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Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the native mobile experiences that bring agentic AI and search into people’s everyday lives. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have deep experience building exceptional mobile products: in the application, please highlight the mobile apps or platform experiences you are most proud of shipping. THE ROLE The Mobile Apps team owns the end-to-end Perplexity experience across iOS and Android. This includes how users discover and onboard into the product, search and take action on the go, use voice, camera, notifications, widgets, and other native capabilities, manage subscriptions and preferences, and return to ongoing work across devices. You will identify the highest-leverage mobile user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in mobile platform constraints and opportunities, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in how people use AI on mobile. - Envision new mobile experiences and deliver a long-term vision across iOS and Android. - Understand the levers for mobile product-led growth, engagement, and retention. - Work closely with engineering and design to align product expectations with native platform capabilities and constraints. - Work with research to evaluate and steer nondeterministic models into high-value outcomes for mobile users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of mobile user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable on small screens through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span iOS, Android, web, backend systems, or multiple teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience shipping and scaling high-quality consumer mobile products across iOS or Android. - Deep understanding of native mobile interaction patterns, platform capabilities, performance, and reliability. - Experience with rapid mobile prototyping, experimentation, and data visualization. - Experience building data-driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the foundational AI capabilities that make our products more powerful, extensible, collaborative, and useful. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and a willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion for turning frontier AI capabilities into coherent products: in the application, please highlight the AI systems, platforms, or workflows you are most interested in advancing. THE ROLE The AI Capabilities team owns the product structures that turn intelligence into repeatable, composable experiences. This includes Skills that teach Computer how to work, collaboration that helps people and agents build together, artifact generation that turns ideas into polished outputs, and Projects that organize context, knowledge, and ongoing work. You will take these capabilities to the next level by identifying the highest-leverage user and platform problems, translating them into clear product direction, and partnering closely with design, engineering, data science, and research to deliver experiences that feel powerful, understandable, extensible, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, fluency in agentic systems, and an exceptional ability to turn technical primitives into products people can use. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in reusable, composable AI capabilities. - Envision and deliver a long-term vision for Skills, collaboration, artifact generation, and Projects. - Understand the levers for capability discovery, adoption, reuse, sharing, and ecosystem growth. - Work closely with engineering and design to align product expectations with model, tool, and platform capabilities. - Work with research to evaluate and steer nondeterministic models, tools, and agents into high-value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of how individuals and teams create, customize, collaborate, and build repeatable workflows with AI. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, permissions, and well-designed feedback. - Drive alignment when capabilities span Computer, Search, Projects, artifacts, connectors, or multiple teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience building AI-native productivity, collaboration, platform, or developer-facing products. - Experience with agentic systems, tool use, evaluations, extensibility, or workflow orchestration. - Experience with rapid prototyping and designing systems that produce high-quality artifacts. - Experience building data-driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product Managers at Perplexity work closely with design and engineering, focusing on the core agentic and search experiences. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. THE ROLE The Core Experience team owns the foundational interactions that define how people use Perplexity every day. This includes how users begin and continue work, understand what the product is doing, navigate and find what they need, manage their context and preferences, collaborate with others, and return to ongoing work across platforms. You will identify the highest-leverage user problems, translate them into clear product direction, and partner closely with design, engineering, data science, and research to deliver experiences that feel fast, intuitive, cohesive, and dependable. This role requires strong product judgment, deep user empathy, analytical rigor, and an exceptional eye for detail. WHAT YOU'LL DO - Anticipate opportunities for innovation and value in enterprise industries. - Envision new experiences and deliver a long-term vision. - Understanding of levers for product-led growth and retention. - Work closely with engineering and design to align product expectations and capabilities. - Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. - Have conviction to make difficult product decisions in the face of uncertainty. - Develop a deep understanding of user needs, behaviors, and friction through direct product use, qualitative research, product data, and experimentation. - Make complex AI behavior understandable and controllable through clear interaction models, thoughtful defaults, and well-designed feedback. - Drive alignment when improvements span multiple product surfaces, platforms, or teams. - Communicate product decisions, tradeoffs, progress, and learnings clearly to leadership and cross-functional partners. QUALIFICATIONS - Strong experience with product management and leadership. - Strong experience working with data and metrics. - Experience with productivity and knowledge work products. - Experience with prototyping and data visualization. - Experience with building data driven flywheels for iterative improvement. - Thrives in a small, agile team: has initiative and desire for ownership. - 4+ years of product management experience. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: United States 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! ABOUT THE ROLE Cohere is seeking a Global Public Policy Manager to lead policy engagement on compute infrastructure, export controls, AI competitiveness, and sovereign AI strategies. Governments increasingly view AI as critical national infrastructure and are investing heavily in compute capacity, energy resources, and domestic AI ecosystems. This role will help position Cohere as a trusted partner in emerging discussions around AI infrastructure, national competitiveness, and sovereign AI deployment. KEY RESPONSIBILITIES - Monitor and analyze developments related to AI infrastructure, data centers, energy policy, semiconductor policy, export controls, and national AI strategies. - Develop policy positions on sovereign AI, compute access, digital sovereignty, and AI competitiveness. - Support engagement with governments developing AI infrastructure investment programs and national AI initiatives. - Collaborate with commercial, product, and corporate development teams on strategic opportunities involving public-private partnerships. - Represent Cohere in policy discussions related to AI infrastructure, energy requirements, and technology competitiveness. - Produce policy analysis and thought leadership on AI infrastructure and sovereign AI trends. QUALIFICATIONS - 5–7 years of experience in public policy, technology policy, trade policy, energy policy, national security policy, or related fields. - Strong understanding of geopolitical technology issues, AI infrastructure, export controls, or digital sovereignty. - Ability to assess emerging policy developments and identify strategic business implications. - Excellent analytical and stakeholder engagement skills. PREFERRED QUALIFICATIONS - Experience working on semiconductors, cloud infrastructure, energy policy, telecommunications, or national competitiveness issues. - Familiarity with government AI investment programs and international technology policy. 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: Remote Workplace: Remote PAYOR INTELLIGENCE SR. ANALYST COMPANY DESCRIPTION Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, "They'll be in touch soon." So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting. ROLE DESCRIPTION We're seeking a Payor Intelligence Analyst with deep knowledge of the U.S. payor landscape and a talent for turning fragmented, conflicting information into durable logic. Understanding how payors actually relate to one another, which entities own which plans, who delegates what, and which policy applies when, is work our entire product depends on. You'll build and own payor intelligence at Tennr as a zero-to-one function. The payor landscape is a massive, constantly shifting dataset: parent organizations, subsidiaries, TPAs, PBMs, Medicaid MCOs, Medicare Advantage plans, delegated UM vendors, acquisitions, and rebrands. Your job is to make it legible, building the taxonomies, hierarchies, and governance that let our models and teams reason correctly about it, and translating that reality into product requirements alongside engineering, clinical, and operations. If you've developed deep payer expertise inside a large organization, this is the rare seat with clear ownership and impact. RESPONSIBILITIES - Build and own payor entity mapping: the hierarchies, families, subsidiaries, TPAs, PBMs, and delegated relationships that define how coverage and authorization actually flow. - Source, interpret, and govern medical policies, coverage criteria, government guidance, and fee schedules, establishing effective dating, provenance, and version control. - Design the delegated-relationship logic behind prior authorization, determining which entity owns the decision for a given plan, product, and service. - Identify and track the clinical content sources our policies depend on, such as InterQual and NCCN, and own what we need to contract for and when. - Map prospect and customer payor data back to Tennr's payor model, turning a recurring manual effort into a repeatable system. - Embrace a founder's mindset, proactively driving projects from conception to completion, and contributing significantly to our company's growth and success. CANDIDATE QUALIFICATIONS - 5+ years working across the U.S. payor landscape, with real breadth across Medicare, Medicare Advantage, Medicaid and MCOs, and commercial lines of business. - Fluency in payor structure: payor families, subsidiaries, TPAs, PBMs, delegated entities, regional versus national plans, and self-funded versus fully insured arrangements. - Experience researching and interpreting payor policies, government guidance, fee schedules, or clinical guidelines, including reconciling sources that disagree with each other. - A track record of building taxonomies, frameworks, databases, or mapping systems that other people rely on, not just answering questions as they come in. - Exceptional analytical and pattern-recognition skills, with the investigative instinct to work productively from ambiguous and incomplete information. - Self-directed ownership of a domain end to end, without predefined process or constant validation. - Outstanding communication skills, capable of articulating complex payor concepts to a diverse audience. - Familiarity with SQL or comparable data tooling is a plus. WHY TENNR? - Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won't just talk about things, you'll get them done. And feel the impact. - Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure - Innovate with Purpose: we're not just doing this for fun (although we do have a lot of fun). At Tennr, you'll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system. - Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office (travel to office on quarterly basis) BENEFITS - Remote Flexibility - Unlimited PTO - 100% paid employee health benefit options - Employer funded 401(k) match - Competitive parental leave

Location: San Francisco; New York City Perplexity is looking for a technical program manager to be the connective tissue between our model providers, engineering, and product teams, driving our core inference platform forward. Perplexity runs one of the highest-throughput inference stacks in the industry, serving Ask, Computer, and API traffic across a large and constantly shifting portfolio of first-party and third-party models. This role sits at the intersection of product, engineering, and finance: you'll orchestrate across model providers and internal teams to keep new models and capacity moving smoothly into production, while executing the roadmap for the inference platform itself. The ideal candidate has strong technical judgment, thrives coordinating across teams and external partners with competing timelines, and is energized by building the operating model for a function that doesn't have much precedent yet. OUR MISSION Perplexity's mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they've learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. WHAT YOU'LL DO - Execute the roadmap for the inference platform request handling, rate limits and quotas, usage controls, and the reliability and observability surface engineering and product teams depend on - Be the connective tissue between model providers and Perplexity's engineering and product teams coordinating onboarding, launch readiness, and rollout for new models and capacity - Drive latency, throughput, uptime, and cost-efficiency as core execution metrics, surfacing tradeoffs between them rather than letting them become side effects - Run the operating model for model-release and optimization programs, including day-zero launches, across performance engineering, infrastructure, and product teams - Lead cross-functional delivery for inference-stack changes, from planning through launch and post-launch validation - Build the mechanisms that make releases predictable rituals, dashboards, launch checklists so inference releases stay low-risk at Perplexity's scale - Partner with GPU capacity and compute teams to reconcile execution decisions against cost, capacity, and vendor constraints QUALIFICATIONS - Strong experience with technical program management or product management in infrastructure, distributed systems, or ML/model-serving products - Direct experience with production LLM or ML inference understanding what makes serving fast, reliable, and cheap rather than just what a roadmap slide says about it - Comfort orchestrating across external partners and internal engineering teams with competing priorities and timelines - Experience with data and metrics, and the judgment to surface difficult tradeoffs between latency, throughput, uptime, and cost - Thrives in a small, agile team; has initiative and desire for ownership without much precedent to lean on - 6+ years of combined technical program management or product management experience

Location: United States (Remote) Workplace: Remote ABOUT ONEPAY OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: - Ready to run - Hungry and driven by urgency - Exceptional at what they do, with low ego - Comfortable operating in motion THE ROLE As an Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation! You will: - Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams. - Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings. - Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction. YOU BRING - 7+ years of experience building and productionizing ML/AI models that deliver measurable business impact. - Experience building and productionizing LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization). - A strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field. - Fluency in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment. - Drive and proactivity – everyone here is a builder and executor. WHAT WE OFFER - Competitive base salary, stock options, and health benefits from Day 1 - 401(k) plan with company match - Remote-friendly (US), flexible time off (FTO), and opportunities for growth - A high-growth, mission-driven, inclusive culture where your work has real impact STANDARD INTERVIEW PROCESS - Initial Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! STANDARD INTERVIEW PROCESS Our process varies by role. Most candidates go through: - AI-assisted initial screen - Interview with Talent Partner - Technical or Hiring Manager Interview - Team Interview - Executive Interview - Offer! EQUAL EMPLOYMENT OPPORTUNITY To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.

Location: Mississauga Workplace: hybrid At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. PointClickCare is searching for a Principal AI Engineer who will lead and design AI systems across multiple SaaS solutions following our AI Design Patterns, defining technical standards and reusable patterns for reasoning, tool use, and coordinated action. This role will be part of a team which drives enterprise-wide AI enablement by defining strategy, evangelizing adoption, and delivering measurable business impact. It identifies and prioritizes high-value AI use cases, builds scalable AI solutions, and creates playbooks and patterns to accelerate implementation. Through innovation hubs and close collaboration with product, engineering, and operations, the team transforms prototypes into production-ready solutions. Additionally, it invests in talent development, equipping teams with the skills and tools to embed AI across the organization and leads governance of AI solutions across the organization.      To succeed as a Principal AI Engineer at PointClickCare, you need to be highly innovative, creative, accountable, collaborative, and passionate. The Principal AI Engineer partners with cross-functional teams to transition prototypes into secure, observable production solutions and establish playbooks, evaluation frameworks, and platform components to accelerate adoption. Additionally, the Principal AI Engineer mentors' teams and ensures alignment with Responsible AI, security, and regulatory requirements.    Responsibilities    - Set the technical vision and reference architecture for agentic AI across applications defining org-wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.   - Build and govern reusable platform components—model broker & multi-model routing, orchestration services, evaluation harnesses, prompt/versioning stores, and telemetry—to accelerate adoption across teams.   - Develop and refine advanced prompting strategies for LLMs.    - Drive cross-functional roadmaps and integration standards across  business teams—setting API/versioning contracts, optimizing LLM/agent cost performance, and mentoring engineers to raise the bar.   - Establish and evolve evaluation frameworks for LLMs and agentic systems, including offline and online testing methodologies, safety assessments, quality metrics, and business outcome dashboards. - Be the go-to Subject Matter Expert (SME) and internal AI expert for relevant enterprise applications, senior leadership, vendors, business partners and internal team members while staying ahead of emerging trends and advising on best practices  - Identify, prioritize and execute AI use cases with clear business outcomes  - Be a coach/mentor for other engineers on AI maturity, including performing peer reviews, leading technical knowledge sharing sessions, establishing engineering best practices, approving pull requests and improving the overall quality of the technical solution      Qualifications we are looking for:  Proven leadership shipping agentic AI at scale across multiple products, setting organization wide standards for reasoning loops, tool use/function calling, memory, safety, and interoperability.  Must Have - Expertise & Hands-on experience in Agentic AI Tech stack primarily in Microsoft (Azure AI Foundry, Azure OpenAI, and Azure AI Document Intelligence) and Anthropic (Claude Cowork and Claude Code).  Must Have - Advanced Python & Java expertise in production systems (testing, packaging, performance profiling) and deep experience extending agent frameworks such as Anthropic, LangChain, and Foundry.  RAG/agent data pipeline expertise: document preprocessing (OCR/NER), chunking strategies, embeddings, vector stores, and data quality/versioning—with evaluation of harnesses for quality, cost, and latency  Extensive knowledge and understanding of enabling and maturing AI in a SaaS landscape.  Model serving and cost/perf optimization: experience with model broker patterns, multi-model routing, and serving stacks  Must Have - knowledge of relational databases (e.g. Microsoft SQL Server, PostgreSQL) Experience using system and performance monitoring tools (e.g. AppDynamics, Kibana, OpenTelemetry) BSc/BA in Computer Science or a related degree   Bonus points for: ·       Experience with Docker, Kubernetes and Istio ·       Experience with AWS/Azure cloud services or equivalent ·       Experience with Service Oriented Architecture  ·       On-call experience with production grade systems   #LI-AV1 #LI-Hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $191,700-213,000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.

Location: Limassol, Cyprus Workplace: hybrid Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. Now we look for a Data Scientist to join our ML team Job Responsibilities Machine Learning & Modeling • Develop and train machine learning models for prediction, classification. • Build and evaluate regression, classification, clustering, and time-series models. • Design feature engineering pipelines and data preprocessing workflows. • Evaluate model performance, robustness, and production readiness. • Deploy and maintain ML models in collaboration with ml-ops teams. Data Analysis & Exploration • Explore large datasets to identify patterns, trends, and hidden relationships. • Perform statistical analysis and hypothesis testing. • Distillate open-source datasets by proprietary data via LLM agents • Detect anomalies, outliers, and unexpected metric movements. • Translate business or product questions into analytical tasks. Data Pipelines & Infrastructure • Work with data pipelines and streaming data systems. • Process and transform large datasets using Python and SQL. • Work with event streams and messaging systems (Kafka). • Contribute to data quality monitoring and dataset validation. • Work with analytical databases and data warehouses. Model Monitoring & Experimentation • Design experiments and evaluate model performance in real environments. • Implement monitoring for model performance and data drift. • Support A/B testing and experimentation frameworks. • Improve models based on production feedback and metrics. Cross‑Functional Collaboration • Work closely with ML engineers, data engineers, and product teams. • Communicate model results and analytical insights clearly. • Contribute to the development of ML best practices within the team. You’ll thrive here if you have • Strong Python programming skills for data science and machine learning. • Experience working in Jupyter / Python notebooks for experimentation and analysis. • Strong experience with pandas and numerical data processing . • Experience with SQL databases and complex analytical queries. • Experience working with ClickHouse or other analytical columnar databases. • Experience working with Kafka or other streaming data platforms . • Experience building and evaluating machine learning models using libraries such as scikit‑learn, XGBoost, LightGBM, or similar . • Understanding of statistics, probability, and experimental design . • Experience working with large datasets and data preprocessing pipelines. Nice to Have • Experience with deep learning frameworks (PyTorch or TensorFlow). • Experience deploying ML models to production environments. • Experience working with Computer Vision models (OpenCV, CNNs, object detection frameworks). • Experience with distributed data processing or large-scale ML systems. • Familiarity with ML monitoring, experiment tracking, and model versioning tools. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR interview (40 min); Technical interview (1.5 hour); Final interview (60 min).

Location: United Kingdom; United States; New York; Poland; London; San Francisco; Canada Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. THE ROLE ElevenLabs is scaling globally at extraordinary speed, growing from 400 to 1,000+ by the end of 2026. We operate across 46+ countries, with a highly distributed workforce spanning researchers, engineers, GTM teams, operators, creatives, and frontier AI specialists. Compensation and total rewards are core to how we attract and retain the best builders in the world. This environment is inherently complex. Different regulatory frameworks. Different talent markets. Different role archetypes. High volatility in frontier AI compensation benchmarks. That complexity is not a constraint, it’s the challenge. We are looking for someone to own and evolve our global compensation and total rewards strategy, designing systems that are competitive in frontier AI markets, internally consistent, globally scalable, and built for long-term sustainability. You will operate as the single point of accountability for compensation architecture across the company, partnering closely with Operations, Legal and Finance. If you’re energized by solving hard global compensation problems, building clarity across diverse markets, and designing systems that scale globally without slowing the company down, this role is for you. KEY RESPONSIBILITIES COMPENSATION STRATEGY & PHILOSOPHY - Own and continuously refine ElevenLabs’ global compensation philosophy. - Ensure pay, equity, and incentives reinforce attraction, retention, and performance. - Balance market competitiveness with internal equity and financial discipline. - Serve as a trusted advisor on complex, high-impact compensation decisions. JOB ARCHITECTURE & LEVELING - Design systems that introduce rigor without slowing the company down. - Evolve our structure intentionally to match our scale: mature enough to support 46+ countries and a diverse set of roles, but not over-engineered or bureaucratic. - Drive clarity and consistency in job architecture, leveling frameworks, and compensation bands globally. EQUITY & LONG-TERM INCENTIVES - Design equity programs that reflect a core ElevenLabs belief: employees should be genuine owners in the company and invested in our long-term ambition. - Own our equity philosophy, structure, and grant strategy. - Partner with Finance and Legal on equity design, refresh cycles, and promotion grants. COMPENSATION CYCLES & GOVERNANCE - Assist annual compensation reviews end-to-end. - Design clear off-cycle governance and decision frameworks. - Build calibration rigor and tooling that scales globally. - Introduce AI-enabled workflows where appropriate to improve speed and consistency. - Act as the final escalation point for leveling and pay consistency decisions. BENEFITS & TOTAL REWARDS - Own global benefits strategy across a distributed workforce. - Balance standardisation with regional relevance. - Ensure benefits are competitive in frontier talent markets while remaining operationally scalable. WHAT WE’RE LOOKING FOR EXPERIENCE - 5+ years in Compensation or Total Rewards, ideally in high-growth technology companies that operate across multiple countries - Ownership of equity programs - Strong track record of building compensation systems that scale - Experience designing and evolving job architectures and leveling systems - Experience operating in fast-scaling, ambiguous environments SKILLS & ATTRIBUTES - First-principles thinker: approach problems without bias - Hands-on builder: comfortable designing systems from scratch - Strong analytical skills: the ability to translate data into clear, strategic recommendations - Comfortable partnering with senior leaders and influencing decisions in complex, fast-moving environments - Excellent communication skills - High standards and high ownership We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: United Kingdom Workplace: Remote We are looking for a Senior Solutions Engineer to join our Sales Engineering team. You will partner with Account Executives to qualify, progress, and close revenue opportunities with Fortune 500 prospects — guiding them through demos, architecture discussions, and proofs-of-concept that prove Coder’s value for both human developers and the AI coding agents working alongside them. This is not a scripted-demo-only role. You are equally comfortable running a deep technical proof-of-concept and stepping back to translate a technical win into a business case an economic buyer will act on. You are energized by ambiguity, motivated by winning deals the right way, and capable of bringing the voice of the prospect back into how Coder builds and sells.   What you will be doing: - Own the technical relationship with prospects through pre-sales, and efficiently manage towards a technical win - Demo the Coder platform from the developer, administrator, and AI agent workflow perspectives - Install Coder on cloud and on-prem Kubernetes or VM infrastructure - Run proofs-of-concept that prove Coder’s value including for agentic and LLM-powered development workflows and accelerate deals - Evolve into a subject-matter expert on Cloud Development Environments, agentic AI development, and their business impact - Serve as the prospect’s and customer’s voice, routing insights to Engineering and Product - Track and report product issues and feature requests using Linear - Troubleshoot Coder deployments, networking, and Kubernetes components during evaluation - Contribute pull requests to Coder’s documentation   What you bring: - Minimum 5 years of experience as a Solutions Engineer selling infrastructure or developer tooling - Strong customer-facing skills that win trust with technical stakeholders - Ability to translate technical hurdles into business value in real time - Understand agentic AI software development use cases and advocate passionately where appropriate - Comfortable leading architecture demos and deep-dive troubleshooting sessions - Deep Linux fundamentals and comfort at the command line - 3+ years hands-on with Docker and Kubernetes - Experience with AWS, Google Cloud, or Microsoft Azure - 3+ years with Terraform or comparable infrastructure-as-code tooling - Solid grasp of networking: ingress controllers, proxies, load balancers - Experience with AI tooling at both the user level and infrastructure level (e.g. Claude Code, GitHub Copilot, Cursor) as well as LLM infrastructure such as model proxies and LLM routing layers (e.g. LiteLLM) and the ability to speak credibly to how enterprises evaluate and adopt them - Startup-speed execution, ownership mindset, and a player-coach attitude   Bonus tacos if you have - (Tacos? If you need an ice-breaker, ask how we say thanks by giving tacos!) - Success at both high-growth startups and larger software vendors - Direct experience deploying or supporting AI coding agents in customer environments (e.g. Claude Code, Devin, or similar autonomous/semi-autonomous dev tools) - Background in CI/CD, DevOps, or developer-platform products - Experience in platform engineering or developer platform teams - Kubernetes, AWS, or related certifications ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Who we are At OneSoil, we’re building tools that empower farmers and agribusinesses worldwide. Our mobile and web apps help monitor fields, optimize inputs, and increase yields using satellite imagery and proprietary AI models. OneSoil is headquartered in Zurich, with offices in Poland, Ukraine, and Cyprus. Our technology is used across 4% of the world’s cropland. This year, we became the first company to launch an AI Agronomist globally. What You’ll Do Lead and grow a product-focused backend team. Hire, mentor, and develop engineers to reach their full potential. Shape the technical vision and architecture of our backend systems, ensuring scalability, security, and high availability. Drive the delivery of backend features in collaboration with product managers, designers, and AI/ML engineers. Foster a culture of technical excellence and ownership within the team. Build products that leverage modern AI models to deliver value to farmers worldwide. Improve development processes and team workflows to ensure consistent and timely delivery. Act as a hands-on technical leader: design and review solutions, unblock the team, and contribute to critical code when needed. You’re a Great Fit If You Have 5+ years of backend development experience, with strong Python expertise. Experience leading and scaling a product engineering team. Strong expertise in Python 3.12+, Django 4+, Django REST Framework, Celery, pytest, Redis, PostgreSQL, Docker, RabbitMQ, and AWS. Familiarity with FastAPI and Kubernetes. Bonus points for experience with PostGIS, Helm, or ArgoCD. A track record of building and shipping scalable SaaS products. A solid understanding of Agile methodologies and the ability to align engineering with product goals. A passion for mentoring engineers and building healthy, high-performing teams. Curiosity and excitement about AI/ML-driven products. Proficiency in Ukrainian is a plus. What We Offer A distributed international team with the flexibility to work from anywhere. A product that is changing how agriculture works and creating value for farmers worldwide. A key role in defining our technical and team strategy as we scale.

Location: Toronto Workplace: Hybrid 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! ROLE OVERVIEW: As a Business Development Representative (BDR) at Cohere, you will drive revenue growth by identifying, qualifying, and nurturing high-potential leads for our enterprise AI solutions. You’ll act as the first point of contact for prospects, understanding their business needs and aligning them with Cohere’s products to solve complex challenges like natural language processing, AI integration, and scalable language models. You’ll also have the opportunity to sell cutting-edge IP, that is being newly productised, within your own book of business.   KEY RESPONSIBILITIES: - Proactively research and identify target accounts across region in industries such as finance, technology, manufacturing, healthcare, public sector, etc. using tools like LinkedIn Sales Navigator and CRM platforms to prioritise high-fit prospects. - Conduct 40+ outbound calls and personalised emails daily to engage decision-makers (e.g., CTOs, CIOs, and Business Unit leads), focusing on understanding their pain points and demonstrating how Cohere’s AI solutions can address them. - Qualify leads using the BANT framework (Budget, Authority, Need, Timeline) and document interactions in Salesforce, ensuring a clean and actionable pipeline for the sales team. - Collaborate with marketing to refine messaging and campaigns based on prospect feedback, contributing to a 15%+ improvement in campaign response rates. - Stay updated on industry trends, competitor offerings, and Cohere’s product roadmap to position our solutions effectively and anticipate customer needs. - Run independent sales cycles on smaller opportunities with less overhead, from intro to close. QUALIFICATIONS: - 2+ years of experience in business development, sales, or a related role, with a proven track record of exceeding lead generation targets in a SaaS or tech environment. - Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and build rapport quickly over phone and email. - Familiarity with CRM tools (e.g., Salesforce, HubSpot) and sales enablement platforms, with the ability to analyse data to optimize outreach strategies. - Experience in AI, machine learning, or enterprise software sales, with a basic understanding of natural language processing (NLP) concepts. - Closing experience is seen as an advantage. - A builder mindset is necessary to succeed here, the challenges will be unique based on the team you’ll be working with, and the role will evolve over time. 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: Maputo/Nampula, Mozambique About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress. How we work Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated: Recipients first. Recipients’ preferences come before those of donors or ourselves. Team next. We optimize for organizational success, not individual success. Be proactively candid. We say what we believe and share information openly. Create positive energy. We aim to be a source of energy for colleagues, not a drain. Think rigorously; act quickly. We reason from first principles, then act rather than debate. Know yourself and grow. We own our imperfections and seek feedback to grow. Accept reality. Propose solutions. We focus on what can change and bring solutions, not just problems. Be productively ambitious. We take risks for step-change impact, not incremental progress. If they describe how you like to work and they energize you, this could be a great fit. Want to learn more? Read and listen: We are one of Time100’s Most Influential Companies of 2026, and our work has been covered by The Economist , NPR , TED , and The Washington Post . We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows. Read our CEO's essay on what that will take. About this role The Risk Management Program Manager is responsible for preventing, detecting, mitigating and investigating the field-based risks associated with delivering millions of dollars to thousands of poor households across a portfolio of countries. The Program Manager (PM) will work with the Internal Audit Director and the wider Internal Audit team to design innovations to manage the risks associated with cash transfers. Reports to: Director, Internal Audit Level : Manager Location: Remote - Maputo/Nampula, Mozambique with a requirement to overlap with an East Africa timezone by at least 3 hours. Role Summary Supports overall Global Internal Audit (IA) strategy. Overall risk manager for the countries in their portfolio. In partnership with the Country Director (CD), lead the development of the country IA strategy. Supports on all project design at all stages (project inception, proposal creation, project design, risk register creation, ongoing project risk management, project closure). Leads (or where relevant, delegates) all country syncs with CD. HR oversight (not direct management) for all countries in their portfolio. Takes direct lead on certain, more sensitive and high risk investigations in portfolio (as determined by CD and IAD). Manages Internal Audit for each country in their portfolio Manages Internal Audit Manager (IAM) directly. Supports admin oversight and procurement for the IA team in country (ensuring docs are in order etc). Carries out regular spot checks on country operations and ensures IAM is doing their checks and documenting them. Seeks to develop and analyze data we have but also look for new ways to spot and reduce fraud. Visible point of contact for country team and part of country management team where relevant. Leads coordination with other internal teams (such as Safeguarding, Programs, and Tech) as well as external partners, such as Telcos where needed. Visits each country in portfolio at least 1x per year for field visits. Roles and responsibilities: Project Design (25%) Represent IA in country project design conversations, including development of strategic risk management measures. Owning development of project-specific Internal Audit proposals detailing audit rates, audit approaches, e.t.c. for new projects and discussing these with CD. Oversee community risk scoping exercises and ensure full scoping report is submitted to IAD and CDs for all new projects. Ensure that customized risk registers are created for all new projects; ensure that risk registers for ongoing projects are updated regularly. Review implementation tools, e.g. enrollment surveys, to better align them to risk detection, mitigation and prevention. Systems Orientated risk monitoring (45%) Owning and monitoring IA metrics / KPIs in countries of portfolio and owning correction of dropping or critically missed metrics. Overall owner (accountable) of country project workbooks detailing workplans and staffing, tech related requirements and activity timelines. Define and review risk classifications based on projects and country level activities. Hold weekly (or bi-weekly) meetings with Country Directors in each country you are assigned. Lead the development of escalation protocols for different types of risks and monitor implementation of the protocols by country managers. Lead the transparent, accountable and where needed collaborative investigation of high risk cases. Support the IAM to undertake community based fraud intelligence monitoring exercises and escalate any identified risk trends to the CD and IAD. Monitor the traffic and trends of risk reporting and flag high risk countries and projects to the CD and IAD. Support the IAD with tech-related fraud prevention innovations work through different inputs as may be requested from time to time. Where relevant, build in-country relationships with fraud management stakeholders (for example, MoMo provider telcos) for sustainable fraud resolutions in-country. Conduct spot checks on both the programs and IA operations to ensure high quality and identify any abnormalities. Build and manage in-country project related stakeholder relationships; working with different in-country teams to ensure IA deliverables are tracked as per workplan. Write and share with the IA - Director, quarterly productivity reports and/or project specific retrospectives (or progress reports). People Management (10%) Directly manages Internal Audit Managers in all countries you are assigned. Conduct regular check-ins with Direct Reports. Conduct performance reviews for direct reports every quarter and provide a report of the same to the IA-Director and CD where relevant. Indirectly support the AFMs and FOs in the countries you are assigned. Develop a team with a high capacity for problem solving, critical thinking, and strong analytical and communication skill. Conduct regular skip-level meetings with AFMs. Hiring: Directly responsible for hiring IAMs in the countries you are assigned. Create a strong overall team Manage conflicts and other risks within the team and escalate where appropriate. Promote effective team culture by encouraging recognition of positive achievements and other team-building initiatives. Model ethical behavior that encourages the team to report misconduct within GD staff, partners, community and recipients. Conduct staff career growth needs assessments (through structures surveys and 1:1 sessions) and liaise with the HR manager to deliver robust professional development sessions internally and externally. Culture Building (10%) Act as the custodian of ‘Recipients First’ Value within the team by ensuring compliance to policies and protocols of GiveDirectly. Maintain an active, visible and consistent commitment to a common standard of behavior that is required throughout every aspect of the organization as stipulated in the Code of Conduct Statement. Manage a team that is driven by individual accountability involving moving beyond corporate ‘rules-based’ behavior to ‘values-based’ behavior that promotes a greater focus on promoting individual integrity.” Identify sub-cultures within the organization that may result in safeguarding and fraud risks to recipients. Conduct annual training to country Programs teams on fraud and safeguarding mitigation requirements as outlined in GD policies. Other responsibilities (10%) Supports Director on reflecting on and rethinking the Global IA strategy and mandate. Supports Director on utilizing AI and technology to improve GD’s fraud risk management systems. Participates in weekly IA management meetings and weekly sprints to discuss cross-team activities. Support on country external audits where requested. Support on non-field based fraud management on an as-needed basis in your countries of operation. Proactively identify and flag ways to improve the efficiency and effectiveness of IA’s operations. Support other country of operations outside of portfolio where necessary. What you’ll bring: Internal audit / risk management background - 3+ years leading audit, compliance, or risk functions, ideally in a role that combined strategy design with hands-on fieldwork (not just desk audits). Fraud investigation experience - has personally led or overseen sensitive/high-risk investigations, not just routine checks. People management - directly managed a team, including hiring, performance reviews, and conflict management. Cross-country or multi-site portfolio experience - managed risk/audit across several countries or regional units simultaneously, since this role owns a country portfolio. Field-based operations exposure - comfortable with in-person field visits (at least 1x/year per country) in low-resource or humanitarian/development settings, not purely office-based audit work. Stakeholder management - experience liaising with external partners and internal cross-functional teams (Safeguarding, Programs, Tech). Data/analytics fluency - experience using data to detect fraud trends, build KPIs/metrics, and monitor risk reporting, plus openness to AI/tech-driven fraud prevention tools. Program/project design experience - has contributed to project design, risk registers, and proposal creation, ideally in an NGO, cash-transfer, or development-sector context. Report writing at a senior level - track record producing strategy documents, quarterly reports, and retrospectives for leadership. Fluency in both English and Portuguese. Alignment with GiveDirectly Values and active demonstration of our core competencies: emotional intelligence, problem solving, project management, follow-through, and fostering inclusivity. Why work at GiveDirectly? At GiveDirectly, we work to ensure that you have everything you need to excel in your role and on your team, including: A positive and supportive team with opportunities for advancement A demonstrated commitment to helping all staff develop and grow A competitive salary, including bonus A robust health benefits plan (exact details will vary by country) Unlimited PTO (that we encourage staff to take!) Read more about our ongoing diversity, equity, and inclusion efforts here and about our decision to move our central support teams to remote first here . Compensation At GiveDirectly, we strive to pay our employees generously and equitably. We use an accredited third party salary aggregator to calculate what we believe to be competitive pay based on role, location, and cost of living. We also have a no negotiation policy to ensure we are paying staff equitably across roles. Read more about our compensation philosophy here . Unless otherwise noted, the benefits stipend may be used to cover benefits or taken as additional taxable income. Base Salary: $67,400 Bonus at Target Performance: 10% (~$6,740 with potential for upside. For reference, with the organization’s current performance multiplier, this amount would be $7,886 in 2025) Estimated Total Compensation at Target: $74,140+ #LI-REMOTE Working at GiveDirectly GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Flagging for US applicants: We invite you to " Know Your Rights " as an applicant. Commitment to Safeguarding As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the Misconduct Disclosure Scheme , and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens. These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff. **GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing,  reporting, or responding to any form of abuse or  exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.** Reasonable Accommodations We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs. Want to put your best foot forward on your GiveDirectly application? Take a look at our Candidate Application Prep Guide ! Referrals Know the right person for this role? Please consider referring them . We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!

Location: Berlin Workplace: Hybrid Internship Program Berlin Internship program: 12 - 24 weeks, full-time, in-person in the Berlin office. Responsibilities - Relentlessly push search quality forward — through models, data, tools, or any other leverage available. - Train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models. - Conduct research in representation learning, including contrastive learning, multilingual, evaluation, and multimodal modeling for search and retrieval. - Build and optimize RAG pipelines for grounding and answer generation. Qualifications - Understanding of search and retrieval systems, including quality evaluation principles and metrics. - Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models. - Interested in representation learning, including contrastive learning, dense & sparse vector representations, representation fusion, cross-lingual representation alignment, training data optimization and robust evaluation. - Publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGIR).

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is looking for an experienced analyst to help us build and improve our core search technologies. You'll work at the intersection of data analysis and engineering - designing metrics, building data pipelines, and improving the quality of our search and answer systems. This role is hybrid in Belgrade, London or Berlin. Responsibilities - Find and diagnose quality issues in our search pipeline - Design metrics from scratch to track and measure search quality - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve search snippet quality and page selection algorithms for indexing - Design and analyze A/B experiments to validate improvements Qualifications - 4+ years of experience as a data analyst or in a related role - Strong coding skills — expected to write production-grade code at a mid-level backend engineer level - Proficiency with SQL and Python - Demonstrated hands-on experience with at least one of the following: - Designing metrics from scratch (not just analyzing existing A/B experiments) - Building labeling pipelines using LLM-as-a-judge - Training ML models that shipped to production with measurable metric improvements - Designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals Nice to have - Experience working on search-related products - Knowledge of statistics and A/B experiment design - Experience with Apache Spark or Databricks

Location: Americas; EMEA Workplace: Remote RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile. We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue. We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading. THE ROLE RevenueCat helps app developers manage subscriptions and make more money from them. Maybe you're an indie developer who doesn’t know what "conversion" even means, you just want your app to make money so you can keep building it. Or maybe you're a growth specialist at a company doing millions a month, and pricing experiments are already your whole job. Either way, you probably didn't get into this to spend your days staring at a dashboard. So we built two AI agents to do that work for you, or make you even sharper at it if you're already a pro. Enter Rico. Rico watches over your subscription business and can help you make sense of it, and act on what it finds. Say your revenue dropped last week. You don't need to go digging through charts to find out why. Just ask Rico. It pulls the data, explains what happened in plain language, and shows you how you compare to similar apps. Then it can fix things itself, like setting up a new plan or restoring a customer's access, with you approving the change before it goes live. Run a pricing experiment and Rico will read the results for you and tell you which version is winning. There are so many things we want Rico to be able to do! Then there's our AI Paywall Editor, a specialized agent to build and edit paywalls, the screen that asks someone to subscribe. Most developers are not designers, and a paywall that actually gets people to tap "subscribe" is harder to build than it looks, so the AI Paywall Editor helps you with that. Use it in our online editor, from the command line, or hook your own AI tools into it over MCP. You can see both agents in action in our most recent product launch recap https://www.revenuecat.com/blog/engineering/launch-party-june-26-the-new-features-you-should-know. This is a role for engineers who've built advanced agents that do actual work, not just a thin wrapper around an LLM. You'll ship agentic features to thousands of developers, and you’ll shape the foundation everything else runs on: orchestration, tool execution, context management, evaluation and human-in-the-loop controls. ABOUT YOU - You have 8+ years of experience shipping production systems. - You've built agents that other people actually use and the systems around them: tool use, structured output, context management, evaluation, orchestration. - You have strong backend fundamentals. You've built systems that need to be reliable, observable, and secure. - You hold a high bar for quality and instinctively know which details matter, but also are discerning enough to cut scope when needed while still delivering value. - You’re customer-obsessed: you imagine yourself as the developer, product manager, or marketer using the feature or experiencing the issue. - You’re a builder, not an implementer: scoping, prioritizing, and driving rollout in partnership with our Product team. This isn’t a role where you check off items from a detailed specification. - You can quickly familiarize yourself with code you didn't write yourself and improve it. - You’re scrappy and biased toward shipping. You’d rather ship a good version today and iterate than wait to ship a perfect one next quarter. - You communicate clearly, both in real-time and asynchronously. We’re a fully remote team, and how you write is as important as how you code. - You’ve shipped meaningful user-facing features to production, monitored their usage and adoption, and improved them over time. - You write high-quality, well-tested code, debug issues methodically, and help raise the engineering bar through thoughtful feedback and mentorship. - You act like an founder:: you notice problems, propose improvements, and follow through fast. - You're comfortable with ambiguity. This is an early stage product inside a growth stage company, and the architecture is still being figured out. - You're self directed. You figure out what needs to be built, build it, and ship it. - You are curious and stay current on AI tools and practices. - You have a habit of sharing what you learn with others. IDEALLY, YOU HAVE: - Familiarity with subscription business models, app stores, or developer tools - Experience with OpenAI/Anthropic APIs specifically - Experience with observability frameworks (Langfuse, Langchain, etc.) - Built Slack integrations - Contributed to open source AI/ML tooling - Maintained systems at scale IN THE FIRST MONTH, YOU’LL: - Meet frequently with your team and manager to get up to speed - Learn our tools, processes, and the subscription business concepts that shape our product - Get familiar with our debugging tools, infrastructure, and overall architecture - Ship your first project: a small feature that gets you into the codebase and shows you how the agents talk to RevenueCat's APIs - Jump in early: fix bugs, ship small improvements, and weigh in on PRs WITHIN THE FIRST 3 MONTHS, YOU’LL: - Ship a medium sized project, ideally a new agentic feature that reaches tens of thousands of developers - Understand the main product areas your team owns and how they work end to end - Understand our current agent infrastructure, orchestration, the eval pipeline, the tool framework, and the trust and permissions layer, and have opinions on how to improve it - Scope and work on projects on your own, from idea to post launch improvements - Take part in code reviews, bug bashes, and technical discussions WITHIN THE FIRST 6 MONTHS, YOU’LL: - Become the go to engineer for certain focus areas - Have made the agents measurably more reliable, faster, and capable - Contribute to architecture discussions that affect more than just your team - Mentor other engineers joining the team - Talk directly with customers to understand how your work actually lands - Debug issues across frontend, backend, and data. Communicate clearly during incidents and drive fixes that prevent repeats - Learn the basics of incident response and join the on call rotation WITHIN THE FIRST 12 MONTHS, YOU’LL: - Have built infrastructure the rest of the team ships agents on top of - Know all the major components of our system and be able to debug complex issues - Write proposals and drive major architecture discussions - Spec and architect large projects, gather feedback, and drive design validation and rollout plans - Have made RevenueCat an AI native company in large part because you built the engine underneath it - Have your own initiatives for improving our product and systems, grounded in real customer priorities WHAT WE OFFER: - Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator - 10-year window to exercise vested equity options - A fully remote environment designed around autonomy and flexibility - 4-5 weeks of flexible time off annually - Paid desk at a co-working space - Workspace budget and continuous learning stipend INTERVIEWING AT REVENUECAT Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed. MORE ON HOW WE WORK: - How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21 - The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/ - How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/ - What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21 - What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We are seeking a platform engineer to join our Compute Capacity team. This team owns the capacity plan that keeps compute supply ahead of demand across every region we operate in — the forecasting, buffer policy, and provisioning systems that make sure a project never runs into a wall it didn't know was there. You'll work on the systems that turn a capacity plan into provisioned reality: reservation acquisition, fleet reconciliation, and the automation that keeps what we've committed to in sync with what we're actually running. You'll help build the metrics and alerting that let capacity problems surface months out, on vendor lead time, rather than at the moment someone needs the room. You'll design, build, and operate systems that are both robust and highly automated — helping us hold the right buffer at the right cost, catch drift before it becomes a shortage, and give every team a single, trustworthy view of how much room we have across the millions of databases we manage. WHAT YOU'LL BE RESPONSIBLE FOR - Help build and maintain the capacity plan that keeps Supabase's compute supply ahead of demand across regions and instance families - Support buffer policy by modeling headroom targets and their cost tradeoffs for review and sign-off - Build and maintain automation that turns the capacity plan into provisioned reality — reservation acquisition and top-up, fleet reconciliation, drift detection between committed and running capacity - Extend our infrastructure as code for capacity-relevant provisioning - Instrument capacity: build and maintain metrics for saturation, reservation coverage, idle buffer, forecast error, and provisioning latency - Build and tune capacity alerting so headroom, quota, and reservation issues surface months out rather than at the moment of impact - Support the demand gate — helping intake large customer commitments, launches, migrations, and new regions so they reach the plan before they reach the fleet - Contribute to mitigation projects: right-sizing, instance-family migrations, autoscaling improvements, workload consolidation - Help drive down compute cost per database through right-sizing, placement, and commitment coverage work - Participate in capacity incident response and post-incident follow-through YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years across infrastructure engineering, SRE, platform, or capacity engineering, ideally at SaaS or cloud infrastructure scale - Have production software engineering experience — you've owned and operated a service, not just a notebook. Comfortable in modern languages like TypeScript, Python, and Go - Are comfortable working against forecasts and assumptions that are incomplete, and can revise your work as those assumptions change - Have experience with Infrastructure as Code (Pulumi or Terraform) - Have built or maintained observability for systems you own — metrics that answer real questions and alerting people trust (Prometheus/Grafana, CloudWatch, or similar); - Have solid working knowledge of AWS EC2: instance families and generations, purchase options, capacity reservations, and quota mechanics - Have some financial fluency — you understand reservation economics and the basic tradeoffs between coverage, utilization, and cost - Communicate clearly across audiences, from engineers to finance stakeholders WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.