Zscaler

Senior AI Analyst, GTM Intelligence

Zscaler • $108K — $155K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of IT experience with software development life cycle knowledge
  • 3+ years hands-on experience with Salesforce.com Sales Cloud
  • Proven ability to gather requirements and implement Salesforce solutions for sales and partner management
  • Demonstrated experience working with cross-functional and globally distributed teams
  • Strong analytical and data-driven skills with effective communication and organization

Responsibilities

  • Lead as a process and systems owner for GTM strategies across tools
  • Facilitate discussions with stakeholders to define business and systems goals
  • Translate business needs into functional and technical designs
  • Design and implement automated workflows for sales processes
  • Guide teams through implementation and optimization of GTM processes in Salesforce

Benefits

  • Variety of health plan options
  • Vacation and sick time policies
  • Parental leave provisions
  • Retirement plan options
  • Educational reimbursements
  • In-office perks and additional employee benefits
Full Job Description
Role

We are looking for a Senior AI Analyst, GTM Intelligence to join our team in a Remote within the United States role, reporting to the Director, CRM & PRM Applications in the Information Technology Business Apps department. You will combine deep SaaS GTM domain knowledge with experience defining decision-grade signals for sellers-across both direct and partner/channel-led selling-and partner with engineering to bring them to life as AI agents. In this role, you will identify where reps, partner managers, and leaders need real-time signals, and work with engineering to build and prioritize the roadmap for how AI-generated signals power seller decisions across the business.

What You'll Do (Role Expectations)
  • 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

Who You Are (Success Profile)
  • You are a strategic translator who can bridge the gap between ambiguous business needs and concrete, buildable engineering requirements.
  • You are highly analytical and detail-oriented, taking pride in maintaining a single source of truth that drives decisions across direct and partner channels.
  • You are outcome-focused and execution-driven, with a track record of delivering products that teams actually adopt rather than just creating proof of concepts.
  • You are an exceptional collaborator who builds strong cross-functional partnerships across Sales, RevOps, partner teams, and technical engineering departments.
  • You are a strong communicator who can translate complex data, performance metrics, and technical signals into compelling, revenue-focused narratives for leadership.

What We're Looking For (Minimum Qualifications)
  • 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

What Will Make You Stand Out (Preferred Qualifications)
  • 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

#LI-Remote #LI-YC2

Zscaler's salary ranges are benchmarked and are determined by role and level. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations and could be higher or lower based on a multitude of factors, including job-related skills, experience, and relevant education or training.

The base salary range listed for this full-time position excludes commission/ bonus/ equity (if applicable) + benefits.

Base Pay Range

$108,500-$155,000 USD

Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:

  • Various health plans
  • Time off plans for vacation and sick time
  • Parental leave options
  • Retirement options
  • Education reimbursement
  • In-office perks, and more!


Learn more about Zscaler's hybrid working model and benefits here.

About Zscaler

Zscaler is a cloud-based information security company that provides Internet security, web security, firewalls, sandboxing, SSL inspection, antivirus, vulnerability management and granular control of user activity in cloud computing, mobile and Internet of things environments. The company is headquartered in San Jose, California, and has offices in Australia, India, Japan, Singapore, the United Kingdom, and the United States.
Learn more about Zscaler
Size
3,153 employees
Market Cap
$15.5 billion
Industry
Net Income
-$191.4 million
Founded
2008
5 Year Trend
+54.1%
Revenue
$536 million
NASDAQ

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