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product engineer - sf Jobs in San Francisco

product engineer - sf

ai engineer

Rippling

<div><h2 class="jobSectionHeader">About Rippling</h2>
Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. 
Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365&mdash;all within 90 seconds. 
Based in San Francisco, CA, Rippling has raised $1.4B+ from the world&rsquo;s top investors&mdash;including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock&mdash;and was named one of America's best startup employers by Forbes. 
We prioritize candidate safety. Please be aware that all official communication will only be sent from @Rippling.com addresses.<h2 class="jobSectionHeader"> 
About the role</h2> 
We are looking for a Staff Engineer to join the Applicant Tracking System (ATS) team and lead the vision and execution of AI-powered capabilities across our product. As the dedicated AI owner for ATS, you will be responsible for designing and building features that help hiring teams identify and engage with the best candidates more effectively.
This is a highly visible and impactful role where you will partner closely with product managers, designers, and other engineers to bring intelligence into every step of the recruiting process. You will navigate ambiguous problem spaces, translate customer needs into scalable technical solutions, and serve as the go-to expert for AI within ATS.
In this role, you will shape the future of how recruiting teams use AI to make better decisions, streamline workflows, and unlock insights from the rich data inside Rippling.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Take ownership of all AI-driven capabilities within the ATS product, from concept through delivery.</li><li>
Collaborate closely with product managers, designers, and cross-functional partners to identify opportunities where AI can meaningfully improve the recruiting experience.</li><li>
Design and build scalable systems that leverage large volumes of structured and unstructured recruiting data, including resumes, applications, interview feedback, and candidate interactions.</li><li>
Drive clarity in ambiguous problem spaces, creating actionable technical plans and delivering solutions that meet customer needs.</li><li>
Mentor other engineers on best practices for building and integrating AI-powered features.</li><li>
Partner with go-to-market and customer-facing teams to gather feedback, validate assumptions, and iterate quickly on new capabilities.</li><li>
Champion AI-first thinking within ATS and act as the subject matter expert for all AI-related initiatives</li></ul><h2 class="jobSectionHeader">
What you will need</h2><ul><li>
8+ years of professional software engineering experience, including several years building production systems at scale.</li><li>
Proven experience delivering end-to-end product features, from technical design to customer impact.</li><li>
Strong system design and architecture skills, with the ability to think across multiple domains (product, data, and infrastructure).</li><li>
Hands-on experience working with both structured and unstructured data, ideally within data-heavy or ML-driven products.</li><li>
Familiarity with AI and ML technologies such as embeddings, semantic search, LLMs, or NLP-based systems.</li><li>
A strong product mindset and a track record of using engineering to create customer value.</li><li>
Excellent communication and collaboration skills, especially when working with cross-functional partners.</li><li>
A willingness to operate in ambiguous spaces, make pragmatic tradeoffs, and move quickly while maintaining technical excellence.</li></ul><h2 class="jobSectionHeader">
Additional Information</h2>
Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accomodations@rippling.com 
Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role. 
This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here. 
A variety of factors are considered when determining someone&rsquo;s compensation&ndash;including a candidate&rsquo;s professional background, experience, and location. Final offer amounts may vary from the amounts listed below. 
The pay range for this role is: 
180,000 - 315,000 USD per year(US San Francisco Bay Area)</div>

Staff Full Stack Engineer (Backend) - ATS

Tonic.ai

<div>Tonic.ai is looking for a hands-on Machine Learning Engineer to help build production-grade NLP systems that power our data privacy and information extraction products. You'll join a small, experienced team working at the intersection of LLMs, data privacy, and applied AI &mdash; developing and fine-tuning models that detect and redact sensitive information across diverse datasets.<h2 class="jobSectionHeader">
What You&rsquo;ll Do</h2><ul><li>
Build and ship models. Fine-tune and evaluate transformer-based models (e.g., RoBERTa, Gemma, LLaMA) to support PII redaction, entity extraction, and synthetic data generation.</li><li>
Own the ML lifecycle. From dataset curation and experiment tracking to model deployment and monitoring &mdash; you&rsquo;ll own the full path from prototype to production.</li><li>
Collaborate cross-functionally. Partner with Product and Design to shape how ML models drive user-facing features, and work with the broader engineering team to integrate them into scalable systems.</li><li>
Experiment responsibly. Document your experiments, evaluate results rigorously, and help push the frontier of safe and explainable AI for data privacy.</li></ul><h2 class="jobSectionHeader">
What You&rsquo;ll Bring</h2><ul><li>
3+ years of professional experience in applied ML or data science with a focus on NLP</li><li>
Proficiency in Python and deep learning frameworks such as PyTorch and Hugging Face Transformers</li><li>
Hands-on experience with experiment tracking (e.g., Weights &amp; Biases), distributed training (e.g., Accelerate), and model serving (e.g., vLLM)</li><li>
Comfort working independently and iterating quickly &mdash; you enjoy the mix of research, engineering, and product thinking</li><li>
Strong communication and collaboration skills</li></ul><h2 class="jobSectionHeader">
Bonus Points For:</h2><ul><li>
Experience with supervised and reinforcement learning fine-tuning (e.g. TRL)</li><li>
Familiarity with data privacy, PII redaction, or healthcare data</li><li>
A public portfolio, blog, or open-source contributions that demonstrate your technical depth and curiosity</li></ul><h2 class="jobSectionHeader">
Why You&rsquo;ll Love It Here</h2><ul><li>
High autonomy and meaningful ownership &mdash; your models will ship to production, not sit in a notebook</li><li>
Small, collaborative team with deep expertise in NLP and privacy</li><li>
Opportunity to work with real-world, high-impact data in domains like healthcare and financial services</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary and company equity</li><li>
Unlimited PTO and generous parental leave</li><li>
Medical, dental, and vision insurance</li><li>
401(k) with employer contribution</li><li>
Remote-friendly work environment</li></ul><h2 class="jobSectionHeader">
About Tonic.ai</h2>
Tonic.ai creates safe, high-quality synthetic data that helps developers move fast while protecting sensitive information. Thousands of engineers rely on Tonic-generated data daily to power development, testing, and CI/CD pipelines across industries including healthcare, financial services, logistics, and education. We&rsquo;re growing fast and looking for builders who want to make privacy practical.</div>

Machine Learning Engineer (NLP)

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

OpenAI

About the Team
 
The ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to the world.
 
We seek to learn from deployment and broadly distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. We aim to make our innovative tools globally accessible, transcending geographic, economic, or platform barriers. Our commitment is to facilitate the use of AI to enhance lives, fostered by rigorous insights into how people use our products.
 
About the Role
 
We are looking for a
 
Machine Learning Engineer
 
to join our
 
Notifications team
 
, focused on building and scaling intelligent notification systems that provide real value to users even when they are not actively on the product. This role will be central to shaping how ChatGPT communicates proactively and helpfully with users—surfacing the right content, at the right time, through the right channel.
 
You will work on designing and implementing ranking and recommendation systems that leverage both classical ML techniques and large language models (LLMs) to optimize notification relevance, timeliness, and user experience. The ideal candidate has strong ML fundamentals, experience shipping ranking or recommendation systems in production, exposure to LLMs, and sharp product intuition. You should be comfortable operating across research and product boundaries: thinking from first principles, running rigorous experiments, and building scalable systems.
 
This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
 
In this role, you will: 
Design and build end-to-end
 
ranking and recommendation systems
 
for notifications, from modeling to evaluation and deployment.
 
Apply and adapt
 
LLMs to ranking problems
 
, including prompt-based approaches and fine-tuning.
 
Develop experiments to evaluate notification relevance, user value, and long-term impact, working closely with product, data science, and engineering teams.
 
Collaborate with research teams to leverage the latest modeling techniques while balancing practical constraints of production systems.
 
Build robust offline and online evaluations to measure system improvements and user outcomes.
 
Contribute to the broader Growth ML stack and help set technical direction for intelligent user engagement systems.
 
You might thrive in this role if you: 
Have hands-on experience building and deploying
 
ranking, recommendation, or personalization systems
 
at scale.
 
Have a deep understanding of machine learning and its applications, with exposure to
 
LLMs
 
and their integration into product experiences.
 
Are experienced in
 
experimentation
 
, A/B testing, and analyzing impact on user behavior and business metrics.
 
Are comfortable diving into large ML codebases, designing evaluations, and debugging complex modeling issues.
 
Thrive in dynamic, fast-changing environments and can think from first principles to design elegant solutions.
 
Have strong
 
product intuition
 
and can balance modeling sophistication with product impact.
 
About OpenAI
 
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
For additional information, please see
 
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
 
.
 
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
 
this form
 
. No response will be provided to inquiries unrelated to job posting compliance.
 
We are committed to providing reasonable accommodations to applicants with disabilities.
 
OpenAI Global Applicant Privacy Policy
 
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
Compensation
 
$325K – $590K + Offers Equity

Research Engineer, Notifcations

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Francisco, CA, USA; Mountain View, CA, USA; San Jose, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>8 years of experience in software development.</li>
<li>7 years of experience building and developing large-scale infrastructure, distributed systems or networks or experience with compute technologies, storage or hardware architecture.</li>
<li>5 years of experience with design and architecture; and testing/launching software products.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>PhD in computer science, AI, distributed systems, machine learning, or a related field.</li>
<li>5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
In this role, you will be a part of a cross-functional team with a set of skills spanning research, prototyping, and production mobile development that will drive the boundaries of how headsets and glasses unlock new capabilities for users.
You will be working with some of the most cutting-edge technical developments (e.g., generative AI, agentic systems) across all modalities. Work on one of the best form factors for fully uncovering the potential of AI agents. Collaborate with excellent cross-functional partners (Product Management, User Experience, Program Management, and User Experience Research) to develop completely new user interfaces for people to interact with head-worn devices. Work with a fun group of people who enjoy working together to make new experiences come to life.
For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap &ndash; the convergence of AI and XR. This is more than just new devices &ndash; it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.
The US base salary range for this full-time position is $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Define roadmap for Extended Reality (XR) Interfaces powered by AI conversational agents that supports a healthy balance of innovation, user research, and industry trends to push the boundaries of how users interact with headsets and glasses.</li>
<li>Partner closely with the broader Applied AI teams, XR developer team, App teams and Google deepmind teams to align development with real-world use cases and tests.</li>
<li>Approach to software design, architecture, and coding standards to ensure the highest quality and scalability of XR's AI-driven system interface.</li>
<li>Lead, mentor, and develop top engineering talent across the XR Human Interface team.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Technical Lead, Human Interfaces, Extended Reality

Skyfire

<div>About Skyfire 
Skyfire is building the payment backbone for the emerging machine economy &mdash; a future where AI and machines transact seamlessly, instantly, and autonomously. Current financial systems aren&rsquo;t designed for this, so we&rsquo;re creating one that is.By leveraging stablecoins and blockchain technology, Skyfire enables instant, global micropayments between AI, APIs, data providers, and services. Enterprises can also automate microtransactions at scale &mdash; all with speed, security, and transparency. Our team brings deep experience in payments, fintech, and distributed systems &mdash; and we&rsquo;re moving fast to define how the machine economy will pay for itself.<h2 class="jobSectionHeader">
Why This Role Matters</h2>
As a Backend Engineer at Skyfire, you&rsquo;ll be building the infrastructure that powers high-speed, high-volume machine-to-machine payments. From smart contract integrations to high-throughput APIs, you&rsquo;ll architect, code, and optimize backend systems that will scale from tens to thousands of requests per second. Your work will be critical in making AI-to-AI payments not just possible, but frictionless.<h2 class="jobSectionHeader">
In This Role, You&rsquo;ll Get To:</h2><ul><li>
Design and develop core backend components, including smart contract integrations, payment processing logic, and APIs. 
</li><li>
Implement scalable blockchain solutions for on-chain machine payments with high throughput and low latency. 
</li><li>
Collaborate closely with product to translate requirements into robust, maintainable technical solutions. 
</li><li>
Optimize performance for speed, scalability, and cost-efficiency across distributed systems. 
</li><li>
Mentor junior engineers and foster a culture of technical excellence and innovation. 
</li><li>
Stay ahead of the curve on blockchain, smart contracts, and AI technologies &mdash; integrating them where they create real impact. 
</li></ul><h2 class="jobSectionHeader">
We&rsquo;re Excited About You Because You Have:</h2><ul><li>
A self-starter mindset and the drive to tackle big challenges head-on. 
</li><li>
Strong TypeScript proficiency and Node.js backend development expertise. 
</li><li>
Experience with PostgreSQL or MySQL and sound database design skills. 
</li><li>
Solid system design skills to scale from 10s to 1000s of RPS. 
</li><li>
Familiarity with CI/CD, Kubernetes, and Docker for smooth build and deployment. 
</li><li>
Experience with cloud infrastructure (AWS, GCP, or Azure) &mdash; including networking fundamentals like load balancers and firewalls. 
</li><li>
Strong skills in testing, debugging, and reliability engineering.</li></ul><h2 class="jobSectionHeader">
Bonus Points If You Have:</h2><ul><li>
Experience with REST or GraphQL APIs (design + integration). 
</li><li>
Knowledge of OAuth 2.0, OpenID Connect, SSO, and RBAC. 
</li><li>
Understanding of time complexity and system performance optimization. 
</li><li>
Familiarity with NoSQL / Key-Value Stores. 
</li><li>
Awareness of security best practices for authentication, authorization, and encryption. 
</li><li>
Web3 / blockchain experience &mdash; especially smart contracts and dApps. 
</li></ul><h2 class="jobSectionHeader">
Why You&rsquo;ll Love Working Here:</h2><ul><li>
Competitive cash + equity package &mdash; we believe in rewarding impact. 
</li><li>
Healthcare coverage for you and your family. 
</li><li>
Fast-growth startup environment &mdash; with real ownership from day one. 
</li><li>
Collaborative, high-impact culture &mdash; where innovation and execution thrive. 
</li><li>
Shape the future &mdash; play a key role in how AI and machines transact globally.
Interview Process<ul><li>
Recruiter Screen</li><li>
Woven Assessment</li><li>
Hiring Manager Screen</li><li>
Live Coding</li><li>
System Design</li><li>
Commitment Interview</li></ul></li></ul>
4arTw4S2H4</div>

Senior Backend Engineer

<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 Cloud Infrastructure team is a unique opportunity within Notion to architect the foundational cloud environment that can scale alongside Notion&rsquo;s rapid growth. As an engineer on the team, you'll work on the fundamental infrastructure components that all other teams at Notion build upon and guide Notion through the next few years of growth.
 
 
 
 What You'll Achieve
 
 
 
 <ul>
 <li>
 Drive the future of Cloud Infrastructure at Notion&mdash;you&rsquo;ll lead our strategy and execution across compute, networking, and resource orchestration, ensuring our platform scales reliably and securely to serve 100M+ users worldwide. Including container orchestration, cloud cost efficiency, resilience, global expansion across regions while considering compliance and performance.
 </li>
 <li>
 Hands on in building our next-generation self-service platform, partnering with product engineers to enable rapid, reliable deployment with strong guardrails&mdash;while reducing friction and increasing velocity across hundreds of developers. You'll be responsible for maintaining a high-quality bar for everything your team ships.
 </li>
 <li>
 Lead by example in operational excellence&mdash;you&rsquo;ll guide the team through high-severity incidents, eliminate our gaps in observability, improve incident response processes, and uphold reliability standards. You&rsquo;ll participate in a sustainable on-call rotation and help shape Notion&rsquo;s reliability culture.
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Software Engineer with Cloud Infrastructure Foundation: You are a hands-on software engineer who is an expert in contributing to large codebases and establishing strong patterns in greenfield projects. You bring a test-driven development mindset, carefully consider how your changes will affect production environments, and take steps to validate them. You have expertise with cloud concepts, particularly in networking, compute optimization. You build observability tools to validate changes and programmatically catch regressions.
 </li>
 <li>
 Startup mentality: You are comfortable navigating the fast moving, unstructured nature of a hyper-growth startup. You understand the importance of setting the engineering quality bar for the long term success of our business, but are able to make difficult prioritizations.
 </li>
 <li>
 Pragmatic and business-oriented: You care about business impact and prioritize projects accordingly. You don't just go after cool stuff&mdash;you understand the balance between craft, speed, and the bottom line.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You have experience working with the following:
 </li>
 <ul>
 <li>
 Cloud Compute and Networking technologies - Cloudflare / AWS
 </li>
 <li>
 Cloud Efficiency - capacity planning, cost attribution
 </li>
 <li>
 Infrastructure as Code Technologies - Terraform / Pulumi / Typescript
 </li>
 </ul>
 <li>
 You are comfortable using AI tools to accelerate impact
 
 </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 or New York, the estimated base salary range for this role is $130,000 - $250,000 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, Cloud Infrastructure

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