous validation before rollout.
• Evaluate new internal and external data sources: explore signal quality, design backtests, quantify incremental value, and provide clear recommendations on vendor selection and integration.
• Partner closely with product managers and engineers to translate ambiguous business and regulatory requirements (e.g., KYC coverage, watchlist matching) into concrete modeling and data roadmaps.
• Provide deep analytical support to Socure’s compliance and regulatory product suite, including investigative analyses, root‑cause analysis for anomalies, and clear narratives for internal and external stakeholders.
• Contribute to model governance and documentation: clearly explain model logic, data dependencies, limitations, and monitoring plans to internal risk/compliance stakeholders.
• Mentor junior data scientists and engineers on best practices in data exploration, feature engineering, experimentation, and code quality.
• Communicate complex technical concepts and trade‑offs in a concise, structured way to both technical and non‑technical audiences (e.g., product reviews, customer meetings, internal briefings).

Senior Data Scientist – Big Data R&D, Identity Graph, KYC

• Contribute to the design and implementation of machine learning, data mining, statistical, and graph-based algorithms to analyze very large datasets for identity verification and anomaly detection.
• Analyze large datasets to help develop and refine entity-resolution and identity-matching algorithms that drive Socure’s KYC and compliance solutions.
• Build and maintain components of data-processing pipelines (ETL, feature generation, normalization) using tools such as Spark/PySpark and AWS (e.g., EMR, S3).
• Support senior data scientists with feature engineering, data exploration, error analysis, and A/B test setup for new models and signals.
• Help evaluate new third‑party and internal data sources: profile data quality, design offline experiments, and summarize impact on coverage and model performance.
• Implement and maintain SQL and Python/R code for data extraction, transformation, and validation; contribute to code reviews and basic testing.
• Provide analytical support to compliance and regulatory product teams, including ad hoc investigations, simple dashboards, and data deep dives.
• Communicate findings in a clear, structured way to peers and cross‑functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade‑offs.
• Work effectively in a fast‑paced, cross‑functional environment; demonstrate ownership of well-scoped tasks and follow through to completion.

Data Scientist II – Big Data R&D, Identity Graph, KYC

Product Manager

• Help define and build systems that enforce age-based access without unnecessary friction
• Power age estimation and age assurance with strong accuracy and accountability
• Support minor and guardian consent workflows across different regions
• Translate signals into clear, enforceable product decisions
• Evolve with changing global regulations and platform requirements
• Work closely with Engineering, Data Science, Legal, and Trust & Safety to make decisions where tradeoffs are constant and rarely straightforward

Senior Product Manager – Age Assurance

Crypto

• Reporting to the Head of Solution Consulting
• Responsible for all new and existing business in our crypto & stablecoin vertical
• Managing a team of Solution Consultants who serve as the primary technical point-of-contact throughout the sales cycle and product implementation process
• Work collaboratively with various departments across the organization to support the sales process
• Ensuring successful growth of the people and clients under their remit
• Coordinating resources across several functional areas
• Work with other senior employees across the organization in ensuring our products are at the forefront of the industry

Head of Solution Consulting, Crypto

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

• Own end-to-end email marketing and automation
• Build, manage, and optimize all lifecycle email programs in Marketo
• Implement segmentation strategies tied to funnel stage, persona, industry/vertical, and behavior signals
• Drive pipeline through webinar programs
• Plan, produce, and optimize a regular webinar cadence across Zoom Webinars and ON24
• Design post-event nurture and sales follow-up motions that convert registrants and attendees into opportunities and pipeline
• Build and refine lead nurture architecture
• Design multi-touch nurture journeys that move prospects from MQL to SQL
• Partner with Sales, SDR, and RevOps to align on lead scoring thresholds, routing logic, SLA handoffs, and messaging
• Measure and report on pipeline contribution
• Own lifecycle marketing reporting across Marketo and Salesforce
• Build and maintain dashboards and recurring performance readouts for marketing and sales leadership
• Run continuous experimentation
• Establish a rigorous A/B testing cadence across subject lines, CTAs, send timing, content formats, landing pages, and webinar structures
• Document insights and roll winning variants into standard programs to improve open rates, CTR, registration and attendance, conversion to MQL/SQL, and pipeline metrics
• Maintain database health and compliance
• Oversee list hygiene, opt-in/opt-out handling, segmentation quality, and deliverability health within Marketo and Salesforce
• Ensure all programs comply with CAN-SPAM, GDPR, and CASL requirements

Lifecycle Marketing Manager

• Lead and manage customer engagement and communication programs, across channels including organic and paid channels, content, email, and virtual and live events
• Collaborate with Product Marketing, Field Marketing, Partner Marketing teams to identify opportunities for leverage and scale initiatives across customer programs
• Continually measure, monitor and drive improvement in program approaches; employ industry best practices and look for opportunities to increase effectiveness and efficiency
• Present regularly on program performance and learnings to key stakeholders
• Proactively ideate and propose new approaches for compelling customer engagement programs that drive sustainability
• Build rapport with customers to increase renewals, referrals, and cross-sell and upsell opportunities