Together AI jobs

Recruiter, AI Research San Francisco, CA | Seattle, WA About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: - Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent - Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications - Enhance and implement recruiting processes and programs while maintaining an inclusive

Innovation Director Causeway Bay, , Hong Kong Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . Job Description: The Opportunity As one of the world's leading enterprise AI platforms, with more than 85% of the Fortune 500 as customers, how ServiceNow imagines and builds for the future of work matters. We are seeking an experienced technology futurist to join our Innovation Office and help lead ServiceNow Futures, the foresight and futures intelligence function that powers our forward-looking narrative, and contribute to building the ServiceNow AI Institute, our executive-level community for leaders navigating AI business reinvention. This is a first-of-its-kind role. ServiceNow Futures exists to help customers navigate the complexities and opportunities shaping AI business reinvention. The AI Institute takes that mission further by delivering a 5-product program, Futures Reports, AI Council, Signals, Frameworks & Playbooks, and AI Transformation Workshops, built exclusively for C-suite leaders, their teams, and their strategic

LLM Inference Frameworks and Optimization Engineer San Francisco, Singapore, Amsterdam About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-efficiency. We are seeking an Inference Frameworks and Optimization Engineer to design, develop, and optimize distributed inference engines that support multimodal and language models at scale. This role will focus on low-latency, high-throughput inference, GPU/accelerator optimizations, and software-hardware co-design, ensuring efficient large-scale deployment of LLMs and vision models. This role offers a unique opportunity to shape the future of LLM inference infrastructure, ensuring scalable, high-performance AI deployment across a diverse range of applications. If you're passionate about pushing the boundaries of AI inference, we'd love to hear from you! Responsibilities Inference Framework Development and Optimization - Design and develop fault-tolerant, high-concurrency distributed inference engine for text, image, and multimodal generation models. - Implement and optimize distributed inference strategies, including Mixture of Experts (MoE) parallelism, tensor parallelism, pipeline parallelism for high-performance serving. - Apply CUDA graph optimizations, TensorRT/TRT-LLM graph optimizations, and PyTorch-based compilation (torch.compile), and speculative decoding to enhance efficiency and scalability. Software-Hardware Co-Design and AI Infrastructure - Collaborate with hardware teams on performance bottleneck analysis, co-optimize inference performance for GPUs, TPUs, or custom accelerators. - Work closely with AI researchers and infrastructure engineers to develop efficient model execution plans and optimize E2E model serving pipelines. Requirements Must-Have: - Experience: - 3+ years

AI Researcher, Core ML (Turbo) San Francisco About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together's API, including high‑performance inference and RL/post‑training engines that can run at production scale. Our mandate is to push the frontier of efficient inference and RL‑driven training: making models dramatically faster and cheaper to run, while improving their capabilities through RL‑based post‑training (e.g., GRPO‑style objectives). This work lives at the interface of algorithms and systems: asynchronous RL, rollout collection, scheduling, and batching all interact with engine design, creating many knobs to tune across the RL algorithm, training loop, and inference stack. Much of the job is modifying production inference systems-for example, SGLang‑ or vLLM‑style serving stacks and speculative decoding systems such as ATLAS-grounded in a strong understanding of post‑training and inference theory, rather than purely theoretical algorithm design. You'll work across the stack-from RL algorithms and training engines to kernels and serving systems-to build and improve frontier models via RL pipelines. People on this team are often spiky: some are more RL‑first, some are more systems‑first. Depth in one of these areas plus appetite to collaborate across (and grow toward more full‑stack ownership over time) is ideal. Requirements We don't expect anyone to check every box below. People on this team typically have deep expertise in one or more areas and enough breadth (or interest) to work effectively across the stack. The closer you are

Customer Success Manager, Sydney Sydney, Australia, Sydney, Australia Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About Us We're on a mission to make it possible for every person, team, and company to be able to tailor their software to solve any problem and take on any challenge. Computers may be our most powerful tools, but most of us can't build or modify the software we use on them every day. At Notion, we want to change this with focus, design, and craft. We've been working on this together since 2016, and have customers like OpenAI, Toyota, Figma, Investment NSW, LinkTree, and thousands more on this journey with us. Today, we're growing

Machine Learning Intern/Co-op (Fall, 2026) Canada | Remote | United Kingdom | United States | Europe Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what's best for our customers. Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products. Join us on our mission and shape the future! Why this role? Ship state of the art models to production. Design and implement novel research ideas. Build elegant training/deployment pipelines. Join us at a pivotal moment, shape what we build and wear multiple hats as an intern! Our recruitment process will begin in the upcoming weeks, and we will be carefully reviewing applications and assessing potential candidates for our internships. Should we find a suitable match with your qualifications and our requirements, we will be in touch to discuss the opportunity further and

AI Engineer Dearborn, MI, United States We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Engineering Manager, Mobile AI New York, New York, New York, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About the Role You'll lead the Mobile AI engineering team, responsible for making Notion AI genuinely useful on phones and tablets. Mobile is where AI needs to work in the moment: when users are capturing ideas, catching up between meetings, asking questions, or trying to move work forward away from their desk. What You'll Achieve - Define and evolve the roadmap for Notion's core mobile AI surfaces, including chat, capture, agent workflows, workspace Q&A, and lightweight creation flows. - Take new mobile AI ideas from exploration to shipped product, using prototypes, user

Partner Director San Francisco | OnSite | New York City | Austin, Texas WE ARE AN APPLIED AI LAB BUILDING END-TO-END SOFTWARE AGENTS. We're the makers of Devin, the first AI software engineer, and Windsurf, the AI-native IDE. Together, they represent our vision for collaborative AI teammates that enable engineers to focus on more interesting problems and empower teams to strive for more ambitious goals. Our team is small and talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. Building Devin and Windsurf is just the first step-our hardest challenges still lie ahead. If you're excited to solve some of the world's biggest problems and build AI that can reason on real-world tasks, apply to join us. ABOUT THE ROLE As a Partner Director, you will be responsible for building Cognition's partner ecosystem from the ground up - sourcing, recruiting, enabling, and activating partners that drive meaningful revenue for Cognition's platform.. You will create partnerships from a standing start and turn them into partner-initiated business. This is not a maintenance role. You will define the strategy, build the program, support deals, and help close new business alongside our partners. You'll work closely with engineering, product, sales, and marketing to build a high-leverage partner engine that accelerates Cognition's growth and expands Devin's reach into the world's most ambitious technology organizations. Successful candidates will have 3+

Senior Staff AI-Native Software Engineer – Agentic Systems Santa Clara, CALIFORNIA, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description: AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day. We build AI as foundational platform infrastructure - prioritizing robustness, performance, safety, and real-world customer impact at scale. About the Team AI Engineering and Delivery is the customer-obsessed engineering group building the agentic AI and enterprise-scale search systems that power Now Assist, AI Agents, and the AI-driven experiences our customers rely on every day. We build AI as foundational platform infrastructure - prioritizing robustness, performance, safety, and real-world customer impact at scale. Types of problems you'll get to work on You will design, build, and operate production-grade agentic AI systems embedded across ServiceNow's

Senior AI Engineer - User Assistance Platform Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you`ll build Are you passionate about agentic AI and want to build systems that make a tangible global impact? Join SAP's User Assistance Content, Services and Infrastructure (UA CSI) organization to build the intelligent backbone that powers how over 1,000 professionals create and deliver documentation at scale. As an AI Engineer you'll own a production AI framework at the heart of SAP's global technical documentation landscape - developing AI agents that automate end-to-end content workflows, ensure the reliability of systems thousands of colleagues depend on, and ultimately improve the help experience for millions of SAP customers. You will design and build multi-agent AI systems using LangGraph on a cloud-native stack (SAP AI Core, Kubernetes), capable of reasoning across knowledge graphs. You will integrate agent tools connecting REST APIs and SAP internal services to embed AI-powered automation into core content workflows.

Vice President, AI & Machine Learning Engineering Santa Clara, CALIFORNIA, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description: At ServiceNow, we're building the AI control tower for business reinvention. We are seeking an exceptional VP of AI & Machine Learning Engineering to lead the teams building our core AI products and capabilities - branded as Now Assist - delivered across IT, HR, Supply Chain, Finance, and CRM, serving industries from telco and healthcare to manufacturing, banking, and insurance. This leader will drive the architecture, development, and delivery of key AI/ML capabilities embedded across the Now Platform - including AI model strategy, natural language understanding, agentic AI orchestration, voice, recommendation systems, and the ML infrastructure that powers enterprise-scale operations. A key focus area is applying autonomous AI to the enterprise work context - building multi-step, multi-department business process automation that fundamentally changes how the world's largest

Staff Engineer, Product UI Platform San Francisco About the Role Together AI is seeking a highly experienced Staff Engineer to join the Product Engineering team, to own and evolve the Product UI Platform - the architectural foundation that powers how product teams build full-stack features across our web surface.This role is responsible for evolving the product runtime from its current monolithic growth architecture to a scalable, modular, and high-leverage platform that supports increasing scale, reliability requirements, and a growing number of feature engineers. You will define and drive the technical direction of the Next.js/typescript/nodejs web runtime, BFF layer, and application integration patterns, partnering peer-to-peer with Backend and API Platform leaders to ensure cohesive architectural evolution across layers. This is a deeply hands-on role for and experienced engineer with real life experience leading and implementing architectural evolution and is ready to take full ownership of a critical technical domain. Responsibilities - Lead the next phase of architectural evolution for the product application platform - Design and implement foundational platform primitives used across product teams - Reduce architectural entropy and duplication across the web surface - Improve application-level performance and reliability metrics - Drive incremental modularization without disrupting feature velocity - Establish performance budgets and enforce application-layer guardrails - Partner with Backend Platform to shape API ergonomics and integration boundaries - Collaborate with SRE to ensure runtime stability and production readiness - Write and maintain critical-path platform code - Establish durable standards for how full-stack features are built - Mentor engineers and

Partner Business Development - AI & Data Transformation (Americas) Remote | Chicago, Illinois, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Job Description: Role Overview The Partner Business Development - AI (Americas) is an individual contributor role responsible for identifying, recruiting, and developing partners across the Americas who can adapt their practices to incorporate ServiceNow's AI platform into their business strategies and reference architectures. This role is critical to ensuring that ServiceNow's top regional partners align their solutions with our AI strategy, driving fast execution, joint pipeline creation, and customer design wins that showcase the transformational value of ServiceNow's platform. What You Get to Do in this Role Partner Identification & Recruitment: Proactively identify and onboard innovative partners across the Americas who can adopt ServiceNow AI into their reference architectures. Practice Penetration: Influence partner practices to incorporate ServiceNow AI for business transformation and build differentiated offerings. Joint

Staff AI Engineer - Multi-Agent Frameworks United States At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors . This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: - Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. - Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. - Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination . - Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. - Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent

Principal Applications Dev Engineer Hyderabad, , India Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . Job Description: What you get to do in this role: Produce high quality design and code on aggressive deadlines of shared UI components Provide guidelines and mentoring application teams on how to implement and design UI components Design & implement comprehensive UI/UX solutions by understanding customer problems, product goals and technical requirements Collaborate with design and platform teams to deliver engaging and consistent user interfaces Participate in all technical aspects of team deliverables, including quality, performance, maintainability, and scalability Communicate technical decisions (architecture and design) to business and engineering Qualifications: To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the

Software Engineer, Backend (Cooperative AI) San Francisco, California, United States, Seattle About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building a model powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We're looking for a Backend Software Engineer to help architect and scale the infrastructure that powers our knowledge systems. This is a deeply technical and highly cross-functional role where you'll build robust systems and backend services that serve as the

AI Adoption Lead West Palm Beach, Florida, United States Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Relocation to West Palm Beach is available and provided by ServiceNow Job Description: About the Role We are seeking a highly collaborative and people-driven AI Adoption Lead to lead adoption and change management for our Global Sales Operations organization, as part of the GTM AI Acceleration team. Your role is to ensure that every innovation is implemented, deeply adopted, embedded in workflows, and embraced by teams across the globe. This role will focus on helping build scalable training programs, leading behavioral change initiatives, and activating communities of practice and local champions as the cornerstone of our innovation adoption strategy. These communities will serve as internal incubators for feedback, peer learning, advocacy, and continuous improvement. You'll work hand-in-hand with GTM Engineers, Data Engineer, Project Managers, Enablement Experts, and our Sales Operations teams to

Machine Learning Intern - AI Agents Conversational AI Hong Kong, STP posted: Posted 30+ Days Ago

AI Solution Architect İstanbul, Istanbul, Türkiye

Staff Software Engineer - Moveworks Bangalore, Karnataka, India Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . Job Description: Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt. Moveworks is trusted by over 5.5 million employees at more than 350 of the world's largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company's 2025 Most Innovative Companies and Inc's Best in Business, in the

Sr Staff Software Engineer - Core Infra Engineering - Moveworks Bangalore, Karnataka, India Company Description: It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow- helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. . Job Description: Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt. Moveworks is trusted by over 5.5 million employees at more than 350 of the world's largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company's 2025 Most Innovative Companies and Inc's

Principal AI Engineer Remote (United States) About Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver “whole-person” care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building - a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Check out the AI-First Medicaid System we are building here . - Forbes: For Pair Team, Accessibility Is About Delivering

Software Engineer, AI Capture San Francisco, California, San Francisco, California, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About The Role Build the most advanced AI Meeting Notes product - and expand it into broader “AI data capture” features that help teams turn conversations into durable context, tasks, and knowledge. Our mission is to 10x the rate of business context & data that enters Notion - optimized for agents - so teams get superhuman memory across workstreams and customers. Notion workspaces that use AI Meeting Notes already enter 6x more data on a daily basis, so we're well on our way. What You'll Achieve - Ship end-to-end product experiences across