About the role

Join us to build the measurement and decision engine for patient growth.

As a Staff Data Scientist, Growth, you will be the senior analytical and strategic leader who makes marketing performance legible, credible, and actionable. You will partner closely with Growth Marketing leadership and channel owners across paid, lifecycle, and organic, plus Finance, Product, and Engineering. Your job is to help Headway answer the questions that matter:

• What is truly incremental?
• Where should we invest next?
• What is driving performance shifts?
• How do we scale what works without fooling ourselves?

You will build the frameworks, analyses, and modeling approaches that enable the marketing team to move faster with confidence. This is high-stakes decision support for a growth engine that needs to compound and certainly not a dashboard-only role or “just attribution” role. 

What you will do

• Own incrementality measurement across channels. Design and analyze geo tests, holdouts, lift tests, and quasi-experimental approaches when randomized tests are not feasible. Define clear guardrails, decision rules, and what “good” looks like.
• Build a marketing measurement system that leaders trust. Define canonical metrics (CAC, LTV, payback, conversion, retention, capacity-adjusted ROI), ensure definitions are consistent, and create a clear measurement narrative that aligns Marketing, Finance, and Product.
• Turn ambiguity into a plan. When performance changes, you will diagnose why, quantify contributing drivers, and recommend concrete actions. You will be the person who can say, “Here’s what moved, here’s why we believe it moved, and here’s what we do next.”
• Develop and evolve modeling approaches where they create leverage. Build practical models such as LTV and retention forecasting, cohort value prediction, causal uplift models for lifecycle, and marketing mix modeling when appropriate. Focus on models that survive contact with reality: calibration, backtesting, and decision usefulness.
• Partner with Engineering on the measurement plumbing. Improve event instrumentation, identity resolution assumptions, offline conversion integration, and data quality monitoring so measurement is robust. Advocate for minimal, decision-critical requirements that unlock reliable learning.
• Design learning loops that scale. Create repeatable experimentation and analysis templates for channel and creative testing, including measurement of message by audience by surface. Increase testing velocity without lowering the truth standard.
• Influence strategy, not just reporting. Bring an evidence-based point of view on channel allocation, growth constraints, saturation, diminishing returns, and the tradeoffs between short-term acquisition and long-term retention and care outcomes.
• Uplevel the team. Mentor analysts and data scientists working on growth, set quality standards, and help establish best practices across experimentation, causal inference, and forecasting.

What will make you successful

• 10+ years using data science, analytics, and experimentation to drive decisions in marketing, growth, or marketplace environments (or equivalent scope and demonstrated impact).
• Deep expertise in causal inference and incrementality in real-world marketing systems: you know the failure modes (selection bias, channel cannibalization, platform noise, attribution myths) and how to design around them.
• Strong SQL plus strong proficiency in Python or R, with the ability to build reliable, reusable analytical workflows.
• Practical modeling skill, especially as applied to marketing and growth: cohorting, forecasting, LTV estimation, saturation and diminishing returns, MMM concepts, calibration and monitoring.
• Track record of influencing executive decisions with clear recommendations and measurable outcomes, not just analysis.
• Excellent communication: you can make complex measurement logic understandable and defensible to non-technical partners, and you can call out uncertainty without losing momentum.
• High ownership and strong judgment: you prioritize what changes decisions, you move quickly, and you know when to slow down because the risk is real.
• You are motivated by the mission. Access and affordability in mental healthcare are not abstract problems here.

Nice to have

• Experience with geo experiments, marketplace constraints, or capacity-aware marketing optimization.
• Experience measuring acquisition quality beyond conversion: downstream engagement, retention, clinical matching quality, and unit economics.
• Familiarity with lifecycle marketing measurement (incrementality, uplift, experimentation design for messaging).
• Experience partnering with Finance on budget allocation, payback, and scenario planning.
• Comfort working with imperfect identity, privacy constraints, and evolving attribution ecosystems.

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, 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

As Senior Data Science Manager for Customer Experience, you will define and lead the insights strategy for Headway’s customer experience ecosystem. The team’s mission is to deliver timely, meaningful support when it matters most through best-in-class tooling, automation, and AI.

You will report into Headway’s Platform Group, a mission-critical pillar that ensures the systems behind our insurance platform reliably power patient, provider, and payer experiences. World-class support is a core part of customer experience and essential to Headway’s growth. 

You will partner closely with Product, Engineering, and Customer Experience to deeply understand and improve the customer support experience. You will define the right questions, proactively uncover opportunities, and use data to guide decisions from early concept through launch and iteration. You will set the standards for how we define support quality and effectiveness, ensuring your team delivers work that leads to real, measurable improvements.

You will:

• Lead and grow a high-performing team of Data Scientists, fostering a culture of technical excellence and strategic thinking. 
• Develop quarterly roadmaps with cross-functional partners, align Data Science resources, and oversee execution of timely and high-quality work.
• Drive insights and decisions through strategic analysis, reporting, predictive modeling, and experimentation.
• Architect a measurement framework that isolates how human agents, AI, and company policies contribute to customer sentiment to determine which levers we can pull to improve satisfaction. 
• Partner cross-functionally to design and build performance management systems to ensure world-class customer experience at scale.
• Stay close to the data by tackling strategic projects yourself, surfacing gaps in our data and understanding of our customers. 
• Translate complex technical findings into clear, actionable recommendations for executive stakeholders.

You will love this role if:

• You have 8+ years of experience in data science or analytics roles
• You have 3+ years of experience managing and developing teams
• You have experience working on customer experience, support systems, or service operations (highly preferred)
• You have proven success partnering cross-functionally with Product, Engineering, and Customer Experience
• You have deep expertise in measurement science and causal inference, especially Bayesian A/B testing, with the ability to coach others through complex experimental design
• You are proficient in forecasting and predictive modeling techniques
• You have hands-on technical fluency in SQL and Python or R
• You have experience adopting and championing AI-assisted tools to accelerate and automate data workflows
• You have strong communication and stakeholder management skills

Why This Role is Exciting

• You'll shape analytics for the Customer Experience at Headway, informing the vision and roadmap for improving support operations and product at scale.
• You'll play a key role in how automation and AI reduce friction and improve support experiences
• You'll partner closely with senior leadership and directly influence company strategy and growth

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, 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

Patients are at the center of Headway’s mission — and analytics plays a critical role in how we serve them. As the Director of Data Science, Patient you will lead the data science organization that helps Headway build an extraordinarily successful consumer brand and patient marketplace, with a relentless focus on measurable growth and patient impact. You will be the data science peer to senior leaders across Product, Growth Marketing, Operations, Finance, and Clinical, and you will set the standards and direction for how we evaluate acquisition, conversion, retention, and outcomes. This is a senior leadership role for a driver who can turn ambiguity into clarity, build a high-performing team, and create the insight engine that makes a consumer healthcare business win.

In this role, you will: 

Shape a world-class patient product experience

• Partner with product, engineering, and operations to deeply understand the patient journey and identify the highest-leverage opportunities to improve discovery, conversion, and cures.
• Lead the analytics approach for product changes: clarify goals, define success metrics and guardrails, diagnose trade-offs, and ensure learnings drive roadmap decisions.
• Build strong segmentation and cohort understanding to explain who we serve best, where drop-offs happen, and what experiences drive long-term value.

Build the patient growth and marketing analytics engine

• Own the analytics strategy for consumer acquisition and performance marketing, ensuring we can evaluate channel effectiveness, creative performance, conversion quality, CAC efficiency, and incrementality.
• Partner with Growth Marketing and Finance to improve budget allocation decisions through clear measurement, forecasting inputs, and crisp performance narratives.
• Establish an operating cadence that makes marketing performance, funnel health, and unit economics legible to leaders, and turns weekly learning into action.

Run a high-velocity learning system

• Establish a rigorous experimentation culture across marketing and product, including clear hypotheses, fast iteration loops, strong guardrails, and decision-oriented readouts.
• Create repeatable “insight to action” mechanisms: standardized deep dives, performance narratives, and decision memos that accelerate leadership alignment.

Scale an elite team

• Lead, coach, and develop a team of data scientists and data science managers; set clear expectations for ownership, communication, and impact.
• Recruit and retain world-class talent and build an org structure that scales from 6 - 8 people to roughly double that size through 2026.
• Build strong managers and tech leads, and create a culture that is rigorous, curious, and relentlessly focused on business outcomes.

Own standards for truth and clarity

• Define and enforce metric standards across the patient funnel so teams align on what matters and can confidently compare performance over time.
• Ensure stakeholders have trustworthy self-serve reporting and clear definitions, minimizing time spent debating numbers.

Marketing analytics priorities (core to the role)

• Performance marketing measurement: channel performance, creative learning, funnel conversion, landing experiences, and attribution.
• Incrementally and causal measurement: designing tests and analyses that distinguish correlation from true impact.
• Budget and efficiency narratives: CAC, payback, cohort quality, saturation effects, and marginal ROI.
• Growth diagnostics: identifying why performance changed, what levers matter, and what actions will improve results.

You'll be a great fit if:

• You have 10+ years of experience in data science/analytics, growth analytics, marketing analytics, product analytics, or data-driven strategy, including 6+ years leading and scaling teams.
• You have built analytics that materially improved consumer growth outcomes: acquisition efficiency, conversion, retention, and product-led expansion.
• You have strong marketing analytics instincts and can partner credibly with Growth leaders on channels, creative, attribution, and incrementality.
• You can translate messy consumer journeys into clear metrics, crisp narratives, and high-quality decisions, without slowing teams down.
• You are an exceptional leader and coach with a track record of hiring world-class talent and building high-performance teams.
• You bring intellectual honesty and strong judgment, and you can push back when measurement is weak or narratives are wrong.
• You have deep expertise in experimentation design, statistical inference, and causal methods such as CUPED, diff-in-diff, synthetic controls, or propensity modeling
• Experience partnering cross functionally to drive measurable improvements in user experience or product performance
• Comfort with ambiguity and a bias toward action, clarity, and iteration
• You are motivated to advance Headway’s mission to make mental healthcare more accessible and affordable across the United States

Compensation & Benefits:

The expected base pay range for this position is $249,600 - $312,000, 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

#LI-AC1

About Data Engineering at Headway 

Headway is looking for a Staff Data Engineer to help us get closer to executing our mission: to create access to affordable, quality mental healthcare across the United States. 

The Data Engineering Team is the foundational engine of our data-driven organization. We are a high-impact group of engineers focused on delivering reliable, high-quality data assets at enterprise scale. Our work is centered on transforming raw data into business-ready intelligence through robust ETL/ELT pipelines, advanced data modeling, and rigorous data quality frameworks. We operate with a strong engineering discipline, partnering closely with Data Scientists, Analysts, and core Software Engineering teams to ensure data is not just available, but completely trustworthy for every critical decision and product feature.

About this role

As a Staff Data Engineer, you will be a hands-on technical leader, architect, and mentor, responsible for defining the future state of our data infrastructure. This role focuses on setting architectural direction, establishing organization-wide data standards, and driving the design of highly scalable and optimized data models. You will lead complex, multi-functional initiatives, focusing on data quality governance and the maturity of our pipelines. You will be expected to influence our technology choices, mentor other engineers, and act as the primary technical interface between the Data Engineering team and senior stakeholders across the business.

You Will Love This Role If You Have: 

• 9+ years of experience in data engineering, with a proven track record of architecting and shipping progressively more complex, large-scale data products.
• Expert-level proficiency in our modern data stack, including Snowflake, dbt, Apache Airflow, and Python. You are capable of defining best practices and architectural patterns across these tools.
• Deep mastery of advanced data modeling techniques and their application within production systems to achieve high performance.
• Architectural Ownership: Proven ability to define the technical roadmap for the entire data platform, working horizontally to influence architectural decisions and technical debt management across multiple engineering teams.
• Engineering Elevation: A strong track record of mentoring, coaching, and elevating the technical skills, code quality, and engineering maturity of other data engineers.
• 2+ years of Marketplace Experience: Prior experience in the marketplace or two-sided platform is a significant plus.

Compensation & Benefits:

The expected base pay range for this position is $212,000 - $265,000, 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

Join us to build the truth engine behind better mental health outcomes.

As a Senior Staff Data Scientist, Bayesian Experimentation and Causal Inference, you will be the company-wide owner of how Headway learns from data, especially when the stakes are high and the signal is noisy. You will report directly to the Head of Data and serve as a core leader for standards, frameworks, and decision quality across Product, Growth, Ops, and Finance.

Your work will set the default methods for how we answer questions like:

• Did this actually cause the outcome we care about?
• How sure are we, and what should we do given that uncertainty?
• What evidence is strong enough to change strategy, policies, or spend?

A major objective of this role is to build and institutionalize a clear map of “what we know” about patients, providers, and payers, with explicit confidence levels that tie directly to business action. Think of it as a shared language that prevents the organization from treating a correlation like a law of physics, while still moving fast.

What you will do

• Own causal inference and experimentation standards across Headway. Define the canonical approaches, guardrails, documentation, and review mechanisms for experiments and quasi-experiments, including when and how to use Bayesian methods.
• Build the confidence ladder for company knowledge. Create a clear, shared framework that maps findings to levels of confidence (for example 1–10), where lower levels reflect correlation and early directional evidence, mid levels reflect increasingly credible causal inference, and the highest levels reflect stable, repeatable, decision-grade truths. Operationalize it so it shows up in artifacts teams actually use: PRDs, launch reviews, growth planning, quarterly business reviews, and postmortems.
• Design the learning strategy for our hardest questions. Lead the approach for ambiguous, high impact domains like provider activation and retention, payer economics and policies, patient conversion and engagement, and marketplace dynamics. Recommend the right combination of randomized experiments, stepped rollouts, geo tests, natural experiments, and observational designs.
• Raise the organization’s statistical maturity. Introduce and standardize Bayesian experimentation practices where it improves speed and decision quality (priors, posterior interpretation, sequential decision rules, credible intervals, expected value framing). Build training, playbooks, and reusable tooling.
• Be the escalation point for difficult measurement problems. Tackle issues like interference and spillovers, network effects, selection bias, noncompliance, measurement error, multiple comparisons, seasonality, and Simpson’s paradox showing up in real life and causing confusion.
• Partner with Data Platform and Engineering to make rigor scalable. Ensure experimentation and inference are supported by instrumentation, logging, metric definitions, semantic layers, and monitoring. Help define the minimal foundations required for trustworthy learning.
• Build a culture of clear claims. Establish norms for separating facts, estimates, assumptions, and uncertainties. Make it easy for teams to say “we do not know yet” without losing momentum, and easy for leaders to understand what is safe to act on.
• Mentor and set the bar. Coach other data scientists and analytics leaders. Create review standards for causal work, support hiring for methodological depth, and represent Headway’s measurement philosophy internally and externally when appropriate.

What will make you successful

• 12+ years of experience applying causal inference, experimentation, and advanced statistics to real-world product, growth, or operational decisions (or equivalent depth demonstrated through scope and outcomes).
• Deep expertise in causal inference across randomized and observational settings, including practical strategy for when clean experiments are not possible.
• Deep expertise in Bayesian methods for experimentation and decision-making, and strong judgment about when Bayesian approaches outperform frequentist defaults and when they do not.
• Strong SQL and strong proficiency in Python or R, including building reusable analysis tools and improving team workflows.
• Track record of setting org-wide standards that materially improved decision quality and execution velocity.
• Executive-level communication and influence: you can drive alignment across Product, Growth, Ops, Finance, and Engineering.
• Comfort operating in ambiguity, and the ability to turn it into crisp frameworks, clear recommendations, and measurable outcomes.
• Motivation for our mission: improving access and affordability in mental healthcare.

Nice to have

• Experience in marketplaces, healthcare, insurance, or other regulated and complex incentive systems.
• Experience with experimentation under interference and network effects.
• Experience building experimentation platforms, analysis libraries, or statistical tooling used broadly across an organization.
• Familiarity with causal graphs, uplift modeling, and decision theory framing (expected value, value of information).

Compensation and Benefits:

The expected base pay range for this position is $249,600 - $312,000, 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

#LI-MG1

About the role

Join us to build the decision engine for better mental health outcomes.

As a Staff Data Scientist, Product Analytics, you will be a senior technical and strategic leader for how Headway measures, learns, and improves. You will own the hardest and most ambiguous product questions, shape how we define success, and drive decisions that cut across multiple teams and product surfaces. You will not only run the analyses, you will influence what we build, how we evaluate it, and how we scale what works.

This role is for someone who can zoom in to debug a metric definition and zoom out to design a measurement strategy for a major product area, then bring the organization along with them.

What you will do

Everything in the Senior role, plus:

• Own a product measurement strategy. Define north star and input metrics for a major product area (or multiple surfaces), align stakeholders on definitions, and build conviction in what “good” looks like.
• Lead multi-team initiatives. Drive cross-functional work where the right answer is not obvious and the path is not linear, and ensure we land measurable outcomes.
• Set the experimentation standard. Establish frameworks for test design, guardrails, decision rules, and interpretation that improve both speed and rigor across teams.
• Develop evaluation systems for complex products. For areas like matching, ranking, or applied AI experiences, build measurement approaches that combine offline evaluation, online experiments, and human-quality signals when needed.
• Build scalable analytical assets. Invest in durable measurement systems: semantic definitions, self-serve dashboards, monitoring and alerts, and repeatable templates that reduce ad hoc work.
• Mentor and uplevel. Coach other data scientists and analytics partners, provide strong technical review, and model what great looks like.
• Be a thought leader. Proactively identify opportunities, shape roadmaps with an evidence-based POV, and create clarity where teams feel stuck.

What will make you successful

• 10+ years using data to drive product or business decisions in product, growth, engineering, or operations environments (or equivalent depth of experience and scope).
• Expert fluency in SQL and strong proficiency in Python or R, including building reliable, reusable analysis workflows.
• Deep expertise in Bayesian experimentation, causal inference, and measurement design, including common failure modes and how to prevent them.
• Strong applied modeling judgment: you know when a model is the right tool, and you can build, validate, and launch responsibly.
• A track record of leading ambiguous, cross-team work and delivering measurable outcomes (not just insights).
• Excellent executive communication and influence: you earn trust, align stakeholders, and move decisions forward.
• Strong product sense and an instinct for decision leverage: you focus on what changes outcomes, not what is merely interesting.
• Motivation for our mission: improving access and affordability in mental healthcare.

Compensation and Benefits:

The expected base pay range for this position is $212,000 - $265,000, 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

#LI-MG1

About the Data Engineering Team

Headway is looking for a Senior Data Engineer to help bring us closer to our mission: creating access to affordable, quality mental healthcare across the United States.

Data is foundational to that mission. It powers everything from critical business decisions to the systems that support patients, providers, payers, and internal teams. The Data Engineering team builds and maintains the infrastructure that makes this possible. We partner closely with stakeholders across the company - including Finance, Insurance Systems, Analytics, Product, and Data Science - to ensure that Headway's data platform is scalable, reliable, and secure.

As a Senior Data Engineer, you'll help shape the future of our data architecture. You’ll work cross-functionally to design and implement robust data pipelines, define and uphold data governance standards, and ensure our platform is built to meet the growing needs of the business.

In this role, you will:

• Design, build, and maintain scalable data pipelines and infrastructure to support internal stakeholders and core business functions
• Define, develop, and refine data governance, monitoring, and quality standards across the company
• Partner with Product and Engineering to advocate for best practices in data engineering and ensure data needs are addressed early in the product lifecycle
• Work cross-functionally with Analytics, Data Science, and Infrastructure to continuously evolve Headway’s data architecture
• Own and drive technical decisions across the data platform, contributing to everything from performance optimization to infrastructure-as-code

You will love this role if you have:

• 6+ years of experience as a data engineer, with a track record of building scalable systems and solving complex data problems in a fast-paced tech environment
• Proficiency in Python and SQL
• Experience with tools and services that encompass a modern data platform stack, such as Snowflake, dbt, Airflow, Fivetran, and Terraform
• Familiarity with visualization tools like Metabase or Jupyter Notebooks is a plus!
• A pragmatic approach to building for both today’s needs and tomorrow’s scale
• A strong sense of ownership and a bias toward action, especially in the face of ambiguity
• Empathy for your teammates and stakeholders, and a collaborative mindset that values working across disciplines
• Passion for Headway’s mission to make mental healthcare more accessible and affordable

Compensation and Benefits:

The expected base pay range for this position is $180,000 - $225,000, 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