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Open nowPosted 184 days ago

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

Blaze Talent41 open roles

Where
New York
Work mode
On site
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Your applicationOpen nowHead of Engineering @ Sandbar | $180k - $220k + EquityBlaze Talent · New York

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. Blaze Talent postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 184 days ago

Blaze Talent median: 7 days open

The posting

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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