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Chatbot Support Jobs in California (NOW HIRING)

Harvey

Support Operations Data Analyst

San Francisco, CA · On-site

$112K - $168K/yr

Track ticket deflection, AI/chatbot performance, and self-service effectiveness * Measure the impact of AI-driven support - containment rate, escalation rate from AI interactions, resolution quality ...

Harvey

Support Operations Engineer

San Francisco, CA · On-site

$124K - $185K/yr

Working alongside the Support Systems Administrator (platform infrastructure and config) and the Support Operations Lead (Zendesk-native features including Copilot and Chatbot), your lane is ...

Snapchat

People Application Developer

Palo Alto, CA · On-site

Design and develop middleware solutions for chatbot integration, including writing custom code ... Experience building or supporting applications within an HR technology or People Operations ...

Snap, Inc.

People Application Developer

Palo Alto, CA · On-site

Design and develop middleware solutions for chatbot integration, including writing custom code ... Experience building or supporting applications within an HR technology or People Operations ...

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All JobsChatbot Support JobsChatbot Support Jobs in California

Chatbot Support information

See California salary details

$16

$39

$67

How much do chatbot support jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for chatbot support in California is $39.35, according to ZipRecruiter salary data. Most workers in this role earn between $29.18 and $46.01 per hour, depending on experience, location, and employer.

What is a chatbot support?

A Chatbot Support job involves managing and optimizing chatbot interactions to assist users efficiently. Responsibilities typically include troubleshooting chatbot issues, refining responses, and improving user experience. This role may also involve analyzing chatbot performance data and collaborating with developers to enhance functionality. Strong communication skills and familiarity with AI or NLP technologies can be beneficial.

What does a chatbot support do?

As a Chatbot Support professional, you will spend your day monitoring chatbot conversations, troubleshooting user issues, and escalating complex queries to human agents when necessary. You'll also analyze conversation logs to identify recurring problems, update knowledge base articles, and suggest improvements for better user experience. Collaborating closely with technical teams and customer service departments is common to ensure seamless chatbot performance. This role offers a dynamic work environment where your contributions can have a direct impact on customer satisfaction and the continuous improvement of automated support systems.

What are the key skills and qualifications needed to thrive in chatbot support?

To thrive as a Chatbot Support professional, you need strong written communication skills, problem-solving abilities, and familiarity with customer service protocols. Experience with chatbot management platforms, CRM systems, and basic knowledge of troubleshooting chat solutions is often required. Patience, adaptability, and a customer-focused mindset help individuals excel in this role. These skills are crucial for ensuring efficient and effective support to users interacting with automated systems while maintaining high customer satisfaction.

What are popular job titles related to Chatbot Support jobs in California?

For Chatbot Support jobs in California, the most frequently searched job titles are:

What job categories do people searching Chatbot Support jobs in California look for?

The top searched job categories for Chatbot Support jobs in California are:

What cities in California are hiring for Chatbot Support jobs?

Cities in California with the most Chatbot Support job openings:

Chatbot Support jobs near you
Infographic showing various Chatbot Support job openings in California as of August 2026, with employment types broken down into 2% Internship, 77% Full Time, 2% Part Time, 2% Temporary, and 17% Contract. Highlights an 72% In-person, 5% Hybrid, and 23% Remote job distribution, with an average salary of $81,844 per year, or $39.3 per hour.

Support Operations Data Analyst

Harvey

San Francisco, CA • On-site

$112K - $168K/yr

Full-time

Re-posted 7 days ago

Job description

Why Harvey
At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today - and we're just getting started.
Role Overview
User Operations runs on data - but right now, that data lives in too many places, speaks too many languages, and reaches the wrong people too late. This role exists to fix that.
As Harvey's first Support Operations Data Analyst, you'll own the analytics function for the User Operations org. You'll build and maintain the dashboards, reports, and feedback loops that tell us whether we're hitting our north stars - cSAT, TTR, QA scores, escalation rates - and surface the signal underneath the numbers so we can act on it. You'll sit within the Support Operations team, reporting to the Support Operations Manager, and work closely with User Operations leadership and Harvey's central data team to ensure the org is equipped with the right instrumentation as we scale.
This is a solo role. You won't have a team beneath you. You will need to be fluent enough in support analytics to hold the function independently, confident enough to push back on how metrics are framed, and fast enough to operate at Harvey's pace.
What You'll Do
  • Own recurring reporting for User Operations - weekly, monthly, and QBR-ready - tailored to ops, leadership, and cross-functional audiences
  • Translate support data into clear narratives: what's happening, why, and what to do about it
  • Track and maintain north star metrics: cSAT, TTR by tier, QA scores, bug escalation rate to EPD, and First Response Time
  • Build and maintain self-serve dashboards that give the ops team and leadership real-time visibility into support performance
  • Partner with Support Systems to ensure Zendesk is instrumented to capture the data we need
  • Work with Harvey's central data team to connect support data to broader product and customer data sources
  • Identify and close data collection gaps - if we can't measure it, help define how we should
  • Design feedback loops that connect support signals to Product, Engineering, and Customer Success
  • Quantify the operational cost of product bugs, feature gaps, and onboarding failures
  • Contribute to QA analytics as the QA program matures
  • Track ticket deflection, AI/chatbot performance, and self-service effectiveness
  • Measure the impact of AI-driven support - containment rate, escalation rate from AI interactions, resolution quality - and surface findings that drive how we tune and invest in those tools
  • Support ad hoc analytical requests from the Support Operations Manager, User Operations leadership, and senior stakeholders

What You Have
Required
  • 3-5 years of experience in analytics, with at least 2 years directly in support operations, customer success operations, or a closely adjacent function
  • Fluency in support platform data - you know how Zendesk (or equivalent) is structured, what data it produces, and what it doesn't
  • SQL proficiency - you can write complex queries against large datasets without hand-holding (CTEs, window functions, joins across schemas)
  • Dashboard experience - you've built and maintained operational dashboards in Looker, Tableau, Sigma, Omni, or equivalent
  • Reporting for multiple audiences - you know the difference between what a frontline manager needs and what a CFO needs, and you build accordingly
  • Strong data storytelling - you don't just present numbers, you write the narrative
  • Comfort operating solo - you don't need a team around you to deliver, and you don't need a ticket to tell you what to look at

Strong Plus
  • Experience with Python for data manipulation or automation
  • Familiarity with dbt or similar data transformation tooling
  • Experience building or contributing to QA analytics programs
  • Background supporting enterprise SaaS or AI-native products
  • Experience working with Zendesk APIs or extracting data beyond standard reporting

Key Attributes
  • AI-native: you use AI tooling actively in your analytical workflows - not as a novelty, but as a force multiplier
  • Pace: you move in hours and days, not weeks. You surface findings before anyone has to ask
  • Judgment: you know which metrics matter and which are vanity. You push back when framing is wrong
  • Clarity: your outputs are direct, jargon-free, and actionable. You write for the reader, not yourself
  • Ownership: you treat User Operations analytics as your problem to solve, not a ticket queue to process

Compensation
$112,000 - $168,000 USD
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-ML1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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