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$210к-256к/год
$180к$210кмедиана$250к
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Роль четко описана, привязана к измеримым результатам и развивается в быстрорастущей сфере AI-инфраструктуры, но высокая ответственность в стартапе может означать неопределенность и частые изменения.
?Много самостоятельности
Сфера на подъеме
Понятные результаты
Практика с AI-агентами
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Field Execution Partner, AI Field Engineering (AI/ML): Designing and scaling enablement, onboarding, change-management, and AI-agent programs that improve technical win rates, ramp compliance, and productivity for AI Field Engineers with an accent on technical pre-sales execution, field best-practice development, and operational measurement. Focus on building AI agents for POC preparation, evaluation design, and technical objection handling while driving consistent execution across a growing AMER-based team.
Location: San Mateo; hybrid. Other locations include New York and remote within the United States. Must be based in AMER and willing to travel approximately 15–20% for team events and trainings.
Salary: $210K–$256K plus equity.
Company
Fireworks AI provides infrastructure for building, training, and serving specialized AI models across text, image, embedding, audio, and multimodal workloads.
What you will do
Partner with AI Field Engineering leadership and Revenue Operations to execute go-to-market changes and multi-quarter transformations.
Design and deliver continuous technical training, process execution, skills workshops, and manager-led certifications for experienced AFEs.
Audit and improve Firecademy onboarding and the full ramp program for new AFEs, tracking time to first technical win, ramp compliance, and productivity.
Identify and scale field best practices through call reviews, field conversations, performance data, peer showcases, POC reviews, and a curated call library.
Feed field insights back into the broader go-to-market organization.
Design and ship AI agents for POC preparation, evaluation design, and technical objection handling within the AFE workflow.
Requirements
8+ years of experience, including significant experience as an AFE, Solutions Architect, Sales Engineer, or in a similar technical pre-sales role.
Technical depth in AI/ML or developer infrastructure, with credibility to coach technical sellers working with technical buyers.
Track record of driving change across a team and defining, tracking, and acting on outcome metrics.
Strong content development and live facilitation skills for technical audiences, from new-hire cohorts to experienced practitioners.
Hands-on experience building AI agents or applications through prompting, no-code, low-code, or code; an engineering degree is not required.
Ability to thrive in ambiguity, high ownership, and a high-growth startup environment.
Based in AMER and willing to travel approximately 15–20%.
Nice to have
Experience leading a technical pre-sales team as a first- or second-line leader, or serving as Chief of Staff to a GTM leader.
AFE, SA, or SE experience in AI/ML infrastructure, developer tools, or API-first and consumption-based businesses, including literacy in usage-based pricing models.
Ownership of onboarding, ramp, or enablement programs for technical sellers.
Fluency in enterprise sales methodologies such as Command of the Message and MEDDICC applied to technical pre-sales.
Familiarity with enablement tooling and systems including LMS, CMS, CRM, and conversation intelligence.
Culture & Benefits
Individual contributor role reporting to the Head of GTM Enablement.
Work on AI infrastructure challenges including low-latency inference and scalable model serving.
High-growth, high-ownership environment with direct impact and limited bureaucracy.
Collaboration with engineers and AI researchers on emerging AI technology.
Equity included in the compensation package.
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