Loop AI - Delivery Intelligence Platform Logo

Loop AI - Delivery Intelligence Platform

Product Manager/Sr.Product Manager

Reposted 19 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
The Product Manager will oversee the product lifecycle, work with cross-functional teams, and ensure successful product delivery in a fast-paced environment, focusing on AI-driven solutions for restaurant chains.
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About Loop

Loop is an agentic restaurant intelligence software that augments the back office of restaurant chains by automating workflows and delivering intelligence across finance, operations, and marketing functions. Loop deploys AI agents built by our in-house team of AI engineers, strategists, and subject matter experts into restaurant brands, bringing industry best practices to complex internal workflows. We have offices in San Francisco, New York, Tampa, and India.

Loop is one of the fastest-growing restaurant technology companies, powering a few billion dollars in revenue and growing to serve 10K+ restaurants within 3 years across some of the most recognizable brands in the USA, helping them grow their topline and bottomline.

Loop is built by a world-class team of entrepreneurs, operators, leaders, and AI engineers from diverse industries, including companies like Uber, Google, Amazon, and McKinsey.

 About the Role

As a Product Manager at Loop, you will own the end-to-end lifecycle of one or more product lines, from discovery and strategy to execution and scale. You will act as the voice of the customer while balancing business objectives and technical feasibility.

You will work closely with Engineering, Design, Customer Success, Sales, and Leadership to build AI-driven products that deliver measurable customer value and power mission-critical workflows for restaurant brands.

This role requires strong product intuition, analytical rigor, and the ability to operate in a fast-paced, high-growth environment.

Responsibilities:

  • Own the product roadmap and execute product vision and strategy aligned with company goals

  • Ownership of product north star metrics and customer value metrics

  • Translate business and customer problems into well-defined product requirements and technical specifications

  • Drive product discovery through customer interviews, data analysis, and experimentation

  • Partner with Engineering and Design to deliver high-quality features on time

  • Define, track, and optimize product KPIs including adoption, engagement, retention, and value delivery metrics

  • Prioritize initiatives based on impact, effort, and strategic alignment

  • Lead cross-functional collaboration across Customer Success, Sales, and Operations to ensure successful launches and adoption

  • Continuously improve product experience by analyzing user feedback, funnel performance, and usage data

  • Build and scale AI-driven workflows that effectively combine automation with human-in-the-loop systems

Eligibility / Fit

  • Have 4-7 years of experience building and shipping software/digital products in SaaS, AI, Consumer Internet, Fintech, or other tech-forward industries

  • Have owned product features or product lines end-to-end

  • Think deeply in terms of metrics, user journeys, funnels, and experimentation

  • Have strong analytical skills and can break down ambiguous business problems into structured solutions

  • Have experience working closely with engineering teams and can understand technical trade-offs

  • Have demonstrated leadership while also operating as a strong individual contributor

  • Are comfortable operating in 0 to 1 and 1 to N product environments

  • Demonstrate radical ownership, customer obsession, and bias for action

Preferred Qualifications (Nice to Have)

  • Experience building or managing AI/ML-powered products

  • Experience in B2B SaaS environments

  • Prior founder or early employee experience in a high-growth startup

  • Exposure to high-performance environments such as Big Tech, consulting, or fast-scaling startups

  • Strong academic background from reputed institutions (e.g., IIM, ISB, BITS, SPJIMR, Ivy League, etc.)

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