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Zania

AI agents for enterprise GRC workflows

Palo Alto, CAOnsite1-50cybersecuritySeries A
About

Zania builds autonomous AI agents that execute complex governance, risk, and compliance tasks including third-party risk assessments, audits, and controls testing. It serves security teams at Fortune 500 companies and audit firms, delivering accurate, explainable outputs to replace manual work. This enables GRC professionals to focus on strategic decisions rather than busywork.

Perks & benefits
competitive salary & equityflexible paid time offfree meals & snacksrelocation & immigration support
Browse by role
Open roles · 10
Zania

Project Manager, Operations & Technical Recruiting

Own high-volume technical recruiting pipeline and interview coordination while building operational systems and project tracking to support a fast-growing AI startup. Requires 1-2 years recruiting/ops experience and full onsite presence in Palo Alto.

75k – 95kSan Francisco, CARecruitingOn-site1+ YOEAshbyLever
Zania

GRC Engineer

Own enterprise GRC implementations end-to-end: set success goals, lead onboarding to go-live, act as compliance authority for CISOs, and feed product insights back to engineering. Requires 3-8 years GRC/compliance experience and fluency in at least two major frameworks.

130k – 170kSan Francisco, CASolutions ArchitectureOn-site3+ YOEGRCSOC 2
Zania

Product Design Engineer

Designs and builds end-to-end UX for AI-powered GRC platform, owning interfaces, workflows, and component library for enterprise security professionals. Requires 5+ years blending product design and front-end engineering, shipping fast with AI focus.

125k – 220kPalo Alto, CAProduct DesignOn-site5+ YOEReactFigma
Zania

Head of Engineering

Hands-on technical leader owning end-to-end engineering for AI agents in compliance workflows, scaling team from 5 to 20+ engineers while architecting production-grade LLM systems and driving weekly shipping velocity. Requires founder experience, AI expertise, and Bay Area network.

San Francisco, CAEngineering ManagementOn-siteLLMsSaaS
Zania

Engineering Tech Lead

Leads a team of engineers while spending 50%+ time hands-on coding to build scalable agentic AI platform for enterprise GRC. Requires 6+ years software engineering and 2+ years technical leadership experience with Python, TypeScript, React, and AI expertise.

Palo Alto, CAEngineering ManagementOn-site6+ YOELLMsReact
Zania

Founding Growth Marketer

Build and scale demand generation from scratch for an AI GRC startup targeting enterprise customers. Execute multi-channel campaigns including ABM, paid social, SEM, and content; own marketing stack like HubSpot/Salesforce. Requires 5+ years B2B SaaS growth experience and scrappy, data-driven execution.

Palo Alto, CAGrowth MarketingOn-site5+ YOESEMABM
Zania

Founding Account Executive

Founding Account Executive drives full-cycle sales for AI-powered GRC platform, generating own enterprise pipeline, closing six-figure deals, and building sales playbook in early-stage startup. Requires 5+ years B2B SaaS experience with hunter mentality.

Palo Alto, CAAccount ExecutiveOn-site5+ YOEGRCAI Sales
Zania

Founding Senior Software Engineer

Build scalable backend systems and petabyte-scale AI pipelines for agentic GRC platform handling sensitive enterprise data. Requires 5+ years experience with Python, distributed systems, and cloud platforms; full-stack skills a plus.

120k – 230kSan Francisco, CABackend EngineeringOn-site5+ YOEAWSGCP
Zania

Software Engineer

Build scalable backend services and petabyte-scale AI pipelines for agentic GRC platform handling sensitive enterprise data. Requires 5+ years experience with Python, distributed systems, and cloud platforms; full-stack skills a plus.

100k – 200kSan Francisco, CABackend EngineeringOn-site5+ YOEAWSGCP
Zania

Applied AI Engineer

Builds production AI agents and workflows for governance, risk, and compliance, fine-tuning LLMs on proprietary data for high-accuracy tasks like regulatory analysis and risk assessment. Requires 3+ years applied AI experience with production ML systems emphasizing explainability and responsibility.

180k – 250kSan Francisco, CAML EngineeringOn-site3+ YOERAGLLMs