About Sandbar
Sandbar is an interface company in New York City. We aim to augment individuals so we can each think, act, and move more freely. Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, and Equinox.
Our first product, Stream, is a self extension—a private voice ring and conversational interface. Stream has been featured in WSJ, Bloomberg, & Wired, and begins shipping in Summer '26.
Join us in creating technology that extends human thinking.
About
We’re looking for a staff iOS product engineer to help build Stream, a new conversational interface. The Stream iOS app touches every aspect of our user experience; including device-cloud connectivity, on-device processing, UIUX, and more. You’ll work closely with design, firmware, and backend engineers to create a technically rigorous experience that ultimately feels simple.
Responsibilities
Own iOS product delivery—including architecture (Swift), metrics-driven optimization, testing, and releases
Work closely with backend services (Websocket) and device integrations (BLE) for low-latency, always-available human-computer interactions
Work with product, design, and GTM to ship releases, gather insights, iterate, and improve our experiences for end-users
Qualifications
8+ years building and shipping interactive mobile (iOS) applications
Strong proficiency in Swift and complex interactive app development.
Deep experience in OS-level integrations such as media control or on-device ML
Experience in Python-based servers and the iOS Bluetooth stack are a plus
Strong interdisciplinary communication
Strong ownership, comfort with ambiguity, and technical output
Passion for end-user delight and human-computer interfaces
FTE Benefits
Health, vision, and dental benefits
Company-sponsored 401(k)
Unlimited PTO and sick time
Early stage equity
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Sandbar builds performant anti-money laundering (AML) software to more accurately identify illegal activity. Criminals launder an estimated $4 Trillion every year, yet less than 1% of this is caught. To provide better results, we ingest millions of messy data points, standardize that data, and run a complex suite of proprietary calculations designed to detect suspicious activity. Our product automatically monitors activity and empowers risk teams by putting necessary information at their fingertips. We provide information accessibility, build intuitive workflows, and allow for custom processing. Doing better can help cut off funding for kidnappers, human traffickers, terrorists, scammers, and other bad actors as well as reduce the effort and costs associated with developing and maintaining internal AML programs. We are a small but growing team that values creativity, collaboration, and innovation. We're backed by Lachy Groom, Abstract Ventures, BoxGroup, and over 40 other founders, early employees, and executives of Ramp, OpenAI, Stripe, Square, Plaid, and more.