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Engineering Manager
Engineering ManagerDiald AI • Los Angeles, CA, US
Engineering Manager

Engineering Manager

Diald AI • Los Angeles, CA, US
17 hours ago
Job type
  • Full-time
Job description

Job Description

Engineering Manager

(Santa Monica, CA | On-site)

  • Be at the forefront of a revolution in real estate and built environment decision-making.
  • Work alongside a visionary founding team with experience across AI, real estate, and startups.
  • A chance to reshape the future of an industry worth trillions.

About Diald AI

Diald AI is transforming how commercial real estate decisions are made. Our AI-powered platform equips investors, developers, and lenders with next-generation insights—replacing gut feel and outdated methods with precision, clarity, and speed. We’re on a mission to revolutionize an age-old industry, and we’re looking for a seasoned real estate professional to help us lead the charge.

Cultural Fit

At Diald AI, we are building a company for people who love the work — not just the idea of the work. Our culture rewards curiosity, intensity, and a genuine desire to push boundaries in an industry long overdue for change. We operate with minimal hierarchy, fast decision cycles, and a deep respect for those who take ownership and move with purpose.

We’re looking for someone who finds joy in the grind : a builder who works hard not because they’re told to, but because solving hard problems is intrinsically motivating. Someone who is energized, not intimidated, by fast pace, ambiguity, and the responsibility that comes with true autonomy.

Selflessness is core to who we are. Team and company come before ego. Flexibility is expected — roles evolve quickly, and the right person adapts even faster. If you prefer stability, predictability, and playing a narrow role in a large machine, this is likely not the right fit. Corporate “cogs” struggle here.

But for the right leader — someone who sees work as a craft, not a chore — Diald AI offers something rare : the opportunity to build a category-defining product that meaningfully reshapes the built world. We move quickly, learn continuously, take calculated risks, and support each other fiercely.

If the idea of staying up late because you want to finish something — not because you have to — feels familiar, you’ll thrive here.

Job Responsibilities

  • Lead technology strategy for real estate AI startup, architecting enterprise-grade, multi-tenant platforms using AI-driven analysis of qualitative information on real estate properties
  • Oversee the full SaaS lifecycle—from MVP to scaled production—leveraging Python for data processing / ML models and React / Vue.js for responsive dashboards, and white-label client portals; ensure SOC 2 compliance.
  • Partner with CEO, sales, and customer success to prioritize roadmaps using enterprise KPIs (ARR, churn, NPS), balancing rapid feature delivery in Python / JavaScript stacks with technical debt reduction.
  • Optimize cloud costs on GCP and negotiate proptech vendor contracts.
  • Required Qualifications

  • Must have deep hands-on expertise writing code in Python for backend services and modern JavaScript frameworks (React, Vue.js) for frontend.
  • Must have 5+ years of enterprise SaaS leadership.
  • Must have experience managing a 10–30 person engineering team with at least 5 years of direct people management experience ; recruiting Python and JavaScript specialists proficient in microservices.
  • Preferred Qualifications

  • Experience in distributed LLM prompt and context chaining across several approach vectors and millions of input parameters.
  • Experience in fast moving software startup environments with high ambiguity, shifting priorities and objectives
  • Experience in real estate or fintech SaaS product universe with knowledge of our customer base.
  • Experience designing and scaling RAG pipelines, multi-modal data ingestion flows, vector search systems, and LLM context-management architectures.
  • Experience building agentic AI infrastructure, including multi-step reasoning agents, tool integration, memory systems, and orchestration frameworks.
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