Sr. Staff Applied AI Engineer, GTM

The role

You will build and ship secure, production-grade AI solutions for go-to-market (GTM) revenue teams. You will also advise GTM leaders on AI strategy, roadmap, and Build/Partner/Buy decisions, and improve the reusable standards and playbooks the Applied AI team uses.

What you will do

• Embed with GTM leaders, RevOps and product owners to map the revenue lifecycle and set the GTM AI roadmap
• Advise on feasibility, cost, risk, and Build/Partner/Buy decisions
• Build and deploy secure, production-grade AI solutions for revenue teams using retrieval-augmented generation, structured-data querying, and agentic workflows
• Run each solution like a product tied to revenue, with monitoring, evaluation, security controls, and ROI against GTM KPIs
• Drive adoption with Sales Enablement, GTM Operations and frontline managers, including training and feedback loops
• Improve reusable building blocks such as retrieval pipelines, reference architectures, GTM data connectors, and engineering playbooks
• Mentor other engineers

Required qualifications

• 5+ years of professional software engineering experience
• 3+ years working directly on AI and/or ML projects
• Direct experience driving AI strategy and execution for GTM functions (Sales, Marketing, Partner Enablement), with solutions used by customer-facing teams and measurable impact on GTM metrics
• Fluency in the revenue lifecycle
• Hands-on experience with retrieval methods, reusable skill development, agentic orchestration, Model Context Protocol (MCP), and agent-to-agent (A2A) frameworks
• Track record working directly with GTM leaders on ambiguous problems, running discovery and communicating trade-offs, risk, and architecture
• Experience securing AI systems and their data, including least-privilege access and defenses against prompt injection, data leakage, and unsafe outputs
• Strong engineering skills: deploying and running AI at scale, proficiency in Python, integrating across GTM systems of record, releasing and monitoring AI systems on a major cloud platform

Nice to have

• Proven ability to use AI technologies and workflows to drive measurable operational efficiency
• GTM experience at a B2B enterprise SaaS or cybersecurity company with complex, multi-motion sales; prior RevOps, Sales Engineering or GTM Strategy role is a strong plus
• Direct experience with graph-based knowledge systems and long-term agent memory, such as account and relationship graphs, GraphRAG, or persistent account context
• Experience building automated evaluation frameworks (such as LLM-as-judge or regression testing), ideally with A/B or holdout experiments measuring business lift

Benefits

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

Before you apply

• Applicants must adhere to applicable laws, regulations, and Zscaler security and privacy policies

About the company

Zscaler (NASDAQ: ZS) provides the Zero Trust Exchange cloud security platform, which securely connects users, devices and applications in any location. The company describes its SASE-based platform as the world's largest in-line cloud security platform.