We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

Who we are

“Welcoming”, “Collaborative” and “Having the opportunity to make an impact” - is how our employees describe working here.  Galileo is a financial-technology company that provides innovative and revolutionary software products and services that power some of the world's largest Fintechs. We are the only payments innovator that applies tech and engineering capabilities to empower Fintechs and financial institutions to unleash their full creativity to achieve their most inspired goals. Galileo leads its industry with superior fraud detection, security, decision-making analytics and regulatory compliance functionality combined with customized, responsive and flexible programs to accelerate the success of all payments companies and solve tomorrow's payments challenges today. We hire energetic and creative employees while providing them the opportunity to excel in their careers and make a difference for our clients. Learn more about us and why we work here at www.galileo-ft.com. 

The role:

You will steward the 'building blocks' of modern fintech. Our APIs empower clients to build unique financial experiences, meaning your team's work directly powers the innovation of some of the world's largest fintechs.

What you’ll do:

• Build the Golden Path: Design and deliver reusable frameworks and shared infrastructure that help product squads ship secure, observable, and compliant services by default.
• Create Platform Abstractions: Identify repeated implementation patterns and turn them into modular platform components that reduce duplication and simplify service development.
• Improve Traceability and Observability: Drive adoption of common telemetry and request-correlation patterns so teams can troubleshoot and operate services more effectively.
• Advance Contract-First Development: Help make technical contracts the source of truth for service development, with tooling that keeps implementation, documentation, and schemas aligned.
• Raise the DX (Developer Experience) Bar: Build platform tools that teams adopt because they are faster, clearer, and easier to use than bespoke alternatives.
• Navigate Trade-offs Well: Make sound technical decisions that balance standardization, delivery speed, and the practical needs of individual teams.
• Partner Across Teams: Work closely with engineers, managers, and adjacent platform teams to align on patterns, priorities, and rollout plans.
• Mentor Through Practice: Coach engineers through design reviews, code review, docs, and shared implementation work; help maintain core platform libraries and support an innersource contribution model.

What you’ll need:

• Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience.
• Distributed Systems Experience: 8+ years of experience designing and scaling resilient software systems, ideally with strong Python experience.
• Platform Mindset: Experience building shared libraries, services, proxies, or frameworks used by internal engineering teams.
• Modern SDLC Depth: Hands-on experience with CI/CD, automated testing, schema validation, and production delivery pipelines.
• Cross-Team Influence: A track record of driving technical direction and gaining buy-in from peer teams and stakeholders without direct authority.
• Cloud & Kubernetes Experience: Strong experience with AWS and Kubernetes-based environments.
• Pragmatic Engineering Judgment: Ability to identify when a problem should be standardized, abstracted, or left local.

Nice to have:

• Framework Expertise: Familiarity with Python Flask and/or FastAPI frameworks.
• Infrastructure as Code: Experience with Terraform for delivering standardized infrastructure templates.
• API Governance: Familiarity with OpenAPI/Swagger standards and the governance of large-scale API catalogs.
• Observability & Identity Experience: Experience with distributed tracing, metric taxonomies, and service-to-service authentication (S2SA) patterns.
• FinTech Experience: Domain knowledge in payment systems or highly regulated financial technology environments.

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

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.

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

The Opportunity

If you've worked alongside hardware teams, you know the damage that results from a missed change request or critical context that was never relayed to the right person. Reflow exists to close that gap. We're building the first AI-powered platform purpose-built for hardware product development, one that listens across the tools teams already use, maintains a structured picture of every program, and proactively coordinates across disciplines when things inevitably change.

This is a ground-floor opportunity for a hands-on backend engineer to build the core services and AI infrastructure powering this platform, with the support of a parent company leading innovation in engineering and manufacturing.

Who We're Looking For

We're seeking a backend engineer who ships reliable, well-designed systems and takes ownership of the services they build. The ideal candidate has production experience with Python, FastAPI, and PostgreSQL, and is comfortable building everything from REST APIs to background task pipelines to AI agent infrastructure. You should already be using AI coding tools like Cursor, Copilot, or Claude to accelerate your work, with excitement about building the backend that powers the first AI-native platform for complex hardware development.

This senior engineer will work alongside our engineering team, AI researchers, and head of product to build the services that turn unstructured inputs (call transcripts, emails, documents, datasheets) into structured engineering artifacts (requirements, project plans, dependencies), orchestrate ambient AI agents for proactive coordination, and serve real-time project intelligence to users. The role is hands-on - you will be coding daily while contributing to system design decisions and helping establish backend engineering best practices as we grow.

What You'll Do

Your day-to-day responsibilities will include:

● Designing and implementing RESTful APIs with OpenAPI specs and auto-generated client SDKs using SQLAlchemy and Postgres

● Developing ingestion pipelines using Celery and Redis that connect to tools teams already use (file storage, messaging, email) and extract structured engineering artifacts from unstructured inputs

● Building and extending agentic AI workflows using LangChain, LangGraph, and related frameworks for structured data extraction, risk detection, dependency analysis, and proactive team coordination

● Integrating LLM APIs (Anthropic Claude, OpenRouter) with streaming (SSE), error handling, and cost optimization

● Deploying and operating services on GCP (Cloud Run, Cloud SQL, Memorystore) with Terraform

● Writing well-tested, maintainable code and participating in code reviews to establish engineering best practices

Technical Requirements

Must Have:

● 5+ years building production backend systems, with 3+ years in Python

● Demonstrated proficiency using AI coding tools (Cursor, Copilot, Claude, etc.) to accelerate development

● Strong experience with FastAPI or similar async Python web frameworks

● Production experience with PostgreSQL, including schema design, migrations, and query optimization

● Hands-on experience with task queues and background processing (Celery, Redis, or similar)

● Understanding of API design, authentication patterns (OIDC/JWT), and service architecture

● Experience with containerized deployments (Docker) and CI/CD pipelines

● Ability to balance rapid iteration with maintainable, well-tested code

Highly Valuable:

● Have worked in early-stage 0 to 1 startup environments

● Production experience integrating LLM APIs (Anthropic, OpenAI, etc.) and building AI-powered features with agent orchestration frameworks (LangChain, LangGraph, or similar)

● Hands-on experience with GCP services (Cloud Run, Cloud SQL, Pub/Sub, Secret Manager) and Infrastructure-as-code experience with Terraform

● Experience with data ingestion pipelines and ETL workflows

● Background in B2B SaaS platforms, project management tools, or workflow automation products

● Understanding of hardware development, engineering workflows, or project management concepts (phases, gates, dependencies)

What We Offer

Real Impact: The opportunity to build purpose-built tooling for an entire industry that has never had it

Customer Access: Direct exposure to hundreds of real hardware projects annually through Re:Build's engineering and manufacturing companies

Technical Growth: Hands-on work with cutting-edge AI technologies solving novel technical challenges

Autonomy: Backed by Re:Build while operating with startup independence

Benefits: Full health/dental/vision, bonus program, generous 401K, paid time off, annual learning stipend

Equity & Growth: Participation in Re:Build's LTIP equity program and opportunity for founder equity in potential spin-out

Compensation & Location

Location: Remote-first, with preference for candidates in Boston, Seattle, Los Angeles, or other cities with Re:Build offices

Compensation: Base salary range of $165,000 to $215,000 with performance bonus and long-term incentive plan offered. Potential equity stake under independent spinout scenario.

Please note this role is restricted to US citizens or lawful permanent residents only due to exposure to export controlled information.

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We harness deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complementary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're using their combined

expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

We want to work with people that reflect the communities in which we operate

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

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

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

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

#LI-SC1

As a Senior Gen AI Engineer, Salesforce Platform you will lead the development of AI-powered solutions across our Salesforce platform to streamline end-to-end business operations. Partnering with the Manager of Salesforce Operations and the Principal AI Architect, you will implement orchestrated AI agents using Salesforce Einstein, Agentforce, and DataCloud, and deliver secure, scalable solutions via Apex, Visualforce, Lightning Web Components, and robust APIs.

You will leverage generative AI to enhance efficiency, reduce manual work, and create smarter systems and workflows across our organization.  Candidates with a deep understanding of business operations and workflows are strongly preferred.  You will play a critical role in delivering AI solutions and frameworks that drive transformative business value.  This is a unique opportunity for full-stack development to experiment and solve for multiple use cases, as well as an opportunity to help educate business stakeholders on the power of AI solutions.

You will: 

• Design, develop, and deploy generative AI solutions that modernize business operations—automating workflows, surfacing insights, and delivering intelligent recommendations with a balance of speed, functionality, and long-term scalability.
• Build, integrate, and operationalize AI agents and automations using Salesforce Agentforce (skills, actions, orchestration, guardrails) embedded within Sales, Service, and CPQ workflows.
• Implement Einstein/Agentforce solutions, including prompt flows, tools, and custom actions grounded in Salesforce Data Cloud for personalized retrieval and contextual experiences.
• Develop and secure APIs (REST/SOAP, Platform Events, Pub/Sub) to connect Salesforce with internal and external systems such as CPQ, CLM, provisioning, licensing, ERP, and finance platforms.
• Engineer data interoperability across systems—collaborating with architects and data teams to break down silos, build ETL pipelines, and establish automated data workflows.
• Build and deploy retrieval-augmented generation (RAG) patterns within Salesforce, implementing data indexing, grounding, safety measures, and evaluation loops.
• Collaborate closely with the Principal Architect and Principal AI Engineer to translate high-level business objectives into production-ready AI-powered solutions, ensuring alignment with architectural and engineering best practices.
• Prototype rapidly to validate new generative AI use cases and transition successful proofs-of-concept into stable, scalable, maintainable production applications.
• Contribute to full-stack development efforts—from API design to front-end UI—when implementing AI features across various business systems.
• Drive and contribute to CI/CD pipelines, code reviews, and release management using modern tooling (SFDX, GitHub Actions, Azure DevOps, etc.).
• Ensure compliance, data security, and governance across all AI and integration solutions, including considerations for PII, data residency, consent management, and auditability.
• Partner with business stakeholders (technical and non-technical) to understand requirements, gather feedback, and continuously improve AI-driven capabilities.
• Work alongside data scientists and AI specialists to evaluate and optimize prompt strategies, fine-tune models, and implement organization-specific AI enhancements.
• Lead knowledge sharing and enablement, mentoring teams and fostering adoption of AI technologies throughout the organization.
• Monitor, evaluate, and iterate on AI solution performance to ensure quality, accuracy, and measurable business value.
• Stay current on industry advancements in AI, automation, and Salesforce innovation, integrating relevant learnings into the organization’s technology roadmap.

What We’re Looking For: 

• Bachelor’s degree in computer science, Engineering, or a related field.
• 8+ years of Salesforce engineering experience and 3+ years delivering AI or automation solutions at scale within enterprise environments.
• Proven success modernizing legacy Salesforce orgs and implementing scalable architectures across Sales Cloud, Service Cloud, and Revenue (CPQ).
• AI & Automation:
  • Hands-on experience with Salesforce Einstein, Agentforce, and Data Cloud; practical AI engineering skills in prompt design, tool calling, RAG/grounding, evaluation, guardrails, and observability.
• Technical Skills:
  • Apex, Lightning Web Components (LWC), SOQL/SOSL, and Visualforce (for legacy support).
  • Proficiency in Python for AI service development, including FastAPI/Flask APIs, evaluation scripts, and LLM endpoint integration.
  • Strong API design and integration experience with Salesforce (bi-directional, streaming, and external APIs).
  • CI/CD experience using SFDX and modern tooling (GitHub Actions, Azure DevOps, etc.).
  • Familiarity with Azure or AWS cloud environments.
• Data Architecture:
  • Experience designing and managing data across Salesforce, Data Cloud, and other business systems including identity resolution, data sharing, and segment activation.
• Operational & Business Acumen:
  • Skilled in process mapping, workflow design, and identifying operational inefficiencies to enable AI-driven improvements.
• Change Enablement:
  • Experience driving adoption and integration of AI solutions across business functions.
• Excellent communication and presentation abilities with technical and non-technical stakeholders, including executives.
• Strong problem-solving, analytical, and troubleshooting capabilities.
• Collaborative, consultative mindset with the ability to translate business needs into technical solutions.
• Comfortable working autonomously in fast-paced, evolving environments.
• Embodies the principles of the Ideal Team Player: humble, hungry, and smart.
• Certifications:
  • • Required:
      • Salesforce Certified Platform Developer I & II.
    • Preferred:
      • JavaScript Developer I, Platform App Builder, Salesforce Certified Data Cloud Consultant or Platform Data Architect, and Salesforce Certified Integration Architect.
      • Trailhead Superbadges or credentials (Agentforce, Apex Specialist, Data Cloud)

Pay Range: $154,300-216,000

Other compensation: Bonus Eligible 

Perks & Benefits:  

💻 Remote work 

✈️ Travel expected 4-8 times per year for company-sponsored events 

🩺 Medical, dental, vision, life, and disability insurance 

📈 401K retirement plan; flexible spending and health savings account 

🏝️ 15 days of paid time off + additional front-loaded personal days 

🏖️ 14 company-recognized holidays + paid volunteer days  

👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave  

🌈 LGBTQ+ Health Services 

🐶 Pet insurance  

📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/  

 Remote with Moderate Travel (4- 8 trips per year) 

This is a remote position, and does require occasional travel, typically between 4-8 times per year. All travel expenses will be covered in accordance with company policy. 

The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements. 

We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.