обновлено 1 день назад
Senior Manager, Forward Deployed Engineering (AI)
252 000 - 280 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, Forward Deployed Engineering (AI): Leading a customer-facing Forward Deployed Engineering team that delivers tailored AI solutions, supports complex enterprise deals, and converts deployment learnings into reusable tools and product roadmap inputs with an accent on technical execution, commercial outcomes, and team development. Focus on designing PoCs and evaluations, guiding seven-figure opportunities, solving ambiguous customer problems, and scaling playbooks across the organization.
Location: San Francisco, California; hybrid with at least three days per week in the office. Proof of eligibility to work in the United States is required.
Salary: $252,000–$280,000 base salary per year for candidates in the San Francisco Bay Area, plus potential bonus, sales incentive, and RSUs.
Company
develops Fin, an AI Customer Agent and integrated help desk that helps businesses deliver customer support across service, sales, and ecommerce channels.
What you will do
- Lead, coach, hire, and develop a high-performing Forward Deployed Engineering New Business team.
- Own technical execution and business outcomes across complex enterprise customer engagements.
- Act as a player-coach in strategic deals, providing architecture, demos, technical guidance, and product evaluation support.
- Lead discovery, design, and delivery of tailored technical solutions, including PoCs, evaluations, and business value assessments.
- Translate field experience into reusable tools, playbooks, and actionable product roadmap feedback.
- Represent Fin and the FDE function in executive meetings and strategic events.
Requirements
- 5+ years of technical experience as a Software Engineer, Forward Deployed Engineer, Solutions Architect, Applied AI professional, or in a related role.
- 3+ years leading technical, customer-facing teams, including hiring, mentoring, and people management.
- Experience selling and deploying AI, data, or highly technical products in complex enterprise environments.
- Ability to operate in ambiguous problem spaces and turn ambiguity into clear signals for Product and Engineering.
- Strong communication and presentation skills, with flexibility to adjust working hours for global collaboration.
- Eligibility to work in the United States and availability for the hybrid San Francisco office schedule.
Culture & Benefits
- Hybrid work policy with flexibility to work from home.
- Medical, dental, and vision coverage.
- Flexible paid time off and paid parental leave.
- 401(k) plan with company match.
- Regular compensation reviews, equity, and potential bonus or sales incentives.
- Access to Claude Code and other AI tools, bicycle storage, and employee events.
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