Software Engineering Intern

Software Engineering Intern at Clay — Research Report

Introduction

A Software Engineering Intern at Clay offers the chance to work on products at the intersection of software infrastructure, artificial intelligence, data, and go-to-market automation. Unlike a narrowly scoped internship focused on maintenance tasks, this role is likely to expose candidates to real product decisions, fast iteration, integrations, and systems used by sales and marketing teams.

The aggregated listing identifies New York, New York, as the location and gives a deadline of September 29, 2026. Because that date comes from third-party listings rather than a confirmed official posting, candidates should verify the deadline, employment dates, work authorization requirements, and on-site expectations before applying.

Clay is especially valuable for early-career engineers because its platform connects technical work to visible business outcomes. An intern may build a workflow, integration, internal tool, or user-facing feature and then see how that work affects customer research, campaign execution, or revenue operations.

Overview of Clay

Clay is a New York-based AI go-to-market company founded in 2017. Its platform helps companies combine customer data, external signals, automation, and artificial intelligence to identify prospects, personalize outreach, and execute growth campaigns. Clay describes its products as an infrastructure layer for go-to-market teams rather than a conventional customer relationship management system.

The company operates in a competitive category that includes sales intelligence platforms, marketing automation products, data enrichment providers, workflow tools, and AI agent companies. Its differentiation is the ability to connect many data sources and actions in flexible workflows. The product is designed for teams that want more control than a traditional point-and-click marketing platform provides.

Products And Positioning

Clay’s product ecosystem includes data enrichment, workflow automation, campaign orchestration, and AI-powered research. Claygent, its AI research agent, supports tasks such as investigating companies, finding relevant signals, and generating personalized outputs. The broader platform can connect CRM systems, data providers, communication tools, and internal business systems.

Clay reported more than 17,000 customers in 2026, including startups and large companies. The company also announced a $115 million Series D financing at a reported $7.1 billion valuation, indicating substantial investor confidence and an aggressive growth phase. These figures make the engineering internship particularly attractive for candidates who want startup speed combined with enterprise-scale product challenges.

Culture And Work Environment

Clay’s public positioning suggests a culture built around ownership, experimentation, and practical problem-solving. Employees are expected to work across traditional boundaries: engineers may engage with users, product managers may prototype directly, and technical teams may contribute to go-to-market workflows.

The New York internship listing describes an on-site environment, so applicants should expect meaningful in-person collaboration rather than a fully remote experience. The appeal of the company comes from its combination of ambitious technical problems, strong market momentum, and the opportunity to help define emerging categories such as AI-native go-to-market engineering.

Software Engineering Intern Role

Role Overview

The Software Engineering Intern role is likely centered on building, testing, and improving Clay’s product and supporting systems. Interns may contribute to customer-facing features, data pipelines, integrations, internal developer tools, or AI-assisted workflows. The exact assignment will depend on the team, but successful candidates should expect meaningful implementation work rather than observation-only responsibilities.

The business impact is direct. A faster workflow, more reliable integration, or better data-processing service can help customers identify prospects, personalize campaigns, or automate repetitive research. Engineers therefore need to think beyond whether code works; they must also consider reliability, user experience, maintainability, and measurable product value.

Detailed Responsibilities

• Implement product features in collaboration with engineers, product managers, and designers.
• Build and maintain APIs, integrations, data workflows, and backend services.
• Write readable, tested code and participate in code reviews.
• Investigate bugs using logs, reproducible test cases, and monitoring tools.
• Prototype AI-enabled workflows using language models and structured data.
• Improve application performance, reliability, and developer experience.
• Translate ambiguous product requirements into practical technical plans.
• Document design decisions, setup instructions, and operational procedures.
• Use customer or internal-team feedback to refine shipped work.

Day-To-Day Workflow

A realistic day may begin with a team stand-up or planning conversation, followed by focused implementation time. An intern could spend the morning debugging an API integration, then pair with a senior engineer on an architectural decision or review a pull request in the afternoon. Product discussions may involve clarifying edge cases, defining success metrics, or deciding whether a workflow belongs in the core product or an internal tool.

Clay’s environment is likely to reward frequent iteration. Instead of spending several weeks building a large feature in isolation, an intern may be encouraged to ship a small version, observe how users respond, and improve it. Clear communication matters because priorities can change quickly as customer needs, technical constraints, or company strategy evolve.

Tools And Technologies

Applicants should be prepared for a modern web and cloud environment. TypeScript and Python are especially relevant languages for full-stack, automation, data, and AI-related work. Depending on the team, useful technologies may include React, Node.js, SQL, REST or GraphQL APIs, relational databases, cloud infrastructure, testing frameworks, and observability platforms.

Clay’s product context also makes third-party integrations important. Familiarity with systems such as Salesforce, Snowflake, Slack, and internal APIs can be valuable. Candidates do not need experience with every tool, but they should understand authentication, rate limits, retries, webhooks, data modeling, and failure handling.

Skills And Requirements

Technical Skills

• Strong fundamentals in data structures, algorithms, debugging, and software design.
• Practical ability in TypeScript, JavaScript, Python, Java, or another production language.
• Experience building applications, APIs, scripts, automations, or data-driven projects.
• Working knowledge of Git, testing, SQL, HTTP, and basic system design.
• Understanding of asynchronous programming, error handling, and performance tradeoffs.
• Interest in artificial intelligence, language models, data enrichment, or workflow automation.
• Ability to read unfamiliar code and make safe, incremental changes.

Soft Skills

Clay is likely to value engineers who communicate clearly in writing and conversation. Interns must be able to explain a technical tradeoff, ask a focused question, and identify when a requirement is unclear. Curiosity is useful, but it needs to be paired with follow-through.

Strong candidates also show comfort with feedback. The best response to a code-review comment is not defensiveness; it is a thoughtful revision and a clear explanation of what changed. Because the company works across engineering, product, design, and go-to-market functions, empathy for non-engineering users can distinguish one applicant from another.

Experience Expectations

A polished portfolio is not mandatory, but evidence of completed work is important. Strong examples include a deployed web application, a data pipeline, a browser extension, an API integration, a developer tool, or an AI project with thoughtful evaluation. Coursework can help establish fundamentals, but finished projects reveal judgment and persistence.

There is no reliable indication that Clay requires a specific GPA for this internship. Candidates should focus on technical depth, project ownership, and the ability to explain decisions. A smaller project with clear architecture, tests, and documented limitations is often more persuasive than a large project that cannot be demonstrated.

Salary And Benefits

Clay has not provided a verified public compensation range for this specific internship in the available listing data. For a New York software engineering internship at a well-funded technology company, a realistic planning estimate is approximately $35 to $60 per hour, or roughly $7,000 to $12,000 for a ten-week internship before taxes. Actual pay may vary by academic level, program length, and company compensation policy.

Potential benefits may include an on-site workspace, team events, mentorship, equipment, professional development support, and assistance with commuting or housing. These items should be confirmed directly because internship benefits vary considerably. Candidates should also ask whether the role is paid hourly or through a fixed program stipend.

Full-time conversion may be possible, particularly for interns who ship useful work, build strong relationships, and demonstrate sound engineering judgment. Conversion is never automatic. The strongest signal is consistent performance across implementation, communication, testing, and ownership.

Clay Hiring Process

Step-By-Step Hiring Stages

1. Application: Submit a resume, education details, work authorization information, and selected project or portfolio links.
2. Screening: A recruiter or hiring coordinator may discuss interests, availability, location, and basic technical background.
3. Assignment: Candidates may complete a coding exercise, take-home project, or timed assessment related to practical software development.
4. Interviews: Technical conversations may cover coding, debugging, projects, collaboration, and product reasoning.
5. Offer: Finalists receive details about compensation, dates, team placement, location, and onboarding.

Application Timeline

Applicants should apply well before the reported September 29, 2026, deadline because competitive engineering internships may be reviewed on a rolling basis. A typical process can take two to six weeks, although scheduling, assessments, and team matching may extend that period.

Before submitting an application, verify that the position remains open on Clay’s official careers page. Confirm whether the role is for a specific academic term, whether it is fully on-site in New York, and whether international students or candidates requiring sponsorship are eligible.

Screening Methods

Applicant tracking systems may identify terms such as TypeScript, Python, React, SQL, APIs, Git, testing, cloud infrastructure, machine learning, and distributed systems. Use these terms only when they accurately describe experience. A concise resume with project outcomes is more credible than a dense list of technologies.

Recruiters will likely inspect portfolio links, GitHub repositories, and project descriptions. Make each link easy to evaluate: include setup instructions, screenshots, a short architecture explanation, and a note about what you personally built.

Interview Preparation

Example Interview Questions

• Tell us about a project where you took an idea from prototype to a working application.
• How would you design a reliable workflow that calls several external APIs?
• Describe a difficult bug you diagnosed and how you narrowed down the cause.
• How would you evaluate whether an AI-generated result is accurate enough for a customer-facing feature?

How To Answer

Use a concise structure such as Situation, Task, Action, and Result. Explain the context, identify your responsibility, describe the technical decisions you made, and quantify the outcome when possible. For example, discuss reduced processing time, improved test coverage, lower error rates, faster page loads, or increased user completion.

For design questions, begin by clarifying requirements before proposing architecture. Discuss inputs, outputs, scale, authentication, retries, observability, and failure modes. A thoughtful answer that acknowledges tradeoffs is stronger than an overly complex design delivered without reasoning.

What Recruiters Evaluate

Recruiters and engineers will evaluate fundamentals, learning speed, communication, and evidence of ownership. They will also look for practical judgment: can the candidate make progress without perfect information, seek help at the right time, and deliver a reliable solution?

For Clay specifically, product awareness matters. Candidates should understand that the platform is not simply an AI chatbot or a database. It combines data, workflows, integrations, and intelligent automation to help go-to-market teams act on business signals.

How To Get Selected

Practical Tips

• Tailor the resume toward backend systems, integrations, data, AI, and product development.
• Lead with one or two projects that demonstrate end-to-end ownership.
• Deploy a project and provide a working demo when possible.
• Practice explaining API failures, database choices, testing strategy, and tradeoffs.
• Research Clay’s platform and describe one workflow you would improve.
• Prepare thoughtful questions about mentorship, team placement, technical stack, and intern projects.
• Apply early and verify the September 29, 2026, deadline before relying on it.

Common Mistakes To Avoid

• Submitting a generic resume that does not connect projects to the role.
• Listing AI experience without explaining evaluation, reliability, or limitations.
• Ignoring testing, documentation, and deployment details.
• Overengineering a coding exercise instead of delivering a clear working solution.
• Claiming familiarity with tools that cannot be discussed in technical detail.
• Failing to confirm the on-site New York requirement or internship availability.

How To Stand Out

Build a small, relevant project that demonstrates Clay-like thinking. For example, create a service that combines public company data with a scoring model, sends structured results through an API, and records failures for review. The project does not need to imitate Clay’s proprietary technology; it should demonstrate careful data handling, useful automation, and a clear user outcome.

Networking can help when it leads to an informed referral rather than a generic message. Reach out to engineers, former interns, or university alumni with a concise note that mentions a specific Clay product concept and a relevant project. A tailored submission signals genuine interest more effectively than broad enthusiasm.

Final Thoughts

The Clay internship is a strong opportunity for an engineer who wants exposure to fast-moving product development, AI-enabled workflows, data infrastructure, and real business users. The candidates most likely to succeed will combine solid coding fundamentals with the ability to work through ambiguity and explain technical decisions clearly.

Start by verifying the official listing and deadline, then refine a resume around shipped work, prepare a demonstrable project, and practice practical system-design and debugging questions. Candidates who show both engineering discipline and curiosity about how customers use software will be best positioned for how to get hired at Clay.

Frequently Asked Questions

What Is The Salary?

The specific Clay Software Engineering Intern salary has not been verified publicly. A reasonable New York market estimate is approximately $35 to $60 per hour, but applicants should confirm the exact rate and benefits with Clay during the recruiting process.

How Competitive Is Hiring?

The role is likely highly competitive because Clay is a fast-growing AI company with a strong market profile and a New York-based on-site position. Applicants can improve their odds by demonstrating completed projects, strong fundamentals, and a clear understanding of Clay’s product.

Which Skills Matter Most?

The most important skills are software engineering fundamentals, practical experience with TypeScript or Python, API and data-workflow knowledge, debugging, testing, and clear communication. Familiarity with AI applications and integrations is valuable, but the ability to learn quickly and ship reliable work matters just as much.