Senior Product Manager (Telephony / VoIP / IVR)

Senior Product Manager Full-Time | Product & Technology | Remote (India Only) / Hybrid AI/ML Knowledge Plus Telephony Experience Required About the Role We are building a cutting-edge platform that tests Generative AI-based Interactive Voice Response (IVR) systems through real, automated phone calls — helping enterprises validate, benchmark, and improve their AI-powered voice experiences before they reach end customers. This is a high-impact space at the intersection of conversational AI, telephony, and quality engineering. We are looking for a seasoned Senior Product Manager to own the end-to-end product lifecycle — from vision and strategy through discovery, delivery, and post-launch optimization. You will work cross-functionally with engineering, design, QA, sales, and marketing, and will play a pivotal role in shaping a product that sits at the forefront of AI-driven communication testing. The ideal candidate has direct, hands-on experience managing AI/ML products and a strong intuition for how large language models and generative AI systems behave in production. Familiarity with telephony infrastructure and IVR systems will set you apart. Key ResponsibilitiesStrategy & Vision - Define and own the product vision, strategy, and roadmap for our Gen AI IVR testing platform, aligned with business goals. - Act as the voice of the customer while balancing long-term product scalability. - Monitor product performance using KPIs, analytics, and customer feedback to make data-driven decisions. Discovery & Requirements - Gather, analyze, and prioritize requirements from clients, prospects, and internal stakeholders. - Translate customer needs and market insights around AI/ML and conversational voice systems into clear product requirements and user stories. - Lead product discovery, validation, and feature definition using data and customer feedback. - Prioritize the product backlog to balance customer value, business impact, and technical feasibility. Cross-functional Collaboration - Collaborate closely with engineering, design, QA, sales, and marketing teams throughout the product lifecycle. - Partner with AI/ML engineers to define model evaluation criteria, testing frameworks, and performance benchmarks. - Conduct internal product demos and walkthroughs for stakeholders prior to customer release. - Manage stakeholder expectations across regions and time zones. - Drive successful product launches and coordinate go-to-market activities. Documentation, Compliance & Launch Readiness - Own and maintain comprehensive product documentation, ensuring it is accurate, up to date, and accessible. - Ensure product compliance with regional regulations, security standards, and client requirements. - Ensure product readiness by aligning documentation, training, and release materials before launch. - Make data-driven decisions to improve product adoption, usability, and customer satisfaction. What You BringRequired Qualifications - 5+ years of product management experience, with at least 1 years in a senior or lead PM role. - Proven track record of defining and shipping successful B2B or B2C products at scale. - Strong ability to write clear, concise product requirements, user stories, and acceptance criteria. - Hands-on experience with Agile/Scrum methodologies and backlog management tools (e.g., Jira, Productboard, Linear, Redmine). - Excellent analytical skills — comfortable working with data, dashboards, and product analytics tools (e.g., Mixpanel, Amplitude, Looker). - Demonstrated experience managing cross-functional teams and executive stakeholders. - Excellent written and verbal communication skills; ability to present to diverse audiences. - Experience owning go-to-market coordination and product launch activities. - Knowledge of telephony systems, IVR platforms, and voice infrastructure (e.g., SIP, VoIP, Twilio, Genesys, Avaya, Amazon Connect) is required. Preferred Qualifications - Hands-on experience managing AI/ML products — you understand model lifecycles, evaluation pipelines, and the nuances of shipping AI-powered features to production. - Familiarity with Generative AI concepts including LLMs, prompt engineering, RAG, and AI evaluation/testing methodologies. - Experience with QA, testing, or DevOps tooling for AI systems. - Background in SaaS, conversational AI, contact centre, or enterprise voice platforms. - Experience with compliance-sensitive products (e.g., GDPR, HIPAA, SOC 2, regional data regulations). - Experience working in globally distributed teams across multiple time zones. - Familiarity with product-led growth (PLG) strategies. - MBA or equivalent advanced degree is a plus, but not required.