Bilt Offices

OnSite Workplace

Employees work from physical offices.

We’re an in-person company where energy and collaboration fuel our creativity, agility, and speed. With most of our team in the office 4-5 days a week, we create an environment that sparks new ideas and drives our momentum forward.

Typical time on-site: 5 days a week

U.S. Office Locations

New York

31 Bond St, New York, NY, United States, 10012

Recently posted jobs

6 Days AgoSaved
In-Office
New York, NY, USA
Fintech • Mobile • Real Estate • Financial Services • PropTech
Own activation and retention lifecycle marketing for Bilt Rewards members and partners. Build personalized email, push, and SMS journeys in Braze using Liquid, HTML, and CSS; create dashboards, monitor campaign performance, optimize content, and implement QA processes. Collaborate with product marketing, engineering, and data teams on user journeys, experimentation, event architecture, and campaign automation. This hands-on individual contributor role requires autonomy in a fast-paced startup environment.
13 Days AgoSaved
In-Office
New York, NY, USA
Fintech • Mobile • Real Estate • Financial Services • PropTech
Own product marketing for Bilt’s enterprise and retail partnerships. Lead go-to-market strategy, positioning, messaging, customer journeys, launch timelines, sales enablement, partner communications, and ongoing campaign optimization. Collaborate with internal teams and partner marketers to launch joint initiatives, educate customers and partners, drive adoption, and establish scalable launch frameworks across multiple industries.
16 Days AgoSaved
In-Office
New York, NY, USA
Fintech • Mobile • Real Estate • Financial Services • PropTech
Build and operate the backend for Bilt’s AI-powered Concierge across chat, SMS, email, and iMessage. Responsibilities include agent tools and workflows, multi-agent orchestration, model routing, distributed systems, messaging, authentication, performance optimization, evaluation harnesses, and proactive engagement features. The role requires production backend experience, LLM familiarity, cloud service operation, strong distributed-systems fundamentals, product judgment, AI coding-agent usage, and clear technical writing.