Forward Deployed Engineer

CraftFlow, Inc.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Generous equity

Job summary

CraftFlow, Inc. is seeking a hands-on engineer to own end-to-end deployment for enterprise customers, including CRM/FSM/VoIP integrations and AI agent configuration.

You'll be on-site with clients in NYC during critical onboarding, travel ~25% to client sites, and translate deployment patterns into product improvements while building internal tooling to accelerate future deployments.

Qualifications

• Strong engineer who loves being close to customers; needs hands-on deployment experience.
• Experience building integrations with enterprise systems and AI tooling.
• Comfortable traveling to customer sites and working in-person.

Responsibilities

• Own end-to-end deployment for enterprise customers: integrations with CRMs, FSMs, and VoIP systems, AI agent configuration, and go-live.
• Be on-site with customers during critical onboarding phases.
• Translate deployment patterns across deployments into product improvements.
• Build internal tooling to make future deployments faster and more repeatable.

Skills

Python

REST APIs

Webhooks

Data pipelines

Job description

Craft is the AI Sales & CX Platform for the trillion-dollar home improvement industry. We deploy AI agents into complex, operationally intensive enterprises, and we need engineers who can take a customer from zero to value, on-site, in the real world.

We're a fully in-office team based in NYC shaped by two core values:

• Asymmetric warfare. We've outshipped and outsold VC-backed companies that raised half a billion dollars. We win by making unconventional decisions that prove correct, repeatedly.
• Long-term thinking. We align fully with our customers, build durable partnerships, and are building a generational company, not chasing a quick exit.

What you'll do

• Own end-to-end deployment for enterprise customers: integrations with CRMs, FSMs, and VoIP systems, AI agent configuration, and go-live
• Be on-site with customers during critical onboarding phases. You're not working from a ticket queue, you're in the room
• Translate patterns across deployments into product improvements
• Build internal tooling to make future deployments faster and more repeatable

What we're looking for

• Strong engineer who loves being close to customers: Python, REST APIs, webhooks, data pipelines
• High agency in ambiguous situations; you figure things out without a playbook
• Can translate technical concepts for operators who've never touched a CRM
• Comfortable with ~25% travel to customer sites
• We hire for slope: credentials don't matter, learning speed does
• You own outcomes, and features are how you get there. When an enterprise goes live and starts seeing results, that's on you
• More real-world AI deployment scenarios in 6 months than most engineers see in years
• Profitable and founder-owned: competitive salary + unusually generous equity