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Location: United Kingdom (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. The Opportunity: The Field Engineering team works closely with our Presales Solution Engineering team, as well as Product and Marketing, to ensure the SE's have the tools, collateral, enablement and experts they need to close business. If you've ever served in a Technical Presales role for a software company, you know just how much knowledge you are expected to have, demos you need to show, workshops you need to execute on, etc. The Field Engineering team maintains the backend systems, content creation and deep subject matter expertise that enables the Solution Engineering team to scale and focus on direct customer selling, community building, learning, and other adoption and revenue-focused activities. As a Staff Field Engineer, you are viewed by Sales and FE leadership as being in the top 20% of the field team, operating with little to no supervision on the company's most strategic engagements and serving as a mentor to Senior Field Engineers and Solution Engineers. What You'll Be Doing: Advise on and support some of Grafana's most strategic deals and customer engagements, collaborating with Solution Engineers and Observability Architects on the company's most complex technical challenges with no supervision. Serve as a company-recognized Subject Matter Expert (SME) in one area of the Grafana Platform, and deep knowledge across multiple Grafana technologies, building new reference architectures from scratch and overcoming competitive objections in the field Proven ability to craft and deliver compelling value based stories to help the sales team technically close deals. Own end-to-end creation and curation of technical training content (workshops, how-to guides, demo scripts) for one or more product areas, and establish a repeatable content review cadence in partnership with Enablement and Product Management to keep materials aligned with the product roadmap Architect, engineer, and maintain a live production environment that supports demo, workshop, and POV infrastructure at scale, ensuring reliability, security, and uptime. Act as a key influencer in product direction, helping key customers adopt newer technologies, and represent Field Engineering in Product planning cycles to surface enablement gaps and shape investment priorities Serve as a presenter for Strategic Marketing events (presentations, panels, webinars, conferences, blogs) as an ambassador for Grafana Provide technical guidance for a specific product area to Solution Engineers, Observability Architects and customers, and present best practices to customers Help update and improve product documentation, and contribute back to the organization through white papers, blogs, and product direction input Mentor Senior and Staff Solution Engineers and Field Engineers What Makes You a Great Fit: Minimum of 8+ years of related technical experience, including 2+ years in a Senior Field Engineer role (or equivalent), serving as a SRE, Developer, Architect and/or successful presales Solution Architect. OSS development experience is a plus. Excellent understanding of Grafana and associated technologies, with recognized Subject Matter Expert (SME) depth in at least one area of the Grafana Platform; deep working knowledge across multiple technologies in the Observability space (e.g. Grafana, Loki, Prometheus, Tempo, Elastic, Splunk, Datadog, etc.) Expert-level knowledge in at least one adjacent domain (e.g. IoT, AI/ML) beyond the core observability stack, and demonstrated domain knowledge across the broader Grafana Ecosystem Has created and maintained at least one product training asset (workshop, guide, or structured content) that has been adopted by the broader technical field organization Demonstrated experience partnering cross-functionally with Product Management and Engineering to produce and maintain field-facing enablement content and influence roadmap priorities Comfortable with at least one modern programming language, and a strong understanding of the modern software development lifecycle, including debugging and investigation Working familiarity with Linux, including common tools Practical experience using AI tools to generate and review code and to accelerate day-to-day tasks, while retaining full ownership of final decisions and quality criteria for the resulting work Able to architect a modern application on one of the primary cloud providers (AWS, Azure or GCP), including IaC tools such as Terraform, understanding the tradeoffs between build vs. buy, and the technologies that make up that architecture such as Kubernetes, Docker, Serverless, Microservices and more Proven track record building and delivering strategic technical content (workshops, demos, decks, webinars, videos) for technical audiences, including complex POVs and content that overcomes competitive objections Deep understanding of the sales process, with the ability to anticipate and proactively address challenges in complex, strategic sales cycles In the UK, the OTE compensation range for this role is £130,000 - £155,000.  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: Lithuania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Romania OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: Pune, India Workplace: Hybrid Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. Solvd is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. We are looking for an experienced Snowflake Native App Architect to design and own the end-to-end architecture of a workforce intelligence platform being re-built as a native application on the Snowflake Marketplace. This is a technically broad, fast-paced engagement with a hard deliverable: a published, Snowflake-approved Marketplace application. You will work alongside a cross-functional team spanning data engineering, backend, DevOps, and QA — guiding all architectural decisions and leading the Snowflake Security Review process from start to finish.   WHAT YOU'LL DO Architecture & Design - Design the Application Package structure per Snowflake Native App Framework specifications, including permission declarations, egress declarations, and manifest. - Architect a cloud-agnostic strategy — Azure-first, with modular extensibility for AWS and GCP. - Design the end-to-end data flow from a desktop collector through to the customer's Snowflake environment, documenting all encryption points and access controls. - Evaluate and recommend migration tooling for the Talend → dbt/Snowflake transition. Platform & Compliance - Lead preparation for the Snowflake Security Review — package structure, data access patterns, network egress documentation. - Own provider account setup and the versioning/release architecture. - Produce the architecture diagram and compliance documentation package required for the Marketplace listing.   WHAT YOU BRING - 7+ years of experience in cloud or data architecture. - Hands-on experience with Snowflake, including the Native App Framework or Snowpark. - Proven track record delivering architecture documentation for platform reviews or compliance processes. - Experience publishing or contributing to a Snowflake Marketplace application. - Familiarity with dbt, Streamlit, or Snowflake Cortex. - Experience with Talend or similar ETL migration projects. - Strong written communication skills — this role produces documentation that goes to external reviewers. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

About garden3d: We are a worker owned creative collective innovating on brands, IRL communities, IoT devices, and cross platform apps. We share profit, open source everything, spin out new businesses, and invest in exciting ideas through financial and/or in-kind contributions. Our clients include Google, Stripe, Figma, Hinge, ACLU, Mozilla, The Nobel Prize, MIT, Etsy, and others. We operate a global decentralized community space collective called Index Space. About Sanctuary Computer: We build a technology shop prioritizing close collaboration between client and craftsperson, working on design-forward websites, robust web apps, and native mobile development. Who we’re looking for: Senior Shopify Developer with deep e-commerce expertise and modern frontend engineering skills. Responsibilities include: — Collaborate with Technical Leads and Designers to meet custom e-commerce and technical needs. — Build and maintain high-performance storefronts using custom Liquid (Online Store 2.0) and headless architectures (Shopify Storefront API, GraphQL, Hydrogen/Remix, Next.js). — Implement responsive, accessible, pixel-perfect interfaces based on design specs with attention to interaction details and motion design. — Integrate storefronts with headless CMS (Sanity, Contentful), payment gateways, subscriptions, search, and third-party e-commerce APIs. — Optimize e-commerce performance focusing on Core Web Vitals, asset delivery, bundle size, and runtime efficiency. — Architect scalable, reusable component libraries and design systems. — Write clear documentation for store management, custom app integrations, and codebase maintenance. — Participate in project rituals including Sprint Planning, standups, code reviews, and retrospectives. Candidate profile: Happy, relaxed, easy to get along with, flexible except on work quality, smart workflow management, prefers deep work but participates in strategic conversations. Interests in design, art, music, food, or fashion are a plus. Must-Have Competencies: — 8+ years writing highly performant frontend code with focus on 95+ Lighthouse scores and Core Web Vitals. — Deep Shopify ecosystem mastery: custom Shopify themes (Liquid, JSON templates, Online Store 2.0), headless storefronts using Shopify Storefront API (GraphQL), Hydrogen/Remix, Next.js. — Expert-level TypeScript and modern CSS (Tailwind CSS, CSS Modules), animation libraries (GSAP, Framer Motion). — Experience integrating Shopify with headless CMS (Sanity, Contentful, Prismic) and third-party services (Klaviyo, Recharge, Algolia/Searchspring, Stripe). — Fluency with PaaS platforms: Vercel, Netlify, Shopify Oxygen. — Experience with state management (Zustand, Redux, Pinia) and API integration for cart state, multi-currency, checkout flows. — Building accessible (WCAG compliant), responsive interfaces with SEO best practices, testing frameworks (Jest, Playwright, Cypress), maintainable code. — Knowledge of WebSockets, caching strategies (Redis, CDN-level/Cloudflare), advanced image delivery. Nice-to-Have Competencies: — Custom Shopify App development using Node.js, Remix, GraphQL Admin API, Shopify CLI. — Shopify Plus & Enterprise features: Shopify Functions, Checkout Branding API, Shopify Scripts, B2B configurations. — Tracking & Analytics: server-side tracking, GTM, Meta Pixel, Customer Privacy APIs. — WebGL, Canvas & 3D: Three.js or similar. — Full-stack & API design: PostgreSQL, REST/GraphQL API, OAuth, JWT. — Client-facing and management experience. Compensation: $40/hr to $120/hr depending on seniority and leadership experience. Projects typically at least 8 full-time weeks. Interview process: Intro call, panel interview, reference call, then offer. Work culture: Transparency with profit & loss sharing, carbon negative studio, strong morals rejecting non-aligned work, async and decentralized communication, remote friendly, building open source and internal products. Application instructions: Submit complete and thoughtful application with relevant links.

Location: London, United Kingdom 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: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. This role will be based in London, UK. 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 commercial performance of your team across new logo ARR, expansion ARR, and UBP outcomes—accountable for both the headline numbers and the quality of execution that drives them - Coach SCs on the GTM builder motion: what great looks like in a first meeting (workflow diagnosis, current → future architecture), a second meeting (live build in Notion + value narrative), and through the full cycle to adoption hand-off - Contribute to and participate in the regional operating cadence: weekly pipeline reviews, deal support sessions, call reviews against the motion quality rubric, and forecast calls with senior leadership - Hire, onboard, and certify new SCs to the GTM builder motion—driving readiness from ramp through consistent execution, and managing performance with clarity when expectations aren't met - Partner with the regional BDR manager on pipeline strategy, outbound targeting, and qualification standards to ensure the team's book of business is healthy and growing - Partner with Outcomes leadership on adoption hand-offs, at-risk account management, and renewal strategy—owning the overall commercial arc for the region while collaborating on the execution that follows close - Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down SKILLS YOU'LL NEED TO BRING: - Track record as a quota-carrying B2B seller with direct experience in workflow design, live demos, or technical sales—you can coach the builder motion because you've run it yourself - Frontline sales management experience: built an operating cadence, ran performance management, and developed talent from onboarding through consistent overperformance - Strong coaching orientation: you can watch a demo or deal review and identify specifically what to change—not just whether the outcome was good, but why, and what the rep should do differently next time - Commercial instincts at the team level: able to read pipeline health, identify risk early, and drive urgency across a team without micromanaging individual deals - You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience selling or managing in a consumption or usage-based business where adoption signals matter as much as closed ARR - Track record building high-performing regional teams from an early stage: hiring to profile, structured onboarding, certification, and performance management Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is £294,000 per year. 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: Argentina; Poland; Brazil; Georgia; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Full Stack Engineer to join a fast-moving product team building a leading technology platform that powers complex transactions through intelligent, autonomous systems. You'll own features end to end — from API design through to UI — working across a modern TypeScript stack with GraphQL, React, and a strong emphasis on backend services and data layers. WHAT YOU'LL DO - Own features end to end, from design through to implementation and release. - Design, implement, and modify GraphQL APIs — schemas, queries, mutations, and resolvers — using Apollo Server. - Design and evolve backend services, including data access and caching layers. - Modify and extend database schemas as needed using ORMs and query builders. - Build user interfaces using React and TypeScript. - Write and maintain unit tests. - Modify and add end-to-end tests using Cypress. - Participate in sprint planning, reviews, and retrospectives within a 2-week sprint cadence. REQUIRED SKILLS & EXPERIENCE - Strong experience as a full stack engineer with a track record of owning features across the entire stack. - Fluency in TypeScript — frontend and backend. - Hands-on experience with React in a production environment. - Experience building and modifying GraphQL APIs using Apollo Server. - Experience working with Docker for local development and service packaging. - Familiarity with ORMs — Prisma, TypeORM, Objection.js, or similar — and query builders; experience with Knex is a plus. - Experience using Redis and common caching patterns. - Comfortable working across the full stack — frontend, backend, and data layers. PREFERRED QUALIFICATIONS - Experience with Next.js. - Familiarity with AI-assisted coding tools such as Claude, Gemini, or Codex. - Exposure to Kubernetes, Terraform, and Helm. - Experience working in fast-moving, agile product teams. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

About Niantic Spatial: Niantic Spatial develops geospatial AI and digital mapping technologies, including a proprietary database of over 30 billion posed images and a Visual Positioning System for precise positioning worldwide. They serve customers in robotics, public sector, energy, and industrial markets. About the Role: The Head of Talent Acquisition will lead and personally execute the recruiting function, reporting to the Chief People Officer. Responsibilities include full life cycle recruiting, recruiting operations, workforce planning, reporting, tools, external partners, and candidate experience. The role involves managing contract recruiting resources and designing and building the Talent Acquisition organization as the company grows. The position requires moving quickly without sacrificing quality and helping hiring teams focus on essential capabilities in deep-tech markets. What You'll Do: Full Life Cycle Recruiting - Manage a portfolio of searches across engineering, AI/ML, research, product, go-to-market, operations, and corporate functions, including executive and specialized roles. Handle all stages from intake to onboarding. Direct Sourcing - Develop creative sourcing strategies to engage passive talent in competitive markets and represent the company credibly. Executive Talent Advisory - Advise executives and hiring managers on role design, candidate profiles, talent availability, market dynamics, and hiring strategy. Lead intake and search-strategy discussions. Hiring Process & Assessment - Design hiring processes balancing speed, rigor, inclusion, and candidate experience. Build structured interviews, coach interviewers, maintain momentum, and partner with Compensation on offers. Recruiting Team & Partners - Manage contract recruiters, sourcers, search firms, and agencies. Set priorities, allocate requisitions, evaluate partners, and decide on support types. Build the Function - Define future Talent Acquisition structure, recruit and develop the team, and build a recruiting culture focused on speed, quality, and impact. Recruiting Operations & AI - Improve recruiting processes, adopt AI-enabled tools responsibly, maintain ATS data discipline, and ensure compliance with employment law and data privacy. Reporting, Insights & Talent Brand - Create dashboards and updates for executives on pipeline health, conversion, time to fill, source effectiveness, offer acceptance, and agency spend. Partner with Marketing to enhance the employee value proposition. What You'll Bring: 8+ years of full life cycle recruiting experience, ideally in high-growth technology, AI, deep tech, or competitive talent markets. Experience as a hands-on Talent Acquisition leader or functional owner with a meaningful requisition load. Exceptional direct-sourcing skills with a track record of engaging and closing passive candidates. Experience advising executives and senior hiring managers as a credible talent partner. An AI-forward mindset with experience integrating AI tools into recruiting workflows. Ability to manage a broad and shifting workload using technology, automation, and prioritization. Comfort with ambiguity and changing priorities, and ability to move between strategy, leadership, and execution. Focus on simplifying processes, evidence-based assessment, and high integrity with sensitive information. Bachelor's degree or equivalent experience. Nice to Have: Experience managing contract recruiters, sourcers, external partners, or internal Talent Acquisition professionals. Experience building or scaling a Talent Acquisition team, especially in early-stage or pre-product-market-fit companies. Familiarity with responsible and legally compliant use of AI and automation in recruiting. Recruiting experience in computer vision, machine learning, robotics, geospatial technology, enterprise software, or physical AI. Experience supporting U.S. and international hiring. Compensation & Benefits: Base salary range $225,000-$250,000, plus annual bonus, equity, and comprehensive benefits including medical, dental, vision coverage, and 401(k). Location & Work Model: Based in San Francisco office, with four days per week in office and additional on-site time as needed. Inclusive Application and Equal Opportunity statements included.

Role Overview: As a Lead Customer Success Manager, you will own the post-sales strategic relationship, retention, and value realization across highest-stakes enterprise accounts. You will operate with high autonomy, driving customer outcomes while partnering with Sales to uncover and capitalize on strategic growth opportunities. You will serve as the trusted advisor and strategic lead for your portfolio, orchestrating technical and commercial counterparts including Forward-Deployed Engineers (FDEs), Account Executives, and Product leaders. You will bridge complex technical deployments with executive-level business goals to ensure customers realize maximum value and expand their footprint. Key Responsibilities: — Drive Strategic Account Value & Retention: accountable for net retention, customer health, and long-term strategic alignment across complex enterprise accounts. — Partner with Sales for Account Growth: collaborate with Account Executives/Strategic Account Managers to identify expansion vectors, co-develop account plans, and position new capabilities supporting customer's technical roadmap. — Integrate with Technical Counterparts: work closely with Forward-Deployed Engineers and technical leads to align technical delivery with business outcomes, remove friction, and accelerate time-to-value. — Operate as an Independent Bar-Raiser: build scalable Customer Success playbooks, elevate executive engagement standards, and operate with extreme ownership without step-by-step guidance. — Cultivate C-Suite & Technical Sponsorship: build multi-threaded relationships across business and technology functions (CIO, CISO, CTO, VPs of Engineering, Product Leads) to ensure alignment with corporate initiatives. — Drive Business Outcomes & QBRs: lead executive business reviews demonstrating clear ROI and anchoring accounts for long-term growth. Qualifications & Requirements: — 10+ years in Enterprise Customer Success, Account Management, or Technical Account Management handling high-ARR, complex enterprise platforms. — Proven commercial acumen and growth mindset with history of partnering with Sales to identify, nurture, and close upsells, expansions, and renewals in complex environments. — Deep experience collaborating with Forward-Deployed Engineers, Solutions Architects, and product delivery teams to translate technical achievements into commercial value. — Self-motivated leader excelling in ambiguous, fast-paced environments with full accountability for account outcomes. — Outstanding communication and presentation skills with experience advising C-level executives on technology strategy and operational efficiency. Nice-to-Haves: — Domain knowledge in High Tech (cloud native, hardware/software OEMs, AI/ML platforms) and understanding of engineering-led enterprise operations and scaling. What Success Looks Like in Year 1: — Month 3: fully onboarded, account health assessments completed, alignment with Sales AEs and FDE teams established. — Month 6: value-realization frameworks and executive cadence active, expansion pipelines co-developed with Sales. — Month 12: high Net Retention Rate achieved, demonstrable business outcomes delivered, elevated Customer Success playbooks established as standard practice. Applicants must be authorized to work in the U.S.; no visa sponsorship available.

Location: Serbia; Poland; Kazakhstan; Georgia; European Union Workplace: Remote 🌍 Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll own information security risk management, control assurance, and ISO 27001 ISMS governance across a regulated group spanning banking, consumer finance, and technology. What you'll do: - Form an independent view of security risk and challenge whether proposed controls actually address it, working directly with the Group CISO - Assess control design and operating effectiveness across areas such as IAM, cloud, endpoint security, monitoring, vulnerability management, data protection, and secure development - Turn risk and control data into clear, decision-ready reporting for governance forums What you'll own: - Own the security risk process end to end: assessment, treatment, acceptance, monitoring, and reporting - Maintain the risk register and challenge risk assessments and treatment plans so residual risk, ownership, and remediation status stay current - Maintain the security control framework, test controls using evidence, data, sampling, or technical validation, and drive remediation with control owners - Maintain the ISO 27001 ISMS: policies and standards, Statement of Applicability, risk records, control evidence, exceptions, and key security registers - Track control deficiencies, findings, exceptions, and remediation actions - Define KRIs and control metrics, and flag where management decisions or escalation are needed What makes you a strong fit: - Strong practical experience in information security risk management: inherent and residual risk, treatment, acceptance, control effectiveness, risk appetite - Enough technical depth to critically assess controls across IAM, cloud, endpoint security, monitoring, vulnerability management, data protection, and secure development - Hands-on experience reviewing or testing controls, with the ability to distinguish a documented control from an effective one - Working knowledge of ISO 27001, with the ability to turn complex risk and control information into concise management reporting - Comfortable working with GRC platforms, structured risk and control registers, and evidence management What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Задачи: — строить и улучшать модели для разных частей всего пайплайна — заниматься полным циклом DS/ML задач — участвовать в создании и развитии платформы рекламы — улучшать процесс построения моделей (от выдвижения гипотез до мониторинга работы модели) Примеры задач: — построить эмбеддинги на основе описания рекламных объявлений и добавить эти данные в модели прогнозирования конверсии — обучить модель для прогнозирования распределения ставок в аукционах и совместить модель с текущим алгоритмом определения ставки — провести эксперименты с новыми офлайн/онлайн признаками в моделях и доставить признаки до сервиса на Go — внедрить модель, которая фильтрует подозрительный входящий трафик Требования: — знание классического ML и Deep Learning подходов — опыт промышленного использования методов RecSys — опыт разработки моделей от проблемы до сопровождения в проде — уверенный опыт разработки на Python и Pyspark, опыт написания продакшн-кода — знание принципов распределенной обработки данных — умение принимать решения на основании данных и аргументировать свою позицию — умение находить решения для проблем, декомпозировать, объяснять и контролировать выполнение Условия: — офис метро Маяковская (Оружейный переулок) — гибридный формат работы — конкурентная компенсация (оклад и премии по результатам деятельности) — ДМС с первого рабочего дня, страхование от несчастных случаев и тяжелых заболеваний — материальная помощь и социальная поддержка, корпоративная пенсионная программа — дисконт-программы от компаний партнеров — бесплатный фитнес на территории работодателя — подписка Прайм с возможностью совместного использования на трёх близких — внешнее и внутреннее профессиональное обучение: семинары, тренинги, конференции, корпоративная библиотека

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The next generation of software won’t just be used by people — it’ll be built and shipped by agents. Builds are where that happens, and they’re the beating heart of Vercel. Whether an idea starts in v0, in an agent, or in an engineer’s editor, every customer builds — and millions of builds flow through our systems every day. As an engineer on the Agentic Infrastructure team, you’ll take ownership of the systems that carry that work at scale. You won’t just contribute features — you’ll be responsible for the design, reliability, and evolution of the platform itself. You’ll make decisions that shape performance, define best practices, and ensure the workflows that Vercel, our customers, and their agents depend on are fast, resilient, and secure. This role blends product thinking with deep systems ownership. You’ll partner with teams across Vercel to build and operate the agentic infrastructure that determines how software actually ships. We’re looking for engineers who want to own high-scale systems end-to-end, thrive on improving the developer/agent experience, and are driven to have a lasting impact on how modern software gets built and delivered. What you’ll do Own and evolve the infrastructure that powers Vercel’s build and deployment lifecycle — from handling webhooks to designing resilient database schemas and building scalable APIs. Design and operate high-performance microservices that process millions of builds daily, ensuring speed, reliability, and developer delight. Lead projects end-to-end: from identifying opportunities to defining technical direction and delivering improvements in performance, reliability, and developer experience. Collaborate across teams to align infrastructure with company-wide goals and ensure seamless developer workflows. Shape the long-term vision of agentic infrastructure at Vercel by setting standards for scalability, reliability, and developer productivity. Participate in the on-call rotation, taking responsibility for the reliability of critical systems. Contribute to the open-source community, representing Vercel’s commitment to advancing developer tools globally. Write clean, efficient, tested, and well-documented code that others can build upon confidently. What you need 3+ years of experience designing, building, and operating backend applications and distributed systems at scale. Strong proficiency in JavaScript/TypeScript, with the ability to navigate and improve complex systems. Strong proficiency with cloud infrastructure (AWS) and infrastructure as code (Terraform) A track record of end-to-end ownership — from design and implementation through to long-term operation in production. Skilled at cross-team collaboration, able to influence priorities and drive alignment toward shared goals. Able to reason about technical direction and architectural tradeoffs, balancing long-term vision with pragmatic delivery. Invested in the people around you — through mentorship, code review, or simply raising the bar on how the team builds. Curious, eager to learn, and motivated to push the boundaries of how modern software gets built and shipped. Bonus if you Are familiar with React or Next.js Have experience with DynamoDB Have worked to develop a CI/CD platform or internal developer platform used by other engineers or by agents. Have experience contributing to or participating in open-source projects. Have experience optimizing build systems for monorepos or polyrepo setups. Have experience with build caching, artifact storage, or dependency management at scale. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The base pay range for this role is $196,000.00 - $294,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco, CA 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 People team at LangChain is architecting the operating system for the team behind the agents. Our charter is to make LangChain the best place to work — building the foundational infrastructure across recruiting, global rewards, performance, and AI upskilling that empowers our team to achieve our mission. We treat the employee lifecycle as a product: modular, intentional, designed for high-velocity iteration. We dogfood our own platform to automate the mundane and keep the team focused on the high-judgment work that matters. ABOUT THE ROLE Our People Operations team is globally distributed. This role is our West Coast presence — the person on the ground in SF and the anchor for People Ops during US hours. This is a logistics, compliance, and hospitality role simultaneously. A new hire's first week is a product we're responsible for, and you own it. You’re the often face of HR to employees, and are focused on solving problems for our users (employees) in a high craft, maximum agency way. The systems here are still being built, and you have an opportunity to help influence how we set up the infrastructure to scale. We’re here to build something great, and you play a key role in making that happen through the foundations of people operations. Location/City: San Francisco, CA — in office 5 days per week. WHAT YOU'LL DO - Own onboarding end-to-end. Run pre-boarding — documentation, account setup, background checks, and the data handoffs to IT, Payroll, and Workplace — so nothing reaches a new hire half-finished. - Run cohort day. Facilitate our twice-monthly in-person onboarding cohorts in SF, including everything from compliance to the employee experience. - Drive the first 90 days support structure. Run the system behind 45/90 check-in cadence, buddy program, and the onboarding survey, including closing the loop on what it tells us. - Be the front line during US hours. Serve as the first stop for employee questions: resolve what you can, route what you can't, and drive ongoing documentation in our knowledge base so it doesn't get asked twice. - Build the process, don't just run it. Write and maintain the onboarding SOPs, close the parity gap between in-office and remote onboarding, and build distinct paths for rehires and international hires. - Automate your own work. Use AI to take the repetitive load off this function — status chasing, packet assembly, provisioning checklists, survey synthesis — and use ticket volume to find what keeps breaking. WHAT YOU'LL BRING - Experience: 2–5 years in people operations, HR coordination, or onboarding at a high-growth tech company, with hands-on HRIS experience (Rippling preferred). - Compliance Fluency: Working knowledge of I-9 and employment eligibility verification, including the retention and audit requirements — plus the follow-through that casework rewards. Documents move on deadline, and you are never the reason something sits. - Documentation-First Instincts: Your processes are written down, current, and usable by someone else. You turn a repeat question into a knowledge base article instead of answering it twice. - AI Fluency: You already use tools to increase your leverage, and you reach for automation instinctively rather than as an afterthought. - White-Glove Judgment: A new hire's first day is a moment that matters and you treat it that way. You handle compensation, immigration, and personal data with discretion. - Resilient Ownership: You're comfortable on a globally distributed team and in a fast paced, build environment. When equipment doesn't arrive or a start date moves, you're calm and already solving it. - Operating Principles: You exemplify our operating principles https://www.langchain.com/careers. NICE TO HAVE - Experience standing up or rebuilding an onboarding program, not just running an existing one - Immigration or visa coordination experience (H-1B, PERM, TN, or equivalent) - Global onboarding exposure - Experience with LangSmith, Claude, or a similar tools Annual salary range: $100,000 – $110,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: England; Portugal; Spain; Italy; Ireland; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through: - Technical Selling and Deal Shaping - AI Governance and Security Thought leadership - Technical Champion Ownership and Thought Leadership - Customer and Internal Advocacy - Competitive and Strategic Selling This role suits people who like translating deep technical complexity into business clarity, who are comfortable being one of the first to help define a category, and who bring varied backgrounds and ways of thinking to how we solve customer problems. As a Staff Sales Engineer, you will be reporting to the Solutions Engineering leadership team and operate at the intersection of technical depth, business acumen, and competitive selling discipline. RESPONSIBILITIES Technical Selling and Deal Shaping Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand: - AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials) - Software supply chain risk posture - Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework) - Secure development lifecycle requirements Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity. Design, position, and execute structured PoCs/PoVs focused on: - Sandbox, network, and MCP tool policy enforcement - Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs) - Software supply chain visibility - Agent and MCP tool governance controls - Secure build pipelines Define clear success criteria, evaluation frameworks, and executive-ready value summaries. Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings. Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. AI Governance and Security Thought Leadership Establish credibility as a trusted advisor on: - Responsible AI development practices - Secure AI model lifecycle management - Software supply chain integrity (SLSA provenance, SBOMs, verified base images) - Container and artifact security - DevSecOps best practices Guide customers in implementing governance controls across AI-enabled SDLC workflows. Provide architectural guidance for: - Agentic AI development environments and runtime isolation (sandboxing) - Policy-as-code enforcement across agents, tools, and machines - MCP tool governance and allow-listing - Identity and access governance for AI workloads (IdP-based role and policy assignment) - Audit, logging, and SIEM visibility for agent activity Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements. Technical Champion Ownership and Thought Leadership - Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams. - Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. - Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. - Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions. Customer and Internal Advocacy - Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. - Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. - Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive and Strategic Selling - Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle. - Partner with Sales to develop technical win strategies for strategic and competitive accounts. QUALIFICATIONS We know strong candidates come from a range of paths, and that confidence gaps keep some excellent candidates from applying to roles like this. If you meet most of what's below and are excited about the rest, please apply. - Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales. - Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. - Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership. - Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. - Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. - Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred. - Familiarity with AI governance, secure software supply chain (SLSA, SBOMs), MCP or agentic tooling, and DevSecOps practices strongly preferred. - Must be fluent in English. - Excellent communication, influence, and stakeholder management skills. - Willingness to travel to customer sites up to 25%. WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program working with an onboarding peer. - You will learn how to navigate award-winning sales tools such as Salesforce, Opine, Sigma, and Docker. - You will actively engage with senior stakeholders and manage relationships with clients. - You will work closely with your peers and partner with SEs to develop strategies to advocate for our customers. - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. FIRST 60 DAYS - You will be laser-focused on supporting the sales teams during your second month. - You will have connected with all of your team members. - You will gain in-depth knowledge of Docker's products and how they impact our customers. - You will have an advanced understanding of tools, activities, and best practices to be successful in your role. FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself fully in our customers' business needs. - You will continue efforts to improve messaging, processes, and activities. - You will educate our clients about our product roadmap and undertake product training for users. - You will be ready to operate independently at full speed. Docker does not offer visa sponsorship for this role.   Compensation & Equity EU: €141,400– €202,000 OTE + equity ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Islamabad Capital Territory, Pakistan Senior Expense Management Analyst Finance · Full-time · In-Person (Islamabad, PK) · Hours 6pm - 2am PKT About Nysonian Nysonian builds the next generation of global lifestyle brands, shaping how people travel, move, and live. We go beyond creating great products to build experiences that elevate everyday life and empower people around the world. Our Fast-Growing Portfolio Includes: NOBL Travel — redefining modern travel with design, durability, and performance FLO Pilates — bringing Pilates into homes and wardrobes globally With $350M+ in revenue, 400+ teammates across 8 countries, and 1M+ customers worldwide, we are shaping the brands that will define the next decade. Core Values: Winners’ Mindset | Speed with Purpose | Thoughtful Innovation | Genuineness | No Ego, Full Ownership The Opportunity The Senior Expense Management Analyst at Nysonian Inc. is responsible for driving cost optimization and enforcing disciplined expense controls across the organization. This role goes beyond traditional finance functions, focusing on real-time oversight, policy compliance, and identifying opportunities for efficiency that directly impact profitability. Partnering closely with business units, procurement, and operations, the Analyst analyzes spending patterns, ensures accountability, and implements actionable strategies to deliver sustainable cost savings. What You'll Own Enforce compliance with corporate expense policies, escalating exceptions and deviations for leadership review. Monitor, analyze, and interpret organizational operating expenses to identify key cost drivers, trends, and inefficiencies. Conduct detailed expense audits and deep-dive analyses to uncover actionable cost reduction opportunities. Partner with business units to challenge spending behaviors and implement targeted cost-optimization initiatives. Produce and deliver executive-level, data-driven expense reports that provide actionable insights for leadership decision-making. Collaborate with procurement and operations to enhance transparency, accountability, and governance over spending. Drive continuous improvement of expense management processes, reporting tools, and operational controls to maximize efficiency. Skills & Qualifications Bachelor’s degree in Finance, Accounting, Economics, or related field (Master’s or professional certification preferred). 3–5 years of experience in expense management, cost analysis, FP&A, or related functions. Strong analytical skills with proven ability to translate complex data into actionable insights. Skilled at challenging assumptions diplomatically and influencing cross-functional stakeholders. Proficient in Excel, ERP systems, and financial analysis/reporting tools. Excellent communication skills with experience delivering leadership-ready reports. Detail-oriented, results-driven, and able to balance strategic thinking with disciplined execution under tight timelines. Why You'll Love Working at Nysonian Culture We're founder-led and operate with speed, direct communication, and clear accountability We invest in tools and management practices that help colleagues do their best work Our products are used by customers globally AI is intentionally embedded in how we work, create, and scale Senior leaders are expected to create structure, make decisions, and stay close to execution Growth & Development Competitive pay and meaningful opportunities for performance-based advancement Ownership of strategy, systems, execution, and team buildout within your function Opportunity to build and scale a meaningful part of the business across two consumer brands Scope and compensation growth tied to performance, role expansion, and measurable business impact We are proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, sex, religion, gender, marital status, national origin, genetics, disability, age, veteran status or other characteristics.

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).

Location: San Francisco Workplace: Hybrid Attio is the CRM for agentic revenue. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. ABOUT THE ROLE Our Customer Success team is integral to how we build, grow, and deliver value. We help customers adopt Attio quickly, integrate it smoothly, and unlock lasting impact. With technical fluency and deep empathy, we guide teams through complex use cases, share insights that shape the product, and turn great onboarding into long-term success. We’re looking for a Solutions Engineer who’s resourceful, committed, and deeply curious — and wants to help reinvent how millions of people work. WHAT YOU'LL DO - Become an expert in all areas of Attio’s product and how it’s deployed across industries and departments - Guide our highest-value customers through pre-sales, post-sales, and ongoing customer lifecycle stages as their main technical point of contact by - Architecting custom solutions spanning Attio’s data model, no-code workflow builder, API, reporting engine, and integrations with other GTM products - Leading demos, trainings, and technical solutioning sessions with customers on Zoom and occasionally in person - Consulting on general RevOps and GTM-tech best practices - Partner with Account Executives during the sales process to close our largest new business deals - Independently manage customer’s post-sale onboarding - Serving as the relationship owner for our top accounts - Internally, serve as a voice of and advocate for our customers across our product, engineering, and marketing teams, contributing your expertise in how our customers use Attio, and how Attio fits into the broader sales-tech ecosystem, to company strategy WHAT YOU'LL BRING - 2+ years B2B SaaS experience independently managing the technical side of customer relationships pre- or post-sale - Expertise architecting SaaS software deployments for clients across varied industries and use cases, and comfort working with APIs, no-code development platforms, and data model across a variety of SaaS products - Deep technical understanding of the B2B tech ecosystem, ideally in GTM Tech - Familiarity with fast-growing startups, and adaptability to work in a hybrid role that spans sales, onboarding, and success WHAT DOES THE HIRING PROCESS LOOK LIKE? 1. 30-minute introductory phone call with a member of our Talent team 2. 30-minute interview with our Head of Customer Success 3. 45-minute technical case interview 4. Two 30-minute interviews with relevant stakeholders and Mock Demo exercise 5. 30-minute closing conversation with a member of our Executive Leadership Team 6. Offer stage