Чёткая зона ответственности, влияние на ключевые IT-системы и работа с внедрением и управлением AI делают роль значимой, но офисный формат ограничивает гибкость.
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Работа из офисаAI в IT-процессахПонятная зона ответственностиСовременные технологии
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Head of IT Systems Engineering (AI): Leading the strategy, architecture, and operations for SaaS applications, corporate endpoints, identity, and user lifecycle with an accent on AI governance, automation, and secure employee productivity. Focus on building AI agents and integrations, governing data access and vendor risk, and scaling client platform, application engineering, and identity teams.
Location: San Francisco, California, United States; office-centric hybrid schedule with standard in-office days on Monday, Tuesday, and Thursday. Most employees may work from home on Wednesdays; Friday remote work depends on the role and partner teams.
Base salary: $252,000–$296,000 per year, with potential additional equity, sales incentive pay where applicable, and benefits.
Company
Asana provides a platform for human and AI collaboration used by millions of teams worldwide.
What you will do
Develop the multi-year vision, roadmap, and architecture for Systems Engineering, aligned with business priorities and Asana’s AI strategy.
Lead and grow the Client Platform Engineering, Application Engineering, and Identity & Integrations teams, including hiring, performance management, succession planning, and career development.
Own corporate endpoint management, SaaS application management, identity, and the full user lifecycle.
Drive IT’s AI strategy by evaluating and governing Claude, Gemini, OpenAI, AI agents, and automation for onboarding, access requests, support, and compliance workflows.
Partner with Security, Legal, Privacy, IT Support, and IT Infrastructure on AI policies, data access controls, vendor risk, issue resolution, and employee experience.
Set client platform standards, improve performance and configuration compliance, and communicate priorities, tradeoffs, and results to senior stakeholders.
Requirements
10+ years of IT experience, including 5+ years directly leading systems engineering and software engineering teams in a fast-paced, cloud-first environment.
Proven ownership of purchasing, inventory management, and budgeting at scale.
Strong hands-on knowledge of IAM, cloud-based identity, SSO, SAML, and SCIM.
Experience with hosted cloud applications including Okta, Google Workspace, Asana, Figma, and Slack.
Experience establishing governance for emerging technology, including AI usage policy, data protection, and vendor risk review.
Experience setting strategy and roadmaps, delegating effectively, and coaching or unblocking teams while staying close to technical details.
Experience with configuration management and automation tools such as JAMF, Intune, Puppet, and Munki.
Working knowledge of scripting and API integration using REST, OAuth, Python, PowerShell, Bash, or equivalent.
Hands-on experience deploying, administering, and integrating enterprise AI platforms such as Claude and OpenAI through APIs, connectors, and MCP servers.
Strong problem-solving, communication, documentation, stakeholder influence, service orientation, and curiosity about emerging AI tools.
Culture & Benefits
Office-centric hybrid work model with flexibility varying by role and team.
Mental health, wellness, and fitness benefits.
Career coaching and support.
Inclusive family-building benefits.
Long-term savings or retirement plans.
In-office culinary options and an inclusive workplace supporting diverse backgrounds and perspectives.
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