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Support Knowledge Management Architect

About the Team

The Support team is central to ensuring that our customers' experience with our products is nothing short of exceptional. We resolve complex issues, provide technical guidance, and support customers in maximizing value and adoption from deploying our products. We work closely with Sales, Technical Success, Product, Engineering and others to deliver the best possible experience to our customers at scale. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. 

We strive to reduce friction across the customer journey by harnessing the power of AI and LLMs. Our focus is on building knowledge-driven systems that reduce the need for direct customer support interactions, optimizing both self-service and automated solutions. By joining our team, you’ll collaborate with forward-thinking professionals committed to continually improve and evolve the customer experience.

About the Role

As a Support Knowledge Management Architect at OpenAI, your mission will be to proactively reduce the number of support cases by designing and implementing data-driven, self-fortifying information and knowledge systems. This role includes designing and implementing effective knowledge systems and taxonomies that enhance the organization and accessibility of information. You will lead efforts in building robust information architecture, ensuring content consistency and accuracy, and implementing tools and processes that improve how knowledge is stored, accessed, and maintained across the support team. By leveraging best practices in knowledge management (e.g. Knowledge-Centered Service principles), your role will enable a streamlined and efficient support experience for both customers and internal teams.

If you thrive in environments that value impact, collaboration, and fast-paced problem-solving, you might be the perfect fit for our team.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

  • Build a knowledge management program for our support team from the ground up, establishing best practices, frameworks, and processes that ensure a scalable, sustainable approach to managing knowledge.

  • Own and maintain our support knowledge base, which includes organizing all of our content and information management systems and establishing a governance framework to maintain high standards for content accuracy, consistency, and compliance.

  • Harness data from each step of the customer journey (Help Center, chatbot, support cases) to continuously improve the support and customer experience, while building out trust systems to validate information or knowledge updates – e.g. implementing a “reinforcement learning from human feedback” (RLHF) process.

  • Partner with engineering teams to build out the self-fortifying information and knowledge ecosystem, harnessing the power of OpenAI technology and future-proofing our systems for scale.

You might thrive in this role if you:

  • Have experience in content or knowledge management systems, and knowledge-centered support (KCS).

  • Have a proven track record of building a knowledge management program from scratch for a support team, including defining objectives, designing workflows, and delivering measurable results.

  • Possess an understanding of customer support workflows and are familiar with tools like Intercom, Zendesk, Salesforce, or similar platforms – but also bring a researcher’s mindset to analyzing and improving these systems.

  • Are skilled in data analysis and can derive insights from customer interactions to continuously improve information, knowledge, and systems.

  • Enjoy cross-functional collaboration and working closely with product, engineering, and operations teams to implement cutting-edge solutions.

  • Are a proactive problem-solver and project/program manager, capable of anticipating challenges and designing systems to prevent them.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status. 

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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What You Should Know About Support Knowledge Management Architect, OpenAI

At OpenAI, we are excited to welcome a talented Support Knowledge Management Architect to our vibrant team in San Francisco! In this role, you'll be at the forefront of enhancing our customer support systems by designing and implementing innovative knowledge management strategies. Your mission will encompass building a comprehensive knowledge management program from scratch, establishing best practices and frameworks that ensure our customer interactions are efficient and personable. Imagine having the opportunity to collaborate with a dynamic group of professionals who are just as passionate about optimizing customer experiences as you are! You will own and maintain our support knowledge base, ensuring accurate, consistent, and accessible information for our customers. Your expertise in data analysis will help us leverage insights from every customer interaction to continuously refine our approach. Plus, you’ll work closely with engineering teams to harness OpenAI technology, resulting in a cutting-edge knowledge ecosystem. If you thrive in a proactive, collaborative, and fast-paced environment, where your contributions can make a tangible impact on customer satisfaction, then this job might just be your perfect match. Join us and be part of a mission to provide exceptional support to all our customers, from startups to large enterprises. Let’s create a future where AI empowers and serves humanity, together!

Frequently Asked Questions (FAQs) for Support Knowledge Management Architect Role at OpenAI
What are the main responsibilities of a Support Knowledge Management Architect at OpenAI?

As a Support Knowledge Management Architect at OpenAI, your main responsibilities include building a comprehensive knowledge management program from the ground up, owning and maintaining the support knowledge base, and designing effective systems for organizing information. You will also leverage data from customer interactions to continuously improve the support experience while collaborating with engineering teams to develop innovative solutions.

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What qualifications are needed to be a Support Knowledge Management Architect at OpenAI?

To qualify for the Support Knowledge Management Architect role at OpenAI, candidates should have extensive experience in content or knowledge management systems as well as a proven ability to build knowledge management programs from scratch. Familiarity with customer support workflows and tools like Intercom or Zendesk is advantageous, and strong analytical skills to derive insights from data are also essential.

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How does OpenAI approach knowledge management in customer support?

OpenAI approaches knowledge management in customer support by prioritizing the creation of self-service and self-fortifying knowledge systems that reduce direct support interactions. The goal is to implement data-driven strategies and best practices like Knowledge-Centered Service (KCS) to ensure that information remains accurate and easily accessible for both customers and internal teams.

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What is the work environment like for a Support Knowledge Management Architect at OpenAI?

The work environment for a Support Knowledge Management Architect at OpenAI is vibrant and collaborative, combining in-office days with remote work flexibility. The company emphasizes a fast-paced atmosphere where team members actively engage in problem-solving and innovation, contributing to a culture that values impact and continuous improvement.

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What career growth opportunities exist for a Support Knowledge Management Architect at OpenAI?

Career growth opportunities for a Support Knowledge Management Architect at OpenAI are abundant, as the role allows for gaining valuable experience in knowledge management and customer support systems. You'll have the chance to lead projects, influence company-wide strategies, and collaborate with cross-functional teams, all of which can pave the way for advancing into higher-level technical or managerial roles in the organization.

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Common Interview Questions for Support Knowledge Management Architect
Can you describe your experience in building a knowledge management program?

When answering this question, focus on specific examples where you've successfully established frameworks and processes for knowledge management. Discuss the objectives you set, the challenges you faced, how you engaged cross-functional teams, and the measurable results that came from your efforts, showcasing your ability to create impactful systems.

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How do you ensure content accuracy and consistency in knowledge management?

To answer this, highlight your methods for maintaining high standards in knowledge documentation. Talk about governance frameworks you've implemented, regular reviews and updates of content, training for team members, and utilizing feedback from users to continually refine accuracy. Emphasize a proactive approach in monitoring content quality.

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What tools and platforms have you used for knowledge management?

When discussing the tools and platforms, provide a list, such as Intercom, Zendesk, and Salesforce. Explain any experiences you have had integrating these tools into knowledge management systems and how they contributed to optimizing customer support workflows. Your familiarity with various platforms shows adaptability and a broad understanding of the field.

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Can you give an example of a time you utilized data analysis to improve a support process?

Share a concrete example, detailing the data you analyzed, the insights you derived, and the changes you implemented based on those insights. Be sure to mention any positive impact on customer satisfaction or efficiency that resulted from your data-driven decisions, demonstrating your analytical skills and their practical application.

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How do you collaborate with other teams, such as product and engineering?

In responding, emphasize effective communication and collaboration strategies. Share experiences where teamwork with product and engineering teams led to successful outcomes. Discuss the importance of understanding each team's goals, aligning them with customer support needs, and creating a shared vision throughout the project lifecycle.

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What is your approach to keeping up with industry trends in knowledge management?

Describe your commitment to ongoing learning, mentioning resources you utilize such as industry publications, webinars, conferences, and professional networks. Share examples of how you've applied new trends or best practices in knowledge management to improve your work and the systems you've overseen.

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Describe how you handle conflicting feedback from stakeholders.

In your answer, illustrate a balanced approach where you actively listen to stakeholders' concerns, mediate discussions, and seek to understand differing perspectives. Explain how you consider the overall goals of the knowledge management system, aligning feedback with those objectives to find a practical resolution that satisfies all parties involved.

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How do you define success for a knowledge management program?

When defining success, talk about specific KPIs you would measure, such as user engagement with the knowledge base, reduction in support cases, or improvement in customer feedback scores. Emphasize the importance of aligning these metrics with broader organizational goals and adapting strategies feedback accordingly.

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What challenges do you foresee in this role and how would you address them?

Address potential challenges like resistance to change or issues with content accuracy. Discuss your proactive problem-solving mindset and strategies you would implement to tackle these challenges, such as training programs for staff, creating a culture of knowledge sharing, or conducting regular audits of information systems. Show your awareness of the complexities in knowledge management.

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Why is knowledge-centered support important for customer success?

In your answer, explain that knowledge-centered support empowers customers with self-service resources, enabling them to find solutions quickly, which enhances overall satisfaction. Discuss how this approach reduces the burden on support teams, allows for more proactive engagement, and ultimately fosters a more productive relationship between the company and its customers.

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OpenAI is a US based, private research laboratory that aims to develop and direct AI. It is one of the leading Artifical Intellgence organizations and has developed several large AI language models including ChatGPT.

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CULTURE VALUES
Inclusive & Diverse
Feedback Forward
Collaboration over Competition
Growth & Learning
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EMPLOYMENT TYPE
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DATE POSTED
December 3, 2024

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