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IT与自动化总监

雇主

Appen

地点

远程 · Remote · 美国

待遇

$USD 140,000 - USD 150,000 / yearly

工作模式

远程

截止日期

1月10日

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岗位摘要

About the Role Appen is looking for a Director of IT & Automation to lead our IT function and help shape how a modern, AI-native company operates. This is a senior leadership role combining technical depth, operational judgement and people leadership. You will work closely with the CPTO and senior leaders across the business to…

岗位职责

About the Role
Appen is looking for a Director of IT & Automation to lead our IT function and help shape how a modern, AI-native company operates.
This is a senior leadership role combining technical depth, operational judgement and people leadership. You will work closely with the CPTO and senior leaders across the business to align technology, risk, service and investment priorities.
You will build and lead a high-performing team across IT support, enterprise technology and automation, hiring technically strong, proactive people who use AI to improve how they work and creating a culture of ownership, continuous improvement and practical problem-solving.
We want someone who sees AI as a genuine lever for changing how IT operates, not simply another tool to add to the stack. You should be comfortable moving between strategy and execution, getting into the technical detail when a problem requires it.
What You'll Own
IT Leadership & Operations
Set the IT roadmap across enterprise technology, support, security and automation.
Lead IT support, endpoint management and major incident response.
Shape the IT operating model and team as Appen grows.
Enterprise Technology
Own the health, configuration and integration of Appen's core enterprise technology environment.
Provide technical leadership across Microsoft 365, including administration, identity, access and security.
Oversee our broader enterprise technology environment, including Salesforce, Workday, Atlassian, AWS, Databricks and Anthropic, ensuring platforms are well integrated, governed and fit for purpose.
Security & Governance
Own IT's role in SOC 2 and ISO 27001, including controls, audit readiness, evidence and remediation.
Maintain appropriate security, access and endpoint controls across the IT environment.
Identify technology and operational risks before they become incidents.
Establish practical governance for AI use across IT, balancing adoption with security, privacy and compliance.
AI & Automation
Make AI and automation core tools for improving IT operations and employee experience.
Identify opportunities to eliminate manual work and apply AI, automation, agents and self-service to areas such as help desk triage, onboarding, provisioning, IT administration and vendor management.
Use tools such as Claude, Cowork, agents and AI-enabled workflows to build and improve solutions.
Partner with Engineering and Product on larger automation initiatives.
Vendors & Commercial Management
Manage Appen's technology vendor portfolio, including selection, negotiation, performance and renewals.
Drive licence rationalisation, vendor consolidation and technology cost optimisation.
Maintain clear visibility of technology spend and partner with Finance on investment decisions.
Team Leadership
Build and develop a high-performing IT team across support, enterprise technology and automation.
Create a culture where people solve problems rather than simply manage them.
What We're Looking For
8+ years in IT, including significant leadership experience.
Proven experience leading IT, including IT support and service delivery, in a fast-paced technology, software or services environment.
Hands-on knowledge of Microsoft 365 and enterprise IT administration.
Technical credibility across enterprise SaaS, cloud infrastructure, endpoints, identity and integrations.
Able to diagnose problems, challenge technical decisions and understand how systems actually work.
Experience with SOC 2, ISO 27001 and IT security governance.
Commercial acumen across vendor management, negotiation and technology spend.
A demonstrated track record of turning AI and automation into working solutions for real IT problems, with examples of processes you have automated, redesigned or eliminated.
Executive presence and the ability to build credibility with senior leaders, technical teams and vendors.
Proactive, resourceful and comfortable operating with ambiguity.
Particularly valuable: Deep AWS experience, cloud cost management, experience administering Salesforce, Workday or Atlassian, familiarity with Databricks or Anthropic, and DevOps/SRE exposure.
About Appen
Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.
$140,000 to $150,000 base salary plus 20% target bonus
The total compensation for this full-time role will include base salary and performance-based incentive. Actual compensation is determined based on role, level, experience and technical expertise. Appen offers a benefits package, including medical, dental, and vision coverage, retirement plan options and paid time off.
Compensation
Additional Information

申请条件

- 具备IT领导与运营经验,能够制定企业技术、支持、安全和自动化路线图
- 有领导IT支持、终端管理和重大事件响应的经验
- 能够构建和领导高效团队,涵盖IT支持、企业技术和自动化领域
- 具备招聘技术能力强、积极主动人才的能力,并创建主人翁意识和持续改进的文化
- 能够将AI视为改变IT运营方式的真正杠杆,而非简单工具
- 能够在战略与执行之间自如切换,必要时深入技术细节
- 具备企业技术环境的健康、配置和集成管理经验
- 具备Microsoft 365技术领导经验,包括管理、身份、访问和安全
- 熟悉Salesforce、Workday、Atlassian、AWS、Databricks和Anthropic等企业技术平台
- 具备确保平台良好集成、治理和适用性的能力
- 具备SOC 2和ISO 27001相关经验,包括控制、审计准备、证据和补救
- 能够维护IT环境中的安全、访问和终端控制
- 具备识别技术和运营风险的能力
- 能够为IT中的AI使用建立实用治理,平衡采用与安全、隐私和合规
- 具备与CPTO及高级领导层合作,对齐技术、风险、服务和投资优先事项的能力
- 具备高级领导经验,结合技术深度、运营判断力和人员领导力

雇主简介

Appen is a global leader in data annotation and collection for AI and machine learning, providing high-quality training data to improve AI models.

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