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Manager 1 Jobs

10,000 active opportunities Β· Updated for October 2026

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Explore current manager 1 jobs. Use filters to narrow by work mode, employment type, experience and date posted.

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Okta
πŸ“ Bengaluruβ€’ Full-time
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is seeking a technical writer who is passionate about creating and delivering developer-centered technical content for developer.okta.com. We’re looking for a collaborative, creative team member who understands how to write clear, concise, and relevant content. Reporting to the Manager of Technical Documentation, you will work closely with a global network of engineers, product managers, and developer success professionals to understand real-world use cases for identity and access management. You will create practical technical content that guides Okta's broad technical community, including application developers and integration partners to adopt, integrate, and deploy our solutions successfully. If you have a passion for learning new technologies and want to help us drive the adoption and reach of our products and platform, this is the place for you! Location : Bengaluru, Karnataka, India Work Mode : Hybrid (2 days Onsite per week) Note : "This role requires in-person onboarding and travel to our Bengaluru, IN office during the first week of employment." What you’ll be doing Design, develop, edit, and deliver accurate and effective developer documentation for Okta products. Work closely with Engineering, Product Management, QA, Support, and members of the Information Development team to ensure quality and accuracy of content. Follow our documentation guidelines to produce high quality documentation. Prioritize projects when working

awsgitrest
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O
Okta
πŸ“ Bengaluruβ€’ Full-time
1mo ago

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is seeking a Staff Technical Writer to lead documentation for major product launches, spanning both developer.okta.com (APIs, SDKs, integration guides) and the help.okta.com (admin/product guides). Reporting to the Manager of Technical Documentation, you'll quickly ramp up on the team’s guidelines and processes and set expectations with cross-functional partners on documentation deliverables. Location: Bengaluru, Karnataka, India Work Mode: Hybrid (minimum of 2 days onsite/week) Note: Requires an in-person meeting with the Hiring Manager at our Bengaluru office following the final rounds. Onboarding requires in-person travelling to our Bengaluru office. What you'll be doing Work closely with Engineering, Product Management, QA, Support, and members of the Information Development team. Prioritize documentation work across concurrent initiatives to meet release dates. Create end-to-end feature documentation for multiple engineering teams. These include developer content (API references and SDK/CLI/Terraform guides) and admin/product content (feature and configuration guides). Develop comprehensive product expertise through hands-on engagement to ensure documentation accuracy and alignment with customer workflows. Become an expert in the Information Development team’s guidelines, processes, and tools. Identify scope for improvement and suggest enhancements, including the use of Generative AI tools to increase productivity. Analyze customer fe

javascriptjavaaws
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Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to lifeβ€”whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As an Enterprise Specialist on the Product Support team, you'll partner closely with the Enterprise Support Manager to deliver and continuously improve our Enterprise Support experience, supporting Figma's most strategic customers with high-quality, reliable, and efficient support across complex use cases. You'll play a key role in building trust with customers and collaborating with internal partners such as Sales, Product, and Engineering, bringing technical expertise in working with Enterprise-level customers to diagnose issues, determine solutions, and anticipate customer impact β€” serving as a customer advocate while working cross-functionally to deliver an exceptional experience. This is a full time hybrid role that can be held from our London hub. What you'll do at Figma: Develop expertise of Figma's products and the journey of our customers, from Product Designers to Account Administrators, to accurately diagnose sophisticated inquiries Interact with Figma customers daily via email, taking ownership over cases from start to resolution Partner closely with Sales teams to guide large scale organizations through complex workspace configurations, acting quickly to address technical issues and ensuring successful account setup Operate as the voice of the customer, capturing both product and process gaps in the experience and presenting data-backed cases for new feature development and process automation Act as designated point of contact for high-risk escalations and issues, proactively engagi

machine learningaigo
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Lyft
πŸ“ Bostonβ€’ Full-timeβ€’ $794.9K – $993.6K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions is the operator of six bikeshare systems across the country, including Bluebikes , the Boston area’s public bike share system. We’re looking for an Operations Specialist who wants to continue the micromobility revolution. As the Operations Specialist, you will support the General Manager of Bluebikes in developing and executing operational plans with a consistent eye towards service quality, operational excellence, continuous improvement, and the overall customer experience. You’ll roll up your sleeves for some hands-on problem solving, while also tackling big picture projects to improve the Bluebikes system. If you share our vision for active transportation that empowers local communities, reduces our environmental footprint, and brings people together, then we’d love to meet you! Responsibilities: Ensure smooth daily field operations: monitor performance, create/refine playbooks and SOPs, support workforce planning, oversee aspects of contractor relationship management, and perform occasional quality checks in field and depot Conduct deep-dive analysis to identify root causes of issues, using insights from field operations and data to collaborate with teams, implement solutions, and drive performance improvements Own end-to-end processes like invoicing and asset tracking to support the success of the business Audit performance of functional areas against SLAs, proactively identifying and escalating risks and inefficiencies Support the Bluebikes team in maintaining relationships with our city partners and addressing market-specific operational issues or special projects Communicate clearly and confidently with stakeholders, clients, and vendors, tackling challenging conversations when necessary Manage shifting priorities effectively, adapting to dynamic needs w

L
Lyft
πŸ“ Nashvilleβ€’ Full-timeβ€’ $602.2K – $752.8K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Flexdrive is a subsidiary of Lyft that works together with Lyft teams to realize our shared mission. At Flexdrive, we're at the forefront of revolutionizing transportation by building the operational backbone for autonomous vehicle (AV) fleets. As a leader in fleet management, we're leveraging our expertise to enter the AV space, forming strategic partnerships with cutting-edge technology providers. We're looking for a hands-on leader to help us pioneer this new chapter, starting with our first AV depot in Nashville, Tennessee. Reporting to the Operations Manager, AV Deployment , Flexdrive is seeking an experienced and safety-focused Operations Lead to manage morning to afternoon shift operations and ensure comprehensive safety compliance for our 24/7 AV depot in Nashville. This critical role bridges operational excellence with rigorous safety standards, serving as the primary on-shift leader responsible for team management, incident response, and maintaining compliance with all partner and regulatory requirements. You will be the guardian of operational safety and efficiency, ensuring every shift meets or exceeds our stringent safety and performance standards. This role requires a unique combination of operational leadership, safety expertise, and the ability to manage complex compliance requirements while maintaining high team performance. If you excel at leading teams in safety-critical environments and can balance operational demands with unwavering safety standards, we encourage you to apply. Work Schedule & Shift Availability Day Window Shift Pattern This role supports 24/7 AV depot operations and requires availability to work day shifts, with hours scheduled between 6:30 AM - 9:30 PM. Specific shift times and schedules will be determined based on operational needs and business requirements

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Lyft
πŸ“ Washingtonβ€’ Full-timeβ€’ $794.9K – $993.6K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft Urban Solutions is the operator of six bikeshare systems across the country, including Capital Bikeshare , the DMV’s public bike share system. We’re looking for an Operations Specialist who wants to continue the micromobility revolution. As the Operations Specialist, you will support the General Manager of Capital Bikeshare developing and executing operational plans with a consistent eye towards service quality, operational excellence, continuous improvement, and the overall customer experience. You’ll roll up your sleeves for some hands-on problem solving, while also tackling big picture projects to improve the Capital Bikeshare system. If you share our vision for active transportation that empowers local communities, reduces our environmental footprint, and brings people together, then we’d love to meet you! Responsibilities: Ensure smooth daily field operations: create/refine playbooks and SOPs, oversee aspects of contractor relationship management, and perform occasional quality checks in field and depot Own end-to-end processes like invoicing and asset tracking to support the success of the business Audit performance of functional areas against SLAs, proactively identifying and escalating risks and inefficiencies Support the Capital Bikeshare team in maintaining relationships with our city partners and addressing market-specific operational issues or special projects Conduct deep-dive analysis to identify root causes of issues, using insights from field operations and data to collaborate with teams, implement solutions, and drive performance improvements Communicate clearly and confidently with stakeholders, clients, and vendors, tackling challenging conversations when necessary Manage shifting priorities effectively, adapting to dynamic needs while maintaining a positive,

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Lyft
πŸ“ San Franciscoβ€’ Full-timeβ€’ $192K – $240K/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking a seasoned People Business Partner with deep expertise in M&A to join our People Team. Reporting to the Senior Director of People Business Partners, this high impact Director role will be the strategic center of gravity for all People M&A work. Role & Responsibilities: Lead the People M&A Function: Serve as the senior People partner and decision-maker across the M&A lifecycle. Lead through influence across a matrixed environment, coordinating across a shared Project Manager, People Business Partners, and COE partners. Partner effectively with a dedicated Project Manager to delegate execution and workstream coordination, while maintaining clear ownership of People strategy, talent decisions, and integration outcomes. Define and drive People integration strategy as the dedicated advisor to the Integration Management Office (IMO). Flex into other high-priority areas of PBP or People Team initiatives as needed. Drive Due Diligence: Lead People due diligence efforts, assessing organizational culture, headcount structures, compensation and benefits gaps, employment contracts, and law exposure across geographies. Conduct or oversee talent assessment processes, evaluating leadership bench strength, key person dependencies, and retention risk. Partner with Corporate Development, Legal, and Finance to ascertain People risks, synthesize findings into clear deal recommendations, and inform decisions. Design & Execute Workforce Integration: Advise senior leadership on org design decisions arising from acquisitions, including role mapping, spans and layers, redundancy management, and leadership selection - connecting org decisions to Lyft's operating model and culture. Partner with People Business Partner and Peop

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Lyft
πŸ“ San Franciscoβ€’ Full-timeβ€’ $1.2M – $1.5M/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio β€” a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams β€” someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts β€” pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate β€” or an AI agent β€” can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer β€” prompts, context, and guardrails β€” that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

pythonsqlai
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Lyft
πŸ“ New Yorkβ€’ Full-timeβ€’ $1.2M – $1.5M/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Data is at the heart of Lyft Business's products and decision-making. We're looking to hire a Data Analyst to build the tools and analytics that drive revenue for the sales organization behind Lyft's B2B portfolio β€” a multi-billion-dollar book of business spanning healthcare, business travel, corporate commute, automotive, and transit. This team has real say in what gets built. You will be the analytical partner to our Sales and account teams β€” someone who can translate findings into a clear narrative for both technical and non-technical audiences. Responsibilities: Build the tools and analytics sales leaders use to grow their accounts β€” pacing views, account-health signals, territory and segment views that change what a rep or manager does next Field requests from Sales, Product, Finance, Legal, leadership, and external stakeholders, and decide what's worth building, what's worth a sharp piece of analysis, and what's out of scope Build and maintain production data pipelines, and automate recurring workflows, with documentation and validation clear enough that a teammate β€” or an AI agent β€” can use them without asking you first Define what the team's core metrics mean and where they live, so every dashboard, report, and tool returns the same answer to the same question Contribute to the internal tools and semantic layer β€” prompts, context, and guardrails β€” that let stakeholders query B2B data in natural language and trust what comes back Translate insights into a cohesive narrative and present technical findings to senior leadership and non-technical audiences Experience: Degree (or related work experience) with a focus in analytics, statistics, economics, computer science, or other quantitative fields 3+ years of experience in a data analytics or business intelligence role, ideally supporting a sales

pythonsqlai
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Lyft
πŸ“ Nashvilleβ€’ Full-timeβ€’ $865.9K – $1.1M/yr
1mo ago

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is looking for a strategic partner to the business to support our Global Contingent Workforce Program. The Program Lead will balance strategic priorities while helping to manage day-to-day administrative tasks, working cross functionally with teams like Legal, IT, Procurement and our hiring managers. You’ll report to the contingent workforce program manager and help the team prepare to grow their global footprint while automating and creating education around the CW programs ability to support. Responsibilities: Work cross-functionally to support day-to-day operations of the contingent workforce program Help manage the MSP and VMS teams including process, supplier management and automation Identify areas of risk proactively and partner with cross-functional teams to drive solutions to mitigate such risks Identify operational opportunities and help improve existing or develop new processes Consult with business leaders to better understand their workforce needs and advise on the appropriate strategy Establish and develop relationships with all key stakeholders: suppliers, internal customers, internal People team, Procurement, Legal, IT, and other business stakeholders to drive and understand global operational needs Ensure compliance among contingent workforce and suppliers Experience: 3+ years work experience in project management, managing complex and business critical projects Comprehensive understanding of contingent workforce guidelines and best practices, as well as contingent workforce risk and compliance strategies Experience documenting processes and creating step-by-step guides or SOPs, with the ability to translate complex workflows into clear, repeatable documentation Experience working in any Vendor Management System (VMS) Self-directed, detailed oriente

A
Airbnb
πŸ“ Singaporeβ€’ Full-time
1mo ago

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. To applicants: This is a Senior Level Individual Contributor position, not a people manager, but will need to manage the external agencies across APAC countries. The Community You Will Join: The Senior Brand Strategy Lead, APAC will report to the Senior Brand Strategy Lead, International , and will be the strategic backbone for how Airbnb's brand shows up across one of the world's most culturally diverse and commercially important regions. Spanning India, Australia, Korea, China, and Japan, this role sits at the intersection of global brand ambition and deep local cultural intelligence - translating Airbnb's global brand platform strategy into market-resonant narratives that feel native, not imported. They will work in close partnership with Senior Marketing Leads and APAC Marketing Director across each APAC market, the Global Brand Strategy team, Consumer Insights, Creative, and Media to ensure every brief is genuinely rooted in local truth. The Difference You Will Make: The ideal candidate has lived and worked across multiple APAC markets - not just studied them. They understand that what moves a consumer in Tokyo is structurally different from what resonates in Mumbai or Seoul, and they bring that fluency to every brief they touch. They are culturally rigorous but commercially minded, equally at home in a strategic framework and a creative review. They are a trusted partner to country marketing leads, someone who makes the work better - and makes the process feel easier. They are not a regional proxy for global thinking. They are an advocate for what APAC needs, and a bridge that makes gl

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible

machine learningairust
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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Your Location: This position is CHINA BASED . The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible

machine learningairust
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Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. We are hiring for Machine Learning Engineering as TL level. Your Location: This position is CHINA BASED. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. Your recruiter will inform you what cities you are able to work from depending on your personal legal working identity and Airbnb internal policies. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us. The Difference You Will Make: We believe our current customer experiences in these domains are

machine learningairust
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D
Dropbox
πŸ“ Us Select Locationsβ€’ Full-timeβ€’ Remoteβ€’ From $208.8K/yr
1mo ago

Role Description Dropbox is looking for a strategic leader to build and scale the next generation of Sales Enablement. As Head of Global Sales Enablement & AI Adoption , you will define how our sales organization learns, executes, and performs at scale. You’ll lead the strategy, operating model, and execution for global enablement while leading how sellers and managers adopt AI capabilities to transform the way they work. This role sits at the intersection of Revenue Operations, Sales, Product, Marketing, and AI adoption. You’ll partner closely with executive leadership to identify the highest-impact opportunities to improve seller productivity, accelerate strategic priorities , strengthen manager effectiveness, and create consistent execution across our global go-to-market organization. Success in this role requires balancing strategic thinking with operational excellence. You’ll build scalable enablement programs, modern learning experiences, adoption of AI-enabled workflows and tooling , and measurable operating rhythms that improve business performanceβ€”not simply deliver training. If you’re excited about building organizations, influencing executive strategy, and using AI to redefine how revenue teams work, we’d love to meet you. Responsibilities Define and execute the global Sales Enablement strategy and multi-year roadmap aligned to Dropbox’s go-to-market priorities. Build scalable enablement programs that improve seller productivity, manager effectiveness, onboarding, launch readiness, and revenue performance. Partner with Sales, Revenue Operations, Product, Product Marketing, IT, and executive leadership to drive consistent execution across global teams. Partner with GTM Technology and enterprise AI teams to identify, validate, and drive adoption of AI-enabled workflows that improve seller productivity , while maintaining responsible AI governance and usage. Establish measurement frameworks that connect enablement investments to busi

REMOTEaigo
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