InvoiceCloud, Inc.

Digital Marketing

• Owns end-to-end digital demand generation programs across paid search, paid social, display, ABM platforms, and industry media to drive qualified pipeline growth.
• Launches, monitors, and optimizes campaigns with a focus on lead quality, funnel conversion, and revenue impact within long enterprise sales cycles.
• Tracks and analyzes performance across channels, using KPIs and dashboards to evaluate effectiveness and recommend data-backed optimization strategies.
• Manages digital marketing budgets with discipline, ensuring strong ROI, efficient cost-per-lead metrics, and alignment to growth targets.
• Designs digital strategies tailored to enterprise buyers across government, utility, and insurance verticals, aligning messaging to the needs of CFOs, treasury leaders, billing operations, and IT stakeholders.
• Partners with product marketing to translate complex payment technology, compliance, and regulatory topics into clear, compelling digital content.
• Oversees the distribution of blogs, whitepapers, webinars, videos, and solution briefs to ensure content resonates with priority verticals and buyer stages.
• Builds and executes targeted ABM digital ad campaigns across paid channels for named accounts, delivering personalized messaging to key buyers at each stage of the funnel.
• Continuously experiments with channels, formats, testing strategies, and conversion optimization to improve campaign performance and engagement.
• Leverages intent data, personalization tools, and marketing automation to increase relevance and effectiveness across digital touchpoints.
• Applies AI and automation to enhance campaign optimization, performance analysis, and content experimentation—reducing manual effort while improving speed and precision of execution.
• Identifies and evaluates emerging digital tools and techniques to strengthen demand generation capabilities and maintain a competitive edge.
• Operates autonomously as the owner of digital marketing strategy and execution, from planning and launch through reporting and optimization.
• Builds strong cross-functional alignment with sales, product marketing, and leadership to ensure digital programs support enterprise sales motions.
• Develops and maintains reporting that clearly communicates marketing’s contribution to pipeline and revenue.
• Proactively identifies risks, gaps, and opportunities, adjusting programs to align with evolving business priorities.

Demand Generation Marketing Manager – Digital Marketing

Customer Success Manager

• Builds strong, strategic partnerships with a defined group of clients
• Ensures clients achieve maximum value from the InvoiceCloud platform
• Guides day-to-day engagement, strengthens retention, and influences digital adoption programs
• Identifies opportunities for product expansion
• Executes strategies that increase digital payment adoption and improve customer experience

Security Engineer

• Leads AI Security Architecture & Secure Design initiatives by designing and implementing lifecycle security controls across data ingestion, training, evaluation, deployment, and monitoring environments to measurably reduce AI-specific risk while maintaining product velocity.
• Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems, evaluating risks such as prompt injection, data poisoning, model extraction, model inversion, abuse/misuse, and data leakage, and mapping findings to OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF to drive remediation through engineering teams.
• Defines and operationalizes Monitoring, Detection & Incident Response capabilities for AI systems by implementing prompt and output telemetry, tool-call logging, anomaly detection, and AI-specific incident response playbooks integrated into SIEM/SOC workflows.
• Delivers measurable outcomes aligned to 30-, 150-, and 210-day milestones, including secure reference architectures, hardened AI environments, integrated security controls, and executive-ready reporting on AI risk reduction and posture maturity.
• Establishes and formalizes AI Governance, Privacy & Third-Party Risk requirements by defining security expectations for AI use cases, third-party models, vendor integrations, and sensitive data usage, embedding controls into SDLC, procurement, and engineering standards.
• Drives Cross-Functional Collaboration & Enablement by partnering with Engineering, Data Science, DevSecOps, Product, Legal/Privacy, and SOC teams to align on risk appetite, escalation paths, and secure design guardrails while raising AI security maturity across the organization.
• Inventories current and planned AI/ML initiatives, documents system architectures and sensitive-data touchpoints, and implements a structured AI security intake and risk-rating process that ensures accountability and transparency.
• Develops and communicates forward-looking 6- and 12-month AI security maturation plans that align technical priorities with business goals and clearly articulate risk trends, metrics, and investment needs to Security leadership and the CISO.
• Integrates Secure MLOps / MLSecOps controls into AI delivery pipelines, including secure model registries, artifact signing and provenance validation, dependency scanning, secrets management, CI/CD guardrails, and hardened training and inference environments across AWS and Azure.
• Builds and scales AI Security Testing & Red Teaming workflows by creating repeatable adversarial evaluation plans for jailbreaks, model evasion, prompt injection, and data exfiltration scenarios, ensuring security controls remain effective over time.
• Develops automated regression test harnesses to continuously validate AI security protections as models, prompts, and dependencies evolve, reducing manual effort and improving coverage.
• Establishes a sustainable AI security operating rhythm that includes intake reviews, threat modeling checkpoints, remediation tracking, and structured monitoring ownership to bring consistency and order to AI risk management.
• Advances AI Security Testing & Red Teaming capabilities through adversarial experimentation and multi-dimensional analysis, proactively identifying emerging AI threat patterns before production impact.
• Leverages AI and automation to strengthen testing coverage, automate regression validation, enhance anomaly detection logic, and improve the scalability of AI security monitoring and response.
• Continuously evaluates emerging AI security research, tooling advancements, and regulatory developments, translating insights into adaptive defensive controls that support InvoiceCloud’s AI-first strategy while enabling responsible innovation.

Demand Generation Marketing Manager – Digital Marketing

Customer Success Manager

AI Security Engineer