Jobs at Zenity

The Technical Customer Success Manager will lead strategic success for complex enterprise accounts, focusing on technical orchestration, customer onboarding, integration, and relationship management to ensure business outcomes.

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 full-cycle recruiting for US GTM roles (Sales, Marketing, Customer Success, leadership) in AI security. Build sourcing strategies and pipelines, run interviews and debriefs, use AI tools and ATS daily, partner with hiring leaders on hiring criteria, manage pipelines and hiring manager relationships, and deliver a respectful, effective candidate experience.

Serve as a dedicated technical partner for strategic enterprise customers, owning complex technical investigations across integrations, observability, and detection systems. Provide executive communication during high-visibility incidents, drive root-cause resolution, build trust with senior security stakeholders, identify recurring risks and optimizations, and help scale Strategic Support through documentation and on-call participation.

Lead Zenity's global communications: media and analyst relations, executive and internal communications, corporate narrative, social and content. Build PR strategy, manage agencies, ghostwrite for executives, run rapid-response to breaking AI/security news, partner with product marketing, and measure coverage, share of voice, and sentiment to drive category leadership.

The VP of Ecosystem Marketing drives the integrated marketing strategy for AI security, overseeing product narratives, partner relationships, and market positioning to ensure category leadership.

Create technical demos, reference architectures, and workshops that make a complex AI-agent security platform understandable. Gather field and customer feedback, validate AI-generated content for accuracy, enable sales and partners with technical assets, represent the product at events, and support launches and technical positioning across product and marketing teams.