Summary written by USA Jobs 24 from Notion's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Notion is hiring a Engineering Manager, Data Platform Foundations in San Francisco, CA. It is a full-time hybrid role in Data, AI & Analytics, first listed on November 1. The advertised pay is $281,000–$334,000 a year. The description mentions Kafka and Apache Spark. Notion has 75 other openings in the US, 66 of them in San Francisco, CA. Across all employers on USA Jobs 24 there are 434 Data & AI openings in San Francisco, CA today; the typical one asks for 5 years and advertises about $235,000 a year at the midpoint.
How the pay compares
Notion advertises $281,000 to $334,000 a year, a midpoint of $307,500 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is higher than about 87% of the 559 data & AI jobs in California that publish a yearly rate on USA Jobs 24, where the typical midpoint is $229,000 a year. To see roughly what this leaves after federal and California tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Apache Spark is the most widely requested (13% of jobs), while Kafka is the least common (5%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
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Before you apply
- Check it is still open. We found this job on Notion's Ashby site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Plan the commute. This is a hybrid role based in San Francisco, CA. Ask how many days a week you would be expected in the office.
- Tailor your resume. Use the advert's own words, such as Kafka and Apache Spark, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Notion's own site. Our Apply button goes straight to Notion's Ashby page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Notion
Notion has 76 openings on USA Jobs 24 today across 3 states. Most are in software & IT (24), sales & BD (15) and data & AI (10). The biggest locations are San Francisco, CA (67), New York, NY (42) and Atlanta, GA (1). 1% of them are remote, 12% are open to entry-level candidates and 100% show pay. We collect Notion's jobs every day straight from its own careers system (Ashby), never from job boards or agencies.
The employer's advert
This is Notion's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from NotionHide the advert1,275 words
Who We Are
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
About the Role:
Notion’s Data Foundations team builds and operates the batch and streaming infrastructure behind our product features, analytics, search, and AI experiences. We’re looking for a hands-on technical leader to shape the next generation of this platform as Notion serves larger customers, expands globally, and supports more data-intensive products. You’ll identify the highest-leverage problems, set direction, build and develop a high-performing team, and lead multi-quarter initiatives across our data lake, streaming, distributed-compute, governance, and reliability systems. You’ll stay close to critical technical decisions while creating clear ownership, growing engineers and technical leaders, and helping the team execute as one—partnering closely with Data Engineering, Data Product, Search, AI, Infrastructure, and Security.
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.
What You'll Achieve:
Set the direction for Data Foundations. Turn ambiguous company and customer needs into a clear multi-quarter strategy across the data lake, streaming, distributed compute, governance, and platform reliability—and align engineers and partner teams around it.
Build and develop a high-performing team. Attract strong engineers, set clear expectations, grow technical leaders, and create an environment of ownership, direct feedback, and accountability.
Lead the team’s hardest initiatives from idea to operation. Ensure complex work has strong technical ownership, de-risk architectures through prototypes, break work into shippable milestones, and coordinate execution across engineers and teams.
Make Notion’s data platform enterprise-ready. Guide the team toward durable foundations for external key management, data residency, access controls, lifecycle management, and governance without creating separate systems for every requirement.
Raise reliability, simplicity, and cost efficiency. Identify systemic risks and architectural gaps, establish clear service ownership, and lead migrations that make Kafka, Debezium, S3/Iceberg, Spark, EMR, Athena, and related systems easier to operate at scale.
Multiply the engineering organization. Establish reusable abstractions and paved paths, delegate meaningful ownership, raise the quality of technical decisions, and scale expertise through coaching, documentation, tooling, design reviews, and direct collaboration.
Skills You'll Need to Bring:
Deep data-platform expertise. You have designed and operated large-scale batch and streaming systems and can reason across storage, compute, ingestion, orchestration, serving, governance, and production operations.
Direction-setting leadership. You have led a Data Platform or infrastructure team through multi-quarter work—finding the right problems, defining a strategy, sequencing execution, and driving decisions with long-term consequences.
Team-building and talent development. You have attracted strong engineers, grown people across career stages, developed technical leaders, and created clarity when expectations or performance needed to change.
Hands-on engineering judgment. You stay close to critical systems and designs and know when to prototype, simplify, buy, build, or migrate. You can go deep while preserving ownership for the engineers leading the work.
Platform-product thinking. You understand the needs behind partner requests and turn repeated patterns into safe, ergonomic, self-serve capabilities rather than accumulating bespoke solutions.
Organizational influence. You create clarity across team boundaries, surface uncomfortable technical or organizational risks early, and help engineers do their best work through strong context, delegation, feedback, and coaching.
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. People who thrive here don’t treat AI as a novelty. They use it to think better, move faster, and build more creatively.
The Systems and Problems You May Lead
Evolving Notion’s data lake toward an S3 + Iceberg lakehouse with stronger governance, discoverability, schema evolution, and lifecycle controls
Scaling Kafka and Debezium-based streaming infrastructure that powers real-time product, analytics, and AI use cases
Improving Spark and distributed-compute performance, workload isolation, developer experience, and cost efficiency
Designing EKM, data residency, and compliant processing capabilities across Notion’s data estate
Creating clear platform interfaces and self-serve primitives for Data Engineering, Search, AI, and product teams
Why This Role Matters
Notion’s data infrastructure is no longer only an internal analytics layer. It increasingly powers customer-facing features, AI systems, enterprise controls, and high-volume product workflows. The team needs a leader who can see across these systems, build the technical leadership and operating culture required for that responsibility, and find the problems that matter before they become roadmap blockers. Success means Data Foundations has a strong, growing team with clear direction and dependable execution—and teams across Notion can build ambitious data-powered products faster without compromising customer trust.
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 $281,000 - $334,000 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.
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A Note on AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
Equal Opportunity & Accommodations
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
USA Jobs 24 copied this listing from Notion's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Notion will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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