Software Engineer, Early Career

Notion

WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE As an engineer at Notion, you’ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work. We're looking for an Early Career AI Engineer to join as a strategic partner in shaping Notion's AI vision. You'll work on cutting-edge AI-powered features, leveraging LLMs, embeddings, and other AI technologies to make Notion more intelligent and capable. This role may be aligned to one of multiple AI-focused teams at Notion. Depending on team match and business needs, you could work on: * AI product engineering: building model-powered features end-to-end (UX, APIs, retrieval, orchestration, quality, and reliability) * Model & systems engineering: improving model integration and performance (latency, cost, safety, robustness) and building the infrastructure that supports model serving and experimentation * Evaluation & quality (evals): creating evaluation frameworks and automated/ human-in-the-loop testing to measure and improve model and product quality WHAT YOU’LL ACHIEVE * Partner with your team to prototype and ship an AI-powered product improvement * Own a scoped productionization project: integrate a new model/technique into an existing workflow, add monitoring + guardrails, or improve latency/cost/reliability. * Contribute to evals and iteration loops: build or extend an evaluation set, run experiments, analyze results, and translate learnings into product or system changes. SKILLS YOU'LL NEED TO BRING * You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems. * Expertise building and prototyping: You’re excited to build and iterate quickly, and you’ve started exploring AI/ML through coursework, projects, internships, or hackathons. You’re comfortable learning how different parts of a product fit together (UI, APIs, data), have some familiarity with relational databases like Postgres or MySQL, and can take an idea from prototype to a working feature with guidance. * Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you’re building. * Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business. * Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems. NICE TO HAVES * You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. * You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. * You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco and New York, the estimated base salary range for this role is $130,000-$150,000. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy. #LI-Onsite   A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Airtable

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for backend engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow. We currently have openings on: * Asynchronous Serving: The Asynchronous Serving team is scaling critical systems used by Airtable’s most essential and up-and-coming product features, especially AI features. Upcoming projects include refactoring our background task queue to track its tasks in DynamoDB, adding quality of service to the job queue, and revamping a streaming service to handle 10x scale while being more resilient. * Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as * * Overhauling our network stack and service discovery, to simplify service setup and strengthen security * Region level disaster recovery, and bringing up compute platform from 0->1 in a new region * Building custom Kubernetes operators for reliably managing some of our most critical workloads * Traffic: We are looking for founding members of our Traffic Engineering team. We recently formed a Traffic Infrastructure team to ensure that traffic across Airtable’s network and routing infrastructure is managed in a reliable, flexible, and secure manner. Some the upcoming work in this team's charter include supporting improved performance in our secondary regions (like EU), bolstering our rate limiting and admission control infrastructure, and creating a consolidated and unified stateless route execution platform. We are looking for software engineers experienced in areas of API gateway (Envoy/Nginx/Pingora), edge networking like CDN/WAF, and stateless request serving platforms. Please note: while we employ a hybrid working model at Airtable (flexible in working from the office or elsewhere), we are only hiring in the following locations at this time: * Based in the San Francisco Bay Area and are open to coming into our office (Embarcadero) at least ~2-3 times/week for team collaboration * Based in New York City and are open to coming into our office (Soho) at least ~2-3 times/week for team collaboration * Based remotely in the greater Seattle area WHAT YOU'LL DO * Proactively identify and lead significant improvements to Airtable’s infrastructure, working across teams and product areas to maximize business and engineering impact. * Work on systems-level problems in a complex design space where scalability, efficiency, reliability, and security really matter. * Build clean, reusable, and maintainable abstractions that will be used by Airtable’s engineers for years to come. * Take full ownership of components of Airtable’s infrastructure, including responsibility for reliability, performance, efficiency, and observability of our production environment. WHO YOU ARE * You have at least 8 years of industry experience, and are excited about learning new technologies and applying them in a fast-changing environment. Please note this is not an early career position. * You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure. * You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand. * You have a strong background in computer science with a degree in CS or a related field. * You are currently based or willing to relocate to the San Francisco Bay Area or New York City for this role. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.  VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. ---------------------------------------------------------------------------------------------------------------------------------- Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable. For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $196,000—$339,900 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here. For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

Metaview

Coding was first. Recruiting is next — and we're building it. We are an applied AI lab building end-to-end recruiting agents that feel like coworkers. Metaview helps organizations hire with radically more speed and precision. We automate toil and augment humans for teams like Brex, Affirm, Deel, ElevenLabs, and Airtable. Founded by Siadhal Magos and Shahriar Tajbakhsh, who scaled Uber and Palantir, we have raised over $50M from top-tier investors. We are growing 5x year over year, our customers are raving fans of the product, and our story has been covered in Fortune, Forbes, TechCrunch, and The Times. Now is the time to re-engineer how work gets done with AI at the core, and our toughest challenges still lie ahead. We are looking for people seeking the hardest, most fulfilling work of their lives. We have one value: velocity. Not motion for its own sake, but real progress. We ship every day, ship on Fridays, and skip the tickets, roadmaps, and design-doc theater. We barely write code by hand anymore: every engineer orchestrates a stack of agents, and we ship 8x what we did a year ago with the same small team. Process stays light, standards stay high, and feedback loops stay short. What you'll build Day to day, you'll work on: * new product experiences across the hiring workflow * systems that turn conversational signal into structured actions and insights * AI-assisted features that need to feel useful, transparent, and well-integrated into the product * improvements to quality, speed, and reliability across both user-facing and agent-facing parts of the product * product problems that cut across engineering, design, product, and go-to-market context What you'll own In your first 3-6 months, you should: * own and ship meaningful product areas from problem definition through rollout * help shape how Metaview's AI products behave in real customer workflows * identify and drive improvements that make the product faster, clearer, and more valuable * contribute to the engineering bar across craft, execution, and product judgment What we're after We're hiring across all levels, but we are excited by people who: * have shipped product in fast-moving software environments * are comfortable working across the stack, or moving outside their default lane when needed * care deeply about users and can translate messy problems into clear product decisions * combine technical strength with product sense and good judgment * like ownership, ambiguity, and close collaboration across functions * want to help build a category-defining product while the shape of the company is still being formed What you bring Helpful signals include experience with: * shipping products, workflow software, or AI-enabled products * systems where frontend and backend decisions meaningfully shape each other * building products used in consequential or trust-sensitive moments * startup or scale-up environments where iteration speed and ownership are both high What you want to know * A small, sharp, in-person team in San Francisco. Best ideas win on merit, not ceremony. Want to know what it's actually like? Read our unfiltered Slack at metaview.ai/careers#slackbook. * We pay in the top 10% of the SF market — salary and meaningful equity. Our process is fast and direct. It's not unusual to hear back the same day. * We operate with a simplified leveling, early-career, mid-career, and staff and above. Your level sets your comp. No back-and-forth, no games. We track the market closely and adjust when it tells us to. Market refreshers, twice a year. We re-benchmark against the market two times a year and move comp up when it drifts — so "top 10%" stays true, not just true on your start date. * Promotions and raises on a real cycle. We review level and scope roughly every six months. When your responsibilities grow, your comp follows. It's tied to a real change in the work rather than an automatic bump. * Equity that's genuinely competitive. World-class equity option grants so we’re all owners. We keep the structure simple: cash and equity. * Visa sponsorship and immigration support. We sponsor work visas and handle the process with you, start to finish. * Health, fully covered (US). 100% of medical, dental, and vision premiums — for you and your dependents. * Time off, unlimited. You should feel empowered to take as much time off as you need.