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Tier-1 brand, popular product PM role, and Bangalore metro drive high applicant competition.
Requires AI-first product and platform experience, limiting cross-industry transferability.
Requires 10+ years and deep AI/platform product expertise, making filters rigorous.
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Own the multi-year vision and end-to-end roadmap for an AI-driven Conversational Intelligence platform that delivers real-time, multimodal insights across voice, video, and screen sharing.
Make critical architectural and product trade-off decisions between multimodal first-party AI platforms versus third-party or transcript-based tools, ensuring a reusable intelligence engine for multiple products and teams.
Lead cross-functional teams including engineering, applied AI scientists, design, analytics, and business partners through influence to build, deploy, and continuously improve AI that enhances expert and customer interactions at scale.
10+ years of product management experience, including building/scaling complex platforms or AI/ML-powered, real-time data-intensive systems.
Strong hands-on knowledge of modern AI technologies including large language models, multimodal models (speech/audio, vision), real-time inference, and trade-offs of cost, latency, and quality.
Demonstrated experience owning end-to-end product lifecycle for technical, AI-centric products as a senior individual contributor (not solely through managerial hierarchy).
Work Experience Required: Explicitly mentioned as 10+ years product management experience. Notice Period: Not explicitly mentioned in the JD.
AI-first product leader comfortable operating at the intersection of large language models, real-time systems, and human expertise, with deep technical fluency to engage senior engineers and data scientists.
Experienced in platform strategy focusing on reusable intelligence engines rather than isolated features, balancing speed, depth, and trust in AI-enabled conversational products.
Skilled in aligning senior stakeholders and cross-functional teams, navigating ambiguity to deliver measurable business/ customer outcomes in high-stakes, privacy-sensitive AI systems.