Senior Technical Success Manager, Emerging Enterprise - West
Amplitude · San Francisco, CA · Executive and general management · posted 5 days ago
Amplitude · San Francisco, CA · posted 4 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | Amplitude |
|---|---|
| Location | San Francisco, California |
| Field | Technology › Data, analytics and AI |
| Level | not stated |
| Source category | Engineering, Engineering |
| Posted | 2026-11-05 (4 days ago) |
| Work arrangement | A remote or flexible location is listed |
| Pay | Not published in the source listing |
Amplitude is the leading AI analytics platform, helping over 5,200 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com.
As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.
San Francisco- Hybrid
ABOUT THE ROLE & TEAM:
Every chart, insight, and experiment result a customer sees in Amplitude passes through the compute layer our team owns. We sit between Amplitude’s product experiences, APIs, and MCPs and our analytics database, and we own the compute API that turns a user’s question into a fast, correct answer.
Our mandate: enable a highly performant, reliable, and flexible way to compute insights. Day to day, you’ll work with engineers on Data Management, marketing analytics, Session Replay, Experiment, CDP, and other product teams that build on what we ship, as well as with the Query team below us, whose engine we rely on.
This role is for an engineer who is hungry to grow quickly. You’ll own small-medium-complexity projects end to end in a system that is changing fast, and we’ll stretch you on purpose with real problems, honest feedback, and strong engineers to learn from.
WHAT YOU’LL ACHIEVE:
Make new behavioral insights easier to build. Design and ship new query capabilities, extension points, and shared libraries/services that let product teams deliver new analyses in less time.
Own the reliability of what you build. Define tests, rollout plans, and observability, know your service’s SLOs, and fix problems at the root.
Keep real customer workloads fast. Profile query paths, find bottlenecks with traces and experiments, and verify that your changes helped.
Help us change the system safely. Take part in migrations of APIs, schemas, and services, and learn how good abstractions make change cheaper.
Become a go-to person. Build real expertise in part of the system, answer teammates’ questions, and share what you learn through docs and demos.
Stay close to the customer. Understand the customer problem behind every project, measure whether your work made their experience better, and bring what you learn back to the team.
EXAMPLE PROJECTS YOU MIGHT WORK ON:
Extend the compute API so a new kind of behavioral question can be expressed.
Propose and Move a set of query paths onto a new internal representation, with parity testing and a safe rollout so that future improvements can be done safely.
Add observability and SLO tracking to a part of the compute layer that doesn’t have it yet.
Profile and speed up a slow query pattern reported by a product team.
SKILLS YOU’LL NEED TO BRING:
Backend engineering fundamentals: You have 2–4 years of experience building and running production services. You write clear, tested code and can reason about failure, retries, and correctness in data-intensive systems.
Thoughtful problem-solving: You start by understanding the context, decompose tricky problems, and work toward a clean solution. You ask clarifying questions before diving in.
Ownership of quality: You instrument your code, verify outcomes before calling work done, and respond quickly when something you shipped breaks.
Clear communication: You flag risks early, explain decisions in writing and in conversation, and give and receive feedback openly.
Customer curiosity: You ask what problem a customer is trying to solve before you start building. You use Amplitude yourself, can explain it to others, and care whether the feature you shipped made someone’s work better.
Fluency with AI-assisted engineering: You use AI to speed up learning, exploration, and testing while taking responsibility for understanding and validating the result.
A habit of learning and improving: You seek out feedback, act on it, and can point to specific things you got better at recently. You’re curious about how the system works around the layers you’re working on.
NICE TO HAVES:
Experience with query engines, columnar or analytical databases, or large-scale data processing.
Experience with observability, SLOs, and oncall for a production service.
Side projects, writing, or talks that show you learn in public.
HOW WE WORK:
Ship fast. We create clarity in ambiguity through action. We favor prototypes, MVPs, and incremental milestones over long planning cycles, and we escalate when a decision is stuck.
Value impact over effort. We tie every initiative to team, organization, and company goals, and we reshape or stop work when the expected impact no longer justifies it.
Company > team > me. We make decisions for the whole organization, share credit generously, and invest in the growth of the engineers around us.
Take responsibility. We set and meet measurable quality bars, own our SLOs, and build a no-blame culture where failures turn into organizational learning.
Own the product experience. We treat customer success as our job, not the job of the teams in front of us.
#LI-hybrid
We are committed to equal employment opportunity in both principle and as a matter of policy. We will recruit, hire, train, promote, compensate and provide benefits to all applicants and employees without regard to ancestry, sex, race, color, ethnicity, national origin, gender, age, religion, religious creed, mental and/or physical disability, medical condition, military and/or veteran’s status, genetic information, marital status, sexual orientation, gender identity and/or expression, or any other basis protected by applicable federal, state and local laws. This policy applies to all recruiting, hiring, promotions, upgrades, layoffs, compensation, benefits, terminations and all other privileges, terms and conditions of employment. The firm complies fully with all federal, state and local equal employment opportunity laws.
This role is eligible for equity, benefits and other forms of compensation.
Based on Colorado law, the following details are for individuals who will work for Amplitude in Colorado: Colorado range: $86,000 - $118,000 base salary (inclusive of bonus or commission)
Based on legislation in New York City, the following details are for individuals will work for Amplitude in New York City: New York City salary range: $95000 - $131,000 base salary (inclusive of bonus or commission)
Based on legislation in California, the following details are for individuals who will work for Amplitude California: California salary range: $95000 - $131,000 base salary (inclusive of bonus or commission)
Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington state: Washington salary range:
base salary (inclusive of bonus or commission)
Based on legislation in Washington state, the following details are for individuals who will work for Amplitude in Washington only: unlimited PTO, 10 to 13 holidays annually (will vary), medical dental and vision PPO and CDHP plans. Finally, a company sponsored 401(k) retirement plan.
At Amplitude, our values guide how we show up for one another and for our customers:
Humility: We operate from a place of empathy and openness, seeking to understand many points of view.
Ownership: We take the initiative to solve problems that drive our shared company success.
Growth Mindset: We’re tenacious in the face of challenges and seek feedback in order to grow ourselves and others.
Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.
We care about the well-being of our team: We offer competitive pay and benefits packages that reflect our commitment to the health and well-being of our Ampliteers.
Some of our benefit programs include:
Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
Flexible time off, paid holidays, and more
Generous stipends to spend on what matters most to you, whether that’s wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions
Employee Stock Purchase Program (ESPP)
Other fun facts about Amplitude:
Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
We care a lot about product innovation. We've made significant investments in talent and infrastructure to build the most powerful AI analytics platform on the market.
We invest in our people. We offer mentorship programs, management training, and wellness initiatives.
We give back to our communities. We give every Ampliteer a charitable giving grant and paid volunteer time off.
We were founded in 2012, went public via a direct listing in September 2021, and are now trading under the ticker $AMPL.
We’re a global and fast-growing team! We have employees around the world and offices in San Francisco (HQ), New York, Vancouver, Amsterdam, London, Paris, Singapore, and Tokyo.
Our mascot is Data Monster, who loves to chow down on numbers, charts, and graphs. Nom nom.
By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice.
Field: Technology Sub-niche: Data, analytics and AI All jobs at Amplitude Jobs in California Jobs in San Francisco, CA San Francisco city guide California state guide San Francisco County economy
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This is a — role in the Technology field (Data, analytics and AI) at Amplitude.
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 San Francisco, CA. Below is what the official statistics say about living and working there.
How San Francisco compares. Among the 145 largest places in California, San Francisco is #4 by population, #139 for homeownership (#1 = highest), #20 for remote work (#1 = most), #25 for college degrees (#1 = most). Its county, San Francisco County, is #3 of 58 counties for average pay ($174,103).
San Francisco has 830,235 residents (ACS 2020–2024), about 2.1% of the population of California. It covers 47 square miles of land, which works out to roughly 17,784 people per square mile. The median age is 40.0, 6% older than the state median (40.0 against 37.9).
The median gross rent is $2,476 a month (rent plus utilities), 22% above the state median ($2,476 against $2,036). Over a year that is 21.1% 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 $1,394,500, which is 9.9 times the median household income ($140,970); a ratio above 5 usually means buying is out of reach without savings or a second income. 38.2% of households own their home, 32% below the state average (38.2% against 55.9%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
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 Francisco County was 4.0%. 69.6% of residents aged 16 and over are in the labour force. The city lies in San Francisco County; its jobs, pay by industry and GDP are on the county page.
Among workers, 28.6% drive alone, 18.7% use public transit, 9.3% walk, 31.0% work from home. 21.6% of workers commute 45 minutes or more, 11% above the state average (21.6% 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.
60.3% of adults aged 25 and over hold a bachelor's degree or higher, 63% above the state share (60.3% against 37.1%). 34.0% of residents were born outside the United States, 26% above the state share (34.0% against 27.0%). The poverty rate is 11.2%, 7% below the state rate (11.2% against 12.0%).
The warmest month is Sep, averaging 59°F (14.9°C), and the coolest is Apr at 53°F (11.6°C). About 515 mm (20 inches) of precipitation falls in a year; Dec is the wettest month (112 mm) and Jul the driest (2 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: Daly City (31 miles, rent 3% higher); Pacifica (31 miles, rent 25% higher); San Bruno (34 miles, rent 12% higher); Millbrae (36 miles, rent 32% higher). Rent differences are against San Francisco; use the Compare tab to put any two cities side by side.
Full guide to San Francisco →California guideAll jobs in San Francisco
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Places within 50 miles (straight line) of San Francisco, CA that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| Place ⇅ | Distance from the job city ⇅ | Median rent ⇅ | Median home value ⇅ | Median household income ⇅ | Commute 45+ min ⇅ | Rent as % of occupation pay ⇅ | Open jobs there ⇅ |
|---|---|---|---|---|---|---|---|
| San Francisco, CA | 0 mi | $2,476 | $1,394,500 | $140,970 | 21.6% | n/a | Jobs |
| Daly City, CA | 31 mi | $2,551 | $1,115,000 | $123,547 | 19.6% | n/a | Jobs |
| Pacifica, CA | 31 mi | $3,098 | $1,249,800 | $160,523 | 15.5% | n/a | — |
| San Bruno, CA | 34 mi | $2,773 | $1,207,500 | $141,272 | 12.2% | n/a | — |
| Millbrae, CA | 36 mi | $3,272 | $1,934,900 | $163,476 | 21.8% | n/a | Jobs |
| Brisbane, CA | 36 mi | $2,574 | $1,232,200 | $156,169 | 29.8% | n/a | — |
| South San Francisco, CA | 36 mi | $2,802 | $1,188,800 | $136,578 | 15.2% | n/a | Jobs |
| Half Moon Bay, CA | 37 mi | $2,433 | $1,549,500 | $157,884 | 26.7% | n/a | — |
| Burlingame, CA | 38 mi | $2,785 | $2,000,001 | $174,000 | 23.1% | n/a | Jobs |
| Richmond, CA | 40 mi | $1,960 | $668,200 | $95,391 | 28.8% | n/a | — |
| San Mateo, CA | 41 mi | $3,077 | $1,618,700 | $153,504 | 15.8% | n/a | Jobs |
| Berkeley, CA | 41 mi | $2,133 | $1,413,900 | $108,092 | 20.8% | n/a | Jobs |
| Alameda, CA | 42 mi | $2,474 | $1,235,700 | $137,697 | 27.3% | n/a | Jobs |
| Belmont, CA | 43 mi | $2,875 | $2,000,001 | $205,297 | 18.6% | n/a | Jobs |
| Oakland, CA | 44 mi | $1,979 | $929,900 | $101,600 | 21.9% | n/a | Jobs |
| Foster City, CA | 44 mi | $3,501 | $1,838,200 | $199,143 | 20.6% | n/a | Jobs |
| San Carlos, CA | 45 mi | $2,854 | $2,000,001 | $237,470 | 14.9% | n/a | Jobs |
| Redwood City, CA | 47 mi | $2,968 | $1,801,700 | $157,814 | 10.2% | n/a | Jobs |
| San Leandro, CA | 48 mi | $2,186 | $844,200 | $101,420 | 23.7% | n/a | — |
| Atherton, CA | 49 mi | $3,501 | $2,000,001 | $250,001 | 7.0% | n/a | — |
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 (713) Software engineering (4089) Cloud, IT and infrastructure (1040) Product management (836)
How far San Francisco, CA is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| San Francisco, CA | 0 mi | 830,235 |
| San Jose, CA | 73 mi | 990,138 |
| Los Angeles, CA | 364 mi | 3,857,263 |
| San Diego, CA | 475 mi | 1,389,526 |
| Phoenix, AZ | 678 mi | 1,642,323 |
| Seattle, WA | 684 mi | 754,195 |
| Denver, CO | 986 mi | 718,877 |
| Oklahoma City, OK | 1,420 mi | 697,125 |
| Fort Worth, TX | 1,484 mi | 963,194 |
| Dallas, TX | 1,515 mi | 1,307,930 |
| San Antonio, TX | 1,516 mi | 1,479,835 |
| Austin, TX | 1,530 mi | 979,539 |
| Houston, TX | 1,673 mi | 2,328,253 |
| Chicago, IL | 1,885 mi | 2,711,226 |
| Indianapolis, IN | 1,979 mi | 885,860 |
| Columbus, OH | 2,142 mi | 914,802 |
| Charlotte, NC | 2,332 mi | 903,844 |
| Jacksonville, FL | 2,403 mi | 977,670 |
| Philadelphia, PA | 2,550 mi | 1,579,706 |
| New York, NY | 2,602 mi | 8,483,844 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Alameda, CA | 42 mi | 38 |
| Belmont, CA | 43 mi | 2 |
| Redwood City, CA | 47 mi | 45 |
| Palo Alto, CA | 54 mi | 298 |
| Sunnyvale, CA | 60 mi | 83 |
| Fremont, CA | 62 mi | 6 |
| Pleasanton, CA | 63 mi | 6 |
| Milpitas, CA | 66 mi | 2 |
| Campbell, CA | 67 mi | 7 |
| San Jose, CA | 73 mi | 698 |
| Capitola, CA | 79 mi | 1 |
| Sacramento, CA | 103 mi | 53 |
Amplitude is the employer in this listing. See all its open jobs here →
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A private-sector role in technology (data, analytics and ai) listed 4 days ago. The full description is on this page and on the employer's page.
San Francisco, CA. A remote or flexible location is listed; confirm with the employer which states are accepted.
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The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in San Francisco is $2,476 a month and median household income $140,970 (ACS 2020–2024).
It was posted on 2026-11-05 (4 days ago). Jobs older than 90 days are not shown.
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