Engineering Manager

Who We Are

Suite Spot is a Prop Tech company transforming how residential real estate is managed and operated  award‑winning Maintenance and Capital SaaS solutions serve the top 50 multifamily property management operators in North America, helping them streamline operations across hundreds of thousands of units. We move fast, ship real solutions, and measure ourselves by customer outcomes. Our engineering team operates with high autonomy and direct customer impact.

We live by P.I.E. — Passion, Integrity, and Execution — and look for people who do the same.

We're hiring an Engineering Manager to lead our Maintenance team — the product area at the heart of what our customers use every day. You'll own the roadmap, the team's health, and delivery. You'll be in the code when it matters, in front of customers when it matters, and leading your team through a period where AI is fundamentally reshaping how software gets built.

We're looking for a technically strong, product‑minded, and versatile leader who can move fast, adapt faster, and lead engineers into the age of AI‑native development.

• Lead the Maintenance team. Set direction, grow people, and run a healthy delivery cadence from intake through shipping and production.
• Grow your engineers. Run real 1:1s, give honest feedback, and take career development seriously. The best EMs make the people around them better.
• Translate customer needs into technical direction. Work shoulder‑to‑shoulder with Product, CS, and Implementation. Sit in on customer calls when depth is needed, and turn what enterprise operators are asking for into something your team can build.
• Stay hands‑on. You'll still write code, maybe not every day, but meaningfully. Prototyping, unblocking your team, jumping into incidents, reviewing PRs that matter. You set the technical bar by occasionally clearing it yourself.
• Champion AI‑native ways of working. Our engineers increasingly pair with Claude, Copilot, and agentic tooling. You'll help the team figure out what works and ship more value with fewer hands on the keyboard.
• Own production. On‑call culture, incident response, observability (Datadog), and the long tail of reliability work.

Baseline: you can read code — and write it when it matters. You're credible in the code, able to open a PR, push back when something looks off, and contribute directly when the situation calls for it.

• 5+ years of engineering experience, with 2–3+ years managing engineers.
• Versatile across the stack. You are comfortable across backend, frontend, data, and infrastructure. You have a well‑developed sense of what good software looks like — clean architecture, sensible trade‑offs, maintainable design — and can spot when something isn't.
• Product‑minded. You ask "what does this do for the customer?" and "is this the highest‑value thing we could be doing?" before "how should we build it?"
• A fast learner who experiments relentlessly. We're actively building AI agents into our product and need a leader who can pick this up fast — running experiments, learning from what breaks, and shipping. Prior experience deploying AI agents at scale is a strong plus.
• Comfortable in front of enterprise customers, equally at home with a CTO or a frontline operator.
• Experience owning production services. On‑call, incident response, and the observability stack that makes it tractable.

• Background in Prop Tech, multifamily, or enterprise SaaS.
• Familiarity with our stack:
  Node.js, Angular, MongoDB, and AWS.
• Experience with message queues, pub/sub, or caching layers —
  Redis, Kafka, RabbitMQ, or similar.

• Real ownership. You're not a cog in a 200‑person engineering org. You'll own a core product area end‑to‑end, from roadmap to production, and your decisions will land in front of the largest multifamily operators in North America.
• Close to the customer. Suite Spot engineers aren't abstracted away from the business. You'll talk to the people using what you build, see the impact, and carry real signal back into the team.
• AI‑forward by default. We're not debating whether AI changes how we build — we're figuring out how to do it…