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Oriserve - Principal Product Manager - AI / ML Domain

Oriserve - Principal Product Manager - AI / ML Domain

OriserveNoida
2 days ago
Job description

About Ori :

We power millions of AI-led conversations every day for enterprises like Airtel, Vodafone Idea, TVS, IndiGo, IKEA, Asus, Tata AIG and more. Since 2017, weve been building cognitive voice solutions that improve conversions and conversations across sales, renewals, collections, and customer engagement. Our ethos is simple : make AI agents that feel human, deliver outcomes, and scale reliably.

Our mission (practical and product-driven) :

  • Drive topline revenue for clients, not just reduce costs - renewals, collections, upgrades, and sales.
  • Productize features for faster execution via self's erve dashboards so customers can set up, iterate, and scale without waiting on us.
  • Build defensible moats - data feedback loops, platform primitives, and integrations that compound advantage over time.

Job Profile :

Were hiring a Senior Product Manager to own zero?to?one and one?to's cale bets across our voice platform (LLMs + STT / TTS + telephony), turning fuzzy problems into shipped, reliable capabilities that move business KPIs at enterprise scale. Youll partner closely with Engineering, Design, and GTM to deliver self-serve workflows customers love, while keeping quality, speed, and cost in balance.

You Will Be Responsible For :

Product Strategy & Prioritization :

  • Define a clear product vision and roadmap; translate goals into outcomes and guide initiatives from discovery to launch and iteration.
  • Sequence now / next / later using explicit impact / effort / risk trade?offs; maintain crisp decision rationale and cross?team alignment.
  • Platform & Self?Serve Workflows :

  • Shape intuitive self's erve experiences (dashboards, configuration, testing) that enable customers to set up, experiment, and scale independently.
  • Establish opinionated defaults and templates that balance speed, safety, and flexibility.
  • Quality, Growth & Measurement :

  • Uplevel agent performance across reliability, responsiveness, accuracy, and conversion.
  • Design experiments, metrics, and feedback loops that turn learning into measurable improvement.
  • Analytics & Insight to Action :

  • Transform conversation data into actionable insights and close the loop with product changes (e.g., knowledge updates, prompt improvements, playbook refinements).
  • Integrations & Ecosystem :

  • Evolve the platforms integration surface and partner ecosystem to unlock customer workflows and compound value over time.
  • Competitive Strategy & Moat Building :

  • Maintain a clear market perspective; articulate differentiation and build durable advantages through data, platform capabilities, and speed of execution.
  • Enterprise Readiness & Operational Excellence :

  • Champion security, privacy, and compliance; drive reliability standards and operational rigor across the stack.
  • Customer Experience Design :

  • Partner with Design to craft human?centered experiences across setup, testing, and live operations, making complex tasks feel simple.
  • Cross-Functional Leadership :

  • Collaborate closely with Engineering, Design, Sales, and Customer Success; communicate clearly, align stakeholders, and unblock execution.
  • Youll be great if you have :

  • 8-10 years in product (senior / lead) with AI / ML, voice, contact center, or real?time products in B2B / enterprise.
  • Shipped LLM?powered workflows or agents (prompt / RAG, evaluation, safety, A / B testing) and can articulate model trade?offs.
  • Comfortable with telephony concepts, experimentation, and cost?reliability trade?offs.
  • Evidence of revenue?centric thinking - real stories where you moved renewal / collection / win?rate (not just usage).
  • Strong systems sense : queues, back?pressure, warm pools vs cold start, cost envelopes, reliability engineering.
  • Flawless execution : PRDs with clear trade?offs, specs engineers love, and experiments that isolate causality.
  • Enterprise stakeholder skills : discovery, solutioning, objection handling, and crisp exec storytelling.
  • Bonus :

  • MBA or comparable business training.
  • Designed / owned pricing & packaging for enterprise AI / voice products.
  • Led competitive win / loss programs or platform ecosystem partnerships.
  • How we work

  • High?energy, value?focused culture : small teams, high ownership, rapid iterations, bias for shipping.
  • Proficient, growth?minded peers who challenge and elevate your craft; leadership that empowers action and learning.
  • A platform where you can influence product direction, ship at pace, and see measurable customer impact.
  • Customer time : we spend real time with enterprise users & ops teams - field insight beats conjecture.
  • This role offers the opportunity to lead the strategy and development of cutting-edge AI-driven products, driving innovation and directly shaping client success.

    (ref : hirist.tech)

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