Technical Lead

San Mateo, California

Wellness Coach
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About Wellness Coach

Wellness Coach is a premier AI-driven SaaS platform dedicated to enhancing workforce well-being, engagement, and productivity. We collaborate with global enterprises, Fortune 500 companies, and dynamic startups to deliver AI-powered coaching, rewards, analytics, and next-gen Employee Assistance Programs (EAP). Our platform integrates seamlessly with top tools like Microsoft Teams, Slack, and Zoom, facilitating data-driven decision-making and personalized wellness initiatives. Supported by leading investors, including Softbank NY and Zoom Ventures, we are on a rapid growth trajectory, harnessing AI, automation, and real-time analytics to revolutionize enterprise well-being.

The Opportunity

We are on the lookout for a Technical Lead to spearhead the next wave of innovation and scalability at Wellness Coach. This position demands a proactive engineering leader with a strong background in SaaS product scaling, AI-driven solutions, DevOps optimization, and automation. You will lead a high-performing team of over six senior full-stack engineers, collaborating directly with Product, Data Science, and DevOps teams to develop and enhance our AI-driven analytics, automation, and engagement platforms.

What You Will Own
  • Guide and mentor a team of senior engineers within a rapidly growing SaaS startup.
  • Architect and expand our multi-tenant AI-driven SaaS platform designed for enterprise clients.
  • Ensure robust security, compliance (SOC2, ISO 27001), and high-performance infrastructure.
  • Optimize AI-powered automation, analytics, and data processing pipelines.
  • Create highly scalable, modular applications using cutting-edge full-stack technologies.
  • Establish engineering best practices, DevOps strategies, and roadmaps for AI adoption.
Key Responsibilities

Technology & Product Innovation
  • Direct the architecture, development, and scalability of our SaaS wellness platform.
  • Build and refine a microservices-based, modular full-stack system using React.js, Next.js (frontend), and Node.js, TypeScript (backend).
  • Develop AI-powered analytics engines to deliver real-time insights and predictive analytics for enterprise clients.
  • Enhance personalization and engagement through AI-driven coaching, chatbots, and dynamic content delivery.
Engineering Leadership & Team Management
  • Lead, guide, and grow a team of 6+ senior engineers, maintaining high technical standards.
  • Promote cross-functional collaboration among engineering, product, AI/ML, and DevOps teams.
  • Conduct code reviews, uphold best practices, and cultivate a high-performance engineering culture.
  • Align engineering projects with business objectives and growth strategies.
AI, Automation & Predictive Insights
  • Utilize AI-powered tools like Cursor, OpenAI, and Copilot to boost developer productivity and automate processes.
  • Construct AI-driven engagement models to enhance user retention, enterprise ROI, and predictive wellness analytics.
  • Refine event-driven architectures (Kafka, AWS Kinesis) for real-time user behavior tracking.
SaaS Scalability, Security & Compliance
  • Scale our multi-tenant SaaS infrastructure utilizing AWS services (Lambda, API Gateway, ECS, DynamoDB, Cognito, S3).
  • Implement enterprise-grade security measures in compliance with SOC2, ISO 27001, and GDPR.
  • Ensure RBAC (Role-Based Access Control), OAuth authentication, and API security meet enterprise standards.
DevOps, CI/CD & Test Automation
  • Manage and optimize CI/CD pipelines for zero-downtime deployments and automated infrastructure scaling.
  • Establish end-to-end test automation using tools such as Cypress, Jest, Selenium, Playwright.
  • Promote security-first development practices with Terraform, AWS CDK, and DevSecOps methodologies.
Must-Have Skills & Experience
  • 8+ years of full-stack experience in a high-growth SaaS environment.
  • Strong technical leadership capabilities with experience managing 6+ senior engineers.
  • Expertise in AWS cloud services (Lambda, API Gateway, ECS, DynamoDB, Cognito, S3, SNS, SQS).
  • Proficiency in NoSQL databases (MongoDB, DynamoDB) and query optimization.
  • Extensive DevOps experience with CI/CD, Terraform, AWS CDK, Kubernetes, Docker.
  • Security and compliance experience with SOC2, ISO 27001, IAM, RBAC, OAuth.
  • Familiarity with AI tools like Cursor, OpenAI, and Copilot for automation.
  • Strong skills in debugging, logging, and monitoring (ELK, Datadog, OpenTelemetry).
  • Hands-on expertise with analytics engines and real-time event processing.
Why Join Us?
  • Shape the future of AI-powered corporate wellness in a growing SaaS startup.
  • Take ownership of scaling a global SaaS product serving Fortune 500 enterprises.
  • Drive innovation in AI, analytics, automation, and DevOps.
  • Enjoy competitive salary, stock options, and clear paths for leadership growth.
  • Experience a remote-first culture, flexible work arrangements, and a strong sense of ownership.
Date Posted: 01 May 2025
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