Engineering Leader

Ovii's Interpretation of the Role

Lead the engineering organization responsible for scaling Ema's Voice, BPO, and Workforce Management product lines. You will manage multi-disciplinary teams to architect real-time voice systems and high-throughput data platforms within an agentic AI environment. This role combines hands-on technical guidance in system design with the strategic growth of a high-performance engineering culture.

Role Snapshot

• Engineering Leadership
• Real-time Voice Systems
• Multi-tenant SaaS Architecture
• Workforce Management (WFM)
• High-Growth AI Startup
• Operations Research Integration

Must-Have Requirements

• Software Engineering leadership
• Real-time systems architecture
• Data-intensive system design
• Multi-tenant SaaS platform development
• SOLID principles
• Stream processing
• Engineering recruitment and development
• Scaling engineering teams in high-growth environments
• Architecting high-throughput data pipelines
• Building production-grade multi-tenant platforms
• Full product lifecycle from 0 to 1
• 12+ years of total software engineering experience
• 4+ years of engineering leadership experience
• Must be based in or willing to work onsite in Bengaluru, India

Nice-to-Have Signals

• Voice/telephony systems (WebRTC, SIP)
• Operations research
• Optimization algorithms
• OLAP/Analytics platforms
• AI/ML-powered product development
• WFM or contact center domain knowledge
• Erlang-based capacity planning
• BI infrastructure
• Metric computation engines
• Telephony and voice infrastructure
• Contact center operations software
• Enterprise AI/ML implementation
• BPO
• Contact Center
• Workforce Management
• Telecommunications

Work Setup

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

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Relocation support
• Specific salary range
• Notice period
• Education requirement

What You'll Likely Work On

• Architect and scale multi-tenant systems with strict data isolation and global compliance requirements.
• Design high-throughput ingestion systems for voice call metadata and operational telemetry.
• Own end-to-end engineering for AgentQA capabilities, including real-time voice pipelines and automated call scoring.
• Recruit and develop a multi-disciplinary engineering organization including backend, voice, and data engineers.
• Implement optimization algorithms for workforce management, including demand forecasting and shift scheduling.
• Drive cross-functional alignment with Product and ML teams to iterate on agentic automation features.
• Establish engineering standards and a strong code review culture focused on reliability and maintainability.
• Partner with leadership to translate enterprise customer needs into technical roadmaps for BPO and contact center domains.

Good Fit If You Have

• Extensive background in building real-time, data-intensive systems for high-growth startups.
• Proven experience managing teams of 8+ engineers and developing other engineering leaders.
• Technical proficiency in choosing appropriate data stores for relational, time-series, or columnar workloads.
• Helpful to have specific exposure to voice/telephony systems like WebRTC, SIP, or VoIP infrastructure.
• Familiarity with operations research, such as demand forecasting models or scheduling algorithms, is advantageous.