Software Engineering Manager, Wallet Identity

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineering Manager, Wallet Identity Austin, United States of America Join us in building the future of digital identity! With IDs in Wallet, users can use their IDs in person, in app, and on the web. We build the services that make this possible. Our services sit between Apple Wallet and digital credential issuers like state and national governments. We work at the intersection of distributed systems, cryptography, and ML, implementing cutting-edge identity features while maintaining the highest levels of security and user privacy. We're actively contributing to and shaping the digital identity ecosystem through standards like ISO 18013/23220 and the W3C Digital Credentials API. We are looking for an experienced engineering manager who is passionate about building high-performing teams, running ML services at scale, and thriving in a fast-paced environment. If you love solving meaningful problems that impact millions of people and defining the technical direction of critical services, we want to hear from you! As an Engineering Manager on the Wallet Identity Services team, you will lead a group of engineers and technical leads responsible for the services powering liveness detection, face matching, and image quality. You will own the full lifecycle of these ML-powered services - from architecture and development through deployment, monitoring, and on-call operations. This role sits at the intersection of software engineering, machine learning, and DevOps. You will partner with ML engineers to deploy and operate models at scale, and collaborate closely with the iOS team that builds the on-device experience. You will define

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