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Chatbot Product Manager Jobs in California (NOW HIRING)

Nexxa.ai

Product Manager

San Francisco, CA · On-site

Product Manager Platform for Heavy Industries | SF Bay Area ABOUT NEXXA Nexxa.ai is building ... Build the AI operating system for industry - not another chatbot, not another dashboard, but the ...

AmaWaterways, LLC

Digital Product Manager

Calabasas, CA · On-site

... chatbot - to ensure alignment with business objectives. * Product Development: Draft detailed ... Project Management: Manage timelines, budgets, and deliverables for assigned projects, ensuring ...

Two Dots

Chatbot Engineer

San Francisco, CA · On-site

... automate product judgment, such as using chatbots to roleplay users instead of relying only on ... context management • Ability to differentiate between workflow that makes LLM calls and true ...

eBay, Inc.

AI Analytics Product Manager

San Jose, CA · On-site

$188K - $252K/yr

Experience designing or managing AI-first or LLM-enabled products (such as chatbot-style or agentic experiences), including prompt flows, retrieval strategies, and feedback loops for continuous ...

Tata Consultancy Service Limited

Product Owner

Irvine, CA · On-site

$120K - $150K/yr

... chatbot layer (if applicable) • Email / notifications / manager tools • Ensure a consistent and cohesive experience layer, even across multiple systems • Prototyping & Iteration • Create: • ...

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All JobsChatbot Product JobsChatbot Product Manager JobsChatbot Product Manager Jobs in California

Chatbot Product Manager information

See California salary details

$50.8K

$157.3K

$194.4K

How much do chatbot product manager jobs pay per year?

As of Aug 31, 2026, the average yearly pay for chatbot product manager in California is $157,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,200.00 and $194,400.00 per year, depending on experience, location, and employer.

What does a Chatbot Product Manager do?

A Chatbot Product Manager oversees the development and improvement of chatbot products, ensuring they meet user needs and business goals. They work closely with designers, engineers, and data scientists to define product requirements, prioritize features, and monitor performance metrics. Their responsibilities include researching user behavior, managing project timelines, and incorporating feedback to enhance the chatbot's effectiveness and user experience. Ultimately, they act as the bridge between technical teams and stakeholders to deliver successful chatbot solutions.

What are the key skills and qualifications needed to thrive as a Chatbot Product Manager, and why are they important?

To thrive as a Chatbot Product Manager, you need expertise in product management, UX/UI design principles, and a solid understanding of conversational AI, typically supported by a degree in computer science, business, or a related field. Familiarity with chatbot development frameworks, analytics platforms, and agile project management tools is essential. Strong communication, stakeholder management, and creative problem-solving skills set top performers apart in this role. These skills ensure successful product delivery, user satisfaction, and the ability to bridge technical and business requirements effectively.

What are some common challenges a Chatbot Product Manager faces when working with cross-functional teams?

A Chatbot Product Manager often navigates the challenge of aligning diverse stakeholders, such as engineers, designers, data scientists, and customer support, to ensure the chatbot meets both business goals and user needs. Communication is key, as technical requirements, user experience, and business objectives must all be balanced in a rapidly evolving AI landscape. Additionally, managing expectations around the chatbot’s capabilities and ensuring continuous improvement based on user feedback can be complex but rewarding. Successfully overcoming these challenges often leads to a more robust, user-friendly product and strong professional relationships across departments.

What is the difference between Chatbot Product Manager vs Chatbot Business Analyst?

AspectChatbot Product ManagerChatbot Business Analyst
Primary FocusOversees chatbot development, strategy, and product lifecycleAnalyzes business needs, gathers requirements, and improves chatbot functionality
Required SkillsProduct management, UX design, technical understandingBusiness analysis, data analysis, communication skills
Work EnvironmentCross-functional teams, product teams, tech companiesBusiness units, project teams, consulting firms
Common CertificationsCertified Scrum Product Owner, PMP, AI certificationsCBAP, CCBA, business analysis certifications

While both roles involve working with chatbots, the Chatbot Product Manager focuses on product strategy, development, and lifecycle management. In contrast, the Chatbot Business Analyst concentrates on analyzing business needs, gathering requirements, and optimizing chatbot performance based on data and user feedback.

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

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

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

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

What cities in California are hiring for Chatbot Product Manager jobs?

Cities in California with the most Chatbot Product Manager job openings:

Chatbot Product Manager jobs near you
Infographic showing various Chatbot Product Manager job openings in California as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $157,317 per year, or $75.6 per hour.

Product Manager

Nexxa.ai

San Francisco, CA • On-site

Full-time

Re-posted 3 days ago

Job description

Product Manager
Platform for Heavy Industries | SF Bay Area
ABOUT NEXXA
Nexxa.ai is building artificial super intelligence for heavy industries - enabling machines, systems and operations to think, decide and act autonomously across manufacturing, large-scale infrastructure, logistics and legacy environments. Our mission is to translate deep technical breakthroughs into operational reality, solving some of the hardest systems-level problems in industry.
THE ROLE
We're looking for a rock-start enterprise software experienced Product Manager to work on the NitroOS platform. You'll work at the intersection of AI, heavy industries and business operations to define what we build, how it evolves, and how it scales aligned to the vision. This is not a feature factory role. You'll be making architecture-level product decisions that shape how Fortune 100 companies adopt AI in their operations.
WHAT YOU'LL DO
  • Own the platform product roadmap - prioritize features, define milestones, and drive from PRD through GA release
  • Write detailed PRDs with acceptance criteria, success metrics, and technical constraints, collaborating closely with engineering and design
  • Translate customer deployment learnings into platform capabilities - identify patterns across customers and abstract them into reusable platform features
  • Define and track product KPIs: adoption, engagement, time-to-value, feature utilization across modules (AI assistant, customer UI, intelligence graph, agent workflows)
  • Run feature prioritization, sprint planning and backlog grooming with core engineering, ensuring delivery stays aligned to deliverable milestones
  • Partner with the engineering stakeholders on platform architecture decisions - understanding trade-offs between customer-specific customization and platform scalability
  • Conduct competitive analysis against industrial AI platforms and inform product positioning

WHAT WE'RE LOOKING FOR
  • 2-4 years of product management experience, with at least 2 years on an enterprise platform product
  • Experience building developer platforms, data platforms, or enterprise workflow tools - you understand APIs, integrations, and platform extensibility
  • Strong technical fluency - you can read architecture diagrams, discuss data models, and hold your own in engineering design reviews
  • Experience with interest in heavy industries (manufacturing, supply chain, energy, logistics) - you're energized by complexity, not intimidated by it
  • Track record of shipping products from 0→1, not just iterating on mature products
  • Experience with AI/ML products - prompt engineering, agent workflows, RAG systems, LLM-powered features
  • Excellent written communication - your PRDs are clear, your roadmaps are crisp, your stakeholder updates are concise
  • Comfort with ambiguity - we're a seed-stage company building in a new category. You'll define the playbook, not follow one.

NICE TO HAVE
  • Prior experience at a startup that scaled from seed to Series B+
  • Domain expertise in manufacturing operations, supply chain, or industrial engineering
  • Familiarity with Confluence, Jira, Figma, and modern product tooling

WHY NEXXA
  • Build the AI operating system for industry - not another chatbot, not another dashboard, but the intelligence layer that changes how Fortune 100 companies run their operations
  • Work directly with the CPO and CTO - your ideas will ship in weeks, not quarters
  • Backed by silicon valley top VCs with access to their portfolio network, recruiting, and GTM resources
  • Early-stage equity with real upside.

Apply