Senior Product Manager: Extensible Compute
Snowflake · Menlo Park, CA · Product management · posted 2 days ago

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Snowflake · Menlo Park, CA · posted 166 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Snowflake |
|---|---|
| Location | Menlo Park, California |
| Field | Technology › Data, analytics and AI |
| Level | not stated |
| Source category | Engineering, Engineering |
| Posted | 2026-05-27 (166 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
ABOUT THE ROLE :
You will work on critical business initiatives in the core database engine, bringing an AI-first approach to software development to accelerate roadmap cycles and deliver greater customer impact.
Your work will directly impact how developers and businesses build with data. You'll own features end-to-end while applying AI-native engineering practices across design, implementation, evaluation, deployment, measurement, and optimization.
You will thrive here if you are comfortable working in a fast-moving environment with short feedback loops, ambiguity, and a high bar for execution. We value people who take problems through completion, going beyond prototypes to deliver reliable, observable solutions with measurable outcomes.
AS A SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:
Own features end-to-end for Snowflake Database Engineering products, from design and implementation through testing, deployment, and production operations.
Design and build reliable, scalable systems for complex database and data platform workloads, with a focus on performance, correctness, and operability.
Lead the adoption of modern AI-driven development practices, using coding agents, automated verification, and continuous benchmarking to build higher-quality software at speed.
Partner with product and infrastructure teams to translate customer and engineering problems into robust product capabilities and production-ready systems.
Work with a highly experienced team of engineers to build and evolve core Snowflake products.
OUR IDEAL SOFTWARE ENGINEER WILL HAVE:
Bachelor’s degree in Computer Science, Engineering, Statistics, or a related field. Master’s or higher degree preferred, but not required.
2+ years of software engineering experience building and operating complex production systems.
Solid distributed systems fundamentals, with exposure to areas such as distributed execution, storage systems, concurrency, fault tolerance, performance optimization, or large-scale data processing.
Strong hands-on experience with AI coding agents, including advanced use across the software development lifecycle and strong intuition for model strengths, failure modes, and limitations.
Proficiency in one or more programming languages such as C++, Java, Go, Rust or Python.
Strong communication skills and ability to collaborate effectively across engineering and product teams.
Preferred Qualifications
Power user of modern coding agents who goes beyond adoption by systematically measuring their effectiveness, identifying failure modes, and improving their use in engineering workflows.
Familiarity with database internals, including query languages, compilation, query optimization or execution, semantic layers, or large-scale storage and retrieval systems.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
Field: Technology Sub-niche: Data, analytics and AI All jobs at Snowflake Jobs in California Jobs in Menlo Park, CA Menlo Park city guide California state guide San Mateo County economy
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This is a — role in the Technology field (Data, analytics and AI) at Snowflake.
We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.
Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.
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The job is in Menlo Park, CA. Below is what the official statistics say about living and working there.
How Menlo Park compares. Among the 145 largest places in California, Menlo Park is #133 by population, #9 for household income (#1 = highest), #135 for rent (#1 = cheapest), #11 for college degrees (#1 = most). Its county, San Mateo County, is #2 of 58 counties for average pay ($196,441).
Menlo Park has 32,727 residents (ACS 2020–2024), about 0.1% of the population of California. It covers 10 square miles of land, which works out to roughly 3,276 people per square mile. The median age is 39.5, 4% older than the state median (39.5 against 37.9).
The median gross rent is $3,239 a month (rent plus utilities), 59% above the state median ($3,239 against $2,036). Over a year that is 18.5% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is above $2 million (the ACS reports $2,000,001 as its highest value, so the true median is higher), which is at least 9.5 times the median household income ($210,025); a ratio above 5 usually means buying is out of reach without savings or a second income. 54.2% of households own their home, about the same as the state average (54.2% against 55.9%).
The San Francisco-Oakland-Fremont, CA metropolitan area has 2,373,920 jobs in the BLS wage survey, and the median pay across all occupations is $74,260 a year, 46% above the national median ($74,260 against $50,980). The biggest occupation groups are office and administrative support (226,320 jobs, median $62,120); management (223,100 jobs, median $176,340); business and financial operations (207,030 jobs, median $112,960). The area is most specialised in computer and mathematical (1.9 times) and life, physical, and social science (1.8 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($176,340) and computer and mathematical ($167,770). In 2026M09 the unemployment rate of San Mateo County was 3.9%. 65.9% of residents aged 16 and over are in the labour force. The city lies in San Mateo County; its jobs, pay by industry and GDP are on the county page.
Among workers, 48.4% drive alone, 2.0% use public transit, 1.7% walk, 32.4% work from home. 11.5% of workers commute 45 minutes or more, 41% below the state average (11.5% against 19.4%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.
72.5% of adults aged 25 and over hold a bachelor's degree or higher, 96% above the state share (72.5% against 37.1%). 30.0% of residents were born outside the United States, 11% above the state share (30.0% against 27.0%). The poverty rate is 5.8%, 52% below the state rate (5.8% against 12.0%).
The warmest month is Aug, averaging 68°F (19.8°C), and the coolest is Jan at 47°F (8.3°C). About 510 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (114 mm) and Jul the driest (0 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.
Closest cities in this guide: East Palo Alto (1 miles, rent 31% lower); Atherton (3 miles, rent 8% higher); Redwood City (4 miles, rent 8% lower); Palo Alto (6 miles, rent 8% higher). Rent differences are against Menlo Park; use the Compare tab to put any two cities side by side.
Full guide to Menlo Park →California guideAll jobs in Menlo Park
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We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:
Cybersecurity (762) Software engineering (4641) Cloud, IT and infrastructure (1147) Product management (927)
This job has no single city we can place on the map (remote, flexible or unmatched location), so no distance table is shown. Browse all Technology jobs with distances from any of the 20 largest cities.
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A private-sector role in technology (data, analytics and ai) listed 166 days ago. The full description is on this page and on the employer's page.
Menlo Park, CA.
Use the "View this job and apply on the employer's page" button. AtiveSite does not receive applications.
The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Menlo Park is $3,239 a month and median household income $210,025 (ACS 2020–2024).
It was posted on 2026-05-27 (166 days ago). Jobs older than 90 days are not shown.
Yes: browse data, analytics and ai jobs in California.
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