Senior Staff Applied AI Engineer, GTM

Job not on LinkedIn

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $180k - $225k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Assist GTM AI strategy from discovery through delivery with GTM leaders, RevOps, and product owners • 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 • Design and ship use cases using retrieval-augmented generation, structured-data querying, and agentic workflows • Build monitoring and evaluation frameworks for AI solutions • Implement security controls for customer and commercial data • Establish ROI against GTM KPIs • Drive adoption and change by rolling out solutions, training users, and establishing feedback loops • Improve reusable building blocks such as retrieval pipelines, reference architectures, GTM data connectors, and engineering playbooks • Mentor other engineers • Improve technical implementations, standards, and engineering playbooks for the Applied AI team

🎯 Requirements

• 5+ years of professional software engineering experience, including 3+ years working directly on AI and/or ML projects • Direct experience driving both AI strategy and execution for GTM functions, including shipping solutions used by customer-facing teams with measurable impact on GTM metrics and 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 • Experience working directly with GTM leaders on ambiguous problems, running discovery, creating concrete plans, and communicating trade-offs, risk, and architecture to technical and non-technical audiences • Experience securing AI systems and accessed data, including least-privilege access and protection against prompt injection, data leakage, and unsafe or non-compliant outputs • Strong engineering skills, including deploying and running AI at scale • Proficiency in Python • Experience integrating across GTM systems of record • Experience releasing and monitoring AI systems on a major cloud platform • Proven ability to leverage AI technologies and workflows to drive measurable operational efficiency (preferred) • GTM experience at a B2B enterprise SaaS or cybersecurity company; prior RevOps, Sales Engineering, or GTM Strategy experience is a strong plus (preferred) • Experience with graph-based knowledge systems and long-term agent memory, including account and relationship graphs, GraphRAG, or persistent context across an account’s history (preferred) • Experience building automated evaluation frameworks such as LLM-as-judge or regression testing for AI quality, ideally with A/B or holdout experiments (preferred)

🏖️ Benefits

• Various health plans • Time off plans for vacation and sick time • Parental leave options • Retirement options • Education reimbursement • In-office perks • Inclusive benefits for employees and their families • Reasonable accommodations or adjustments in recruiting processes