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No Code Chatbot Jobs (NOW HIRING)

$150 - $200/hr

As chatbot resolution matures, you'll set the strategy for how we prioritize and structure content ... Build functional internal tools using no-code/low-code platforms (such as Lovable) to solve real ...

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

The role does not require software development expertise, but it does require comfort configuring and improving no-code or low-code AI and chatbot solutions, partnering with Digital/IT teams, and ...

Conversational AI Specialist

West Chester, OH · On-site

$16 - $21.25/hr

The role does not require software development expertise, but it does require comfort configuring and improving no-code or low-code AI and chatbot solutions, partnering with Digital/IT teams, and ...

FLEX Director, Solution Architect

Bethesda, MD · Remote

$67.25 - $88.50/hr

... agent chatbot solutions including (but not limited to) Microsoft Copilot, Moveworks, Amazon Lex, ServiceNow Virtual Agent * Experience with planning solutions focused on low code/no code ...

Define chatbot scope, target users, and success metrics. * Collaborate with stakeholders to ... Hands-on experience with no-code design tools such as Publishing/Wiki pages, Master Pages, CSS, and ...

Automation AI Developer

Washington, DC · On-site

$135K - $150K/yr

Define chatbot scope, target users, and success metrics. * Collaborate with stakeholders to ... Hands-on experience with no-code design tools such as Publishing/Wiki pages, Master Pages, CSS, and ...

Automation AI Developer

Washington, DC · On-site

$125 - $150/hr

Define chatbot scope, target users, and success metrics. * Collaborate with stakeholders to ... Design:Hands-on experience with no-code design tools such as Publishing/Wiki pages, Master Pages ...

Automation AI Developer

Washington, DC · On-site

$125 - $150/hr

Define chatbot scope, target users, and success metrics. * Collaborate with stakeholders to ... Design:Hands-on experience with no-code design tools such as Publishing/Wiki pages, Master Pages ...

Automation AI Developer

Washington, DC · On-site

$135K - $150K/yr

Define chatbot scope, target users, and success metrics. * Collaborate with stakeholders to ... Hands-on experience with no-code design tools such as Publishing/Wiki pages, Master Pages, CSS, and ...

... chatbot development, automation frameworks, and AI-based decision systems. • Knowledge of AI ... Preferred : • Certifications in AI/ML from Azure or AWS. • Experience with low-code/no-code AI ...

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No Code Chatbot information

See salary details

$67.5K

$118K

$184K

How much do no code chatbot jobs pay per year?

As of Sep 9, 2026, the average yearly pay for no code chatbot in the United States is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a no code chatbot?

A No Code Chatbot is a conversational AI tool that allows users to create and deploy chatbots without needing to write any code. These platforms provide drag-and-drop interfaces and pre-built templates, making it easy for individuals and businesses to design chatbots for customer service, lead generation, and other tasks. No code chatbots are ideal for people with little or no programming experience, enabling faster deployment and easier maintenance. They can be integrated with websites, messaging apps, and other digital channels to automate interactions with users.

What skills and qualifications are needed to thrive as a no code chatbot developer?

To thrive as a No Code Chatbot Developer, you need a solid understanding of logic flows, conversational design, and basic troubleshooting, often supported by experience with no-code platforms. Familiarity with tools like Chatfuel, ManyChat, or Dialogflow, as well as integrations with messaging apps and CRMs, is typically required. Strong problem-solving, creativity, and effective communication skills help tailor bots to user needs and collaborate with stakeholders. These abilities ensure the creation of user-friendly, impactful chatbots that drive business goals without extensive coding.

How does a no code chatbot developer typically collaborate with other teams within an organization?

No Code Chatbot developers frequently work closely with marketing, customer support, and IT teams to ensure the chatbot aligns with business goals and integrates smoothly into existing workflows. They gather requirements from stakeholders, customize chatbot flows based on user feedback, and coordinate with IT for deployment and troubleshooting. Regular collaboration ensures the chatbot delivers a seamless user experience and supports ongoing improvements as business needs evolve.

What is the difference between No Code Chatbot vs Chatbot Developer?

AspectNo Code ChatbotChatbot Developer
CredentialsMinimal technical skills, often no formal coding requiredProgramming skills, knowledge of APIs and scripting
Work EnvironmentOnline platforms, SaaS tools, cloud-based interfacesDevelopment environments, coding IDEs, server setups
Industry UsageBusiness owners, marketers, customer support teamsSoftware developers, AI specialists, technical teams
Search & Comparison IntentEase of use, quick deployment, no coding neededCustomization, advanced features, integration capabilities

In summary, No Code Chatbots are designed for users without programming skills to quickly create chatbots using visual interfaces. Chatbot Developers, on the other hand, possess coding expertise to build highly customized and complex chatbot solutions. The choice depends on your technical ability and project requirements.

What are popular job titles related to No Code Chatbot jobs?

For No Code Chatbot jobs, the most frequently searched job titles are:

Infographic showing various No Code Chatbot job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $118,044 per year, or $56.8 per hour.

AI Content Program Manager, Chatbot

On-site

Honeybook
Software Development • 51 - 200 employees

$150 - $200/hr

Other

Posted 7 days ago


Key responsibilities

  • Own the strategy and execution of the support chatbot, including configuring and maintaining it in the chatbot platform.

  • Support the full lifecycle of Help Center articles and internal Support documentation to ensure clear, accurate, and effective member and support agent guidance.

  • Analyze chatbot resolution data, identify content gaps, and drive content updates and restructuring to improve AI resolution rates.


Job description

HoneyBook is the leading AI-powered business management platform for service-based business owners. Designed to enhance - not replace - independent professionals. HoneyBook’s AI-powered tools help businesses attract leads, connect with clients, book projects, and manage payments more efficiently. With AI seamlessly integrated into every workflow, entrepreneurs can focus on their craft while scaling their businesses with confidence. Since its founding in 2013, HoneyBook has powered over 25 million client relationships and processed more than $12 billion in transactions, helping independent businesses grow faster and smarter.

Our culture is built on five core values that inform everything we do. We encourage collaboration, feedback, ownership, and maintain a growth mindset. We know experience comes in many forms - some visible on your resume, others not. No one candidate will be a 100% perfect match to our description, so if you thrive in a fast-paced, intellectually curious environment and have relevant experience, we encourage you to apply.

About the role

As an AI Content Program Manager, you'll sit within the Knowledge & Instructional Content team (KIC) that supports both our members (customers) and our Support Specialists. You'll own the strategy and execution of our support chatbot, the front line for how members get fast, accurate answers, and you'll support the full lifecycle of the Help Center articles and internal Support documentation that feed it.

You’ll set the direction for how our chatbot resolves member issues, from what it should be able to handle to how content gets structured so it can act on it, and you’ll build the Help Center content and Support documentation that equip Support Specialists with clear, dependable guidance across every channel. From building new content to optimizing existing workflows, your work will directly influence the clarity, consistency, and effectiveness of our member and agent experiences. Every article you publish, update, or structure directly determines how members get fast, accurate answers. AI resolution is one of the most important levers the team owns, and you're accountable for moving it. As chatbot resolution matures, you'll set the strategy for how we prioritize and structure content investment across the AI resolution funnel.

Here are a few of the things you will do
  • AI Resolution Strategy: Own the analysis of chatbot resolution data in partnership with Member Care and AI Operations, identify where content gaps are limiting AI resolution rates, drive the roadmap for what gets built, updated, or restructured next, and help evaluate whether a single-platform or multi-platform chatbot strategy best serves our members.
  • Chatbot Build & Configuration: Work directly in our chatbot platform (currently Intercom) to configure and maintain our support chatbot, and use Claude Code to build and maintain the data connectors that power it.
  • AI Process Innovation: Go beyond using LLMs for drafting, content gap analysis, and basic data synthesis. Identify where AI can change how the team works, and own the evaluation and rollout of new AI tools and workflows.
  • App Development: Build functional internal tools using no-code/low-code platforms (such as Lovable) to solve real team friction points. You'll ship internal tools frequently, with support and context from the team.
  • AI-Driven Content Strategy: Utilize Large Language Models (LLMs) for drafting, brainstorming, and basic data synthesis to accelerate content production.
  • Member-Facing Support: Support the creation, maintenance, and ongoing improvement of member-facing Help Center content that supports fast, accurate self-serve resolution.
  • Technical Documentation: Write clear, actionable technical how-tos and process documentation that guide members and Support Specialists to the most efficient and effective resolution.
  • Internal Governance: Help maintain internal Support documentation so it is clear, accurate, and structured for both human and AI-assisted resolution. In practice, this means writing procedures our Support bot can act on, documenting decision logic for connector builds, and incorporating QA findings into content revisions, as well as human-readable accuracy. The quality of this documentation is a direct input to how effectively AI resolves member issues at scale.
  • Cross-Functional Collaboration: Own the working relationship with Member Care, Product, QA, Marketing, and cross-functional partners to anticipate content needs, set priorities, and ensure documentation reflects current product behavior.
Here is what we're looking for in a candidate
  • AI Expertise: You go beyond using AI tools like Gemini and Claude to draft and brainstorm. You understand how chatbot content architecture affects resolution rates, and you can bring informed opinions to conversations about AI strategy, not just execute against it. You can learn new tools quickly and are curious about how technology can make your content, and the systems it feeds, more effective.
  • Technical Fluency: You have hands‑on experience working in chatbot platforms such as Intercom (our current platform). You'll use Claude Code daily to build and maintain data connectors, so prior experience with it is ideal, though comparable experience with similar technical tools works too. You're comfortable owning the technical side of chatbot configuration, not just the content that feeds it.
  • Strong Communication: You possess strong writing skills and can take a complex product and make it easy to understand through structured, action-oriented documentation.
  • Data-Driven Mindset: You have an understanding of how analytics impact strategic decisions and guide content prioritization and search optimization. You are comfortable reviewing chatbot resolution data or Help Center analytics to identify gaps and prioritize what to write or update next.
  • Systems Thinking: You have a strong grasp of systems thinking and independently connect documentation to Support workflows and Member Care operations, spotting cross-team dependencies before they become blockers.
  • Efficiency & Growth: You love finding opportunities to improve existing content and can independently move projects forward while balancing multiple priorities.
The good stuff:
  • Mission-driven: You'll be joining more than just another startup. Our members’ success is at the heart of everything we do.
  • Impact: We move quickly and encourage every employee to push the envelope. Our best ideas come from out-of-the-box thinking and innovation; be ready to fail fast and often!
  • Compensation: We offer a competitive salary and meaningful equity grants.
  • Benefits & perks: From wellness programs to exceptional family leave policies, the health and happiness of our employees are foremost.
Our core values:
  • People come first: We prioritize people as we explore opportunities and work through challenges.
  • Raise the bar: We push for greatness—for ourselves, each other, and our members.
  • Own it: Trust and ownership let us make decisions with confidence.
  • We love what we do: We bring passion to our work and love what we create for our members.
  • Keep it real: Authenticity, respect, and transparency are at our core.

The opportunity at HoneyBook is huge. Our primary customers today are creative businesses that generate $150M in revenue per year in the US. Founded in 2013, HoneyBook is based in San Francisco and Tel Aviv, has raised $498M, and is funded by Tiger Global Management, Norwest Venture Partners, Aleph, Hillsven Capital, OurCrowd, Durable Capital Partners LP, Vintage Investment Partners, Battery Ventures, Citi Ventures, Zeev Ventures, and 01 Advisors.

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