Jobs at Zenity

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.

Lead outbound strategic alliances with major enterprise SaaS and platform players, manage inbound partnership requests, and build a formal technology partner program. Define offerings, GTM motions, co-sell and enablement, and drive partner-sourced pipeline by working cross-functionally with sales, product, and marketing. Track program health and revenue impact while scaling partner tiers and processes.

Own the EMEA pre-sales technical sales cycle for an AI agent security platform. Partner with Account Executives on discovery, evaluations, proof-of-value engagements, technical validation, demos, objection handling, competitive positioning, and deal strategy. Engage security and engineering stakeholders, translate technical capabilities into business value, develop presales assets, and represent Zenity in customer conversations and security communities.

Own company-wide budgeting, rolling forecasts, SaaS revenue modeling, financial reporting, variance analysis, and executive decision support. Track SaaS metrics and unit economics, prepare board and investor materials, support fundraising and long-range planning, and improve financial processes, systems, and data quality. The role partners closely with department heads and C-level leadership while helping expand the FP&A function.

Own a Fortune 1000-focused territory and develop strategic enterprise accounts. Generate pipeline, manage complex multi-stakeholder sales cycles, engage CISOs and senior security leaders, lead technical discovery and proof-of-concepts, and navigate long procurement processes. Collaborate with engineering, partners, VARs, hyperscalers, and strategic alliances to close opportunities. The role requires enterprise SaaS sales experience, executive presence, cybersecurity exposure, and willingness to travel throughout the Chicago territory.

Own a Fortune 1000 enterprise territory, build strategic account plans, generate pipeline, and lead complex multi-stakeholder SaaS sales cycles. Engage CISOs and senior security executives, manage technical discovery and proof-of-concepts, navigate procurement committees, and coordinate partner-influenced opportunities with VARs, hyperscalers, and alliances. The role requires enterprise sales experience, cybersecurity or related domain knowledge, executive presence, and willingness to travel within the territory.

The Senior Product Manager will lead platform integration strategies with major AI technologies, define features, manage backlogs, and communicate project statuses.

Own US revenue accounting and month-end close under US GAAP/ASC 606, manage AR/AP and billing for enterprise customers, support audits and taxes, partner with GTM on deal structuring and pricing, build scalable finance processes, strengthen controls, and apply AI tools to accounting workflows.

The Senior Software Engineer will design scalable Big Data pipelines, deliver high-quality engineering, and work on GenAI security solutions, collaborating with teams to solve complex problems.

Embed onsite with a strategic customer to design, configure, deploy, integrate, test, and troubleshoot Zenity’s AI security platform. Gather requirements, integrate customer data, APIs, infrastructure, and identity systems, lead security investigations, manage incidents, translate findings for engineering, advocate for roadmap priorities, and coordinate customer and Zenity teams through issue resolution.

Embed onsite with a strategic customer to deploy, configure, integrate, test, and troubleshoot Zenity’s AI security platform across customer data, APIs, infrastructure, identity systems, and AI platforms. Lead security investigations, incidents, validation efforts, and issue resolution while translating customer needs into engineering requirements. Act as the primary liaison between customer and Zenity teams, run accountability cadences, advise on AI security best practices, and feed field insights into product roadmap decisions.

Embed onsite with Microsoft as a senior engineer to design, build, deploy, and validate production-grade integrations and AI security capabilities on Zenity's platform. Lead technical deployments, run investigations, translate findings to engineering, and influence product roadmap while ensuring enterprise reliability, security, and performance.

Build and lead Zenity’s partner marketing function across VARs, solution providers, hyperscalers, and technical integration partners. Develop multi-touch account-based campaigns, co-marketing programs, partner enablement, and go-to-market support for integrations. Manage partner relationships with autonomy, collaborate with Alliances and Product Marketing, and drive measurable pipeline through creative startup-scale programs.

Perform offensive security research against agentic AI and LLM ecosystems, discover novel attack vectors, build tooling and test frameworks, analyze surrounding components (plugins, connectors, orchestration), and collaborate with product and engineering to turn findings into defenses.

Own a Fortune 1000-focused territory, build strategic relationships with CISOs and security leaders, drive complex enterprise sales cycles, manage technical discovery and POCs, collaborate with partners and engineering, and generate pipeline through events and partner motions. Requires travel within territory.

Develop, train, evaluate, and deploy detection models for AI security. Translate threat research into production-ready models across ML, deep learning, LLMs, and agentic systems. Build benchmarks, labeled datasets, monitor production performance, and iterate with security researchers to ensure reliability and measurable impact.