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Location: Remote (US) About Ondo Capital markets are moving onchain. Ondo Finance is building the products and infrastructure that will bring them there. We create institutional-grade, blockchain-enabled investment products and services, including tokenized treasuries, tokenized stocks and ETFs, and new trading experiences built for global, always-on markets. We are the category leader by AUM, well-capitalized, and backed by investors including Founders Fund, Coinbase Ventures, Pantera Capital, and Tiger Global. The underlying financial infrastructure is complex. We believe the product experience should not be. About the Web team The Web team builds the product layer that makes Ondo's financial infrastructure accessible. We own the experiences through which users onboard, establish eligibility, move money, mint and redeem Ondo Stocks, manage portfolios, and use products across multiple blockchains. We are a small team of exceptional engineers with broad ownership and a high bar for craft, judgment, and execution. We turn complexity across compliance systems, backend services, smart contracts, and external partners into products that feel clear and dependable. Engineering on this team is distinguished by: Product taste. We simplify complex financial workflows without hiding the details that matter. End-to-end ownership. Engineers shape, build, launch, and improve the product. Speed with confidence. We scope sharply, move quickly, and hold a high quality bar. Security and correctness. Access control, auditability, privacy, and failure behavior are design constraints from the start. High agency and low ego. We act without waiting, invite direct critique, and make the team better. About the role As a Full-Stack Engineer focused on Growth, you will design the foundations of how users discover, understand, adopt, and return to Ondo's products. You will own the systems and product experiences that turn user insight into measurable growth across acquisition, activation, engagement, and retention. Your scope spans the full growth loop—from public websites and user-facing product journeys to experimentation, analytics, content systems, backend workflows, and third-party platforms. You will set technical direction, define the measurement foundations, and evolve these systems as our products, markets, and scale change. This is a foundational ownership role for a senior engineer. You will turn ambiguous growth opportunities into clear hypotheses, durable architecture, and polished product experiences. You will partner closely with Product, Design, Marketing, Data, and Engineering while owning the judgment: where friction matters, what to build, how to measure it, and when the evidence calls for a different direction. The goal is not experiment volume. It is to understand users better than anyone else and turn that understanding into durable product improvements and measurable business impact. What you'll do Own the growth engineering strategy across discovery, acquisition, activation, engagement, and retention—from identifying the highest-leverage opportunities through technical design, launch, measurement, and iteration. Design and evolve the foundations for experimentation, event instrumentation, attribution, funnel analysis, content, and lifecycle experiences so the team can move quickly and trust what it learns. Build polished user-facing experiences and the backend systems, data models, APIs, webhooks, and third-party integrations behind them. Work directly with users and product data to identify friction, form clear hypotheses, and make disciplined product and technical bets. Turn validated learning into durable product capabilities and measurable business impact—not one-off experiments. Partner with Product, Design, Marketing, and Data to lead launches, localization, and new ways to grow adoption across Ondo's products. Improve organic discovery and conversion through technical SEO and AEO, performance, structured content, and clear user journeys. Raise the level of the team through clear writing, thoughtful code review, strong operational ownership, and effective use of modern AI engineering tools. What you bring 4+ years of experience building and operating production full-stack applications with React, Next.js, and TypeScript. Experience driving measurable acquisition, activation, engagement, or retention outcomes through growth engineering, product-led growth, consumer product, ecommerce, or similarly data-informed product work. Experience building and operating serverless systems on AWS, including Lambda and adjacent services such as API Gateway, EventBridge, or SQS. Strong experience using BigQuery and product analytics data to model funnels, investigate user behavior, and measure product and business impact. Strong fundamentals in API and data-model design, relational databases, event-driven systems, event instrumentation, experimentation, testing, and observability. A record of owning product work end to end—not only implementing experiments or specifications handed to you. Product taste: you can find the simplest experience that solves the user's problem without ignoring the complexity or edge cases underneath it. Data fluency and intellectual honesty. You can define useful metrics, distinguish signal from noise, and change direction when the evidence challenges your hypothesis. The ability to communicate clearly, learn unfamiliar domains quickly, and create alignment across engineering, product, design, marketing, and data partners. High agency and low ego. You move important work forward, invite strong critique, and care more about the outcome than whose idea wins. Preferred qualifications Experience building fintech, trading, crypto-native, or other high-consideration products where earning user trust is essential. Experience with lifecycle marketing, CRM, CMS, experimentation, localization, or analytics platforms. Familiarity with AEO, structured content, international SEO, and growth across multiple regions or languages. Experience applying AI to prototyping, personalization, analytics, content operations, or other growth workflows. We do not expect every strong candidate to arrive with deep crypto or every growth specialty listed above. We do expect curiosity, strong product and engineering fundamentals, and the ability to turn learning into shipped improvements quickly. What we offer Challenging, high-impact work helping define how a global audience discovers and adopts a new category of financial products. Competitive compensation including salary, future token rights, and/or equity, according to your preferences. Full medical, vision, and dental benefits, plus a flexible vacation policy. A remote-first environment with meaningful autonomy and influence over product and technical direction. Exceptional colleagues from Goldman Sachs, BlackRock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Coinbase, Circle, and Uniswap. Backing from leading crypto experts and investors, including Pantera Capital, Founders Fund, and Coinbase Ventures.

Location: London Workplace: OnSite ABOUT APTURA We build the evaluation datasets and RL environments that make AI reliable in domains where mistakes are expensive: finance, healthcare, and legal. Our team designs expert-curated training data, calibrated rubrics, and verifiable task environments for AI labs and startups pushing the frontier of what models can do in regulated industries. We're a small, lean, London based team that moves fast and takes the work seriously. Everyone contributes directly. Initiative is rewarded, and ownership is the default. If you want to shape how frontier AI learns to operate in the real world, we'd like to hear from you. ABOUT THE ROLE As a Member of Technical Staff on our Software Engineering team, you will build the platform that powers how Aptura operates and scales — the annotation tooling, workflow systems, quality control pipelines, and internal infrastructure that sit behind every dataset and environment we ship. Day to day, that looks like: designing expert task creation flows, building task assignment and review interfaces, writing the data pipelines that move outputs from domain experts into structured training sets, and integrating LLM-powered tooling directly into the product. Some days it's product engineering. Some days it's closer to infrastructure. The common thread is that the software you build is what lets a small team produce high-quality evaluation data at scale. You'll be the person who makes the platform real. Decide what gets built, how it gets built, and set the standard for how we build as we grow. WHAT YOU'LL DO - Build and own the core data annotation and workflow platform end to end — from task assignment and expert interfaces to quality control and dataset delivery - Design systems that support expert onboarding, task routing, review workflows, and QA at scale - Build and improve AI-integrated pipelines across the platform, including LLM-assisted annotation, automated checking, and model-in-the-loop workflows - Work directly with founders and domain operators to turn manual, bespoke processes into reliable, scalable software - Make strong product and engineering decisions in ambiguous, fast-moving situations — scoping, prioritising, and shipping without waiting for perfect specs - Help define how we build as a team: tooling choices, engineering standards, and product direction WHO WE'RE LOOKING FOR You will not be a good fit if you thrive in well-defined scopes and prefer a clear spec before moving. We are looking for people who are comfortable identifying what needs building, making a call, and shipping — often before the full picture is clear. You will not be a good fit if you like to go deep on one technical area for an extended period. We are looking for people who are energised by moving across product, infrastructure, data systems, and AI tooling — sometimes all in the same week. You will not be a good fit if you prefer to hand work off at the boundaries of your role. We are looking for people who want to own problems end to end, from the first conversation through to something live. You will not be a good fit if you aren't yet integrating AI into how you build day to day. We are looking for people who are already using LLMs and coding agents as part of how they work, and are excited to push that further. You will not be a good fit if you think of speed and quality as things you trade off against each other. We are looking for people who don't cut corners — they cut scope. We don't care about background, experience, or prestige. We want people who can demonstrate they will work hard, learn fast, and ship things that matter. Former founders, early engineers at startups, and people with infrastructure experience are a plus. NICE TO HAVE - Experience building internal tools, annotation platforms, workflow software, or operations-heavy products - Familiarity with modern product stacks: React, Next.js, TypeScript, Node.js, FastAPI, or similar - Exposure to AI products, LLM tooling, or evaluation workflows - Domain interest in finance, healthcare, or legal - Previous experience as an early or founding engineer On-site in London. Compensation (salary + equity) will be competitive.

Location: New York City Office Workplace: Hybrid Allara https://www.allarahealth.com is a comprehensive women’s health provider that specializes in expert, longitudinal care that supports women through every life stage. Trusted by thousands of women nationwide, Allara makes expert healthcare accessible by connecting patients with multidisciplinary care teams that have a deep understanding of hormonal, metabolic, and reproductive care. Allara provides ongoing support for hormonal conditions like PCOS, chronic conditions like insulin resistance, and life stages like perimenopause, helping patients see improved health outcomes https://cdn.prod.website-files.com/637f55cdd2e0aa051d497c52/68e6aa0f8fcce5c60e922219_Outcomes%20Impact%20Report%202025%20Web%20Display.pdf. As one of the fastest-growing women’s health platforms in the U.S., Allara is bridging long-overlooked gaps in healthcare for women. The Opportunity We're looking for a Staff Software Engineer to help build the technical foundation that will scale our platform and transform women's healthcare delivery. You'll design and build resilient, event-driven distributed systems, from AI-powered health companions that help women manage their conditions to complex integrations with healthcare systems nationwide. This is an opportunity to write code that matters: shaping engineering best practices, mentoring a growing team, and directly impacting how hundreds of thousands of women access personalized care. Location: Hybrid (NYC). We value in-person collaboration and aim for at least three days per week in our NYC office, with flexibility as needed. Your Impact - Design and implement scalable distributed architectures that support personalized care delivery for a rapidly growing patient base - Own technical initiatives across the stack, from AI/ML-powered health guidance tools to EMR, billing, and scheduling integrations - Help define engineering standards, architectural patterns, and best practices that enable the team to move fast without breaking things - Mentor and grow engineers across the team, fostering a culture of technical excellence and collaborative problem-solving - Partner with product, clinical, and data teams to translate complex healthcare requirements into elegant technical solutions - Drive build vs. buy decisions, technology selection, and infrastructure investments that balance current needs with future scale Required Qualifications - 7+ years of software engineering experience, with 2+ years in a Staff or Principal role - Proven track record designing and building distributed systems at scale, with a deep understanding of system design tradeoffs - Strong full-stack capabilities with expertise in modern backend technologies (Python, TypeScript, Go, or similar) and AWS - Experience architecting systems in regulated industries (healthcare, fintech) with considerations for security, compliance, and data privacy - Demonstrated ability to mentor engineers and elevate team technical capabilities through code review, design guidance, and knowledge sharing - Excellent communication skills; able to articulate complex technical concepts to both technical and non-technical stakeholders Bonus Points - Background in healthcare technology, including EMR integrations, HL7/FHIR standards, or telehealth platforms - Experience building AI agents or Model Context Protocol (MCP) integrations - Prior experience at a high-growth startup, particularly during scaling phases (Series B–D) - Familiarity with Next.js and CQRS What Allara Offers: Compensation & Career Growth - $201,000 - $250,500 with opportunities for advancement - Equity - Professional development & employee learning programs Actual compensation will be determined based on a variety of factors, including but not limited to: candidate experience, location, education, certifications, and skill set. In addition to base salary, our total compensation package includes equity, comprehensive health benefits (medical, dental, vision), generous paid time off, and additional wellness and professional development perks. Work Environment & Flexibility - 3-day hybrid in NYC - Unlimited PTO & 11 company holidays Health & Wellness - Medical, dental, and vision benefits - Health Savings Account (HSA) & Flexible Spending Account (FSA) - Long- and short-term disability coverage - Annual employee wellness stipend Family & Future Planning - 401(k) plan - Parental leave & family planning support benefits Additional Perks - Company-issued laptop - Annual work-from-home stipend - Commuter benefits (if applicable) - A collaborative, mission-driven culture focused on improving patient care At Allara https://www.allarahealth.com/, we believe in celebrating everything that makes us human and are proud to be an equal-opportunity workplace. We embrace diversity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better we can serve our members. We’re an Equal Opportunity Employer and do not discriminate against candidates or patients based on race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Ищем к нам в команду Middle+ Frontend/Web разработчика на быстрорастущий Исламский стартап. Требования: — Навыки React — Навыки Next.js — Навыки TypeScript — Желателен опыт работы с аудио стримингом.

Location: USA Workplace: remote JTX is our trading app, and it runs on the fastest market infrastructure on Solana, which we also built. What nobody has done yet is make that speed something a trader can feel. That is this job. JTX is live. Two frontend engineers built it to this point and you would be the third. The work now is one to a hundred: harden what exists, make it hold up under real volume, expand onto mobile, and raise the ceiling on every screen a trader touches. We're a small team with product-market fit. That means: High ownership: every team member drives significant technical decisions and shapes our product roadmap. Fast execution: we ship rapidly and iterate based on real-world feedback. Progress, not motion. High quality bar: the details are the product. We don't trade them for speed. About the Position You'll own the surface of JTX across web and mobile: order entry, market data, charts, positions, execution quality, onboarding, and the wallet flows underneath all of it. The role suits a generalist with strong taste. You'll partner with design, product, and the infrastructure team, and you'll make architectural calls that stick for years. If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role. Stack: React 19 + TypeScript on Next.js. Jotai + TanStack Query. Tailwind with a token-based design system. TradingView Advanced Charts on our own datafeed. Privy wallets. WebSockets to our engine. Web ships as a PWA; native mobile apps are in development. What's Hard Right Now Data freshness: several live WebSocket streams (order book, trades, candles, stats) feed many panels at once; keeping them fast, consistent with each other, and honest through async gaps (stale quotes, pending fills) Performance: a data-dense terminal that stays smooth under constant streaming updates, including on mid-range hardware Security: wallet signing, session auth, strict CSP, hardened supply chain Shipping volume: three engineers own the entire surface of a live exchange; the backlog is bigger than the team, so throughput and prioritization are part of the job Keeping product behavior and design language consistent between web and mobile while being very attentive to nuances of each mobile platform Making execution quality something a trader can see in a glance instead of something they take on faith What You'll Do Build and own the JTX client across web and mobile Ship real-time trading interfaces: order books, charts, order entry, positions, fill and execution visibility Hit tight latency and render budgets against streaming market data, and decide what belongs on the client versus the server Build wallet and signing flows, including self-custodial and embedded wallet onboarding Own the shared component, state, and data layers the rest of the product team builds on Make architectural decisions that hold as the codebase, the team, and the user base grow by an order of magnitude Ship fast, watch real users, iterate What We're Looking For Attention to detail bordering on obsessive. You can look at a screen and say what is wrong with it, and it bothers you until it's fixed. 5+ years building production frontend, including something real-time, data dense, or financial Deep React and TypeScript. You can explain why a component re-rendered and then fix it. Mobile experience: React Native, Expo, or native iOS and Android Strong fundamentals: browser performance, memory, websockets, network behavior under load Security-first instincts around signing flows, key handling, and what should never touch a log Comfortable in a codebase that is already live. You can refactor and clean up without stopping shipping. Able to weigh business and engineering tradeoffs, and to explain complicated things simply Relevant Background If you have experience in any of the following, you may be a good fit: Trading terminals, exchange or brokerage frontends Consumer fintech apps at scale Charting, time series, or high-frequency data visualization (canvas, WebGL) Solana or EVM app development, wallet integrations, transaction signing Maintaining a public TypeScript library or design system

Location: Singapore About the Company Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team. The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant. Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive. About the Role Our client is looking for a Full Stack Engineer – AI Systems to build AI-native product experiences that transform advanced AI capabilities into intuitive, production-ready workflows. This role combines frontend, backend, and AI engineering to develop intelligent features that are reliable, scalable, and user-centric. Working closely with product, backend, and machine learning teams, this position will focus on designing end-to-end AI workflows, integrating large language models (LLMs), and delivering seamless user experiences across web applications. Key Responsibilities Build end-to-end product features across frontend, backend, and AI integrations. Design and develop AI agent workflows that support planning, tool usage, failure handling, and recovery across multiple steps. Integrate LLMs, memory systems, and external tools into scalable, production-grade applications. Design responsive AI interactions with streaming capabilities, partial results, and low-latency performance. Improve system reliability, observability, and fallback mechanisms for AI-powered features. Collaborate closely with product, backend, and machine learning teams to deliver features from concept to production. Continuously iterate and improve product functionality based on user feedback, production insights, and real-world usage. Requirements Strong experience in full stack software engineering across frontend and backend development. Solid understanding of system design, scalable architecture, and API development. Experience building AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or similar technologies. Ability to work effectively in fast-paced environments with evolving requirements. Strong ownership mindset with experience delivering features from ideation through production deployment. Excellent problem-solving skills and the ability to make pragmatic engineering decisions in ambiguous situations. Preferred Technical Skills Experience with some or all of the following technologies is preferred: Next.js Python Node.js PyTorch OpenAI, Anthropic, or open-source Large Language Models (LLMs) SQL and NoSQL databases Kubernetes Docker

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're hiring a DevRel Engineer to work inside the product teams building Vercel's agentic infrastructure: AI Gateway , Sandbox , and the primitives that come after them. You'll sit with product and engineering, build with these tools before anyone else can, and show the world what they make possible. You will report to the Head of AI Infrastructure and can be located anywhere. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday, even if the role is listed as remote. For location-specific details, please connect with our recruiting team. When applying, include a link to something you made that taught developers something, a talk, a repo, a post, a video. Applications without one will not be considered. What you'll do Build agents and applications on AI Gateway and Sandbox before they ship, then turn what you learn into demos, templates, and open source projects developers actually clone and run. Teach developers how to build with agentic infrastructure through writing, talks, videos, and live coding. You set the canonical examples the ecosystem emulates. Shape the products themselves. You sit in the same planning meetings as the PMs and engineers, and your job is to hit the rough edges first and make sure they get fixed before launch. Own the important pieces of launches: example repos, launch demos, docs contributions, and the first wave of answers when developers start asking questions. Bring the outside in: track how developers across the ecosystem are building agents, where they get stuck, and what they're reaching for that doesn't exist yet. What you need 5+ years in engineering, DevRel, or DX roles, with software you can point to. You've built and shipped AI applications or agents: you know tool calling, model routing, and sandboxed code execution from using them. Strong TypeScript, and you're at home in the Next.js and AI SDK ecosystem. You have a public body of work: talks, posts, open source, or videos. You can take a half-finished API and produce a working demo and a clear explanation in the same week, often the same day. You've changed a product roadmap with developer feedback. Bonus if you Maintain or contribute to an open source project other developers depend on. Have spun up a microVM and have opinions on why isolation matters for agents. Have shipped something real on Vercel with the AI SDK. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $168,000 - $252,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. #LI-KR1 Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - Toronto, Ontario Workplace: Remote The Company At Nylas, we specialize in making it easier for developers to add email, calendar, and contact management features into their applications. We provide APIs, which streamline the integration of these functionalities, ensuring they are secure and effective. This enables better, safer, and more reliable communication within apps. Supporting over 100,000 developers and collaborating with more than 900 companies globally, Nylas plays a pivotal role in how digital communication tools are built and utilized. Our technology spans various sectors, from healthcare to education, simplifying the complex process of app development related to communications. By reducing the barriers in communication technology, we empower developers to innovate and enhance user interaction across platforms. ABOUT THE TEAM At Nylas, we are building the infrastructure that powers modern communications. Our APIs and platform help developers integrate email, calendar, scheduling, contacts, notetakers, and agent accounts into their applications without managing the complexity underneath. The Nylas Dashboard is the control plane for that platform. It is where customers create applications, connect accounts, configure domains, manage grants, debug issues, explore product capabilities, monitor logs, and understand how their integrations are performing. As Nylas continues to evolve for an AI-native future, the Dashboard must evolve with it. We are turning it from a traditional admin surface into a fast, intuitive, intelligent product experience that helps developers ship faster, understand what is happening across their integrations, and confidently operate full-stack communication workflows. ABOUT THE ROLE We are looking for a Software Engineer to help build and modernize the Nylas Dashboard and the full-stack product surfaces that surround it. This individual will be primarily responsible for the Nylas Dashboard, but the scope extends beyond frontend pages. You will work across the stack, owning the user-facing surfaces, APIs, services, data models, product workflows, and internal platform patterns that make Nylas easier to use and easier to build on. This is a foundational role for someone who wants to shape how developers interact with Nylas in the AI era. You will help transform the Dashboard into a polished, reliable, AI-native control plane that supports core Nylas products, including Email, Calendar, Scheduler, Notetaker, Transactional Send, Inbound Email, and Agent Accounts. You will partner closely with product, design, backend engineering, platform engineering, and go-to-market teams to ship experiences that feel fast, coherent, and deeply useful to technical users. WHY THIS ROLE IS DIFFERENT This is not a narrow frontend role, and it is not limited to a single product surface. You will own critical product surfaces that every Nylas customer touches. You will help define the patterns other teams build within. You will work on the Dashboard shell, navigation, shared components, product pages, backend APIs, authorization flows, observability surfaces, onboarding experiences, and agent-powered workflows. The person in this role should be excited by the idea of making Nylas feel more modern, cohesive, fast, and AI-native. You should care about developer experience, product craft, system design, and the operational details that make complex platforms feel simple. If you want to help modernize a developer platform for the AI future we are already in, this role is for you. WHAT YOU’LL DO - Build and own core Dashboard infrastructure, including the application shell, navigation, layout patterns, shared components, and product surfaces used across Nylas. - Design and implement full-stack product experiences across frontend, backend APIs, data models, permissions, service integrations, and deployment paths. - Modernize the Nylas Dashboard into a fast, polished, cohesive control plane for developers and technical teams. - Build AI-native and agent-facing experiences that help users configure products, understand errors, debug integrations, apply best practices, and operate Nylas more effectively. - Work across Nylas product areas, including Email, Calendar, Scheduler, Notetaker, Inbound Email, Transactional Send, Domains, Logs, and Agent Accounts. - Partner with backend and platform teams to design clean APIs and service boundaries that support excellent user experiences. - Drive performance as a product feature. Profile, measure, and optimize Dashboard interactions so the product feels fast and responsive. - Create reusable abstractions and shared patterns that help other engineering teams ship product surfaces consistently. - Improve onboarding, activation, self-serve configuration, troubleshooting, and product discovery across the Dashboard. - Use AI-assisted development tools to accelerate implementation, improve quality, explore product behavior, and help define how AI fits into Nylas’ engineering workflows. - Ship incrementally and continuously, using customer feedback, product intuition, and technical judgment to improve the platform every week. - Collaborate closely with Design, Product, Customer Success, Solutions Engineering, and Developer Relations to translate customer feedback into product improvements. WHAT WE’RE LOOKING FOR - 4+ years of experience as a software engineer building user-facing products. - Strong full-stack engineering experience, especially with modern frontend development using React, TypeScript, and component-driven architecture. - Experience building backend APIs, services, data models, and integrations that power production product experiences. - A strong product mindset. You care about usability, information architecture, developer experience, performance, and the details that make software feel excellent. - Experience building products for developers, technical users, internal platforms, or complex B2B SaaS workflows. - Systems thinking. You naturally create reusable abstractions, composable components, shared patterns, and clean APIs rather than one-off solutions. - Comfort working in ambiguous product areas. You can take a rough problem statement, clarify the goal, make pragmatic tradeoffs, and turn it into shipped software. - Strong communication skills and the ability to collaborate effectively with product, design, backend engineering, platform engineering, and customer-facing teams. - A bias toward shipping. You move quickly, iterate based on feedback, and hold a high bar for quality without getting stuck in long planning cycles. - Experience using AI tools in your own development workflow, with opinions on how they should improve engineering productivity and product experiences. NICE TO HAVE - Experience working on dashboards, developer portals, control planes, admin surfaces, or platform products. - Experience with Next.js, GraphQL, REST APIs, Go, gRPC, Postgres, Redis, or cloud-native service architectures. - Experience building observability, logging, debugging, billing, authentication, authorization, or configuration surfaces. - Experience working on horizontal platform teams where other engineering teams build on top of your infrastructure. - Experience building agent-powered products, AI-assisted workflows, or LLM-powered developer tools. - Experience working with design tools such as Figma and v0. - Contributions to open source projects, especially in the React, TypeScript, frontend infrastructure, or developer tooling ecosystem.   INTERVIEW PROCESS (SUBJECT TO CHANGES) - Round 1 - The Intro: 30 minute discussion with the Hiring Manager - Round 2 - The Deep Dive: 60 minute live technical assessment - Round 3- The Loop: A series of 45-minute chats with the team (max 3 hours) where we look for the "what, why, and how" behind your best work.   During the various discussions, candidates selected to meet with us are strongly encouraged to not only discuss their knowledge, skills, experience, and abilities but also to showcase examples of their current or previous work. We expect you to clearly outline the "what," "why," and "how" behind your contributions.   Actual compensation will be determined based on individual qualifications, which are objectively assessed during the interview process. Factors influencing salary include knowledge, skills, experience, and abilities. Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Head of Professional Services, you’ll build and lead Vercel’s global professional services organization, made up of our Technical Account Management (TAM) and Forward Deployed Engineering (FDE) functions. These functions embed directly with our most strategic customers to design, build, and ship production applications on Vercel using our core platform, Next.js, and our agent stack, taking projects from first prototype through production rollout. You’ll define how this function operates: the engagement model, the delivery methodology, the commercial structure, and the team itself. You’ll partner closely with GTM and Product leadership to run a business function that turns our largest customers’ complex implementations into production deployments, drives adoption and expansion, and feeds what you learn in the field back into the product roadmap. This is a hybrid role with 3 in-office days per week in San Francisco, Austin, or New York City. What you’ll do Define the engagement model: how engagements are scoped, staffed, sequenced, and measured, and which accounts qualify for embedded support Own delivery for strategic customer engagements, from discovery and technical scoping through production deployment and stabilization Establish the commercial model for professional services, including packaging, pricing, capacity planning, and resource allocation across competing customer priorities Stay hands-on where it matters: architecture reviews, system design, and unblocking critical engagements alongside your team Codify field learnings into repeatable playbooks, reference architectures, and delivery patterns that scale beyond individual engagements What you need 10+ years in software engineering, forward deployed engineering, or technical consulting, including 5+ years leading customer-facing engineering or delivery teams in a high-growth environment Built a team, function, or service line from zero, including the hiring, methodology, and operating model Hands-on experience with modern web technologies (JavaScript/TypeScript, React, Next.js, Node.js, cloud infrastructure), with the ability to review code and whiteboard architectures credibly Built or deployed LLM-powered applications, with a working grasp of how model behavior shapes product decisions Scoped, priced, and delivered technical engagements for enterprise customers, with a command of utilization, margin, and capacity tradeoffs Bonus if you Have built with Vercel, Next.js, AI SDK, or v0 Have led forward deployed or embedded engineering teams at an AI-native or developer platform company Have owned a professional services P&L, or defined services pricing and packaging from scratch Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $300,000 - $370,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Hybrid - San Francisco, New York City, Austin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a Head of Solutions Architecture for startups, you’ll build and lead the technical sales organization behind our relationships with the startups shaping how web and AI products get built. These teams ship on Vercel’s core platform, Next.js, and our AI stack, and the decisions made in their first architecture review often determine how far they scale with us. You’ll lead a global team of Solutions Architects in our Startups sales organization, set the technical bar across the deal cycle, coach through strategic accounts and critical deals, and step in yourself when it matters most: architecture reviews, migration plans, and high-stakes presentations. You’ll turn patterns from the field into repeatable plays, carry what startups tell you back to engineering so it shows up in the product, and own org planning, staffing, budgeting, and recruiting as you scale the team this segment needs. This is a hybrid role with 3 in-office days per week in San Francisco, Austin, or New York City. What you'll do Lead, develop, and coach the global Startups Solutions Architecture team across the pre-sales cycle Provide hands-on support on key accounts: presentations, architecture reviews, and migration plans Develop repeatable plays from the trends you see across strategic accounts and critical deals Partner with Sales and Field Engineering leadership to win new business and expand accounts Own org planning, staffing, budgeting, and recruiting What you need 10+ years in Solutions Architecture, Sales Engineering, or technical pre-sales, with 5+ years in a leadership role Hands-on depth in modern web technologies and developer workflows: JavaScript, React, Next.js, Node.js, APIs, cloud infrastructure, and CI/CD Led and scaled technical teams in a high-growth environment Sold to and supported startups as customers across industries Worked across Sales, Product, and Engineering to drive customer success Bonus if you Built hands-on with Vercel, Next.js, or similar frontend frameworks Led SA teams at a high-growth developer tool or cloud infrastructure company Bring expertise in developer tooling, edge computing, or performance optimization Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA OTE pay range for this position is $382,000 - $485,000 OTE. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

RELOCATION TO UAE CoreConnect, a flagship product by VentureOne, the commercialization arm of the Advanced Technology Research Council, acts as the digital glue within the complex ecosystem of autonomous mobility in logistics. CoreConnect is building the infrastructure layer for autonomous operations in complex ecosystems. We develop a robot orchestration platform that enables logistics and other operators to deploy, manage, and scale fleets of autonomous robots across real-world environments. Our technology sits at the intersection of robotics, operations software, and intelligent automation. Role Overview We are seeking a Senior Software Engineer (Backend) who prioritizes system reliability and product impact. You will be a key contributor to CoreConnect, developing a scalable Hexagonal Backend API service that serves as the primary interface for our commercial ecosystem. We value engineers who operate with a high degree of autonomy, technical pragmatism, and a commitment to operational excellence. We are specifically looking for candidates who demonstrate ownership, pragmatism, and feel comfortable with navigating ambiguity. Key Responsibilities Core Engineering & Architecture: Design, implement, and optimize scalable Kotlin Spring Boot backend services using a Hexagonal architecture for high-performance fleet orchestration. Data & Integration Strategy: Manage complex data layers (Postgres/PostGIS, TimescaleDB) and develop a Unified Abstraction Layer to integrate diverse autonomous vehicle APIs for fleet-agnostic control. Real-time Systems & Optimization: Drive the technical roadmap for real-time data engineering, resolving bottlenecks in high-frequency data ingestion (MQTT/WebSockets) to ensure sub-second latency. Security, Scalability & Observability: Enforce standards for platform security and observability, implementing Multi-tenant Architecture (RLS) and Role-Based Access Control (RBAC). Cross-Functional Collaboration: Partner closely with Product, Engineering Leadership, and DevSecOps to build high-quality solutions that drive measurable business outcomes. Engineering Culture: Mentor engineers, lead rigorous code reviews, introduce process improvements, and foster a culture of operational excellence. Qualifications Experience & Education: Bachelor’s degree or higher in Computer Science or other relevant fields and 5+ years of professional experience with Java or Kotlin and Spring Boot delivering well-tested, complex systems in a SaaS startup environment. Architecture & Data Mastery: Deep proficiency in distributed systems, Hexagonal Architecture, and scalable API design. Expertise in SQL (PostgreSQL), geospatial data (GIS/PostGIS), and time-series data (TimescaleDB). Real-Time & Integrations: Experience architecting low-latency communication (WebSockets, MQTT) and building abstraction layers for third-party vendor APIs. Mindset & Execution: Proven ability to navigate ambiguity, balance architectural purity with commercial objectives (managing technical debt, shipping MVPs), and take full ownership of the code lifecycle and incident management (root-cause analysis and prevention). Security & Quality: A consistent focus on software quality and security best practices with hands-on experience in automated testing (unit and integration test suites), SAST, DAST, and setting up platform observability tooling. Complementary Expertise: Frontend Proficiency: Practical experience building interfaces with React or Next.js and TypeScript. Infrastructure & DevOps: Mastery of cloud environments, specifically AWS and Kubernetes (EKS), along with CI/CD pipelines and Infrastructure as Code (Terraform or Helm). Industry Experience: Direct background in logistics, robotics, or fleet management systems. Communication: Fluency in Business English is a must. What We Offer We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment. Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events. Join us to drive innovation and shape the future of technology!

Location: San Francisco Description 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 Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS 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 other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.

Location: San Francisco Description 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 Integrations team builds the systems and products that let Perplexity connect to user data and workflows across multiple verticals, turning connected data into reliable, AI-powered experiences people use every day. As an engineer on the Integrations team at Perplexity, you’ll define the technical direction of products that connect Perplexity to workflows across multiple verticals and work full-stack to build these applied AI systems. You’ll move quickly, owning outcomes end-to-end, and building useful products people reach for every day. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Eppo | AWS 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 other’s strengths, break down silos, and give selflessly to help our colleagues deliver excellence. What you'll do - Build agentic apps, features, and workflows that make Perplexity a daily driver for users. - Lead vertical-specific products and AI-powered experiences like a Personal CFO and Email Assistant, turning connected data into reliable, high-impact tools people want to use every day. - Own the data backbone of pipelines, infrastructure, and connectors that bring user and enterprise data to agents and products at a 99.9% reliability bar. - Drive end-to-end projects across the full stack, running experiments in parallel and hill-climbing on adoption, retention, and revenue. - Set technical direction, mentor engineers, and partner with AI, Design, Data Science, and Infra to ship products that don't exist anywhere else. Qualifications - 6+ years of professional software engineering experience, with a track record of rapidly shipping complex products end-to-end. - Demonstrated technical leadership: you've owned large, ambiguous projects, set direction, and driven them to clear outcomes. - Strong execution: you ship many products and experiments in parallel and drive each to a measurable result. - Strong product judgment; you translate user behavior and product opportunities into simple, effective technical solutions. - An "extra zero" mindset: you aim for outcomes that are 10x, not 10%, and own the result end-to-end. - Self-motivated with strong ownership instincts; you propose ideas, ship features ahead of schedule, and drive improvements without asking for permission. - Experience mentoring engineers and raising the technical bar of a team. - Genuine interest in and adoption of AI products and willingness to learn quickly. Nice to have - Domain expertise in verticals such as finance, healthcare, legal, or operations. - Experience building agentic product surfaces. - Time at a fast-growing startup or high-ownership engineering team.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role The CDN Content team is responsible for serving all content that flows through Vercel's global CDN — static assets, optimized images, incrementally regenerated pages, partially prerendered shells, and everything in between — to billions of requests for millions of developers. Our focus is performance: ensuring content is served globally as fast as possible. Caching plays a big role in making that happen, and the team operates a multi-tier caching architecture spanning in-process caches, regional cache services, and object storage across 20+ regions. As a Software Engineer on the team, you'll take on well-scoped projects with real production impact and grow into owning larger pieces of the system. The work spans the serving path end to end, and everything ships through careful, progressive rollouts validated with production data. You'll learn how a planet-scale CDN works from engineers who built it. This is a team where infrastructure meets product: we work in close partnership with frameworks such as Next.js, bringing framework-defined infrastructure to life on Vercel's CDN, and the serving and caching behavior we ship directly shapes the performance and cost that millions of developers see. You'll develop strong instincts for distributed systems, careful production rollouts, and data-driven engineering. If you're based within a pre-determined commuting distance of one of our offices (SF or NY), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What you'll do Build and improve the services behind ISR, PPR, and image optimization — working in Go, Lua, and TypeScript across the serving path. Execute well-defined projects independently, from implementation through safe rollout (feature flags, shadow modes, progressive deployment) and post-ship validation. Monitor and maintain your work in production: build dashboards, add metrics and alerts, and develop ownership of what you ship. Contribute to the team's observability and testing surface — the dashboards, log views, and e2e test suites that keep a high-change system trustworthy. Participate in the on-call rotation with support from senior engineers, and contribute to incident follow-ups that make the system more resilient. Collaborate with teammates and partner teams (Next.js, CI/CD) through design discussions, code review, and pairing. What you need 2+ years of experience building and operating backend services in production. Proficiency in at least one of Go, TypeScript/Node.js, or a comparable systems language, and enthusiasm for working across a polyglot stack. Solid understanding of HTTP and web fundamentals — caching headers, request/response lifecycle, what a proxy does. You write code you're willing to operate: tested, instrumented, and documented. Curious about how large-scale systems work, and motivated to dig into unfamiliar code and production data to figure things out. A collaborative teammate who communicates clearly, asks good questions, and follows through reliably. Bonus if you Have experience with caching systems (CDNs, Redis/Memcached, application-level caches) at any scale. Have AWS experience, particularly S3 or ElastiCache. Have used Next.js or another modern web framework and understand rendering modes like SSR/SSG/ISR. Have experience with observability tooling (Datadog, Honeycomb, or similar). Have experience with Terraform or Kubernetes. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $172,000 - $258,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Задачи: — Развивать внутренний AI-сервис для автоматизации ad-hoc запросов бизнеса, аналитиков и дата-инженеров — Проектировать и реализовывать AI-агентов, workflows и сценарии text2sql, retrieval, explanation и генерации готовых результатов — Подготавливать и улучшать данные для агентов: витрины, описания таблиц и полей, join-логику и бизнес-правила — Реализовывать сценарии сборки отчетов, прогнозов, сверки данных, сценарного планирования и выявления отклонений в воронке продаж — Развивать функциональность генерации графиков, таблиц, Excel-выгрузок, слайдов и других пользовательских артефактов — Улучшать качество ответов агентов, тестировать решение на реальных кейсах и внедрять улучшения по данным, промптам и логике workflows Требования: — Опыт работы от 4+ лет — Уверенный Python и SQL — Опыт работы с аналитическими БД, желательно ClickHouse и PostgreSQL — Практический опыт создания AI-агентов и LLM workflows, включая prompt engineering, function calling, structured output и reasoning — Опыт подготовки данных для AI-сервисов: витрины, метаданные, справочники и правила работы с таблицами — Понимание требований production-сервиса: API, авторизация, логирование, обработка ошибок и безопасность — Опыт интеграции AI-решений с внутренними и внешними источниками данных — Плюсом: опыт с Yandex AI Studio, open-source моделями и Next.js Условия: — Формат работы: удаленно — Занятость: полная, full-time — Трудоустройство: ТК/ИП — Вилка зарплаты: от 250 000 до 290 000 ₽ в месяц

Location: San Francisco, United States Founding Design Engineer Location: San Francisco, CA (On-site, 5 days/week) Compensation: $150,000–$250,000 Base + Equity (0.4–0.8%) About the Opportunity An early-stage, venture-backed AI startup is seeking a Founding Design Engineer to become its first design-focused engineering hire. This is a unique opportunity to own the end-to-end user experience for a highly technical AI platform, defining the product's design language while building production-ready frontend applications. Working directly with the founding team, you'll help shape the future of an AI-native enterprise platform by combining exceptional product design with hands-on frontend engineering. What You'll Do Own product design and frontend implementation from concept to production. Design and build production-ready interfaces using React and TypeScript . Establish the company's design language, design system, and UX patterns. Collaborate closely with founders to build intuitive experiences for complex technical workflows. Design for enterprise B2B software, platform products, and AI-powered user experiences. What We're Looking For 1 -​ 5 years of experience in design,​ recent experience shipping frontend code in React/TypeScript Experience at a venture-​backed early-​stage startup or fast-​paced high-​growth company Has a self-​driven project with real users (portfolio,​ side project,​ or startup) Experience at an early-stage startup or other fast-paced environment. Experience designing technical products such as developer tools, enterprise SaaS, infrastructure, platform software, or AI products. Self-starter who thrives in an ownership-driven environment with minimal direction. Design/Arts/CS degree Skills Tech stack React, TypeScript, Figma, Tailwind CSS PLUS Next.js Figma Experience with design systems and component libraries. Familiarity with AI, agentic workflows, or Human-Computer Interaction (HCI) principles. Visa Sponsorship The company can support: H-1B transfers O-1 visas TN visas J-1 visas Please note that new H-1B sponsorship is not available. Why Join? Be the first Design Engineer and help define the product from the ground up. Own both design and implementation without traditional design handoffs. Work directly with an experienced founding team in a collaborative, high-impact environment. Receive competitive compensation and meaningful equity while helping build a category-defining AI product. Salary: $150 – $250 / year

Задачи: — Разработка и поддержка одностраничных приложений (SPA) с использованием React (версии 18/19) и TypeScript. — Создание масштабируемых и переиспользуемых UI-компонентов с управлением состоянием (MobX, Redux, Zustand, Context API). — Интеграция с RESTful API, оптимизация производительности приложений, рендеринга и размера бандла. — Обеспечение адаптивного дизайна, доступности (WCAG, ARIA) и кроссбраузерной совместимости. — Написание тестов с использованием Jest и React Testing Library, настройка CI/CD пайплайнов. — Взаимодействие с командами backend, дизайна и QA, участие в код-ревью. Требования: — Опыт коммерческой разработки с React не менее 3 лет. — Глубокие знания TypeScript и современного JavaScript (ES6+). — Понимание React: хуки, функциональные компоненты, кастомные хуки, порталы. — Практический опыт работы с управлением состоянием (MobX, Redux, Zustand или Context API). — Знание HTML5, CSS3 и современных технологий стилизации (Tailwind CSS, SCSS/SASS, CSS Modules). — Опыт интеграции с REST API (Axios, Fetch) и обработки ошибок. — Знакомство с инструментами сборки React (Vite, Webpack), Git и основами CI/CD. — Опыт работы с UI-библиотеками (MUI, Ant Design, Chakra UI) и тестовыми фреймворками. — Понимание вопросов безопасности фронтенда (XSS, CSP) и контейнеризированного деплоя (Docker). — Хорошие навыки решения проблем и внимание к UI/UX. — Владение английским языком на уровне B2 и выше (письменно и устно). Желательно: — Опыт с Next.js (SSR/SSG), React Server Components или React Native. — Знание GraphQL (Apollo Client), WebSocket или архитектуры FSD. — Знакомство с инструментами монорепозиториев (Nx, Turborepo), Storybook или PWA. — Знание backend-технологий (Node.js, NestJS) для полного стека. — Опыт с end-to-end тестированием (Cypress, Playwright). — Участие в open-source проектах. Локация: удалённо, по всему миру. Ограничения: кандидаты из Египта, Индии, Пакистана, Армении и Афганистана не рассматриваются. Формат работы: полный рабочий день, аутсорс, аутстафф.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 THE MISSION The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.   As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. WHAT YOU'LL OWN MCP SERVER PLATFORM   - Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack - Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch - Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable - Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server   AGENT ORCHESTRATION & AI-NATIVE PRODUCTS   - Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more - Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable - Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations - Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction   GTM PLATFORM ENGINEERING   - Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling - Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context - Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns - Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage   AI-NATIVE DEVELOPMENT PRACTICE   - Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight - Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds - Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience with production systems - Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code - Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling - Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch - Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users - Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management - Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness - Clear written communication: design docs, ADRs, and runbooks that others actually read - Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick STRONGLY PREFERRED - Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments - GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work - Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage - React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs - Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns - Experience in a GTM Systems, RevOps, or Sales Engineering context - Okta / identity provider integration work (PKCE flows, SCIM, token management) HOW WE OPERATE The Foundry runs on three principles that every team member is expected to embody:   - Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off. - Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality. - Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work. WHO THRIVES HERE This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.   This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.