New opportunity

Forward Deployed Engineer - Artificial Intelligence

Cotera · New York, United States

About this role

Cotera seeks a Forward Deployed Engineer - Artificial Intelligence to work from its New York office with the enterprise team, deploying AI agents for customers and addressing go-to-market and operational business problems.

Responsibilities

  • Build and ship AI agents quickly, support customers, and share feedback with the product team.
  • Speak with customers regularly, manage relationships, and communicate and train customers on deployed agents. The role calls for comfort spending at least three hours a day on the phone.
  • Run trainings and webinars, and write AI thought pieces for Cotera’s marketing site.

Qualifications and preferences:

  • Cotera ideally seeks someone 1–3 years out of college, but says more seasoned candidates are also welcome; the listing states that new graduates are eligible. No engineering background is required.
  • Familiarity with AI tools such as Claude Code and Perplexity, CLI/MCP tools, and workflow tools such as Zapier or n8n is sought. The listing also identifies TypeScript and AI agents as skills.
  • Technical proficiency, curiosity, attention to detail, willingness to learn, and comfort talking with customers are valued. Using AI tools to code is strongly favored, as is an interest in learning how a B2B business operates.

The position is full-time and limited to US citizens or visa holders. Stated salary is $120k–$145k plus equity. The interview process includes a take-home exercise to create a complex set of AI agents on Cotera, followed by culture-fit interviews.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

AI AgentsTypeScriptClaude CodePerplexityCLIMCPZapiern8nAI-assisted codingCustomer relationship managementCustomer trainingCommunication

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Get interview-ready for this role

A focused preparation guide, built around this job’s responsibilities and requirements.

✦ AI-generated guide
Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.
01

Understand the role

What matters most

  • Deploy agents for business problems

    The role works with Cotera’s enterprise team to deploy AI agents for customers facing go-to-market and operational problems. Prepare to explain how you would turn a business problem into an agent with a clear purpose.

  • Ship quickly without losing detail

    The posting emphasizes building and shipping agents quickly, technical proficiency, and a high standard of detail. Familiarity with AI-assisted coding, CLI/MCP tools, and workflows such as Zapier or n8n is sought.

  • Own customer communication

    The role involves regular customer conversations, relationship management, and communicating and training customers on deployed agents. Cotera says to expect at least three hours a day on the phone.

  • Help customers and the product team

    Daily work in Cotera is intended to help both customers and the product team. Prepare to describe how you would capture useful observations from customer work and communicate them clearly.

  • Teach and explain AI

    The duties include running trainings and webinars and writing AI thought pieces for the marketing site. Prepare to present an agent’s purpose and use in language a business audience can follow.

Likely challenges to think through

  • Balancing speed with dependable output

    Likely preparation challenge, not a stated employer problem: pressure to ship agents quickly may compete with the posting’s emphasis on detail and high standards. Prepare a way to explain what you would check before deployment and what you would refine afterward.

  • Protecting build time during customer-heavy days

    Likely preparation challenge: at least three hours of phone time could compete with hands-on agent work. Prepare a practical approach to prioritizing customer needs, capturing follow-ups, and keeping build work moving.

  • Adapting across business use cases

    Likely preparation challenge: go-to-market and operational problems may differ substantially between customers. Prepare to show how you would clarify each problem before choosing an agent or workflow, rather than assuming one design fits all.

03

Practice your answers

Technical practice

How would you identify a useful AI-agent task from a customer’s go-to-market or operational problem?

What to coverThe role involves deploying agents against customer GTM and operational problems. Suggested preparation: explain how you would clarify the desired outcome, current workflow, constraints, and what would make an agent useful.

How would you divide a complex customer task among multiple AI agents?

What to coverThe posting describes building and shipping agents and mentions a complex set of agents in its take-home exercise. Suggested preparation: discuss task boundaries, handoffs, and when a simpler design would be preferable.

How might an agent help a customer act on an insight about customer behavior?

What to coverCotera describes surfacing insights about behavior, growth, and retention and helping customers act on them. Suggested preparation: use a hypothetical insight to explain how you would define an appropriate action without assuming specific product capabilities.

How would you use AI-assisted coding to ship an agent quickly without overlooking errors?

What to coverThe posting favors using AI tools to code and lists TypeScript among the role’s skills. Suggested preparation: describe how you would review generated code, test important behavior, and balance speed with the stated attention to detail.

When would you use a research tool rather than a coding tool while building an agent?

What to coverClaude Code and Perplexity are named as examples of tools applicants may know. Suggested preparation: distinguish researching an unfamiliar problem from implementing a solution, and explain how you would verify outputs from either tool.

How would you decide whether a CLI or MCP-based tool belongs in an agent workflow?

What to coverThe posting names CLI and MCP tools but does not prescribe an integration architecture. Suggested preparation: discuss what capability the tool adds, how you would check that it behaves as expected, and whether the added complexity is justified.

When would you use Zapier or n8n instead of writing code for a workflow?

What to coverThe posting names Zapier and n8n as workflow tools. Suggested preparation: compare setup speed and ease of change with the control and maintenance implications of a coded approach.

How would you check that a newly built agent is ready for a customer to use?

What to coverThe role calls for building and shipping agents quickly while meeting customer expectations. Suggested preparation: describe representative tasks, failure cases, and clear acceptance criteria rather than relying only on a successful demonstration.

How would you investigate a customer report that a deployed agent is not working as expected?

What to coverDaily customer support and agent deployment are stated duties. Suggested preparation: explain how you would reproduce the issue, distinguish a misunderstood task from a faulty workflow, and communicate the next step to the customer.

How would you turn a recurring agent issue into useful product feedback?

What to coverThe role includes working in Cotera daily to help both customers and the product team. Suggested preparation: describe how you would document the observed behavior, its customer impact, and evidence that it recurs without assuming Cotera’s internal process.

Behavioural practice

Tell me about a time you managed a demanding customer relationship.

What to coverRegular customer conversations and relationship management are central to the role. Suggested preparation: use a real situation/action/result example showing how you understood expectations, communicated progress, and handled the outcome.

Tell me about a time you taught others to use something unfamiliar.

What to coverThe role includes customer training and webinars. Suggested preparation: give a real situation/action/result example covering how you adapted your explanation, checked understanding, and learned whether the training helped.

Tell me about a time you passed customer feedback to a team building a product.

What to coverThe posting connects daily customer support with helping Cotera’s product team. Suggested preparation: use a real situation/action/result example that distinguishes what the customer reported from your interpretation and explains what happened next.

Tell me about a time you had to deliver quickly while maintaining a high standard.

What to coverThe role emphasizes shipping agents quickly and being detail oriented. Suggested preparation: give a real situation/action/result example showing what you checked, what you prioritized, and the result of that trade-off.

Tell me about a time you wrote about a technical topic for a broader audience.

What to coverWriting AI thought pieces for Cotera’s marketing site is a stated duty. Suggested preparation: use a real situation/action/result example describing how you chose the audience, checked your claims, and judged whether the piece communicated effectively.

02

Sharpen your knowledge

Topics to prepare

  • AI-agent task design

    The role deploys AI agents, and the take-home asks for a complex set of agents on Cotera. Preparation suggestion: sketch how you would split a hypothetical customer request among agents, define each agent’s input and output, and identify where a person should review the result.

  • GTM and operational problem framing

    Cotera says the role addresses customers’ go-to-market and operational problems. Preparation suggestion: take one hypothetical business request and write the questions you would ask to clarify the problem, desired outcome, and constraints before building an agent.

  • B2B customer relationships

    The posting emphasizes frequent customer calls, relationship management, and learning how a B2B business operates. Preparation suggestion: outline how you would run a customer check-in: establish the goal, uncover friction, agree on next steps, and report useful feedback to the product team.

  • AI-tool and workflow choices

    The listing names Claude Code, Perplexity, CLI/MCP tools, and Zapier or n8n as examples of desired familiarity. Preparation suggestion: compare what each type of tool could contribute to building, researching, or connecting an agent workflow; distinguish your proposed uses from stated requirements.

Skills to revise

  • Prototype and explain an agent workflow

    Build a small practice workflow for a hypothetical GTM or operations request. Test its inputs, outputs, and failure cases, then explain the design choices. This rehearses the posting’s build-and-ship responsibility and agent-focused take-home without assuming access to Cotera.

  • Use AI-assisted coding carefully

    The posting strongly favors using AI tools to code and lists TypeScript as a skill. Practice using Claude Code to draft a short TypeScript function, then review its logic, run a few test cases, and correct an error yourself.

  • Connect workflow steps

    The posting calls for familiarity with CLI/MCP tools and workflows such as Zapier or n8n. Practice connecting two simple steps in one named workflow tool, then document what data passes between them and what happens if a step fails.

  • Conduct a customer training

    The role includes communicating about deployed agents and running trainings or webinars. Rehearse a five-minute walkthrough of your practice workflow: its purpose, how to use it, one limitation, and how you would collect questions afterward.

  • Write a concise AI thought piece

    Cotera says the role writes AI thought pieces for its marketing site. Draft a short, plain-language piece on a specific lesson from your practice agent workflow, separating what you observed from broader claims you cannot substantiate.

04

Your preparation checklist

  • Map an enterprise problem to an agent

    The role addresses customer GTM and operational problems. As practice, write a one-page brief defining a plausible problem, the agent’s inputs and actions, and how you would check whether it helps.

  • Prepare an agent project walkthrough

    Choose a real project, if you have one, and document what you built, how you used AI-assisted coding or workflow tools, what you tested, and what you changed. If you lack one, label a small practice build as such rather than presenting it as customer work.

  • Rehearse a multi-agent design exercise

    The listed take-home asks candidates to create a complex set of AI agents on Cotera. Sketch a practice design showing each agent’s responsibility, handoffs, failure cases, and tests; be ready to adapt it to the actual instructions and access provided.

  • Gather concrete tool examples

    The listing mentions Claude Code, Perplexity, CLI/MCP tools, Zapier or n8n, and identifies TypeScript as a skill. Prepare brief examples of tools you have actually used, the task each served, and how you verified the result; distinguish hands-on experience from familiarity.

  • Practice a customer handoff and training

    Customer calls, relationship management, training, and webinars are stated duties. Draft a short agent-demo agenda and rehearse explaining its purpose, limitations, and next steps while handling a customer question.

  • Prepare a writing sample and employer questions

    Draft a short AI thought-piece outline, reflecting the stated marketing duty. Bring questions about how customer feedback reaches the product team, what effective agent deployments look like, and how the team supports frequent customer calls.

AI-generated from the job information · Prepared Sep 30, 2026 (UTC)Useful preparation, not a guarantee of eligibility or an offer.

Availability last checked: Nov 4, 2026. Status can change after a check; confirm on the employer’s website. Report an issue · Our checking policy

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