What are the responsibilities and job description for the Technical Lead position at Wellness Coach?
About Wellness Coach
Wellness Coach is a leading AI-driven SaaS platform that helps enterprises enhance workforce well-being, engagement, and productivity. We partner with global enterprises, Fortune 500 companies, and high-growth startups to provide AI-powered coaching, rewards, analytics, and next-gen EAP solutions. Our platform seamlessly integrates with Microsoft Teams, Slack, Zoom, and leading HR platforms, enabling data-driven decision-making, compliance adherence, and personalized wellness programs. Backed by Softbank NY, Zoom Ventures, and Accomplice, we are rapidly scaling our product, leveraging AI, automation, and real-time analytics to transform enterprise well-being.
The Opportunity
We are looking for a
Tech Lead
to drive the next phase of innovation and scalability at Wellness Coach. This role requires a hands-on engineering leader with experience in scaling SaaS products, building AI-powered solutions, optimizing DevOps, and driving automation. You will lead a high-impact team of 6 senior full-stack engineers, working directly with Product, Data Science, and DevOps teams to build and optimize AI-driven analytics, automation, and engagement platforms.
What You Will Own
Lead & mentor a team of senior engineers in a high-growth SaaS startup environment
Architect & scale our multi-tenant AI-driven SaaS platform for enterprise clients
Ensure security, compliance (SOC2, ISO 27001), and high-performance infrastructure
Optimize AI-powered automation, analytics, and data pipelines
Build highly scalable, modular applications using modern full-stack technologies
Define engineering best practices, DevOps strategy, and AI adoption roadmaps
Key Responsibilities
Technology & Product Innovation
Lead the architecture, development, and scaling of our SaaS wellness platform
Build and optimize a microservices-based, modular full-stack system using React.js, Next.js (frontend) and Node.js, TypeScript (backend)
Develop AI-powered analytics engines to provide real-time insights and predictive analytics for enterprise customers
Enhance personalization and engagement using AI-driven coaching, chatbots, and dynamic content delivery
Engineering Leadership & Team Management
Lead, mentor, and scale a 6 senior engineer team, ensuring high technical standards
Drive cross-functional collaboration between engineering, product, AI / ML, and DevOps teams
Conduct code reviews, enforce best practices, and foster a high-performance engineering culture
Align engineering efforts with business objectives and growth strategies
AI, Automation & Predictive Insights
Leverage AI-powered tools like Cursor, OpenAI, Copilot to enhance developer productivity and automation
Build AI-driven engagement models to optimize user retention, enterprise ROI, and predictive wellness analytics
Optimize event-driven architectures (Kafka, AWS Kinesis) for real-time user behavior tracking
SaaS Scalability, Security & Compliance
Scale our multi-tenant SaaS infrastructure using AWS (Lambda, API Gateway, ECS, DynamoDB, Cognito, S3)
Implement enterprise-grade security measures aligned with SOC2, ISO 27001, and GDPR compliance
Ensure RBAC (Role-Based Access Control), OAuth authentication, and API security meet enterprise-grade standards
DevOps, CI / CD & Test Automation
Own and optimize CI / CD pipelines for zero-downtime deployments and automated infrastructure scaling
Implement end-to-end test automation using Cypress, Jest, Selenium, Playwright
Ensure security-first development practices through Terraform, AWS CDK, and DevSecOps methodologies
Must-Have Skills & Experience
8 years of full-stack experience in a high-growth SaaS company
Strong technical leadership 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) & query optimization
Deep DevOps experience with CI / CD, Terraform, AWS CDK, Kubernetes, Docker
Security & compliance experience (SOC2, ISO 27001, IAM, RBAC, OAuth)
Experience with AI tools like Cursor, OpenAI, Copilot for automation
Strong debugging, logging & monitoring skills (ELK, Datadog, OpenTelemetry)
Hands-on expertise in analytics engines & real-time event processing
Why Join Us?
Shape the future of AI-powered corporate wellness in a high-growth SaaS startup
Own and scale a global SaaS product used by Fortune 500 enterprises
Drive AI, analytics, automation, and DevOps innovation at scale
Competitive salary, stock options, and fast-track leadership growth opportunities
Remote-first culture, flexible work environment, and strong ownership mindset
