Forward Deployed Engineer

Attention

$120K — $145K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in building and deploying production-grade software
  • Expertise in automation tools (e.g., Zapier, n8n, Retool) for workflow creation
  • Proficiency in scripting languages, specifically Python or JavaScript
  • Strong problem-solving abilities and comfort with complex, ambiguous scenarios
  • Excellent communication skills for both technical and non-technical audiences
  • Experience in a customer-facing role, adept at managing relationships
  • Interest in AI systems and automation

Responsibilities

  • Build and deploy AI agents to automate workflows and generate structured data
  • Collaborate directly with customers to analyze processes and deliver rapid solutions
  • Utilize automation tools to connect systems and prototype effective logic
  • Oversee the end-to-end process from scoping to testing and deployment
  • Work with product and engineering teams to enhance platform capabilities based on deployments
  • Ensure that developed agents are reliable, observable, and linked to measurable business outcomes

Benefits

  • Opportunity for professional growth in a fast-growing company
  • Collaborative, high-performance team culture
  • Direct impact on customer success and product evolution
  • Hands-on experience with cutting-edge AI technology
  • Autonomy in work and the ability to see fast implementation of solutions
Full Job Description
Forward Deployed Engineer (FDE)

Location: New York, NY (in-person)

The Role

As a Forward Deployed Engineer (FDE) at Attention, you'll work directly with our customers to design, build, and deploy AI agents that automate critical GTM workflows. You'll translate messy, high-value business problems into structured, production-ready solutions that drive measurable impact.

You'll work across engineering, product, and customer success, building in the field, iterating fast, and feeding insights from real-world use back into the platform. This is a hands-on role for builders who move quickly, wear multiple hats, and take ownership from concept to deployment.

What You'll Do
  • Build and deploy AI agents that automate workflows and generate structured outputs
  • Work directly with customers to map processes, identify opportunities, and deliver working solutions fast
  • Use your experience with automation/data orchestration tools (like Zapier, n8n, Retool) to connect systems, prototype logic, and ship production-ready automations
  • Ship end-to-end: scope, prototype, test, and harden workflows for reliability and scale
  • Collaborate with product and engineering to turn bespoke deployments into reusable platform capabilities
  • Ensure every agent you build is observable, maintainable, and tied to real business outcomes
  • Ship platform features alongside customer work: define scope, make prioritization calls, and build for the cases that scale rather than the one account in front of you

What You'll Bring
  • Experience building and deploying production-grade software or automations
  • Proven experience with automation tools; you've built real workflows or tools and can move fast from idea to execution
  • Comfort scripting in Python or JavaScript and integrating APIs or webhooks when needed
  • Strong problem-solving skills and comfort with ambiguity
  • Excellent communication and collaboration skills; able to work closely with both technical and non-technical teams
  • Customer-facing experience; you're comfortable leading conversations, managing relationships, and translating business needs into technical solutions
  • Curiosity about AI systems, automation, and structured data pipelines

Why This Role Matters

Forward Deployed Engineers are the connective tissue between our customers and our product. You'll bring the Attention platform to life in the field, translating customer needs into tangible AI-driven workflows that move the needle on revenue.

You'll operate with autonomy, see your work in production within days, and directly shape how companies adopt AI in their go-to-market motion.

If you're a hands-on builder who moves fast, thrives in ambiguity, and wants to work at the intersection of engineering, product, and real customer impact, we'd love to meet you.

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