Ai And Technical Learning Manager in San Francisco

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more - deeply embedded where people get things done. You’ll ship agentic capabilities on an open, extensible stack, with the craf

A bout the Team Our sales and success teams are the heart and soul of DoorDash, helping us partner with top merchants (think restaurants, grocers, convenience stores, retailers) across the country to grow their revenue and help them operate even better. As DoorDash grows both in scale and scope of offering, the strength of our sales engine and organizational structure must grow with it. We are looking for a Manager level in Sales Strategy and Operations to 1. Develop strategic plans in retaining and growing partnerships at scale, 2. Leverage data tools (e.g. SQL) to help enhance sales productivity in targeting and closing the most valuable partnerships. You'll work among our sales, partner management, operations, product, and analytics teams to build the merchant foundation About the Role Within this job posting, we’re hiring for roles on the following team(s): Long-Tail: We are looking for a Sales Strategy Manager to build and execute the Long-Tail Emerging Bets strategy for our Global Sales Vendor organization. You will work closely with internal stakeholders (Sales, Sales S&O, Finance, and more!) to retain and grow Merchants at scale. You will report into the Manager of Revenue Strategy and Operations in our Merchant organization. You’re excited about this role because you’ll… Contribute to post-sales strategy for our top company priorities. This team sits at the nexus of both scaled initiatives and innovative bets at DoorDash focused on catapulting our restaurant partners’ growth. This role will help to develop a strategic vision for SMB Emerging Bets sales strategy, aligning it with DoorDash's overarching business goals. Drive operational excellence in reporting cadences, rigorous pipeline tracking, and sales productivity – leading end-to-end ideation to execution through data-driven insights. Partner with our cross-functional teams to expand and elevate our offering. To retain, optimize, and grow SMBs, this role

About the role Every enterprise is racing to build AI-powered apps and agents but speed without the right runtime creates chaos, not transformation. Sigma is the AI Runtime Environment that makes those apps governable, scalable, and real, and the Sr. PMM, Sigma Apps will play a critical role in developing and executing the go-to-market narrative and strategy for Sigma Apps. This role requires someone who understands both sides of the enterprise software conversation: the IT leaders and data engineers who evaluate and govern application infrastructure, and the line-of-business owners who care about outcomes, speed, and usability. You'll translate Sigma's application development capabilities into stories that resonate with both and create the materials the sales team needs to tell those stories in the field. What you'll do Develop and maintain positioning and messaging for Sigma Apps including no-code app building, AI-assisted workflow automation, embedded analytics, and apps built with external coding agents working closely with the Director of Product Marketing, Apps and the Product team. Support new feature launches and capability expansions, coordinating across product, design, marketing, and sales to bring new capabilities to market clearly and effectively. Work closely with Product and Engineering to deeply understand and influence the Sigma Apps roadmap bringing market, customer, and competitive insights that help shape and prioritize it. Partner with sales reps and the Enablement team to understand what's working in the field and use those insights to sharpen messaging, update battlecards, and improve enablement materials. Partner with the Enablement team to build and maintain sales enablement content solution briefs, pitch decks, use case guides, competitive comparisons, and discovery question frameworks that help the field confidently sell Sigma Apps Build and maintain competitive analysis and battlecards for the no-code/low-code, embedded anal

About Us Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day. We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X , and discover the projects we’re solving on our Blog . Be sure to explore our Interviewing Guide to learn how to ace our interview process. About the Team Twitch's Enterprise Platform & Technology (EPT) organization is looking for a Software Development Engineer II to build the systems where SAP meets AWS — extending our enterprise ERP with cloud-native services and agentic AI to power Finance and enterprise functions across Twitch and Amazon. This is a hands-on engineering role where you'll work on SAP-side development (ABAP, CDS, RAP, OData) and AWS-native engineering (Lambda, Step Functions, MCP servers, Bedrock, CDK) — owning integrations end-to-end. About the Role You'll work at the intersection of SAP enterprise systems and modern cloud engineering — building AWS-hosted APIs and pipelines that talk to SAP, standing up agentic AI tooling (MCP servers, Bedrock agents, Claude-powered workflows) that automates Finance operations, and shipping production AWS services alongside SAP customizations. The business problems are well understood; how you solve them with SAP + AWS + AI is up to you. We need someone equally comfortable writing ABAP inside SAP GUI and Python/TypeScript infrastructure code against AWS — a full-stack enterprise engineer who ships across both worlds and raises the bar on automation. You Will SAP Engineering (~50%) Design, build, and maintain integrations between SAP (S/4HANA, BTP) and downstream systems — own

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team As an AI analytics company, Amplitude partners with AI native startups to help them move faster from insight to product market fit and from product market fit to scale. Startups are a critical driver of our ecosystem and growth strategy. Our mission is to create new pathways for founders to discover Amplitude and adopt it early in their growth journey. We are looking for a strategic, ecosystem-driven leader to run and evolve Amplitude’s Global Startup and Venture Program. This person will shape how we engage founders, partner with VCs and incubators, and position Amplitude as the platform of choice for AI native startups worldwide. You will become an indispensable resource for founders navigating product market fit and growth, and a trusted partner across the AI startup ecosystem. As a Global Startup and Venture Program Lead,

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude’s Revenue Accounting team is looking for a Sr Billing & Collections Analyst to own critical components of our order-to-cash process, ensuring customers are billed accurately, invoices are delivered on time, and billing issues are resolved quickly. In this role, you’ll manage the end-to-end billing cycle across our revenue streams while partnering closely with customers and internal teams across GTM and Finance. You’ll also play an important role in improving our billing and collections processes, with an opportunity to help move our order-to-cash workflows toward greater automation and scale. This is a hands-on role for someone who is highly detail-oriented, comfortable managing volume and deadlines, and enjoys solving complex problems in a cross-functional environment. As a Sr Billing & Collections Analyst

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude is only as useful as the data inside it. The Data Warehouse and Integrations team owns how that data gets in and out — importing behavioral and customer data from cloud data warehouses like Snowflake, Databricks, and BigQuery, from cloud object storage like S3 and Azure Blob Storage, and pushing enriched event data back out to warehouses, object storage, streaming destinations, and downstream advertising and marketing platforms. That means batch and streaming pipelines moving billions of events a day, connections that have to keep working across dozens of customer-controlled systems, credentials and configuration that have to stay correct and secure, and latency and reliability targets that customers build their own pipelines on top of. Recent work includes launching new warehouse export destinations, migrating our import

Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work. About The Role As the Senior Software Engineer, Tooling and Development Infrastructure, you will play a critical role in shaping the developer productivity tools and automated testing strategy. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated tools and services that ensure the quality and reliability of our AI software stack. You will be highly hands-on in your work and collaborate closely with stakeholders. This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization. What You Might Do Develop and implement automation frameworks and testing strategies that cover the entire software stack, from backend systems to user-facing features. Identify, evaluate, and integrate new tools that streamline development. This includes everything from code quality tools and to Infrastructure-as-Code (IaC) solutions. Lead continuous improvement efforts for our build, release, and test systems, ensuring a robust

Senior Software Engineer - Observability and Reliability About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management Build with modern tools and languages like Go, Open Telemetry and Kubernetes Participate in on-call rotation and ensure uptime of services Create runtime tools/processes that optimize cloud triaging and limit downtime Define best practices around making our systems and services measurable Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software, especially software other engineers use You apply a product mindset to infrastructure systems and feel accomplished enabling others Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models Administered cloud service infrastructure (GCP, AWS, Azure) Startup experience Additional Job details Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize e

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile correspondent to join the tech pod on the Business desk to cover OpenAI and Anthropic as the artificial intelligence race heats up. At the core of the beat are two companies that are writing people’s futures with their fast-advancing technology and becoming the new power brokers in Silicon Valley, dealmaking, geopolitics, national security, economics and Wall Street. We are looking for an energetic, determined and collegial journalist who thrives when competing on the most compelling and important storylines. Proven success in building and cultivating sources and experience reporting on companies are prerequisites. You will work closely with other tech reporters in the United States and around the world. This is a high metabolism job, with breaking news, second-day stories, analysis, explainers, profiles, accountability stories and enterprise. You will collaborate across multiple desks and teams including finance, Audio, Video and Graphics. You will write articles, short Live updates, contribute to newsletters and videos and participate in collaborative reporting projects. This is an in-office position, based in San Francisco and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities : You will generate original reporting on news, events and trends on Anthropic a

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The New York Times is looking for a talented, experienced and versatile correspondent to join the tech pod on the Business desk to cover Anthropic as the artificial intelligence race heats up. Anthropic has grown quickly and changed coding, security and other areas with its technology, becoming a new power broker as it heads toward a public offering, and tangling in geopolitics, national security, economics and religion. We are looking for an energetic, determined and collegial journalist who thrives when competing on the most compelling and important storylines. Proven success in building and cultivating sources and experience reporting on companies are prerequisites. You will work closely with other tech reporters in the United States and around the world. This is a high metabolism job, with breaking news, second-day stories, analysis, explainers, profiles, accountability stories and enterprise. You will collaborate across multiple desks and teams including finance, Audio, Video and Graphics. You will write articles, short Live updates, contribute to newsletters and videos and participate in collaborative reporting projects. This is an in-office position, based in San Francisco and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. This role is represented by the NewsGuild of NY. Responsibilities: You will generate original reporting on

About The Team DoorDash for Business is building the premier corporate dining and benefits platform—helping companies of all sizes feed their teams through industry-leading products and meal programs. Our mission is to become the go-to solution for executives, administrators, and employees who need seamless, high-quality food programs at work. We move fast, operate with an ownership mindset, and are growing new product lines to better serve our corporate customers. Merchant success is core to that mission. When merchants have a clear, fast, and high-quality path from interest to live, our products work better for everyone—customers, Dashers, and the merchants themselves. About The Role As Associate Manager, Merchant Onboarding and Experience on the DoorDash for Business team, you will own how merchants get onto our programs and how they feel while they do it. You will be the lead for onboarding process design, execution quality, and merchant experience—turning a complex, multi-step journey into something that is faster, clearer, and consistently excellent. Your responsibilities will range from strategic (mapping the end-to-end onboarding journey, setting the operating model, and aligning Product, Ops, Sales, and Support on what “great” looks like) to operational (diagnosing drop-off, tightening handoffs, building playbooks, and using data and automation to remove friction). You will bring a systems mindset: every broken step is a process to redesign, every merchant complaint is a signal, and every manual workaround is a candidate for a better workflow. You will report into the DoorDash for Business Merchant Experience team. You’re excited about this opportunity because you will be driving… Onboarding Process Ownership Own the end-to-end merchant onboarding journey—from first intake through go-live. Map the current-state workflow, identify bottlenecks and failure points, and redesign the process so merchants get live faster with fewer drop-offs, fewer handoffs, and c

Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including frontier model training, enterprise adoption, defense applications, and autonomous vehicles. Our mission is to develop reliable AI systems for the world's most important decisions. The next frontier for AI is the physical world. We're looking for an AI Product Manager to own the Robotics vertical within our Physical AI team. In this role, you'll own both the development of the data and training environments (the teleoperated demonstrations, real-world collections, simulated tasks, and annotation products that labs use to train and evaluate robot policies) and the "data as a product" strategy that powers them. You'll understand where physical AI is headed, decide what robot tasks and embodiments are worth collecting, how to source and structure the underlying data, and how to turn deep domain knowledge into a defensible product. The ideal candidate has lived inside robotics or physical AI research, and is able to pair that domain understanding with a sense for where current robot policies succeed and fail in real-world workflows. You'll translate that expertise into datasets, environments, and evaluation frameworks that teach robots to do real physical work, and you'll be the domain expert Scale's most important customers and their leading researchers turn to. A strong entrepreneurial & go-to-market mindset will be necessary. What You'll Do Own the Robotics AI roadmap & data strategy: Set product direction for the robotics training stack and the data strategy behind it — what data we collect, on which hardware and embodiments, and what we source internally vs. through our marketplace. Establish a vision for where physical AI is heading, driving execution across engineering, operations, and go-to-market teams. Build partnerships with research teams at frontier labs: Work directly with researchers at leading physical AI labs to understand where their robot p