4 часа назад
Manager, Forward Deployed Engineering (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Forward Deployed Engineering (AI): Leading forward-deployed engineers delivering enterprise AI deployments with an accent on team development, capacity planning, technical guidance, and complex systems integration. Focus on building scalable field engineering practices, unblocking production issues, and translating recurring customer needs into productization proposals.
Location: Berlin, London, or Munich office; remote work from Germany or the UK
Company
builds agentic AI for enterprise customer conversations and has powered more than one billion interactions for global brands.
What you will do
- Lead, hire, coach, and develop a team of forward-deployed engineers.
- Plan capacity and staffing across multiple strategic enterprise deployments.
- Own engineering delivery, including milestones, dependencies, risks, escalations, and stakeholder alignment.
- Provide technical guidance on architecture and implementation, review designs and code, and unblock critical production issues.
- Create reusable field engineering patterns, playbooks, and standards to improve deployment reliability and speed.
- Partner with customer engineering teams, Product, and Core Engineering to deliver integrations and turn recurring needs into product improvements.
Requirements
- 8+ years of experience in software engineering, systems integration, DevOps, or data engineering with meaningful production responsibility.
- Proven experience leading and developing engineers through management, team leadership, coaching, hiring, or performance development.
- Experience delivering complex technical projects in large enterprise environments with multiple stakeholders and constraints.
- Strong breadth across backend engineering, APIs, cloud platforms, Kubernetes, infrastructure as code, and databases.
- Ability to own technical workstreams, debug production issues, and contribute hands-on when needed.
- Strong planning, prioritization, risk management, and customer-facing communication skills.
Nice to have
- Experience building or integrating AI/LLM-powered systems, including agent workflows, orchestration, evaluation, vector databases, or guardrails.
- Experience in forward-deployed or solutions engineering environments.
Culture & Benefits
- Work on agentic AI for complex, high-volume enterprise customer interactions.
- Ownership of outcomes, direct feedback, and a high standard for execution.
- Fast-paced environment with meaningful contribution expected from the start.
- Commitment to GDPR, ISO 27001, and strong data protection standards.
- Equal opportunity employment.
Hiring process
- Talent Acquisition interview.
- Hiring Manager interview followed by technical interviews.
- Bar Raiser interview.
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