
Notion · San Francisco
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, a...
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.
Millions of people use Notion — and this number is increasing every day. That means millions of people, from students to large
enterprises, trust us to keep their data secure and private, 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.
Notion is looking for software engineers who are excited to make trust and security a core part of how Notion scales.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our
Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work
alongside the team during those days.
trust Notion for their most important work while supporting growth across consumers and enterprise customers.
objectionable content, scraping, private API abuse, account takeover, and other forms of fraud and abuse.
workflows—helping make Notion the trusted AI workspace for individuals, teams, and enterprises.
of how Notion scales.
ambiguous problems. You act with a bias toward action and focus on results.
goals, and you care about learning, growing, and helping others to do the same.
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 $200k - $280k per year.
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 and NYLL 144.
#LI-Onsite
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.
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.
ABOUT OMNI Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives enterprises a governed context graph for analytics and AI. Teams use Omni to ask questions in plain English, refine answers in workbooks, and bring trusted data into tools like Claude, ChatGPT, Cursor, and Slack. Based in San Francisco, CA, Omni has raised $217M from the world’s top investors, including ICONIQ, Theory Ventures, First Round Capital, Redpoint Ventures, and GV. Its latest $120M Series C valued the company at $1.5B. WHAT YOU'LL DO * Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows * Design queues, and workers for enrichment, routing, assignment, and activation * Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors * Work directly with various GTM teams to turn one-off experiments into reusable platform primitives * Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems WHAT WE'RE LOOKING FOR * 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure * Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools * Track record of owning complex, end-to-end systems that serve real users or business-critical workflows * Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability * You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output * Strong debugging instincts TECH STACK You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration. * Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs * dbt for transformation, data models, and tests * Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries * AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing * Fivetran * Python and SQL * Terraform and GitHub Actions * Soda * Omni LOCATION This role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote. WHY JOIN US * Passionate, close-knit team with extensive experience in the space, including founders from Looker and Stitch Data * Health, dental, and vision insurance * 401(k) Plan * Unlimited PTO Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.
MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications. Atlas Search is a multi-cloud service that allows users to execute complex full text and vector search queries using the MongoDB Query Language. Our users are free to focus on relevance and data retrieval instead of the machinery needed to search data at scale. Our team builds and maintains the instances and supporting infrastructure powering Atlas Search. This platform deploys and monitors search deployments, providing a highly scalable yet observable system for customers and engineers. The Atlas Search product is quickly gaining traction with customers and we are shipping core infrastructure components that enable this growth. This role is based in San Francisco, CA with an in-office or hybrid work model. SUCCESSFUL CANDIDATES WILL HAVE THE FOLLOWING QUALITIES: * 2+ years of hands-on experience designing, building, testing, and maintaining industrial-strength backend software and automation in complex codebases * Experience developing distributed systems and multithreaded applications * Familiarity with public cloud platforms, distributed infrastructure, and metric-based development * Experience with at least one modern statically typed programming language, and interest in working with Java * Excellent verbal and written technical communication skills and enthusiasm for collaborating closely with colleagues * A growth mindset and the desire to learn quickly through taking on challenges, reflecting on outcomes, and incorporating feedback * A strong sense of ownership over their work, from initial design all the way through maintaining code in production YOU WILL: * Contribute to the design, implementation, and support of projects that improve the scalability of Atlas Search to make using it a seamless experience for even the largest workloads * Work with a collaborative team that prioritizes sound technical decision-making and building systems that our customers love and that we are proud of as engineers * Have the opportunity to lead projects and own subsystems * Provide input on the team’s roadmap and help determine the architecture of our system SUCCESS MEASURES: * In 3 months you’ll have a solid high-level understanding of what our team does and how we operate. You’ll have contributed to the development of an existing project and completed several small improvements or bug fixes * In 6 months you’ll be reviewing code and project designs, and be an active participant in team meetings * In 12 months you’ll have a thorough understanding of the systems our team owns and have led a small project. You’ll have proposed small improvements to our code, product, or team processes ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Req ID: 4263333191 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $122,000—$209,000 USD
Role At Variance, we are teaching machines to make the hardest judgement calls at scale. That means building AI agents for the high-precision gray-area of risk investigations, fraud, and identity reviews. We’re a small, talent-dense team in San Francisco, tackling problems that touch billions of events and entities. Our customers include several Fortune 500s, global marketplaces, and regulated financial services. If you thrive on extreme ownership, moving fast, and working directly with founders, you’ll feel at home here. You’re a fit if you: * Have 1-3 years of experience of professional software engineering experience * Care deeply about craftsmanship and have strong opinions about building high-quality products * Are comfortable with our tech stack: React/Next.js, TypeScript, MySQL, and ClickHouse for agent context, though we value strong fundamentals over experience with any specific technology * Enjoy owning features end-to-end, from backend systems to polished UI to production * Thrive in fast-moving environments with short iteration cycles and a high degree of responsibility * Are excited by the prospect of building AI interfaces for high-stakes decisions that protect people from fraud, scams, and abuse What you’ll do * Build and ship features end-to-end with iteration cycles measured in hours, not quarters * Work across the stack to turn ambiguous problems into reliable product experiences * Partner directly with the founders on massive-scale, frontier problems * Scale our product into new industries and workflows through fast pilots and live demos * Design systems where AI must decide in real time, balancing precision, speed, and user trust * Help improve the product through rapid feedback, experimentation, and strong execution Our culture We believe in ownership, urgency, and craft. We enjoy spirited debate, wild ideas, and building things we’re proud of. We’re fully in-person in San Francisco. What we offer * Competitive salary and meaningful equity * Health care: we offer platinum-level medical, dental, and vision insurance * Unlimited PTO, sick leave, and parental leave * Up to $100 in reimbursement for personal health & wellness expenses each month * 401(k) plan