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Sr. Staff Applied AI Engineer, GTM

AI Engineer Full-time Permanent United States

Job details

$180,000—$225,000 Salary
United States Eligibility
Senior Experience
Full-time Employment

About this role

Role overview

Build secure, production-ready AI tools that improve go-to-market work and measurable revenue outcomes. This senior hands-on engineering role also partners with business leaders to discover opportunities, shape an AI roadmap, weigh build-versus-partner-versus-buy choices, and guide adoption across field teams.

Responsibilities

- Work with go-to-market leaders, revenue operations, and product owners to map business processes, identify opportunities, and assess feasibility, cost, and risk. - Design, build, and deploy AI solutions using retrieval-augmented generation, structured data querying, and agent-based workflows. - Treat solutions as products: establish monitoring and evaluation, protect customer and commercial data, and measure results against business indicators. - Partner with enablement, operations, and frontline managers to roll out tools, train users, and collect practical feedback. - Improve shared engineering assets such as retrieval pipelines, reference architectures, data connectors, and implementation playbooks. - Mentor engineers and help strengthen team standards and technical approaches.

Requirements

- At least five years of professional software engineering experience, including three or more years working directly on AI or machine learning projects. - Experience shaping and delivering AI strategy and working solutions for go-to-market functions such as sales, marketing, or partner enablement. - Ability to take ambiguous business needs through discovery, technical design, production delivery, and measurement of impact. - Strong judgment around security, scalability, monitoring, evaluation, and handling sensitive customer or commercial data. - Effective collaboration and communication skills for working with senior business stakeholders and engineering teams. - Comfort moving between strategic advice and hands-on implementation in a changing environment.

Benefits and work setup

The role is available onsite in Santa Clara, California, or remotely within the United States. The listed base salary range is $180,000–$225,000, excluding any applicable commission, bonus, equity, and benefits. Benefits include health plans, paid time off, parental leave, retirement options, education reimbursement, and office perks.

Skills detected in the listing

PythonGoInformation SecurityLLM
Detected Oct 27, 2026
Last verified Oct 27, 2026

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