About the role

The next generation of behavioral health will be built on agentic AI — systems that don't just predict or summarize, but act: scheduling, coordinating care, drafting clinical documentation, surfacing risk, and orchestrating the hundreds of micro-decisions that today consume clinician and operator time.

Charlie Health's ambition is to build the most advanced agentic systems in healthcare. We are investing in a multi-agent architecture grounded in a real-time clinical signal graph, governed by HIPAA-native infrastructure, and deployed against measurable patient outcomes in a national virtual IOP.

We are hiring a Senior Principal AI Engineer to lead the design, development, and deployment of these systems across our platform. This is a hands-on technical leadership role with deep cross-functional reach into Engineering, Product, Data, Clinical, and executive leadership.

Responsibilities

• Serve as the technical owner of agentic AI at Charlie Health, from architecture and model strategy through production deployment and ongoing reliability.
• Lead the development of clinical operations agents that handle scheduling, intake, insurance verification, referral triage, and care coordination, replacing brittle human handoffs with auditable, supervised AI workflows.
• Lead the development of clinician copilots for real-time documentation, risk surfacing, and treatment-plan support, integrated with our EHR and clinical data platform.
• Define and build the agentic substrate: eval frameworks, observability, guardrails, tool registries, prompt and policy versioning, PHI-safe logging, and simulation environments.
• Own the model strategy across frontier models, fine-tunes, distilled specialists, and classic ML, and articulate it clearly to executive and clinical leadership.
• Partner with Product, Clinical, and Data teams to identify high-leverage opportunities for AI across patient and operational experiences.
• Establish best practices around AI reliability, safety, evaluation, and explainability in a regulated clinical environment.
• Mentor engineers and data scientists across the organization and help foster a strong culture of technical excellence and responsible AI innovation.

What you'll work with

• An executive team that has committed to an AI-native operating model and is funding it.
• An AI Guild of senior engineers, data scientists, and clinical operators piloting AI across the company today.
• A modern data foundation including Snowflake, dbt, pgvector, and an emerging Intelligence Layer that exposes patient and operational signals as first-class events.
• Live workstreams in clinical documentation, referral-source conversion modeling, scheduling intelligence, and clinician productivity.
• A national virtual IOP serving patients across 41 states, with the regulated data and outcome signal needed to train, evaluate, and improve real systems.

Why this role is hard

Behavioral health is one of the most demanding applied-AI environments. Patients are often in acute distress. The regulatory surface spans HIPAA, state-by-state telehealth and licensure law, and rising FDA scrutiny of clinical decision support. AI systems in this environment must be observable, reversible, and defensible to clinicians, to regulators, and to internal review.

We are looking for an engineer who finds those constraints clarifying rather than limiting.

Requirements

• 10+ years of software engineering experience, with several recent years focused on LLM- or ML-powered systems in production.
• Hands-on experience designing and operating agentic systems, including tool use, planning, multi-agent orchestration, eval design, and failure-mode analysis.
• Track record of owning a complex technical initiative end-to-end, including evaluation infrastructure, observability, on-call, and regulatory or compliance review.
• Strong communication skills and comfort operating across registers, from executive strategy conversations to engineering code review.
• Genuine interest in healthcare and in applying AI responsibly in a regulated, high-stakes domain.
• BS, MS, or PhD in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• Able to work a hybrid schedule of 4 days/week in our NYC office and located within 75 minutes' commuting distance of the office

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $350,000 and $600,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Client Onboarding team builds the technology that helps people access care faster, meeting clients where they are and guiding them seamlessly into treatment.

You’ll create engaging, dynamic product experiences that connect clients and care teams in real time. Whether it’s streamlining intake workflows, automating communication, or creating agentic scheduling assistants, your work will make it easier for people to get the care they need when they need it most.

If you thrive at the intersection of empathy, experimentation, and product engineering and want to build systems that directly expand access to behavioral healthcare, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL.
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions.
• Be an owner. Collaborate with product and design to iterate to top notch product solutions.
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work.
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods.
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• Professional experience developing user facing web or mobile applications that deliver meaningful business value.
• Hands on production experience with an application programming language, preferably Python.
• Ability to break down ambiguous problems into smaller parts with tractable solutions.
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth.
• 4+ years experience as an engineer

Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to office 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $170,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Clinical staff is composed of two core groups: Primary Therapists, who provide 1:1 care, and Group Facilitators (GFs), who lead group-based sessions that are foundational to the care journey. GFs are our largest and most distributed clinical workforce, and enabling them to deliver consistent, high-quality care at scale is one of our most important and hardest problems. The Facilitator Success team builds the systems that power how this care is prepared, delivered, and improved over time. This is not just about internal tooling, it’s about shaping the operating system for group-based care.

You’ll build products that help facilitators show up to every session informed, confident, and effective. That includes everything from making a client’s full care history and context accessible in the right moments, to generating structured session summaries, to developing playbooks and workflows that guide facilitators in real time. You’ll also tackle the challenge of making facilitator care quality more measurable to turn complex and often unstructured clinical interactions into signals that can drive feedback, coaching, and continuous improvement.

If you care about building tools that empower clinical staff to focus on care, not clicks, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
• Be an owner. Collaborate with product and design to iterate to top notch product solutions
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• 4+ years of professional experience developing user facing web applications that deliver meaningful business value
• Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript
• Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations
• Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth

Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to office 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $170,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

 #LI-HYBRID

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Revenue Engine team builds the technology that powers a seamless financial experience for patients and ensures the business can grow to reach more people who need care.

You'll work across two high-impact surfaces: patient-facing tools that give clients a clear, transparent view of their finances and the ability to manage their payments with confidence, and internal products that streamline how our revenue operations teams work — making insurance billing and revenue collection faster, smarter, and more scalable. For our highest-acuity patients, financial clarity is a critical aspect of their care experience. And for the business, operational excellence in revenue collection is what makes expanding access possible.

If you're curious about the patient and stakeholder experience, love owning products end to end, and want to move fast on work that is both highly visible and has a clear impact, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
• Be an owner. Collaborate with product and design to iterate to top notch product solutions
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• 4+ years of professional experience developing user facing web applications that deliver meaningful business value
• Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript
• Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations
• Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth

Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to office 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $170,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

 #LI-HYBRID

About the Role

As a Senior Platform Engineer on the Data Platform team, you will be responsible for designing, implementing, and maintaining the data models, data access patterns, contracts, database infrastructure, and instrumentation that power our transactional systems. You will be at the intersection of every major engineering initiative, working across Product Engineering, Analytics, ML, and Platform to set the bar for data quality, consistency, usability, scalability, and security. You will ensure great data starts at the moment a feature is built, not as a cleanup task afterward. You'll also own one of the team's most impactful initiatives: designing and migrating to modern data models that reflect how our business works at scale.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and profoundly impact millions of lives, apply today.

Responsibilities

• Define, implement, and evolve data models and schemas in Postgres to support product and analytical use cases.
• Develop and maintain our data access standards and patterns in our core backend systems with Python and Typescript.
• Lead the definition, design, and phased migration to improved data models for core business concepts.
• Work alongside product engineering teams to deliver features with correct and well-modeled data at the source.
• Measure and improve data quality, correctness, stability, and usability improvements across our transactional systems.
• Provide options around key initiatives and break down work into visible and achievable milestones, delivering incremental value.
• Mentor and train other engineers throughout the organization and seek to continually improve our architecture and data modeling standards and engineering processes.
• Improve data usability, trust, and developer productivity by building shared tooling, patterns, and documentation that make it easy for teams to produce and consume high-quality data.
• Maintain and improve our transactional database infrastructure running in AWS.
• Review SQL and data access code for our production systems.
• Partner with engineers across the organization to ensure database migrations are executed correctly and safely.
• Profile, analyze, and tune slow or inefficient queries in Postgres.
• Leverage AI-powered tooling to enhance the software development lifecycle.
• Drive security, reliability, scalability, observability, and cost-efficiency improvements across our deployed services.
• Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.
• We currently work in Scrumban-style 2-week sprints. Our teams work hybrid (required if in NY) and remotely across time zones, but are available during core meeting hours (12PM to 5PM EST).

Requirements

• 4+ years of experience in a role focused on Backend or Data Platform Engineering.
• 3+ years of experience writing production-level SQL and backend code.
• Recent expertise with Python as a primary programming language.
• Experience with data modeling concepts and best practices (e.g., dimensional modeling, data vault, or similar).
• Experience with observability, monitoring, and logging tools such as Datadog and Cloudwatch.
• Proven track record of breaking down large problems and delivering incremental value to meet deadlines while providing options for long-term improvements.
• Ability to troubleshoot complex distributed systems.
• Familiarity with AI-enabled developer productivity tooling.
• Strong communication and problem-solving skills, and the ability to work in a fast-paced startup environment.
• Hands-on experience participating in an on-call rotation, responding to and resolving critical infrastructure and application issues promptly.
• Please note that team members who live within 45 minutes of a Charlie Health office are expected to follow a hybrid work schedule.

Nice-to-Haves

• Proficiency with programming languages like Typescript or Golang.
• Experience with large data migrations on production systems.
• Expertise with AWS services like Aurora, S3, SQS, ECS Fargate, and Lambda.
• Proficiency with Snowflake as a cloud data warehouse.
• Experience with Data Engineering tools like DBT, Dagster, Fivetran, and Hightouch.
• Familiarity with event-driven data architectures and stream processing (e.g., Eventbridge, Kafka, or similar).

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Revenue Engine team builds the technology that powers a seamless financial experience for patients and ensures the business can grow to reach more people who need care.

You'll work across two high-impact surfaces: patient-facing tools that give clients a clear, transparent view of their finances and the ability to manage their payments with confidence, and internal products that streamline how our revenue operations teams work — making insurance billing and revenue collection faster, smarter, and more scalable. For our highest-acuity patients, financial clarity is a critical aspect of their care experience. And for the business, operational excellence in revenue collection is what makes expanding access possible.

If you're curious about the patient and stakeholder experience, love owning products end to end, and want to move fast on work that is both highly visible and has a clear impact, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions
• Be an owner. Collaborate with product and design to iterate to top notch product solutions
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• At least 6 years of professional experience developing user facing web applications that deliver meaningful business value
• Expertise and hands on production experience with an application programming language, preferably Python and/or Javascript/Typescript
• Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations
• Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth

Please note: candidates located within 75 minutes commuting distance of our NYC office are expected to come to office 4 days/week

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $195,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

 #LI-HYBRID

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Therapist Success team builds the platform that powers the care itself, helping therapists deliver consistent, high-quality treatment every day.

You’ll create tools that give our therapists the right information at the right time. From organizing a client’s full care history to surfacing dynamic summaries and playbooks for each session, your work will help clinicians prepare, document, and make better decisions in real time. The systems you build will bring structure to complex clinical data, strengthen quality across our network, and ultimately make our care more effective.

If you care about building tools that empower therapists to focus on care, not clicks, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL.
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Partner with teammates across the organization to understand our business. Leverage that understanding to drive data modeling discussions and decisions.
• Be an owner. Collaborate with product and design to iterate to top notch product solutions.
• Identify bottlenecks and implement improvements to engineering processes, tools, and procedures. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work.
• Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge sharing methods.
• Ensure our clients can always access the care they need by participating in our on-call rotation

Requirements

• Professional experience developing user facing web or mobile applications that deliver meaningful business value.
• Hands on production experience with an application programming language, preferably Python.
• Ability to break down ambiguous problems into smaller parts with tractable solutions.
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth.
• 4+ years experience as an engineer
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.

Charlie Health does not provide visa sponsorship.

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target cash compensation for this role will be between $170,000–$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Therapist Success team builds the platform that powers the care itself, helping therapists deliver consistent, high-quality treatment every day.

You’ll create tools that give our therapists the right information at the right time. From organizing a client’s full care history to surfacing dynamic summaries and playbooks for each session, your work will help clinicians prepare, document, and make better decisions in real time. The systems you build will bring structure to complex clinical data, strengthen quality across our network, and ultimately make our care more effective.

If you care about building tools that empower therapists to focus on care, not clicks, this is the team for you.

Responsibilities

• Develop and deliver high quality, performant, maintainable features that drive meaningful business value using our core technology stack: React, Python, and PostgreSQL
• Set strong patterns for our growing team to follow, supported by modern AI tools to develop quickly at scale
• Lead, mentor, and inspire a cross-functional team of software engineers, driving the design, development, and delivery of high-quality software solutions while fostering a culture of collaboration, innovation, and continuous improvement.
• Leverage AI and Machine Learning to enhance client and clinician-facing tools, transforming them into an industry-leading platform that empowers clients to take ownership of their mental health journey while driving measurable clinical outcomes.
• Be an owner. Collaborate with Product, Design, other stakeholders, and across Engineering to align and iterate to top notch product solutions
• Work on mission-critical features to engage potential clients and connect them with life-saving mental health care.
• Own and evolve engineering processes at the team level to align with org-wide practices. We’re early and the expectation of folks joining at this stage is that you’ll play a huge part in setting and improving how we work.
• Ensure our clients can always access the care they need by participating in our on-call rotation.

Requirements

• At least 6 years of professional experience developing user facing web or mobile applications that deliver meaningful business value
• Expertise and hands on production experience with an application programming language, preferably Python
• Excellent at managing ambiguity. Masterful ability to break down big, messy problems (demanding requirements, bugs, etc) into smaller parts with tractable solutions and clear iterations
• Meaningful scope within an application engineering team. Experience making or contributing to important technical tradeoff decisions with cross team implications
• Experience developing high quality code leveraging modern AI tooling (ex: using Claude Code)
• Growth mindset and a sense of humor. You welcome feedback and when you stumble you get back up. You adapt quickly in a fast-paced environment and you enjoy fostering an environment that prioritizes fun, learning, and growth
• Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $195,000–$255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, leveling, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the Role

As the Director, Data & Analytics Engineering, you will lead a team of Data and Analytics Engineers building the data foundation of the Charlie Health Operating Model, an AI-first model where the warehouse is no longer a passive reporting layer, but the substrate of our World  Model: a continuously updated, causal representation of every patient, provider, payor, and operational signal in our ecosystem.

You will own the pipelines, schemas, and storage systems that fuel both human and machine consumers, powering our 1,600+ dbt models, our real-time Intelligence Layer, and the agentic systems composing interventions on top of it. You will push us beyond Snowflake batch cycles into event-driven signal graphs that detect drift the moment a cohort's trajectory diverges from baseline, and you will architect the semantic retrieval surfaces that make our long-form clinical and operational artifacts AI-ready.

This is a hands-on, Player-Coach leadership role. You will set the technical vision, run sprint ceremonies and roadmap planning, mentor ICs and a Data Engineering Manager, support DRIs running cross-cutting 90-day missions, and stay close enough to the code to make sharp architectural calls and unblock the team. You will partner with leaders across ML, Data Science, BizOps, Product, and Engineering and own the shape of the data model architecture that the next decade of Charlie Health is built on.

We're a team of passionate, forward-thinking professionals eager to take on the behavioral health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the idea that the distance between identifying an operational friction and shipping a clinical intervention should be measured in days rather than months, apply today.

Responsibilities

• Own the warehouse and pipeline architecture that powers the Charlie Health World Model, the causal, continuously updated representation of our ecosystem that fuels reporting, product analytics, and the agentic Intelligence Layer
• Drive the long-term roadmap for AI-ready data: real-time signal graphs beyond batch cycles, schema-validated event flows, and semantic retrieval surfaces for transcripts, notes, and other long-form artifacts
• Define and execute a vision for scalable data model architecture in Snowflake, evolving 1,600+ existing dbt models toward extensible, well-governed, agent-consumable patterns
• Partner with Machine Learning, Data Science, Engineering, Product, and BizOps to align data initiatives with company priorities and unlock new opportunities, particularly the agentic capabilities riding on top of the World Model
• Lead execution end-to-end: sprint ceremonies, roadmap planning, and prioritization, with the discipline to keep a growing team shipping high-quality, reliable solutions on schedule
• Oversee data integrity, documentation, testing, monitoring, and provenance across systems so that stakeholders, human and agent, can trust and self-serve on our data
• Guide and contribute to architecture and design decisions across our stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau), and resolve critical technical issues as a hands-on technical leader
• Own the data infrastructure that powers company-wide KPI reporting, ad hoc analysis, product analytics, and dashboard development, ensuring the underlying models, pipelines, and semantic layer enable downstream teams to deliver clear, accurate insights as business questions evolve
• Drive reliability, scalability, observability, security, and cost-efficiency improvements across the data stack, including the PHI gatekeeping and HITRUST-aligned patterns that govern signal ingestion
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices
• Manage and mentor a growing team of Data and Analytics Engineers and one Data Engineering Manager. Operate as a Player-Coach: focus on craft, mentorship, high-leverage code review, and supporting DRIs running 90-day cross-cutting missions
• Establish metrics that track progress, communicate priorities, and demonstrate business impact
• Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use

Requirements

• 10+ years of data or analytics engineering experience, with 4+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery
• Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization across multiple workstreams
• Hands-on background building and maintaining ELT pipelines using SQL, dbt, and OLAP databases like Snowflake
• Proficiency in Python (preferred) or another language strong enough to guide and review technical work
• Experience with workflow orchestration tools like Dagster, Airflow, or Prefect
• Skilled at building scalable reporting solutions in Tableau or Hex and enabling self-serve analytics across the organization
• Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns
• Track record of improving team processes, optimizing workflows, and delivering measurable impact
• Effective cross-functional partner with Machine Learning, Data Science, Product and Engineering, aligning data work with business goals
• Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders
• Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions
• Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture
• This role requires 4 days per week in our NYC office (Flatiron District)

Nice to Haves

• Familiarity with healthcare data standards (HIPAA, FHIR, HITRUST)
• Experience with AWS cloud technologies
• Experience working in a startup environment
• Exposure to event-driven architectures (EventBridge, Kafka, CloudEvents) and JSON Schema registries
• Familiarity with vector stores (Pgvector, Pinecone) and patterns for semantic retrieval over operational data
• Experience supporting ML or agentic AI workloads as a data consumer — designing schemas, features, or context surfaces that downstream models and agents rely on
• Awareness of LLMOps tooling and what it takes to keep AI systems observable and PHI-safe

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $250,000 and $325,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.  #LI-HYBRID

About the Role

The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, data warehouses, transformations, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization.

As a Senior Data Engineer on this team, you'll be a core technical contributor. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you.

Responsibilities

• Build, release, and maintain high-quality ELT pipelines using Fivetran and DBT, with a strong emphasis on correctness, observability, and performance.
• Orchestrate complex data workflows using Dagster and DBT, ensuring reliable and well-monitored execution.
• Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage.
• Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers.
• Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team.
• Support analytics delivery through Hex and Tableau, collaborating with stakeholders to ensure data is accessible and actionable.
• Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement.
• Participate in our on-call rotation to ensure data availability and pipeline health.

Requirements

• Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience.
• 5+ years of experience in Engineering, with at least 3 years in a Data Engineering role.
• Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering.
• Strong proficiency in Python, including experience with common data engineering libraries.
• Hands-on experience with a modern data stack
• Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly.
• Experience working with sensitive data in a regulated environment.
• You live within a 75-minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week.

Nice to Haves

• Experience with our specific tools (Fivetran, Dagster, Snowflake, DBT, Hex, and Hightouch) is a strong plus.
• Experience working with Analytics Engineering practices
• Previous healthcare technology experience
• Experience leveraging AI tools for development

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $150,000 and $220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role

The Revenue Engine team at Charlie Health services all parts of our business related to revenue collection, financial reporting, and the patient financial experience by sourcing, curating, and activating internally and externally sourced datasets, and building user-facing products. As a data engineer on the Revenue Engine team, you will be responsible for building ELT pipelines, developing custom DAGs, transforming and warehousing data with DBT, and building integrations between our systems.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

Responsibilities

• Develop, release, and maintain high quality data pipelines using Python, FiveTran, DBT, and Snowflake.
• Own and guide the development of our data infrastructure.
• Orchestrate complex data workflows using Dagster.
• Identify bottlenecks and implement improvements to our data engineering processes, tools, and procedures. Everyone on our team shares responsibility for continuously improving how we work.
• Promote a culture of collaboration and learning across the technology team via mentoring, documentation, presentations, or other knowledge-sharing methods.
• Ensure our data is always available by participating in our on-call rotation.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, or other technical discipline, or equivalent practical experience
• 7+ years experience in engineering, with at least 5 years of experience in a data engineering role
• Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries
• High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations
• Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, and Tableau - is a big plus
• Experience with data exploration, profiling, governance, visualization, and activation
• Proven ability to thrive in an ambiguous and rapidly changing environment
• Experience working with sensitive data in a regulated environment
• Expertise in healthcare and/or revenue cycle management is a plus
• You live within a 75 minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week. 

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you.

Responsibilities

• Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact
• Lead ambiguous, high-impact initiatives from start to finish, shaping how ML and AI systems improve clinical outcomes across the product 
• Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams
• Establish best practices for ML and generative AI model evaluation, retraining, and experimentation to create clinically responsible systems  
• Utilize ML infrastructure to serve model inferences in real time using live data streams
• Provide technical mentorship and help raise the quality bar across the organization
• Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing

Requirements

• A bachelor’s degree in a technical field, plus 8+ years of professional experience developing and delivering production software, including machine learning models; OR
• A master’s degree in a technical field, plus 6+ years of professional experience developing and delivering production software, including machine learning models
• A doctoral degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models
• Experience designing and operating production ML systems at scale, including experimentation, deployment, and monitoring
• Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets
• Experience developing agentic AI workflows is a plus
• Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations
• Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun
• This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $185,000-$247,500 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

About the Role

As the Engineering Manager, Core Platform, you will lead a team of Platform Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. The Core Platform team is responsible for improving developer productivity, AI tooling, observability, shared services, and code quality in our core systems. Your work will directly shape how quickly we can turn ideas into impact for patients.

You will help transform behavioral health care by building the platform behind our care model. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our Engineering, Data, and ML teams and define a vision for our Core Platform team.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

Responsibilities

• Manage and mentor a growing team of Platform Engineers; foster a culture of technical excellence, accountability, and continuous improvement
• Lead execution, ensuring the team delivers high-quality, reliable solutions aligned with business priorities, including leading sprint ceremonies and roadmapping
• Own the team’s roadmap, balancing near-term developer pain with long-term architectural investments
• Hire and develop a high-performing team through strong onboarding, coaching, and performance management
• Build and maintain shared application capabilities, including libraries, services, frameworks, and internal tooling
• Establish clear platform boundaries and contracts to avoid service sprawl and reduce cognitive load for product teams
• Measure impact using outcomes like developer velocity, onboarding time, reliability, codebase health, and platform adoption
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices
• Work with Product and Engineering to sequence and deliver incremental architectural improvements without impacting feature development
• Own AI tooling adoption and best practices across Engineering

Requirements

• 2+ years managing and mentoring Platform Engineers, with a focus on execution and delivery, and 6+ years of engineering experience total
• Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization
• Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work
• Experience being an effective cross-functional partner with Product, Engineering, Machine Learning, and Analytics, aligning work with business goals
• Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders
• Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions
• Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture
• If you are not in NYC This role requires travel to our NYC headquarters once per quarter.
• Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/w

Nice to Haves

• Experience leading a Core Services or Developer Experience team
• Familiarity with SPACE and DORA metrics
• Experience measuring AI developer tooling impact

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Compensation:

• Base Salary $185,000 - $265,000
• Annual Bonus 
• Equity 

Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.

#LI-HYBRID #LI-REMOTE

About the Role

Charlie Health leads the nation in high-acuity virtual behavioral care, having delivered life-saving treatment to more than 100,000 clients nationwide. Our Matching and Outcomes team builds products to measure and improve clinical outcomes, including provider recommendation systems for clients and clinical decision support tools, enabling durable and effective treatment. You'll create predictive models and workflows to match patients with the best-fit therapists and peers, and enable clinicians to tailor care to each client's individual needs. The systems you build will help clinicians condense and synthesize knowledge across our clients and providers into actionable guidance at every moment. If you care about using data-driven insights to improve outcomes, this team is for you.

Responsibilities

• Design, train, and evaluate machine learning models and AI systems that drive meaningful business impact
• Identify opportunities to introduce or improve data-driven algorithms and automated solutions in partnership with clinical, design, data science, and product teams
• Pioneer new approaches to measure and validate outcomes impact through advanced experimentation and causal inference techniques
• Utilize ML infrastructure to serve model inferences in real time using live data streams
• Write production code within a backend Python monolith to invoke ML predictions.
• Foster a culture of collaboration and learning across engineering, product, and design through mentoring, documentation, presentations, and knowledge sharing

Requirements

• A bachelor’s degree in a technical field, plus 4+ years of professional experience developing and delivering production software, including machine learning models; OR
• A master’s or doctorate degree in a technical field, plus 2+ years of professional experience developing and delivering production software, including machine learning models.
• Expertise in Python for ML (pandas, sklearn, etc.) and backend server development (FastAPI)
• Strong SQL skills and experience navigating analytical and transactional databases to assess and curate high-quality datasets
• Experience developing agentic AI workflows is a plus
• Excellent at managing ambiguity—able to break down big, messy problems into smaller parts with tractable solutions and clear iterations
• Growth mindset and sense of humor; you welcome feedback, adapt quickly in a fast-paced environment, and foster a culture of learning and fun
• This role requires 4 days per week in our NYC office (Flatiron District). The team is entirely based out of NYC.

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $170,000-$220,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.