Senior Staff Applied AI Engineer, GTM

🕒 Outubro 26

🏄 California – Remoto

🏄 California – Remote

💵 $180.000 - $225.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Zscaler

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2008

🔒 Cibersegurança

☁️ SaaS

🏢 Corporativo

💰 Secondary Market em 2017-11

Cybersecurity • SaaS • Enterprise

A Zscaler é um provedor líder de soluções de cibersegurança baseadas em nuvem, especializado em arquitetura de Zero Trust. A empresa aprimora a segurança e a conectividade para organizações, permitindo acesso seguro e contínuo a aplicações e dados em diversos ambientes, incluindo a nuvem, data centers locais e sistemas IoT. Com um ROI comprovado e reduções significativas nos riscos de cibersegurança, a Zscaler capacita as empresas a proteger seus recursos digitais enquanto otimiza os custos operacionais.

Descrição

• 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

🎯 Requisitos

• 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)

🏖️ Benefícios

• 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

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