Rekruton Technologies

Senior Product Manager
Full-Time&nbsp; |&nbsp; Product &amp; Technology&nbsp; |&nbsp; Remote (India Only) / Hybrid
AI/ML Knowledge Plus&nbsp; &nbsp; &nbsp;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 &amp; Vision
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Define and own the product vision, strategy, and roadmap for our Gen AI IVR testing platform, aligned with business goals.
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&nbsp;Act as the voice of the customer while balancing long-term product scalability.
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Monitor product performance using KPIs, analytics, and customer feedback to make data-driven decisions.
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Discovery &amp; Requirements
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Gather, analyze, and prioritize requirements from clients, prospects, and internal stakeholders.
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Translate customer needs and market insights around AI/ML and conversational voice systems into clear product requirements and user stories.
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Lead product discovery, validation, and feature definition using data and customer feedback.
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Prioritize the product backlog to balance customer value, business impact, and technical feasibility.
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Cross-functional Collaboration
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Collaborate closely with engineering, design, QA, sales, and marketing teams throughout the product lifecycle.
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Partner with AI/ML engineers to define model evaluation criteria, testing frameworks, and performance benchmarks.
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Conduct internal product demos and walkthroughs for stakeholders prior to customer release.
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Manage stakeholder expectations across regions and time zones.
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Drive successful product launches and coordinate go-to-market activities.
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Documentation, Compliance &amp; Launch Readiness
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Own and maintain comprehensive product documentation, ensuring it is accurate, up to date, and accessible.
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Ensure product compliance with regional regulations, security standards, and client requirements.
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Ensure product readiness by aligning documentation, training, and release materials before launch.
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Make data-driven decisions to improve product adoption, usability, and customer satisfaction.
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What You BringRequired Qualifications
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10+ years of product management experience, with at least 3 years in a senior or lead PM role.
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Proven track record of defining and shipping successful B2B or B2C products at scale.
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Strong ability to write clear, concise product requirements, user stories, and acceptance criteria.
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Hands-on experience with Agile/Scrum methodologies and backlog management tools (e.g., Jira, Productboard, Linear, Redmine).
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Excellent analytical skills — comfortable working with data, dashboards, and product analytics tools (e.g., Mixpanel, Amplitude, Looker).
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Demonstrated experience managing cross-functional teams and executive stakeholders.
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Excellent written and verbal communication skills; ability to present to diverse audiences.
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Experience owning go-to-market coordination and product launch activities.
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<li>Knowledge of telephony systems, IVR platforms, and voice infrastructure (e.g., SIP, VoIP, Twilio, Genesys, Avaya, Amazon Connect) is required.</li>
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Preferred Qualifications
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<li>Hands-on experience managing AI/ML products — you understand model lifecycles, evaluation pipelines, and the nuances of shipping AI-powered features to production.</li>
<li>Familiarity with Generative AI concepts including LLMs, prompt engineering, RAG, and AI evaluation/testing methodologies.</li>
<li>Experience with QA, testing, or DevOps tooling for AI systems.</li>
<li>Background in SaaS, conversational AI, contact centre, or enterprise voice platforms.</li>
<li>Experience with compliance-sensitive products (e.g., GDPR, HIPAA, SOC 2, regional data regulations).</li>
<li>Experience working in globally distributed teams across multiple time zones.</li>
<li>Familiarity with product-led growth (PLG) strategies.</li>
<li>MBA or equivalent advanced degree is a plus, but not required.</li>
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