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Head of Engineering @ Sandbar | $180k - $220k + Equity

Job in New York City, Richmond County, New York, USA
Listing for: Blaze Talent
Full Time position
Listed on 2026-08-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 180000 - 220000 USD Yearly USD 180000.00 220000.00 YEAR
Job Description & How to Apply Below

Head Of Engineering

Sandbar is building a conversational interface to expand human expression. Our first products are Stream, a self extension for building ideas, and Stream Ring, the mouse for voice. Our team has built new interfaces & consumer products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton, Dior, and Equinox. If our work resonates, we would love to hear from you.

About

As Head of Engineering, you'll lead our software and machine learning teams in building a new interface that makes all of computing feel as simple as thinking. You'll guide and grow our mobile, infrastructure, backend, and AI/ML teams and work closely alongside our product, hardware, and firmware teams. You'll play a significant role in shipping our first product, Stream, as well as shaping our future product, technical, and team direction.

This role is perfect for an experienced engineering leader who cares deeply about team growth and culture, and who wants to build tools that augment individuals in an agentic world.

Responsibilities
  • Lead our software and ML engineering teams across mobile, backend, infrastructure, and AI/ML
  • Drive product delivery—balancing shipping, quality, and velocity
  • Define engineering requirements and goals and facilitate sprints
  • Provide architectural guidance, conduct code reviews, and mentor engineers
  • Collaborate closely with hardware, firmware, and product to ship cohesive, full-stack products
  • Shape technical and product direction—identifying where to invest and what to build next
Qualifications
  • 8+ years in software engineering or machine learning with 3+ years leading engineering teams across multiple disciplines
  • Experience shipping consumer-facing software / ML products
  • Strong technical breadth across mobile, backend, and ML—able to go deep when needed and guide architecture across the stack
  • Track record of building high-performing teams in fast-moving, ambiguous environments
  • Passion for human-computer interaction
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