Technical Lead & Manager

Ovii's Interpretation of the Role

WisdomAI seeks a hands‑on Technical Lead & Manager in Bengaluru to shape a fast‑growing engineering org while staying deeply involved in code. The role blends architecture, mentorship, hiring, and product‑focused delivery for an AI‑powered analytics platform.

Role Snapshot

• Hands‑on technical leadership
• Scale high‑performance engineering org
• Mentor and develop future technical leaders
• Raise hiring bar and partner on talent acquisition
• Guide architecture, design, and code quality
• Shape processes, performance management, and career growth
• Contribute to AI‑driven analytics platform

Must-Have Requirements

• experience building and shipping complex software systems
• experience managing engineers
• building complex software systems
• managing engineers

Nice-to-Have Signals

• experience at scale companies with strong engineering cultures
• startup or founding engineer background
• experience with distributed systems, infrastructure, AI, data platforms, or developer tools
• experience hiring and developing senior engineering talent
• scale company engineering culture
• startup/founding experience
• distributed systems
• AI and data platforms
• senior talent hiring

Work Setup

• Location: Bengaluru, India
• Work mode: ONSITE
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Participate in architecture, design, and code reviews while contributing code (~60% of time).
• Mentor, coach, and create career paths for engineers to become senior staff or future tech leads.
• Partner with senior leadership to source, evaluate, and hire top engineering talent.
• Define and evolve engineering processes, performance management, and organizational design.
• Drive technical excellence so quality scales with headcount and product complexity.
• Build and scale backend, platform, frontend, and machine‑learning systems for the analytics product.
• Align technical decisions with customer outcomes and product priorities.

Good Fit If You Have

• Enjoys both hands‑on engineering and people management.
• High ownership mindset with low ego.
• Strong product instincts and focus on customer outcomes.