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Chat Agent Jobs in Lawrence, MA (NOW HIRING)

... like chat, email, SMS, and beyond. We operate with high ownership, rapid iteration cycles, and a ... our agent experiences, and helping define how AI-powered customer engagement evolves at Klaviyo.

Senior Software Engineer - Customer Agent

Boston, MA · On-site

$133K - $175K/yr

... like chat, email, SMS, and beyond. We operate with high ownership, rapid iteration cycles, and a ... our agent experiences, and helping define how AI-powered customer engagement evolves at Klaviyo.

Senior Software Engineer, Customer Agent

Boston, MA · On-site

$133K - $175K/yr

... like chat, email, SMS, and beyond. We operate with high ownership, rapid iteration cycles, and a ... our agent experiences, and helping define how AI-powered customer engagement evolves at Klaviyo.

Call Center Agent

Lawrence, MA · On-site

$34K - $38K/yr

Call Center Agent Dinamic AS Group is seeking a professional and enthusiastic Call Center Agent to join our team in Lawrence, Massachusetts. In this role, you will communicate directly with customers ...

This includes building chat interfaces, agentic workflows, tool integrations, structured outputs ... Define agent state, memory, context management, validation rules, retry logic, and failure handling.

This includes building chat interfaces, agentic workflows, tool integrations, structured outputs ... Define agent state, memory, context management, validation rules, retry logic, and failure handling.

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Chat Agent information

See Lawrence, MA salary details

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How much do chat agent jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for chat agent in Lawrence, MA is $17.99, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $20.19 per hour, depending on experience, location, and employer.

What is a chat agent?

Chat Agents are customer service professionals who assist customers through online chat platforms. They handle inquiries, provide information about products or services, troubleshoot issues, and resolve customer concerns in real time. Chat Agents typically work for businesses in industries like e-commerce, technology, and telecommunications. Their main goal is to ensure customer satisfaction by delivering quick and accurate responses through text-based communication.

What does a chat agent do?

A chat agent works with customers to answer questions and provide real-time support for their concerns. In this career, you may work strictly with sales or troubleshoot technical issues. Your responsibilities include responding quickly through live chat and providing courteous and professional customer service. Your duties also typically involve email communication for following up with help tickets. You often train users on the correct use of a product or help them do minor repairs on their own. As a chat agent, you usually work in an office or call center with other team members.

What are the key skills and qualifications needed to thrive as a chat agent?

To thrive as a Chat Agent, you need excellent written communication skills, strong problem-solving abilities, and a high school diploma or equivalent. Familiarity with customer relationship management (CRM) platforms, live chat software, and typing proficiency are typically required. Patience, active listening, and adaptability help build rapport and efficiently address diverse customer concerns. These skills are crucial for delivering prompt, accurate, and positive customer experiences in a digital environment.

How does a chat agent typically collaborate with other departments to resolve customer inquiries?

Chat Agents often act as the first point of contact for customers, but resolving certain inquiries may require close collaboration with other departments, such as technical support, billing, or sales. It's common for Chat Agents to escalate complex issues or coordinate with subject matter experts to ensure customers receive accurate and timely solutions. Effective communication and documentation are key, as agents must relay customer concerns clearly and follow up on the status of escalated cases. This collaborative environment helps build a supportive team culture and ensures high-quality customer service.

What is the difference between Chat Agent vs Customer Service Representative?

AspectChat AgentCustomer Service Representative
CredentialsHigh school diploma or equivalent; training in chat softwareHigh school diploma or equivalent; training in customer service skills
Work EnvironmentOnline, remote or call center settings, primarily via chat platformsCall centers, retail stores, or office settings, via phone or in person
Industry UsageCommon in e-commerce, tech support, and online services

Chat Agents primarily handle customer inquiries through online chat platforms, focusing on quick, written communication. Customer Service Representatives may work via phone, in person, or chat, providing broader support. While both roles require strong communication skills, Chat Agents specialize in digital, text-based interactions, often in online environments, whereas Customer Service Reps may handle a wider range of customer issues across multiple channels.

How do you become a chat agent?

To become a chat agent, candidates typically need strong communication skills, basic computer literacy, and the ability to handle multiple conversations simultaneously. Many employers require a high school diploma or equivalent, and some may prefer prior customer service experience or familiarity with chat platforms and tools. Training is often provided by the employer after hiring.

What are the most commonly searched types of Chat Agent jobs in Lawrence, MA?

The most popular types of Chat Agent jobs in Lawrence, MA are:

What job categories do people searching Chat Agent jobs in Lawrence, MA look for?

The top searched job categories for Chat Agent jobs in Lawrence, MA are:

What cities near Lawrence, MA are hiring for Chat Agent jobs?

Cities near Lawrence, MA with the most Chat Agent job openings:

Infographic showing various Chat Agent job openings in Lawrence, MA as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $37,416 per year, or $18 per hour.

Senior Software Engineer, Customer Agent

Klaviyo

Boston, MA

$133K - $175K/yr

Full-time

Re-posted 27 days ago


Job description

About the Role

Our team is looking for a Senior Full Stack Engineer to help build the future of Customer Agent, Klaviyo's AI-native conversational platform. In this role, you'll play a critical part in shaping how autonomous service, AI-driven support, and agentic commerce experiences evolve at scale across millions of customer interactions.

You'll work across the stack to design, build, and scale systems that power intelligent workflows, conversational experiences, tools integrations, retrieval systems, onboarding flows, observability, and multi-channel customer engagement. You'll help develop both foundational platform capabilities and customer-facing experiences that enable brands to launch, customize, and continuously improve their own highly-configurable AI agents.

As a Senior Engineer, you'll tackle complex technical and product challenges, develop multiple solution paths, and evaluate business and architectural trade-offs to determine the best approach. You'll also act as a technical leader and mentor, driving engineering quality, execution, and decision-making across projects. Additionally, you'll be responsible for deploying well-designed, thoroughly tested solutions that prioritize reliability, scalability, and customer impact.

The Customer Agent team is building one of Klaviyo's most ambitious and strategic product areas: an extensible AI platform that enables brands to deliver personalized, autonomous customer experiences across channels like chat, email, SMS, and beyond. We operate with high ownership, rapid iteration cycles, and a strong bias toward execution. Every engineer is expected to think holistically about customer outcomes, collaborate deeply across engineering, product, design, data science, and go-to-market teams, and push beyond traditional role boundaries to help the team move faster.

Success in this role means shipping high-quality systems quickly, contributing to foundational platform decisions, improving the intelligence and reliability of our agent experiences, and helping define how AI-powered customer engagement evolves at Klaviyo.

What We're Looking For
  • A proven track record of building high-quality products and systems, with pride in writing clean, maintainable, high-quality code.
  • 7+ years of experience in a software engineering role.
  • Strong experience developing end-to-end software solutions or extensive experience across both front-end and back-end technologies.
  • Experience building scalable, customer-facing systems in fast-moving product environments - we operate like a startup inside of Klaviyo.
  • Experience leading projects and being accountable for technical and business outcomes.
  • Experience mentoring team members or driving initiatives that help the team grow and learn new skills.
  • Experience conducting code reviews and maintaining a robust testing and deployment cycle.
  • Curiosity and enthusiasm for AI-native product development, including practical experience experimenting with LLMs, AI tooling, or agentic workflows in professional or personal projects.
  • Excitement about leveraging AI to improve engineering velocity, customer experiences, and operational workflows.
  • A strong product mindset and willingness to collaborate cross-functionally to solve ambiguous problems with urgency and pragmatism.
Nice to Have
  • Skills with Python and related technologies.
  • Skills with React and related technologies.
  • Experience building conversational AI systems, workflow engines, or agentic platforms.
  • Experience with retrieval systems, embeddings, eval frameworks, or LLM orchestration patterns.
  • Experience building cloud-native solutions, ideally with AWS.
  • Experience developing customer support, commerce, marketing, or customer data software solutions.
  • Experience with machine learning systems or AI infrastructure.
  • Experience building multi-tenant or highly configurable SaaS platforms.
  • Familiarity with observability, tracing, experimentation, or AI quality/evaluation tooling.

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