Lyrahealth

Manager, AI/ML Engineering

Reads like a Data Leadership role: running a data team.

United States

Live, first seen by us 20 days ago

Pay: Multiple pay statements — pay source
MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
Salary 161,000 – 221,500 USD per year "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
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Work setting: Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap.

The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership.

Coach ML engineers through weekly 1:1s, performance reviews and career paths
Drive quarterly planning for AI/ML workstreams and align them with business goals
Run design reviews and guide models from research to microservices on Kubernetes
Turn clinical requirements into safety-oriented production models with Product and Data Science
Build engineering culture through knowledge sharing, mentorship and technical standards

From the employer’s posting

We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability.

The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization.

Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers

Drive the quarterly planning lifecycle for AI/ML workstreams

Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes

Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models

Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards

What you’ll bring

All qualifications

Core experience

Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments.

Qualification wording

Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments.

About Lyrahealth

In the employer’s words · Read in context

Apply at Lyrahealth

Posting record

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Status in our records: Live
First seen by us: Oct 15, 202620 days ago
Recorded sightings: 87
Last seen by us: Nov 5, 2026
Employer says posted: Sep 17, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$154K–$225K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,958 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 20

Similar jobs usually come down between day 7 and day 54.

From 7,930 similar postings that came down. Coming down is not always a hire.

Lyrahealth is hiring

9 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Java
Kotlin
AWS
Kubernetes

Where the posting names them

Preferred Qualifications - Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin. - Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII).

- Operational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale. - Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers). - Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines.

- Strategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models. - ML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes. - Multiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach.

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About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025: $175,140
Expected change, 2025 to 2035: 15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

About Lyra Health

Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

About the Role:

We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability.

The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization.

Why Lyra?

Collaborative Innovation: Thrive on working alongside brilliant colleagues to solve complex, mission-critical challenges.
Social Impact: Are deeply motivated by making a tangible difference and supporting individuals during their most vulnerable moments.
Cross-Functional Partnership: Enjoy collaborating with a diverse group of physicians, therapists, data scientists, and product leaders.

Responsibilities

Exceptional People Leadership: Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers.

Roadmap & Strategy Ownership: Drive the quarterly planning lifecycle for AI/ML workstreams, prioritizing essential initiatives like clinical program mapping while ensuring alignment with broader business objectives.

Cultivate Engineering Culture: Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards across the ML organization.

Strategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models.

ML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes.

Multiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach.

Qualifications

Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments.

Exceptional People Leadership: Strong ability to develop technical talent, manage performance, and build a collaborative team culture.

Strategic Mindset: Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership.

Deep ML/AI Domain Expertise: Strong technical foundation in machine learning systems (transformers, neural networks, fine-tuning) with the ability to lead others in these domains.

Operational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale.

Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers).

Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines.

Preferred Qualifications

Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin.

Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII).

MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers.

As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.

Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:

Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
Lyra for Lyrians; coaching and therapy services
Equity in the company through discretionary restricted stock units
Competitive time off with pay policies including vacation, sick days, and company holidays
Paid parental leave
401K with up to 3% matching
Monthly tech allowance
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!

We can’t wait to meet you.

Salary

161,000 – 221,500 USD per year

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Employment type

Full-time

Source details

View original posting ↗

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Pay

MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:

More source context

Salary 161,000 – 221,500 USD per year "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

Location & working pattern