Skip to main content
Orbyt
FeaturesComparePricingToolsDeveloperBlogSupport
Log inBegin

Product

FeaturesEverything Orbyt can doCompareOrbyt vs the competitionPricingPlans and pricing

Tools

Salary ExplorerResearch salaries by role and cityInterview PrepPractice with AI mock interviewsResume ScoreGet your resume scored by AIJob BoardBrowse open positionsAI Skills LabBuild job-ready AI skills

Company

AboutOur story and approachCreedHere’s to the relentless onesDeveloperMCP server and REST APILabsWhat we’re building nextBlogJob search tips and strategySupportHelp articles and guides
BeginAlready have an account? Log in
  1. Home/
  2. Salary/
  3. AI Analytics Engineer/
  4. San Francisco

AI Analytics Engineer.

San Francisco.

$192,000

median salary, 35% above the national average

$146,000 to $250,000. Updated for 2026.

Get your playbook

The numbers.

Everything you need to negotiate with confidence.

San Francisco is 35% more expensive than the national average. For AI Analytics Engineers, that shakes out to a median of $192,000, with the full range spanning $146,000 to $250,000. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Know the range before you walk in.

Salary range

25th Percentile

$146,000

per year

Median

$192,000

per year

75th Percentile

$250,000

per year

Tap to place your salary

$146,000$250,000

How San Francisco compares

San Francisco, CA

$192,000

Cost of living: 35% above average

National Average

$142,000

San Francisco is $50,000 above

What you should know

The AI Analytics Engineer landscape in San Francisco is not what most salary sites will tell you. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. The city's concentration of AI labs, SaaS companies, and fintech firms creates intense competition for talent. Despite remote work trends, SF still commands the steepest salary premiums for engineering and product roles. AI analytics engineers who build data models and dashboards for ML performance monitoring earn salaries driven by business impact and technical depth. Experience with experiment tracking, model monitoring, and A/B testing frameworks adds 10 to 15% to compensation. Companies in fintech and healthcare pay above-market rates for this role.

Junior AI analytics engineers start at $108,000 to $125,000. Mid-level engineers with 3 to 5 years reach $142,000 to $185,000. Senior analytics engineers earn $190,000 to $240,000, while analytics engineering managers and directors of ML analytics can command $250,000 to $320,000. In San Francisco, those numbers run higher. The cost of living here is 35% above average, and employers adjust to compete.

Base salary is not the full picture. Equity grants typically represent 10 to 20% of base salary at growth-stage companies. Annual bonuses range from 8 to 15%. Some firms offer profit-sharing arrangements, and remote work flexibility is common, though Bay Area-based roles pay 20 to 30% more. And on the tax side: california's top marginal state income tax rate is 13.3%, the highest in the U.S. San Francisco has no additional city income tax, but overall tax burden remains steep. When someone quotes you $192,000, ask what the total package looks like. The gap between base and total comp is where real money hides.

On negotiation: Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here. The range for AI Analytics Engineers in San Francisco runs from $146,000 to $250,000. That is not a narrow window. Where you land inside it depends almost entirely on whether you negotiate and how well you prepare.

Top industries in San Francisco

Software & SaaSArtificial IntelligenceFintechBiotechVenture Capital

Negotiating in San Francisco

Leverage competing offers aggressively. SF employers expect candidates to shop around, and matching or beating a rival offer is standard practice here.

Common questions.

AI analytics engineers earn 8 to 15% more than general analytics engineers due to their specialized focus on ML metrics, model performance tracking, and experiment analysis. The premium reflects the additional technical knowledge required to work effectively with data science teams.

Proficiency in dbt, Looker, and Snowflake forms the foundation, but experience with ML-specific tools like Weights and Biases, MLflow, and Great Expectations commands salary premiums. Python proficiency for custom analytics on model performance data is increasingly expected.

In 2026, the average AI Analytics Engineer salary in San Francisco, CA is $192,000. The 25th percentile sits at $146,000 and the 75th percentile reaches $250,000. Where you land depends on your experience, the company's size, and the specific skills you bring.

Entry level AI Analytics Engineer positions in San Francisco typically start near $146,000. Candidates with relevant internships, certifications, or portfolio work often negotiate closer to the median of $192,000. Junior AI analytics engineers start at $108,000 to $125,000.

Relevant certifications can add 5 to 15% to a AI Analytics Engineer's base salary in San Francisco. Specifically, ai analytics engineers who build data models and dashboards for ml performance monitoring earn salaries driven by business impact and technical depth. In a market where the range spans $146,000 to $250,000, certifications often bridge the gap between the 50th and 75th percentile.

Junior AI analytics engineers start at $108,000 to $125,000. Mid-level engineers with 3 to 5 years reach $142,000 to $185,000. Senior analytics engineers earn $190,000 to $240,000, while analytics engineering managers and directors of ML analytics can command $250,000 to $320,000. In San Francisco, each step up the ladder is amplified by the local cost of living multiplier, which means senior roles pay proportionally more than in lower cost markets.

San Francisco's cost of living is 35% above the national average. San Francisco is the epicenter of venture capital and startup innovation, consistently producing the highest tech salaries in the nation. Calculate your actual take home pay after housing, taxes, and transportation before deciding. A $192,000 salary here buys a different lifestyle than the same number in another market.

AI Analytics Engineer salary in other cities

Washington DC$178,000
Austin$146,000
Atlanta$145,000
Boston$173,000
Chicago$152,000
Charlotte$138,000

Other salaries in San Francisco

Account Executive$128,000
Accountant$97,000
AI Engineer$236,000
AI Product Manager$230,000

Related

Salary ExplorerInterview PrepResume ScoreJob Search Guide

Negotiating a AI Analytics Engineer offer?

Get a personalized playbook.

Begin.

Product

  • Features
  • Compare
  • Pricing
  • Support

For

  • Career Changers
  • New Graduates
  • Recently Laid Off
  • Senior Professionals
  • Remote Job Seekers
  • Burned Out

Free Tools

  • Interview Prep
  • Resume Score
  • Salary Explorer
  • AI Skills Assessment
  • AI Skills Lab
  • Job Board

Guides

  • Job Search Guide
  • Interview Prep Guide
  • Resume Guide

Compare

  • Orbyt vs Teal
  • Orbyt vs Huntr
  • Orbyt vs Jobscan
  • Orbyt vs LinkedIn
  • Orbyt vs Trello
  • Orbyt vs Notion
  • Orbyt vs Spreadsheets
  • Orbyt vs Simplify
  • Orbyt vs Careerflow
  • Orbyt vs ApplyArc
  • Orbyt vs Jobright
  • Orbyt vs Sprout

Developers

  • API Docs
  • Claude Desktop
  • OpenClaw
  • ChatGPT
  • Apple Shortcuts
  • Zapier

Connect

  • Refer a Friend
  • Recruiter Program

Company

  • About
  • Founder
  • Values
  • Creed
  • Labs
  • Blog

Account

  • Sign In
  • Sign Up
Orbyt

© 2026 Purecraft LLC  All rights reserved.

Privacy·Terms·Security·Accessibility·Status