Title: Frontend Engineer, Platform Location: New York City United States, San Francisco; New York City; Seattle Employment Type Full time Location Type Hybrid Department TechnologyEngineering Compensation $182K – $250K 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 $328Mm 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 building a dedicated Frontend Platform team, and we're looking for a Frontend Engineer who loves working on the systems that every product team builds on. You'll own the design system and the horizontal web foundation - the shared components, patterns, architecture, and tooling that let every team ship consistent, high-quality experiences without reinventing the basics. This is the engineering layer underneath Grow's product surface. As we consolidate into a modern Next.js architecture and launch a major new consumer brand, the platform you build is what makes everyone else faster - and what keeps the experience cohesive as we scale. It's a foundational role on a new team, with real room to shape how web engineering works at Grow. What You'll Do - Own and evolve our design system - architecture, tokens, theming, governance, and the patterns product teams rely on, in close partnership with Design Engineering - Build the horizontal web foundation: shared components, frameworks, and the architecture that product teams build features on top of - Improve performance, accessibility, and consistency across all web surfaces - making quality the default rather than something each team re-solves - Develop the tooling and developer experience that help product teams move quickly and confidently, including an AI-forward approach to frontend development - Partner with product and engineering teams to bring platform capabilities into their workflows, and contribute improvements back from real product needs - Create the documentation and guidance that make all of the above easy to adopt You'll Be a Good Fit If You: - Have 5+ years of frontend or full-stack engineering experience, with a track record of work that other engineering teams depended on - Have experience building or scaling design systems, component libraries, or shared frontend infrastructure - with an instinct for horizontal impact over one-team feature work - Bring enough product sensibility to build a platform people actually want to use - you understand the product surface your work powers - Are fluent in modern frontend technologies (JavaScript/TypeScript, React, Next.js, CSS systems) - Think in systems - seeing patterns, simplifying complexity, and designing for reuse across teams - Have a strong understanding of accessibility (WCAG) and web performance as shared, systemic concerns - Are comfortable with AI-assisted development (AI tools are part of our daily workflow and our interview loop) - Communicate clearly and influence engineering and UI standards across teams - Bring a founder's mindset: ownership, speed, pragmatism, and bias toward action Bonus Points: - You've worked with experimentation/feature-flagging, localization (i18n), or accessibility tooling at a systems level - You have monorepo or frontend build tooling experience (Turborepo, Nx, Vite) - You were a product engineer before moving toward platform - you understand both sides Why This Role Matters As Grow scales, every product team ends up re-solving the same horizontal problems - consistency, performance, accessibility, shared components. This team removes that friction so product teams can focus on the experience. The web is becoming the primary surface for millions of clients, and the platform you build is the foundation that lets us ship a consumer-grade experience, fast, without sacrificing quality. Employment Type: Full Time, Exempt Base Compensation: The base compensation range for this position is: - Hybrid Commitment: $182,000-$250,000 USD Annually This role is hybrid, onsite from our NYC, San Francisco, or Seattle hub location. The base compensation for this role will vary depending on several factors, including relevant experience, qualifications, and the candidate's working location. 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 talentops@growtherapy.com. If you require an accommodation due to a disability, or have concerns about the use of AI in the hiring process, please also contact us. We are happy to provide assistance or offer an alternative method of participating in the recruitment process.

• Lead the investigation and resolution of complex infrastructure, networking, and platform-related incidents. • Act as a senior escalation point for operational teams during critical service-impacting events. • Support large-scale NVIDIA GPU infrastructure and high-performance networking environments. • Troubleshoot complex Linux, Kubernetes, networking, storage, and hardware-related issues. • Analyze platform performance, capacity, stability, and reliability trends to proactively identify risks. • Lead root cause analysis activities and drive long-term corrective actions. • Collaborate with engineering teams, hardware vendors, and datacenter personnel to resolve complex technical challenges. • Participate in major incident management and service restoration activities. • Provide technical leadership for Kubernetes platform operations and supporting infrastructure services. • Drive improvements in platform reliability, observability, monitoring, and operational processes. • Identify opportunities to automate repetitive operational activities and improve operational efficiency. • Contribute to operational readiness reviews, infrastructure changes, upgrades, and service introductions. • Support the adoption and operation of AI-powered infrastructure services and operational capabilities through k0rdent AI. • Evaluate emerging technologies and operational practices to improve service delivery and platform resilience. • Mentor and support AI Infrastructure & Platform Operations Engineers. • Share technical knowledge through documentation, training sessions, and operational reviews. • Develop and maintain operational standards, runbooks, troubleshooting guides, and best practices. • Help define operational processes, escalation paths, and service reliability standards. • Act as a trusted technical advisor during operational planning and service improvement initiatives.

Role Description Provide dedicated, long‑term engineering ownership of core Quadient and Groovy‑based processing, onboarding workflows, and shared communication components. Act as a persistent platform capability enabling scalable onboarding and consistent communications delivery across the enterprise. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Develop, enhance, and maintain Groovy scripts, Quadient business logic, templates, and shared data‑alignment components used across CCM compositions. - Support onboarding workflows by configuring communication setups, data mappings, template builds, and application of standardized composition patterns. - Partner with TPOs, business stakeholders, and implementation teams to translate requirements into reusable, scalable technical solutions. - Support production readiness by assisting with communication reviews, approvals, and readiness validation. - Troubleshoot communication build issues, routing and orchestration logic defects, variance detection failures, and batch/job‑processing problems. - Serve as a floating technical resource to support and train new onboarding teams as they come online (tools, processes, template operations). - Contribute to ongoing documentation, playbook refinement, and continuous improvement initiatives to strengthen platform stability and reuse. - Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI. Qualifications - 3+ years of experience in developing and maintaining Groovy scripts, Quadient business rules, templates, and shared components. Requirements - Undergraduate degree or equivalent experience. - 5+ years of hands-on experience using the Quadient Suite of tools (e.g., Quadient Inspire, Interactive, Scaler) in an enterprise CCM environment. - Proven experience supporting end-to-end communication onboarding, including data mappings, template configuration, and application of standardized composition patterns. - Experience troubleshooting CCM build issues, routing/orchestration logic, variance detection, and batch or job-processing failures. - Demonstrated ability to translate business and technical requirements into reusable, scalable platform solutions. - Experience working closely with Product Owners/TPOs, business stakeholders, and implementation teams in an Agile or hybrid delivery model. - Familiarity with production readiness processes, communication reviews, approvals, and release validation. - Experience supporting or mentoring onboarding teams and contributing to platform documentation, playbooks, and continuous improvement initiatives. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). - Salary range from $91,700 to $163,700 annually based on full-time employment.

Role Description We are redefining the data foundation that powers Dayforce. As a Distinguished Database Platform Engineer, you will set the technical direction for how we design, scale, and operate our data platforms—spanning transactional systems and modern lakehouse architectures. This is a hands-on architectural role for a technical leader who thrives on solving complex data challenges, influencing engineering at scale, and modernizing data platform engineering through cloud, automation, and AI. - Define and drive the architecture of highly scalable, resilient data platforms across OLTP and analytical systems - Lead the evolution of Lakehouse architecture, supporting unified data and analytics - Own performance, reliability, and scalability across critical database platforms through deep, hands-on expertise - Guide adoption of modern platforms and tooling (e.g., Databricks, cloud-native services, automation frameworks) - Partner with engineering and data teams to shape data models, access patterns, and platform capabilities - Influence technical strategy and raise engineering standards across the organization - Lead hands-on investigation and resolution of complex customer database and data lake performance, reliability, and data consistency issues, including direct analysis of production systems when needed Qualifications - Expert-level experience with large-scale database platforms (e.g., SQL Server, PostgreSQL) in production environments - Strong background in modern data architecture and distributed data systems - Experience with Databricks and cloud data platforms (AWS, Azure, or GCP) - Familiarity with both relational and NoSQL systems (e.g., MongoDB) - Deep expertise in performance tuning, scalability, and high-availability design - Proven ability to operate as a technical leader—setting direction while remaining hands-on - Comfort leveraging AI and automation to improve database platform operations and engineering productivity - 10+ years of experience designing, operating, and optimizing large-scale production database platforms - Deep hands-on expertise with enterprise relational database technologies such as Microsoft SQL Server and PostgreSQL - Strong experience with distributed data systems and modern data architectures, including Data Lake, Delta Lake, or Lakehouse platforms - Experience troubleshooting complex database performance, scalability, reliability, and data consistency issues in production environments - Experience with cloud platforms and cloud-native data services (AWS, Azure, or GCP) - Strong understanding of high availability, disaster recovery, backup/recovery, indexing, query optimization, performance tuning, Change Data Capture, and Event Driven systems. - Experience working with automation, observability, and infrastructure-as-code approaches for platform operations - Proven ability to influence technical direction and collaborate effectively across engineering, infrastructure, and data teams - Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience Requirements - Experience with Databricks and modern Lakehouse implementations supporting unified analytics and operational workloads - Experience with NoSQL technologies such as MongoDB or other distributed document/key-value databases - Experience designing and operating platforms that support both transactional and analytical workloads at enterprise scale - Experience modernizing legacy database environments into cloud-native or hybrid architectures - Demonstrated technical leadership in architecting shared platform capabilities, standards, and engineering best practices - Experience leveraging AI-assisted tooling or automation to improve operational efficiency, troubleshooting, and engineering productivity - Experience mentoring senior engineers and leading cross-functional technical initiatives - Experience designing secure data platforms with strong governance and access-control models - Familiarity with compliance frameworks and data residency requirements (SOC2, GDPR, HIPAA, etc.) - Expertise with encryption, secrets management, auditing, and zero-trust approaches - Advanced cloud, database, or data engineering certifications are considered an asset - Experience in large-scale SaaS, HCM, fintech, or other highly regulated enterprise software environments is an asset Benefits - Medical, dental, vision, and life insurance - 401k plan (plus match) - Global Employee Stock Purchase Plan - Unlimited Time Away From Work (in lieu of accrued vacation time) - 10 paid US holidays - Up to 80 hours of paid sick time - 17 weeks of paid parental leave, subject to the terms of the applicable policy or program - Opportunities for community impact, including volunteer days and charity initiatives