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The Director of Sales Operations will lead revenue planning, forecasting, pipeline integrity, sales processes, CRM architecture, analytics, and operating cadence. Responsibilities include quota and territory design, compensation planning, dashboard development, deal inspections, sales technology optimization, partner and channel support, and cross-functional alignment across Sales, Marketing, Customer Success, and Finance. The role requires scaling enterprise B2B SaaS sales operations and delivering actionable insights to executive leadership.

Own the architecture, administration, integrations, governance, automation, and roadmap for Zenity’s GTM applications and HubSpot ecosystem. Build scalable CRM workflows, data pipelines, reporting, AI-enabled processes, partner and marketplace capabilities, and security controls. Manage vendors, budgets, adoption, and change management while partnering with Sales, Marketing, Finance, Customer Success, and Enablement to improve efficiency and support enterprise sales growth.

Lead the design, implementation, and evolution of scalable, secure cloud infrastructure across AWS and multi-cloud environments. Build automation frameworks, infrastructure-as-code, CI/CD pipelines, observability systems, and resilient production platforms. Partner with engineering teams to improve deployment efficiency, reliability, and developer productivity. Make technical tradeoffs involving cost, speed, and performance while mentoring teams and promoting DevOps culture and operational ownership.

Own a Fortune 1000-focused Southern California territory, develop strategic enterprise accounts, generate pipeline, and lead complex SaaS sales cycles. Engage CISOs and senior security, cloud, AI, governance, and executive stakeholders; manage technical discovery and proof-of-concepts; navigate procurement committees; and coordinate partner-influenced deals with VARs, hyperscalers, and alliances. The role requires enterprise SaaS sales experience, cybersecurity exposure, executive presence, and willingness to travel within the territory.

Own technical and strategic success for complex enterprise accounts post-sale. Lead deployments, integrations, governance approvals, escalations, strategic reviews, and expansion opportunities while coordinating customers, Product, Engineering, Sales, Support, and external technology teams. Translate customer requirements into success plans and product insights, manage technical risks, influence roadmap direction, and mentor Customer Success colleagues. The role requires substantial cybersecurity expertise, enterprise SaaS experience, executive communication, and ownership of complex customer outcomes.

Lead and grow a platform engineering organization spanning software engineering, DevOps, infrastructure, and platform operations. Own multi-cloud architecture, Kubernetes, CI/CD, BYOC capabilities, and operational excellence while partnering with Product, R&D, and executive leadership. Establish engineering processes, recruit and mentor managers and senior individual contributors, and apply modern AI concepts to engineering workflows in a high-growth cybersecurity startup.

Lead the architectural evolution of an AI cybersecurity platform by designing scalable cloud, data, and AI systems. Build prototypes, validate emerging technologies, guide architecture across engineering, product, and data science, and lead design reviews for secure, reliable production systems. Mentor engineers through hands-on collaboration while advancing AI-native engineering practices.

Own HR operations between onboarding and offboarding, including employee lifecycle changes, payroll inputs, benefits administration, HR compliance, employment documentation, and employee records. Manage HiBob data, benefits vendors, compliance updates, contracts, policies, and employee inquiries. Partner with Finance, Legal, and People teams while improving and automating manual processes in a growing company.

The role requires owning and enhancing existing features, building security solutions for enterprise customers, and collaborating with various teams to scale Zenity's platform.

Own AI projects from discovery through production, building and deploying AI-powered applications and workflows for GTM, operations, product, strategy, and partner teams. Translate ambiguous processes into scalable systems, integrate applications with the GTM technology stack, gather user requirements, prioritize projects, and coordinate cross-functional execution. Use structured data and context to improve AI reliability and track business performance.