Вакансии

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Infrastructure Security Engineer to design and secure the core systems that power our platform. This role focuses on building security directly into our infrastructure—from container isolation and orchestration to identity and secrets management in a multi-tenant, cloud-native environment. You’ll work closely with engineering teams to define secure primitives and ensure our platform is resilient, scalable, and trustworthy by design. This is a hands-on, deeply technical role focused on real systems, not compliance or policy. WHAT YOU'LL DO: Platform & Runtime Security - Design and improve isolation mechanisms for multi-tenant workloads (containers, sandboxing, execution environments) - Strengthen boundaries between customers, workloads, and internal systems - Identify and mitigate risks in distributed, dynamic compute environments Container & Orchestration Security - Secure and harden containerized workloads and orchestration systems (e.g., Kubernetes or similar) - Improve workload isolation, scheduling boundaries, and runtime protections - Evaluate tradeoffs in multi-tenant execution models Identity & Access Management - Design and improve authentication and authorization systems across services - Implement strong service-to-service identity and least-privilege access patterns - Improve access controls across infrastructure and internal systems Secrets & Key Management - Build and maintain systems for securely managing secrets, tokens, and credentials - Improve rotation, auditing, and access controls - Reduce secret sprawl and integrate secure patterns into developer workflows Cloud & Infrastructure Security - Secure cloud environments across providers (AWS, GCP, etc.) with a focus on consistency and portability - Improve network boundaries, service segmentation, and access controls - Embed security into infrastructure-as-code and deployment systems Engineering Partnership - Work closely with product and infrastructure teams to design secure systems from the ground up - Review architecture and code for security risks and provide actionable guidance - Identify patterns in risks and drive cross-cutting improvements REQUIREMENTS: Core Experience - Experience securing cloud-native infrastructure and distributed systems in production - Background in infrastructure, backend, or security engineering - Experience working in multi-tenant or high-scale environments Technical Depth - Strong understanding of containerization and orchestration systems (e.g., Kubernetes or similar) - Experience designing or securing isolation mechanisms in multi-tenant systems - Solid understanding of authentication, authorization, and service identity models - Experience with secrets management and secure handling of credentials - Strong foundation in networking concepts (segmentation, service communication, access boundaries) Mindset - Builder mentality, you design and implement, not just review - Pragmatic approach to security in fast-moving environments - Comfortable working deeply with engineers and influencing system design PREFERRED QUALIFICATIONS: - Experience with sandboxing or runtime isolation technologies (e.g., gVisor, Firecracker, seccomp, or similar) - Familiarity with kernel-level or low-level isolation primitives - Experience securing Kubernetes or similar orchestration systems in production - Background in developer infrastructure, compute platforms, or multi-tenant systems

150 000 – 270 000 $

Location: New York; San Francisco ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We are looking for strong engineers with experience in making ML systems performant at scale. If you are interested in contributing to open-source projects and Modal’s container runtime to push language and diffusion models towards higher throughput and lower latency, we’d love to hear from you! REQUIREMENTS: - 5+ years of experience writing high-quality, high-performance code. - Experience working with torch, high-level ML frameworks, and inference engines (vLLM or TensorRT). - Familiarity with Nvidia GPU architecture and CUDA. - Experience with ML performance engineering (tell us a story about boosting GPU performance — debugging SM occupancy issues, rewriting an algorithm to be compute-bound, eliminating host overhead, etc). - Nice-to-have: familiarity with low-level operating system foundations (Linux kernel, file systems, containers, etc).

200 000 – 350 000 $

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. ABOUT THE ROLE *Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco. This is a rare PM role with true vertical ownership across the full product lifecycle; from early-stage research and pre-training through to post-training and UX buildout through to GTM strategy and pricing - giving the right person a GM-like mandate to drive product decisions end-to-end in a way that's unique for a company of our scale. We’re looking for a passionate Product Manager to help us develop cutting-edge AI tools. This role is for someone who has a combination of strong technical or ML background and experience in product management. You have the ability to take the state-of-the-art AI systems our research team builds and turn them into impactful tools for our customers. You’ll deeply understand what users want, what’s possible to build, and what’s strategic for our business. You’ll be a bridge between our users and our internal teams so we ship products that have the most value for Runway’s creators. This role is a fundamental and critical part of the team for a market-defining company in its early stages. WHAT YOU’LL DO - Work alongside our research team to define new AI applications that solve customer needs and drive business value - Collaborate closely with engineering and design to productize research and continuously improve existing tools - Define and analyze metrics, talk with users weekly, and conduct A/B tests to discover use cases, validate pain points, and prioritize features WHAT YOU’LL NEED - 1+ years of direct experience with SQL, python, code generation tools, and version control best practices - 4+ years of product management experience - Familiarity with the current state-of-the-art ML capabilities and ML products - Experience working with fast-moving teams and building products from scratch - Passion for seeing research through from initial conception to ultimate application - Excellent written and verbal communication skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is seeking a Startup Program Lead to build, lead, and scale our global startup program and startup program team. This individual will own the startup program end to end, leading strategy, execution, and team operations. They will be responsible for how the program operates, scales, and delivers a high-quality experience for early stage founders. They will also play a critical role in supporting our efforts to build strong partnerships with venture capital firms, accelerators, incubators, and startup enablement programs. You’ll work closely with our Startup marketing, sales, partner, and events teams to grow Vercel’s footprint across early-stage technology communities and identify strategic opportunities to support startup founders. This role is ideal for someone who is deeply connected to the startup and VC community, has a strong understanding of developer-first products, and a track record of building and scaling programs. What You’ll Do: Own and lead Vercel’s global startup program strategy, roadmap, and execution end to end, focused on early stage startups from pre-seed through Series A. Build, manage, and mentor a high-performing startup program team. Design and scale programs that drive adoption, activation, and ongoing engagement of startups building on Vercel, like the Vercel AI Accelerator . Develop and grow relationships with venture capital firms, accelerators, incubators, and founder communities to bring high-quality startups into Vercel’s ecosystem as customers from day one. Partner closely with Sales to identify high-potential startups within the program and support their progression into long term, successful customers. Establish clear pathways from early stage adoption to deeper product usage, expansion, and retention, and track performance across the startup lifecycle. Work cross-functionally with Marketing, Vercel Media, Partnerships, and Developer Relations to integrate the startup program into campaigns, content, and ecosystem distribution. Identify opportunities to embed Vercel into the early stage ecosystem, including VC platforms, accelerator programs, and founder experiences. Serve as a visible leader and ambassador for Vercel in the startup ecosystem by hosting events, advising founders, and building long term relationships. Bring insights from early stage founders and developers back into Vercel’s marketing, product, and go to market strategies. About You: 6+ years of experience in programs, partnerships, or ecosystem roles, ideally within a high-growth technology or developer-focused company. Experience building and scaling programs from 0 to 1, with clear impact on marketing, growth, or revenue. Proven experience managing or leading teams. Strong track record of building strategic relationships with VCs, accelerators, and early stage companies. Deep understanding of the startup ecosystem and the needs of founders and developer teams. Ability to engage credibly with technical audiences across Engineering, Product, and Design, with familiarity in modern frontend technologies such as React, Next.js, Vite, Astro, and Remix. Strong cross-functional operator who can partner effectively with Marketing, Media, Sales, Product, and Engineering. Data-driven mindset with experience defining success metrics and optimizing programs based on performance. Excellent communication, storytelling, and relationship-building skills. Bonus if you: Contribute to open-source projects related to modern frontend technologies (eg. React, Next, Vite, Astro, Remix, etc.) Have existing relationships with top-tier VCs, accelerators (e.g., Y Combinator, Techstars), or founder communities. Have built applications at scale with modern frontend technologies. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $148,000 - $185,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - US About the Job: As a Staff Engineer on LaunchDarkly's Experimentation team, you'll build the platform that helps engineering teams make data-driven decisions with confidence. Our Experimentation product enables customers to run A/B tests, measure the impact of feature changes, and optimize experiences — integrated with a feature management platform that processes trillions of evaluations daily. This role sits at the intersection of data science and platform engineering. You'll design the statistical engine, warehouse-native analysis pipelines, and adaptive experimentation systems (including contextual bandits) that power our customers' most important decisions. We want someone who brings genuine depth in applied statistics and ML — as fluent in statistical validity as in system architecture. You'll also architect warehouse-agnostic features that run analysis directly inside customers' data warehouses (Snowflake, Databricks, Redshift, BigQuery) — modular computation layers that abstract across warehouse environments while maintaining statistical correctness. Deep technical experience, a scientific mindset, and the ability to influence product and technical direction are critical. You'll lead by example: setting the bar for rigor, mentoring teammates, and owning systems end to end, including on-call. Responsibilities: Build the experimentation statistical engine — hypothesis testing, sequential analysis, variance reduction ( CUPED , Winsorization), power analysis. Ensure statistical correctness across all experiment types. Design warehouse-native experimentation that runs analysis inside customer warehouses (Snowflake, Databricks, Redshift, BigQuery). Build modular, warehouse-agnostic abstractions for rapid new backend support. Lead adaptive experimentation — contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. Drive the platform roadmap with product, design, and data science. Shape what we build, not just how. Collaborate cross-functionally with Warehouse Integrations, SDK, Platform, and Data Science teams. Mentor engineers and raise the team's bar for statistical rigor and system design. Own operational excellence — monitoring, observability, incident response, on-call. Robust telemetry and alerting. Qualifications: 10+ years building large-scale experimentation platforms, statistical analysis systems, or data-intensive backend services. Applied-statistics knowledge: hypothesis testing, sequential analysis, variance reduction ( CUPED ), power analysis, experiment design. Comfortable with frequentist vs. Bayesian trade-offs. Experience with adaptive experimentation ML — contextual bandits, Thompson sampling, Bayesian optimization, or RL -based allocation. Track record designing warehouse-agnostic systems across Snowflake, Databricks, Redshift, BigQuery, or similar. Expertise in Go, Python, or similar for backend services and statistical computation. Experience with event-driven architectures, data pipelines, and large-scale data processing. Cloud environments (AWS, GCP) with infrastructure-as-code. Technical leadership: setting direction, breaking down complex problems, influencing across teams. Ability to translate statistical concepts for product and engineering audiences. Pay: Target pay ranges based on Geographic Zones* for Level 5: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $214,800 - $295,350* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $193,400 - $265,870** Zone 3: All other US locations - $182,600 - $251,0202** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

О ПРОЕКТЕ Европейская финтех-компания с подтвержденным PMF масштабирует свою крипто-вертикаль. Есть живой продукт, отличная выручка и амбициозные планы по захвату рынка. Ищут лидера, который возьмет на себя полный P&L и превратит перспективное направление в доминирующего игрока. ВАШИ КЛЮЧЕВЫЕ ВЫЗОВЫ — Ownership: Полная ответственность за стратегию и доходы (P&L) крипто-вертикали. — Scaling: Масштабирование кошелька и карточных продуктов на новые рынки. — Product Leadership: Прямое влияние на роадмап и внедрение новых фич. — Growth: Поиск новых точек роста и оптимизация юнит-экономики. ЧТО МЫ ЖДЕМ ОТ ВАС — Crypto Expert: 4+ года опыта работы с криптокартами и/или кошельками в B2C сегменте. — In-house Experience: Опыт построения продукта изнутри (in-house роли). — Business Mindset: Умение мыслить цифрами, видеть рынок и принимать быстрые решения. — Leader: Способность вести за собой команду и отвечать за конечный результат. ПОЧЕМУ ЭТО КРУТО? — Impact: Максимальный уровень самостоятельности и влияния на глобальный бизнес. — Global: Работа в сильной международной команде без границ. — Reward: Очень конкурентное вознаграждение и пакет бенефитов, соответствующий уровню.

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Location: Remote, Global 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. We're looking for an engineer to own the deployment and operational infrastructure of Multigres, our distributed Postgres platform. You'll be responsible for building and maintaining the Multigres Operator, ensuring reliable cloud deployments, and creating the tooling that powers our Kubernetes-based infrastructure. WHAT YOU’LL BE RESPONSIBLE FOR: - Build and maintain the Multigres Operator - Maintain our Go-based Kubernetes operator that orchestrates distributed Postgres deployments - Architect cloud deployment infrastructure - Design and implement robust deployment patterns for EKS and other Kubernetes platforms - Manage storage and networking layers - Work with CSI drivers, persistent volumes, and cross-cloud networking to ensure data reliability and connectivity - Develop deployment tooling - Create internal tools and automation for provisioning, scaling, and managing Multigres clusters - Ensure operational excellence - Build monitoring, alerting, and diagnostic capabilities into the deployment layer - Collaborate across teams - Work with database engineers, SRE, and product teams to deliver seamless deployment experiences YOU MIGHT BE A GOOD FIT IF YOU HAVE: - Strong systems programming skills - Proficiency in Go and experience building production-grade operators or controllers - Deep Kubernetes expertise - Hands-on experience with Kubernetes internals, custom resources, and cloud-managed Kubernetes services (EKS, GKE, AKS) - Database operations knowledge - Understanding of database deployment patterns, backup/restore, replication, and high availability - Distributed systems experience - Familiarity with consensus protocols, failure scenarios, and designing for resilience - Cloud infrastructure background - Experience with cloud-native deployment tooling, IaC (Terraform, Pulumi), and cloud provider APIs - Production operations mindset - Track record of building reliable, observable, and maintainable systems NICE TO HAVE: - Experience with CSI storage drivers and storage orchestration in Kubernetes - Knowledge of cross-cloud networking tools like Cilium, Istio, or similar service mesh technologies - Prior work with sharded query serving systems like Vitess - Contributions to open-source infrastructure projects 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.

Location: Japan Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. We are seeking a visionary and high-impact General Manager for Japan to lead our commercial expansion. This is a foundational role. You will be responsible for defining our go-to-market strategy in Japan, establishing enterprise partnerships and customer relationships and driving the adoption of Runway’s creator platform across the region. Note: For candidates based in Tokyo, this role may expand into the Country Manager, overseeing local operations and serving as the primary representative of Runway in Japan. WHAT YOU'LL DO - Lead commercial efforts by designing the go-to-market strategy for Japan, focusing on high-value enterprise accounts in media, entertainment, advertising, brands and technology sectors - Identify enterprise and distribution partnerships, cultivating relationships with C-suite executives at Japan’s largest firms, navigating the unique nuances of Japanese business culture and long-term relationship building - Localize product and marketing strategy to the Japan market, working closely with Product, Creative, and Marketing teams to ensure Runway’s offerings and messaging are deeply resonant with Japanese customer base - Serve as the subject matter expert on the Japanese and broader Asia competitive landscape, regulatory environment and emerging AI trends - Build the Japan office by recruiting, leading and mentoring a local team of enterprise account executives, and growth and deployment leads - Represent Runway at major industry events, conferences, and in the media to establish us as the leading AI partner for Japanese creators and enterprises WHAT WE'RE LOOKING FOR - 10+ years of experience in enterprise software, media technology or high-growth AI startups, with a proven leadership track record of building and cultivating high performance teams - Native fluency in Japanese, with professional fluency in English. You must be able to bridge the communication gap between our US teams and local stakeholders - An existing network of relationships within major Japanese media companies, advertising agencies or major tech conglomerates - Deep understanding of Japanese business etiquette and the ability to navigate complex organizational hierarchies - Comfortable with the ambiguity of an early-stage international expansion for a category-defining product, thinking in first principles to both close deals on the ground and build processes for scale Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: San Francisco, CA Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As Executive Assistant to 3 Senior Leaders (VP, Workplace & Real Estate, VP, Reward & Wellness, and Director, HR Operations), you’ll be responsible for keeping the leaders and teams organized, aligned, and helping them maintain focus while scaling for growth and delivering an exceptional internal and external experience. In this role, you’ll be directly supporting the VP, Workplace & Real Estate, VP, Reward & Wellness, and Director, HR Operations to strategically manage day-to-day administrative and operational needs, infuse Figma’s culture and values in the work to create a meaningful Figmate experience, and cross-functionally collaborate with the broader People Org and stakeholders across Figma. This is a full-time role based out of our SF Hub. What you'll do at Figma: Assist your Executives (VP, Workplace & Real Estate, VP, Reward & Wellness, and Director, HR Operations) with calendar, travel, meetings, tasks, notes, emails Serve as a strategic partner to the VPs and their leadership teams, with a focus on team cohesion, operations, and planning Identify areas to optimize the VPs’ time and make recommendations regarding time management, prioritization, and business needs Act as a delegate for the VPs by signing off on expenses, approving POs, and managing other tooling as needed, with careful attention to internal policy Find opportunities for process optimization across team and company workflows Prepare and/or build content, presentations, and key documents for the VPs Partner cross-functionally with the People Team and other internal teams to ensure alignment on projects, company milestones, and internal events We’d love to hear from you if you have: 6+ years of experience in a senior administrative support role Experience working in a fast-paced environment with the ability to adapt quickly to changing demands and dedication to fostering inclusivity and navigating initiatives through an optimistic lens Outstanding communication skills and the ability to connect with a broad spectrum of stakeholders internally and externally, both in person and online The ability to shift gears and prioritize based on the volume and urgency of requests Expertise in prioritizing, connecting dots, and anticipating needs and a commitment to being trustworthy, reliable, and maintaining the strictest confidentiality While it’s not required, it’s an added plus if you also have: Experience with our product suite Supported teams of 100+ people (bonus points for complex global teams) Previous experience supporting Recruiting or Workplace teams At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $127,000 — $269,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

THE MISSION We are building the next generation of DeFi protocols, pushing the boundaries of what’s possible in decentralized finance. We need a heavy-hitter in Solidity who loves complex business logic, mathematical challenges, and mission-critical security. CORE RESPONSIBILITIES — Contract Engineering: Architect, develop, and evolve smart contracts for a high-stakes DeFi protocol. — Security First: Implement best practices to prevent vulnerabilities (reentrancy, overflows, etc.) and lead audits. — Optimization: Squeeze every drop of performance through expert gas optimization. — Innovation: Research and implement cutting-edge patterns and Layer 2 solutions. — Collaboration: Work closely with Backend and Product teams to translate complex logic into production-ready code. WHAT WE’RE LOOKING FOR — Experience: 5+ years of production-level Solidity development (Mainnet records required). — Deep Tech: Expert understanding of the EVM, assembly (Yul), and smart contract architecture. — Math Background: Master’s/Bachelor’s in Mathematics or Computer Science. — Open Source: Active contribution to DeFi ecosystems or notable open-source projects. — Soft Skills: Fluent English (B2+) and a collaborative mindset for high-speed delivery. — Vision: Clear understanding of L2 scaling and the future of Ethereum. PERKS & BENEFITS — Healthcare: Comprehensive Medical, Dental, and Vision insurance (Family included). — Flexibility: Unlimited PTO policy and a remote-first culture. — Family First: Up to 16 weeks of paid parental leave. — Growth: $1,500 annual educational budget. — Equipment: Home office stipend to build your perfect setup. — Wellbeing: Access to fitness partners and retirement plans (401k).

200 000 – 250 000 $

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring multiple positions from early-career engineers to experienced architects focused on the different dimensions of dependable software: cybersecurity, quality, and safety. What does it take to bring the world’s open source software into mission-critical systems? At Canonical, we are driving the engineering discipline needed to build secure, reliable, and high-quality products that our automotive and industrial partners can depend on. Ubuntu is already the world’s most widely used Linux distribution in general; we want to make it the world’s best choice for the automotive and industrial sectors too. We operate at the boundary between upstream open source innovation and the industrial regulatory realities. Our engineers define the concepts, architectures, processes, verification strategies, and certification artifacts to transform a general-purpose platform into a dependable, certifiable foundation for automotive and industrial compute. This is systems-level engineering at scale, requiring precision, rigor, and a deep understanding of how complex software behaves in constrained, regulated environments. We are looking for engineers and architects who combine an open source hacker and builder mindset with respect for rigorous, standards-driven engineering. You will work across Canonical engineering teams and with leading industrial partners, helping to build this capability from the ground up and shaping how open source enters the most demanding technical domains. Location : This is a remote role based in the EMEA region. The role entails Translate automotive and industrial cybersecurity, quality and safety standards into actionable engineering requirements and perform gap analyses against current capabilities. Drive the creation of structured engineering artifacts, including requirements, traceability models, risk analysis, test strategies, and certification documentation. Collaborate with Canonical engineering teams to align development practices with industrial compliance needs. Design, implement, and execute verification and validation activities required to qualify Ubuntu and other components for regulated environments. Develop and improve automation and tooling to scale traceability, testing, compliance evidence generation, and reporting. Engage with industrial partners to understand their expectations, align external expectations and internal capabilities, and support audits and technical reviews. Contribute to the continuous improvement of Canonical’s internal processes and standards capability as the team scales. What we are looking for in you Strong software engineering foundation with experience in developing complex systems on Linux. Professional experience with C, C++, and Python in production environments. Demonstrated experience working within automotive, industrial, or other regulated environments governed by safety, cybersecurity, or quality standards (such as ISO 26262, ISO/SAE 21434, IEC 61508, IEC 62443, SOTIF, or (A)SPICE), and applying them in practice. Experience in system or software architecture, implementation, or verification and validation of complex embedded systems. Strong written and verbal communication skills, with the ability to produce precise technical documentation. Ability to collaborate effectively in a distributed team and engage with industrial partners. Additional experience that is valuable Contributions to open source projects, particularly in the area of Software Defined Vehicles. Knowledge of Debian packaging. Experience with Rust or safety-critical software development. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal-opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration .

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT REPLIT Replit is building the world’s most ubiquitous AI coding agent. Replit Agent can be used by anybody to bring their ideas to life. Whether it’s an app for yourself, the next great startup idea, or a tool to make you more productive at work, Replit Agent can help build it. Replit is also the leader in secure vibe coding. We protect apps, give users features to manage security risks, and help them vibe code more safely. ABOUT THE ROLE In this role you will build powerful tools that help product engineers iterate rapidly on the Agent experience and directly enhance the core Agent itself. You’ll bridge the gap between the AI team (working on the core Agent logic) and the UX team (crafting delightful Agent experiences), enabling both groups to excel within their specialties. This role blends systems engineering, developer experience and product engineering. We tackle complex challenges across the full stack, from browser-based interfaces to high-performance backends to Linux systems engineering. We’re looking for engineers who have a keen sense of the product experience and how to power it with performant systems. On this team, you’ll have the opportunity to grow your skills across our infrastructure and product, and to lead end-to-end efforts with meaningful impact. We value diverse perspectives and encourage candidates from all backgrounds and experiences to apply. YOU WILL - Build high-throughput backend applications and services, like streaming chat between user and agent. - Design a collaborative "Multiplayer Computer" that lets humans and AI agents work together on shared shells, filesystems, and state—conflict-free and in real time. - Develop infrastructure (frontend & backend) that empowers product engineers to rapidly ship delightful user experiences. - Design and build durable, well-crafted interfaces between the Agent and internal systems, as well as external agentic systems (MCP) REQUIRED SKILLS AND EXPERIENCE - 8+ years professional experience in building backend services, systems and platforms - Someone who values simplicity and pragmatism—you think radically but ship incrementally. - Self-directed and comfortable working autonomously. - Collaborative and team-oriented with a strong sense of shared ownership. PREFERRED QUALIFICATIONS - Experience across the full-stack. - Experience building AI powered tooling or products. - Experience with collaborative editing technologies such as Operational Transforms (OT), CRDTs, or the inner workings of Git. - Experience with event sourcing systems. WHAT WE VALUE - Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions - Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams - Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences - Continuous learning: Passion for staying current with industry best practices and new technologies - Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. Location: - New York City WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation Annual OTE: $350,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Raleigh, NC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Charlotte, NC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $150,000–$250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. Without ever sacrificing craft or quality helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Staff Machine Learning Scientist to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exempt - Our cash compensation amount for this role ranges depending on the cost of labor of the geographic area. The ranges shared below may change if you are hired in another geographic location.  - United States  (all figures cited below in USD and pertain to workers in the United States) - Zone A: 232,000 - 290,000 - Zone B: 217,600 - 272,000 - Zone C: 204,800 - 256,000 - Canada  (All figures cited below in CAD and pertain to workers in ON & BC, Canada) - 253,000 - 316,000 Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for a new position - Reporting to the Director, Engineering  As a Senior Staff Machine Learning Scientist, you’ll:  - Lead and drive ambitious research initiatives that advance the state of the art in computer vision, multimodal understanding, and visual generation. - Develop novel models, algorithms, and training methodologies for challenging vision problems such as image understanding, video understanding, visual search, scene representation, segmentation, detection, generation, and multimodal reasoning. - Translate cutting-edge research into practical model improvements that can shape product direction and unlock new user experiences. - Design, implement, train, and optimize large-scale vision and multimodal foundation models across diverse datasets and tasks. - Partner closely with applied scientists, ML engineers, and product teams to move research from exploration to production-ready systems. - Set technical direction for high-impact research areas, identifying promising bets and influencing longer-term strategy for vision and multimodal AI. - Mentor other scientists and engineers, raise the quality bar for research, and help build a strong scientific culture across the team. - Stay at the forefront of research in computer vision, multimodal learning, generative modeling, and foundation models, and apply emerging techniques to real-world problems. ABOUT YOU: Requirements: - BA/BS degree or equivalent experience You’ll thrive as a Senior Staff Machine Learning Scientist if you: - Deep theoretical and practical expertise in computer vision, with strong foundations in areas such as representation learning, visual recognition, image or video generation, multimodal learning, and large-scale model training. - Advanced degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, or a related field; PhD strongly preferred. - 8+ years of relevant industry and/or research experience, or equivalent impact, including a track record of driving major research initiatives in computer vision or multimodal machine learning. - Strong experience with state-of-the-art vision and multimodal model architectures, including transformers, diffusion models, contrastive learning approaches, and foundation models. - Proven ability to formulate research problems clearly, design rigorous experiments, and translate findings into meaningful model or product advances. - Strong coding and prototyping skills in Python, with the ability to write clean, scalable, and well-documented research code. - Proficiency in modern deep learning frameworks such as PyTorch and TensorFlow. - Demonstrated technical leadership, including mentoring scientists or engineers and influencing research direction across a team or organization. - Strong communication skills, with the ability to present complex research clearly to both technical and cross-functional audiences. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.   OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. 🎯 ABOUT THE ROLE The product team at WorkOS is built for people who want to work on complex problems with real stakes. Our users are developers and technical buyers at fast-growing companies — they have strong opinions, high standards, and they'll tell you exactly what works and what doesn't. Our engineers have sharp product instincts and want to collaborate with PMs who match them. This is a role with genuine scope. You'll own product areas end-to-end — from identifying the right problem to driving it through discovery, design, engineering, and launch. You'll think broadly across the product surface, go deep on specific problems, and operate with a level of autonomy that's rare at most companies. ✔️ WHAT YOU'LL DO - Own specific product areas with full accountability for outcomes — from discovery through delivery and iteration - Talk to customers regularly and synthesize what you learn into clear, prioritized product direction - Partner tightly with engineering and design to move from concept to shipped product quickly - Define success metrics and use them to evaluate whether what you shipped actually worked - Work cross-functionally with marketing, sales, and GTM to bring new features and products to market effectively - Identify 0-to-1 opportunities — things that don't exist yet but should — and drive them from blank page to launch - Make hard prioritization calls with limited information and defend them clearly - Contribute to the broader product strategy and roadmap as the company scales 🌟 WHAT WE'RE LOOKING FOR Must-haves - B2B SaaS experience — you understand the developer or enterprise buyer and have shipped products for them - One of: deep domain knowledge in auth, identity, or developer tooling, or a strong track record building developer-facing products specifically - Real 0-to-1 experience — you've started something from scratch, not just inherited a roadmap - Customer obsession in practice, not just on a resume — you talk to users constantly and it visibly shapes what you build - Bias to action — you move fast, make decisions without perfect information, and iterate rather than waiting for consensus - Strong cross-functional collaboration — you've worked closely with design, engineering, and marketing, and you know how to bring those relationships to get the best work out of a team Nice-to-haves - Experience with pricing and packaging decisions — understanding how product and monetization interact - Background at a company with a PLG motion or developer-first go-to-market Logistics - Based in the United States — SF or NYC is a plus but not required - Willingness to travel roughly once a month for team or customer meetings Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote Oregon; Remote Washington; Remote California; Remote Idaho; Remote Nevada Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. We are looking for a stellar Director of Finance to join our team! Reporting directly to the CFO, you will own the FP&A function and play an important role in shaping the company’s financial strategy. This is a high-impact position for a strategic thinker who is not afraid to "roll up their sleeves." You will be the bridge between financial data and executive strategy, ensuring our plans and investments are both strategic and sustainable. WHAT YOU'LL BE DOING - Financial Planning: Lead the annual budgeting and rolling forecast processes, delivering clear, data-driven insights to the CFO and the Board. Drive predictability, accountability, and strategic alignment across the organization; - Business Partnership: Serve as a trusted advisor to the leadership team. You won't just report numbers; you'll provide the "why" behind them to influence business decisions; - FinOps & Cloud Infrastructure: Serve as the financial lead for cloud spend, partnering with Engineering and Cloud Operations to analyze cost drivers, drive optimization initiatives, manage cloud vendor contracts, and secure optimal commercial terms to improve gross margin; - Revenue Operations: Serve as a key partner to Sales on deal strategy and governance, guiding pricing and negotiations, approving deals, and optimizing for revenue quality and margin. Collaborate with Sales Leadership to design incentive-aligned compensation plans, review quotas, and drive insights on sales productivity; - Business Intelligence & KPIs: Develop and maintain sophisticated dashboards tracking core business KPIs and performance metrics, driving clarity on unit economics and operational efficiency; - AI & Finance Analytics: Leverage AI and advanced analytics to improve forecasting, automate workflows, and drive scalable, insight-driven finance operations; - Executive Support: Support the CFO in high-stakes projects, including Board materials, executive QBR presentations, investor reporting and vendor contract management. WHAT WE’RE LOOKING FOR - Bachelor’s degree in Finance, Accounting, or Business. An MBA or CFA is preferred; - 15+ years of progressive experience in FP&A and Finance Operations within both private and public company settings; - Strong working knowledge of AWS, GCP, or Azure pricing models and services, with a clear understanding of how infrastructure and architecture decisions impact COGS and margins; - Highly detail-oriented with a track record of building accurate, scalable financial models and ensuring data integrity across complex datasets; - Experience applying AI-driven insights and advanced analytics to streamline financial planning, reporting, and data analysis processes, improving efficiency and decision-making; - A proven ability to "think big" regarding strategy while "diving deep" into the granular details of a dynamic, fast-paced environment; - Superior interpersonal skills with the ability to translate complex financial data into actionable narratives for non-finance stakeholders, with a proven track record of partnering effectively with Sales teams. Applications will be accepted on a rolling basis. Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. We offer fantastic benefits for full time employees; in the US these include: - Medical/dental/vision insurance with 100% coverage for employees - Company contribution to your FSA - Flexible Time Off - take the time you need - Life Insurance, short and long term disability insurance - 401(k) - Wellness programs - Annual professional development budget - Financial planning and legal advice Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.  To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.