Job Description

Key Responsibilities

Technology Vision and Strategy

: Define and execute the technical roadmap for [AI chatbot or product], aligning with company goals; lead innovation in AI/ML, cloud infrastructure, and user-facing features.

Product Development Leadership

: Oversee end-to-end development of [chatbot or platform], including architecture, APIs, and integrations; ensure high performance, scalability, and user experience.

AI and Innovation

: Drive adoption of AI/ML technologies (e.g., NLP for chatbots, generative AI); collaborate with data scientists to enhance features like conversational accuracy or personalization.

Team Management and Mentorship

: Lead and grow engineering teams (e.g., developers, DevOps, AI specialists); foster a culture of innovation, collaboration, and continuous learning.

Infrastructure and Security

: Oversee cloud infrastructure (AWS, Azure, GCP) and ensure robust cybersecurity, data privacy (e.g., GDPR, CCPA), and uptime for mission-critical systems.

Cross-Functional Collaboration

: Partner with Product Managers, CFO, and marketing teams (e.g., for YouTube Shorts campaigns) to align tech development with monetization and user acquisition goals.

Technical Innovation and Trends

: Stay ahead of 2025 tech trends, including AI orchestration, edge computing, and low-code platforms; evaluate and integrate new tools to enhance product capabilities.

Performance Metrics and KPIs

: Track technical KPIs (e.g., system uptime, latency, API response times) and product metrics (e.g., user engagement, retention); use data to drive iterative improvements.

Budget and Vendor Management

: Manage tech budgets, optimize cloud and licensing costs, and negotiate with vendors for tools like AI APIs or development platforms.
Required Qualifications and Skills

Education

: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI/ML, CS, or related areas is a plus.

Experience

: 8-12+ years in technology leadership, with 3+ years as CTO or senior engineering lead in tech, SaaS, or AI companies; proven success scaling products (e.g., 100K+ users or $10M+ ARR).

Technical Skills

: Expertise in software development (Python, JavaScript, etc.), cloud platforms (AWS, Azure), and AI/ML frameworks (TensorFlow, PyTorch); experience with API-driven architectures and DevOps (Docker, Kubernetes).

Soft Skills

: Strategic leadership, excellent communication for C-suite and board interactions, ability to inspire teams, and strong problem-solving in high-pressure environments.

Certifications (Preferred)

: AWS Certified Solutions Architect, Google Cloud Professional, or certifications in AI/ML (e.g., Coursera Deep Learning Specialization).
Preferred Qualifications

Experience building AI-driven products like chatbots or NLP systems. Track record of leading teams through product launches, acquisitions, or IPOs. Familiarity with SaaS metrics (e.g., ARR, churn) and subscription-based platforms. Portfolio showcasing technical innovation (e.g., scaling infrastructure for 50%+ user growth).
Job Types: Full-time, Freelance

Pay: ₹25,748.42 - ₹119,820.86 per month

Work Location: In person