Чётко описанная руководящая роль в быстрорастущей AI-компании с оплатой выше медианы рынка и хорошими льготами; доступна только специалистам в США.
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Hirify AI/Оригинал
TL;DR
Solutions Engineering Manager (AI): Leading and developing a team of Solutions Engineers supporting enterprise customers and delivering technical discovery, demonstrations, workshops, pilots, and solution strategy with an accent on AI fluency, cloud architecture, integrations, and customer outcomes. Focus on building repeatable regional operating practices, coaching complex enterprise opportunities, and connecting technical decisions to business value.
Location: Remote, based in the US Central Region; the posting also lists Nashville.
On-target earnings: $250,000–$330,000 annually, with potential equity and benefits.
Company
Glean develops a Work AI platform combining enterprise search, an AI Assistant, AI agents, SaaS connectors, LLM integrations, and APIs on a secure platform.
What you will do
Lead, coach, and develop a team of Solutions Engineers through feedback, career development, talent planning, and performance management.
Establish regional operating practices with Sales, including account planning, pipeline inspection, technical qualification, coverage planning, and prioritization.
Set standards for technical discovery, solution design, demonstrations, use-case workshops, pilots, and executive presentations.
Coach teams on sales methodologies including Command of the Message and MEDDPICC.
Build repeatable enablement programs and inspection mechanisms to improve execution quality across the region.
Partner with Sales, Applied AI, Post-Sales, Product Management, PMM, and Engineering to improve customer outcomes and communicate product needs.
Requirements
Experience hiring, developing, coaching, and retaining Solutions Engineers or comparable customer-facing technical talent.
Experience leading complex enterprise opportunities involving technical discovery, solution strategy, demonstrations, workshops, and pilots.
Technical fluency in APIs, integrations, cloud architecture, security, networking, and SaaS or hybrid environments.
Strong AI fluency, including practical generative AI applications and considerations around data, security, governance, and adoption.
Hands-on familiarity with GCP, AWS, or Microsoft Azure; experience with information security, cloud security, or audit frameworks is valuable.
Clear communication, polished presentation skills, strong organization, business acumen, and customer-focused judgment.
Culture & Benefits
Remote work from the US Central Region.
Medical, vision, and dental coverage.
Generous time off and a 401k contribution opportunity.
Home office improvement, education, and wellness stipends.
Regular company events and daily healthy lunches.
Inclusive and diverse workplace commitments.
Hiring process
The interview process includes a brief AI-focused exercise or discussion.
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