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.