Product Manager, Analytics (Call Intelligence)

Accountabilities:

As Product Manager, Analytics (Call Intelligence), you will own the end-to-end product lifecycle, from identifying customer needs and defining strategic priorities to launching solutions and continuously improving their performance. You will collaborate with cross-functional teams to transform call data, transcripts, and AI-generated insights into reliable, user-friendly products that improve operational efficiency and customer outcomes.

Product Strategy and Roadmap: Define and execute the product vision, strategy, roadmap, and measurable outcomes for the Call Intelligence domain.

Customer and Market Discovery: Develop a deep understanding of how healthcare practices manage inbound calls, convert conversations into appointments, coach staff, and follow up on revenue opportunities.

Product Research: Lead discovery initiatives with customers, onboarding specialists, sales, support, and internal stakeholders to identify pain points, validate opportunities, and translate insights into clear product decisions.

Product Development and Execution: Partner with engineering, data, machine learning, and design teams to deliver reliable analytics capabilities and AI-assisted workflows.

Product Adoption and Growth: Improve activation, adoption, retention, and perceived customer value through product instrumentation, experimentation, and continuous workflow optimization.

Data-Driven Decision-Making: Define and monitor product performance indicators, analyze customer behavior, and use quantitative insights to guide prioritization and product improvements.

Technical and Product Trade-offs: Balance data quality, AI model performance, system integrations, usability, and development speed when making product decisions.

Cross-Functional Alignment: Maintain strong collaboration across distributed teams in India and the United States through clear documentation, written communication, decision records, and outcome-oriented planning.

Continuous Improvement: Evaluate product performance and customer feedback to identify opportunities for innovation, improve existing capabilities, and deliver increasingly valuable solutions.

Requirements:

The ideal candidate is an experienced Product Manager with a strong background in customer-facing technology products, analytics, or AI-driven solutions. You should be comfortable working with complex datasets, collaborating with technical teams, and translating business challenges into practical product strategies. Strong communication, analytical thinking, and the ability to operate independently in an evolving environment are essential.

5–8 years of Product Management experience, preferably in B2B SaaS, analytics, AI/ML, workflow automation, or communications software.

Demonstrated experience owning customer-facing products throughout the entire lifecycle, from discovery and development to launch and continuous iteration.

Strong data literacy, including practical experience with SQL, product analytics, dashboards, and quantitative analysis.

Experience defining product metrics, evaluating experiments, and connecting product usage and behavior to measurable business outcomes.

Technical understanding of APIs, integrations, data flows, event instrumentation, and the practical capabilities and limitations of AI/ML systems.

Proven ability to collaborate effectively with engineering and data teams in distributed or cross-time-zone environments.

Excellent written and verbal English communication skills, with the ability to explain complex concepts clearly to both technical and non-technical stakeholders.

Strong prioritization and problem-solving skills, with the ability to create structure from ambiguity and drive execution without relying on formal authority.

Preferred Qualifications:

Experience developing products in healthcare, healthtech, dental technology, practice management, contact center, voice, or communications environments.

Familiarity with AI/ML technologies, speech analytics, large language models (LLMs), conversational systems, or AI model quality evaluation.

Understanding of frontline operational workflows where accuracy, reliability, speed, and trust directly influence revenue and customer experience.

Experience with SMB SaaS go-to-market strategies, pricing, packaging, customer adoption, and retention.

Previous experience collaborating with teams distributed across India and the United States.

Customer-focused, collaborative mindset, with a willingness to investigate details, listen carefully, and prioritize measurable outcomes.

Strong product judgment and the ability to simplify complex problems into effective solutions.

Benefits:

Fully remote working arrangement for candidates based in India.

Opportunity to work with an international, distributed team across India and the United States.

High-visibility product leadership role with ownership of strategy, discovery, prioritization, and execution.

Opportunity to build innovative AI-powered analytics solutions within the healthcare technology sector.

Collaboration with multidisciplinary teams across product, engineering, data, machine learning, and design.

Exposure to complex technical challenges and opportunities to influence meaningful product and business outcomes.