Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. This P3 Product Manager will be the India-based product lead for Chennai-led Toast IQ Inventory platform capabilities, partnering with US-based product leadership to translate product strategy into clear priorities, requirements, and delivery decisions.

This role will focus on inventory platform capabilities such as native mobile experiences for key inventory workflows, migration of existing users to the new platform, accounting integrations, supplier and item data models, EDI ingestion and mappings, and other integrations that keep stock, COGS, revenue, and accounting records accurate across channels. A key part of the work will be helping close the cost loop by ensuring invoice-level expenses, revenue, and inventory activity can sync reliably to customers' accounting platforms. While the role reports into the Retail line of business, its scope and impact are cross-product: you will help deliver inventory functionality used by Retail and Restaurant customers alike, and support the continued scaling of those capabilities as we expand our market. Chennai teams will participate in mission-critical workstreams that support Retail footprint growth, including mobile inventory workflows, platform migration, accounting connectivity, and other high-value integration efforts.

You will be the on-site product partner for Chennai engineering teams working on critical inventory workflows. You will help define how inventory data, supplier data, invoice-level expenses, revenue, and operational activity flow through our product ecosystem and into customers' accounting systems. That means improving stock accuracy, simplifying supplier and accounting integrations, supporting accurate cost and revenue accounting, helping customers adopt the new inventory platform, and enabling higher-level inventory experiences for both retail and restaurant customers.

Because this work spans regions and time zones, this role requires strong autonomous product judgment. You will keep local teams unblocked, make well-informed product and execution tradeoffs within the broader strategy, and partner closely with US-based product and business stakeholders when roadmap direction, customer impact, or strategic choices require broader alignment.

A day in the life (Responsibilities)

Develop and Execute Product Roadmap: Define and prioritize product initiatives based on customer needs, market trends, and business objectives. This includes critical work streams focused on supporting TAM expansion and building core inventory functionality. Own and drive the execution of the product roadmap, ensuring alignment with the overall Retail strategy.
Collaborate with Cross-Functional Teams: Partner closely with Design and Engineering to bring new products and features to market. Effectively communicate product vision, requirements, and priorities to ensure successful execution.
Conduct Customer Research and Analysis: Deeply understand the needs of retail customers (and the shared inventory needs of all Toast locations) through user research, market analysis, and competitive analysis. Translate insights into actionable product requirements and use cases.
Champion Innovation and Customer Value: Drive a culture of innovation and customer-centricity within the product team. Identify opportunities to enhance the customer experience and deliver exceptional value, especially as it relates to expanding our market reach and solving complex inventory challenges.
Apply AI to Product Management: Use AI tools to synthesize customer research, analyze feedback and product data, explore solutions, prototype concepts, draft requirements, and accelerate delivery. Validate outputs carefully and model responsible, secure use of AI across the product team.
Develop AI-First Experiences: Identify and lead workflows where AI can materially reduce customer effort. Examples include invoice digitization using OCR and LLMs to extract invoice headers and line items, normalize supplier and item data, recommend catalog and accounting mappings, and route low-confidence results for human review.