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About Ema Ema builds AI Employees for HR, IT and Finance. Our AI Employees take on the busy work across the employee experience, from recruiting, onboarding and benefits to IT support, invoice processing and payroll, so people can spend their time on work that needs them. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Creaegis, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production. We ship real systems that run real business processes at scale. Build agents that learn from the work they do. Ema builds AI employees that carry out complex workflows across enterprise applications. Our ML team works on the loop that makes them better: production traces become data, data becomes training and evaluation, and better agents produce better traces. The hard part is deciding which intervention will improve behavior in the next real workflow. The problem space Harnesses and inference-time compute. Design context, tools, skills and orchestration for multi-step agents, including work across documents, slides, images, audio and video. Test where extra reasoning, search or verification earns its latency and cost. Build self-improvement loops with explicit permissions, evaluation gates and rollback. Agent post-training. Curate trajectories for SFT, optimize preferences, or run RL on real agent tasks. Investigate methods such as DPO, GRPO or DAPO where they fit; compare process and outcome supervision, shape rewards, and distill useful frontier behavior into smaller models. Measure whether gains transfer beyond the training environment. Environments and rewards. Turn enterprise workflows into reproducible training

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team The Unified Privacy Platform team’s mission is to earn the trust of every DoorDash user by upholding their right to privacy, consent, and transparency. We are building a common privacy foundation across DoorDash, Wolt, and Deliveroo so Consumers, Dashers, and Merchants can understand how their data is used, control their choices, and exercise their privacy rights through simple, consistent experiences. Our work is organized around three connected pillars: the Privacy Center, a unified user-facing destination for privacy controls and rights; the Unified Privacy Platform, which captures and enforces consent, policy, jurisdictional requirements, and privacy actions; and Privacy Operations and Intelligence, which gives Legal, Support, Privacy, and engineering operators the workflows, diagnostics, audit history, and automation needed to resolve privacy work safely and efficiently. Together, these capabilities turn fragmented, one-off compliance work into reusable platform primitives that can support new products, brands, and emerging regulations. About the Role DoorDash is looking for an Engineering Manager to lead the Unified Privacy Platform team. You will lead a team of backend and platform engineers responsible for the next generation of

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. As a Senior Backend Engineer on Gong’s Agentic team, you will build and operate production-grade AI agents that interact directly with Gong’s customers. You will design and implement the backend systems that enable these agents to understand customer requests, reason over context and data, interact with tools and APIs, and take meaningful actions on behalf of customers. This is a new, high-impact team focused on building customer-facing agentic product experiences. You’ll work extensively in the agentic AI space, designing and building AI-powered applications that communicate with customers and solve real-world problems. The systems you build will combine LLMs, agents, tools, APIs, business logic, and Gong’s data to deliver useful and reliable customer experiences at scale. You’ll Own: Customer-Facing Agent Development: Designing, bui

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: As a Forward Deployed Architect on Notion’s Services team, you will help customers turn AI ambition into operational reality and unlock the full potential of our platform. You will partner directly with customers to design, build, and launch AI-native workflows that drive adoption, usage, and measurable business outcomes. This role sits at the center of Notion’s workflow-led GTM motion. You will partner directly with customers to understand their business goals, operating processes, technical environment, governance needs, and adoption barriers, then translate that context into scalable Notion architectures that drive measurable value. You will be hands-on across discovery, solution design, workspace architecture, workflow build, AI implementation, launch planning, adoption and handoff. You will work deeply with customers to define what Notion should own, where it should integrate with existing systems, and how Notion can become a durable operating layer for their teams. The best candidates combine strong consultative discovery, systems thinking, technical fluency, AI-native workflow design, implementation judgment an

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. As a Senior Technical Support Engineer, you will be a trusted advisor and technical resource for our customers in the APAC region. This is a hands-on role for someone who thrives in dynamic environments, loves troubleshooting complex technical issues, and is passionate about delivering exceptional support experiences. You’ll be responsible for resolving high-impact technical issues, driving customer success, and collaborating closely wit

About the team The Adoption, Innovation, and Transformation (AIT) team within OpenAI for Government helps government organizations turn OpenAI products into durable capabilities and measurable mission impact. We work alongside government leaders and public servants to move from exploration to confident, responsible, organization-wide use of AI, including our Cyber and Daybreak capabilities. Our work combines strategic communications, hands-on enablement, adoption strategy, deployment support, and community building, tailored to government missions and operating environments. About the role We are seeking a Cyber Enablement Lead to help government cyber professionals turn Daybreak’s capabilities into stronger defenses and measurable mission outcomes. This role combines technical credibility, hands-on teaching, strategic communication, and cross-functional leadership. You will own Daybreak’s government product enablement strategy and personally design and deliver the training that brings it to life. Your work will span audience research, curriculum design, recorded demonstrations and courses, hands-on workshops, executive briefings, and cyber councils. You will work directly with U.S. and international government cyber leaders to translate frontier AI capabilities into practical workflows that address operational challenges. You will also partner with the cyber product team, bringing customer feedback, deployment challenges, and adversarial context into product development. Your work will help shape best practices for adopting and deploying our cyber tools, strengthen government cyber defenses, and inform the direction of these capabilities. You will engage across the government cybersecurity ecosystem, including Authorizing Officials (AOs), CISOs, cyber operators, developers, and senior executives. Practitioners need practical proficiency; executives need a strategic understanding of our cyber products, their value, and their implications for mission and risk. Succes

About the Role We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands. OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design. This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area. In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions. In this role, you will: Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action. Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design. Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth. Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences. Communicate complex findings to executives and cross-functional partners with crisp re

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies, from the world’s largest enterprises to the most ambitious startups, use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet. We have a significant amount of work ahead, which gives you the opportunity to do some of the most important work of your career. About the team The Capabilities team sits within the Global Partnerships organization and is a key part of Stripe’s success. We develop and execute high-impact product partnership initiatives and strategies with card network partners, including Visa, Mastercard, and American Express. Our work helps shape Stripe’s product strategy and deliver capabilities for Stripe users, including agentic commerce and stablecoin pilots. What you’ll do As a Partner Development Manager on the Capabilities team, you will define and execute high-impact product partnership strategies with Stripe’s card network partners. You will use deep payments expertise to identify opportunities, shape joint strategies and commercial models, and lead cross-functional execution for new capabilities that support Stripe’s long-term priorities. You will partner closely with Product, Engineering, Legal, Finance, Risk, Compliance, Treasury, and senior external stakeholders. You will develop partner requirements, define deal strategy, lead complex negotiations, and drive alignment across multiple teams and partners. Responsibilities Define and execute product partnership strategies and joint initiatives with Stripe’s most critical card network partners, including new offerings that benefit Stripe users. Identify, evaluate, and make the case for high-impact partnership opportunities, using industry expertise, partner context, and cross-functional input. Develop commercial models, partnership approaches, and distribution plans for new product capabilities and go-t

About the team The Applied AI Engineering team helps enterprises put Codex to work on their most important engineering workflows. We work alongside customer engineers to turn frontier AI capabilities into systems that improve how software is built, shipped, secured, and operated. Our work spans unfamiliar codebases, legacy systems, data pipelines, infrastructure, and enterprise integrations. We discover where AI can make a meaningful difference, build and prove solutions, and turn what we learn into reusable architectures, tools, and feedback that help shape Codex. About the Role We’re looking for an engineer who enjoys understanding complex systems, building alongside customers, and solving problems where the path forward isn’t obvious. You’ll work directly with technical leaders and engineers to identify valuable opportunities and take them from discovery through implementation and evaluation. You might build a Codex-assisted release review workflow, modernize a legacy data pipeline, accelerate a dependency migration, or connect an agent to the systems and context it needs to investigate production incidents. You’ll combine hands-on software engineering, architecture, and technical leadership to make Codex part of how customers get important work done. Success means delivering the agreed solution, demonstrating measurable improvement, and helping the customer sustain and expand its use. Working with our product, engineering, research, and account teams, you’ll turn deployment experience into evidence that informs improvements to Codex. The position is based in Sydney, Australia , with three office days each week. Relocation assistance is available to new employees. In this role, you will: Lead customer engineering engagements from workflow discovery and architecture through implementation, evaluation, and handoff, with clear customer owners, delivery milestones, and measurable success criteria. Assess customer repositories, data systems, infrastructure, security c

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. About Our Team The Smart Manufacturing and Artificial Intelligence (SMAI) organization is leading Micron’s AI-first transformation by building intelligent applications, AI-powered platforms, data products, and automation solutions that accelerate innovation across manufacturing, engineering, and business operations. Position Overview As a Senior AI Full Stack Engineer, you will lead the architecture, development, deployment and operationalization of secure, scalable AI-powered applications. You will combine strong software engineering with practical expertise in Generative AI, agentic systems, cloud-native services, data integration and modern user experiences. The role is expected to independently own complex technical outcomes, guide engineering decisions, mentor junior engineers and partner with architects, data scientists, product owners and business stakeholders to deliver measurable enterprise value. You will build enterprise-grade services and APIs using C# and .NET (ASP.NET Core), develop modern frontend experiences, integrate Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP) and enterprise

ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F , led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Baseten is looking for an Office Coordinator to help run our New York office and create an exceptional experience for everyone who works in or visits the space. You will work alongside our Office Manager and be at the center of the day-to-day operations of our largest and fastest-growing office. A major focus of this role is making our increasingly complex space work well. You will manage high demand for conference rooms and phone booths, anticipate competing needs, and make thoughtful tradeoffs based on team and business priorities. Like a great EA managing an executive’s calendar, you will constantly look ahead, spot conflicts, and adjust the puzzle. You’ll be part of a growing, highly collaborative team that works together to raise the bar for how we support Baseten. The team shares context, jumps in to support one another, and continuously looks for ways to improve how we operate. As Baseten grows, you’ll have opportunities to take on new challenges and expand your scope. This is an in-person role in New York, expected to be in-office five days per week. RESPONSIBILITIES Collaborate on front-of-house reception with the Office Manager , creating a warm, polished experience for employees, candidates, customers, investors, and other visitors Plan ahead for high-priority and large-group needs, including onboarding, sales bootcamps, candidate interviews, customer visits, confidential meetings, marketing events, a

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Seattle, Washington D.C., Raleigh, London, and Amsterdam. Data Governance builds the infrastructure that ensures Plaid responsibly manages sensitive consumer financial data. This includes identifying and managing PII (including deletions), enforcing consent and other data use limitations, upholding data minimization, and anonymizing data, while unblocking velocity for internal teams. Responsibilities Own the product strategy and execution for privacy, data governance, and responsible data use across Plaid’s platform Ensure Plaid’s products and internal systems handle consumer data in ways that are compliant, transparent, secure, and aligned with Plaid’s values and commitments Serve as the connective PM between Legal, Security, Data, Engineering, and Product teams to operationalize privacy requirements into scalable product solutions Define and drive the roadmap for privacy-related platform capabilities (e.g., consent, data minimization, retention, deletion, access controls) Translate evolving regulatory requirements into clear product requirements and system designs Partner with Legal, Policy, and GTM to proactively identify privacy risks and opportunities in new and existing products Work closely with Engineering to design privacy-by-de

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. About the role Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. The RL Scaling team works on how RL scales: what happens to throughput, stability, and learning efficiency as models get larger, episodes get longer, and compute grows by orders of magnitude, and what has to change in our algorithms and systems to keep getting returns from that scale. This role sits squarely across research and engineering. You'll develop next-generation architectures and RL algorithms, take them from a small-scale result to a frontier-scale run, and understand every place they behave differently along the way. You'll build the systems that set how fast the team can iterate: how many experiments, at what scale, and how quickly we can trust the results. And you'll work on Anthropic's largest and fastest RL runs, where the gap between a good idea and a working one is often a problem no one has solved yet. Key responsibilities Study how RL training and sampling scale with model size, context length, and compute, and find the algorithmic and systems changes that keep scaling efficient Develop next-generation model architectures and RL algorithms, and make them run efficiently at frontier scale Take promising small-scale results to frontier-scale runs, and diagnose why they behave differently when they get there, whether the cause is numerical, algorithmic, or systemic Build the experimental infrastructure that sets research velocity: fast, reproducible comparisons of architecture and algorithm variants at meaningful scale Own end-to-end performance of our largest RL runs, from research code down to th

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team The Customer Experience team's mission is to be the reason customers keep coming back after they experience a defect with their orders. We do this by redefining customer support and creating experiences that solve customer problems while building trust. We believe that by creating interactions that are effective, empathetic, and highly personalized, our merchants, couriers, and consumers will continue to choose us as we empower local economies around the world. As DoorDash, Wolt, and Deliveroo come together on a unified global platform, we're transforming how customer experiences are delivered around the world. By combining advances in AI with deep operational expertise, we're building products that enable exceptional experiences at global scale while preserving the unique needs of local markets. About the Role We're looking for an experienced product leader to lead one of the most strategic product areas within Customer Experience. This is a truly global role with responsibility across DoorDash, Wolt, and Deliveroo. You'll lead a team of Product Managers responsible for building the products that power our global Customer Experience organization, enabling millions of interactions across dozens of countries every year. As AI rapidly changes how customer experiences are delivered, you'll define how intelligent automation, rich context, and human expertise come together to create faster, more personalized, and more effective outcomes. Your team will build the products that capture the right information, surface the right insights, and continuously improve through intelligent feedback loops. A core part of this role is understanding the unique needs of local mark

Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t