Product Manager

What You Will Own

• Define the product strategy, roadmap, and measurable outcomes for Call Intelligence.

• Understand how healthcare practices handle inbound calls, appointment conversion, staff coaching, and revenue follow-up.

• Lead discovery with customers, onboarders, sales, support, and internal teams; convert evidence into clear product decisions.

• Partner with engineering, data, ML, and design to ship reliable analytics and AI-assisted workflows.

• Improve activation, adoption, retention, and customer-perceived value through instrumentation, experiments, and workflow improvements.

• Make technical and product trade-offs across data quality, model quality, integrations, usability, and speed.

• Create alignment across distributed teams through clear written communication, decision records, and outcome-driven planning.

What You Will Need to Accomplish the Job

• 3–5+ years of product management experience, preferably in B2B SaaS, analytics, AI/ML, workflow automation, or communications software.

• Demonstrated ownership of customer-facing products from discovery through launch and iteration.

• Strong data fluency, including the ability to use SQL, product analytics, dashboards, and quantitative analysis to make decisions.

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

• Technical fluency in APIs, integrations, data flows, event instrumentation, and the practical limits of AI/ML systems.

• Proven ability to work closely with engineering and data teams in distributed or cross-time-zone environments.

• Strong written and verbal communication skills in English, with the ability to explain complex ideas clearly to technical and non-technical audiences.

• Ability to create structure from ambiguity, prioritize effectively, and drive execution without relying on formal authority.

What Will Make Us Love You

• Experience building healthcare, healthtech, dental, practice-management, contact-centrecontact-center, voice, or communications products.

• Experience with AI/ML, speech analytics, LLMs, conversational systems, or model-quality evaluation.

• Understanding of frontline workflows where trust, accuracy, speed, and reliability directly affect revenue or customer experience.

• Experience with SMB SaaS go-to-market, pricing, packaging, adoption, or retention.

• Experience working with teams split between India and the United States.

• A customer-obsessed, low-ego approach; you listen carefully, go deep into details, and stay focused on outcomes.

• A strong product sense and the judgment to make simple decisions in complex systems.