
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 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 event-based or data powered product experiences. You’ll join a team of talented engineers in our mission to build the best
in class foundational platforms that are key to the company’s business and product. Notion’s platforms and infrastructure are
vital to enabling our product features like search, automations, user notifications, workspace analytics and Notion AI.
powered product use-cases.
deliver short- and long-term impact.
deliver internal platforms that provide high leverage to multiple product teams
performance and evolve critical production systems with minimal user disruption.
data flows—and improving them with a hands-on, learn-by-doing mindset.
validate hypotheses, and prioritize the fixes that deliver the most impact.
clear docs, and extensible patterns that help other engineers move faster.
accordingly. You're not just going after cool stuff—you understand the balance between craft, speed, and the bottom line.
and you care about learning, growing, and helping others to do the same.
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.
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, the estimated base salary range for this
role is $196,000 - $261,000 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.
#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 Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here. The Data Product Platform is mission-critical to accelerating data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in three core areas: 1. Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products. 2. Analytical Velocity: Creating powerful analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively. 3. Data Governance: Defining and implementing the data governance policies and tools necessary to ensure the responsible, efficient and compliant storage and handling of all data. We are seeking a Sr. Staff Software Engineer to provide technical leadership and direction across these three pillars. In this role, you will be instrumental in architecting and driving solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of AI analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to lead our efforts. What you’ll do: * Spearhead the definition and design of Pinterest's data warehouse architecture, storage, governance, and usage. * Set the strategic direction for world-class data analytics tools, including experimentation platforms, ad hoc analysis systems, data visualization, data pipeline authoring, and AI-assisted data analytics capabilities. * Define, design, and drive the adoption of comprehensive data governance policies and tooling to ensure data quality, promote responsible data handling, and maximize efficiency. * Lead ambiguous, highly challenging, and cross-functional initiatives across the data ecosystem, expertly managing trade-offs among unique requirements and constraints (e.g., usability, efficiency, and compliance) to deliver a cohesive user experience. * Drive measurable adoption and significant business impact across the entire product portfolio through platform and tooling initiatives. * Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions. * Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress. What we’re looking for: * Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. * 12+ years of relevant industry experience with large scale data warehouses, data tools and platforms. * 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc. * Ability to work with cross-functional partners across multiple organizations. * Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc. * Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity. Relocation Statement: * This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. In-Office Requirement Statement: * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. #LI-REMOTE #LI-AH2 At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $208,592—$429,454 USD Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support. By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my knowledge. I understand that any false statement, omission, or misrepresentation may disqualify me from employment consideration or result in termination if discovered after hire.
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. The Lyft Business Product Platform team builds the systems and experiences that power Lyft's B2B products — enabling companies, organizations, and their employees to seamlessly access Lyft's transportation network. We sit at the intersection of product and platform, owning both the customer-facing features and the underlying infrastructure that makes them reliable at scale. Our work directly impacts how businesses integrate with Lyft, how admins manage their programs, and how millions of riders get where they need to go. RESPONSIBILITIES: * Drive architecture and technical design for systems that are highly available, scalable, and built to last — not just for today's requirements but for where the product is heading * Own features end-to-end: from shaping the technical spec and design through to production rollout and operational health * Think critically about how AI capabilities can be incorporated into Lyft Business products to improve the experience for business admins and riders — and bring that perspective into roadmap and architecture conversations * Make well-reasoned trade-off decisions and communicate them clearly to peers, leads, and cross-functional partners * Write clean, well-tested, maintainable code and hold a high bar for the same in code reviews * Partner across engineering, product, and design to align on direction and get buy-in on technical approaches * Proactively engage in incident response, contributing both to resolution and to long-term reliability improvements * Grow the team's technical culture through design reviews, tech talks, and mentorship EXPERIENCE: * 5+ years of software engineering experience, with a track record of designing and shipping production systems at scale * Strong system design instincts — you can reason through distributed systems trade-offs, identify failure modes, and choose the right architecture for the problem * Curiosity and informed opinions about how AI can meaningfully improve product experiences, not just as a workflow tool but as a capability embedded in what we build * Hands-on experience with large-scale, fault-tolerant distributed systems in a cloud environment (AWS, GCP, or Azure) * Proficiency in object-oriented programming; experience with the languages and frameworks used in our stack is a plus * Solid foundations in relational and NoSQL databases — data modeling, query optimization, and operational considerations * Clear communicator who can explain technical decisions in writing, in design reviews, and across teams * BS/MS in Computer Science, Computer Engineering, or equivalent practical experience BENEFITS: * Great medical, dental, and vision insurance options with additional programs available when enrolled * Mental health benefits * Family building benefits * Child care and pet benefits * 401(k) plan with company match to help save for your future * In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off * 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible * Subsidized commuter benefits * Monthly Lyft credits and complimentary Lyft Pink membership 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 — 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 $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success. WHAT YOU'LL DO You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it. RESPONSIBILITIES * Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services * Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end * Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale * Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations * Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning) * Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability * Work closely with the open-source community to identify opportunities for adopting new open-source features and contributing back to OSS WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * This is a Staff-level role—that typically means 10+ years of experience building, operating, and evolving large-scale production systems. * Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments * Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot * Experience developing, maintaining, and debugging distributed systems built with open-source tools * Experience building and scaling infrastructure as a product • Strong software engineering skills and a passion for big data distributed systems * Ability to write high-quality code (in programming languages like Go, Java, Scala, etc.) * Comfortable operating with high autonomy and ownership * Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed * Strong written and verbal communication skills, including the ability to produce clear technical documentation PREFERRED QUALIFICATIONS * Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale * Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production * Experience building or operating control planes for managing large-scale infrastructure * Open-source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc.)