InvoiceCloud, Inc.

Account Executive

• Drive new customer acquisition within the P&C Insurance Carrier and Financial Services markets through self-sourced leads, referrals, and web-based opportunities
• Consistently achieve and exceed sales quotas by executing disciplined enterprise SaaS sales strategies and maintaining strong pipeline health
• Deliver compelling sales presentations and product demonstrations that clearly communicate the value of InvoiceCloud’s solutions
• Travel as needed to support onsite customer presentations, industry tradeshows, and internal sales meetings to advance opportunities
• Engage prospective customers to understand business challenges and develop tailored payment and billing solutions aligned to their needs
• Consult with clients throughout the sales process, acting as a trusted advisor to guide decision-making and solution alignment
• Leverage strong listening, communication, and presentation skills to build credibility and long-term relationships with enterprise stakeholders
• Own the full sales cycle from prospecting through close within a named account list and assigned territory
• Proactively partner with InvoiceCloud ecosystem partners to generate introductions, referrals, and new business opportunities
• Manage multiple opportunities simultaneously, prioritizing effectively and maintaining accurate pipeline tracking in Salesforce or similar CRM systems
• Utilize AI and automation tools to enhance prospecting efficiency, pipeline insights, and sales forecasting accuracy while maintaining data integrity and compliance

Enterprise Account Director – Insurance, Financial Services

• Support our Sales organization as an SMB Account Executive
• Manage a full sales cycle, driving new business growth
• Build and maintain strong relationships with prospects, customers, and partners
• Deliver engaging product demonstrations and presentations
• Use Salesforce.com to manage pipeline and track sales activities
• Independently manage time and priorities while collaborating with teams

SMB Account Executive

Financial Planning and Analysis

• Oversee the topline revenue function for InvoiceCloud while leading key Corporate FP&A processes
• Provide day-to-day guidance and oversight to the Revenue FP&A team member responsible for revenue forecasting
• Partner closely with senior Finance leadership on strategic decisions and management reporting
• Lead the annual budgeting process by partnering with cross-functional business partners to develop actionable assumptions and track progress throughout the year
• Drive the monthly re-forecasting process, maintaining forecast integrity and aligning inputs from functional leaders and the executive team
• Deliver financial analytics and monthly reporting activities by leveraging systems and new processes to streamline routine and ad hoc reporting
• Develop a repeatable cash flow and balance sheet forecasting cadence while improving efficiency in current processes
• Serve as the primary reviewer and thought partner to the Revenue FP&A team member, providing direction, quality review, and guidance
• Own revenue-related commentary in monthly and quarterly reporting packages
• Manage and mentor a team, fostering a culture of ownership, continuous improvement, and high-quality output
• Lead the Revenue Flash and KPI reporting process (Bookings, Go-Lives, Transactions, NRR), ensuring accurate and timely delivery
• Support strategic growth planning through long-term revenue modeling and multi-year planning frameworks
• Provide data-driven analysis and recommendations to senior leadership for strategic decision-making
• Identify opportunities for improvement across forecasting, reporting, and cash modeling processes and implement measurable enhancements
• Partner with Sales and GTM leadership on revenue assumptions, pipeline, go-live timelines, and KPI trends
• Coordinate across GTM, Accounting, and FP&A to deliver accurate revenue reporting and insights
• Lead and/or support quarterly reporting processes including QBR/BoD materials, lender reporting, and executive reporting deliverables
• Collaborate with FP&A business partners, consultants, and system stakeholders to enhance Adaptive Planning and financial systems
• Identify and implement AI-driven or automated solutions (e.g., forecasting models, reporting generation, anomaly detection) to improve FP&A accuracy, speed, and scalability

Senior Manager, FP&A

Marketing Operations

• Support the Marketing team, specifically within Demand Generation
• Conduct data analysis to identify trends, insights, and opportunities for improving marketing ROI
• Analyze marketing campaign performance and develop reports and dashboards to track key performance indicators (KPIs)
• Analyze paid media campaign performance (LinkedIn Ads and digital channels) to improve targeting, cost efficiency, and pipeline generation
• Optimize LinkedIn Sales Navigator workflows, including account targeting, lead list development, and campaign alignment to improve audience relevance and engagement
• Apply insights from campaign and audience data to refine targeting strategies and improve customer acquisition effectiveness
• Support A/B testing initiatives and campaign experimentation to evaluate and improve marketing effectiveness
• Leverage AI and data analysis tools to enhance marketing insights, automate reporting, and identify new optimization opportunities

Marketing Operations Intern

Threat Intelligence Specialist

• Identifying, analyzing, and operationalizing emerging cyber threats across the enterprise.
• Integrating intelligence into actionable detection and response improvements.
• Partnering closely with SOC, DevSecOps, Architecture, and Engineering teams for threat-informed design and improved alert fidelity.
• Building repeatable workflows and supporting system design with threat modeling.
• Communicating risk clearly to technical teams and executive stakeholders.

Cyber Threat Analyst

Security Engineer

• Lead 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.
• Conduct 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.
• Define and operationalize 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.
• Deliver 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.
• Establish and formalize 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.
• Drive 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.
• Integrate 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.
• Build and scale 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.
• Develop automated regression test harnesses to continuously validate AI security protections as models, prompts, and dependencies evolve, reducing manual effort and improving coverage.
• Establish 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.
• Advance AI Security Testing & Red Teaming capabilities through adversarial experimentation and multi-dimensional analysis, proactively identifying emerging AI threat patterns before production impact.
• Leverage 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 evaluate 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.

Enterprise Account Director – Insurance, Financial Services

SMB Account Executive

Senior Manager, FP&A

Marketing Operations Intern

Cyber Threat Analyst

AI Security Engineer