early software engineer Jobs in San Francisco

early software engineer

software engineer (backend) Jobs in San Francisco

software engineer (backend)

software engineer (intern) Jobs in San Francisco

software engineer (intern)

software engineer - backend Jobs in San Francisco

software engineer - backend

software engineer - mobile (backend) Jobs in San Francisco

software engineer - mobile (backend)

software engineer developer

Naptha AI

<div>
 
 Software Engineer (Intern) | naptha.ai
 
 
 
 
 About This Role
 
 
 
 We are seeking exceptional Software Engineering interns to join Naptha AI and contribute to building the future of AI agent infrastructure. This internship offers hands-on experience working with frontier AI technology, backed by industry veterans and technical leaders through NVIDIA Inception, Google for Startups, and Microsoft for Startups.
 
 
 We're building the foundational infrastructure for the next wave of AI companies, enabling frontier AI developers to build products powered by enormous networks of highly capable next-generation AI agents. As an Engineering Intern, you'll work directly with our technical team on real projects that impact our core platform.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Build and improve components of our agent infrastructure
 </li>
 <li>
 Work on real features that ship to production
 </li>
 <li>
 Collaborate with experienced engineers and researchers
 </li>
 <li>
 Learn about large-scale AI systems and infrastructure
 </li>
 <li>
 Contribute to our agent development platform
 </li>
 <li>
 Gain experience with cutting-edge AI tools and frameworks
 
 
 </li>
 </ul>
 Technical Areas
 
 
 <ul>
 <li>
 Backend development with Python and modern frameworks
 </li>
 <li>
 Agent system implementation and testing
 </li>
 <li>
 API development and integration
 </li>
 <li>
 Performance optimization and monitoring
 </li>
 <li>
 Infrastructure and tooling development
 </li>
 <li>
 Testing and deployment automation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Currently pursuing BS/MS in Computer Science or related field
 </li>
 <li>
 Strong programming skills, particularly in Python
 </li>
 <li>
 Basic understanding of AI/ML concepts
 </li>
 <li>
 Experience with software development practices
 </li>
 <li>
 Ability to work independently and learn quickly
 </li>
 <li>
 Strong problem-solving abilities
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with AI frameworks or tools
 </li>
 <li>
 Familiarity with distributed systems
 </li>
 <li>
 Open source contributions
 </li>
 <li>
 Experience with developer tools
 </li>
 <li>
 Interest in AI infrastructure
 
 
 </li>
 </ul>
 
 About The Internship
 
 
 
 <ul>
 <li>
 Duration: 12-16 weeks
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 Real-world project ownership
 </li>
 <li>
 Mentorship from experienced engineers
 </li>
 <li>
 Opportunity for return offers
 
 
 </li>
 </ul>
 This internship offers a unique opportunity to work on cutting-edge AI infrastructure while learning from experienced technical leaders. You'll gain practical experience building systems that power the next generation of AI applications.
 
 
</div>

Software Engineer (Intern)

MLabs

<div>
 
 Software Engineer (New Grad - Construction Tech Platform)
 
 
 
 
 Company:
 
 Agave (YC W22)
 
 
 
 Location:
 
 San Francisco, CA (FiDi)
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Work Arrangement:
 
 On-site 5 days a week
 
 
 
 About The Role
 
 
 
 Our client is a well-funded, profitable YC-backed startup (YC W22) modernizing the
 
 $12 trillion global construction industry
 
 . They solve a massive problem: connecting fragmented, siloed software systems&mdash;many of which are 20-40 years old, on-prem, and lack modern APIs. They build proprietary APIs to connect these systems and wrap them in a modern UI to automate critical work, like syncing financial data between job sites and accounting offices. The company has over
 
 200 paying customers
 
 , is
 
 cash-flow positive
 
 , and is backed by investors like
 
 Accel
 
 and leaders from Procore and Autodesk.
 
 
 They are seeking a
 
 world-class New Grad Software Engineer
 
 who loves
 
 simplifying complex systems, unifying fragmented data, and building high-scale backend systems
 
 . This role offers high ownership and the chance to work on unique technical challenges that exist at the intersection of old-school enterprise and modern cloud infrastructure.
 
 
 
 What You'll Be Doing (Interesting Technical Challenges)
 
 
 
 Your core work will be split between backend and full-stack development, with a focus on core infrastructure:
 
 
 <ul>
 <li>
 Unification: Unifying dozens to hundreds of fragmented, heterogeneous systems under a single, generic API standard defined by the company (covering data models, authentication, and features like filtering)
 </li>
 <li>
 On-Prem Connectivity: Connecting with many types of legacy on-prem systems (SQL-based, DLL-based, API-based) and innovating to provide secure, real-time communication and webhooks where they don't natively exist
 </li>
 <li>
 Scale &amp; Speed: Handling millions of API requests per day and building elegant caching layers to efficiently store and retrieve large amounts of data, reducing latency
 </li>
 <li>
 Operational Excellence: Creating a reliable, SLA-enforced API layer on top of old, unreliable systems ("building a skyscraper on quicksand"). This involves building creative, scalable testing frameworks to catch edge cases across 1,000+ endpoints
 </li>
 <li>
 Full-Stack Development: Building internal front-end applications (Sync, Analytics) that "dog-food" their own APIs, ensuring the APIs are world-class
 </li>
 <li>
 Variety: Each new integration presents a unique "archaeological" and engineering challenge, requiring deep research into its specific nuances
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 0-1 years of experience as a backend or full-stack software engineer (New Grad level)
 </li>
 <li>
 Must be able to work independently without much guidance
 </li>
 <li>
 Loves simplifying complex systems and unifying fragmented data
 </li>
 <li>
 Must be willing to work in-person 5 days/week in San Francisco
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary: $130K - $240K
 </li>
 <li>
 Equity: 0.05% - 0.20%
 </li>
 <li>
 Visa Sponsorship: Available (TN, OPT, H1B Transfer) for US and CAN candidates
 </li>
 <li>
 Benefits include: 90% healthcare coverage, 401k match (up to 4%), sizable relocation bonus, on-site gym, and daily DoorDash stipend for dinner
 
 
 </li>
 </ul>
 
 Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.
 
 
 
 
 Commitment to Equality and Accessibility:
 
 
 
 At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.
 
 
 MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.
</div>

Software Engineer

TechTree

<div>
 
 About The Company
 
 
 
 Delve automates compliance for hundreds of fast-growing startups &mdash; companies like Lovable, 11x, and Wispr Flow rely on Delve to eliminate busywork and ship securely. Backed by Insight Partners, General Catalyst, and Y Combinator, Delve recently raised a $32M Series A and is rapidly scaling its engineering team. Our founders and engineers come from OpenAI, Stanford, MIT, and Berkeley, united by the goal of automating tedious work at scale.
 
 
 
 About The Role
 
 
 
 Seeking a New Grad/Early Software Engineer to ship features, contribute to AI systems, and work across the stack with mentorship from senior engineers. Must relocate to SF and work in-person.
 
 
 We&rsquo;re looking for a New Grad/Early Software Engineer &mdash; someone technically sharp, hungry, and ready to learn fast. You&rsquo;ll ship production-grade features alongside senior engineers, contribute to AI-powered systems, and work across the stack (React, TypeScript, Node.js).
 
 
 Expect autonomy, live mentorship from ex-OpenAI engineers, and the chance to build impactful products from day one.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Ship features across the stack with mentorship from senior engineers
 </li>
 <li>
 Contribute to AI-driven product features in production
 </li>
 <li>
 Rapidly prototype ideas, test with users, and iterate fast
 </li>
 <li>
 Write clean, maintainable code and own small projects end-to-end
 </li>
 <li>
 Work in-person daily with a high-context, fast-moving team
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s in CS or related field from Stanford, MIT, Berkeley, Harvard, or Northeastern
 </li>
 <li>
 Strong coding skills in Python or TypeScript
 </li>
 <li>
 Evidence of independent projects, hackathon wins, or open-source contributions
 </li>
 <li>
 SF-based or willing to relocate (in-person, 5 days/week)
 </li>
 <li>
 Green-carpet GitHub candidates / &ldquo;cracked&rdquo; engineers
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript
 </li>
 <li>
 React
 </li>
 <li>
 Node.js
 </li>
 <li>
 AI-driven product development
 </li>
 <li>
 Prototyping
 </li>
 <li>
 Clean code writing
 </li>
 <li>
 Project ownership
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 100% medical, dental &amp; vision coverage (for you; partial for dependents)
 </li>
 <li>
 401(k) with employer match
 </li>
 <li>
 Unlimited PTO + federal holidays
 </li>
 <li>
 GrubHub stipend + all meals covered in-office
 </li>
 <li>
 Gym membership covered
 </li>
 <li>
 Frequent team dinners, events, and off-sites
 </li>
 <li>
 The opportunity to eliminate busywork for humanity
 
 
 </li>
 </ul>
 
 Team members
 
 
 
 <ul>
 <li>
 founders and engineers from OpenAI, Stanford, MIT, and Berkeley
 
 
 </li>
 </ul>
 
 Salary:
 
 150000 - 250000 None
</div>

Early Software Engineer

Lyft

<div>
 At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
 
 
 Lyft is looking for software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our passengers and drivers.
 
 
 The Rider organization is focused on building a seamless, best-in-class rideshare experience for riders. From the foundational functionality of requesting a ride to the tailored interactions with your flight, we sweat the small stuff to help make Lyft the best transportation solution. As an Backend Engineer on the Rider Team, you will work hand in hand with various teams across Lyft, fostering collaboration, and driving innovation to improve riders' experience with rideshare.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Write well-crafted, well-tested, readable, maintainable code
 </li>
 <li>
 Participate in code reviews to ensure code quality and distribute knowledge
 </li>
 <li>
 Participate in our team's on-call rotation. Identify, triage, debug and resolve issues/bugs across our various applications and platforms
 </li>
 <li>
 Have the ability to explain the various trade offs made in decisions
 </li>
 <li>
 Manage project priorities, deadlines, and deliverables.
 
 
 </li>
 </ul>
 Experience:
 
 
 <ul>
 <li>
 BS/MS or equivalent in Computer Engineering, Computer Science, or related field or equivalent practical experience
 </li>
 <li>
 Experience with Python
 </li>
 <li>
 Proficiency in object-oriented programming
 </li>
 <li>
 Experience working with data structures or algorithms
 </li>
 <li>
 Ability to work with a low-ego, highly collaborative, and cross-functional team
 </li>
 <li>
 Bonus points: experience pursuing side projects or open-source projects
 
 
 </li>
 </ul>
 
 Benefits:
 
 
 
 <ul>
 <li>
 Great medical, dental, and vision insurance options with additional programs available when enrolled
 </li>
 <li>
 Mental health benefits
 </li>
 <li>
 Family building benefits
 </li>
 <li>
 Child care and pet benefits
 </li>
 <li>
 401(k) plan to help save for your future
 </li>
 <li>
 In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
 </li>
 <li>
 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
 </li>
 <li>
 Subsidized commuter benefits
 </li>
 <li>
 Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
 
 
 </li>
 </ul>
 Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.
 
 
 Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
 
 
 The expected base pay range for this position in the San Francisco area is $108,000 - $135,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
 
 
 Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
</div>

Software Engineer, Rider

Fractional AI

<div>
 
 About Fractional AI
 
 
 
 Fractional AI builds bespoke gen AI software to transform businesses.
 
 
 Every C-suite in the country is trying to bridge the gap between AI in theory and AI in practice. We close this gap with exceptional engineering talent and custom end-to-end AI builds (see some of our case studies to learn more).
 
 
 By joining Fractional AI, you&rsquo;re stepping onto a San Francisco, NYC, and Dubai-based team working on gen AI projects for top companies from the comfort of an engineering-first startup.
 
 
 
 About The Role
 
 
 
 Joining Fractional AI as a Software Engineer, you&rsquo;ll play a leading role in building and shipping AI applications for our customers - from understanding customer needs to deploying solutions in their environments - all while shaping our engineering and broader Fractional culture for the next 100+ engineers.
 
 
 By the time you&rsquo;ve completed your second project, you&rsquo;ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.
 
 
 
 What you bring to the table:
 
 
 
 <ul>
 <li>
 You write exceptional code + deeply care about the craft of coding (5+ years of experience): you build elegant, production-ready code; you have strong proficiency across multiple programming languages
 </li>
 <li>
 You are excited about AI: you have some demonstrated interest in AI - Whether you've experimented with LangChain, built an LLM-based side project, or simply have become a ChatGPT power user
 </li>
 <li>
 You love solving hard, new problems: you are comfortable self-teaching, asking &ldquo;why?,&rdquo; and experimenting to solve problems you haven&rsquo;t seen before
 </li>
 <li>
 You are &lsquo;start-up ready&rsquo;: you jump in without instruction, embrace a &lsquo;no job too big, no job too small&rsquo; mindset, and want to shape strategy and culture
 </li>
 <li>
 You are comfortable talking with users: you deeply care about the user and skillfully navigate user conversations to ensure what we&rsquo;re building meets their needs
 </li>
 <li>
 You are a great teammate: you are comfortable helping others (and asking for help), you champion integrity in everything, and want to build a one-in-a-career culture of personal growth
 
 
 </li>
 </ul>
 
 What you'll do:
 
 
 
 <ul>
 <li>
 Design and develop custom AI solutions tailored to the unique needs of our customers, ensuring seamless integration and scalability
 </li>
 <li>
 Partner with a high-caliber team across the full project lifestyle, from requirements gathering, to prototyping, system design, coding, testing, deployment, and support
 </li>
 <li>
 Actively shape our engineering and broader company culture - from how we learn, to how we hire, to how we celebrate - you&rsquo;ll shape how we make Fractional a place we all love working
 
 
 </li>
 </ul>
 
 Our tech stack:
 
 
 
 <ul>
 <li>
 We&rsquo;re generally tech stack agnostic - we work in our customers&rsquo; environments and code bases. A lot, but definitely not all, of our work is in python.
 </li>
 <li>
 After working at Fractional AI for a few years, you&rsquo;ll be an expert at using the various foundational models, building with tools like Langchain/Langsmith, and various other tools and frameworks (e.g., OpenPipe, Pinecone, ChromaDB).
 
 
 </li>
 </ul>
 
 A day in the life:
 
 
 
 <ul>
 <li>
 You&rsquo;re the tech lead for one of our customer projects - it may be automating a call center with AI phone agents or building an AI content moderation system &ndash; each project is different
 </li>
 <li>
 You&rsquo;ll dive into one of the higher priority items for the morning (say building out an evals suite). You have a weekly standup with the customer (the CTO at the client) to chat through tradeoffs, progress, and timeline.
 </li>
 <li>
 You join team lunch (which doubles as the Fractional AI cross-project standup) to hear about different projects we&rsquo;re working on &hellip; the lunch will turn into a lively debate about Weights and Biases v. Braintrust capabilities.
 </li>
 <li>
 You&rsquo;ll have some solo heads down time to continuing jamming on the high priority pieces for that 2-week sprint.
 </li>
 <li>
 Maybe you join a prospective customer call to share your perspective on what&rsquo;s technically feasible on that potential project.
 
 
 </li>
 </ul>
 
 Who you'll work with:
 
 
 
 <ul>
 <li>
 This role will collaborate closely with Eddie, our Co-Founder and CTO.
 </li>
 <li>
 You&rsquo;ll work very closely with other engineers on the team -- the vast majority of our projects have multiple Fractional AI engineers working on them at once.
 </li>
 <li>
 You&rsquo;ll also spend a lot of time partnering with our CEO, Chris, and Chairman, Travis.
 
 
 </li>
 </ul>
 
 Why you should (and shouldn&rsquo;t) join us
 
 
 
 We&rsquo;re big believers in transparency and know joining a company is a big decision. We&rsquo;re not the best fit for everyone and try to be clear on what we are and what we&rsquo;re not so you make the choice that&rsquo;s right for you.
 
 
 Why join Fractional?
 
 
 <ul>
 <li>
 Build on the forefront of applied AI: You&rsquo;ll have a front row seat to how the world&rsquo;s leading companies are actually deploying AI solutions. By the time you&rsquo;ve completed your second project, you&rsquo;ll have shipped LLM applications across more companies and use cases than the vast majority of AI engineers in the world.
 </li>
 <li>
 Solve big, real problems: Companies come to us when they can&rsquo;t solve some of their biggest problems themselves. For you, that means learning everyday, never getting bored, and working across a range of industries, customers, and products.
 </li>
 <li>
 Learn with and from the best in person: We're a team of senior engineers (some former founders, some former engineering leaders) who only want to work on high-impact projects. Working elbow to elbow in our San Francisco, NYC, or Dubai office means things like team lunches, quick brainstorming, and the right amount of banter.
 
 
 </li>
 </ul>
 Why shouldn't you join Fractional?
 
 
 <ul>
 <li>
 Preference for just speed or quality: We love hacking things together for a proof of concept but ultimately our code will be put into production in our customers&rsquo; environments - you need to enjoy balancing elegance and expediency.
 </li>
 <li>
 Predictability is important to you: You&rsquo;ll be working across customers, programming languages, industries and projects, which means you won&rsquo;t be becoming an expert in the same product suite or serving the same user day after day.
 </li>
 <li>
 Customers aren&rsquo;t your thing: You&rsquo;ll spend most of your time coding but will be closer to the customer than in most engineering roles. You&rsquo;ll frequently interact with engineers from the customer&rsquo;s team to ask questions and problem solve. A deep understanding and appreciation of the customer is crucial.
 
 
 </li>
 </ul>
 
 Our Values
 
 
 
 Overdeliver.
 
 
 Overuse AI.
 
 
 Over "engineer" the culture.
 
 
 
 Location
 
 
 
 San Francisco, CA (4 days in-person, Fridays remote)
 
 
 New York, NY (4 days in-person, Fridays remote)
 
 
 Dubai, UAE (4 days in-person, Fridays remote)
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 🏦 Competitive Compensation Package: Attractive salary aligned with your experience and skills.
 </li>
 <li>
 📈 401k with Matching: Invest in your future with our company-matched retirement plan.
 </li>
 <li>
 🌴 Unlimited PTO: Take the time you need to relax and rejuvenate.
 </li>
 <li>
 🏥 Exceptional Medical, Dental, and Vision Coverage: Comprehensive health benefits to keep you and your family healthy.
 </li>
 <li>
 🚑 Health FSA: Manage out-of-pocket health expenses effectively.
 </li>
 <li>
 🚌 Commuter Benefits: Make your travel to work easier and more affordable.
 </li>
 <li>
 🏥 Life Insurance: Providing peace of mind for you and your loved ones.
 </li>
 <li>
 🎉 Team Events and Activities: Regular events to build camaraderie and a strong team spirit.
 
 
 </li>
 </ul>
 
 Ready to join us?
 
 
 
</div>

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 We're looking for an AI Product Engineer to join the team responsible for Notion's database block&mdash; which powers views like tables, galleries, charts, forms, and more. As a strategic partner in shaping Notion's AI vision, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's databases more intelligent and capable.
 
 
 
 What You&rsquo;ll Achieve
 
 
 
 <ul>
 <li>
 Work with the team to prototype and experiment with new AI features
 </li>
 <li>
 Productionize and launch new AI technology integrations into Notion&rsquo;s core product
 </li>
 <li>
 Collaborate with cross-functional teams to deliver product features on time
 </li>
 <li>
 Stay up-to-date with the latest AI technologies and trends
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Expertise building and prototyping: You have experience building AI products using LLMs, embeddings and other ML technologies. You understand how parts of a system fit together from UI to data model, are familiar with relational databases like Postgres or MySQL, and have experience building products from ground up.
 </li>
 <li>
 Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
 </li>
 <li>
 Problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
 </li>
 <li>
 Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact&mdash;good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
 </li>
 <li>
 You have experience driving teams toward shared goals and can balance business priorities with individuals&rsquo; strengths, areas of interest, and career development goals.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 </li>
 <li>
 You have interests outside of technology, such as in art, history, or social sciences.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 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.
 
 
 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&rsquo;s scope and complexity, and the candidate&rsquo;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 $190,000 - $285,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Software Engineer, AI Product

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 Millions of people use Notion &mdash; and this number is increasing every day. That means millions of people trust us to deliver a fast, reliable, and secure experience, and we value this more than anything. We want to keep earning trust, while also continuing to amaze our users with the tools they can build in Notion.
 
 
 The Data Product Platform team is responsible for designing, implementing, scaling and operating systems, tools and frameworks to build data powered product experiences and to enable data driven decisions. You&rsquo;ll join a team of talented engineers in our mission to build the best in class foundational data capabilities that are key to the company&rsquo;s business and product. Notion&rsquo;s data platform and infrastructure are vital to both empowering every team at Notion to make decisions using data and experimentation, and enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 You'll own and play a pivotal role in the development of systems, tools and infrastructure that democratize data access and enable analytics capabilities across the organization.
 </li>
 <li>
 You'll work cross-functionally with engineers and partners from the Product, Data Science, Data Engineering and AI teams to deliver short- and long-term impact.
 </li>
 <li>
 You&rsquo;ll work on all levels of the stack including infrastructure, libraries and product code as needed to successfully build and deliver internal platforms that provide high leverage to multiple product teams.
 </li>
 <li>
 You&rsquo;ll help in influencing / executing the roadmap for data infrastructure and systems to power high scale product features using Notion&rsquo;s data.
 </li>
 <li>
 You'll be responsible for monitoring and operating systems in production. You&rsquo;ll understand systems deeply, optimize performance and evolve critical production systems with minimal user disruption.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Passion for systems at scale: You have worked on data or infrastructure-focused engineering teams, particularly ones that own a wide swath of software platforms (hosted or built in-house). You've experienced the challenges of scaling and re-architecting event-based platforms and infrastructure through orders of magnitude of growth and scaling data volume. You deeply care about performance and cost while delivering value.
 </li>
 <li>
 Knowledge of asynchronous workflow systems. You have worked on systems that execute tasks asynchronously, handle complex workflows, and manage job scheduling. You understand the trade-offs between different orchestration patterns and can design systems that are both reliable and scalable.
 </li>
 <li>
 Adaptable and willingness to learn how things work: you love to learn how the systems you build are used at a fundamental level. You get excited at the idea of leaning into your users&rsquo; world and help make it better.
 </li>
 <li>
 Thoughtful problem-solving &amp; problem-seeking: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. After gaining context, you can identify patterns and scope for improvements.
 </li>
 <li>
 Pragmatic and business-oriented: You care about the business impact of what you're building, and you prioritize projects accordingly. You're not just going after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line.
 </li>
 <li>
 Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and disagree and commit when needed.
 </li>
 <li>
 Team player: You understand work is better, together. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You've built out and scaled event-based platforms at a fast-growing startup.
 </li>
 <li>
 You&rsquo;ve had prior experience with asynchronous workflow systems or event-based architecture, using technologies like Kafka and Redis.
 </li>
 <li>
 You&rsquo;ve had past experience working full-stack in Typescript and node.js ecosystem.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 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 made due to a disability, please let your recruiter know.
 
 
 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&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $230,000 - $260,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy.
 
 
</div>

Software Engineer, Data Platform Product

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