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ai product manager

Microsoft

<div>
 Microsoft 365 Copilot harnesses the power of generative AI through foundational large language models to usher in a new era of AI-first productivity for hundreds of millions of enterprise users. As business workflows don't typically run exclusively on Microsoft 365 applications and data formats, Copilot is built as a platform right from the very beginning. Using extensibility, customers augment M365 Copilot with AI agents &ndash; which leverage custom skills, organizational-specific knowledge and natural language instructions to enable truly spectacular AI scenarios and power connected workflows.
 
 
 M365 Copilot Platform Ecosystem team is designing and building innovative AI agents on the M365 Copilot extensibility platform, including agent templates for makers as well as more bespoke solutions with leading customers. As a
 
 Product Manager II
 
 in the team, you will drive the next wave of agents built using the latest generative AI technology on M365 Copilot&rsquo;s extensibility platform. Working across our engineering teams and with our most strategic customers and partners, you will deliver high-quality, sticky and transformative Copilot agents for use by millions of end-users. This engineering PM role is an excellent opportunity to don both scenario and experience-focused product PM as well as an external-facing solutions PM (Ecosystem PM) hats &ndash; at the same time!
 
 
 We are looking for self-motivated, entrepreneurial, hands-on technical and outcome-drive Product Manager candidates who can operate in a fast-paced environment &ndash; predicated by rapid change and opportunities birthed out of ambiguity. You will frequently influence internal and customer stakeholders without authority, perform rapid exploration, bring your high sense of ownership and bias for execution to own and drive the vision, strategy and product roadmap for multiple customer and partner-built agents with a responsibility for partner and customer impact, developer experience, adoption growth strategy and business impact/ROI to support the next wave of growth for Copilot agents. You will have a direct role in pushing the latest AI frontiers, including autonomous agents, agentic AI systems, deep research and reasoning, multi-agent frameworks, complex data reasoning, model fine-tuning and agentic UX.
 
 
 The ideal candidate for this role is an experienced, hands-on "builder" who advocates for generative AI-led transformation. They should be an "agent boss," meaning they regularly utilize generative AI and agents in their daily activities. The candidate should possess a "learn-it-all" mindset rather than a "know-it-all" attitude, and be comfortable navigating the uncertainties associated with transformative, time-sensitive, ROI-driven engagements with customers aiming to become Frontier Firms. This individual must adopt both business- and user-centric approaches to setting objectives, conducting executive-level discussions, aligning stakeholders, managing escalations, planning product roadmaps, and scheduling engagement timelines. They will lead the technical solution development, collaborating with internal M365 Copilot platform engineering teams as well as customers and developers working on our platform. Hands on experience with tools, frameworks and stacks such as Replit, Cursor, LangChain, n8n, LllamaIndex, AutoGen, CrewAI, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, GitHub Spark, Bolt, Lovable, Claude etc. is a must. This must be demonstrated using real examples of rapid solution prototyping &ndash; since this will be a key part of day-to-day deliverables in the role.
 
 
 We operate in a fast-paced environment with rapid exploration, iteration, and execution, as we develop the M365 Copilot extensibility platform. Your peers will be among the top professionals &amp; the role involves interacting with partners and customers, and occasional travel within and outside the base location is expected.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Work with product managers, developers, UX designers from our most strategic customers across C-suite, architects and developers.
 </li>
 <li>
 Explore the customer problem space and key requirements, pitch the potential of generative AI agents to transform business processes, lead envisioning and UX/technical design through with developers to build, ship and adopt Copilot agents into production. Build POC prototypes to bring customers&rsquo; vision to life.
 </li>
 <li>
 Serve as a key subject matter expert on M365 Copilot/Azure AI Foundry/Microsoft AI platform and agent capabilities, architecture; collaborate closely with peers, external partners and customers to train, advise and guide on technical capabilities, solution design and AI platform strategy.
 </li>
 <li>
 Drive key product insights and developer ecosystem signals coming straight from the market to shape the future of the M365 Copilot, help drive backlog prioritization, envisioning and spec&rsquo;ing of new, innovative extensibility features and our AI extensibility stack inside Microsoft 365 Copilot app, Teams, Outlook, Word, PowerPoint, Excel, Windows and other host products.
 </li>
 <li>
 Get exposure to 100s of diverse scenarios working alongside customers &amp; partners using M365 Copilot (Microsoft's biggest bet since 'a PC on every desk') - basically never get bored since no two solutions are alike!
 </li>
 <li>
 Work directly with your feature crew colleagues across M365 Copilot platform engineering to design and deliver innovative extensibility features, including technical envisioning for how Copilot agents will work and interact with other services and applications.
 </li>
 <li>
 Determine adoption strategy for the Copilot agents shipped, unblock adoption, deployment and engagement to realize end-user and business value or ROI among target strategic customers.
 </li>
 <li>
 Develop and drive strategic initiatives to enable &ldquo;hockey stick&rdquo; ecosystem growth based on emerging AI agent capabilities, industry trends and strategic partnerships.
 </li>
 <li>
 Research, contextualize and evangelize frontier solutions, technology trends and opportunities to drive longer-term investments and product shifts.
 </li>
 <li>
 Cover multiple regions in the Eastern Hemisphere and work with peer product teams in the Americas and Europe (occasional flexibility around work schedules is expected).
 </li>
 <li>
 Embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's Degree AND 2+ years experience in product/service/project/program management or software development
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Previous experience with proven success in working on customer-facing technical engagement.
 </li>
 <li>
 Previous experience working in the generative AI domain, strong familiarity with AI fundamentals, LLMs, RAG, GPTs, AI agents, MCP, A2A, AI cloud services architecture etc.
 </li>
 <li>
 Hands on experience with tools, frameworks and stacks such as Replit, Cursor, LangChain, n8n, LllamaIndex, AutoGen, CrewAI, OpenAI APIs, Auto-GPT, Hugging Face Transformers, GitHub Copilot, GitHub Spark, Bolt, Lovable, Claude etc. is a must.
 </li>
 <li>
 Strong executive presence and ability to think analytically and creatively on your feet.
 </li>
 <li>
 The ability to wear many hats and speak many language &ndash; from business to product to design to technical &ndash; learn quickly and change direction when needed.
 </li>
 <li>
 Experience presenting to senior executives, technical product/IT/BDM staff and end users; able to pivot quickly and adapt messaging to suit audience technical levels and ROI/value requirements.
 </li>
 <li>
 Demonstrated ability of very strong product thinking, technical solutioning, continuous tech upskilling and growth mindset.
 </li>
 <li>
 The ability to think creatively and critically about product features, user journeys and scenarios in the enterprise workflows space.
 </li>
 <li>
 Self-organized, strong project management, growth hacking, leadership and cross-group collaboration skills.
 </li>
 <li>
 Innate curiosity and ability to self-start in an ambiguous, highly autonomous and rapidly changing, new domain with evolving product, technology and customer maturity.
 </li>
 <li>
 Excellent written and verbal communication/presentation skills through all levels of the organization, technical and non-technical.
 </li>
 <li>
 Good problem-solving skills and ability to think strategically on the feet.
 </li>
 <li>
 Ability to hold technical discussions, go deep in technical areas, when required especially in domains of generative AI, LLM technology.
 </li>
 <li>
 Proven ability to build data-driven product experiences, define metrics and use analytics to derive insights to arrive at product &amp; growth decisions.
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree AND 5+ years experience in product/service/project/program management or software development
 </li>
 <ul>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Recent experience building and prototyping generative AI-based solutions (RAG, GPT, LLM) and general awareness of the rapidly-evolving AI, especially generative AI landscape including MCP, A2A protocols etc.
 </li>
 <li>
 Hands-on expertise with AI agents as a &ldquo;builder&rdquo; using low-code/no-code or pro-code tools or technical stacks, agentic frameworks.
 </li>
 <li>
 Hands-on experience or solid familiarity with the Microsoft technology stack is preferred (M365 Copilot extensibility, Copilot Studio, AI agents, Azure OpenAI, Azure AI Foundry, Graph Connectors, Microsoft Teams extensibility platform, etc.).
 
 </li>
 </ul>
 #Copilot #M365Copilot #CopilotExtensibility #CopilotPlatform #Agents #CopilotAgents #DPG #CAPE
 
 
 Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
</div>

Product Manager II

Cognite

<div>
 
 
 Principal Product Manager, AI &amp; Industrial Data Contextualization
 
 
 
 
 
 
 Cognite is building a new team in Bengaluru, India, focused on developing cutting-edge tools for
 
 contextualizing industrial data
 
 within our core platform,
 
 Cognite Data Fusion (CDF)
 
 . We are seeking a
 
 Principal Product Manager
 
 to lead this strategic initiative, driving the vision, strategy, and execution for a product area at the intersection of industrial operations, data, and advanced AI.
 
 
 Cognite Data Fusion is a foundational Industrial DataOps platform that runs on all major hyperscalers&mdash;AWS, Azure, and Google Cloud&mdash;and is deployed globally to many regions across the world. Our platform is used by a diverse range of customers spanning multiple industries, from those engaged in
 
 batch production
 
 and
 
 continuous production
 
 to companies in
 
 oil &amp; gas
 
 and
 
 discrete manufacturing
 
 . Your work on contextualization will be crucial for empowering these customers, regardless of their industrial process.
 
 
 
 
 
 
 Role Overview
 
 
 
 As a Principal Product Manager, you'll be responsible for defining and delivering the next generation of our contextualization tools. This isn't about traditional data integration; it's about harnessing the power of AI to transform how industrial data, particularly engineering diagrams and unstructured documents, is understood and connected. You'll lead the charge in shifting from deterministic, rule-based systems to intelligent, self-correcting, and probabilistic AI-driven solutions that drastically reduce manual effort and improve data quality for our customers.
 
 
 You'll act as the key link between our engineering team in Bengaluru, our internal global stakeholders and our global customer base. You'll work closely with customers to understand their challenges, define product requirements, and guide the team in building scalable, user-centric solutions. This role requires a blend of deep technical expertise in machine learning and a strong product management mindset focused on user outcomes and market needs.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Define Product Strategy:
 
 Develop and own the product vision and strategy for AI-driven contextualization, aligning it with Cognite's overall mission and market opportunities.
 </li>
 <li>
 
 Lead with Empathy:
 
 Engage with customers and internal stakeholders to deeply understand their problems, pain points, and workflows related to digitizing and connecting data.
 </li>
 <li>
 
 Translate Vision to Execution:
 
 Author detailed product requirements and user stories for the engineering team, ensuring a clear and shared understanding of goals. You'll be instrumental in prioritizing the product backlog to maximize impact.
 </li>
 <li>
 
 Navigate the AI Landscape:
 
 Drive the adoption of advanced machine learning techniques, including computer vision models (e.g.,
 
 Faster R-CNN, YOLO, Siamese Networks
 
 ), and other AI/ML approaches for symbol, text, and line detection in engineering diagrams.
 </li>
 <li>
 
 Champion a Shift in Mindset:
 
 Lead the transition from manual, deterministic methods to intelligent, probabilistic, and agentic workflows that can self-correct and optimize based on user-defined expectations rather than rigid, manual configurations.
 </li>
 <li>
 
 Manage Cross-functional Collaboration:
 
 Work closely with engineering, UX/UI, data science, and customer-facing teams to deliver a cohesive product experience. You'll also need to navigate the complexities of a multi-cloud environment, considering platform services from AWS, Azure, and GCP.
 </li>
 <li>
 
 Build the Team:
 
 Play a key role in hiring and mentoring product managers and other talent as the team grows in Bengaluru.
 </li>
 </ul>
 <li>
 </li>
 
 
 Required Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 
 Priority 1: AI-Driven Product Development &amp; Market Launch:
 
 Proven experience in a product leadership role for AI/ML-driven products. You must have a demonstrated track record of launching successful AI products to market at scale. You should have a solid understanding of machine learning concepts, including model training, data sets, feature extraction, and different model architectures like convolutional neural networks.
 </li>
 <li>
 
 Priority 2: Industrial Data Expertise:
 
 Experience in the industrial sector is highly desirable. You should have a strong understanding of industrial data domains, including
 
 engineering data, sensor data, and data from ERP and MES systems
 
 . Familiarity with relevant industry standards is a significant advantage, including but not limited to:
 </li>
 <li>
 
 Engineering and Asset Data:
 
 DEXPI, CFIHOS, ISO 14224, ISO 15926
 </li>
 <li>
 
 Enterprise and Business Data:
 
 ISA-95, B2MML
 </li>
 <li>
 
 Product and Classification Data:
 
 ECLASS, UNSPSC, GPC
 </li>
 <li>
 
 Data-Centric AI Leadership:
 
 You have a proven track record of managing and leading teams that prioritize data quality and are structured for success with probabilistic models. This includes experience with:
 </li>
 <li>
 
 Data Collection &amp; Labeling:
 
 Successfully managing the collection, curation, and labeling of huge volumes of complex data.
 </li>
 <li>
 
 Data-First Methodology:
 
 Implementing a test-driven AI/ML methodology using
 
 evaluation and benchmark datasets
 
 to drive continuous model improvement and measure performance.
 </li>
 <li>
 
 AI-Driven Configuration:
 
 A strong understanding of how to use AI to optimize product configurations based on user-described success metrics, moving beyond manual parameter tuning.
 </li>
 <li>
 
 Hands-on Experience with AI Projects:
 
 Direct experience leading projects involving computer vision and object detection, ideally on complex industrial imagery or technical diagrams. Knowledge of techniques for synthetic data generation and fine-tuning models on limited, proprietary data is a significant advantage.
 </li>
 <li>
 
 Product Management Acumen:
 
 A minimum of 8 years of product management experience, with a track record of successfully bringing complex technical products to market.
 </li>
 <li>
 
 Cloud Computing and Multi-cloud Solutions:
 
 Experience with cloud platforms such as AWS, Azure, and/or Google Cloud. A strong understanding of how to build and manage products that can be deployed across different cloud providers is essential. Relevant services include:
 </li>
 <li>
 
 AWS:
 
 SageMaker, Lambda, Bedrock Data Automation, Textract
 </li>
 <li>
 
 Azure:
 
 Azure Machine Learning, Azure Functions, Azure AI Document Intelligence
 </li>
 <li>
 
 GCP:
 
 Google Cloud Vertex AI, Google Cloud Functions, Google Cloud Document AI
 </li>
 <li>
 
 Technical Communication:
 
 The ability to communicate complex technical concepts to both technical and non-technical audiences, translating AI capabilities into tangible business value.
 </li>
 </ul>
 
 
 
 
 
 Strategic Thinking:
 
 The ability to think beyond current solutions and envision a future where AI radically simplifies industrial data management. You should be able to define what "good" is and establish metrics to measure success.
 
</div>

Principal Product Manager

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 
 
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 
 
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 
 
 We&rsquo;re on a mission to build the most intelligent and scalable product knowledge system in eCommerce, powered by AI, structured data, and next-gen taxonomy/ontology strategies.
 
 
 We&rsquo;re looking for a Product Manager who thrives at the intersection of structured data, AI/ML, and search optimization&mdash;someone who can define the strategy, drive execution, and collaborate deeply with AI, data, and engineering teams to improve how millions of customers discover products.
 
 
 In this high-agency, startup-like role, you&rsquo;ll own and scale the AI-driven product knowledge ecosystem, ensuring our taxonomy, ontology, and catalog data power better search, recommendations, and personalization experiences!
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Define &amp; Implement Product Knowledge Strategy &ndash; Own the roadmap for taxonomy, ontology, structured data, and knowledge graph initiatives, aligning with AI/ML and Product teams.
 </li>
 <li>
 Drive AI-Powered Taxonomy &amp; Ontology Development &ndash; Partner with data scientists, engineers, and analysts to build, test, and scale ML-driven classification, entity resolution, and knowledge graph models.
 </li>
 <li>
 Improve Search &amp; Product Discovery &ndash; Ensure our structured product data directly improves search relevance, filtering, and recommendation algorithms.
 </li>
 <li>
 Develop &amp; Enforce Data Standards &ndash; Lead governance for taxonomy updates, structured metadata, and attribute standardization, ensuring a scalable and accurate catalog.
 </li>
 <li>
 Enable LLMs for Product Knowledge &ndash; Work with AI teams to develop LLM-powered solutions for automated tagging, classification, and enrichment.
 </li>
 <li>
 Measure &amp; Iterate &ndash; Define metrics and evaluation frameworks to supervise the impact of structured data improvements on search, recommendations, and personalization.
 </li>
 <li>
 Deeply Integrate with AI/ML Teams &ndash; Work hand-in-hand with AI, data science, and engineering to build scalable, automated solutions for product classification and catalog intelligence.
 
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 Product Leadership in Data/AI &ndash; 2+ years in product management, ideally in eCommerce, search, recommendations, or AI-driven product knowledge systems.
 </li>
 <li>
 AI &amp; Data Proficiency &ndash; Experience working with ML models, knowledge graphs, LLMs, and structured data strategies to drive business outcomes.
 </li>
 <li>
 Taxonomy &amp; Ontology Expertise &ndash; Proven understanding of product classification, metadata structuring, and entity resolution techniques.
 </li>
 <li>
 Search &amp; Discovery Focus &ndash; Experience optimizing product search, recommendations, and structured navigation.
 </li>
 <li>
 Technical Comfort &ndash; Familiarity with SQL, APIs, data pipelines, and AI/ML workflows.
 </li>
 <li>
 High-Agency &ndash; Startup-like attitude with the ability to drive cross-functional alignment, influence without authority, and deliver results fast.
 </li>
 <li>
 Strong Analytical &amp; Communication Skills &ndash; Ability to translate data-driven insights into clear product strategies.
 
 
 
 </li>
 </ul>
 Why Join Us?
 
 
 <ul>
 <li>
 Craft the AI-powered future of eCommerce product discovery.
 </li>
 <li>
 Be at the forefront of AI-driven taxonomy, ontology, and knowledge graph development.
 </li>
 <li>
 Work in a high-agency, startup-like culture where your decisions directly impact millions of users.
 </li>
 <li>
 Collaborate with ground breaking AI/ML teams to redefine structured data for eCommerce.
 </li>
 <li>
 Drive innovations that improve search, personalization, selling and product discovery.
 
 
 
 </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 
 
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 
 
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>

Product Manager-Product Knowledge

Healthify

<div>
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Identify and address user pain-points
 
 : Leverage data-driven insights and emerging technologies, including AI, to identify consumer challenges and drive product innovation. Focus on delivering impactful solutions that enhance user experience in B2C or consumer-facing products.
 </li>
 <li>
 
 Initiate and prioritize technology-driven projects
 
 : Lead the integration of AI and other technologies to enhance user experience and product functionality, while defining project scope, timelines, and success metrics. Ensure the alignment of projects with consumer tech trends and user demands.
 </li>
 <li>
 
 Evaluate and optimize systems
 
 : Collaborate with engineering teams to assess existing systems and design technology-driven solutions, including AI-powered features, to improve product performance. Ensure seamless integration in consumer tech environments.
 </li>
 <li>
 
 Drive product lifecycle management
 
 : Own the product from conception through development, testing, and adoption, ensuring smooth integration of new features. Prioritize user experience, focusing on the unique challenges of B2C tech products and user adoption.
 </li>
 <li>
 
 Develop product strategy and roadmap
 
 : Shape the product strategy and roadmap, incorporating AI and other technologies to align with business goals, maximize user satisfaction, and stay competitive in the B2C space.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 1-3 years of experience in product management, with exposure to AI/ML or technology-driven products that have demonstrated impact on user metrics, especially in B2C or consumer tech.
 </li>
 <li>
 
 Analytical and data-driven mindset
 
 : Strong ability to use data and technology tools, including AI, to analyze user behavior and optimize product performance. Experience with consumer tech data analytics is a plus.
 </li>
 <li>
 
 Customer-centric approach
 
 : Focused on understanding customer needs and continuously improving the user experience with the right mix of technology. Passion for building products that resonate with end consumers.
 </li>
 <li>
 
 Technology knowledge &amp; skills
 
 : Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and machine learning concepts is a plus, but not a strict requirement. Exposure to consumer tech platforms and tools is beneficial.
 </li>
 <li>
 
 Strong communication skills
 
 : Ability to convey technical concepts clearly to both technical and non-technical stakeholders, including communicating with marketing and business teams in the B2C space.
 </li>
 <li>
 
 Entrepreneurial experience
 
 in startups or fast-paced environments, particularly with AI or technology products, is a plus.
 </li>
 <li>
 
 Top-tier Engineering degree
 
 (from institutions like IITs, BITS Pilani, or equivalent) in Computer Science, Engineering, or related fields.
 </li>
 <li>
 
 MBA
 
 from a top-tier business school (e.g., IIMs, ISB, or equivalent) is highly preferred.
 </li>
 </ul>
 
 
 
 
 
 What You Can Look Forward To:
 
 
 <ul>
 <li>
 
 Impactful work
 
 solving real-world problems using innovative technologies, including AI, in the consumer tech space.
 </li>
 <li>
 
 Collaboration with a talented, mission-driven team
 
 passionate about technology&rsquo;s potential to transform B2C products and user experiences.
 </li>
 <li>
 
 Opportunities for growth
 
 : Learn and grow in a dynamic environment that combines technology, product management, and business strategy within the fast-evolving B2C sector.
 </li>
 </ul>
 
 
</div>

Product Manager

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 This role is based in Bangalore.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 LinkedIn was built to help professionals achieve more in their careers, and every day millions of people use our products to make connections, discover opportunities, and gain insights. Our global reach means we get to make a direct impact on the world&rsquo;s workforce in ways no other company can. We&rsquo;re much more than a digital resume &ndash; we transform lives through innovative products and technology. At LinkedIn, we strive to help our employees find passion and purpose. Join us in changing the way the world works.
 
 
 About the Role:
 
 
 LinkedIn Sales Solutions (LSS) empowers sales organizations around the world with the insights and intelligence they need to build trusted relationships and drive revenue. We are looking for an entrepreneurial Product Manager to drive the success of our AI and Agentic investments. The role will help define LinkedIn&rsquo;s strategy for agentic investments to drive outcomes for our customers, working with cross-functional peers across the business unit, as well as LinkedIn&rsquo;s many ecosystem partners. Your passion for building delightful and impactful products will serve you well as you lead development of cutting edge technologies and market differentiating customer features that will drive the next step of our evolution as a B2B marketplace.
 
 
 In this role you would lead a team of high performing PMs and collaborate closely with engineering, data sciences, and other cross-functional teams to build a suite of products and features using leading edge technology, that help our customers succeed in building trusted relationships to drive revenue.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Work with Product, Engineering, Business Development, AI and Marketing to create and articulate a compelling vision, strategy, and roadmap for your charter. Get alignment from stakeholder teams and executives to translate strategy into actionable product milestones that deliver incremental value to our customers.
 </li>
 <li>
 Synthesize market needs from interactions with customers, partners, sales and marketing teams into product requirements and roadmap
 </li>
 <li>
 Define product metrics, objectives, and key results to help guide, prioritize, and measure the success of the strategy, product initiatives, and releases for the LSS business.
 </li>
 <li>
 Work cross-functionally with sales, engineering, business development, marketing, operational and customer facing teams to build, release, promote, and successfully grow features from launch to maturity.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS degree in a technology-related field or equivalent experience.
 </li>
 <li>
 9+ years of experience in a product management or equivalent role
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 MS or higher degree in a technology-related field
 </li>
 <li>
 Excellent written and verbal communication skills with an ability to simplify complex topics, create clarity and motivate audiences (from a junior IC to an executive)
 </li>
 <li>
 Demonstrated track record of bringing high clarity of thought in setting product strategies and driving teams to execute
 </li>
 <li>
 Exceptional ability to lead cross-functional teams, experience working with a set of highly skilled engineers, data scientists, and designers.
 </li>
 <li>
 Able to create and thrive in a fast paced environment.
 </li>
 <li>
 Strong analytical skills.
 </li>
 <li>
 Experience building user-facing products that leverage LLM technology
 </li>
 <li>
 Experience with enterprise SaaS or sales tech products
 </li>
 <li>
 2+ years of experience as a people manager, leading high performing teams
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Zero to One products
 </li>
 <li>
 AI-powered products
 </li>
 <li>
 Ecosystem thinking
 </li>
 <li>
 Personalization
 </li>
 <li>
 Entrepreneurship
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Group Manager, Product Management

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or equivalent practical experience.
 </li>
 <li>
 5 years of experience in product management, program management, consulting, or a client-facing role on a technical product.
 </li>
 <li>
 4 years of experience in conversational AI design, prompt engineering, or designing evaluation sets for AI/ML models.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience creating scalable frameworks or design patterns (systems-thinking).
 </li>
 <li>
 Experience translating complex user needs or business problems into clear, technical requirements for engineering teams.
 </li>
 <li>
 Ability to navigate ambiguity and drive projects and issues to a clear conclusion.
 </li>
 <li>
 Ability to design and run data-driven experiments (e.g., A/B testing) to drive product optimization.
 </li>
 <li>
 Excellent project and stakeholder management skills.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 YouTube's user base is growing and changing, presenting unique tests and opportunities to support over a billion monthly users globally. Fast-paced, dynamic, and proactive, the YouTube Creator Success team provides seamless, brilliant support to our content creators around the world. Our goal is to ensure millions of creators and partners have easy access to comprehensive support when and where they need it a mission we are increasingly scaling through our AI agent and to allow our creators&rsquo; voices to help shape product solutions.
 
 
 The Creator Success Operations organization is committed to providing exceptional support by building an AI experience. This relies on a team of thinkers who architect the AI's conversational abilities and shape the strategy for its development. Your work in this organization will directly impact our AI support strategy and contribute to a thriving creator experience and ecosystem. By translating complex support journeys into clear AI blueprints and leading our experimentation process from start to finish, you will be the key contributor shaping the quality and effectiveness of our AI for our community.
 
 
 The AI Agent Product Support Manager (PSM) is the bridge between our global YouTube creator support and product teams, responsible for architecting the conversational abilities of our AI agent. PSMs leverage their specialized product knowledge and expertise in conversational design to create core AI support workflows, own the experimentation and quality validation process, partner with Product to address AI performance trends, and ensure support readiness for all new AI capabilities.
 
 
 At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.
 
 
 
 Responsibilities
 
 
 
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 Establish and govern a standardized framework including evaluation sets, golden conversations, and workflow patterns to guide vertical PSMs in translating Support User Journeys (SUJs) into clear engineering requirements for the agent.
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 Own the validation cycle for all new capabilities, overseeing prompt tuning, managing SUJ exit criteria, and activating vertical PSMs to certify journey-specific quality before launch.
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 Manage support communications for critical AI model changes, experiments, and product issues impacting support teams.
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 Support launch readiness for new AI capabilities and empower support teams with documentation, training, and product knowledge.
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 Act as the creator support teams with Product. Coalesce and collect product feedback and insights on conversational performance and prompt effectiveness to ensure that creator needs are represented, quantified, and prioritized for Product Managers and Engineers.
 
 
 
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 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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Product Support Manager, AI Agent Experience

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