Key Responsibilities :

1. Product & Technology Architecture :

- Own the end-to-end architecture and technology roadmap.
- Define scalable, secure and modular architecture for video interviewing, AI interviewing, candidate assessment and recruiter workflows.
- Design AI/ML architecture covering LLMs, speech-to-text, NLP, conversational AI, RAG, multimodal AI and AI-based evaluation.
- Define architecture for real-time and asynchronous video/audio processing.
- Drive API-first, microservices and cloud-native architecture.
- Ensure scalability, availability, observability and performance for enterprise workloads.

2.

Product Management :

- Translate customer/business requirements into product capabilities, architecture and roadmap.
- Own/drive product backlog, feature prioritization and release planning in partnership with Product/Business teams.
- Conduct competitive benchmarking against platforms such as HireVue, Spark Hire and other AI interviewing platforms.
- Identify product gaps and define capabilities required to make products enterprise and market competitive.
- Balance build vs. buy vs. integrate decisions for AI, video, communication and assessment components.

3. AI & Video Interviewing :

- The candidate should have strong understanding of :
- AI interviewer / conversational AI
- Dynamic and adaptive interview questioning
- Resume-based question generation
- Speech-to-text and multilingual transcription
- LLM-based interview summarization
- Competency-based scoring and evaluation
- Video/audio intelligence and multimodal AI
- Interview scorecards and structured evaluation




- AI-driven candidate ranking and recommendations
- Anti-cheating / interview integrity capabilities
- Human-in-the-loop AI evaluation

4.

Enterprise Platform Capabilities :

- Drive architecture/productization of :
- Multi-tenancy and tenant isolation
- RBAC and enterprise identity integration
- API gateway and partner integrations
- ATS / HRMS integrations
- Interview scheduling and notifications
- Candidate and recruiter portals
- Analytics and dashboards
- Audit trails and data lineage
- Consent, privacy and data retention
- Security and compliance
- Monitoring, SLA and production support architecture

5.

Product Engineering Leadership :

- Work closely with Engineering, AI/ML, UX, QA, DevOps and Product teams.
- Establish architecture standards and technical governance.
- Review technical designs and ensure engineering alignment with product roadmap.
- Mentor architects and senior engineers.
- Drive technical debt reduction and platform modernization.

Required Skills :

Architecture :

- Distributed systems / microservices
- Cloud-native architecture AWS/Azure/GCP
- REST APIs, event-driven architecture and API gateways
- Databases, caching, messaging and data platforms
- Kubernetes / containers
- CI/CD,



observability and SRE principles

AI :

- LLMs and GenAI
- RAG and vector databases
- Conversational AI / AI Agents
- NLP and speech technologies
- Multimodal AI
- AI evaluation and model governance

Video / Communication :

- WebRTC or equivalent real-time video technologies
- Video/audio streaming and processing
- STT/TTS
- Recording, storage and media pipelines
- Experience with Twilio, Vonage or equivalent communication platforms is desirable.

Product :

- Product lifecycle management
- Product roadmap and prioritization
- Agile/Scrum
- Customer discovery
- Competitive analysis
- Build vs. buy decisions
- Enterprise SaaS product management

Preferred Experience :

- Candidates from AI-powered HRTech, Video Interviewing, Assessment, Recruitment SaaS, Conversational AI or Enterprise SaaS platforms will be preferred.
- Experience working on products comparable to HireVue, Spark Hire, VidCruiter, Modern Hire or other AI/video interviewing platforms would be highly valuable.

Key Success Measures :

- Define the product and technology roadmap.
- Build scalable architecture supporting enterprise customers and high-volume interviews.
- Establish strong AI evaluation, security, privacy and governance capabilities.
- Identify competitive gaps and convert them into prioritized product capabilities.
- Reduce dependency on fragmented third-party components through a transparent build/buy/integrate strategy.
- Work across Product Engineering AI/ML Business and drive execution.

📌 Technical Product Architect (India)
🏢 e-Solutions
📍 India