About the Team
At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as easy and delightful as possible.
We operate in a fast-paced environment and get to have a direct impact on the millions of users who rely on Miro to collaborate and create the next big thing. As a part of our Product Design team, you will contribute to our design process, culture, and experience principles and set new standards for design quality.
About the Role
Miro is looking for a visionary Staff Product Designer to support the design of Miro's Growth team, including adoption and onboarding experiences. This isn't just about refining workflows; it's about defining the future of how millions of people bring their ideas to life.
As a key leader within the Growth stream, you will lead the design evolution of these experiences, you will help Miro users reach value quickly through experiments you can ship and measure. We are looking for an AI Native designer - someone who doesn't just see AI as a feature but as a fundamental shift in the product development process and ultimately, a massive opportunity.
You will be tasked with shaping not just where Miro's offering should be, but where it is going - ensuring we aren't just keeping pace with the market, but setting it.
What you’ll do
- Own design across activation, feature discovery, engagement, habit formation, and expansion — not just onboarding.
- Identify where in that journey the biggest opportunity sits, and you make the case for pursuing it.
- Be a tireless innovator in the AI space. You will explore how generative AI can collapse the gap between a user's first visit and a genuine "aha" moment, personalizing activation and engagement at scale.
- Approach the product with an entrepreneurial spirit and sense of ownership. You'll navigate ambiguity, build lean experiments, and treat the growth experience as your own startup within Miro.
- Leverage your deep understanding of the competitive landscape to create a best-in-class experience that rivals any competitor while maintaining Miro's ease of use across the platform.
- Partner with Product and Engineering across the org to solve complex technical- and design challenges around AI quality, discoverability, and the seamless journey from a user's first sign-up to deep, habitual engagement with the infinite canvas.
- Set the bar for design excellence at Miro, mentoring other designers and contributing to the evolution of our design systems and internal tooling.
What you’ll need
- 10+ years of product design experience, ideally in B2B SaaS or AI-focused roles.
- At least 2-3 years operating at a Staff / Principal level, with proven ownership of complex initiatives.
- A strong portfolio showcasing your ability to create clear, user-focused products and strategies. Demonstrating both the impact on user experience and business goals.
- A deep understanding of AI and AI design tooling and the ability to show you're leading the charge.
- Proven experience working closely with cross-functional teams, including product management, UX design, and engineering, to deliver seamless growth solutions.
- Deep understanding of UX practices, information architecture, and user-centred design methodologies.
- Strong written and verbal communication skills, with the ability to articulate the value of design and collaborate effectively across diverse teams.
- A proactive and flexible approach, comfortable working autonomously in a fast-paced, sometimes ambiguous environment and managing multiple priorities.
- Experience working on growth, lifecycle, or onboarding-focused design tools and experimentation platforms is a massive plus.
What's in it for you
We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.
About Miro
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
- Youtube:
- Blog:
- Instagram:
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
About the Team At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as e...
Remote
Full_time
Permanent
#DK, London, Remote Europe
About the Team
At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as easy and delightful as possible.
The design system team owns the leverage point that lets that craft scale: every component, token, and pattern either propagates quality across the product or quietly leaks debt into it. As a part of our Product Design team, you will contribute to our design process, culture, and experience principles and set new standards for design quality.
About the Role
Miro is a canvas — an infinite, multiplayer surface where millions of people think, run workshops, map systems, and build together. Design is what makes that canvas feel considered: fast, fluid, alive, and unmistakably Miro rather than a framework's defaults dressed up.
You own the design system — not by writing the infrastructure that enforces it, but by deciding what "great" looks like and turning that judgment into something the system can pull into the design process.
The design system is AI-native, meaning that agents will generate the first draft of the UI, using the tokens, components, and patterns you've defined. That changes the job. It used to be enough to design a good screen. Now the job is to design the soul and rules a screen gets generated from — to encode taste, not just constraints.
This is a design-first role with a strong foundation in code. You think and communicate in prototypes because they're more honest than a static mock. You reach for a quick build to test whether an idea actually feels right, not to ship production infrastructure. You're not the person building the rendering engine; you're the person with the eye to know when the rendering engine got it wrong.
What you'll do
- You hold and push the quality bar forwards; meaning you don't only define what great design and taste looks like, you encode it.
- Identify the interaction patterns, hierarchy rules, and softer signals (rhythm, restraint, spacing that "feels right") that keep AI-generated UI from feeling machine-made, then work with engineering to get those signals into the guardrails that catch violations before ship.
- Push token thinking into motion, easing, spatial transitions, and multiplayer states like presence and cursors — the aesthetic decisions that make the canvas feel alive.
- Partner closely with engineering, making sure performance constraints don't flatten the product into something generic.
- Build the patterns, guidelines, and examples that make every designer and AI-assisted contributor faster and more confident. Write things down — foundation-level thinking compounds.
What you'll need
- 10+ years of product design experience, ideally in B2B SaaS or AI-focused roles.
- At least 2-3 years operating at a Staff / Principal level, with proven ownership of complex initiatives.
- Comfort in code sufficient to prototype and validate design ideas, without being primarily defined by engineering depth — this is a design-first role with a strong foundation in code.
- The ability to see the difference between fine and right, and to say why out loud: taste here is judgment you can articulate, turn into a rule, and hand to someone else — the kind that notices the 1px that's off, the easing a beat too slow, the contrast that technically passes and visually fails.
- An end-to-end understanding of the product — where a pattern breaks down in a real user flow, or where a component that looks fine in isolation causes friction in context.
- A track record of influence beyond your own output: setting a quality bar explicit enough that others can apply it, and connecting fragmented, team-by-team work into something coherent.
- Craft signals including visual craft and taste, pattern recognition at scale, motion and timing as a design decision, multiplayer interaction grammar (presence, cursors, conflict, co-authorship), and real fluency with AI tools and AI-driven product moments — enough to prototype your own ideas without needing an engineer to stand up a first draft.
- Systems and governance thinking: the ability to articulate the contribution rules that keep a system coherent as it scales, even if someone else writes the enforcement code.
What's in it for you
We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.
About Miro
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
- Youtube:
- Blog:
- Instagram:
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro’s mission — Empower teams to create the next big thing — is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams. Diversity invites all talent with different demography, identities and styles to step in, and inclusion invites them to step closer together. Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
About the Team At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as e...
Remote
Full_time
Permanent
#DK, London, Remote Europe
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
About the Role
We’re looking for a Staff Software Engineer to build AI-powered tools and integrations that plug directly into game engines, editors, clients, and backend services. You’ll deliver high-quality C++ integrations across proprietary studio engines, ship robust build/QA automation, and partner with multiple PlayStation Studios teams to make AI an everyday part of development.
What You’ll Be Doing
- Build and maintain engine/editor plugins, runtime SDKs, and services that integrate AI (LLMs and related systems) into game clients, servers, and build tools.
- Ship performant, memory-aware C++ by profiling, optimizing, and debugging across PC/console builds with tight frame budgets.
- Design stable API surfaces for game teams (C++/C API, gRPC/HTTP) with versioning, telemetry, and backward compatibility.
- Stand up CI/CD for game builds and tools (UBT or proprietary build systems; artifact packaging; nightly/regression suites; distributed/accelerated builds).
- Automate QA for tooling and in-engine features using engine test frameworks and headless runs, and wire results into CI and dashboards.
- Implement production LLM integrations (prompting, RAG/tool calls, guardrails/safety, observability, timeouts/retries, and cost controls).
- Collaborate with studio engineering, tech art, design, and QA to land integrations across varied codebases and pipelines.
- Document patterns, provide sample projects, and deliver internal training so solutions scale across PlayStation Studios.
- Influence standards and tech choices for AI in our dev stack, and contribute to shared libraries and best practices.
Qualifications
- You have at least five years of experience building production software in modern C++ (C++17/20) with strong fundamentals in memory management, concurrency, performance, and debugging.
- You have shipped tools or runtime features in AAA engines, including work on plugins/modules, asset and build pipelines, and editor/runtime integration.
- You have delivered features or tooling that integrate with LLMs or other ML services, and you understand prompt design, evaluation, safety, and telemetry for production usage.
- You have implemented engine-level automated testing (functional and integration), including headless execution and CI gating.
- You work fluently with large code/asset repositories and are comfortable with both Perforce and Git.
- You communicate clearly across disciplines and translate diverse studio requirements into pragmatic, maintainable solutions.
- You write thorough documentation and favor well-tested, maintainable code.
Nice to Have
- You have built networking/service integrations for game backends (gRPC/HTTP) and implemented telemetry/observability (logs, metrics, traces).
- You have packaged SDKs/plugins for multiple studios and managed semantic versioning and migration tooling.
- You understand console platform requirements and certification workflows.
- You are familiar with security, privacy, and responsible-AI practices in production systems.
Please note; this position can be completed remotely from The UK
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) ...
Remote
Full_time
Permanent
#Remote
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of them meet us first on their phone. The Growth team owns the product loops that help people discover, adopt, and build lasting habits around our most important AI experiences — and on mobile that means owning everything from the App Store listing to the first task a user finishes to the moment they upgrade.
As an Android growth engineer at Perplexity, you'll work across the full mobile funnel — install, activation, onboarding, push and lifecycle messaging, conversion, retention, and in-app purchase moments — for Perplexity, Comet, and Computer on Android. Engineers are responsible for end-to-end projects: rebuilding onboarding as a series of experiments, wiring in-app purchase and paywall surfaces to our billing systems, shipping notification experiences people actually keep enabled, and turning ASO and deep-link work into measurable adoption.
Growth at Perplexity goes beyond incremental funnel optimization. The team sits close to the core product — we translate behavioral signals, model outputs, and fast experimentation into durable product surfaces used across consumer and enterprise workflows. You'll move fast, run many experiments in parallel, and own the outcome end-to-end, while respecting the constraints mobile brings: release cycles, store review, and version fragmentation.
Why Perplexity is different
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
Design, build, and own growth surfaces across the mobile funnel — install, activation, onboarding, lifecycle, conversion, retention, and paid upgrade moments — on Android.
Lead experiments end-to-end, from hypothesis and instrumentation through implementation, analysis, and rollout, shipping many in parallel despite app release cadence. Build the flag-driven and server-driven patterns that let us test without waiting on a store release.
Own in-app purchase and paywall surfaces: billing integrations, subscription and credit purchase flows, entitlement correctness, and pricing and packaging experiments.
Build push and lifecycle notification experiences that earn their opt-in — permission prompts, targeting, timing, deep links back into the right task, and the instrumentation to prove they drive retention rather than churn.
Make cross-platform surfaces feel native. Partner with web and design engineers so onboarding, upsells, and in-task nudges are consistent across web, iOS, and Android
Partner with rest of Growth to optimize app store performance and attribution
Hill-climb on the metrics that matter: install-to-activation, D1/D7/D30 retention, notification opt-in and engagement, paid conversion, and habit formation, instrumented with clean data and trustworthy experiment readouts.
Partner closely with Product, Design, Data Science, Monetization, Marketing, and the core Mobile team to translate behavioral signals into durable product surfaces.
Qualifications
3+ years of professional mobile engineering experience shipping consumer apps at meaningful scale on Android.
Strong native skills — Kotlin/Jetpack Compose — and the willingness to flex into other parts of the stack to unblock yourself and others.
Experience owning a full release cycle: build and release tooling, phased rollouts, store review, crash and regression monitoring, and rolling back safely.
Strong execution: you ship many experiments and product improvements in parallel and drive them to a clear outcome.
Familiarity with A/B testing and experimentation platforms (Eppo, Statsig, Optimizely, or in-house equivalents) especially inside a versioned app.
Comfort data-informed decision-making — you can pull, segment, and interpret your own funnel data.
Strong product judgment; you translate user behavior and growth opportunities into simple, effective technical solutions.
Self-motivated with strong ownership instincts; you propose experiments, ship features ahead of schedule, and drive improvements without asking for permission.
Genuine interest and adoption of AI products and willingness to learn quickly.
Nice to have
Direct experience on a growth or experimentation-heavy team
Deep experience with in-app payments
Experience with mobile attribution and measurement stacks (AppsFlyer, Adjust, Branch) and paid mobile acquisition.
ASO experience, including store listing experiments and localized metadata.
Comfort reaching into the backend or web stack to unblock yourself end-to-end.
Time spent at a fast-growing startup or on a high-ownership engineering team.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and a growing share of ...
Remote
Full-Time
Permanent
#United Kingdom
About the Role
We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use tools, skills, and memory. The team designs prompt and context engineering strategies to deliver high-quality user experiences across multiple domains and models.
The ideal candidate for this role has a strong software engineering background, and an analytical, experiment-driven approach to solving challenging problems. You’ll work on context and prompt engineering to shape model behavior and style, and to guide how models use tools, skills, and memory across our products.
What you'll do
Context Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Build self-improvement loops to steer the prompt, improve tool/skill use, and improve the ability to draw on memory.
Model Releases: Help experiment with and release new models.
Research & Analysis: Identify inconsistencies and failure modes in model outputs through well-designed research projects, for both internal and production systems.
Knowledge Sharing: Help engineers across teams build intuition for prompt design and context engineering best practices.
Staying Current: Track the latest prompting, context engineering, and alignment techniques from industry and academia, and bring the best ideas back to the team.
What We're Looking For
Required
2 to 10+ years of experience in software engineering or research.
Strong background in software engineering fundamentals, and a technical understanding of LLM-driven and agentic systems.
Experience shaping LLM behavior through prompts, tool and skill design, or memory systems.
Strong written and verbal communication skills, particularly in explaining complex concepts to diverse stakeholders.
Nice to have
Recent experience working on modern LLM-driven products.
Experience working across teams or with external partners.
Experience designing evaluations or benchmarks for AI systems.
About the Role We're hiring software engineers for the Model Behavior team to help shape how Perplexity’s AI products behave: the style of their responses, and the way they use t...
Remote
Full-Time
Permanent
#United Kingdom
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an agent takes is metered, budgeted, and settled through the billing platform this role owns.
Perplexity Computer is one of the defining products of the new era of agentic AI. Millions of people use Perplexity to transform knowledge into action, and the Capabilities team sits at the intersection of frontier AI research and product innovation, building the foundations that shape how users and agents solve increasingly complex tasks.
As every major breakthrough in AI models creates new possibilities, the Capabilities team is responsible for turning frontier AI breakthroughs into reusable product capabilities. We are often the first to evaluate emerging model capabilities, define how they should appear in the product, and transform them into reliable, production grade experiences for both users and agents. This is a highly leveraged role with broad ownership at the intersection of frontier AI research, agent systems, platform engineering, and product innovation.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
Why Perplexity is different
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
Investigate emerging frontier-model behaviors and identify opportunities to turn them into product capabilities. Help define how advances in reasoning, planning, memory, learning, and agent collaboration appear in the product.
Build and evolve Skills, Workflows, and Artifacts into a coherent ecosystem. Shape the architecture, abstractions, and product experiences that enable both users and agents to compose increasingly sophisticated solutions for complex real-world tasks.
Own capabilities end-to-end, from user-facing products and interfaces to backend services, evaluation, data models, and production operations.
Build scalable platform infrastructure and backend systems that power capability execution, sharing, and lifecycle management across high volume user and agent interactions.
Collaborate closely with PM, Design, Data Science, Sales, Research, to identify high-impact opportunities in both consumer and enterprise customer experiences, validate emerging capabilities, and translate complex agent behaviors into simple, reliable product experiences.
Set technical direction on ambiguous problems and raise the bar through design reviews, mentorship, and technical leadership.
Qualifications
Typically 8+ years of professional software engineering experience, with a track record of owning and delivering complex products or systems from conception to production. Exceptional candidates with less experience and an outstanding record of impact are encouraged to apply.
Strong full-stack engineering fundamentals, including experience building user-facing products, backend services, and scalable distributed systems that serve high traffic and large user bases.
Strong product judgment and instincts; you turn vague needs into simple, reliable systems and ship without waiting for perfect specs.
Comfort with data-informed decisions; you define the metrics and evals that prove a system works, and iterate on them.
Experience designing abstractions, platforms, or reusable systems that enable other engineers, users, or automated systems to accomplish complex tasks.
Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear user impact.
Genuine interest in frontier AI capabilities, agent systems, and excitement for rapidly exploring, evaluating, and productizing new model behaviors.
Nice to have
Experience building agentic systems (tool calling, subagents, long-running or autonomous task execution).
Experience building developer platforms or reusable-capability primitives (SDKs, plugin systems, workflow engines).
Experience with evaluation, benchmarking, or quality systems for ML/LLM-powered products.
Time spent at a fast-growing startup or on a high-ownership engineering team.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and every action an age...
Remote
Full-Time
Permanent
#United Kingdom
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Experience team builds the foundation that lets organizations bring that power to every employee with confidence, control, and scale.
Enterprise Experience is the team that brings Perplexity into the workplace. You’ll build user-facing products that help organizations adopt products like Computer in practical, everyday tasks, and also guide organization admins to onboard and enable their teams to use Perplexity products effectively.
Tech Stack: Python | Go | PostgreSQL | DynamoDB | AWS | TypeScript | React
Why Perplexity is different
Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious.
Ownership. You identify the problem, design the solution and ship it.
Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
What you'll do
Build intelligent products across onboarding, membership management, organization insights, permissions, subscriptions, billing, and usage controls.
Build systems that help organizations manage Perplexity at scale, from first setup through expansion, making it easier for admins to onboard teams, configure features, manage usage, and understand spend.
Collaborate closely with PM, Design, Data Science, Sales, and Enterprise customers to turn complex administrative, billing, and governance needs into simple, reliable product experiences.
Own critical platform primitives end-to-end, from frontend admin flows to backend services, data models, billing integrations, observability, and production operations.
Qualifications
4+ years of professional software engineering experience; we’re open to strong junior and mid-level candidates with a track record of shipping.
Backend / Full Stack engineering skills, with experience in designing and building scalable and reliable distributed systems, serving high traffic and a large user base.
Strong execution: you can take ambiguous product needs, break them down, and ship durable systems with clear customer impact.
Experience building product or platform features that require careful data modeling, state management, backend correctness, and high-quality user experience.
Strong product judgment; you can make complex admin, billing, and permissions workflows feel simple and intuitive.
Self-motivated with strong ownership instincts; you identify problems, propose solutions, and drive improvements without waiting for perfect specs.
Genuine interest in AI products and willingness to learn quickly.
Nice to have
Experience building enterprise SaaS products, admin consoles, membership systems, RBAC/permissions, or organization management features.
Experience with subscriptions, billing systems, or usage-based pricing.
Familiarity with security, compliance, or governance concerns in enterprise products.
Experience partnering directly with Sales, Finance, Support, or enterprise customers to solve high-impact product and platform problems.
Time spent at a fast-growing startup or on a high-ownership engineering team.
In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people now use Perplexity to transform knowledge into action, and the Enterprise Expe...
Remote
Full-Time
Permanent
#United Kingdom
Perplexity is looking for a frontend engineer to build the design system behind every Perplexity product. It is the component library and design language shared across web, iOS, Android, macOS, and Windows – the primitives, tokens, and interaction patterns that every product team builds on top of.
Its users are internal, spanning product teams and a broad range of contributors across the company. The components you build become the foundation all of them rely on. You will develop component APIs that hold up across dozens of consuming surfaces and are easy for other teams to adopt correctly, contribute to the token pipeline that keeps five platforms visually consistent, and maintain a high bar for interaction quality and accessibility.
Tech Stack: React · TypeScript · CSS · Design Tokens
What you'll do
Design and build core primitives – overlays, inputs, navigation, feedback – with APIs that stay coherent as consumers multiply
Work across the design-token pipeline – authoring, generation, and per-platform publishing across web, iOS, Android, macOS, and Windows
Partner directly with design on the design language itself, translating Figma systems into typed, testable, documented components
Migrate product surfaces off bespoke implementations onto shared primitives without breaking them
Build accessible components by default – keyboard, focus, contrast, screen readers – backed by automated coverage
Support consuming teams through docs, visual regression coverage, and on-call rotation
What we're looking for
4+ years building production frontend; experience with a design system, component library, or shared UI platform is a plus
Interest in building reusable components
Strong React and TypeScript, and CSS
Working accessibility knowledge (WCAG, ARIA patterns, assistive tech)
Comfort collaborating closely with designers on the visual and interaction language
Perplexity is looking for a frontend engineer to build the design system behind every Perplexity product. It is the component library and design language shared across web, iOS, An...
Remote
Full-Time
Permanent
#United Kingdom
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you will be partnering closely with our Inference and Research teams to build, deploy, and optimize our large-scale AI training and inference clusters.
Responsibilities
Design, deploy, and maintain scalable Kubernetes clusters for AI model inference and training workloads
Manage and optimize Slurm-based HPC environments for distributed training of large language models
Develop robust APIs and orchestration systems for both training pipelines and inference services
Implement resource scheduling and job management systems across heterogeneous compute environments
Benchmark system performance, diagnose bottlenecks, and implement improvements across both training and inference infrastructure
Build monitoring, alerting, and observability solutions tailored to ML workloads running on Kubernetes and Slurm
Respond swiftly to system outages and collaborate across teams to maintain high uptime for critical training runs and inference services
Optimize cluster utilization and implement autoscaling strategies for dynamic workload demands
Qualifications
Strong expertise in Kubernetes administration, including custom resource definitions, operators, and cluster management
Hands-on experience with Slurm workload management, including job scheduling, resource allocation, and cluster optimization
Experience with deploying and managing distributed training systems at scale
Deep understanding of container orchestration and distributed systems architecture
High level familiarity with LLM architecture and training processes (Multi-Head Attention, Multi/Grouped-Query, distributed training strategies)
Experience managing GPU clusters and optimizing compute resource utilization
Required Skills
Expert-level Kubernetes administration and YAML configuration management
Proficiency with Slurm job scheduling, resource management, and cluster configuration
Python and C++ programming with focus on systems and infrastructure automation
Hands-on experience with ML frameworks such as PyTorch in distributed training contexts
Strong understanding of networking, storage, and compute resource management for ML workloads
Experience developing APIs and managing distributed systems for both batch and real-time workloads
Solid debugging and monitoring skills with expertise in observability tools for containerized environments
Preferred Skills
Experience with Kubernetes operators and custom controllers for ML workloads
Advanced Slurm administration including multi-cluster federation and advanced scheduling policies
Familiarity with GPU cluster management and CUDA optimization
Experience with other ML frameworks like TensorFlow or distributed training libraries
Background in HPC environments, parallel computing, and high-performance networking
Knowledge of infrastructure as code (Terraform, Ansible) and GitOps practices
Experience with container registries, image optimization, and multi-stage builds for ML workloads
Required Experience
Demonstrated experience managing large-scale Kubernetes deployments in production environments
Proven track record with Slurm cluster administration and HPC workload management
Previous roles in SRE, DevOps, or Platform Engineering with focus on ML infrastructure
Experience supporting both long-running training jobs and high-availability inference services
Ideally, 3-5 years of relevant experience in ML systems deployment with specific focus on cluster orchestration and resource management
We are looking for an AI Infra engineer to join our growing team. We work with Kubernetes, Slurm, Python, C++, PyTorch, and primarily on AWS. As an AI Infrastructure Engineer, you ...
Remote
Full-Time
Permanent
#London
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexity's infrastructure, applications, and AI systems. You'll plan and execute red team operations, penetration tests, and attack simulations across our cloud infrastructure, web and mobile applications, AI/ML pipeline, and corporate environment—finding real vulnerabilities before adversaries do and working directly with engineering teams to drive remediation.
Responsibilities
Plan and execute red team and purple team engagements simulating advanced threat actors across cloud infrastructure (AWS, Kubernetes), endpoints, and application surfaces
Conduct continuous penetration testing of web applications, APIs, mobile clients, browser extensions, cloud infrastructure, and internal services
Assess AI/ML-specific attack surfaces including prompt injection, model exfiltration, agent abuse, tool-use exploitation, and MCP security boundaries
Develop and maintain custom offensive tooling, exploits, and automation to improve the efficiency and coverage of security testing
Perform open-scope adversary simulations that test detection and response capabilities end to end, collaborating closely with the defensive security team
Drive threat modeling sessions with engineering teams to identify and prioritize attack vectors in new features and architectures
Deliver clear, actionable findings to both technical and executive audiences; partner with engineering to validate remediations
Contribute to the security of CI/CD pipelines, supply chain integrity, and secrets management through offensive assessment
Stay current on emerging attack techniques, vulnerability research, and adversary tradecraft; bring external perspective into Perplexity's security strategy
Qualifications
5+ years of hands-on experience in offensive security, red teaming, or penetration testing
Deep technical expertise in at least two of: cloud security (AWS/GCP/Azure), web/API application security, Kubernetes and container security, macOS/Linux endpoint security, network penetration testing, or CI/CD pipeline security
Track record of discovering impactful vulnerabilities or developing novel attack techniques in production environments
Strong programming and scripting skills in Python, Go, or similar languages; comfortable writing custom tooling and exploits
Experience with industry-standard offensive tools (Burp Suite, Cobalt Strike / Sliver / Mythic, Metasploit, BloodHound, nuclei, etc.) and ability to operate beyond them
Excellent written and verbal communication; able to translate complex technical findings into clear risk narratives
Experience assessing AI/ML systems, LLM applications, or agentic workflows for security vulnerabilities
Bonus: Published security research, conference talks (DEF CON, Black Hat, BSides), CVE credits, or meaningful bug bounty contributions
Perplexity is seeking a highly skilled, experienced and hands-on Offensive Security Engineer to join our dynamic security team, taking an adversarial approach to hardening Perplexi...
Remote
Full-Time
Permanent
#United Kingdom
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team ensures that our prompts, tools, search, and specialized datasets, combined with both frontier and in-house models, create the best possible experience for our users. As our product evolves, our evaluations must remain fast, accurate, and actionable. In this role, you will build the data flywheel that serves teams across Perplexity.
Responsibilities
Build the systems and pipelines that enable Search, Product, and other teams to independently access and utilize reliable eval verdicts without bottlenecks
Take ownership of the "evals-to-product" loop, autonomously determining the best way to turn raw signals into durable datasets that power decision-making across the company
Build a robust simulator pipeline capable of replaying user interactions with the product in formats legible to LLMs and VLMs, reflecting product changes as they are shipped
Maintain data trust by implementing monitoring, lineage, and quality checks, ensuring downstream consumers can rely on the results implicitly
Operate in a small, high-impact team where your work directly shapes how Perplexity measures and improves Answer Quality
Qualifications
3+ years of software engineering experience shipping production systems
Strong proficiency in Python and SQL with the ability to write production-grade, maintainable code
Experience with big data systems including distributed compute and large-scale storage
Solid fundamentals in data modeling, system design, and debugging distributed systems
Experience with AWS and lakehouse ecosystems like Databricks or Spark
Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster
Preferred Qualifications
Data engineering background including pipelines, orchestration, and warehousing patterns
Familiarity with LLM/VLM interfaces, tokenization, structured formats, and multimodal payloads
Experience with evaluation platforms, experimentation systems, or machine learning infrastructure
Prior work supporting customer-facing products at scale
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and specialized data sources. The Answer Quality team e...
Remote
Full-Time
Permanent
#United Kingdom
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search-based LLM answers and other scenarios popular with our users.
Responsibilities
Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity's products, ensuring high standards for accuracy and helpfulness
Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer's quality
Develop VLM-based solutions to programmatically evaluate how final answers render visually across different platforms and devices
Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements
Operate within a small, high-impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality
Qualifications
PhD or MS in a technical field or equivalent experience
4+ years of experience in data science or machine learning
Strong proficiency in Python and SQL (expected to write production-grade code)
Experience building within a modern cloud data stack, specifically AWS and Databricks
Comfortable with agentic coding workflows and using AI-assisted development tools to iterate faster
Preferred Qualifications
1+ years of experience working with LLMs at scale, specifically with LLM-as-a-judge setups
Prior experience working on customer-facing web products or consumer apps, with real user traffic at scale
A strong research background, with experience applying research methods to real-world ML problems
Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the lat...
Remote
Full-Time
Permanent
#United Kingdom
About the Role
The Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of heterogeneous integrations (native, MCP, CLI, first-party, and third-party APIs) into one unified, reliable, well-typed surface that agents can call with confidence.
The connector platform is the core layer that forms the knowledge layer for Computer: it is how the agent discovers what tools exist, understands what each one means, decides which to call, and grounds its reasoning in real, permissioned, up-to-date enterprise data. We maintain a knowledge layer above connectors that pushes and pulls context into them, rather than letting each connector hoard org knowledge on its own, making Computer the source of truth for institutional knowledge. Models are commoditizing; grounded, actionable, permissioned access to a customer's real systems is not. When this layer is fast, accurate, and semantically rich, every agent built on top of it gets smarter; when it is weak, no amount of model quality compensates.
Key Responsibilities
Own the design and implementation of the connector runtime, the system that registers, hosts, and executes built-in connectors, hosted MCP servers, and CLI-backed tools behind a single agent-facing interface.
Build and extend the semantic layer: tool and entity schemas, capability metadata, relationship modeling, and the mechanisms for capturing and applying organization- and account-specific corrections and knowledge.
Design the tool-discovery and tool-selection surfaces that agents use to find the right connector and call it correctly, optimizing for both model accuracy and context efficiency.
Make agent loops robust: structured results, partial-failure and retry semantics, idempotency, pagination, rate-limit handling, and observability into every tool call an agent makes.
Define authentication, authorization, and credential-isolation patterns for connectors (OAuth flows, BYOK, per-org credential boundaries), partnering with Security and Backend Platform on defense-in-depth.
Build the connector onboarding path (schemas, fixtures, and evaluation suites) so new connectors ship with measurable quality rather than hope, and drive the eval metrics that tell us a connector actually works inside agent loops.
Set the technical bar for connector reliability and operability: SLAs, observability, error-rate monitoring, and incident response for an always-on, high-fan-out integration surface.
Partner with product and AI teams to define clear connector interfaces and integration patterns so new agent capabilities can reliably build on the shared platform.
Qualifications
Experience designing and building backend systems that run in production (typically 4+ years for mid-level, more for senior and staff).
Strong system design skills, with a track record of building efficient, reliable, and scalable architectures, ideally including API integration, gateway, or platform-style systems with many heterogeneous downstreams.
Strong proficiency in at least one backend language such as Python, Go, or Rust, and the ability to work effectively in a multi-language environment.
Hands-on experience with modern infrastructure (for example AWS, Kubernetes, and related cloud technologies).
Depth in at least one of: OAuth and authorization protocols, API/connector or MCP-server development, schema and semantic modeling, or building tooling and evaluation for LLM-based agents.
Comfort working in security-sensitive areas (auth, authorization, credential isolation) and making pragmatic trade-offs between safety, simplicity, and velocity.
Collaborative mindset and eagerness to solve hard, ambiguous problems alongside other experienced engineers.
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
About the Role The Connector Platform team builds the data layer that lets Perplexity's agents reach into the world's software. This team owns the systems that turn hundreds of het...
Remote
Full-Time
Permanent
#United Kingdom
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.
Responsibilities
Relentlessly push search quality forward—through models, data, tools, or any other leverage available
Architect and build core components of our search platform and model stack
Train and evaluate retrieval, ranking and classification models, including LLMs
Deploy models - from boosting to LLMs - in a scalable and performant way
Build and optimize RAG pipelines for grounding and answer generation
Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery
Qualifications
Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
Proven track record with large-scale search or recommender systems
Self-driven, with a strong sense of ownership and execution
Minimum of 5 years of working on search or recsys-related projects
Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibil...
Remote
Full-Time
Permanent
#Belgrade
About Perplexity AI
Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear citations. It combines multiple leading models with real-time search to synthesize up-to-date, source-linked responses instead of traditional search results. On top of this foundation, Perplexity is rolling out Computer, a general-purpose AI worker that can use software like a human to research, build, and execute end-to-end workflows for users.
About the Role
Perplexity is building AI systems that integrate directly into how enterprises operate. Our API Platform powers search, retrieval, and automation across structured and unstructured data, while Perplexity Computer extends this into the execution of an AI system that navigates tools, interacts with applications, and completes multi-step workflows. Together, these platforms form a new integration layer, connecting models, data, and enterprise systems into end-to-end workflows.
We’re looking for Forward Deployed Engineers to work directly with customers to design and deploy these integrations in production. You’ll embed with teams, connect Perplexity into their existing stack, and build systems that automate real work.
This role spans two closely connected areas:
API Platform: integrating search, retrieval, and AI capabilities into enterprise systems
Perplexity Computer: deploying agentic workflows that operate across tools, applications, and data
Perplexity’s platforms are redefining how AI is integrated into enterprise operations. You’ll work on cutting-edge AI systems, building end-to-end workflows and integrations that solve real business problems at scale.
This is a unique opportunity to influence both product and adoption, embed AI deeply in enterprise workflows, and shape the future of how organizations operationalize AI.
Key Responsibilities
Design, build, and deploy end-to-end integrations between Perplexity and enterprise systems (data platforms, internal tools, SaaS applications), translating business workflows into production-grade AI systems
Work directly with customer teams to embed AI into existing processes, owning deployments from initial architecture through production rollout and ongoing optimization
Develop and operationalize integrations using APIs, event-driven architectures, and workflow orchestration, including deploying Perplexity Computer for multi-step, agent-driven workflows across tools and environments
Design and build production systems that combine retrieval, reasoning, and execution across enterprise environments, applying deep expertise in LLM capabilities, implementation patterns, and the AI stack to drive performance, security, and customer impact
Debug and resolve issues across APIs, infrastructure, and external dependencies, ensuring reliability, performance, and scalability in production
Prototype new integration patterns and build reusable architectures that accelerate adoption across customers
Partner with Sales and Product to unlock new use cases, drive expansion, and translate deployment learnings into product and platform improvements
Qualifications
5+ years of experience in software engineering, forward deployed engineering, solutions engineering, or similar roles, with a track record of building and shipping production systems in customer-facing environments
Strong programming ability in Python (plus one of JavaScript/TypeScript, Java, etc.) with experience developing integrations, prototypes, and scalable applications
Deep experience with APIs and distributed systems, including authentication, latency optimization, and debugging across complex, multi-system environments
Production experience building LLM-powered systems, including prompt engineering, agent workflows, evaluation, and deploying AI systems at scale
Proven ability to design and implement automated, end-to-end workflows that integrate across enterprise systems and replace manual processes
High ownership and ability to operate in ambiguous environments, with strong system design, rapid prototyping skills, and end-to-end execution
Excellent communication and collaboration skills, with experience working cross-functionally and engaging both technical teams and executive stakeholders
Nice-to-Haves
Experience with search systems, retrieval-augmented generation (RAG), or AI/ML APIs
Background in developer tools, platform engineering, or high-scale/low-latency system design
History of working at startups or small teams, owning customer projects end-to-end
Experience with enterprise IT systems or AI deployment patterns in regulated industries (finance, healthcare, life sciences)
If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.
About Perplexity AI Perplexity is an AI-powered answer engine built to serve the world’s curiosity with fast, trustworthy answers grounded in the live web and backed by clear cit...
Remote
Full-Time
Permanent
#United Kingdom
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices.
For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and Europe. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs
Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear
Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution
Guide and inspire fellow designers through collaborative critique of work-in-progress
Use and improve our lightweight design system components
Help with hiring new teammates that can elevate our team and product
What we’re looking for
7+ years experience designing software
Courage to ask questions, experiment, and advocate for what you feel is right
Humility to accept feedback, adapt your thinking, and iterate toward the best solution
Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami)
Ability to distill problems and feedback, then design clear, focused solutions
Effective written and verbal communication skills — much of our work is async
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
Competitive salary and equity
Employee-friendly equity terms including early exercise in the US and extended exercise windows
Daily meal and coffee stipend on every workday
Paid co-working space or desk
Health coverage (based on country requirements)
5 weeks paid vacation, plus local statutory holidays
4 months paid parental leave
Paid month off after 4 years & every 2 years thereafter
Regular team events and off-sites
Remote-first with no required commute
Learn how we think and work
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app email address, and all open roles are listed at linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to [email protected].
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requ...
Remote
Full-Time
Permanent
#Europe
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
Quality is our competitive advantage. Every member of our fully remote team is a maker at heart, caring deeply about the quality and feel of our work. While the industry optimizes for speed and metrics alone, we believe that craft and quality have lasting value. Quality creates gravity — it pulls people toward our team and product rather than requiring us to push. This philosophy drives everything we do, from product decisions to hiring choices.
For this role, we expect robust design skills, sharp product thinking, and the ability to engage in technical discussions. We work in small, autonomous project teams, where engineers are paired tightly with designers to explore ideas, build prototypes, deploy internal builds, and ultimately ship to customers. You will be a key element of projects from beginning to end.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
Pair closely with engineering and product to initiate and complete roadmap projects, no hand-offs
Spot opportunities to redesign or refine key screens and flows, as well as smaller quality issues and “paper cuts” as you use Linear
Create mockups, prototypes, and high-fidelity visuals to communicate ideas and describe their execution
Guide and inspire fellow designers through collaborative critique of work-in-progress
Use and improve our lightweight design system components
Help with hiring new teammates that can elevate our team and product
What we’re looking for
7+ years experience designing software
Courage to ask questions, experiment, and advocate for what you feel is right
Humility to accept feedback, adapt your thinking, and iterate toward the best solution
Experience with prototyping in Figma (and beyond with tools like AI, HTML/CSS, Origami)
Ability to distill problems and feedback, then design clear, focused solutions
Effective written and verbal communication skills — much of our work is async
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
Competitive salary and equity
Employee-friendly equity terms including early exercise in the US and extended exercise windows
Daily meal and coffee stipend on every workday
Paid co-working space or desk
Health coverage (based on country requirements)
5 weeks paid vacation, plus local statutory holidays
4 months paid parental leave
Paid month off after 4 years & every 2 years thereafter
Regular team events and off-sites
Remote-first with no required commute
Learn how we think and work
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app email address, and all open roles are listed at linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to [email protected].
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requ...
Remote
Full-Time
Permanent
#North America
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
We’re looking for experienced engineers who have shipped applied AI systems to production and want to define what the agent-native future looks like. We are building intelligence into the core of Linear, enabling the product to orchestrate coding, proactively move work forward, and power-up every software team.
You’ll work closely with product and design to transform foundation models into structured, reliable workflows embedded deeply in the core of Linear. We care deeply about keeping Linear fast, intuitive, and opinionated—AI is no exception.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
Build AI-powered product features that feel native, fast, and delightful to use
Work with product and design to prototype and iterate on intelligent workflows and user interactions
Design backend services to power natural language interfaces, smart suggestions, agentic workloads, and more
Optimize prompts, fine-tune model behavior, and evaluate performance
Help to guide our agent platform, allowing third parties to bring agents into the core Linear experience as teammates.
Contribute to the architecture for AI-integration infrastructure that’s reliable and privacy-aware
What we're looking for
5+ years of experience building customer-facing products at a high-quality software company
Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
Thrives in a remote, async-first environment with a lean, high-output team
Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
Agentic workload system utilizing temporal, operating at production scale
Proprietary websocket data sync framework built for speed and offline support
React, MobX, styled-components on the frontend
Extensive, widely used, GraphQL API and SDK
Node, Postgres, Temporal, and Redis in the backend
Hosted on Google Cloud with k8s
GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
Competitive salary and equity
Employee-friendly equity terms including early exercise in the US and extended exercise windows
Daily meal and coffee stipend on every workday
Paid co-working space or desk
Health coverage (based on country requirements)
5 weeks paid vacation, plus local statutory holidays
4 months paid parental leave
Paid month off after 4 years & every 2 years thereafter
Regular team events and off-sites
Remote-first with no required commute
Learn how we think and work
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app email address, and all open roles are listed at linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to [email protected].
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requ...
Remote
Full-Time
Permanent
#North America
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a small team, we’re all generalists that work across the full stack (built in Typescript end-to-end). We’re looking for experienced engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
Work closely with founders and design to implement new concepts and ideas
Build AI-powered functionality into the core of Linear
Update our realtime collaborative content editor used across all internal surfaces
Build new user-facing features with beautiful and scalable UI components
Obsessively improve application performance
Refine our software development processes to keep the team operating at high velocity
What we're looking for
5+ years of experience building customer-facing products at a high-quality software company
Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
Thrives in a remote, async-first environment with a lean, high-output team
Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
Agentic workload system utilizing temporal, operating at production scale
Proprietary websocket data sync framework built for speed and offline support
React, MobX, styled-components on the frontend
Extensive, widely used, GraphQL API and SDK
Node, Postgres, Temporal, and Redis in the backend
Hosted on Google Cloud with k8s
GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
Competitive salary and equity
Employee-friendly equity terms including early exercise in the US and extended exercise windows
Daily meal and coffee stipend on every workday
Paid co-working space or desk
Health coverage (based on country requirements)
5 weeks paid vacation, plus local statutory holidays
4 months paid parental leave
Paid month off after 4 years & every 2 years thereafter
Regular team events and off-sites
Remote-first with no required commute
Learn how we think and work
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app email address, and all open roles are listed at linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to [email protected].
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requ...
Remote
Full-Time
Permanent
#Europe
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a small team, we’re all generalists and constantly picking up new challenges. When it comes to code, we’re looking to work with experienced people who can pick a problem and solve it. We use TypeScript and build scalable systems so we can continuously make progress on a solid foundation. We don’t expect you to have a background in everything we use, but we do expect strong JavaScript fundamentals and a background working with React and TypeScript.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America and Europe. You can work from most timezones within these regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
Build new user-facing features with everything from database models to GraphQL resolvers and UI components
Optimize our data synchronization stack by applying better serialization protocols
Add real-time collaborative editing to our content editor
Improve performance by profiling and tweaking virtualized list rendering
Add analytics, monitoring, and alerts to our service so that we can better respond to operational incidents
Open-source any non-trivial innovations that come out of our work on the product
Redefine best-in-class software development processes so that we can build a purpose-built product.
What we're looking for
5+ years of experience building customer-facing products at a high-quality software company
Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
Thrives in a remote, async-first environment with a lean, high-output team
Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
Agentic workload system utilizing temporal, operating at production scale
Proprietary websocket data sync framework built for speed and offline support
React, MobX, styled-components on the frontend
Extensive, widely used, GraphQL API and SDK
Node, Postgres, Temporal, and Redis in the backend
Hosted on Google Cloud with k8s
GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
Competitive salary and equity
Employee-friendly equity terms including early exercise in the US and extended exercise windows
Daily meal and coffee stipend on every workday
Paid co-working space or desk
Health coverage (based on country requirements)
5 weeks paid vacation, plus local statutory holidays
4 months paid parental leave
Paid month off after 4 years & every 2 years thereafter
Regular team events and off-sites
Remote-first with no required commute
Learn how we think and work
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app email address, and all open roles are listed at linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to [email protected].
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requ...
Remote
Full-Time
Permanent
#Europe
