Senior AI Analyst, GTM Intelligence

Zscaler•San Jose, CA

5d•$108,500 - $155,000•Remote

About The Position

Zscaler is accelerating digital transformation, enabling customers to be more agile, efficient, resilient, and secure through its Zero Trust Exchange™️ platform. This platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications globally. Zscaler is building an AI-native enterprise where human potential is amplified by machine intelligence to solve complex security challenges. The company values ownership, collaboration, trust through outcomes, and a challenge culture with ongoing feedback. This role is for a Senior AI Analyst, GTM Intelligence, reporting to the Director, CRM & PRM Applications within the Information Technology Business Apps department. The position is remote within the United States. The role involves combining deep SaaS GTM domain knowledge with experience in defining decision-grade signals for sellers (direct and partner/channel-led) and collaborating with engineering to implement them as AI agents. The analyst will identify areas where real-time signals are needed for reps, partner managers, and leaders, and work with engineering to prioritize the roadmap for AI-generated signals to power seller decisions across the business.

Requirements

Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
4-7+ years of experience in a GTM analyst, RevOps, or Sales Strategy role at a B2B SaaS company, with strong domain knowledge across both direct and partner/channel-led selling
Proven ability to translate an ambiguous seller or partner-motion pain point into a concrete, buildable signal specification
Track record of successfully shipping analytical solutions or processes that sellers or partner teams actively adopted in production

Nice To Haves

Proven ability to leverage AI technologies and workflows to drive operational efficiency, backed by exposure to how AI agents or models are built
Experience with multiple signal types, showing analytical range across the sales funnel and across diverse channels
Familiarity with CRM and PRM platforms such as Salesforce, Dynamics, Impartner, or Crossbeam

Responsibilities

Partner with Sales, Partner/Channel, and RevOps leadership to identify where reps and partner teams rely on gut feel, and define signals (deal risk, expansion opportunity, churn risk, next-best-action, partner pipeline health) that convert raw GTM and co-sell data into decisions they can act on
Own the signals repository covering business logic, inputs, owner, and status for every signal, spanning direct and partner-sourced motions, as the single source of truth for GTM and engineering
Partner closely with engineering through build and iteration, translating business logic into requirements, reviewing outputs, and course-correcting based on real seller and partner behavior
Prioritize the signal roadmap across the full seller journey and both channels, and drive adoption by embedding signals into existing workflows (CRM, PRM, Slack, dashboards)
Present signal performance and business impact to GTM leadership in terms tied to revenue outcomes like pipeline conversion, retention, and rep and partner productivity