Key Responsibilities:

Technology Strategy & Vision:

- Define and execute the companys technology roadmap aligned with product and business goals.

- Evaluate and integrate emerging technologies (AI, GenAI, cloud-native systems) to maintain a competitive edge.

- Balance innovation and long-term scalability with short-term delivery requirements.

Hands-On Technical Leadership:

- Architect, design, and review scalable, secure, high-performance SaaS applications.

- Remain hands-on when necessary coding, prototyping, and troubleshooting critical challenges.

- Drive adherence to best practices in architecture, DevSecOps, and performance engineering.

Full-Stack & Cloud Development Oversight:

- Lead teams in modern stacks: React/Vue.js, Node.js, Python, .NET Core.

- Architect multi-tenant SaaS and cloud-native solutions (AWS/Azure/GCP).

- Oversee DevOps pipelines (CI/CD), Infrastructure-as-Code (Terraform/CloudFormation), and container orchestration (Docker, Kubernetes).

Team Leadership & Mentorship:

- Build, inspire, and scale engineering teams (developers, interns, contractors).

- Mentor next-generation leaders and foster a culture of innovation and accountability.

Operational Excellence:

- Manage the end-to-end software development lifecycle.

- Ensure compliance with ISO, HIPAA, and CRM-industry standards.

- Optimize systems for security, scalability, performance, and cost efficiency.

Stakeholder Collaboration:

- Partner with Product, Business, and Design teams to deliver user-centric solutions.

- Represent technology leadership in client, investor, and industry forums.

- Communicate technical strategy in a clear, boardroom-ready narrative.

Skills & Qualifications:

- Experience: 12+ years in technology leadership roles with proven SaaS scaling impact.

- Technical Mastery: Hands-on coding expertise in JavaScript/TypeScript (Node.js, React/Vue.js), Python, and .NET Core.

- Cloud & Infrastructure: Deep AWS expertise (EC2, S3, RDS, IAM, scaling/monitoring) with multi-cloud exposure.

- Architecture: Strong experience in multi-tenant SaaS, event-driven microservices, distributed systems.

- AI Integration: Demonstrated success in integrating AI/GenAI (LLMs, NLP, predictive analytics) into enterprise products.

- Data Engineering: PostgreSQL mastery; exposure to NoSQL, time-series, graph DBs, data lakes, streaming.

- DevOps: CI/CD pipelines, Kubernetes orchestration, observability (Prometheus, Grafana, ELK).

- Security & Compliance: ISO standards, HIPAA, GDPR, privacy-by-design frameworks.

- Domain Knowledge: Prior exposure to CRM, workflow automation, SaaS platforms.

- Deployment Models: Experience designing common codebases with cloud-native and on-premise deployment flexibility (open-source style).

- Leadership: Track record in building and scaling high-performing engineering teams.

- Business Acumen: Ability to bridge business strategy with technology execution.

Engagement Structure:

- Part-Time Role to begin with, with a path to Full-Time Co-Founder position based on mutual fit.

- Probation Period: Initial 3 months to evaluate contributions and synergy.

- Equity Allocation: Post-probation, equity will be allocated on a subscription basis, ensuring long-term alignment and growth.