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What this job can offer you This is an exciting time to join Remote and make an impact in the global employment space as a Senior Product Designer joining our Product Design team. Design at Remote is a 40+ multi-disciplinary team of designers and creatives passionate about crafting the experiences that help Remote scale successfully and help customers find, hire, manage and pay anyone, anywhere. At Remote, we look for Senior Product Designers who are well-experienced, have high-level of maturity across the end-to-end design process, can autonomously lead design within a product team and are comfortable navigating ambiguity. You will be part of a thriving cross-functional organisation, where you will collaborate with Designers, Engineers and Product Managers worldwide to deliver remarkable user experiences to customers. What you bring An individual contributor with an impressive portfolio of product design work demonstrating your maturity across the end-to-end design process, not only showcasing your ability to identify and understand problems to solve, but deliver delightful, well-crafted user interfaces that have tangible impact on users. Persuasive communication skills that help you build strong narratives around your design work, provide direction and guidance to others, as well as collaborate effectively with peers and stakeholders - with fluent written and spoken English. A systems thinker who champions the importance of holistic thinking, is comfortable in a high-growth, fast-paced environment and has a work history that demonstrates an ability to autonomously take ownership of design for complex domains and/or multiple projects. Strong evidence that you are an effective cross-functional collaborator with your product and engineering counterparts and are able to work effectively to build consensus and resolve debates and drive the business towards impactful outcomes. You are an engaged member of your design organization whose focus is not only delivering quality user experiences, but help shape our design culture and ways of working. Preference will be given to candidates who have experience designing complex B2B SaaS solutions for industries like HRTech, FinTech etc. Candidates that embody and demonstrate our core values at Remote. While it is not required to have experience working remotely, it is considered a plus. Key Responsibilities Influencing strategy for your product team, identifying opportunities for impact in collaboration with your stakeholders and cross-functional peers. Applying the right research methodology at the right time, helping you and your team empathise with customer challenges and developing an intimate knowledge of the problem being solved. Leveraging AI prototyping as a tool for exploring conceptual ideas, iterating with your cross-functional peers and these bringing ideas to life with functional flows. Crafting high-fidelity user interfaces with flair at velocity, expressing your maturity in interaction design and maintaining our exceptional bar for quality, while delivering at speed. Leading compelling vision initiatives for your team and domain, influencing and visualising the direction-of-travel and opportunities for innovation. Solving problems holistically with systems-thinking, understanding the ripple effect of your design decisions and ensuring scalability, while avoiding introducing unnecessary variation to our information architecture and experiences. Communicating persuasively, weaving storytelling narratives around your work to bring peers on the journey with you, while triaging their critique and feedback efficiently and effectively. Collaborating transparently in the open, proactively sharing your work with the wider organisation to solicit frequent feedback and identifying opportunities for cross-domain collaboration. Advocating usage of our design system Norma to its best advantage, understanding when to follow it strictly or deviate, improve and contribute. Championing our experience principles by ensuring simplicity, usability, scalability and accessibility in all user experiences we deliver. Being an active member of our cross-functional culture by advocating quality, shaping our ways of working and providing peer support, critique and feedback to others. Practicals You'll report to: Design Manager or Senior Design Manager Team: Product Design Location : Anywhere in the world Start date : As soon as possible Benefits work from anywhere flexible paid time off flexible working hours (we are async) 16 weeks paid parental leave mental health support services stock options learning budget home office budget & IT equipment budget for local in-person social events or co-working spaces How you’ll plan your day (and life) We work async at Remote which means you can plan your schedule around your life (and not around meetings). Read more at remote.com/async. You will be empowered to take ownership and be proactive. When in doubt you will default to action instead of waiting. Your life-work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs. How to apply 1. Please fill out the form below and upload your CV with a PDF format. 2. We kindly ask you to submit your application and CV in English, as this is the standardised language we use here at Remote. 3. If you don’t have an up to date CV but you are still interested in talking to us, please feel free to add a copy of your LinkedIn profile instead.

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Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer. You'll own the technical strategy across four interconnected pillars: Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools. CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering. As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through. Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use. You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities. RESPONSIBILITIES Technical Leadership & Architecture - Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools - Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) - Establish architectural patterns, technical standards, and best practices across the developer tooling stack - Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services - Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks - Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation - Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction - Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns - Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management - Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) Strategic Impact & Innovation - Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy - Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does - Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction - Lead cross-functional technical discussions influencing company-wide developer tooling architecture - Define technical approach for productizing successful internal developer tools into customer-facing offerings Leadership & Mentorship - Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration - Lead design reviews and technical decision-making across all developer tooling work - Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team - Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization - Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. QUALIFICATIONS REQUIRED: - 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale - Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns - Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling - Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster - Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development - Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals - Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs - Strong communication skills with ability to influence technical and non-technical stakeholders - Track record of technical mentorship and elevating engineering teams' capabilities - Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable with autonomous work in distributed, remote-first teams across multiple time zones PREFERRED: - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in DevOps, SRE, or platform engineering domains - Contributions to open source developer tooling, platform engineering, or observability projects - Experience productizing internal platforms into commercial offerings - Deep knowledge of security, compliance, and operational best practices for production systems - Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) - Track record driving org-wide adoption of developer tooling and engineering standards WHAT TO EXPECT FIRST 30 DAYS - Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap - Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform - Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars - Review existing tools in production and understand what's working, what isn't, and the technical lessons learned - Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars FIRST 90 DAYS - Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model - Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work - Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management - Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure - Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact - Create architectural decision records and best practices guides for teams building on the platform FIRST YEAR OUTLOOK - Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value - Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction - Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times - Lead technical strategy for productizing successful internal tools into customer-facing offerings - Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing - Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity United States: $198K – $319K + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

At Querify Labs, we work with technology companies on the design and implementation of complex data infrastructure systems. Our engineers contribute to projects involving query processing, storage engines, distributed systems, and analytical infrastructure. Our Engineering Approach: Our engineers primarily work with Java and C++, though we are not tied to any specific language or technology stack. We value strong engineering fundamentals and the ability to select the right tools for the problem at hand. We leverage modern AI-assisted development tools to accelerate research, prototyping, implementation, and code exploration. We view AI as a force multiplier for experienced engineers rather than a replacement for engineering judgment, system design, or deep technical expertise. We actively study open-source systems, academic research, and production architectures to make informed engineering decisions. You Will: — Design and implement core system components — Investigate performance bottlenecks and scalability challenges — Analyze open-source projects and research papers — Write technical design documents and validate ideas through prototypes — Participate in architecture discussions and code reviews — Work closely with experienced database and distributed systems engineers You Have: — Strong knowledge of algorithms and data structures — Solid software engineering experience in Java, C++, Rust, or another systems-oriented language — Interest in databases, query processing, storage engines, or distributed systems — Strong analytical and problem-solving skills — Ability to understand complex technical trade-offs and communicate them clearly — Curiosity, ownership, and a desire to learn new technologies Nice to Have: — Experience with databases, query engines, storage engines, or distributed systems — Experience with concurrency, parallel algorithms, or performance optimization — Experience with big data technologies and data processing systems — Contributions to open-source projects — Research publications, conference talks, or technical writing What We Offer: — Competitive compensation based on experience, expertise, and impact — Long-term contractor engagement — Fully remote work from anywhere in the world — Exceptionally challenging technical problems — Opportunities to publish, speak at conferences, and contribute to the technical community

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About the team The Technical Success team ensures safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises, acting as trusted advisors to maximize value from models and products. The Ecosystem team builds and scales third-party integrations around ChatGPT and Codex, working across product, engineering, partnerships, safety, legal, policy, and go-to-market to create useful, trustworthy, and technically sound integrations. About the role The Applied Deployment Engineer will build and deepen ChatGPT integrations with third-party messaging platforms, focusing initially on partner work and future opportunities with other messaging apps globally. This hands-on, partner-facing engineering role involves working closely with external product and engineering teams to improve integrations, expand capabilities like image generation, increase retention, and translate partner needs into OpenAI’s product and engineering roadmap. The role requires daily coding, making changes across platform or monorepo surfaces, and balancing technical discovery, product tradeoffs, prototyping, debugging, and executive communication. It suits a product-minded engineer with excellent communication skills, sound technical judgment, and ability to work across cultures, time zones, and organizations. The role is based in the San Francisco office with a hybrid work model (3 days in office per week) and relocation assistance. Responsibilities — Partner with messenger app product and engineering teams to design ChatGPT-powered experiences fitting chat, group, contact, and app-tab surfaces. — Deepen existing partner integrations focusing on user experience, retention, reliability, and features. — Build prototypes, integration guides, reference flows, and launch checklists to help partners move from concept to production. — Debug API, latency, authentication, quota, quality, and user-experience issues across partner and OpenAI systems. — Translate privacy, trust, login, and data-handling requirements into clear technical constraints and implementation plans. — Collaborate with product, engineering, design, partnerships, legal, policy, and support teams to ensure reliable, scalable, and maintainable partner launches. — Capture repeatable patterns from messenger integrations and create reusable playbooks for future partners. — Travel periodically to meet international partners during key integration, launch, and post-launch milestones. Requirements — Strong software engineering background with daily coding enjoyment. — Experience building or deploying API integrations with external partners, understanding client, backend, auth, privacy, reliability, and UX constraints. — Strong product sense and design judgment for consumer-facing experiences. — Ability to concretize ambiguous product ideas without over-specifying partner internals. — Clear communication with engineers, product leaders, executives, and business stakeholders. — Comfortable debugging distributed systems and narrowing performance or reliability issues into actionable hypotheses. — Deep care about user trust, privacy, and product quality, especially in sensitive communication contexts. — Ability to balance urgency with judgment and maintain launch momentum without skipping important details. Preferred qualifications — Experience with B2C consumer, social, or messaging products. — Experience working with international partners or in cross-cultural product and engineering environments. — Familiarity with OAuth/login flows, API rate limits, webviews, mobile release cycles, and partner launch operations. — Experience with AI product launches, developer platforms, or API-first products. — Prior customer-facing or partner-facing engineering experience, especially in startups or smaller companies. — Ability to collaborate across APAC time zones and travel internationally quarterly, sometimes for up to two weeks around major launch milestones. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring general-purpose AI benefits all humanity, pushing AI capabilities boundaries and safely deploying them through products. The company values diverse perspectives and is an equal opportunity employer, complying with applicable laws and policies regarding background checks and fair chance employment.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from the U.S. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In the United States, the base compensation range for this role is USD $154,445 - USD $185,334. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we are looking for candidates from Canada. Residents of Quebec are not eligible for this role. The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent infrastructure and automation platform that powers our Marketing Operations organization. You’ll build multi-agent architectures, LLM integrations, and backend services that connect AI models to internal and third-party data platforms. You’ll ship production systems that teams depend on daily. This is a high-autonomy role where you own the technical direction. You’ll identify the highest-leverage problems across Marketing, RevOps, and SDR teams, design the solutions, and ship them. You’ll define the technical direction for the automation platform (data models, API contracts, shared libraries, reference architectures) and partner with Data Engineering, GTM Systems, and Field Operations to build scalable, self-service automation that eliminates manual work and drives operational efficiency. What You'll Be Doing Agentic Systems & AI Infrastructure Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation Build modular, composable agentic systems using orchestration frameworks (LangChain, CrewAI, Anthropic MCP, or similar) that operate 24/7 across teams Develop reusable agentic skills that agents invoke across interfaces (Slack, dashboards, internal apps, CLIs) Implement observability and feedback loops including logging, performance metrics, prompt iteration, model evaluation, and cost management Establish governance and compliance standards for AI workflows including access controls, audit trails, PII handling, and human-in-the-loop escalation paths Systems Integration & Backend Services Build MCP servers, APIs, CLIs, and microservices connecting AI models to business systems (BigQuery, Slack, CRMs, email, calendars, analytics tools) Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal knowledge bases, customer data, and real-time business context Build serverless or containerized services (GCP Cloud Functions, Cloud Run) that scale with usage and integrate with Grafana's cloud infrastructure Automation & Workflow Enablement Partner with RevOps, Demand Generation, Regional Marketing, and SDR teams to scope high-impact automation problems, identify bottlenecks, and build solutions with measurable business outcomes Design and deploy workflows using orchestration tools (n8n, Workato, or custom platforms) with CI/CD, testing, and production reliability standards Build systems designed for self-service with documentation, playbooks, and enablement materials that let partner teams operate independently We invest heavily in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI, OpenAI Codex, and others of your choice within security guidelines). We encourage pragmatic AI-assisted development paired with strong code review and quality standards. What Makes You a Great Fit 8+ years of software engineering experience with depth in backend development, systems integration, or data/analytics engineering 2+ years hands-on experience applying LLMs/AI to production workflows, not just prototypes Strong proficiency in Python and JavaScript/Node.js with Git-based workflows, code review practices, and testing discipline Hands-on experience with LLM frameworks and patterns including prompt engineering, RAG, function calling/tool use, structured output parsing, and evaluation Experience building and operating multi-agent systems at scale including agent decomposition, orchestration patterns (sequential chains, router/dispatcher, parallel fan-out), state management, and production monitoring You diagnose business problems before writing code. You think in workflows and outcomes, not just functions. Deep familiarity with Google Cloud Platform, BigQuery, and serverless/containerized services (Cloud Functions, Cloud Run) Understanding of LLM failure modes and production mitigations including confidence thresholds, fallback logic, human escalation, and cost/latency management Proven ability to identify high-leverage problems, push back on low-impact requests, and deliver end-to-end with minimal direction Fluent with AI-assisted development tools (GitHub Copilot, Cursor, Claude Code). You use AI to build AI systems Clear technical communicator who can explain complex systems in simple terms to both engineers and business stakeholders Bonus Points Experience with vector databases or retrieval pipelines (Pinecone, Weaviate, ChromaDB, Qdrant, pgvector) Familiarity with marketing or sales platforms (Salesforce, Customer.io, HubSpot, Marketo, Outreach) Experience with frontend frameworks (React, Slack Block Kit) for building user-facing AI tool interfaces Observability tooling for AI systems (LangSmith, Weights & Biases, custom evaluation frameworks) Experience with workflow orchestration platforms (n8n, Temporal, Prefect, Airflow) Familiarity with Model Context Protocol (MCP) or similar standards for connecting AI systems to data sources Prior work automating marketing, sales, or customer success workflows in a B2B SaaS environment Active in open-source communities. Grafana is built on OSS and we value engineers who share that DNA In Canada, the base compensation range for this role is CAD 164,490 - CAD 197,389 . Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Tel Aviv, Israel Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're building the next chapter of AI-native craft and creativity - where craft and technology meet. Our unified platform bridges the gap between AI capabilities and human creativity, and lets professional creatives and designers harness the power of the world’s leading AI models without losing precision, expression, or soul. Together, we’re building tools that help people move faster without sacrificing quality, precision, or craft - a platform where AI supports creativity instead of flattening it. We’re looking for experienced full-stack engineers to join the Figma Weave team. Whether you're enabling real-time collaboration for thousands of designers, building systems that make design tools robust, performant, and scalable, creating new ways for teams to design and share ideas seamlessly, or powering the features that drive product growth, your work will directly impact the experiences of our users - from startups to Fortune 500 companies. You’ll contribute to our core mission by designing and scaling reliable, secure, and intuitive systems across Figma Weave. Our teams are highly collaborative, work cross-functionally, and focus on building features that support our rapid growth, global expansion, and evolving product surface area. What you’ll do at Figma Weave: Design, build, test, and ship high-quality features across the stack, using technologies like TypeScript, React, Ruby, Go, and more Own key parts of the product that impact user experience, internal productivity, or revenue operations Collaborate with cross-functional partners in product, design, data science, support, and sales to shape product direction and solve complex problems Operate and monitor the systems you build, with a strong focus on reliability, security, performance, and user experience Contribute to team culture by mentoring peers, providing feedback, and helping foster a collaborative and inclusive engineering environment We’d Love to Hear From You If You Have: 5+ years of professional software engineering experience, with a track record of shipping and maintaining complex systems or products in production Full-stack experience with modern front-end frameworks (e.g., React/TypeScript) and back-end technologies (e.g., Ruby, Go, Node.js, PostgreSQL) Strong collaboration and communication skills, with experience working effectively across functions While it’s not required, it’s an added plus if you also have: Experience with Rust, WebAssembly, or graphics rendering technologies Prior work on extensibility platforms (plugins, APIs, widgets), or experience contributing to open source developer communities Passion for crafting excellent developer or user experiences, and an eye for elegant, maintainable architecture Enthusiasm for learning and teaching - whether mentoring teammates, leading initiatives, or sharing knowledge in code reviews or pairing sessions 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. At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE  Most businesses have no idea if they're overpaying for their software. They renew on autopilot, negotiate without benchmarks, and discover vendor alternatives only after the contract is already signed. Ramp is uniquely positioned to change that. We see billions of dollars of real-world spend and contract data across thousands of companies, and we're turning it into an intelligence layer that tells businesses exactly what they should be paying, which vendors to consider, and when to act. As PM for Vendor Intelligence & Marketplace, you'll own the product that powers this: our price benchmarking engine, contract analysis (extracting structure and risk from vendor agreements), and the emerging B2B marketplace that connects Ramp's buyer base to the right vendors at the right price. You'll be one of the first PMs building a true buyer-side intelligence layer inside a financial platform, replacing renewal anxiety and negotiation guesswork with data-driven, AI-powered decisions. Please note that this role requires in-person presence at our NYC or SF office at least 2 days/week. WHAT YOU’LL DO - Own the strategy and roadmap for price benchmarks and contract intelligence, turning Ramp's aggregated spend and contract dataset into the most accurate price benchmarking product on the market. - Build the B2B marketplace primitives that let Ramp's customers discover, compare, and engage with the right vendors, and give vendors a channel to reach Ramp's buyer base with transparent, competitive pricing. - Design "decision moments": surfaces inside Ramp that deliver the right benchmark, contract context, or vendor alternative at exactly the moment a customer is about to sign, renew, or spend. - Partner with data science to build the extraction, normalization, and modeling pipelines that power price benchmarks, going from raw contract PDFs and spend data to unit-normalized, SKU-level intelligence a customer can act on in a negotiation. - Define the evaluation methodology, quality bar, and feedback loops for AI-powered contract analysis, ensuring the accuracy and explainability that enterprise customers require. - Cover the full vendor lifecycle: discovery and intake through price negotiation, contract signing, and renewal, with the right intelligence surfaced at each step. - Develop deep understanding of how procurement, finance, and legal teams evaluate, select, and renegotiate vendors, and translate that into sharp product bets with clear customer outcomes. - Drive cross-functional alignment on dependencies and launch readiness: GTM enablement, customer communications, compliance review, and supportability. WHAT YOU NEED - BA/BS in a technical or analytical field (Computer Science, Engineering, Analytics, Mathematics, Economics, or related). - 5+ years of product management experience, ideally with products where data quality and customer trust are the core value proposition. - Sharp product judgment on data products and marketplaces: you understand flywheel dynamics, network effects, coverage-versus-accuracy tradeoffs, and the cold-start problem. - AI fluency: hands-on experience building AI features, comfort with LLM-based extraction and retrieval, evaluation methodology, and human-in-the-loop design. - Strong commercial instincts: you understand how businesses buy software, what levers drive negotiation outcomes, and why price transparency changes behavior. - Track record building products where trust is earned over time: explainability, auditability, graceful degradation, and clear user controls. - Comfort working in technical environments (Figma, SQL, Git) and prototyping quickly with modern AI tools (Claude Code, Cursor). - Clear, direct communication across technical and non-technical stakeholders; ability to make a crisp case for a product bet without a deck full of slides. NICE-TO-HAVES - Experience building price benchmarking, market intelligence, or contract analytics products, anywhere from procurement software to B2B SaaS to fintech. - Marketplace experience: supply/demand matching, seller acquisition, buyer discovery, and the trust primitives that make two-sided systems work. - Document understanding: OCR, LLM-based extraction, normalizing structured data from unstructured contracts. - Background in procurement, vendor management, or enterprise SaaS buying and selling, either as a PM or as a practitioner. - Familiarity with compliance-adjacent domains: vendor due diligence, security reviews, NDAs, audit trails. - Experience at a high-growth startup taking 0→1 products to scale. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

About Mistral: At Mistral AI, we develop AI technology to simplify tasks, enhance learning and creativity, integrating seamlessly into daily work life. We offer high-performance, optimized, open-source AI models and solutions for enterprise needs on-premises or in cloud. Our AI assistant product is le Chat. Our teams are distributed across France, USA, UK, Germany, and Singapore. Role Summary: Seeking an experienced product manager to define and execute strategy for Forge, a product enabling customers to build, fine-tune, and deploy custom AI models at scale. Forge powers model fine-tuning, reinforcement learning, and post-training workflows, translating research into enterprise-ready solutions. Responsibilities: — Define and evangelize product strategy for Forge aligned with company goals and market opportunities — Lead market and UX research to identify unmet needs and trends in AI post-training capabilities — Own product lifecycle from ideation to launch and iteration, balancing speed, quality, and user experience — Collaborate with design and research to create intuitive, impactful user experiences using data and feedback — Work with marketing and sales on go-to-market strategies including pricing, positioning, and adoption — Align engineering, design, and business teams on priorities, trade-offs, and timelines — Maintain a dynamic roadmap delivering quick wins and long-term goals Requirements: — 5+ years product management experience in fast-paced, ambiguous environments with AI/ML or infrastructure solutions — Strong understanding of AI training pipelines, reinforcement learning loops, and model deployment architectures — Expertise in AI model lifecycle management including fine-tuning, evaluation, and serving — Experience with Infrastructure as Code, containerization, scalable deployment (on-prem, VPC, cloud) — Familiarity with Kubernetes/Slurm is a strong plus — User-focused with data-driven problem solving — Proven cross-functional influence without direct authority — Strong communication skills to explain complex technical concepts clearly — Adaptability to dynamic priorities — Collaborative, low ego, high emotional intelligence — Self-directed with ownership of outcomes Preferred: — Strong knowledge of model training and architectures — Proficient coding skills recommended — Kubernetes expertise recommended — Experience with product-led growth strategies — Founder or early-stage PM experience — Ability to prototype or dive into code Location & Work Format: — Based in Paris, France or London, UK offices — Remote work possible from France, UK, Germany, Belgium, Netherlands, Spain, Italy — Encouraged to work in office at least 3 days per week Conditions: — Competitive salary and equity (stock options) — Health insurance — Transportation allowance — Sport allowance — Meal vouchers — Private pension plan — Generous parental leave — Visa sponsorship

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The mission of the Engineering TPM team is to drive Figma's most important cross-company engineering efforts, and we are looking for a Technical Program Manager (TPM) to partner with our Infrastructure team. The TPM provides oversight of the most important efforts that require coordinated technical execution across the Org to succeed. This is a role focused on enabling Figma's infrastructure teams to scale, improve performance, and deliver on critical projects. These large-scale efforts will involve collaboration across numerous backend, infrastructure, and security teams and cross-functional stakeholders, prioritization, decision-making, tracking execution, and driving operational excellence. We're looking for someone that can work in a TPM greenspace environment and is passionate about people, technology, and program management. Progress over process is our mantra. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead the execution, coordination, and risk management of Figma's infrastructure projects, ensuring seamless integration with minimal performance impact Drive key infrastructure initiatives, including reliability, storage, distributed systems, cloud-native performance improvements, and compliance programs (e.g., encryption key management, FedRAMP, SOC 2) Partner closely with engineering, security, compliance, and legal teams to ensure alignment and on-time delivery Track program milestones and ensure seamless delivery across multiple infrastructure teams, including data, caching, observability, and security engineering Provide regular updates to executive leadership, external partners, and internal teams on the status of infrastructure programs, including risks, blockers, and dependencies Develop and drive best practices in infrastructure program management, improving visibility into progress, risks, and technical dependencies Facilitate large-scale testing and rollout strategies for critical infrastructure changes to minimize downtime and ensure high system reliability Translate technical constraints and risks into executive-level communications for senior leadership and external stakeholders We’d love to hear from you if you have: 8+ years in Infrastructure TPM or related roles (cloud engineering, SRE, or infra-focused software engineering), with hands-on experience in cloud-native architectures and distributed systems (AWS, GCP, or similar) Deep technical expertise across infrastructure components - storage (S3, RDS, DynamoDB), caching (Redis), search (OpenSearch), and event-driven systems (Kafka) - with the ability to reason across org-level goals, architectural trade-offs, and component-level details Track record driving large-scale infrastructure programs such as migrations, cost optimization, encryption/key management, and reliability initiatives for high-availability, business-critical services Strong cross-functional program management skills, including coordinating multi-team engineering orgs, tracking performance bottlenecks, optimizing infrastructure SLAs, and establishing PM best practices in ambiguous environments Proven stakeholder management, with experience engaging external partners (cloud providers, enterprise customers) and translating complex technical challenges into clear executive-level communications While it’s not required, it’s an added plus if you also have: A track record of setting up and scaling TPM functions or program management practices within an engineering organization Experience working on high-visibility enterprise security and compliance programs (SOC 2, FedRAMP, encryption key management) Infrastructure incident management and analysis experience Experience working with external enterprise partners on technical programs (e.g., Apple, AWS, Google) Background in software engineering or site reliability engineering (SWE/SRE-to-TPM career path) 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: $185,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's Business Systems team enables our go-to-market, finance, and operational functions by building and scaling the systems that power the business. As we continue to grow, we're looking for a Director of Business Systems to lead four established functions: GTM Systems, Financial Systems, Integration Engineering, and ITGC. In this role, you'll partner closely with leaders across Finance, Revenue, Legal, Security, and People to drive business systems strategy, improve operational efficiency, and scale the platforms and processes that support the company. You'll also play a key role in defining how AI is integrated into Business Systems workflows, tooling, and service delivery. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Lead and develop a team of approximately 20 professionals across GTM Systems, Financial Systems, Integration Engineering, and ITGC, including managers and senior individual contributors Define and execute the Business Systems strategy, ensuring systems, processes, and roadmaps support Figma's growth and operational needs Partner with stakeholders across Sales, Marketing, Legal, Partnerships, Finance, Accounting, and Procurement to prioritize initiatives, manage intake, and deliver business outcomes Represent Business Systems in executive and cross-functional forums, translating technical concepts, risks, and tradeoffs into clear business recommendations Define and operationalize the team's AI strategy, including AI-assisted development, automation, documentation, and workflow optimization Sponsor and oversee major business systems implementations, integrations, and transformation initiatives Drive operational excellence through scalable governance, controls, and process improvements across the Business Systems portfolio We'd love to hear from you if you have: 10+ years of experience leading business systems, enterprise applications, or related technology functions, including experience managing managers and senior individual contributors Deep expertise across quote-to-cash processes and the platforms that support them, including Salesforce, NetSuite, and billing or revenue systems Experience operating in a SOX-compliant environment, including ownership of or partnership with ITGC programs Demonstrated success building and developing high-performing teams, operating models, and cross-functional partnerships Experience defining and implementing technology strategies that leverage automation, AI, or emerging technologies to improve business outcomes While it's not required, it's an added plus if you also have: Background in high-growth SaaS, with exposure to public or post-IPO operating environments Built programs, processes, or team practices that measurably improved organizational effectiveness, engagement, or delivery outcomes 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: $258,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Tokyo, Japan WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As a Forward Deployed Engineer on Notion’s Services team, you will lead the hands on technical delivery of our most complex customer engagements. You will design, build, and deploy production ready solutions that help enterprise customers integrate Notion as the operating layer for their business.   You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments. This includes writing and maintaining custom code, designing and deploying production-grade custom agents and AI workflows with MCP, Agent APIs, and Notion’s automation and execution infrastructure, building data pipelines and resolving complex challenges around scale, permissions, and governance.   You’ll embed with enterprise customers to design and build solutions that integrate Notion deeply into their technical and operational environments.   This is a customer-facing engineering role for someone who is comfortable writing code, debugging technical issues, explaining tradeoffs to stakeholders, and turning ambiguous customer problems into scalable technical solutions. Your work will help shape best practices for how we support complex customer needs and ensure Notion’s platform is ready for scale.   This role is based in Tokyo, Japan. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.   WHAT YOU'LL ACHIEVE - Own the hands-on technical delivery of customer engagements, including deep technical discovery, requirements gathering, solution design, and end to end implementation. - Act as a trusted technical advisor, helping customers make informed architectural decisions and identify opportunities to expand and deepen their use of Notion. - Design, build, and operate custom agents, integrations, automations, and data pipelines that connect Notion with customers’ systems and workflows. - Lead the design and execution of large-scale content and data migrations, including discovery, scoping, data modeling, transformation logic, validation, and post-migration optimization. - Work directly with customer engineering, IT, security and business stakeholders to gather technical requirements, identify constraints, evaluate feasibility, and make sound architectural decisions that maximizes the value of Notion within their broader technical ecosystem. - Troubleshoot complex implementation issues across APIs, integrations, automation logic, data quality, permissions, authentication, system limits, and customer specific environments. - Design and operate feedback loops with Product, CX, and Engineering, translating real-world implementation challenges into actionable insights, technical requirements, and tooling improvements that directly influence Notion’s Product Roadmap and our Customers. - Build reusable technical assets, including migration tooling, integration patterns, reference implementations, discovery frameworks, technical standards, scripts, and internal delivery tooling. - Help define how Services delivers complex technical implementations at scale by improving methodologies, scoping artifacts, build patterns, technical documentation and engineering best practices.   SKILLS YOU'LL NEED TO BRING - 5+ years of experience in customer-facing or forward deployed engineering role or a similar hands-on technical role. - Proficiency in at least one programming language such as Java, JavaScript, Node.js, SQL, or Python and comfort with writing production-quality code in customer-facing or internal engineering contexts. - Hands-on experience with APIs and data integration. - Ability to lead technical discovery with customers, assess feasibility, identify risks, scope technical work, estimate effort, and translate ambiguous requirements into an executable plan. - Strong debugging and problem-solving skills, with the ability to isolate root causes across code, APIs, permissions, integrations and customer specific configuration. - Strong written and verbal communication skills, with the ability to engage both technical and business audiences effectively. - A track record of delivering customer value by translating technical challenges into solutions that drive outcomes for customers at scale.   NICE TO HAVES - Experience working in professional services, preferably in a startup or high-growth environment. - Experience deploying AI agents autonomously in complex coding or business workflows. - Experience designing or implementing AI-powered workflows, including work with MCPs, APIs, LLM applications, prompt engineering, retrieval/RAG systems or workflow orchestration. - Background in developing technical frameworks, discovery methodologies, or internal tooling from the ground up. - Experience with ETL/ELT workflows, data transformation, schema mapping, validation scripts, or large-scale content migration tooling. - Strong history of collaboration with product and engineering teams, including influencing roadmaps or architectural decisions. - Experience supporting pre-sales or early engagement phases, including technical discovery, migration scoping, feasibility analysis, effort estimation, and building prototypes or custom scripts to validate approaches. - Strong track record of successful enterprise customer implementations. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

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 Team The Growth & Monetization team focuses on how developers discover, adopt, and scale with LangChain’s products. We work across the full stack to improve onboarding, activation, and usage while building the systems that power billing, pricing, and monetization. This team partners closely with product, design, and go-to-market teams to understand developer behavior and translate those insights into product improvements that drive adoption and revenue. Our work directly shapes how developers and organizations move from experimentation to production on the LangChain platform. About the role LangChain is hiring a Senior Fullstack Engineer to build the foundational product features and integrations that power user acquisition, rapid experimentation, and self-serve expansion. This is a high-impact 0→1 role on a newly formed team responsible for building growth systems from the ground up. You’ll work closely with product, design, GTM, and analytics to streamline activation, optimize packaging, and deliver a seamless growth story for developers and enterprise customers alike. This role will be in person 5 days/week in New York City. What you'll do - Lead projects across our stack (React, TypeScript) while working with backend APIs (Python, Go) - Build polished, responsive user interfaces for onboarding, self-serve upgrades, and usage dashboards that delight users - Design and execute rapid, client-side UI experiments (A/B tests, feature flags) targeting key activation and conversion metrics - Partner with Product and Design to translate complex user journeys into simple, intuitive web experiences - Implement clean client-side event tracking and behavioral analytics to understand developer journeys - Build growth levers, including smart upgrade triggers, usage notifications and personalized, contextual experiences What you'll bring - Strong mastery of modern frontend development (React, TypeScript, CSS/Tailwind) - Solid fullstack fundamentals (working with REST/GraphQL APIs, Python/Go backends, database querying and caching) - Exceptional UX intuition and a sharp eye for visual polish, micro-interactions, and developer-focused user journeys - Experience building or optimizing frontend growth engines (e.g., onboarding wizards, conversion funnels, checkout flows, A/B testing frameworks, usage metering, subscriptions) - Startup DNA with a desire to ship fast, iterate based on user data, self-directed and take end-to-end ownership - Bonus: Experience building tools for developers, PLG SaaS platforms, or design systems - Bonus: Familiarity with LLMs, GenAI applications, or agentic frameworks Compensation - Salary Range: $165,000-$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.

Architecture & Design — Lead the design and implementation of core protocol components, from initial prototypes to production-grade deployment. Protocol Development — Develop and optimize data structures, consensus algorithms, and cryptographic implementations (e.g., zero-knowledge proofs). Security & Verification — Identify attack vectors, failure modes, and performance bottlenecks; apply formal verification or simulation to validate designs. Cross-Functional Collaboration — Partner with researchers, product managers, and security teams to translate roadmaps into precise technical specifications. Mentorship & Quality — Drive code quality through design reviews, documentation, and technical leadership; mentor junior engineers. Technical Skills Advanced proficiency in systems-level languages used in blockchain (Rust, Go) and smart contract languages (Solidity). Demonstrated track record of open-source contributions in the Web3 ecosystem. Domain Knowledge Strong background in distributed systems, peer-to-peer networking, and modern blockchain primitives (rollup technologies, account abstraction). Up-to-date with rapidly evolving standards such as Ethereum upgrades and inter-blockchain communication protocols. Problem-Solving Proven ability to debug complex issues across network and application layers. Experience making high-level architectural tradeoffs across performance, scalability, and security. Communication Ability to document system improvements and communicate technical concepts to both technical and non-technical stakeholders. Fluency in English, and Korean proficiency would be a plus. Hiring Process Resume Screening → 1st Interview → 2nd Interview → Salary Negotiation Contract Type Singapore: Full-time Employee (Onsite) Worldwide: Service Contractor (Fully Remote)

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Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma's Security team is growing, and we're looking for a Security Operations Manager to lead the strategy and execution of our security operations program. In this role, you'll build and scale the systems, processes, and tooling that help protect Figma and our community. You'll partner closely with Security Engineering, Platform Security, IT, GRC, and Legal to strengthen our detection and response capabilities, improve operational resilience, and help shape the future of our DART and SOC functions. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Own Figma's security monitoring and incident response program, from detection engineering through post-incident review and continuous improvement Build and automate security operations workflows, including alert triage, enrichment, investigation, and response actions using SOAR and custom tooling Develop and maintain incident response run books, escalation procedures, and communication plans for security events of varying severity Lead incident response preparedness initiatives, including tabletop exercises, red team engagements, and response capability assessments Improve the effectiveness of our SIEM and SOAR platforms by reducing noise, increasing signal fidelity, and closing detection coverage gaps Build and operationalize threat intelligence capabilities to identify adversary behaviors, prioritize investments, and strengthen detection and response programs Partner with Legal, Privacy, and Communications teams to support breach notification and regulatory response obligations during significant security incidents Drive security operations strategy through vendor management, operational metrics, and cross-functional initiatives spanning IAM, vulnerability management, DLP, and exposure reduction We'd love to hear from you if you have: 7+ years of experience in security operations, incident response, or a related security engineering function Hands-on experience building and automating detection and response workflows using scripting, APIs, or security automation platforms Deep expertise with SIEM and SOAR technologies in a cloud-native or SaaS environment Demonstrated success building, scaling, or significantly improving a detection and response program Experience leading complex security incidents and partnering with Legal, Privacy, and business stakeholders during high-impact events While it's not required, it's an added plus if you also have: Operated in a public company environment with SOX, ISO 27001, SOC 2, or FedRAMP requirements Applied AI risk management frameworks such as NIST AI RMF, OECD AI Principles, or ISO 42001 Utilized AI-powered tools to automate security operations workflows and improve team efficiency 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: $204,000 — $317,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: NYC (SoHo) 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 the Role Replit is experiencing extraordinary growth across our customer base and seeking a Mid-Market Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal. We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth. In this role you will: - Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention - Champion customer success by helping businesses realize the transformative potential of AI-powered software creation - Lead onboarding programs that accelerate customer time-to-value and platform adoption - Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools - Execute renewal processes with a focus on expansion and long-term partnership development - Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot) - Gather and communicate valuable customer feedback, championing their interests within Replit - Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance Required skills and experience: - 3-5+ years of experience in Customer Success, Commercial Account Management, or technical sales role, preferably in SaaS or developer tools - Excellent communication skills, with the ability to explain technical concepts to non-technical audiences - Proven track record of meeting or exceeding renewal and expansion revenue targets - Experience managing customer relationships from onboarding through renewal and expansion - Proficiency in using CRM systems and customer success tools (e.g., Hubspot) - Ability to quickly learn and articulate the value of new technologies to diverse customer segments - Strong problem-solving skills and consultative approach to customer challenges - Self-motivated with excellent time management and organizational skills for managing multiple accounts - Passion for technology and staying current with industry trends, particularly AI and automation - Experience with or strong interest in AI is a plus - Comfort with data analysis to drive customer success metrics and identify growth opportunities Nice to have: - You're an active Replit user - You've worked at an early-stage startup or in developer tools - Experience with rapid prototyping, product development workflows, or business process automation - Background in customer success at companies serving technical or semi-technical user bases - Degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience) Tools + Tech Stack for this role: - Replit - Hubspot CRM - Customer success and analytics platforms - ZoomInfo - LinkedIn Sales Navigator - Hashboard, Hex - Various customer communication and project management tools This role may not be a fit if: - You're not passionate about helping customers succeed and driving long-term relationships - You lack an understanding of the software development lifecycle or have little interest in learning about technical workflows - You're not excited about AI and its potential to transform how businesses operate - You don't enjoy being in client-facing roles where 80% of your day is talking to customers - You prefer transactional interactions over building deep, strategic relationship This is a full-time role that can be held from our NYC office. This role has an in-office requirement. 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: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Marketing Engineer, AI Deployment will design and build programmatic go-to-market systems and AI-powered workflows that improve efficiency, impact, and execution across Marketing. This role sits at the intersection of operations, data, and marketing with a focus on turning strategy & manual work into scalable, automated systems. This is not a traditional operations role. It is a systems-focused role dedicated to building the infrastructure, workflows, and intelligence layers that power a modern, product-informed revenue and efficiency engine across marketing. The ideal candidate is an expert in building interconnected data layers optimized for AI, driving AI adoption, and translating complex business challenges into scalable, automated technical workflows that directly drive revenue and operational efficiency. Success in this role is measured in three ways: agents live—the count of AI systems you've shipped into real, recurring use by marketers; hours saved—manual work returned to the org and reinvested in higher-leverage problems; and revenue driven—pipeline, conversion lift, or deal velocity directly attributable to what you've built. Everything else flows from those three numbers. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Identify and define high-impact AI use cases across marketing, taking them from prototype to full deployment Coach and partner with marketers to take them from novice to full workflow transformation and self-sufficiency Build custom tools, agents, automations, and integrations (APIs, MCP Servers) tailored to each operator's responsibilities—campaign ops, lifecycle, content production, intelligence reporting, and beyond Own and evolve a GitHub-managed marketing AI cortex of prompts, skills, context files, and agents. Treat it like a product: versioned, documented, and continuously improved Recognize patterns across your cohort and systematically productize what works—tools built for one marketer should become reusable for peers, then the broader org Measure what works. Define evaluation criteria, instrument AI workflows, and track adoption to identify which agents, prompts, and skills drive impact—and retire the ones that don't Document every workflow, tool, playbook, and transformation pattern so knowledge scales beyond any one person Stay ahead of AI trends in Generative AI, LLMs, and agentic systems—and share wins visibly with your cohort and leadership to build momentum and inspire adoption We’d love to hear from you if you have: A demonstrated track record as an AI builder—agents, LLM workflows, automations, or prompt systems you've shipped into production and seen real users adopt. We care more about what you've built than how many years you've spent in any one function Deep, hands-on expertise in Gumloop (preferred) or equivalent agent orchestration platforms such as n8n, Workato, or Zapier—including authoring shared workflow templates that non-technical users can adopt and modify on their own Experience building and maintaining shared prompt libraries, skill catalogs, or AI-readable knowledge bases—bonus if you've managed them in version control (GitHub, etc.) with proper documentation and evals A bias toward measurement—you instinctively instrument what you build, define what “good” looks like, and iterate based on signal rather than vibes 5+ years of experience building systems for go-to-market teams—Marketing Operations, Revenue Operations, Sales Operations, AI Transformation, or Technology Transformation. We're open to less time-in-seat if your AI builder portfolio is strong While it’s not required, it’s an added plus if you also have: Operate marketing automation and composable CDP tools (e.g. Customer.io, Hightouch, Census) with reverse ETL workflows Query data using SQL across warehouses like Snowflake or BigQuery, with light scripting in Python or TypeScript for integration prototyping Lead cross-functional enablement, training, and change-management programs that translate stakeholder needs into structured AI workflows Apply product-led growth principles to shape product-informed marketing motions and campaign strategies Engage with Figma's product ecosystem and the broader design and developer tooling landscape 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. #LI-Remote #LI-JB6 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 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Seattle, WA 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 - 5+ 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: $165,000–$380,000 USD Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles. 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.