Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap.
Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours.
The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top.
We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption.
RESPONSIBILITIES
This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will:
- Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams.
- Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use.
- Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today.
- Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need.
- Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics.
We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs.
AI-ASSISTED OPERATIONS
We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include:
- Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page.
- Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production.
- Onboarding and readiness assistants that answer the questions our experts answer today.
If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work.
On-call
Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
QUALIFICATIONS
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability.
- A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years.
- Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals.
- Experience setting technical direction and leading work that needs cross-team alignment.
- Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups).
Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams.
You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest.
WHAT TO EXPECT
FIRST 30 DAYS
- Build context, meet partner teams, ship your first change, shadow on-call.
FIRST 90 DAYS
- Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production.
ONE YEAR OUTLOOK
- Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
Canada: CA$238,250 – CA$382,250 + equity
United States: $170,350 – $275,550 + equity
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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.
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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: Remote: United States; San Francisco HQ; Remote: Canada
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
In order to deliver Render to our users, we must first provide the best internal developer platform for engineers to move fast, confidently, reliably, and securely along paved paths with the right set of tools, observability and guardrails. As Engineering Manager for the newly formed Platform team, you’ll lead a growing group of talented engineers — both established team members and future hires — who are energized by the opportunity to build this space alongside you.
Together, you will modernize and bring Render's internal developer platform and shared production infrastructure (observability, CI/CD, developer environments, storage, and more) from good to great. Because the landscape we operate in is evolving rapidly, we build infrastructure that is modular and adaptable, able to support a product direction that is itself responding to a fast-moving market without over-indexing on any single bet. This team will have tremendous impact; unlike most infrastructure teams that build for internal consumers, our infrastructure is the product. Not only will you be enhancing the velocity and impact of your fellow Render engineers, but the 4.5 million developers using our platform as well.
This role blends strong technical leadership with product thinking: you’ll partner closely with other engineering teams as well as product managers to translate user needs into high-quality, scalable systems that developers rely on every day. You’ll be responsible for guiding technical direction, developing engineers, and ensuring the team ships meaningful improvements quickly while maintaining the high standards that define Render’s platform. The ideal candidate brings a strong engineering background, a deep sense of ownership, and a passion for building products that developers love.
WHAT YOU'LL DO
- Lead and grow a team of platform engineers, supporting their development through mentorship, feedback, and clear technical guidance.
- Drive execution on key product initiatives from ideation through launch, balancing speed with high standards of reliability and quality.
- Foster a culture of ownership, accountability, and continuous improvement across engineering practices and team processes.
- Engage deeply in technical discussions, guiding system design decisions and helping the team navigate architectural tradeoffs.
- Stay up to date with relevant industry trends, emerging tools, and developer practices that will inform future team learning and opportunities for investment.
- Help the team break down complex problems into incremental milestones that deliver value quickly while supporting long-term platform evolution.
- Ensure teams maintain a strong understanding of the developer experience and reliability, security, and velocity impact of the features they build.
- Partner closely with other teams like Runtime, Security, and Product to understand needs, align priorities, and ensure delivery of impactful features and solutions through thoughtful technical solutions and product roadmaps.
WHAT WE'RE LOOKING FOR
- 8+ years as an Engineer on an Infrastructure or similarly shaped team shipping products or features for other developers.
- 4+ years of experience managing people and developing engineers, including hiring, mentorship, and performance management.
- Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, and design.
- Strong technical background with the ability to engage deeply in system design, architecture, and engineering tradeoffs.
- Ability to translate engineering goals and user needs into roadmaps and shipped features.
- A strong sense of ownership and accountability for both team outcomes and long-term system health.
- Experience improving Reliability and/or Developer Experience through tooling, processes, and team practices.
- Deep experience with open source technologies supporting an internal platform tool or cluster, build & deployment systems, CI/CD, observability, and/or configuration management.
NICE-TO-HAVES
- Background working on highly scalable distributed systems or infrastructure platforms.
- Experience on teams managing large fleets of developer environments, sandboxes, or testing ecosystems.
- Experience building platforms and/or products used directly by developers.
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: Seattle, WA
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 5+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $165,000–$380,000 USD
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma's AI Tools team builds the AI-powered workflows, platforms, and tooling that make every engineer at the company more productive. From agentic CI auto-fixing and AI-assisted code review to background cloud agents that turn a Slack message into a pull request, this team owns the systems that are transforming how Figma builds software. The team operates across a three-layer platform stack—sandbox runtime, cloud agents, and workflow orchestration—while shipping and maintaining a growing portfolio of org-wide developer workflows that compound across hundreds of engineers.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you’ll do at Figma:
Lead and grow a team of engineers responsible for building and operating Figma's AI developer workflows and the cloud agent platform that powers them
Own the technical strategy and roadmap for AI Developer Experience, spanning sandbox runtime infrastructure, cloud agent reliability, workflow orchestration, and org-wide agentic workflows
Hire and scale the team - establishing team culture, execution cadence, and operational processes from the ground up
Drive the reliability, observability, and scalability of our cloud agent platform, ensuring it meets production-grade standards as adoption grows across the engineering organization
Partner with product engineering, security, infrastructure, and DevEx teams to identify the highest-leverage opportunities for AI-assisted developer workflows and drive adoption
Evaluate and integrate emerging AI tools, models, and agent frameworks, making strategic bets on which capabilities to build versus buy
Establish evaluation frameworks to measure the quality, cost, and impact of AI-generated code and agentic workflows across the organization
Coach and mentor engineers through career development, performance feedback, and technical leadership, fostering a culture of ownership, speed, and high-quality execution
We'd love to hear from you if you have:
3+ years of experience managing infrastructure, platform, or developer experience engineering teams, with a track record of scaling teams and delivering high-performing systems
Strong software engineering background, with Staff-level or above technical depth before moving into management with deep understanding of distributed systems, platform architecture, and the operational challenges of running production infrastructure at scale
Demonstrated fluency with AI/ML systems, LLM-based workflows, or agent architectures - as a builder, not just a consumer - with the ability to reason about tradeoffs in nondeterministic systems
Experience hiring, onboarding, and growing engineering teams in fast-paced, high-growth environments
Ability to set technical direction, drive cross-functional alignment, and make sound architectural decisions while balancing speed of execution with long-term sustainability
While not required, it’s an added plus if you also have:
Direct experience building AI developer tooling, agent platforms, or AI-assisted engineering workflows
Familiarity with agent frameworks such as Cursor, Claude Code, or similar background agent systems, including MCP (Model Context Protocol) integrations
Experience with workflow orchestration platforms such as Temporal, n8n, or Tines for multi-stage automation
Background in developer experience platforms including CI/CD systems, build tools (Bazel/Blaze), or large polyglot monorepo environments
Experience building evaluation and quality frameworks for AI-generated outputs
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$258,000
—
$376,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: New York, NY
Workplace: OnSite
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
ABOUT THE ROLE
*Open to candidates based near our NYC office or those willing to relocate.
Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — requires closing the loop between learned representations and real-world action. We're looking for a Robotics Engineer to bring our video-native foundation models onto real hardware: deploying world-model-based policies on real robots and making them work in the real world.
You will work across the full stack of robot learning — from data collection and task design, to policy deployment, to physical evaluation. This is a hands-on, execution-oriented role at the intersection of foundation models, learned robot policies, and hardware. You'll bring deep robotics domain expertise and help us ship world-model-based robot policies end-to-end, with applications ranging from manipulation to mobile robotics.
WHAT YOU’LL DO
- Own the deployment loop for learned policies (VLAs, diffusion policies, World Action Models) on real robot arms: inference serving, action decoding, controller integration, latency budgets, and safety limits
- Diagnose real-world policy failures — determining whether the problem is data coverage, camera/proprioception mismatch, or execution — and partner with the research team to fix it at the right layer
- Design demonstration data collection protocols (task setup, camera placement, teleop conventions) that produce data our world models can actually learn from — working with our existing teleop and lab infrastructure
- Partner with research to run controlled experiments connecting world model representations, data composition, and fine-tuning recipes to physical success rates
- Define and run physical evaluation protocols so results are trustworthy and comparable across policy iterations
- Adapt our policy recipe to partner hardware and new embodiments
WHAT YOU’LL NEED
- You have personally deployed software on real robot hardware and iterated to make it work — whether learned policies, motion planning, classical control, or perception-driven manipulation. You can walk through a specific system you shipped, what broke on the physical robot that didn't break in sim or testing, and how you fixed it.
- Fluency in the software-to-robot interface: action/command spaces, control frequencies, observation pipelines, calibration, and how each affects real-world behavior
- Comfort working at the intersection of software and physical systems: you can reconfigure a robot workspace and trace a policy failure in the same afternoon
- Bonus: direct experience deploying learned policies (VLAs, diffusion policies) on real hardware; experience with video/multimodal generative models or world models
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: Washington DC
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
As our first Federal Partner Alliances Lead for the US, you will own the systems integrator and consulting partner ecosystem across the US Federal market. This is a high-leverage, senior individual contributor role where you will build and drive our federal partner strategy from the ground up — focused primarily on establishing deep, revenue-generating relationships with the major Federal Systems Integrators (FSIs) and a curated set of specialized boutique partners.
You are an operator at heart who loves the ambiguity of a fast-growing startup. You understand how developer tools and enterprise AI stacks fit together within the unique compliance and regulatory requirements of the federal space, and you have a track record of driving sourced and influenced revenue through partner channels without needing a heavy management playbook to guide you. This role sits within our GTM organization and will work closely with our field sellers, customer engineering teams, and product leaders to embed LangChain into the delivery practices and solution portfolios of the partners who win and execute the biggest federal AI programs.
WHAT YOU'LL DO
- Own FSI Relationships: Build and lead LangChain's strategic partnerships with the major federal primes — including Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, Accenture Federal, and similar large-scale integrators. Drive structured engagement across their AI/ML practices, solution architects, and business development teams to embed LangChain into active and upcoming program pursuits.
- Develop Boutique and Specialized Partners: Identify and activate a curated set of smaller, mission-focused federal consultancies and AI-native partners that are embedded in specific agency relationships or cleared environments where the primes don't reach.
- Build Joint Go-to-Market Motions: Work with FSI partners to co-develop solution offerings, reference architectures, and proposal language that positions LangChain as the preferred agentic AI framework for federal program delivery.
- Drive Pipeline Through Partners: Own the partner-sourced and partner-influenced pipeline, working hand-in-hand with LangChain's field sales team to ensure FSI relationships translate into real opportunities and closed revenue.
- Support Hyperscaler Relationships Selectively: Maintain a lightweight working relationship with AWS GovCloud, Azure Government, and GCP Public Sector teams, primarily to support event sponsorships, joint visibility opportunities, and marketplace presence — without making this a primary focus of the role.
- Execute Co-Marketing Motions: Partner with marketing to show up effectively at key federal industry events (AFCEA, AWS Summit DC, industry days) and develop technical content and co-branded materials that reinforce LangChain's credibility with FSI and agency audiences.
- Build the Playbook: Create the operational blueprint for how LangChain scales federal partnerships — from initial relationship mapping and partner tiering to joint pipeline tracking and executive engagement cadences.
WHAT YOU'LL BRING
- Experience: 6+ years of experience in federal partner management, business development, or alliance roles, with a strong track record of building and monetizing relationships with major FSIs and federal primes. Direct experience working within or alongside Leidos, Booz Allen Hamilton, Northrop Grumman, SAIC, or similar organizations is a significant plus.
- FSI Network: A genuine, pre-existing network within the business development, AI/ML practice, and solutions architecture communities at the major federal primes. You should be able to get meetings quickly and have credibility with the people who shape program pursuit decisions.
- Technical Foundation: Enough technical fluency to speak credibly with enterprise architects and engineering leads in federal environments. You don't need to write code, but you must understand how LLMs, agentic frameworks, and developer tooling operate within federal infrastructure, including FedRAMP, IL4/IL5, and zero-trust requirements.
- Startup Agility: Proven ability to navigate a high-growth environment with limited structure. You are comfortable building the playbook as you run it, executing independently with minimal supervision in the often long-cycle federal sales environment.
- Operational Rigor: Strong pipeline management skills. You track partner activity with clean CRM hygiene, maintain accurate opportunity attribution, and communicate clearly and consistently to internal stakeholders.
- Strong Communication & Influence: Equally comfortable writing sharp internal strategy docs as you are presenting to senior BD and practice leaders at major federal integrators.
NICE TO HAVE'S
- Active security clearance (Secret or higher) or existing clearance eligibility.
- Prior experience at an open-source, developer tools, or infrastructure software company bringing a new technology into the federal FSI ecosystem.
- Familiarity with federal procurement vehicles (GSA Schedule, OTAs, BPAs) and how primes use them to structure program delivery.
- Familiarity with the modern LLM orchestration stack, federal data environments, and compliance frameworks (FedRAMP, NIST, CMMC).
Annual Salary Range: $190,000 to 270,000 + Equity
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: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE:
Join our Infrastructure Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide. As a Staff Infrastructure Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability.
We are seeking Staff Infrastructure Engineers who are passionate about building and maintaining resilient systems at scale. Your mission will be to proactively find and analyze reliability problems across our stack, then design and implement software and systems to create step-function improvements. You will design robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability, all while mentoring and educating the broader engineering team to make reliability a core value at Replit.
YOU WILL:
- Drive Automation and Infrastructure as Code: Architect, build, and improve automation to eliminate toil and operational work. Design and maintain CI/CD pipelines and infrastructure automation using tools like Terraform or Pulumi. Create self-healing systems that can automatically respond to common failure scenarios.
- Optimize Performance and Infrastructure: Collaborate with core infrastructure and product teams to performance tune and optimize our cloud deployments (Kubernetes, Docker, GCP). Identify and resolve performance bottlenecks, implement capacity planning strategies, and reduce latency across global regions.
- Elevate Developer Experience: Design and implement improvements to our build, test, and deployment systems to make software delivery faster, safer, and more reliable for all engineers.
- Drive Cross-Company Improvements: Partner directly with service owners across Replit to understand their pain points, and collaborate on implementing build/test/deploy enhancements within their specific services.
- Build Shared Tooling: Create and maintain centralized tooling and automation that improves the entire engineering lifecycle, from local development to production monitoring.
- Debug and Harden Systems: Dive deep into debugging extremely difficult technical problems, making our systems and products more robust, operable, and easier to diagnose.
- Provide Staff-Level Guidance: Review feature and system designs, acting as an owner for the security, scale, and operational integrity of those designs.
- Educate and Mentor: Educate, mentor, and hold accountable the engineering team to improve the reliability of our systems, making reliability a core value of the Replit engineering culture.
- Build and Integrate: Write high-quality, well-tested code to meet the needs of your customers, including building pipelines to integrate with 3rd party vendors.
REQUIRED SKILLS AND EXPERIENCE:
- 8-10 years of experience in Infrastructure Engineering or similar roles (DevOps, Systems Engineering, Site Reliability Engineering).
- Strong programming skills in languages like Python or Go.
- You write high-quality, well-tested code.
- Deep understanding of distributed systems. You’ve designed, built, scaled, and maintained production services and know how to compose a service-oriented architecture.
- Experience with container orchestration platforms (Kubernetes) and cloud-native technologies.
- Proven track record of implementing and maintaining monitoring/observability solutions, with strong skills in debugging and performance tuning.
- Strong incident management skills with experience leading incident response and demonstrated critical thinking under pressure.
- Experience with infrastructure as code (e.g., Terraform) and configuration management tools.
- Excellent written and verbal communication skills, with an ability to explain technical concepts clearly and simply and a bias toward open, transparent cultural practices.
- Strong interpersonal skills, with experience working with engineers from junior to principal levels.
- A willingness to dive into understanding, debugging, and improving any layer of the stack.
- You're passionate about making software creation accessible and empowering the next generation of builders.
BONUS POINTS:
- Deep experience with Google Cloud Platform (GCP) services and tools.
- Knowledge of modern observability platforms (Prometheus, Grafana, Datadog, etc.).
- Experience designing and building reliable systems capable of handling high throughput and low latency.
- Experience with Go and Terraform.
- Familiarity with working in rapid-growth environments.
- Experience writing company-facing blog posts and training materials.
This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Home Based - APAC; Office Based - Beijing, China; Office Based - Taipei, Taiwan
Ubuntu is the most widely used Linux distribution in the world, delivering kernels across a vast matrix of versions, architectures, and configurations – with up to 15 years of security and maintenance commitments for Long Term Support (LTS) releases. Ensuring the quality and reliability of these kernels demands a dedicated, systematic approach to testing at scale.
The Canonical Kernel Team is looking for a Test Engineer to take ownership of our kernel testing strategy and infrastructure. You will design and maintain test plans covering functional correctness, stability, performance, and security. You will build and evolve automated test frameworks – including stress testing, fuzzing, code coverage analysis, and regression detection – that not only must remain effective across many concurrently supported kernel versions spanning years of maintenance, but must be able to scale with the high demand for Ubuntu kernels (currently more than 160 under active support).
The successful candidate will bring strong Python skills, familiarity with Linux kernel internals, and experience building test infrastructure that scales. You will work closely with kernel engineers to catch regressions early, validate fixes, and ensure every kernel we ship meets the highest standards of reliability.
Location:
This role will be based remotely in the APAC region, except for Taipei, Taiwan, and Beijing, China, which are office-based locations.
What your day will look like
Design, develop, and maintain comprehensive test plans covering functional correctness, stability, performance, and security for Ubuntu Linux kernels
Build and improve automated test infrastructure for continuous kernel quality validation across multiple kernel versions and architectures
Maintain long-lived test suites that evolve alongside Ubuntu’s many concurrently supported kernel versions spanning years of maintenance
Develop and maintain CI/CD pipelines for continuous kernel quality validation
Conduct performance benchmarking and regression detection across kernel releases
Measure and improve kernel code coverage, identifying gaps in test coverage and creating tests to address them
Execute and analyze stress tests covering CPU scheduling, memory management, I/O subsystems, networking, and filesystem workloads
Develop and maintain fuzzing harnesses to discover kernel vulnerabilities and reliability issues using tools such as syzkaller, Trinity, or custom fuzzers
Collaborate regularly and proactively with a globally distributed team
Contribute to upstream test suites and testing frameworks
Document test methodologies, results, and coverage gaps
What we are looking for in you
Significant programming experience in Python
Experience with test frameworks such as LTP, kselftest, xfstests, stress-ng, fio, or similar
Experience designing and executing system-level tests: functional, stress, performance, or regression testing
Familiarity with CI/CD systems (Jenkins, GitHub CI, or similar)
Experience maintaining test suites over long periods, adapting to evolving software across multiple supported versions
Familiarity with Linux (Ubuntu or Debian preferred but not required), Linux kernel internals and subsystems
Experience with Linux systems administration and automation
Solid background with git
Well-organized, self-starting and able to deliver to fixed schedules
Professional written and spoken English with excellent communication skills
Ability to travel twice a year, for company events up to two weeks each
Additional skills that you might also bring
Familiarity with kernel fuzzing tools and techniques (e.g. syzkaller, Trinity, AFL, or custom harnesses)
Experience with code coverage instrumentation (e.g. gcov, kcov, LLVM source-based coverage)
Knowledge of kernel tracing and observability tools (e.g. ftrace, perf, bpftrace, eBPF)
Familiarity with static analysis tools (e.g. sparse, smatch, Coccinelle) as part of a testing workflow
Experience with fault injection frameworks (e.g. failslab, fail_make_request) for reliability testing
Prior experience with test infrastructure at scale (provisioning, orchestration, result aggregation)
Experience with Ubuntu/Debian packaging or Snap
Knowledge of virtualization technologies (KVM, QEMU) and container runtimes
Cloud infrastructure experience (AWS, GCP, Azure, or OpenStack)
Prior involvement with open source testing communities or projects
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilisation. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, you can ask in the later stages of the recruitment process.
Fully remote working environment - we’ve been working remotely since 2004!
Personal learning and development budget of 2,000USD per annum
Annual compensation review
Recognition rewards
Annual holiday leave
Parental Leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues at ‘sprints’
Priority Pass for travel and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm that is at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do.
Canonical has been a remote-first company since its inception in 2004. Work at Canonical is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical provides a unique window into the world of 21st-century digital business.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Задачи:
— Развёртывание и поддержка blockchain nodes / validator infrastructure.
— Эксплуатация Kubernetes-кластеров в bare metal окружении.
— Поддержка и развитие IaC-подхода.
— Настройка мониторинга и observability.
— Работа с сетевой инфраструктурой.
— Troubleshooting и устранение инцидентов.
— Взаимодействие с заказчиком по инфраструктурным вопросам.
— Обеспечение высокой доступности и стабильности сервисов.
Требования:
— Уверенный опыт с Kubernetes в bare metal environments.
— Практический опыт с Terraform и Ansible.
— Сильная Linux-экспертиза (Ubuntu / Debian / CentOS).
— Опыт работы с Prometheus и Grafana.
— Хорошее понимание сетей: DNS, TLS, ingress/load balancers.
— Опыт поддержки production infrastructure.
Преимущества:
— RKE2, Talos Linux.
— Flux / Argo CD.
— Базовый Go или Python.
— Security/compliance practices (шифрование, hardening).
— Опыт работы с blockchain nodes / validator infrastructure.
Условия:
— Работа из офиса в Тбилиси или удалённо (релокация из РФ/РБ обязательна).
— Помощь с релокацией в Тбилиси.
— Полное обеспечение техникой.
— Компенсация занятий спортом и обучения.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the US and Canada.
The Opportunity:
Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining, and scaling their own observability stack.
The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises.
As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes.
We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities.
What You’ll Be Doing:
Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).
What Makes You a Great Fit:
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
What will you be doing? (Role specifics)
As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure.
Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle
What technical competencies are we looking for?
Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture
What are your "nice to have" technical competencies?
Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling
In Canada, the compensation range for this role is $186,368 - $223,642 CAD. 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: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are looking for candidates in the US and Canada.
The Opportunity:
Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining, and scaling their own observability stack.
The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises.
As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes.
We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities.
What You’ll Be Doing:
Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives
Designing and leading the development of backend services, distributed systems, and enterprise features at scale
Driving continuous improvement of our engineering culture through words and actions
Driving projects from initial ideation through the development lifecycle to production
Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators
Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.)
Hiring and developing the best engineers to build the future of Grafana
Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs
As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction.
We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards.
You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro).
What Makes You a Great Fit:
You work well as a communicative member of a team of engineering professionals.
You earn trust by saying what you mean and doing what you say.
You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards.
You insist on the highest standards and work to develop the skills and knowledge of your fellow team members.
You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver.
You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively.
What will you be doing? (Role specifics)
As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure.
Hiring and developing the best engineers we can to deliver the future of Observability.
Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale
Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers
Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions
Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments
Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions
Advocating for our customers at every stage of the development lifecycle
What technical competencies are we looking for?
Deep professional experience writing production services, from ideation through to production operations at scale
Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale
Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms
Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries
Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale
Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale
Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters
Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing
Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture
What are your "nice to have" technical competencies?
Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers
Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy)
Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements
Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling
In the United States, the compensation range for this role is $174,986 - $209,983 USD. 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
.
Задачи:
— Проектировать и развивать внутреннее AI-ядро: агенты, skills, tool use, routing, orchestration.
— Строить и улучшать RAG-сценарии: retrieval, chunking, embeddings, reranking, доступ к знаниям.
— Делать reusable-компоненты и шаблоны для аналитиков: skills, коннекторы, пайплайны, reference flows.
— Интегрировать AI-платформу с внутренними системами, базами данных, API и корпоративными источниками знаний.
— Настраивать observability, tracing, evaluation и контроль качества AI-пайплайнов.
— Оптимизировать качество, latency, стоимость и устойчивость пайплайнов.
Требования:
— Практический опыт построения production RAG / agent / workflow-систем.
— Опыт создания внутренних инструментов или платформ, которыми реально пользовались аналитики или бизнес-команды.
— Умение работать на стыке engineering и enablement: собрать решение и сделать его понятным для пользователей.
— Опыт интеграции AI-пайплайнов с корпоративными источниками данных, API и внутренними системами.
— Умение разбирать сложные пользовательские сценарии и упаковывать их в reusable-механики платформы.
Технический стек:
• Python, SQL, FastAPI, API integrations, async, service-oriented development.
• LangGraph, LlamaIndex, Haystack, Semantic Kernel.
• Qdrant, pgvector, Weaviate, Milvus, OpenSearch, Elasticsearch.
• Embeddings, hybrid search, metadata filtering, reranking.
• Airflow, Prefect, Dagster, Temporal.
• Langfuse, Phoenix, OpenTelemetry (или собственные подходы к tracing / observability / eval).
• Docker, Linux, Kubernetes, CI/CD.
Условия:
— Ставка: обсуждается отдельно.
— Готовность к редким командировкам в Ереван.
— Работа в топовом финтех-направлении над уникальным AI-продуктом.
Location: Remote - US
About the Job:
LaunchDarkly is seeking a skilled Full-Stack Engineer to join our Experimentation team! You’ll collaborate closely with a cross-functional team of backend, frontend, and full-stack engineers, along with product managers, data scientists, and designers, to help build an experimentation platform that balances power and accessibility. In this role, you’ll contribute to the design, development, and maintenance of scalable, performant services using Go and RESTful APIs, and user experiences built with React and TypeScript. You’ll have opportunities to take ownership of projects, grow your technical expertise, and help improve the quality and reliability of our systems. We’re focused on building a best-in-class experimentation platform that enables customers to run impactful, data-driven experiments with ease and confidence, and we’re actively growing the team to deliver on this vision.
We are committed to delivering a leading experimentation platform that empowers our customers to run tests and data-driven experiments seamlessly and at scale. We have a robust product roadmap, and we are actively expanding our teams to execute on it.
Responsibilities:
Contribute to the design, development, and maintenance of scalable and performant solutions for experimentation and data-driven products, with attention to usability and maintainability.
Collaborate with senior engineers on architectural decisions that impact system scalability and performance.
Lead limited scope features from definition to deployment
Help identify and troubleshoot performance issues and participate in efforts to optimize service reliability.
Work closely with product managers, engineers, data scientists, and designers to implement new features and iterate on existing functionality.
Participate in code reviews to support code quality and share constructive feedback with teammates.
Write clean, maintainable, and well-tested code that enhances the reusability and readability of team systems.
Contribute to the team’s efforts to improve observability, monitoring, and operational excellence.
Help investigate and resolve production issues, occasionally partnering with customer support or other teams as needed.
Collaborate across functions to align on priorities, surface blockers, and improve team workflows.
Learn from and support more senior engineers, and contribute to a culture of growth, inclusion, and continuous improvement.
Stay current with industry trends related to software development, experimentation, and backend technologies.
Demonstrate curiosity, creative thinking, and a proactive mindset in problem-solving.
Qualifications:
5+ years of hands-on experience building full stack web applications. Familiarity with Typescript, React, Node, and Go is preferred but not required.
Solid grasp of software engineering principles, design patterns, and coding best practices.
Exposure to building or maintaining scalable, production-grade systems.
Familiarity with observability practices and tools (e.g., logging, metrics, monitoring).
Experience working with cloud platforms (AWS, GCP, or Azure) is a plus.
Strong collaboration and communication skills with a team-oriented mindset.
Comfortable working in Agile development environments.
Experience with CI/CD practices and tools.
Passion for writing high-quality code and continuously improving engineering practices.
A self-motivated approach and willingness to take initiative.
Ability to thrive in a fast-paced, evolving environment.
Prior experience working with or contributing to distributed teams is a plus.
Pay:
Target pay ranges based on Geographic Zones* for Level 3:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
- $171,200 - $235,400**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago -
$154,100 - $211,860**
Zone 3:
All other US locations -
$
145,500 - $200,090
**
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: Sweden (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:
As a Sales Development Representative (SDR), you will focus on three core missions. One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance. Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals. By fulfilling our three core missions, you will contribute importantly to Grafana Labs’ community and business goals.
We understand that our commercial success is linked to our open source DNA and users’ success with our software. As such, we want team members who can effectively leverage this connection and help support the long-term health of our company.
In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone. You will need to know how to use AI as a tool to constantly improve your productivity.
This is a demanding and rewarding role. It is a fast-paced and challenging environment. While our company is growing sustainably, we still have a lot of building and improving to do. And we do this work together with our teammates from more than 15 different countries. We're looking for driven, humble, technically curious people who embrace a team-first attitude and demonstrate extreme ownership. This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry. You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible.
What You’ll Be Doing:
Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends
Follow up on inbound leads effectively and efficiently
Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone
Use Salesforce and Grafana dashboards for lead and account management and research
Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn
Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them
Consistently meet new business opportunity and pipeline targets
Collaborate with cross-functional teams such as marketing and sales to win as a team
What Makes You a Great Fit:
Fluent in English (written and spoken)
Open to feedback and coaching, always looking for ways to improve
Clear and concise written and verbal communication style
Excellent organizational skills and the ability to prioritize many tasks and demands
Willingness and ability to take on any task - no matter how small or big - with a focus on quality
Resourceful and proactive in an environment that is constantly evolving
Driven by purpose and by winning with a team-first attitude
Located in the Sweden
Bonus Points For:
Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things:
Would you be successful if you were part of our team?
Will you love working here and be a positive influence on your fellow colleagues?
Will you grow professionally and personally during your time here?
We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart.
During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained.
Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview.
Compensation & Rewards
In Sweden, the OTE (On-Target Earnings) compensation range for this role is 530,00 SEK - 564,000 SEK. 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: Netherlands (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:
As a Sales Development Representative (SDR), you will focus on three core missions. One, you will help our users and prospects navigate their Grafana journey by engaging with and listening to them in order to provide them with appropriate resources and guidance. Two, with these learnings, you will partner with our Sales Team to connect with other influential people in these organizations to identify new business opportunities that are the pipeline for our company’s revenue goals by partnering proactively with our Sales Team. And three, you will develop valuable, transferable skills to help you achieve your career goals. By fulfilling our three core missions, you will contribute importantly to Grafana Labs’ community and business goals.
We understand that our commercial success is linked to our open source DNA and users’ success with our software. As such, we want team members who can effectively leverage this connection and help support the long-term health of our company.
In this role, you will balance reactive and proactive work, responding to inbound inquiries as well as outreaching to target accounts. You will need to research and have a detective mindset in order to craft thoughtful, value-add messaging; and you’ll need to be confident driving business conversations on the phone. You will need to know how to use AI as a tool to constantly improve your productivity.
This is a demanding and rewarding role. It is a fast-paced and challenging environment. While our company is growing sustainably, we still have a lot of building and improving to do. And we do this work together with our teammates from more than 15 different countries. We're looking for driven, humble, technically curious people who embrace a team-first attitude and demonstrate extreme ownership. This is a great team to join, whether you’re just starting your career or looking to pivot into the tech industry. You’ll have managers and teammates that care deeply about you as a professional and human, and you will learn more than you thought possible.
What You’ll Be Doing:
Build and maintain knowledge of our technology, competitors, open source ecosystem, and industry trends
Follow up on inbound leads effectively and efficiently
Use a multi-channel approach (email, social, calling) to proactively outreach to new leads within target accounts; our top SDRs are confident and effective on the phone
Use Salesforce and Grafana dashboards for lead and account management and research
Use research and data to prioritize and customize outreach to target prospects and accounts via email and LinkedIn
Drive effective discovery conversations to understand users’ needs and goals in to provide them the appropriate resources and communicate how Grafana can help them
Consistently meet new business opportunity and pipeline targets
Collaborate with cross-functional teams such as marketing and sales to win as a team
What Makes You a Great Fit:
Fluent in English (written and spoken)
Open to feedback and coaching, always looking for ways to improve
Clear and concise written and verbal communication style
Excellent organizational skills and the ability to prioritize many tasks and demands
Willingness and ability to take on any task - no matter how small or big - with a focus on quality
Resourceful and proactive in an environment that is constantly evolving
Driven by purpose and by winning with a team-first attitude
Located in the Netherlands
Bonus Points For:
Let’s be honest - interviewing is not easy. However, we want you to come prepared and succeed. When we interview, we’re trying to determine a couple of things:
Would you be successful if you were part of our team?
Will you love working here and be a positive influence on your fellow colleagues?
Will you grow professionally and personally during your time here?
We’re looking for people who are curious and passionate about technology, so make sure you invest some time in learning about Grafana Labs. Explore our community, the industry we operate in, what we offer, and how we set ourselves apart.
During your interview, you’ll be sharing stories about your current and past roles and experiences. The best way to frame this is with the CARR model: Context, Action, Results, Reflection. This allows you to succinctly share the experiences you’ve gained.
Remember, humility drives learning and we love working with people who are always trying to better themselves. Throughout our interview process, you will receive feedback, and usually directly in the interview. As you move through the interview process, make sure you listen to the feedback you receive and figure out how to incorporate the advice in the next step of the interview.
Compensation & Rewards
In the Netherlands, the OTE (On-Target Earnings) compensation range for this role is 58,750 EUR - 61,850 EUR. 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: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re hiring a Staff Software Engineer, Developer Productivity to define and drive the future of how Webflow engineers build, test, and deliver software. In this role, you’ll operate as a technical leader owning the end to end deployment strategy and shaping the systems that enable engineering velocity at scale. This is a high impact role focused on reducing cycle time, increasing reliability and enabling world-class developer experience across Webflow.
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position
- Reporting to the Senior Engineering Manager, Developer Productivity
As a Staff DevOps Engineer, Delivery Loop you’ll:
- Define and drive Webflow’s end-to-end deployment strategy, from CI pipelines to production rollout.
- Own and evolve our GitOps-based deployment platform (e.g., ArgoCD, Argo Rollouts), ensuring scalability, reliability, and ease of use.
- Design and implement safe, progressive delivery mechanisms (canary, blue/green, feature flags, automated rollback).
- Set technical direction across teams, guiding architecture decisions that improve developer velocity and system reliability.
- Establish and evangelize best practices for CI/CD, release engineering, and environment management across the organization.
- Identify and eliminate bottlenecks to drive step-function improvements in developer productivity and cycle time.
- Build and evolve internal tooling to improve testing, and deployment workflows.
- Ensure high reliability and operational excellence through strong observability, monitoring, and incident-driven improvements.
- Mentor engineers and act as a force multiplier, influencing teams through technical leadership, design reviews, and cross-team collaboration.
ABOUT YOU:
Requirements:
- BS / BA degree or equivalent experience
- 7+ years in Devops, Site Reliability or Infrastructure Engineering roles
- Business-level fluency to read, write and speak in English
You’ll thrive as a/an Staff DevOps Engineer, Delivery Loop if you:
- Have deep expertise in modern deployment systems, including Kubernetes, GitOps workflows, and tools like ArgoCD and Argo Rollouts.
- Have successfully designed and scaled CI/CD systems for large engineering organizations.
- Are comfortable owning ambiguous, cross-cutting problems and turning them into clear technical strategies.
- Have a strong track record of improving developer velocity, reliability, and system scalability
- Possess deep knowledge of cloud infrastructure (AWS), containerization (Docker), and distributed systems.
- Have experience implementing progressive delivery techniques (canary, blue/green, feature flags)
- Are skilled in infrastructure as code (e.g., Pulumi, Terraform) and system automation.
- Balance short-term execution with long-term architectural vision.
- Influence engineering teams through technical leadership, not just direct ownership.
- Communicate complex ideas clearly to both technical and non-technical stakeholders.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Remote: United States
Workplace: Remote
At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.
Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.
Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.
We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.
APPLYING TO RENDER
We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.
We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.
Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.
ABOUT THE ROLE
Render is looking for a Developer Community Lead to grow our community and engagement with developers across the platforms where they spend their time: X, LinkedIn, Reddit, and Discord. You will be the public face of Render in these communities, building relationships with developers, creating content that sparks conversation, and turning Render's technical wins into stories the developer community wants to share.
YOU WILL:
- Own Render's day-to-day presence on X, LinkedIn, Reddit, and Discord: engage with developers, answer questions, and contribute to relevant conversations
- Ship a regular cadence of short-form technical content: threads, posts, code snippets, demos, and timely takes on what's happening in the ecosystem
- Surface and jump into the conversations where Render has a credible voice, fast
- Build relationships with developer creators, community moderators, and early adopters in Render's ecosystem
- Partner w/ DevRel to run AMAs, livestreams, and community programs on Discord and Reddit; support hackathons and community activations
- Produce longer-form technical content (blog posts, videos, sample apps) designed to fuel social distribution
- Occasionally represent Render at conferences, meetups, and on podcasts when the audience fit is right
- Track impact through community growth, engagement, sentiment, and downstream signups; double down on what works
WE'RE LOOKING FOR:
- 5-8+ years in developer marketing, community management, content creation, or a hands-on engineering role with a strong public side
- An active, established presence on at least one major developer platform (X, LinkedIn, YouTube, Twitch, or similar) with a portfolio of content you can point to
- Strong technical foundation: comfortable with modern infrastructure, web frameworks, and shipping working code
- Native fluency in developer communities online: you know what plays on X versus Reddit versus Discord, and you can hold a strong point of view without being preachy
- Sharp written voice
- Bias toward shipping fast and iterating
NICE-TO-HAVES:
- Existing relationships with developer creators and community moderators
- Track record of growing a developer audience from scratch
- Comfort on camera or behind a mic
- Experience with developer cloud, hosting, or infrastructure 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: 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
This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
- This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000–$315,000 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.
УдалённоRemote: United States; San Francisco HQ; Remote: Canada
204 000 – 280 000 $
Seattle, WA
Зарплата не указана
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