Description
About DoorLoop
DoorLoop is property management software built for speed and the smart choice for people who take growth seriously. With offices in Miami, New York City, and Tel Aviv, we’re a global company helping property owners and managers move faster, scale smarter, and get real support, real fast.
We’re proudly People First. That’s why we’re a Certified Great Place to Work, recognized by Forbes as one of America’s Best Startup Employers in both 2024 and 2025, and earn top ratings on Glassdoor.
Mission
DoorLoop is looking for a Director of AI Engineering to lead three engineering squads, including DoorLoop’s AI team, and own every AI feature, agent, and solution the company ships.
In this role, you will not only deliver the roadmap predictably and at AI-era speed, but also set DoorLoop’s AI strategy together with the Director of Product Management and prove its commercial value.
Reporting to the VP of Engineering, you’ll be responsible for delivery, quality, and team health across your squads; for the value, cost, and safety of DoorLoop’s AI products; and for the AI tooling and standards that make all of R&D faster and more correct.
Responsibilities
Own roadmap delivery end to end across three squads, make sure each has a quarterly outcome plan with clear success signals, and flag risks well before deadlines
Build a culture of production ownership, where every squad owns and is on call for what it ships, and turns every incident into a retro and a preventive fix
Set DoorLoop’s AI direction with Product, translate company strategy into an AI thesis, and make a keep, scale, or stop call on every AI bet each quarter
Make sure every AI feature ships with a business metric agreed with Product, and report AI impact in revenue, retention, and cost
Require an eval suite and a quality threshold for every AI feature before launch, and keep every production agent at or above its bar
Ensure every customer-facing agent passes a threat review before launch and before gaining any new tool action
Track AI inference and vendor spend against budget, and choose the model that hits the bar at the lowest cost
Coach Team Leads into strong engineering leaders, hire for leadership and AI roles, and grow AI depth in every squad
Build and publish the AI development toolkit, evals, and benchmarks that the rest of engineering builds on, and drive adoption through champions
Work closely with Product on scope and tradeoffs, and stay close to customers through regular customer conversations
Stay hands-on: personally build proofs of concept, run time-boxed experiments, and keep up with the latest models and research
Requirements
3–5 years of experience as a Director of Engineering or in a more senior role, leading multiple teams through Team Leads
Proven experience shipping AI features or agents to production customers
Deep, hands-on understanding of LLMs, AI agents, and evaluation, with the ability to judge model choices, eval design, and architecture personally
Familiarity with AI security risks such as prompt injection, and with responsible AI practices
Track record of delivering a roadmap predictably with strong engineering quality (DORA metrics, incident management)
Experience developing engineering leaders and building high-performing, healthy teams
Strong product sense and business acumen, with a proven ability to tie AI work to revenue, retention, and cost
Excellent communication and partnership skills with Product and senior leadership
Bonus Points
Experience building internal AI developer tooling or driving coding-agent adoption across an engineering organization
Experience managing AI inference costs and model vendors at scale
Background in B2B SaaS, ideally vertical SaaS or proptech
MSc in Computer Science, Machine Learning, or a related field
Benefits
What We Offer
Hybrid work model (4 days in office, 1 WFH day)
Unlimited paid time off
Cibus meal card
Private health insurance subsidy
Pension, Keren Hishtalmut & Dmei Havraa
Real impact at scale — product used daily by thousands of paying customers
Certified Great Place to Work · Forbes America's Best Startup Employers 2024 & 2025
Equal Opportunity Employer & AI
DoorLoop is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, pregnancy, genetic information, citizenship status, or any other characteristic protected by applicable law. We use AI-assisted tools, including assessment tools that evaluate cognitive ability and personality fit, to help evaluate applications. Human oversight is maintained and no hiring decision is made solely by an automated system. For positions that can be performed in New York City, candidates may request an alternative selection process. Applicants with disabilities may also request reasonable accommodation at any stage of the hiring process. For any of these requests please contact HR@doorloop.com. For more information about the tools we use, bias audit results, and how we collect and protect applicant personal data, please review our Applicant Privacy Notice.
Summary
Lead three engineering squads and own every AI feature and agent, setting AI strategy with Product and tying work to revenue, retention and cost. Requires 3–5 years as a Director of Engineering or senior leader, shipping AI features or agents to production customers, and hands-on LLM and evaluation depth.
Responsibilities
Own roadmap delivery, quality and team health across three squads; set AI direction with Product; require eval suites and threat reviews before AI launches; track AI inference and vendor spend; coach Team Leads; build the AI development toolkit; stay hands-on with proofs of concept
Qualifications
3–5 years as Director of Engineering or senior role leading multiple teams through Team Leads; proven shipping of AI features or agents to production; deep LLM, agent and evaluation understanding; DORA metrics and incident management; developing engineering leaders; business acumen tying AI work to revenue, retention and cost
Experience requirements
3–5 years as Director of Engineering or in a more senior role, leading multiple teams through Team Leads; proven experience shipping AI features or agents to production customers
Benefits
Hybrid work model (4 days in office, 1 WFH day); Unlimited paid time off; Cibus meal card; Private health insurance subsidy; Pension, Keren Hishtalmut & Dmei Havraa