채용
Job Requisition ID
26WD97212
Please submit your CV in EnglishPosition Overview
The Senior AI & Automation Specialist will bring a strong background in artificial intelligence, knowledge systems, automation, and workflow design. This role will focus on applying AI to improve how Customer Success teams access the guidance, policy, process, and operational information they need, while also driving more scalable content, workflows, and team solutions through practical automation.
This role will help evolve how support is delivered across Customer Success by improving knowledge capture, structure, accessibility, and reuse, and by identifying opportunities where AI-enabled self-service can reduce friction and improve the day-to-day experience of field teams. In parallel, the role will help strengthen internal team efficiency by building repeatable workflows, templates, and automation solutions that improve consistency, quality, and scale.
The role will partner closely with Customer Success Readiness, policy and process owners, operations, content teams, and cross-functional stakeholders to design practical, responsible, and scalable AI-enabled solutions that improve knowledge access, team productivity, and overall support effectiveness.
Key Responsibilities
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Identify and implement AI, automation, and knowledge design opportunities that improve how Customer Success teams access policy, process, and operational guidance
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Help evolve more scalable support experiences that strengthen self-service and reduce reliance on repetitive human-to-human support
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Design and maintain reusable workflows, templates, and tools to support readiness, content development, knowledge sharing, and operational efficiency
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Apply generative AI capabilities to improve knowledge access, content scalability, workflow support, and team productivity
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Partner with policy, process, and content owners to improve how knowledge is captured, structured, maintained, and governed for AI-enabled use cases
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Support integration with platforms and tools such as Airtable and other automation or knowledge management solutions
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Drive AI evangelism and adoption through practical use cases, stakeholder partnership, and clear guidance for responsible AI usage
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Define and track success measures, including adoption, productivity, self-service effectiveness, and reduction in repetitive support requests
Minimum Qualifications
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Bachelor’s degree in Education, Knowledge Management, HCI, Computer Science, Data Science, AI/ML, Business Systems, or a related field, or equivalent practical experience
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3+ years of experience in applied AI, automation, knowledge systems, workflow design, or related roles
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Experience applying generative AI to knowledge access, content delivery, workflow support, business productivity, or customer-facing use cases
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Experience designing or improving knowledge management, content structures, taxonomies, or information architecture
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Experience with automation platforms and tools such as Airtable, Zapier, Make, or similar solutions
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Familiarity with APIs, data structures, and workflow integration concepts
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Strong analytical, problem-solving, communication, and collaboration skills
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Ability to translate ambiguous business needs into practical, scalable solutions
Preferred Qualifications
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Experience supporting Customer Success, customer-facing, support, enablement, readiness, or operations teams
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Familiarity with Customer Success workflows, support models, and field team needs is a strong plus
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Experience improving self-service, knowledge access, or support experiences through AI, automation, or digital solutions
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Experience partnering with policy, process, or operations teams to improve knowledge capture, usability, and governance
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Familiarity with Airtable scripting, JavaScript, or lightweight technical configuration
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Experience driving adoption of new tools, processes, or ways of working across teams
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Understanding of responsible AI practices, including governance, human-in-the-loop review, and quality assurance
Learn More
About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
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Autodesk 소개

Autodesk
PublicAutodesk, Inc. is an American multinational software corporation that provides software products and services for the architecture, engineering, construction, manufacturing, media, education, and entertainment industries.
10,001+
직원 수
San Francisco
본사 위치
$50B
기업 가치
리뷰
3.0
3개 리뷰
워라밸
3.0
보상
2.5
문화
2.8
커리어
3.2
경영진
2.5
35%
친구에게 추천
장점
Strong brand recognition in industry
Career advancement opportunities
Promotion to leadership roles
단점
Lower compensation packages
Poor location/undesirable area
Exclusion from decision-making processes
연봉 정보
929개 데이터
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Machine Learning Engineer
2개 리포트
$160,615
총 연봉
기본급
$123,550
주식
-
보너스
-
$130,000
$191,070
면접 경험
2개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
50%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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