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Chatbot Engineer Jobs in Massachusetts (NOW HIRING)

Not a chatbot that answers questions an agent with its own workspace, that does the work: pulls the ... developer. It's built inside Ahrefs, which gives it something almost no AI product has: fifteen ...

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Chatbot Engineer information

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$42.6K

$111.1K

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How much do chatbot engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for chatbot engineer in Massachusetts is $111,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,700.00 and $127,200.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a chatbot engineer?

As a Chatbot Engineer, your typical day involves designing, developing, and maintaining chatbot applications, collaborating closely with UX/UI designers and product managers to define conversational flows. You will also troubleshoot issues, optimize algorithms for better user understanding, and continuously improve the chatbot's performance by analyzing user interactions and feedback. Additionally, you may participate in testing and deploying new features, integrating chatbots with third-party tools, and staying updated on the latest trends in conversational AI. This role often requires balancing technical execution with a strong focus on user experience and business goals.

What are the key skills and qualifications needed to thrive as a chatbot engineer?

To thrive as a Chatbot Engineer, you need strong programming skills (often in Python or JavaScript), familiarity with machine learning concepts, and experience in natural language processing (NLP), typically supported by a computer science degree or relevant certification. Proficiency with conversational AI platforms (such as Dialogflow, Rasa, or Microsoft Bot Framework) and cloud services is essential, and certifications in these tools can be advantageous. Creative problem-solving, excellent communication, and a user-centric mindset are key soft skills for success in this role. These abilities help ensure that chatbot solutions are technically robust, user-friendly, and effectively meet business and user needs.

What is a chatbot engineer?

A Chatbot Engineer is a software developer who designs, builds, and maintains chatbot applications. They use natural language processing (NLP), artificial intelligence (AI), and various programming languages to create bots that automate conversations and improve user interactions. Their responsibilities include developing chatbot logic, integrating with APIs, testing for accuracy, and optimizing performance. Chatbot Engineers work closely with data scientists, UX designers, and business teams to ensure the chatbot meets user needs.

What are popular job titles related to Chatbot Engineer jobs in Massachusetts?

For Chatbot Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Chatbot Engineer jobs in Massachusetts look for?

The top searched job categories for Chatbot Engineer jobs in Massachusetts are:

Infographic showing various Chatbot Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $111,126 per year, or $53.4 per hour.

Head of Performance Marketing - Letaido

Ahrefs

Cambridge, MA

Full-time

Posted 4 days ago


Job description

About Letaido

Letaido is an AI teammate for marketing teams. Not a chatbot that answers questions, an agent with its own workspace, that does the work: pulls the data, builds the tool, writes the report, ships the page, and keeps it running on a schedule.

Ask it for a content gap analysis and it queries Ahrefs directly. Ask it to track competitor ads and it builds you an app for that and keeps it updated. It connects to the systems marketers already live in HubSpot, Slack, Notion, Google Ads, Search Console, Stripe and around fifty others, and it can stand up a public site or an internal dashboard without a developer.

It's built inside Ahrefs, which gives it something almost no AI product has: fifteen years of web crawling infrastructure, petabytes of first-party index data, and no investors setting the timeline.

We are Ahrefs, a bootstrapped company that builds SEO and marketing tools used by hundreds of thousands of professionals worldwide. We've been profitable and independent for fifteen years, which means we answer to our users rather than to investors.

The role

You'll own paid acquisition for Letaido from the first dollar, the strategy, the money, the creative and the measurement.

We're not looking for a media buyer. Anyone can run a campaign; the hard part is knowing which audience is worth reaching, what to say to them, and whether the spend actually caused anything. That means living in the data, forming a real point of view about who our buyers are and where their attention is, and turning that into creative that earns the click.

The other half of the job is other people. The best-performing ad we run will probably come from something the content team already made, a demo the product marketer filmed, a partner's audience, or a question support keeps getting asked. You'll be the person who spots that, pulls it into the ad account, and gives the credit back.

It's hands-on and foundational at the same time. There's no account to inherit and no agency to brief - you'll be in the platforms daily to start with, and what you prove out becomes how we do paid from then on.

You'll report directly to the Head of Letaido, so the distance between your idea and a decision is one conversation.

This role is based out of one of our US offices - Palo Alto or Cambridge (MA). You can be based in whichever of these you have the legal right to work in, but this is an on-site role: we're looking for someone who'll be in the office with the team.

What you'll do
  • Own paid acquisition end to end - channel strategy, budget allocation, targeting, creative direction and measurement.
  • Build a real audience thesis. Who's worth paying to reach, what they already believe, and what would change their mind. Then test whether you're right.
  • Run creative as a system, not a series of one-offs. Maintain a library of hooks and angles, brief against evidence rather than instinct, and keep a testing cadence that produces answers instead of opinions.
  • Own the measurement honestly. CAC, payback, incrementality - and the judgement to tell a channel that's genuinely working from one that's taking credit for demand we already had.
  • Pull the rest of the company into the ad account. Content, product marketing, partnerships, support and the product team all hold raw material that makes ads better. Your job is to find it and use it.
  • Feed learnings back out. What converts in paid is evidence about positioning, and the rest of marketing should hear it.
  • Decide when not to spend. We're bootstrapped, so the money is real and stopping something is as valuable as scaling it.
  • Use Letaido to build your own reporting and analysis, and tell the team where it falls short.
You'll thrive here if
  • You've built a paid programme from scratch rather than optimising one you inherited, and you can show what it cost and what it returned.
  • You're genuinely analytical. You can pull the data yourself, spot the thing that doesn't add up, and explain what it means without a dashboard doing the talking.
  • You have strong creative instincts and can brief them. You know why an ad worked, not just that it did.
  • You've killed a channel that looked good on a dashboard, and can explain how you knew.
  • You work well across teams. The best inputs to paid come from people who don't report to you, and you'd rather borrow a good idea than protect a budget.
  • You're comfortable being hands-on in the platforms for a while, and comfortable that the money is finite.
  • You want to be in a room with the team. This is a small group doing early-stage work, and that goes better in person.
Bonus
  • Experience marketing developer tools, marketing tools, or anything sold to practitioners.
  • You've worked with AI agents or LLM tooling seriously enough to have opinions about where they're genuinely useful.
  • You've run paid for a self-serve product as well as a sales-assisted one.
  • You can build your own reporting rather than wait for someone else's.
  • You've worked with creators, communities or newsletters as paid channels, not just the big platforms.
What we offer
  • A channel to build from scratch, and the authority to run it your way
  • Direct line to the Head of Letaido - small team, few layers, quick decisions
  • The data and tooling of a fifteen-year-old SEO company behind an early-stage product
  • Colleagues worth borrowing from - content, video, product marketing and partnerships all in the same building
  • Daily use of the thing you're marketing, and a direct line to the people building it
  • Annual company retreat (usually skiing)
  • Conference and learning budget
  • A properly equipped office, and lunch on us

Location: Palo Alto or Cambridge (MA) - on-site