Similar Jobs
About Calm
Calm is a leading consumer mental health company on a mission to support everyone on every step of their mental health journey. Known for its flagship consumer app—ranked #1 in its category with over 180 million downloads and availability in seven languages across 190 countries—Calm helps people sleep better, stress less, and live more mindfully through content and tools from experts and beloved celebrity voices. Building on this foundation, Calm has created a broader portfolio including evidence-based solutions like Calm Health, offered through employers, health plans and providers, designed to expand access to mental health and sleep support, boost benefits engagement, and drive positive health outcomes. Today, Calm supports more than 3,500 organizations and reaches over 17 million covered lives through Calm Health. Calm has been recognized as a TIME100 Most Influential Company and one of Fast Company’s Brands That Matter. Learn more at calm.com.
Location: We are hiring primarily remote team members for this role, based in the San Francisco Bay Area, Los Angeles, New York City, or Minneapolis areas. While the role is primarily remote, you may be asked to come into the office as needed for in-person collaboration or team events. At this time, only candidates currently living in one of these locations will be considered. We’re currently unable to consider candidates outside these areas or offer relocation.
What We Do
We build Calm’s product, guide Calm’s analysis, secure Calm’s data, and operate the platforms that underpin it all. We’re product-minded, team-oriented, and grounded in the mission of meeting everyone where they’re at on their mental health journey. We work in fast-moving, small pods and as an Full Stack Engineer you will be expected to gather technical requirements, design and publish technical specs of innovative systems, as well as own building and releasing them into production.
What You’ll Do
As a Senior Full-Stack Web Engineer on Calm’s Growth Engineering team, you will serve as the hands-on tech lead and primary system owner for Calm’s direct-to-consumer web platform. You will work closely with designers, product managers, and customers to ensure that our products are reliable, performant, and secure. Specifically, you will:
- Collaborate with stakeholders to gather requirements, define project scope, and develop technical specifications
- Design, develop, and maintain full-stack systems that are reliable, scalable, and secure for feature completeness.
- Lead development and implementation of complex frontend features and services, collaborating cross-functionally with client engineers to ensure smooth development and deployment process
- Write high-quality, well-documented, and easily maintainable code that adheres to industry standard best-practices
- Ensure high test coverage for all code, including unit and integration tests
- Implement frontend features with instrumentation and monitoring to detect system errors and performance issues
- Stay up-to-date on the latest frontend technologies and trends
- Develop, mentor and train software engineers
- Demonstrates a proactive mindset and strong sense of ownership by anticipating challenges, taking initiative, and driving projects to completion with minimal oversight.
Who You Are
- Must have technical skills include:
- React
- Next.js (App Router, SSR/ISR/SSG)
- Node.js
- Typescript
- Backend API design
- Experience with the following languages/technologies/frameworks (or equivalents):
- End-to-end analytics pipeline ownership (Amplitude, Segment, Google Tag Manager)
- A/B Testing
- Kubernetes
- Terraform
- AWS / GCP / GKE
- Proven experience working effectively in a fast-paced, agile environment as part of a collaborative team
- Willingness and enthusiasm to learn new technologies and tackle challenging problems
- Experience providing accurate high-level estimates based on complexity and consistently delivering on time and with quality
- Consistently deliver on commitments through disciplined estimates and task breakdowns
- Proficiency in writing unit and integration tests in a CI/CD environment
- Excellent communication skills, with the ability to convey technical solutions to both technical and non-technical stakeholders
- Provide high-quality code reviews centered on code quality and mentoring
- Ability to partner with leads across products to leverage institutional knowledge to solve complex problems
- Ability to work independently and as part of a team
- Ability to meet deadlines and work under pressure
Nice to Haves
- Past experience building apps in highly controlled industries, i.e., healthcare
- Experience or deep interest in LLM-powered product development (Amazon Bedrock, OpenAI, Claude, retrieval-augmented generation, multimodal flows, or voice/audio tooling)
Minimum Requirements
- This role typically requires 5 years of related experience
Calm uses a geographic pay model that determines salaries based on the location where an employee lives. For this position, the base pay ranges across Calm’s pay tiers is as follows: $163,400 - $242,000. The base pay range represents the low and high ends of Calm’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which include the successful candidate's geographic location, skills, experience, and other qualifications. Calm uses employee zip code to determine which pay range applies. This role is also eligible for equity + comprehensive benefits + 401k + flexible time off.
Calm may incorporate artificial intelligence technology to support the application review process, but rest assured that human reviewers are involved in all stages of the hiring process.
Calm is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you require a reasonable accommodation to complete any part of the application or interview process, please contact Calm’s Recruiting team at [email protected]. All accommodation requests will be handled confidentially and assessed on a case-by-case basis.
We believe that mental health is health, and every person should be considered in the discussion. That’s why we’re proud to be an equal opportunity workplace, committed to providing equal employment opportunities to all applicants and employees regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Calm is deeply committed to diversity, equity and inclusion. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination.
Employment offers are contingent upon the successful completion of a background check. Roles which require access to certain types of information may also require the successful completion of a drug screening.
FOR US BASED POSITIONS: Calm participates in e-verify. E-verify provides the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
- Right to Work
- E-Verify Participation
Calm Palo Alto, California, USA Office
555 Bryant Street, Palo Alto, CA, United States, 94301
Calm San Francisco, California, USA Office
San Francisco, CA, United States
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
