Senior Security Engineer, Data Infrastructure

Grow Therapy; Seattle (WA); On-site; USD 152,000 - 250,000; Full time

Benefits offered by this job

Comprehensive Health Coverage

Parental Leave & Family Support

Financial Wellness

Meals & Home Office Support

Time Off to Recharge

Wellness & Development

Mental & Physical Health Support

Extra Perks

Job summary

Grow Therapy is seeking a Senior Security Engineer to oversee the data security infrastructure, ensuring the protection of sensitive data. You will build and define the vision for security frameworks while collaborating with various teams.

This position offers a hybrid work arrangement, requiring three onsite days weekly in Seattle, NYC, or San Francisco, and includes comprehensive benefits such as health coverage and flexible PTO.

Qualifications

• Comfortable writing production code, designing data pipelines and services.
• Built security or data infrastructure that real teams depend on.
• Experienced in data-security stack.

Responsibilities

• Own a clear vision for data security infrastructure.
• Build automated classification and tagging pipelines.
• Control how data is used internally.
• Secure the data path into AI tooling.
• Design and ship encryption infrastructure.

Skills

Hands-on data infrastructure engineer

Data classification

Masking/tokenization

Encryption and key management

Risk reduction

Clear communication

Job description

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care. Powered by technology, we are a three-sided marketplace that empowers providers, augments insurance payors, and serves patients. Following the mass increase in depression and anxiety, the need for accessibility is more important than ever. To make our vision for mental healthcare a reality, we’re building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021, we’ve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. We’ve raised more than $328M in funding, including our Series D, at a $3B valuation from Sequoia Capital, Transformation Capital, TCV, SignalFire, Menlo Ventures, Goldman Sachs Alternatives, and others.

The Opportunity

We're looking for a Senior Security Engineer to own the data security infrastructure at Grow Therapy, the systems that determine how sensitive data is classified, protected, and safely governed across the company. Our customers trust us with some of the most sensitive data there is, and it's our responsibility to honor that trust by treating it with the highest standards of security. You'll be the hands‑on technical owner of the infrastructure that makes that possible and the person who makes protecting that data the easy, default path for the rest of the company. Reporting into the Head of Security and partnering closely with Data, Engineering, and our Detection & Response team, this is a role that requires both building and strategizing: you'll ship the pipelines and services yourself and define what great data security looks like a year out, then make it real. Security sits within Grow's Internal Foundations pillar — the team building company-wide infrastructure to support safe AI adoptio, so you'll be architecting the data‑protection foundation that every other team, and every AI tool, builds on top of.

What You’ll Be Doing

• Define what data security looks like a year from now — then build it. Own a clear, opinionated vision for Grow's data security infrastructure: where the biggest risks are, what “secure by default” means for sensitive data, and the roadmap to get there.
• Make data classification executable. Build the automated classification and tagging pipelines that scan our production data models, infer sensitivity, and propagate those tags through data lineage — aligning with our Data Classification Policy so that every downstream system can act on classification automatically rather than guess.
• Control how data is used internally. Build field‑level dynamic masking, tokenization, and redaction — driven by classification tags — so that sensitive data is exposed only when there's a genuine need, and access is scoped, justified, and logged. Make masked‑by‑default the path of least resistance for the tools teams build on top of our data.
• Secure the data path into AI tooling. We’re an AI forward organization. You'll own the security of the data connectors and pipelines feeding AI tools — including authentication, authorization, observability. Your role will be to ensure Grow can take advantage of new AI technologies safely and appropriately.
• Build fast, safe, and scalable encryption pipelines. Design and ship the encryption infrastructure that protects our most sensitive data end to end — application‑layer and field‑level encryption, envelope encryption, key management — engineered to be fast and scalable enough that teams reach for it by default rather than around it.

You’ll Be a Good Fit If

• You’re a hands‑on data infrastructure engineer. You're comfortable writing production code, designing data pipelines and services, and doing system design reviews, and you've built security or data infrastructure that real teams depend on.
• You’ve worked deep in the data‑security stack. You've built meaningfully across some combination of data classification, masking/tokenization, encryption and key management, and secure data access, and you can connect into a coherent system.
• You can set direction and then execute on it. You're energized by a blank canvas: you can define what success looks like a year out, prioritize ruthlessly toward it, and inspire partner teams to support you in this goal.
• You think in terms of risk reduction, not checkboxes. You instinctively reach for the highest‑leverage control on the largest surface, and you'd rather make the secure path the default.
• You’re a clear, compelling communicator. You can explain data‑security tradeoffs and risk to non‑technical audiences — including executives and clinical stakeholders — with precision, empathy, and confidence.

Employment Type

Full Time, Exempt

Base Compensation

• Hybrid Commitment: $182,000 - $250,000 USD Annually
• Fully Remote Commitment: $152,000–$208,000 USD Annually

This role can be hybrid (onsite from our NYC, San Francisco, or Seattle hub location three days per week: Tuesday, Wednesday, Thursday) or fully remote. Both arrangements include travel 2–3 times per year (e.g., company and department offsites).

Full Time Employee Benefits

• Comprehensive Health Coverage: Medical, dental, and vision insurance, plus life and disability coverage.
• Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend.
• Financial Wellness: 401(k) program and equity opportunities.
• Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals, with tailored perks for both remote and in‑office employees.
• Time Off to Recharge: Flexible PTO, 12 paid holidays, and a full winter break week.
• Wellness & Development: Annual stipends to put towards personal & professional growth.
• Mental & Physical Health Support: No-cost access to therapy through the Grow platform, weekly flexible hours for self‑care (“Mental Health Mornings/Afternoons”) and memberships to leading wellness apps (such as One Medical, Headspace, and Talkspace).
• Extra Perks: Pet insurance discounts, commuter benefits, and global travel assistance.

Research shows that some groups hesitate to apply unless they meet every qualification. If you’re excited about this role but don’t check every box, we encourage you to apply. At Grow, we value diverse experiences, transferable skills, and the unique strengths each person brings.

Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

Use of AI Tools: By submitting your application, you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically, we use a third‑party AI tool, Gem, to assist in the initial screening of resumes. This tool analyzes resumes based on role‑specific criteria provided by our recruiters to identify potentially strong matches for the role. Importantly, no hiring decisions are made by the AI tool. All decisions about which candidates move forward are made by our human recruiting team after independent review. More information about Gem’s approach to compliance with California FEHA regulations on automated decision systems and New York Local Law 144 can be found on the Gem compliance website. We are committed to transparency and fairness in our hiring practices. If you have questions about how our AI tools work, or would like more information about how your application will be processed, please contact us at [e-mail].

Compensation Range: $152K - $250K