About the Role

The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities

• Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
• Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
• Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
• Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
• Improve system observability, resilience, and performance in high-throughput, low-latency environments.
• Mentor engineers and help define best practices for data and backend engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
• Proven experience designing and building large-scale distributed systems and backend services.
• Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
• Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
• Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).

Preferred Qualifications

• Experience with Feature Infra / Feature Store architecture and operations.
• Experience in Identity Graph design and construction to enhance user signal quality.
• Deep familiarity with AdTech or Machine Learning infrastructure domains.
• Experience working with Petabyte-scale data and high-availability systems.

The Engineering Architect Team

The Architecture team is a small group of very senior engineers reporting to our VP of Engineering Excellence, working broadly across the organization in collaboration with Engineering, Product, and Security.  We partner deeply with other Engineering teams for large projects, and provide direction and architectural guidance for smaller initiatives.  We have a dual-pronged charter to “level up the tech stack and level up the people stack” via both technical contributions and partnerships/mentoring.

In this role, you will have the opportunity to significantly contribute to Auth0’s future technology direction.  Through your experience, knowledge of industry trends, and technical abilities you will provide guidance, build proof of concepts, and deliver production software implementations that help Auth0 Engineering teams move faster by using and developing standard patterns and technologies. You will also help advance the engineering culture and help uplevel other engineers. Note that while this role involves a lot of guidance, documentation, and leadership, it also requires substantial hands-on coding and development of both applications and systems.

What you’ll be doing

• You will collaborate with Product, Security, and Engineering teams to define and continually improve Auth0’s technology stack and architecture.
• Foster and lead innovation in the IAM space, with a strong focus on Agentic Identity
• Lead initiatives to enhance, scale, and evolve Auth0’s product offerings.
• Embed within Engineering teams across the organization for large projects, while providing guidance and lighter touch engagements for smaller initiatives.
• Design, architect, and document large scale distributed systems.
• Lead the development of complex, broadly-scoped functionality in a very large and deep set of services and components.
• Teach by doing: coding, optimizing, and troubleshooting Node.js and Go applications in collaboration with feature development teams.
• Implement features and create consistent foundations using technologies such as AWS, Azure, Node.js, Go, MongoDB, Redis, PostgreSQL, Kubernetes.
• Investigate, understand, and resolve bottlenecks in our ability to scale, use resources efficiently, and maintain a 99.99% uptime SLA.
• Drive technical decision making while striving to find the right balance between factors such as simplicity, flexibility, reliability, cost, and performance.
• Participate in “round table” discussions and mentor team members and engineers throughout the organization to level up our people.
• Participate in our Engineering Leadership Team with other architects, directors, and executives.
• You will join our Incident Commander on-call rotation. Members of our team do periodic on-call rotation for high-severity incidents to help up-level our responses After spending time getting acquainted with our applications, systems, and processes, and getting training to 

What you’ll bring to the role

• Passion and thorough understanding of what it takes to build and operate secure, reliable systems at scale.
• Knowledge of Identity Protocols such as OAuth, OIDC and SAML.
• Industry knowledge of the Authorization and Authentication spaces.
• Experience in building AI Agents, and/or MCP servers applications. 
• Experience with security engineering and application security.
• Very strong written and verbal communication skills with a demonstrated ability to adjust your communication style to the intended audience, whether communicating with senior executives, customers, engineers, or product managers.
• Mastery and deep understanding of hands-on software development building distributed systems.
• Experience with API-first applications using REST and/or gRPC.
• Experience with multi-cloud environments and container deployments, particularly Kubernetes in AWS/Azure.
• Prior experience with application performance management, tracing, and performance testing tools.
• Excellence at creating clarity and alignment for technical initiatives. 
• Great ability to build trust through collaboration with multiple teams and get consensus on a vision.
• Knowledge of application security and cloud security best practices.
• 10+ years of software development experience.
• 5+ years of experience working on cloud applications.

And extra credit if you have experience in any of the following!

- Deep experience in Node.js (Javascript or Typescript), or Golang.

#LI-Hybrid

(P-3286_3209115)

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Build and maintain internal platform services, Kubernetes operators, and observability tooling that support enterprise reliability at scale
• Design and deliver developer experience tooling and AI-leveraged workflows through Claude Code plugins and MCP servers
• Requires strong knowledge of Kubernetes, Java (Spring Boot), observability, event-driven architecture, and Python; experience with Clean Architecture, cloud-native deployment patterns, and building internal tools that improve developer productivity across engineering organizations.
• Establish service level objectives (SLOs), error budgets, and service level indicators (SLIs) as success criteria that our systems and processes consistently meet or exceed these targets
• Build recoverability into our services and systems, including disaster recovery (DR), backups/recovery, and incorporation of multi-AZ multi-regionality into cloud constructs
• Establish clustering and load balancing techniques for high availability and scalability in containerized cloud-native environments
• Build observability systems and services (monitoring, telemetry, tracing) for reuse in our platform architecture, creating alerting for fault identification and building dashboards for metrics
• Operate and continuously improve our services’ reliability, scalability, performance, security, and uptime
• Learn constantly, including in available cloud-managed services (PaaS/SaaS/IaaS), libraries, frameworks, and platforms (commercial and open-source)
• Participate in the company’s application of Agile, Lean, and principles of fast flow to engineering department efficiency and productivity and own certain tasks in process automation to achieve fluidity
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 5+ years of experience coding in an object-oriented language, such as Java, Python, Go, or Kotlin
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us! 

As a Sr. Site Reliability Engineer (SRE) in PitchBook’s engineering division, you will be creating and evolving systems to automatically run our suite of products and services reliably and consistently. As part of a team of site reliability engineers and platform engineers and in conjunction with group leadership, you will help define service level objectives (SLOs) that determine success and build systems to achieve those objectives.

You will utilize your strong background in deploying, managing, and maintaining production systems, working with developers to operate and monitor large-scale services with complex distributed systems and data integrations. You will incorporate observability tools (monitoring, telemetry, tracing, alerting), perform incident management, conduct root cause analyses, eliminate single points of failure, build reliability and redundancy into our infrastructure, establish and test our recoverability, mitigate failures, and do all of these things through automation and tools. 

As a Sr. Site Reliability Engineer, you will take independent responsibility for building and managing large subsets of our systems. You will help build our best practices for infrastructure-as-code and your code will exemplify our quality controls. You will mentor and train other Site Reliability Engineers, platform engineers, and software engineers in reliability topics. 

Your ability to collaborate with colleagues, exhibit poise and adaptability in stressful situations, communicate effectively, and build resilient systems that can be consistently relied upon will be critical to your success. You will solicit feedback, learn constantly, engage others with empathy, and help create a culture of belonging, teamwork, and purpose.

If you love building customer-centric solutions, strive for excellence every day, are adaptable and focused, and believe work should be fun, come join us! 

Primary Job Responsibilities:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
  
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
  
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
  
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
  
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
  
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
  
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a
• 24/7 response team
  
• Experience with distributed, scalable microservices and event-driven architectures
  
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
  
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
  
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor's in Computer Science, Software Engineering, or related (Master's preferred)
• 5+ years of experience building and maintaining Linux/UNIX-based systems, primarily in cloud environments (preferably GCP & AWS)
• 5+ years of experience in a Reliability Engineering, DevOps, or infrastructure role, where infrastructure-as-code tools (e.g. Terraform, Puppet, Ansible, Chef) were used as a primary job function
• 2+ years of experience with containers and orchestration platforms, including Kubernetes and Docker
• Deep knowledge of infrastructure systems, networking, and security, including in a cloud environment
• Experience owning operational reliability, scalability, recoverability (backups, disaster recovery, failover), and capacity planning
• Experience performing operational activities including batch processing, system backups, maintenance, monitoring, and providing first-tier on-call support and being part of a 24/7 response team
• Experience with distributed, scalable microservices and event-driven architectures
• Experience with data storage, replication, caching, and search technologies, such as PostgreSQL, MySQL, MS SQL Server, Amazon RDS, GCP CloudSQL, Redis, Elasticsearch, and Lucene/Solr
• Hold at least one professional certification in AWS or GCP (DevOps or SysOps Engineer preferred)
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health

• Comprehensive health benefits
• Additional medical wellness incentives
• STD, LTD, AD&D, and life insurance

Emotional Health

• Paid sabbatical program after four years
• Paid family and paternity leave
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend
• Robust training programs on industry and soft skills
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program
• Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $175,000-$200,000
• Target annual bonus percentage: 10%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-MS1

#LI-Onsite

The Work

Payers & Outcomes at Headway sits at the intersection of ML, clinical quality, and trust. You’re building the intelligent systems that protect the integrity of our network — spotting risk, surfacing quality signals, and giving providers real-time feedback so they can deliver great care. What you could work on:

• Clinical Feedback: Architect the LLM-powered systems that review clinical documentation at scale and deliver helpful, real-time feedback to providers. Turn a traditionally painful audit process into a coaching experience — and scale it across the entire network.
• Detecting Risk in Healthcare Claims: Design the ML/LLM systems that spot patterns of inappropriate billing, over-utilization, and low-quality care across millions of appointments and claims. Translate those signals into clear feedback for providers and transparent reporting for our insurance partners.
• Measuring & Elevating Clinical Quality: Help build the systems that systematically review every prescriber in our network against clinical quality standards — so we can measure, improve, and defend the quality of care Headway delivers. The stakes are real: our most recent launch reviews clinical notes and nudges providers to put a safety plan in place when a patient shows signs of suicidal risk — a system projected to save roughly 1,000 lives a year.
• Patient Needs & Provider Fit: Crack the “one size fits all” problem. Build ML systems that understand how complex a patient’s needs are and match them to providers best suited to help — so every patient gets the right care and every provider operates at their best.
• Trustworthy AI in Healthcare: Champion how Headway evaluates and iterates on AI systems. Build the evaluation frameworks, optimization loops, and observability that keep LLM-powered features reliable and safe in a regulated environment.
• Technical Foundations & Mentorship: Set the technical bar for the Payers & Outcomes group — ~12 engineers today, growing to 30–50 by end of year. Lay the architectural foundations other teams will build on, and raise the whole group’s engineering craft as it scales.

#LI-BM1

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

We are seeking a Senior Software Engineer, Backend, to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that integrate cutting-edge hardware with advanced machine learning to understand the behavior of objects in the real world. You'll work with a modern tech stack, including AWS, Java, Scala, gRPC and Protobuf, Redis, MySQL, PostgreSQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do

• Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
• Design and implement gRPC APIs to enable high-performance, real-time data transfer between services
• Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
• Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
• Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
• Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
• Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity

What we're looking for

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• 8+ years of experience in backend development, preferably within platform or core services
• Proven expertise in industry-standard programming languages, preferably Java and Scala
• Experience building gRPC APIs for efficient and reliable communication between services
• Strong understanding of database design and optimization using Redis and MySQL
• Familiarity with container orchestration and scaling using Kubernetes
• Hands-on experience with Kafka for event-driven architectures
• Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
• A team player with excellent communication skills, a learning mindset, and a proactive approach to working across teams

While not required, these are a plus:

• Exposure to frontend integration with frameworks like Next.js

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 USD to 200,000.00 USD annually. The actual base pay offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base pay is one component of Metropolis’s total compensation package, which usually includes: healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans, and more. #LI-NM1 #LI-Onsite

What You'll Do 

You'll build enterprise integrations that connect our AI platform to Microsoft 365 and other corporate systems. This is hands-on infrastructure work: implementing authentication flows, managing permissions, and creating data pipelines that enable AI agents to operate securely within enterprise environments. 

You'll work closely with senior engineers to expand our platform's integration capabilities—turning technical specifications into production code that consultants rely on daily. 

Your Responsibilities 

Integration Development: 

• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms 

Microsoft Graph & Enterprise APIs: 

• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic 

Security & Compliance: 

• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions 

Production Support: 

• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation 

Your Profile 

Required: 

• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling 

Strongly Preferred: 

• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems 

Bonus: 

• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications 

Why This Matters 

Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries—directly impacting how effectively consultants can work. 

We're not building prototypes—we're scaling proven capabilities. Our data infrastructure processes millions of media articles, social posts, and stakeholder signals daily. Our agents don't just answer questions—they generate press releases, analyze media coverage, and provide strategic recommendations that consultants use in high-stakes client situations. 

What makes this interesting: 

• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers 

What you'll learn: 

• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code 

About FGS Labs 

FGS Labs is FGS Global's innovation engine, building AI and data capabilities that are already in production and delivering value across the firm. Our flagship platform, Fergus, is a live AI assistant used daily by consultants worldwide, powered by real-time media intelligence, proprietary data sources, and specialized agents for M&A, crisis communications, and stakeholder strategy. 

About FGS Global

FGS Global is the world’s leading stakeholder strategy firm, with over 1,500 professionals around the world, advising clients in navigating critical issues and reputational challenges. FGS was formed from the combination of Finsbury, The Glover Park Group, Hering Schuppener and Sard Verbinnen & Co to offer board-level and C-suite counsel in all aspects of stakeholder strategy — including corporate reputation, crisis management, and public affairs and is also the leading force in transaction and financial communications worldwide.

FGS offers seamless and integrated support with offices in the following locations: Abu Dhabi, Amsterdam, Beijing, Berlin, Boston, Brussels, Calgary, Chicago, Dubai, Dublin, Düsseldorf, Frankfurt, Hong Kong, Houston, Kingston, London, Los Angeles, Munich, Paris, Riyadh, San Francisco, Shanghai, Singapore, South Florida, The Hague, Tokyo, Toronto, Vancouver, Washington, D.C., and Zurich. The firm is headquartered in New York.

FGS is consistently ranked a Band 1 PR firm for Crisis & Risk Management and for Litigation Support by Chambers and Partners.  For the second year, FGS was ranked #1 Global M&A PR firm by Deal Count and Value in 2024 by Mergermarket.

We are looking to fill this position as quickly as possible and are open to both freelance and permanent employment arrangements. 

FGS Global is committed to creating a diverse and inclusive environment and welcomes applicants from all backgrounds. 

What You'll Do 

You'll build enterprise integrations that connect our AI platform to Microsoft 365 and other corporate systems. This is hands-on infrastructure work: implementing authentication flows, managing permissions, and creating data pipelines that enable AI agents to operate securely within enterprise environments. 

You'll work closely with senior engineers to expand our platform's integration capabilities—turning technical specifications into production code that consultants rely on daily. 

Your Responsibilities 

Integration Development: 

• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms 

Microsoft Graph & Enterprise APIs: 

• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic 

Security & Compliance: 

• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions 

Production Support: 

• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation 

Your Profile 

Required: 

• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling 

Strongly Preferred: 

• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems 

Bonus: 

• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications 

Why This Matters 

Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries—directly impacting how effectively consultants can work. 

We're not building prototypes—we're scaling proven capabilities. Our data infrastructure processes millions of media articles, social posts, and stakeholder signals daily. Our agents don't just answer questions—they generate press releases, analyze media coverage, and provide strategic recommendations that consultants use in high-stakes client situations. 

What makes this interesting: 

• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers 

What you'll learn: 

• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code 

About FGS Labs 

FGS Labs is FGS Global's innovation engine, building AI and data capabilities that are already in production and delivering value across the firm. Our flagship platform, Fergus, is a live AI assistant used daily by consultants worldwide, powered by real-time media intelligence, proprietary data sources, and specialized agents for M&A, crisis communications, and stakeholder strategy. 

About FGS Global

FGS Global is the world’s leading stakeholder strategy firm, with over 1,500 professionals around the world, advising clients in navigating critical issues and reputational challenges. FGS was formed from the combination of Finsbury, The Glover Park Group, Hering Schuppener and Sard Verbinnen & Co to offer board-level and C-suite counsel in all aspects of stakeholder strategy — including corporate reputation, crisis management, and public affairs and is also the leading force in transaction and financial communications worldwide.

FGS offers seamless and integrated support with offices in the following locations: Abu Dhabi, Amsterdam, Beijing, Berlin, Boston, Brussels, Calgary, Chicago, Dubai, Dublin, Düsseldorf, Frankfurt, Hong Kong, Houston, Kingston, London, Los Angeles, Munich, Paris, Riyadh, San Francisco, Shanghai, Singapore, South Florida, The Hague, Tokyo, Toronto, Vancouver, Washington, D.C., and Zurich. The firm is headquartered in New York.

FGS is consistently ranked a Band 1 PR firm for Crisis & Risk Management and for Litigation Support by Chambers and Partners.  For the second year, FGS was ranked #1 Global M&A PR firm by Deal Count and Value in 2024 by Mergermarket.

We are looking to fill this position as quickly as possible and are open to both freelance and permanent employment arrangements. 

FGS Global is committed to creating a diverse and inclusive environment and welcomes applicants from all backgrounds. 

About Headway

Headway's mission is to build a new mental health care system that everyone can access. We've built technology that takes the hardest parts of mental healthcare — finding the right provider, navigating insurance, managing payments — and makes them simple. We're now one of the fastest-growing companies in healthcare, with more than 200,000 patients finding care through Headway and thousands of therapists using our platform to grow their practices.

About Patient Core Experience at Headway

The Patient Core Experience team owns how patients find the right therapist on Headway. From search through the first several sessions, our four engineering pods — Onboarding, Profiles + Checkout, Ranking + Relevance, and Activation — build the systems that make great therapeutic matches happen.

We operate a three-sided marketplace (patients, providers, payers) with real complexity and massive impact. We're evolving from a provider directory into an intelligent matching platform that uses communication style, data-backed expertise signals, and patient-reported outcomes to connect people with therapists who are genuinely right for them.

Principles that guide us:

• Matching quality is the foundation of therapeutic outcomes — we obsess over getting patients to the right provider
• We ship fast and learn fast, but we protect patient trust above all else
• We build for the whole marketplace: patients, providers, and payers
• ML powers our systems, but empathy drives our product

The Problems You'll Solve

This role exists because we have hard, specific challenges that need senior engineering leadership to crack. Here's what your first year looks like:

Build an ML-powered matching system from the ground up. Our current matching is largely filter-based. We need to move to ML-powered ranking that incorporates provider communication style, expertise signals, and patient outcome data — without degrading the patient experience during the transition. You'll define the technical strategy for how we get there and own the execution across multiple pods.

Rearchitect team topology as the product evolves. We have four pods today, but the boundaries between ranking, activation, and onboarding will shift as we move toward intelligent matching. You'll need to evolve team structure, ownership boundaries, and technical interfaces as the product changes shape. This includes scaling the org from ~18 to ~25+ engineers while maintaining velocity and quality.

Close the gap between engineering output and patient outcomes. We have patient funnel metrics (intake-to-match, match-to-book, book-to-retained) but engineering doesn't yet co-own them tightly enough with Product and Data. You'll establish the operating model where engineering, product, and data science jointly own these metrics in a true triad — not one where engineering is an execution arm.

Define how your teams build software in the AI era. This isn't about adding a bullet point on AI tooling. You'll set concrete standards for how your ~30 engineers use AI-assisted development — how it changes code review, testing strategy, onboarding, and potentially team composition. You'll also own the AI/ML strategy for the product itself: where we use ML models vs. heuristics, how we handle explainability in a healthcare context, and how we build patient trust in AI-driven recommendations.

Key Responsibilities

• Set engineering strategy for the core patient experience in partnership with Product and Data Science leadership
• Lead 3 Engineering Managers; scale the org from ~18 to ~30+ engineers over the next 18 months
• Co-own patient funnel metrics with your Product and Data counterparts — not just deliver against them
• Drive delivery of ML-powered ranking, reimagined patient onboarding, and patient activation systems
• Build an engineering culture with clear standards for velocity, quality, and technical excellence — starting with honest assessment of where we fall short today

What You Bring

Required experience:

• 10+ years of software engineering experience, 5+ years managing engineering managers
• Led engineering for a consumer or marketplace product where search, matching, ranking, or personalization was core to the business
• Scaled an engineering org through a high-growth phase (25+ to 50+) while maintaining velocity and quality
• Technically strong enough to make sound architecture calls on ranking/ML systems, marketplace infrastructure, and consumer-facing surfaces — you don't write code daily, but you can review a system design and spot the problems
• Experience shipping ML-powered product features (search ranking, recommendations, personalization) at consumer scale
• Track record of moving business metrics (conversion, retention, engagement) through engineering-product partnership, not just delivering features on time
• Comfort working in a regulated industry where you can't just ship fast — you need to reason about bias, explainability, and patient safety in ML systems
• Practiced perspective on AI-augmented engineering workflows — you've led teams through adoption of AI development tools and have opinions on what changes and what doesn't

Nice-to-have:

• Healthcare experience or other regulated industries where data sensitivity and clinical consequences raise the stakes
• Experience with marketplace dynamics (supply/demand balancing, multi-sided incentive design)
• Experience building LLM-based product features (conversational interfaces, intelligent triage, AI-assisted workflows)
• Experience rethinking team structure or hiring profiles in response to AI productivity gains

Our Stack

Our platform runs on Python (Django/FastAPI) and TypeScript/React on the frontend. Elasticsearch powers search and ranking. PostgreSQL and Redis handle data storage and caching. We use dbt and Snowflake for data pipelines, Temporal for workflow orchestration, and custom ML models for matching. Everything runs on AWS.

You won't be writing code daily, but you'll need to engage deeply enough with these systems to make sound technical and organizational decisions.

You'll Love This Role If You Want To

• Solve a genuinely hard problem at the intersection of ML, marketplace dynamics, and healthcare — where getting matching right has real clinical consequences
• Shape an engineering org during a foundational transition, with high autonomy and strong executive support
• Co-own patient outcomes, not just engineering output
• Work at a company where the mission isn't marketing copy — patients are actually getting access to therapy they couldn't get before

Compensation and Benefits:

The expected base pay range for this position is $264,000 to $330,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

The Work

Fullstack at Headway means end-to-end ownership. You're building reliable abstraction layers over a fragmented healthcare system and translating them into seamless, empathetic user experiences. What you could work on:

• Therapist Practice Management: Build a best-in-class platform for Headway therapists to run their businesses. You'll own features from the database schema to the UI, creating intuitive web experiences for scheduling, AI-assisted clinical documentation, and payment management.
• Patient & Provider Engagement: Deepen the relationship between patients and their care. Build the interfaces and APIs that power seamless communication, personalized experiences, and tools that keep patients connected to their providers — and providers focused on what matters most.
• The Modern AI-Enabled Clinical System: Help design and build the systems that manage clinical data. Create high-integrity experiences for treatment plans and progress notes, integrating AI-powered clinical intelligence to give providers their time back.
• Frictionless Onboarding: Turn the historically painful process of insurance credentialing into a sleek, consumer-grade experience. Build products and tooling to get providers in-network and scaling their practice in record time.
• Growing the Network: Own the tools and experiences that expand Headway's reach — from acquiring new providers to empowering existing ones to bring their patients onto the platform. Build the infrastructure that fuels sustainable, high-quality growth.
• Technical foundations: Help the teams see around corners and lay the technical foundations for the future of our product. Build systems, tools, and processes that enable the team to ship innovative products quickly, safely, and reliably.
• Strategic leadership: As a Staff Engineer, you will work with a cross functional leadership team to shape the roadmap and technical strategy for the space.

#LI-BM1

The Work

Fullstack at Headway means end-to-end ownership. You’re building reliable abstraction layers over a fragmented healthcare system and translating them into seamless, empathetic user experiences. What you could work on:

• Therapist Practice Management: Build a best-in-class platform for Headway therapists to run their businesses. You'll own features from the database schema to the UI, creating intuitive web experiences for scheduling, clinical notes, and payment management.
• Patient-First Experiences: We’re moving toward a patient-centric model. Transform the therapist search experience by building the frontend interfaces and backend APIs that power personalized care recommendations, longitudinal data views, and seamless patient-provider matching.
• The Modern AI-enabled Clinical System: Help design and build the interfaces and systems that manage clinical data. Build high-integrity experiences for treatment plans and progress notes, integrating AI-powered clinical intelligence to give providers their time back.
• Frictionless Onboarding: Turn the historically nightmare process of insurance credentialing into a sleek, consumer-grade web experience. Build products and tooling to get providers in-network and scaling their practice in record time.

Our Stack

• Languages: TypeScript, Python 3
• Frontend: React, Remix, Next.js
• Backend & Storage: FastAPI, SQLAlchemy, Postgres, Redis, Snowflake
• Infrastructure: AWS, Temporal, Kafka
• Ops: Datadog, Sentry, PagerDuty
• AI Tools: Cursor, Claude, Gemini, Eddy (our in-house cloud agent harness)

Who You Are

• End-to-End Product Builder: You care just as much about the API architecture as you do the user experience. You seamlessly context-switch between backend logic and frontend state management.
• Owns Outcomes, Not Tasks: You've been handed ambiguous problems and turned them into shipped software. You know how to define the solution, pull in the right people across teams, and keep things moving when priorities shift.
• Sets the Technical Standard: You make technical decisions that optimize for maintainability and scale, not just shipping speed. You proactively improve your team's engineering velocity - whether that's refining tooling, improving automation, or establishing patterns that prevent entire categories of bugs.
• Mentor by Default: You pull engineers into design discussions without being asked. Your code reviews teach, not just gatekeep. You make sure knowledge gets shared across the team, not siloed in one person's head.
• Ships Fast, Iterates Faster: You can move from problem statement to working solution quickly. You'd rather ship a good v1 this week than a perfect v1 next month. Real feedback from therapists and patients is worth more than another round of design review.
• Quick Study in Complex Domains: Healthcare is a maze of payers, regulations, and exceptions. You don't need prior healthcare experience, but you need to be someone who dives into unfamiliar domains and builds a working mental model fast.
• Motivated by Impact: You want your engineering skills applied to problems that matter. Mental healthcare access is broken in America, and you want to be part of fixing it.
• Communicates with Precision: Whether it's a Slack thread, a design doc, or a cross-team meeting, you communicate clearly and concisely. You know that great engineering is wasted if you can't bring people along.
• AI Frontier Tinkerer: You don't just use AI tools - you push their limits. You've experimented with applying LLMs to real workflows, whether that's code generation, operational automation, or developer tooling. You bring a builder's mindset: what can we automate, what should stay human, and how do we ship it responsibly in healthcare?

Our Interview Process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll do a live coding interview with Karat, our technical interviewing partner. It's a great opportunity to showcase your problem-solving skills and learn more about what our engineering team is building.
• Final rounds: You’ll meet several team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits

• Salary: $168,300 - $237,500 base salary plus a competitive equity package.
• Comprehensive Benefits: Medical, dental, vision, HSA/FSA, 401(k), Carrot Fertility reimbursement, and 16-week parental leave.
• The Mission: We reimburse your therapy and provide a professional development budget. We believe in what we’re building.
• Time Off: 13 holidays, a full week off in December, and flexible PTO.

The Work

Backend at Headway involves high-stakes logic. You’re building a reliable abstraction layer over a fragmented healthcare system. What you could work on:

• The Modern AI-enabled Clinical System: Help design and build the systems that store and manage clinical data. This isn't just a database; it's a high-integrity system for treatment plans, progress notes, patient history, and AI-powered clinical intelligence - from session transcript-to-note generation to automated summaries that give providers their time back.
• The Insurance Billing Engine: We apply AI pragmatically (blog) to reduce administrative burdens for providers and handle the burden of traditional billing workflows. You’ll scale the systems that handle the unique, often nonsensical rules of every major insurance payer to accurately estimate and file claims hundreds of thousands of times per month. 
• Patient-First Infrastructure: We’re moving toward a patient-centric model. Build the backend services that power personalized care recommendations, health tracking, and longitudinal data views as well as innovative user experiences to help patients find a therapist that meets their needs
• Financial Integrity: Work on the ledger systems that ensure 70,000+ providers get paid accurately. This requires building for idempotency and strict consistency in a multi-party marketplace.

Our Stack

• Languages: Python, TypeScript
• Storage: Postgres, Redis, Snowflake
• Infrastructure: AWS, Temporal
• Ops: Datadog, Sentry, PagerDuty
• AI Tools: Cursor, Claude, Gemini, Eddy (our in-house cloud agent harness)

Who You Are

• Owns Outcomes, Not Tasks: You've been handed ambiguous problems and turned them into shipped software. You know how to define the solution, pull in the right people across teams, and keep things moving when priorities shift.
• Sets the Technical Standard: You make technical decisions that optimize for maintainability and scale, not just shipping speed. You proactively improve your team's engineering velocity - whether that's refining tooling, improving automation, or establishing patterns that prevent entire categories of bugs.
• Mentor by Default: You pull engineers into design discussions without being asked. Your code reviews teach, not just gatekeep. You make sure knowledge gets shared across the team, not siloed in one person's head.
• Ships Fast, Iterates Faster: You can move from problem statement to working solution quickly. You'd rather ship a good v1 this week than a perfect v1 next month. Real feedback from therapists and patients is worth more than another round of design review.
• Quick Study in Complex Domains: Healthcare is a maze of payers, regulations, and exceptions. You don't need prior healthcare experience, but you need to be someone who dives into unfamiliar domains and builds a working mental model fast.
• Motivated by Impact: You want your engineering skills applied to problems that matter. Mental healthcare access is broken in America, and you want to be part of fixing it.
• Communicates with Precision: Whether it's a Slack thread, a design doc, or a cross-team meeting, you communicate clearly and concisely. You know that great engineering is wasted if you can't bring people along.
• AI Frontier Tinkerer: You don't just use AI tools - you push their limits. You've experimented with applying LLMs to real workflows, whether that's code generation, operational automation, or developer tooling. You bring a builder's mindset: what can we automate, what should stay human, and how do we ship it responsibly in healthcare?

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll meet with an engineer on the team to do some live coding and learn more about the engineering team.
• Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits

• Salary: $168,300 - $237,500 base salary plus a competitive equity package.
• Comprehensive Benefits: Medical, dental, vision, HSA/FSA, 401(k), Carrot Fertility reimbursement, and 16-week parental leave.
• The Mission: We reimburse your therapy and provide a professional development budget. We believe in what we’re building.
• Time Off: 13 holidays, a full week off in December, and flexible PTO.

#LI-BM1

AI Software Engineer – Cloud AI Platforms

At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.

What’s the role all about?

As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.

This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.

How will you make an impact?

• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity

Key Responsibilities

• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally

What we’re looking for

• 5+ years of software engineering experience, strong focus on full-stack web development
• Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
• Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
• High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment
• Communicate effectively with both technical and non-technical stakeholders

Nice to have

• Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
• Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
• Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience with sandboxed execution environments for safely running AI-generated code
• Built research tools, experimentation platforms, or scientific software
• Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
• Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
• Experience building automation or internal platforms
• Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
• Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
• Experience with alternate JS runtimes — Bun, Deno
• Built open-source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)

Representative Projects

Things you might build in this role:

• Interfaces for collecting and managing human feedback on model outputs at scale
• Experiment orchestration platforms — launch, monitor, and analyze complex AI research runs
• Visualization tools that help understand model behavior and identify failure modes
• Reusable components and frameworks that enable rapid development of new AI applications
• Sandboxed execution environments for safely running AI-generated code
• AI-powered personalization engines — tutoring, content generation, adaptive features
• Workflow builders that let non-engineers orchestrate AI capabilities visually
• Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

About the Role:

As a member of the Product and Engineering team at PitchBook, you will be part of a team of big thinkers, innovators, and problem solvers who strive to deepen the positive impact we have on our customers and our company every day. We value curiosity and the drive to find better ways of doing things. We thrive on customer empathy, which remains our focus when creating excellent customer experiences through product innovation.

We know that greatness is achieved through collaboration and diverse points of view, so we work closely with partners around the globe. As a team, we assume positive intent in each other’s words and actions, value constructive discussions, and foster a respectful working environment built on integrity, growth, and business value. We invest heavily in our people, who are eager to learn and constantly improve. Join our team and grow with us!

As an Engineering Manager, Machine Learning (ML) Operations in the Technology & Engineering division, you will be responsible for leading and managing PitchBook’s MLOps team. The team is responsible for enabling PitchBook’s Machine Learning teams and practitioners by providing tools and golden paths that optimize all aspects of the Machine Learning Development Life Cycle (MLDLC). Your team’s work will support projects in a variety of domains, including Generative AI (GenAI), Large Language Models (LLMs), Natural Language Processing (NLP), Classification, and Regression. Your role will be critical in driving AI (Artificial Intelligence) innovations across the organization.

Primary Job Responsibilities:

• Lead the MLOps team direction and execution (operations, processes, practices, and standards), working closely with engineering leadership and product management to craft roadmaps, define KPIs, and achieve success criteria
• Ensure effective communication and coordination across geographically dispersed teams. Oversee the enablement of scalable solutions that meet high standards of reliability and efficiency
• Champion the adoption and integration of ML best practices at PitchBook, fostering a culture of innovation and experimentation to drive the development of high-quality AI products
• Serve as a force multiplier by removing roadblocks, implementing process improvements, providing frequent and actionable feedback to team members, and building practices for ideation and innovation
• Bridge the gap between business/product needs and execution, including building and delivering on group-level objectives and key results, identifying resource needs, and building execution plans for initiatives
• Ensure MLOps roadmap items are delivered on time and have exceptional quality
• Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities
• Describe technical content in intuitive ways for a variety of audiences, adapting communication from highly technical deep dives with engineers to non-technical dialogue with executive stakeholders
• Establish and drive a culture founded on creating belonging, psychological safety, candor, connection, cooperation, and fun
• Understand how to apply agile, lean, and principles of fast flow to team efficiency and productivity 
• Support the vision and values of the company through role modeling and encouraging desired behaviors 
• Participate in various company initiatives and projects as requested 

Skills and Qualifications:

• Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, or a related field
• 3+ years of experience in an engineering leadership role, managing globally distributed teams
• 6+ years of experience in hands-on development of Machine Learning algorithms
• 6+ years of experience in hands-on deployment of Machine Learning services
• 6+ years of experience supporting the entire MLDLC, including post-deployment operations such as monitoring and maintenance
• 6+ years of experience with Amazon Web Services (AWS) and/or Google Cloud Platform (GCP)
• Experience with at least 70%: PyTorch, Tensorflow, LangChain, scikit-learn, Redis, Elasticsearch, Amazon SageMaker, Google Vertex AI, Weights & Biases, FastAPI, Prometheus, Grafana, Apache Kafka, Apache Airflow, MLflow, and KubeFlow
• Ability to break large, complex problems into well-defined steps, ensuring iterative development and continuous improvement
• Experience in cloud-native delivery with a deep practical understanding of containerization technologies such as Kubernetes and Docker, and the ability to manage these across different regions
• Proficiency in GitOps and creation/management of CI/CD pipelines
• Demonstrated experience building and using SQL/NoSQL databases
• Demonstrated experience with Python (Java is a plus) and other relevant programming languages and tools
• Excellent problem-solving skills with a focus on innovation, efficiency, and scalability in a global context
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions
• Ability to be a team player who can also work independently
• Experience working across multiple development teams is a plus
• Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily 
• Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Health            

• Comprehensive health benefits
• Additional medical wellness incentives 
• STD, LTD, AD&D, and life insurance

Emotional Health 

• Paid sabbatical program after four years
• Paid family and paternity leave 
• Annual educational stipend
• Ability to apply for tuition reimbursement
• CFA exam stipend 
• Robust training programs on industry and soft skills 
• Employee assistance program
• Generous allotment of vacation days, sick days, and volunteer days 

Social Health 

• Matching gifts program
• Employee resource groups
• Subsidized emergency childcare  
• Dependent Care FSA
• Company-wide events
• Employee referral bonus program  
• Quarterly team building events

Financial Health 

• 401k match
• Shared ownership employee stock program 
• Monthly transportation stipend  

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.

Compensation

• Annual base salary: $240,000-$300,000
• Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week. 

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

#LI-TK1

#LI-Onsite

Software Engineer – Backend, Pricing (Senior level or higher)

Toronto

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

Compensation range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-DM

Software Engineer – Backend, Pricing (Senior level or higher)

Seattle, WA

About the Team

The Pricing team is the engine behind Opendoor’s ability to price homes with speed, scale, and confidence. We build the core platform that turns data, models, and business logic into the prices that power our entire business.

We own mission-critical services and data infrastructure that support pricing decisions and automation. Our systems must be fast, accurate, and resilient—because small improvements can translate into major business impact.

As a software engineer on the team, you’ll collaborate with data scientists, machine learning engineers, product managers, and partner engineering and operations teams to turn ideas into resilient, production-ready systems. You’ll see your work move from design to deployment quickly and have meaningful ownership over how our pricing platform evolves and how we shape the future of real estate.

What You’ll Do

• Own the design, implementation, and evolution of core pricing services
• Design data models and write high-performance SQL over large PostgreSQL datasets
• Architect and improve APIs and integrations with Opendoor’s core marketplace platform
• Lead technical design reviews and set best practices for code quality, testing, and observability
• Partner with data science to productionize pricing models and build robust model-serving pipelines
• Drive reliability, latency, and scalability improvements across pricing systems
• Mentor other engineers and help grow the technical capabilities of the team
• Collaborate with product and cross-functional partners to define and deliver roadmap projects end to end

What You’ll Need

• 5+ years of professional backend software engineering experience
• Significant experience building and operating production systems in Go or Python
• Deep proficiency with SQL and relational databases (PostgreSQL preferred)
• Strong track record designing, building, and evolving APIs in a microservices environment
• Experience with distributed systems concepts (scalability, consistency, resiliency, monitoring)
• Experience leading technical projects from design through rollout and support
• Ability to communicate complex technical decisions clearly to both technical and non-technical stakeholders

Nice to Have

• Experience with Kafka or similar event-streaming technologies
• Experience using AI-assisted development tools (e.g. Claude Code, Cursor AI, Github Copilot)
• Experience with BPMN or other workflow engines and long-running business processes
• Experience with Redis or other caching / storage optimization technologies
• Experience with gRPC and service-to-service communication patterns at scale
• Prior experience in pricing, marketplaces, or other data-intensive domains

Compensation

The base pay range for this position is $176,000-$282,000 annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

About this role: 

Building for trust is non‑negotiable in our mission of making mental healthcare more accessible and affordable across the US: patients share sensitive information, payers demand demonstrably strong controls, and providers depend on reliable, secure infrastructure. Trust Foundations is responsible for instilling confidence in our products by safeguarding our user’s data. We achieve this by developing out-of-the-box identity, access, and secure-data platforms for other engineering teams to utilize. Our mission is to make the most secure path the most efficient path, enabling clinicians, patients, and payers to trust Headway implicitly.

This team is growing and we are hiring for multiple roles at both mid/senior levels. As a Software Engineer/Senior Software Engineer on our Trust Foundations team, you’ll be working on 0-1 access control (RBAC/ABAC), OAuth 2.0/OIDC platforms while shaping the long‑term vision for trust at Headway. You will translate open identity and authorization standards into scalable building blocks; embed privacy‑by‑design and reliability principles into everything we build; and mentor engineers across the company in Trust first thinking.

What you’ll do here:

• Design, build, and operate core trust primitives - authentication providers, authorization engines, data governance, stratified encrypted data stores, and tamper‑evident audits.
• Embed security & privacy by design - Partner with Legal / Compliance to translate regulatory language into concrete engineering controls.
• Scale our identity rails -  Design and evolve multi‑tenant authentication & authorization services that handle millions of sessions daily with high availability expectations.
• Deliver scalable, secure platform foundations -  Design and build 0-1 shared services, implement consistent access control patterns that enable product teams to move quickly while ensuring security-by-default (least‑privilege access, encryption in transit and at rest, audit hooks).
• Turn ambiguous requirements into incremental delivery plans - Lead architecture reviews; break large problems into testable milestones; and make pragmatic build‑vs‑buy decisions in a regulated domain.
• Champion operational excellence - Instrument services, tune alerting, own on‑call runbooks, and drive post‑incident hardening.
• Elevate engineering culture -  Mentor teammates, document patterns, and help recruit the next generation of Headway engineers.

Who you are: 

• Security Mindset: You are passionate about cybersecurity and protecting access to sensitive user data. 
• Cross functional Collaboration - you have demonstrated effective collaboration working with product, infosec and compliance teams. 
• A track record of mentoring engineers, elevating design quality, and improving engineering processes.
• Secure Architecture: You think of security platforms, not as a gate, but as an enabler of secure product development. 
• Dealing with ambiguity: You are comfortable working with and bringing clarity to ambiguous requirements. 

Preferred (not required) experience: 

• 3+ years of experience working in data governance and access control systems (RBAC/ABAC) compliant with HIPAA, HITRUST, SOC2 etc
• 3+ years of experience working with third party IdPs and expertise with OAuth 2.0 / OIDC standards.
• 3+ years of experience with Python, TypeScript and AWS.

About Engineering at headway:

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide.  The engineering team at Headway is a small but mighty team using technology to build that future (and have a fun time while doing it!).

Principles that guide us:

• Focus on the mission - We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing.
• Ship small, learn fast - We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration.
• Everything is a product - Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
• Optimize for trust - We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Tools we use:

• Languages: Python 3, TypeScript
• Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty, Sentry
• Version Control: Github, PagerDuty
• Vulnerability Management: Snyk, Semgrep
• Cloud Security: Lacework

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll meet with an engineer on the team to do some live coding and learn more about the engineering team.
• Final rounds: You’ll meet several more team members for technical and non-technical interviews and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $168,300 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include:

Equity Compensation

• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

#LI-SC1

About Engineering at Headway

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide.

Principles that guide us:

• Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing. 
• Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration
• Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
• Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Tools we use:

• Languages: Python 3, TypeScript
• Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty, Sentry
• Version Control: Github, PagerDuty
• Vulnerability Management: Snyk, Semgrep
• Cloud Security: Lacework

About these roles

At Headway, we’re building a national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Supporting providers isn’t just about connecting them with patients — it’s about delivering the tools they need to manage their practice with ease, confidence, and compliance.

Our providers are the heart of Headway’s mission — and empowering them with an easy-to-use platform is critical to both their success and the quality of care patients receive. Whether it’s saving providers time, simplifying documentation, or ensuring compliance, this role is at the center of our providers’ lives. As an engineering leader at Headway, you will be responsible for leading and growing the engineering pods behind our provider experiences through people development, strategic planning, and hands-on technical support or guidance. You get to play a leading role in defining what and how these teams build, setting up how the teams operate, support, and ultimately drive best-in-class user experiences that have a measurable impact on our ability to execute and meet the demands of a high growth startup. 

We are hiring for 3 Engineering Managers within the Provider group -

Group Practices EM: Group Practices represents a substantial portion of our provider network and have specific needs to run their practice. This team is responsible for continuing to grow the Group Practices segment and enabling group practice providers and their administrative staff to operate efficiently on Headway.

CHART EM: Responsible for ensuring providers have the tools they need to efficiently document their clinical care. From AI-supported clinical documentation features, to tools for psychiatrists to manage their patient's medications, this team is streamlining the way therapists record their care.

Practice Foundations EM: We are evolving how we support a highly diverse provider network. Providers work in very different ways, and this team is responsible for building differentiated experiences that meet providers where they are, while also encouraging high-quality care and strong engagement with the Headway platform

Who you are

We’re looking for experienced engineering team leaders and people managers who are product-minded, data-informed, and energized by growth. As an Engineering Manager at Headway, you will work closely with Engineering Leadership, Product, Marketing, RevOps, and Design to shape the future of our provider acquisition strategy. This is an exciting opportunity for a passionate, mission-aligned engineering leader to make an immediate impact at a high-growth company.

• Lead and manage an engineering team focused on provider acquisition and growth (starting with 2–3 engineers and scaling over time)
• Partner closely with cross-functional stakeholders to build systems that enable rapid experimentation and long-term scale
• Collaborate with the Onboarding team to ensure a seamless end-to-end provider experience from first touch to first appointment
• Drive alignment across your team on process, prioritization, and product outcomes
• Develop and grow your team through weekly 1-1s, mentorship, and feedback
• Work with and help develop aspiring engineering leaders within the engineering team
• Contribute to the broader company strategy and product roadmap

Below are additional experiences we think help engineering managers succeed at Headway:

• You have 3+ years of experience as an experienced Engineering Manager
• You have 3-5+ years of experience as a Software Engineer
• You’re energized by experimentation and growth — and can balance short-term learning with long-term scale
• You have a strong product mindset and have built strong cross-functional relationships that drive optimal user experiences and build trust with users
• You have a strong technical foundation that allows you to ensure your team is making appropriate technical decisions
• You have a track record of building and leading high performing teams that have effectively delivered business outcomes through technical investments
• You have a track record of working well across teams and functions
• Nice to have: Prior experience with Python and React and working with AWS infrastructure
• Nice to have: Experience in health tech, building user-facing products
• BS, MS in Computer Science or related field

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First rounds: You'll meet with an engineering leader on the team to go deeper into your team and people leadership experiences and complete one technical (systems design) interview.
• Final rounds: You’ll meet team members across product and engineering leadership for multiple behavioral interviews, leaving you with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $190,000 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

Benefits offered include:

• Equity Compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

About Engineering at Headway

Building a new mental healthcare system at Headway is only possible because of the scale and leverage that software can provide. The engineering team at Headway is a small (~120) but mighty team using technology to build that future (and have a fun time while doing it!).

Principles that guide us:

• Focus on the mission: We view software as a means of effecting change in the world, not as an end unto itself. We write software to empower our patients and therapist to better solve the problems they’re facing. 
• Ship small, learn fast: We are building new and novel products and believe that we learn what our users need by quickly shipping and iteration
• Everything is a product: Whether it's our patient search experience or a developer productivity improvement, we treat everything we build at Headway as a product with end-users in mind.
• Optimize for trust: We believe that engineers should be continually learning. To learn effectively and to be productive, engineers must feel safe asking questions and discussing mistakes.

Tools we use:

• Languages: Python 3, TypeScript
• Libraries & Frameworks: FastAPI, SQLAlchemy, React, Remix, Next.js
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty, Sentry
• Version Control: Github, PagerDuty
• Vulnerability Management: Snyk, Semgrep
• Cloud Security: Lacework

About this role

This role sits at the intersection of growth, product development, and marketing. You’ll have the freedom to innovate and experiment while collaborating with a diverse group of cross-functional partners from across the company. This is an opportunity to tackle complex, rewarding problems in a highly collaborative, supportive environment that values technical excellence and operational rigor. You’ll build systems that help patients discover and access mental health care, directly improving lives and transforming the healthcare landscape. Your work in this role will shape how thousands of patients connect with care, making a lasting impact on Headway’s mission to reimagine mental healthcare access for all.

As an engineering leader at Headway, you will be responsible for leading and growing the team behind these core growth initiatives through people development, strategic planning, and hands-on technical support. You’ll play a leading role in defining what and how these systems are built, setting up how the team operates, and ultimately driving best-in-class experiences that convert interest into action.

This is a critical leadership role for Headway and our mission to make mental healthcare more accessible. 

Provider Growth Pod

Supporting providers isn't just about connecting them with patients — it starts much earlier, with helping them discover Headway and understand the value we provide. Our providers are at the heart of Headway's mission — and enabling more of them to join our platform is critical to expanding access to care. This role is focused on building the tools, systems, and experiences that help providers learn about Headway, express interest, and begin their journey. From our referral engine and marketing web experiences to lead capture and routing infrastructure, you'll be responsible for the end-to-end technical foundation that drives provider acquisition. By helping more providers discover, trust, and join Headway, you'll directly impact both provider supply and patient access.

Who you are

We're looking for experienced engineering team leaders and people managers who are product-minded, data-informed, and energized by growth. As an Engineering Manager at Headway, you will work closely with Engineering Leadership, Product, Marketing, Design, Data, and RevOps to shape the future of our growth strategy. This is an exciting opportunity for a passionate, mission-aligned engineering leader to make an immediate impact at a high-growth company.

Responsibilities:

• Lead and manage an engineering team focused on growth
• Partner closely with cross-functional stakeholders to build systems that enable rapid experimentation and long-term scale
• Partner closely with Product, Design, Marketing, Data to rapidly iterate through A/B testing
• Collaborate with activation and onboarding teams to ensure a seamless end-to-end user experience from first touch to first appointment
• Drive alignment across your team on process, prioritization, and product outcomes
• Develop and grow your team through weekly 1-1s, mentorship, and feedback
• Work with and help develop aspiring engineering leaders within the engineering team
• Contribute to the broader company strategy and product roadmap
• Help build out our engineering team as our headcount grows from 120 to 175+ through the remainder of the year

Below are additional experiences we think help engineering managers succeed at Headway:

• You have 3+ years of experience as an Engineering Manager at a high-growth startup or scale-up, building and leading high performing teams that have effectively delivered business outcomes through technical investments
• You have 5+ years of experience as a Software Engineer
• You're energized by experimentation and growth — and can balance short-term learning with long-term scale
• You have a strong product mindset and have built strong cross-functional relationships that drive optimal user experiences and build trust with users
• You have a strong technical foundation that allows you to ensure your team is making appropriate technical decisions
• You are flexible and adaptable; you understand that the best growth teams must learn and iterate quickly, and that growth roadmaps are dynamic as a result
• Nice to have: Prior experience with SEO and paid advertising
• Nice to have: Prior experience with Python and React and working with AWS infrastructure
• Nice to have: Experience in health tech, building user-facing products
• BS, MS in Computer Science or related field

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First rounds: You'll meet with an engineering leader on the team to go deeper into your team and people leadership experiences and complete one technical (systems design) interview.
• Final rounds: You’ll meet team members across product and engineering leadership for multiple behavioral interviews, leaving you with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation and Benefits:

The expected base pay range for this position is $190,000 - $237,500, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

Headway’s mission is a big one – to build a new mental health care system everyone can access. We’ve built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 

1 in 4 people in the US have a treatable mental health condition, but the majority of providers don’t accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. 

Headway was founded in 2019. Since then, we’ve grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We’re a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation.

We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better.

About the role

The Trust team at Headway is focused on security and privacy for all of Headway’s customers - therapists, patients, and payers (ex: insurance companies and health systems). As an early member on the team, you’ll have the unique opportunity to be the builder and driver of our dedicated, in-house product and application security engineering efforts. In this role, you will partner closely with our product and engineering teams to ensure that our application is designed and developed securely so that we can maintain and grow customers’ trust in Headway. 

What you’ll do at Headway:

• Partner with Product and Engineering: Headway has many new product launches on the horizon that will transform the industry and have a rich data component. You will be a partner at both the design and development stage to ensure that we implement new features securely, including (but not limited to): 
• Participating in the implementation efforts
• Doing security reviews
• Helping with product design decisions
• Auditing and surfacing vulnerabilities in our current products 
• Develop and Improve our Automated Tooling: Further enhance our automated tooling to scale our application security capabilities and find potential code problems both before and after we deploy.
• Make the safe way, the easy way: Work on defining and building application guardrails so that developers can build securely by default. You also will work to instill a culture of secure development across engineering. 
• Assist in ongoing security operations: You will be part of the security and privacy team and have responsibilities to assist in incident response, vulnerability management, penetration testing, security reviews, and other operational tasks to ensure that our security program is operating at a world-class level.

Tools we use:

• Cloud Security: Lacework
• Languages: Python 3, TypeScript
• Libraries: FastAPI, SQLAlchemy, React
• Datastores: Postgres, Redis
• Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka
• Monitoring: Datadog, PagerDuty
• Version Control: Github
• Vulnerability Management: Snyk, Semgrep

You’ll be great for this role if you have:

• Have 0 → 1 security experience: You have 5+ years experience in security and/or software engineering roles with a demonstrated history of working on security-related projects or with responsibilities as a security generalist.
• Strong cross-functional experience: You love partnering with other teams to help both teams achieve their goals.
• Strong technical depth and breadth: You have technical experience with building secure platforms and products at a deep level. You are excited to perform security design and code reviews. You want to understand security systems and improve their efficiency and scalability. 
• Thrive in ambiguity: You love tackling ambiguous problems in a fast-paced environment with an optimistic and energizing attitude.
• Innovation at Scale: You seek opportunities to lead the industry in implementing the latest security and privacy technologies.
• Results driven: You care deeply about creating impact and driving results for Headway’s business.
• Mission driven: You are motivated by Headway’s mission, increasing access to high quality mental health care.

Our interview process

After you apply to Headway, here are some details of what to expect during the interview process.

• Initial screen: You’ll connect with someone in recruiting so you can learn more about the team, Headway’s mission and exciting growth, and we can get a better idea of your background. 
• First round: You'll meet with a member of our Security Engineering team for introductions and an architecture interview. Conducted similarly to a System Design interview, we’ll learn more about your knowledge of the role of security in engineering systems and web architecture.  
• Final rounds: You’ll meet several more team members for technical and non-technical interviews, including our CISO who this role reports to, and leave with a fuller picture of what it’s like to work at Headway.
• References and the Offer: Our favorite part of the process! We'll send over all of the details, including specifics on employee equity, and congratulatory messages from excited future team members!

Compensation & Benefits:

The expected base pay range for this position is $218,500 - $273,125, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential.

• Benefits offered include:
• Equity compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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