обновлено 4 часа назад
Senior Manager, AI Engineering (Agent OS Platform)
239 300 - 358 900$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Manager, AI Engineering (Agent OS Platform) (AI Agent Platforms): Building the shared Agent OS runtime, context, memory, action, trust, and evaluation foundations for role-specific AI experiences with an accent on production safety, governed actions, and enterprise-scale reliability. Focus on designing agent workflows, approval and permission controls, evaluation systems, observability, and secure integration with systems of record.
Location: Remote in the United States and Canada; significant Pacific Time overlap is preferred.
Salary: $239,300–$358,900 USD annually for eligible US locations, depending on compensation zone. Additional annual bonus, equity, and benefits are included.
Company
builds software for the trades, including an Agent OS platform that powers AI experiences across field, office, voice, mobile, and other product surfaces.
What you will do
- Lead a hands-on AI platform engineering team through architecture, implementation, production launch, and iteration.
- Build shared Agent OS foundations for runtime execution, workflows, context, memory, capabilities, actions, trust, evaluation, and observability.
- Define platform contracts for tools, permissions, approvals, evidence, memory, role shells, and governed capabilities.
- Drive production evaluation through scenario design, regression suites, simulation, trace review, quality gates, and monitoring.
- Partner with Product, Design, Architecture, Security, Data Platform, Atlas, and domain engineering teams.
- Hire, coach, and retain engineers while remaining involved in design reviews, debugging, implementation decisions, and production behavior.
Requirements
- 8+ years of software engineering experience, including 4+ years leading engineering teams or major technical initiatives.
- Strong builder background with experience reviewing designs and code, reasoning about distributed systems, and debugging production behavior.
- Production experience with AI, ML, data, platform, infrastructure, workflow, automation, or developer-platform systems.
- Practical knowledge of LLM application architecture, including retrieval, tool calling, structured outputs, memory, model gateways, and agent workflows.
- Experience with APIs, distributed and event-driven systems, data platforms, observability, reliability, security, SQL, vector search, and multi-tenant SaaS constraints.
- Ability to turn ambiguous strategy into sequenced roadmaps, measurable outcomes, and clear ownership.
Nice to have
- Experience with agent runtimes, workflow engines, evaluation platforms, model gateways, ML platforms, developer platforms, or internal control planes.
- Experience with approval-gated automation, compliance-sensitive workflows, policy engines, audit trails, or governed writes to systems of record.
- Background in SaaS, vertical software, field service, fintech, ERP, CRM, marketplaces, or operations-focused products.
Culture & Benefits
- Flexible time off, flextime, learning and development opportunities, onboarding, and leadership training.
- Company-paid medical, dental, and vision coverage, plus FSA, HSA, 401(k) matching, and telehealth options.
- Parental leave and support, fertility, surrogacy, and adoption reimbursement, maternity support, pet insurance, legal advisory services, and financial planning tools.
- Recognition programs, peer-nominated awards, and support for autonomous work.
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