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Location: Budapest, Hungary 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. 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. Our Merchant teams are at the heart and soul of Wolt, ensuring that we set all of our Merchant Partners up for success by providing a seamless onboarding, menu, and photo experience. As Wolt grows both in scale and scope of offering, the strength of our merchant engine must grow with it. This role is based in Budapest, Hungary, and works closely with our in-market team in Finland. What you'll be doing Upload and maintain restaurant menus and related content in Wolt’s internal systems Make sure menu information is accurate, complete, and up to date Fix issues and follow up on missing or unclear details with partners or internal teams Keep track of tasks and progress using Monday.com and other internal tools Learn and work confidently with our tools, processes, and ways of working Our humble expectations You’re fluent in Finnish and English , both spoken and written You’re detail-oriented and enjoy working with structured information and systems You’re comfortable with administrative tasks and like keeping things accurate and organized You’re a creative problem-solver who takes initiative when something doesn’t add up You’re okay with occasional phone calls with partners based in Finland You can work independently and manage your time well in a fast-moving environment You're open minded who enjoys collaboration with teammates Nice to have: Experience in an administrative, operations, or customer support role Familiarity with content management systems or internal tools Background in gastronomy or the food industry What we offer: 🌍 Independent work in a dynamic, international team 💳 SZÉP-card * 🏥 Private health insurance * 🏋️ All You Can Move card (self-financed) * 💙 Employee Assistance Programme - therapy and wellbeing * % Discount on your Wolt orders * 👶 Extended parental leave for fathers: 16 weeks total * 💻 Modern work equipment 🫶 Volunteer day 🍿 Snacks & drinks in the office If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Remote: United States; Remote: Canada Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render's mission is to eliminate the undifferentiated work that goes into building software products by offering an easy-to-use, powerful cloud platform for developer teams of all sizes. By joining us at an early stage, you will design and build the cloud platform you've always wanted for yourself, and make decisions that will shape our product and company, directly impacting developers around the globe. The challenge is in building the right user-facing features and abstractions that make simple application deployments effortless and complex application deployments possible. User experience is our primary focus and drives everything we do. As a product engineer at Render, you will take complete, end-to-end ownership of full stack projects. You should already have experience building products across the stack and have a keen understanding of databases, web frameworks, APIs, and multiple programming languages. WHAT YOU'LL DO - Build new products. This team owns the customer attraction, onboarding, and billing flows. - Collaborate closely with design, product, other engineers, and cross-functional stakeholders. - Help evolve and mature the Render codebase and technology as the product scales and increases in complexity over time. - Participate in team planning, roadmapping, and goal-setting. - Help shape team culture and practices as the company scales. - Participate in on-call responsibilities with the rest of your team. WHAT WE'RE LOOKING FOR - 6+ years of professional experience shipping software. Bonus points if you’ve excelled at a small, high-growth startup. - Experience collaborating with product and design stakeholders. - Experience wearing multiple hats and working across the stack, both collaboratively and independently. - Strong understanding of web frameworks, APIs, and databases, and experience working with multiple programming languages. - Strong sense of ownership and ability to make pragmatic decisions about your work. NICE-TO-HAVES: - Familiarity with modern tooling for software build and deploy processes. - Familiarity building for product-driven growth and modern enterprise audiences. - Experience with any of the technologies the Render product runs on: Go, Typescript, React, Kubernetes, Postgres, Terraform, Temporal. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients. ABOUT THE PROJECT Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents. Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels. We are developing a customer support research and resolution platform. The platform will include: - data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows. - agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes - research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers) The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.   WHAT YOU’LL DO - Design and implement AI-powered features: integrate LLM and build AI agents. - Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete. - Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents. - Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases. - Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments. - Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI. - Participate in technical design reviews, shaping architectural decisions and engineering standards. WHO ARE YOU - You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors. - You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built. - You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically). - You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems. - You have a strong understanding of distributed systems design patterns. - You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively. - You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications. - You are fluent in at least one non-JS programming language (Java is a strong advantage). - You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives. - You thrive in environments where AI isn’t a side feature but a core building block. - You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed. - You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments. WHAT YOU BRING - 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js. - 9+ months of commercial experience building AI features using OpenAI ecosystem. - Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows. - Experience designing and implementing MCP servers to integrate external capabilities with LLMs. - Proven ability to design structured prompt architectures with evals, guardrails and observability. - Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration. - Strong fundamentals in building secure, performant, production-grade APIs and backend systems. - Experience with CI/CD, testing, monitoring, and cloud infrastructure. ADDITIONAL SKILLS - Understanding concepts of semantic search is a strong advantage. - Experience playing a role of team leaders is a strong advantage. - Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage. - Experience with streaming UIs, conversational UX, and SSE/WebSockets. - Knowledge of prompt injection defenses and responsible AI practices. TECH STACK This platform is a green-field development. - Core: TypeScript, Node.js, React/Next.js, Java - AI: OpenAI API, MCP servers, OpenAI Agents SDK - APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much) - Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines - Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just "supporting" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil. We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership. LOCATION/CITY: San Francisco, CA; New York, NY RESPONSIBILITIES: - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks. - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds. - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration. - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar. - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions. - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence. - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business. REQUIREMENTS: - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment. - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity. - Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively. - Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations. - Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive. - Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket. COMPENSATION - Annual salary range: $160,000 - $230,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: At Modal, we sell cloud services atop which our customers run their critical production systems. As a rapidly growing new cloud infrastructure company, we seek to improve our reliability dramatically while scaling the size of our platform, customer base, and team. This role is for people who are deep systems thinkers, love stacking nines, and thrive on making others move faster at scale. WHAT YOU'LL WORK ON: - Identify architectural changes to improve reliability and performance - Foster a culture of reliability across Modal’s engineering organization - Define and implement operational processes such as deployments and upgrades - Operate infrastructure like Kubernetes, Postgres, and Redis - Participate in on-call rotations and respond to production incidents YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You have 2+ years of on-call experience for critical production services - You have strong cloud skills and deep familiarity with at least one hyperscaler cloud (AWS preferred) - You’re familiar with autoscaling, fleet management, and capacity planning at scale - You’ve operated databases, monitoring, CI/CD, and other infrastructure at scale - You’re able to work in person in our NYC or Stockholm offices NICE-TO-HAVE: - Experience owning and scaling Kubernetes clusters to thousands of nodes - Experience with systems safety research (e.g., STAMP) and control theory

Location: Düsseldorf, Germany 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. Calling all team-players - are you looking for a flexible job that could shape the future of retail? If so, then let’s talk! We are looking for part-time Grocery Associates to join our Wolt Market team in Dusseldorf! 🤩 What you’ll be doing Taking in orders through our Merchant app Picking and packing groceries, and handing them to customers and courier partners Unloading food and supplies that we receive from vendors Managing our internal systems which include precise information about nutrients and allergens Maintaining order and cleanliness of the store Our humble expectations You are proactive and a fast learner with the ability to multitask Flexibility with working in shifts in the mornings, evenings and nights, including weekends and public holidays Experience from working in a grocery store is an advantage! You are fluent in English. Fluency in German is a plus! You have the right to work in Germany Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so send through your application ASAP :) Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp's Strategic Enterprise CSMs don't manage accounts — they transform how companies run their finances. This is a role for people who have been inside large organizations when change was hard, who speak the language of a CFO, and who already use AI the way surgeons use instruments: not occasionally, not as an experiment, but as the default way they work. You'll be embedded in Ramp's largest, most strategic enterprise accounts, responsible for driving genuine workflow transformation — not just onboarding completion. What You'll Do - Lead enterprise customers through the full transformation journey — from implementation through agentic workflow adoption — with clear accountability for time-to-value and measurable business outcomes - Build and own the change management strategy for each account: map stakeholders, diagnose resistance, build internal coalitions, and drive adoption past the finish line - Quantify and communicate Ramp's impact in the language CFOs and Controllers care about — close cycle improvement, spend visibility, variance reduction, and ROI — not just product usage metrics - Run executive-level stakeholder management across multiple layers of a customer org, including C-suite relationships you own independently - Use AI tools daily to prepare for customer calls, build materials, synthesize data, identify account risk, and operate at a pace traditional methods can't match - Help customers understand and adopt Ramp's agentic finance capabilities — positioning new workflows not as features, but as fundamental changes to how their finance team operates - Partner with Account Executives and Technical Consulting to deliver seamless implementations and expand Ramp's footprint within accounts - Bring customer insight back to Product — surfacing patterns, gaps, and opportunities from your accounts to shape how Ramp evolves Must-Haves - Enterprise change management — You've driven workflow adoption inside complex organizations, navigated real resistance from real stakeholders, and have measurable results to show for it. Finance or fintech context is a plus but not required. - AI fluency as a daily habit — You already use AI tools habitually in your work. You use them to prep for calls, synthesize information, build customer-facing materials, and automate repetitive tasks. This is how you work, not something you're exploring. Ramp is a builder culture: if you don't instinctively reach for AI before doing things manually, this role will be a hard adjustment. - Financial impact communication — You can walk a CFO through the business case for a workflow change, connect implementation milestones to P&L outcomes, and run executive updates in financial terms, not product terms. A finance background is not required — fluency is. - Technical acumen — You can hold your own in conversations with Product and Engineering on integrations, APIs, and workflow architecture. You don't need to code, but credibility in technical conversations is what earns you a seat at the table with the full customer stakeholder group. - 7+ years in enterprise customer success or implementations — You’ve spent enough time navigating complex organizations and senior stakeholders that it’s second nature. You know how to move an enterprise, not just support one. Nice-to-Haves - Agentic workflow experience — You've helped customers adopt AI-powered or agentic workflows at scale. You understand what friction looks like in practice and what makes transformation actually stick. - Finance domain depth — Exposure to FP&A, accounting software ecosystems (Netsuite, Sage, QuickBooks, Xero), expense management, or CFO-adjacent workflows. Accelerates credibility with Ramp's customer base. - Demonstrated commercial impact — You can point to expansion, retention, or time-to-value outcomes with specific metrics attached — not described in general terms. - Background at an AI-first or AI transformation company — not just a company that uses AI, but one where rethinking workflows around it was part of the product or culture - High-growth or startup experience (comfort operating in ambiguity and rapid change) - C-suite relationships built and maintained independently, without relying on a sales counterpart For candidates located in NYC or SF, the pay range for this role is $198,000- $271,000. For candidates located in all other locations, the pay range for this role is $178,000- $244,000. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the Site Reliability Engineering Team The Site Reliability Engineering (SRE) team ensures the WorkOS platform remains fast, reliable, and resilient at scale. We build the systems and practices that keep everything running smoothly—handling hundreds of millions of requests, minimizing downtime, and continuously improving service performance. Our team works across the stack and collaborates closely with infrastructure and product engineering teams. We embed reliability into everything we do—whether it’s designing scalable systems, improving observability, or leading incident response. If you’re motivated by complex systems, passionate about uptime and performance, and excited to make reliability a first-class concern—this role offers the opportunity to make a lasting impact. Who we’re looking for We’re looking for engineers who are excited to improve the reliability of complex systems and enjoy digging into how things work. As an early member of the SRE team, you’ll help shape our approach to reliability at scale and collaborate closely across the company. You might be a great fit if you: - Bring a generalist mindset and are comfortable working across infrastructure layers—from compute and networking to storage, databases, and app runtime environments - Are curious and proactive, with a strong desire to understand systems end-to-end and uncover hidden failure modes - Care deeply about uptime, observability, and performance, and see reliability as a product feature - Think through architectural trade-offs with reliability, simplicity, and maintainability in mind - Take initiative, work independently, and follow through—from identifying reliability risks to driving improvements - Collaborate well with engineers across disciplines and enjoy supporting teams through production readiness, incident response, and postmortem reviews Responsibilities ✔️ - Design and evolve the systems, tooling, and processes that improve the reliability and performance of WorkOS - Collaborate with product and infrastructure teams to ensure services are production-ready, observable, and resilient to failure - Define and measure SLIs/SLOs to guide reliability improvements - Write and optimize backend systems (in TypeScript) with a focus on performance, maintainability, and graceful degradation - Improve our incident response process, lead postmortems, and drive follow-through on reliability risks - Develop internal tools and automations that make it easier to operate and scale our systems - Participate in our on-call rotation—responding to, resolving, and learning from production incidents - Contribute to design and architecture discussions with a focus on operability and long-term sustainability - Document systems, share learnings, and help grow a reliability-minded engineering culture Qualifications 🌟 - Based in PST/PDT timezone - Experience operating and scaling production systems in cloud environments (we use AWS) - Familiarity with service reliability concepts—monitoring, alerting, incident response, and root cause analysis - Comfort working across infrastructure layers (e.g. compute, networking, storage, observability tooling) - Strong debugging and systems thinking skills—you can follow problems across services and layers - Ability to work independently, take ownership, and drive projects from problem discovery through resolution Nice to have - Familiarity with Kubernetes or similar orchestration systems - Exposure to observability stacks (e.g. Prometheus, Grafana, Datadog, OpenTelemetry) - Exposure to TypeScript or interest in working in a TypeScript-based codebase Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: San Francisco; New York City Workplace: Hybrid About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We are seeking a Business Development Representative to join our sales team. As an outbound-focused BDR, you'll play a crucial role in WorkOS's growth by identifying, engaging, and qualifying prospects in the enterprise and mid-market segments. You'll be selling a developer-first product to technical buyers — and you'll use AI tooling to do it at a scale a traditional BDR can't match. Your primary goal will be to generate new opportunities through outbound outreach, research, and strategic engagement with target accounts. Responsibilities ✔️ - Creative Outbound Prospecting: Generate new leads through targeted outbound activities, including cold calls, emails, LinkedIn outreach, events and other channels. We are looking for resourcefulness and innovation crafting new outbound strategies. - AI-Powered Workflows: Use LLMs and AI tooling to research accounts, personalize outreach at scale, and automate the repetitive parts of the job. We expect you to build your own workflows — not just use the ones handed to you. - Account Research: Research and identify key prospects, decision-makers, and stakeholders within target accounts to tailor your outreach efforts. Understand what a company is actually building — their stack, their auth setup, their scaling problems. - Lead Qualification: Engage with prospects to understand their pain points, business needs, and how WorkOS can help solve their challenges, qualifying them for the sales team. - Pipeline Development: Set up high-quality meetings and demos for Account Executives by nurturing leads through the sales funnel. - CRM Hygiene: Diligently log all prospecting activities, conversations, and pipeline data in Salesforce (or other CRM systems) to maintain accurate records and forecast pipeline health. - Metrics-Driven: Meet and exceed monthly quotas for outbound activities, including the number of meetings set, emails sent, calls made, and qualified opportunities created. - Continuous Learning: Stay up-to-date on industry trends, WorkOS product developments, competitor offerings, and what's changing in AI and developer tooling — so you can position yourself as a trusted advisor to technical buyers. Qualifications 🌟 - Experience: 1-2 years of experience in a business development, sales development, or outbound sales role, preferably in SaaS or a technical product company - Target Personas: Experience outbounding to cofounders and CTOs - AI-Native: You already use AI tools daily and have opinions about them. You've built prompts, workflows, or automations that made you meaningfully faster — and you can walk us through exactly what you built and why. - Writing Skills: Able to independently craft messages and campaigns to technical leaders. You use AI to draft and scale, but you have the judgment to know when the output isn't good enough to send. - Communication Skills: Excellent verbal and written communication skills, with the ability to craft personalized messages that resonate with different audiences - Technical Aptitude: Comfort with understanding technical products and effectively communicating the value of WorkOS to both technical and non-technical stakeholders. Bonus if you can read API docs, poke at a codebase, or have shipped something yourself. - Tools: Experience with a modern sales stack (i.e. Salesforce, Gong, Loom, Outreach) and with AI tools like Claude, ChatGPT, or Clay - Curiosity & Adaptability: Willingness to learn, adapt quickly to new strategies, and stay curious about the industry and your prospects' needs - Self-Starter: Highly motivated, self-sufficient, and able to work in a remote environment while managing your time effectively - You are located in the greater San Francisco Bay Area, able to work locally, available for in-person meetings with clients and customers, and able to attend in-person events as needed. Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote The role We’re hiring a senior, hands-on Product Manager to join WooCommerce Payments and take ownership of a defined area within our payments products and partner integrations. You’ll collaborate closely with the Head of Product, and work day-to-day with engineering, design, support, and partnerships. This role is deeply executional. You’ll spend much of your time in the work: in Linear writing and refining issues, triaging bugs and incidents, reviewing and shaping flows in Figma, creating lightweight prototypes, and writing briefs or PRDs when they’re needed. Payments at WooCommerce run at a serious scale—billions in total payment volume—and the quality of this experience directly affects merchant revenue, shopper conversion, and the success of Woo’s commercial engine. This role sits right where reliability, trust, and execution matter most. What you’ll work on Own product direction and execution for a key part of the payments product area, with clear goals, priorities, and measurable outcomes. Improve merchant and shopper experiences across onboarding, checkout, refunds and disputes, payouts, reporting, and overall reliability. Raise the quality bar by reducing failures and friction, lowering support volume, and improving product ratings and merchant trust. Use data, support signals, and merchant feedback to decide what to work on next, define success measures, and make tradeoffs explicit. Work closely with priority payments partners (including Stripe and PayPal) to improve integrations, ship changes, manage dependencies, and resolve issues. Keep stakeholders aligned through clear, direct writing and communication about progress, risks, and decisions. What we’re looking for 7+ years in product roles, with senior IC experience owning complex problem spaces and influencing cross-functional teams through clarity of communication and precision of execution. 4+ years in payments or fintech, ideally on products operating at scale; experience with large or global launches is a plus. Strong product judgment. You can make good calls in messy situations and don’t need perfect information to move forward. Comfort working on critical, high-trust systems where reliability matters and small changes can have outsized impact. Ability to work deeply with engineers and designers on complex problems, including technical constraints and tradeoffs. Strong analytical habits and a practical approach to metrics, dashboards, and instrumentation. Clear written and verbal communication in a distributed, async environment. Familiarity with WooCommerce, WordPress , or open-source ecosystems is a plus. Salary range: $170,000-$240,000 USD. Please note that salary ranges are global, regardless of location, and we pay in local currency. We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated. We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our Benefits Page . And check out these links to learn more about How We Hire and What We Expect from Ourselves . #LI-Remote About Automattic Now in our 20th year , we’re the people behind WordPress.com , WooCommerce , Beeper , Tumblr , Simplenote , Jetpack , Longreads , Day One , PocketCasts , and more. We believe in making the web a better place. We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world. We believe in Open Source , and the vast majority of our work is available under the GPL . Automattic is a Most Loved Company , an Equal Opportunity employer, and Disability Confident Committed . ( Here’s what that might mean for you .) If you need accommodations during the application or interview process, please fill out this form . We are committed to ensuring an accessible hiring process for all candidates. Learn more about our Employee Resource Groups . You can track your application status and more at MyGreenhouse . To learn about how we handle your data, please review our Job Applicant & Candidate Privacy Notice and our Privacy Policy . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster here . Automattic participates in the E-Verify program in certain locations, as required by law .

Location: Toronto; San Francisco; New York; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. 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. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? Are you energized by building high-performance, scalable and reliable machine learning systems? Do you want to help define and build the next generation of AI platforms powering advanced NLP applications? We are looking for a Site Reliability Engineer to join the Model Serving team at Cohere. The team is responsible for developing, deploying, and operating the AI platform delivering Cohere's large language models through easy to use API endpoints. In this role, you will work closely with many teams to deploy optimized NLP models to production in low latency, high throughput, and high availability environments. You will also get the opportunity to interface with customers and create customized deployments to meet their specific needs. As a Site Reliability Engineer you will: - Build self-service systems that automate managing, deploying and operating services. - This includes our custom Kubernetes operators that support language model deployments. - Automate environment observability and resilience. Enable all developers to troubleshoot and resolve problems. - Take steps required to ensure we hit defined SLOs, including participation in an on-call rotation. - Build strong relationships with internal developers and influence the Infrastructure team’s roadmap based on their feedback. - Develop our team through knowledge sharing and an active review process. You may be a good fit if you have: - 5+ years of engineering experience running production infrastructure at a large scale - Experience designing large, highly available distributed systems with Kubernetes, and GPU workloads on those clusters - Experience with Kubernetes dev and production coding and support - Experience with GCP, Azure, AWS, OCI, multi-cloud on-prem / hybrid serving - Experience in designing, deploying, supporting, and troubleshooting in complex Linux-based computing environments - Experience in compute/storage/network resource and cost management - Excellent collaboration and troubleshooting skills to build mission-critical systems, and ensure smooth operations and efficient teamwork - The grit and adaptability to solve complex technical challenges that evolve day to day - Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or custom accelerators), especially how they influence latency and throughput of inference. - Strong understanding or working experience with distributed systems. - Experience in Golang, C++ or other languages designed for high-performance scalable servers). FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Stockholm ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience and interest in designing, building, and maintaining the novel, high-performance systems that make up our serverless platform. YOU MAY BE A FIT IF: - You have 5+ years of experience writing high-quality production code - You’ve built high-performance distributed systems at a large scale (the more battle scars, the better) - You have strong cloud skills - You have strong knowledge of low-level operating system foundations (Linux kernel, file systems, containers, etc.) - You have experience with performance engineering (tell us a story of when you shaved off a few milliseconds!) - You’re able to work in person in our Stockholm office - You’re able to participate in our on-call rotation and respond to production incidents NICE-TO-HAVE: - Prior experience with Rust

Location: San Francisco Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for strong backend engineers who love building developer tools used by the largest AI companies in the world. You’ll be building for things at scale, but also for new AI workflows that change every day. YOU MAY BE A FIT IF: - You’ve built and shipped modern web applications end-to-end - You’re comfortable working across the stack: TypeScript on the frontend, Python services on the backend, and ClickHouse for data and analytics - You have deep knowledge of observability tools and patterns used for large-scale workloads such as custom sandboxes and training and inference for large language models (LLMs) and diffusion models - You have experience with at least one of the following: billing/payments systems, B2B SaaS tooling, enterprise software, or LLM/diffusion model inference and training workloads - You have strong product instincts and think about customer problems, not just tickets - You’re able to participate in our on-call rotation and respond to production incidents - You make good tradeoffs between shipping fast and building for scale - You’re able to work in person in our NYC or SF office

Location: Shenzhen / Dongguan / Guangzhou / Foshan Workplace: onsite Ajax Systems is looking for an experienced Mechanical Engineer to join our team.   Ajax Systems is a developer and manufacturer of advanced security systems with smart home capabilities. We are a full-cycle product company from idea and engineering to mass production. Our portfolio includes 70+ devices that protect properties from intrusion, fire, and flooding, while also enabling smart control of electrical appliances.   Today, Ajax Systems protects over 2 million users in 169 countries worldwide and has received Europe’s highest security awards. We are proud to be a Ukrainian success story, a company driven by innovation, resilience, and strong engineering culture. Key Tasks: Complete lifecycle design of plastic enclosures and mechanical assemblies for consumer electronics. Development of DFM- and DFH-oriented solutions considering mass production processes (plastic injection molding, assembly, sealing, serviceability). Collaboration with hardware and embedded engineers, industrial designers, technologists, quality control, and manufacturing departments. Design of ergonomic, intuitive solutions adaptable to different operating environments. Preparation of production transfer documentation (2D drawings, specifications, technical requirements, 3D models for molds). Support of mold development and approval of modifications after initial mold trials (T0–T2), including defect analysis. Participation in testing and feedback from prototypes and production, incorporating design improvements. Verification of engineering compliance of the finished product with expected technical parameters (stiffness, assembly, weight, IP protection). Oversight of the product lifecycle from concept to mass production, including cost analysis and assessment of the impact of design decisions on production costs. Communication with Chinese factories: technical specifications, drawing reviews, change control, feedback on prototypes and production samples. Assessment of manufacturing risks in China: equipment limitations, mold quality, shrinkage, production tolerances, and the influence of packaging and logistics on design. Inspection of samples from China: defect analysis (shrinkage, warping, poor casting), initial product assembly, and reporting with recommendations. Consideration of potential scaling difficulties in China: timeline tracking, mold duplication, and price optimization. Continuous communication via email, video calls, document comments (in English), and participation in editing specifications based on feedback from the Chinese side. Technical Knowledge and Skills: 🧩 3D Modeling & Design: SolidWorks (95% solid modeling, 5% surface modeling), basic sheet metal modeling knowledge. Creation of precise assemblies, constraints, tolerance verification, and preparation of models for molding production. Ability to break down complex projects into sub-units, using reference geometry and configurations. 🏭 DFM / DFA / Manufacturing: Knowledge of mold design: opening directions, gating points, parting lines, risks of short shots/air pockets. Optimization for scalability and cost reduction (minimize part count, reduce weld lines, shorten cycle time). Experience working with factories in Ukraine and China; understanding of the mold lifecycle; participation in modifications after T1/T2. Basics of metal processing technologies: bending, stamping, laser cutting, milling for internal frames and auxiliary parts. Understanding of Chinese manufacturers’ practices: interpretation of drawings, overlooked details, confirmation processes. Understanding of the Chinese production structure: project managers, engineers, suppliers. Active participation in mold development discussions: steel selection, cost estimation, gating points, parting lines. Familiarity with typical Chinese documentation formats: PDFs, STEP files, Excel specifications, compressed archives, WeTransfer/Alibaba Cloud. 🧪 Testing & Prototyping: Manual inspection, assembly, and analysis of critical nodes. Identifying and resolving sealing, play, and fit issues. Skilled in the use of measuring tools: calipers, micrometers, gauges, etc. 🧠 Materials Science & Standards: Properties of ABS, PC, PC+ABS, PA+GF, TPE, and TPU: shrinkage, impact strength, heat resistance, and elasticity. Understanding material behavior during production and operation (temperature, humidity, UV). Balancing cost, quality, and manufacturability when selecting materials. ⚙️ Functional Elements: Development of fasteners, clips, guides, seals, TPE/TPU elements, and mounting slots. Design of interface elements: buttons, indicators, light guides, ports, and ventilation openings. Knowledge of sealing methods and IP protection standards (IP54–IP67), heat dissipation, and battery compartment design. Considering Chinese factory constraints: wall thickness, micro gaps, welding, and assembly limitations. Designing for high repairability and ease of assembly in outsourced Chinese facilities. 📄 Documentation & Production Support: Generation of complete documentation bundles: 2D outlines, tolerance tables, BOMs, assembly specifications. Implementation of changes based on prototype or production feedback. Participation in preparing technical descriptions for QC, assembly instructions, and design documentation control. 🌐 Communication & Tools: English B2+ level – oral and written technical communication with Chinese suppliers. Experience in communication with Chinese engineers, managers, and production teams (via Alibaba, WeChat, email, video calls). Knowledge of Chinese business communication nuances: importance of confirmations, repetitions, and visual examples. Use of SolidWorks PDM, Excel, Google Docs, Asana/Trello/Notion for project management.

Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ We’re looking for a Staff Backend Engineer with extensive experience in distributed systems, large-scale backend architecture, and high-volume storage systems. You will own systems end-to-end—from schema design and API architecture to deployment, observability, and operational excellence. The work is highly dynamic, and you will operate in a fast-paced environment where we continuously evolve the platform to support enormous growth in traffic, data, and global usage. You’ll collaborate across engineering, SRE, Product, and Design while acting as a technical leader who simplifies complexity, elevates engineering quality, and improves a globally critical developer platform. If you’re passionate about building and operating massive-scale distributed systems with huge data and throughput demands, this role is for you. RESPONSIBILITIES Distributed Systems & Backend Engineering - Architect, build, and operate high-scale distributed systems powering Docker Hub’s registry platform—spanning artifact storage, metadata services, indexing workflows, and performance-critical APIs. - Lead the design and implementation of backend services with a strong emphasis on scalability, correctness, resilience, and performance. - Drive major initiatives around multi-region replication, caching strategies, request-path optimization, and core registry reliability. Data Infrastructure & Storage - Design, optimize, operate the data and storage layers - for both Relational and NoSql as well as object storage and related technologies. - Develop schemas and data models to support high-throughput, large-volume workloads. - Own systems end-to-end—from storage-layer behavior to API design, deployment workflows, and production monitoring. Operations, Observability & Scale - Improve the performance and reliability of one of the world’s largest repositories of container images. - Develop and enhance observability through metrics, traces, alerting, and dashboards. - Lead improvements to deployment and operational tooling (e.g., Argo CD, GitHub Actions). - Participate in on-call rotations as part of supporting critical production services. Leadership & Collaboration - Mentor engineers and lead design and architecture reviews. - Partner with Product, Design, SRE, and Platform teams to deliver high-impact projects. - Engage with open-source communities, cloud-native partners, and the broader ecosystem. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS Required - 8+ years backend engineering experience with deep expertise in distributed systems and large-scale backend architectures. - Strong production experience with Golang, including designing and operating large Go-based services in cloud environments. - Strong production experience with Kubernetes, including operating services at scale. - Experience designing and running high-scale storage systems (PostgreSQL, DynamoDB, or equivalent) in production. - Experience building and operating cloud-based services (AWS preferred). - Experience with event-driven or streaming systems, such as Kafka, SNS/SQS, or equivalent. - Strong foundation in software engineering best practices: design documentation, testing strategies, CI/CD, code review, observability. - Comfortable functioning autonomously in a fully distributed, remote-first team and working effectively in a fast-paced environment. - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience Nice to Have - Experience with OCI registries, artifact stores, or large-scale content distribution systems. - Familiarity with search/indexing systems or metadata-rich architectures. - Contributions to cloud-native or open-source ecosystems. WHAT WE’RE LOOKING FOR - An engineer with deep experience in distributed systems and large-scale storage - Someone who thrives in a fast-paced environment and consistently optimizes for reliability, automation, and performance. - A technical leader who takes ownership of complex systems and drives long-term architectural direction. - An engineer energised by the challenges of operating a global developer platform at massive scale. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We’re looking for seasoned product designers to join our Growth & Monetization area—a cross-functional space that spans core product experiences like onboarding, account management, admin tooling, billing, and beyond. As a designer on this team, you’ll shape experiences that fuel Figma’s growth—from how users discover value to how organizations manage their accounts and scale over time. You’ll partner closely with cross-functional teams to design intuitive, high-impact solutions that balance user needs with business goals, and help customers expand their use of the Figma ecosystem. This role calls for a systems thinker and skilled visual designer who can move fluidly between strategy, storytelling, and execution. You’ll simplify complex workflows, contribute to product strategy, and design scalable systems that strengthen the relationship between users and Figma—always with a strong sense of craft and user advocacy. This opportunity applies to openings of varying seniority levels across our Monetization and Growth teams. We’ll discuss more specifics about open roles during the interview process. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Contribute to overall strategy and decision-making about product direction Help deliver and refine clear storytelling around product needs and opportunities Work cross-functionally with product management, engineering, design, and research peers Create and iterate on flows, prototypes, and high-fidelity visuals, as well as provide thoughtful feedback for others doing the same so you can all do your best work Design and ship high-quality product improvements Contribute to our design org’s culture by participating in design critiques, mentoring peers, and sharing best practices across teams We’d love to hear from you if you have: 3+ years of work experience designing UX and UI for a software product of similar scale and complexity Great attention to detail and a strong eye for visual craft, such as composition, typography, and layout Fluency in interaction design and prototyping, to express and refine nuanced design decisions A track record of independently driving design processes from discovery through launch—balancing user needs, technical constraints, and business goals The ability to guide decision-making with structured thinking, clearly articulated rationale, and user-centered research Experience designing for multiple user types (e.g., individual users, admins, buyers) or across product tiers Familiarity with experimentation, metrics, or using data to inform design decisions While it’s not required, it’s an added plus if you also have: Experience designing in growth, monetization, or enterprise environments A generative mindset and excitement for uncovering new opportunities across the product ecosystem At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $303,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Montevideo WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy projects while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The role: We are looking for a Linux Systems Engineer to keep critical Linux-based research and platform infrastructure reliable, secure, and efficient. This role supports production systems across Linux servers, Kubernetes platforms, scheduler-backed compute environments, and user access services. The engineer will troubleshoot incidents, automate operational work, improve observability, and partner with cross-functional teams to deliver stable infrastructure changes. Key Responsibilities: Operate and support Linux servers and shared infrastructure used by research and platform teams. Troubleshoot production issues involving system performance, availability, access, configuration, and networking. Support Kubernetes and other container-based platforms, including node health, service behavior, and rollout activities. Support scheduler-backed compute environments such as Slurm, including node readiness, maintenance, and incident recovery. Improve user-facing Linux access services such as SSH, shared shell environments, and session-based platforms. Manage OS lifecycle work: provisioning, patching, kernel and package updates, and hardening. Build scripts and automation in Python, Bash, or similar tools to reduce manual work and improve reliability. Use configuration management and version-controlled workflows to implement infrastructure changes safely. Enhance monitoring, alerting, documentation, and operational processes. Participate in incident response and occasional on-call support. Required Qualifications: 3+ years of experience in Linux systems engineering, SRE, DevOps, or infrastructure support. Strong Linux administration skills, including systemd, package management, permissions, filesystems, log analysis, and performance troubleshooting. Good understanding of networking fundamentals such as DNS, NTP/PTP, routing, and general host connectivity. Experience with automation, scripting, and operational tooling. Familiarity with Kubernetes, virtualization, or clustered platforms. Experience with configuration management or infrastructure-as-code tools such as Ansible, Salt, or Terraform. Ability to troubleshoot production issues methodically and communicate clearly during incidents. Experience with Git-based workflows and maintainable documentation. Preferred Qualifications: Experience with Slurm, HPC-style environments, GPU infrastructure, or researcher-facing Linux platforms. Working familiarity with shared storage clients such as NFS, autofs, or GPFS / IBM Storage Scale from a host and application perspective. Experience with observability tools such as Prometheus, Grafana, or equivalent platforms. Exposure to identity and access services such as LDAP, Kerberos, SSSD, or PAM. Exposure to on-premises datacenter operations, hardware lifecycle support, or vendor escalations. Interest in using AI/ML techniques for infrastructure optimization, anomaly detection, or predictive operations Working Style: Hands-on, practical problem solver with a strong ownership mindset. Comfortable working close to production and balancing support with continuous improvement. Collaborative communicator who works well across compute, storage, networking, and application teams. What We Offer: Competitive compensation package. Core benefits include: premium private health insurance. Strong culture of learning and development: training courses, guest speakers, share and learn events, etc. Regular team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams. Dynamic work without routine in a leading international company. #LI-VP1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.