Senior Product Manager - Seed

About the role

365 Retail Markets is the global leader in unattended retail technology, delivering smart self-service solutions since 2008. The company’s all-in-one Seed platform powers vending, micro markets, and office coffee/delivery operations for businesses ranging from local operators to enterprise bottler divisions running tens of thousands of machines. As a Senior Product Manager on the Operator Experience (OE) team, you will own two connected pieces of the Seed platform: Seed Pro, the core vending module used by every Seed customer, and the Seed data products suite—Spotlight, Copilot, Analytics, and Intelligence—that turn operator data into insight and action. This role also includes people leadership: you’ll mentor 1–2 product managers while staying hands-on with your own roadmap. You’ll collaborate with PMs leading other OE products (Parlevel, Lightspeed, ADM) to maintain a coherent portfolio for operators who use multiple 365 products.

Responsibilities

• Own Seed Pro
  • Set and drive the roadmap for Seed Pro, the core vending operations module used across the entire customer base—from small regional operators to enterprise-scale accounts.
  • Translate operator pain points (route efficiency, machine uptime, planogram and pricing management, cash and inventory accountability) into a prioritized backlog.
  • Partner with engineering, design, and support to ship features that measurably improve operator outcomes: revenue per machine, waste reduction, and labor efficiency.
  • Act as a liaison to Sales, Marketing, and Professional Services teams to provide product knowledge support.
• Own the Seed data products suite
  • Set and drive the roadmap for Spotlight, Copilot, Analytics, and Intelligence—the products that give operators visibility into their business and AI-powered guidance on actions.
  • Champion the use of data and AI to help operators run better businesses by surfacing insights (e.g., machine performance anomalies, route optimization, demand forecasting, pricing recommendations) rather than just reporting raw data.
  • Identify where AI/ML can turn existing operator data into actionable recommendations for customers of all sizes, not just enterprise accounts with in-house BI teams.
  • Stay current on practical applications of AI in operations/logistics software to ensure the data products roadmap reflects real, usable capabilities.
  • Coordinate closely with the Seed Pro roadmap, as Spotlight, Copilot, Analytics, and Intelligence depend on the underlying operational data Seed Pro captures.
• Lead and mentor
  • Coach 1–2 product managers on discovery, prioritization, and stakeholder management.
  • Help set shared standards across the PM team (roadmap hygiene, dependency tracking, release documentation) to scale the practice as the platform grows.
• Understand the customer
  • Develop deep fluency in how unattended retail operators run their businesses—route economics, commission and tax handling, micromarket shrink, OCS delivery logistics—and the functional roles inside operator organizations (drivers/techs, warehouse, finance/ops leadership).
  • Spend time with operators of varying size and sophistication, from mid-size regional players to enterprise bottler divisions with in-house BI/IT teams.
• Use AI to improve your own productivity
  • Actively use AI tools in day-to-day PM work—from research synthesis and spec writing to roadmap analysis—and model this for the PMs you mentor.
  • Contribute to the broader Operator Experience team’s push to raise productivity through smart use of AI tooling.

Requirements

• 7+ years of product management experience in B2B SaaS, with at least 2+ years owning a core module or platform area end-to-end.
• Experience in vending/unattended retail/OCS, or closely adjacent B2B operations platforms—fleet management, field service management, route logistics/dispatch, or POS/retail operations software. Preference for candidates who’ve worked on software coordinating distributed physical assets, routes, or field operations.
• Track record of balancing deep ownership of one area with a broader platform view—able to spot cross-team dependencies without losing momentum on your own roadmap.
• Experience mentoring or informally leading other PMs, even without a formal management title.
• Comfort working with multi-segment customer bases—able to prioritize for both mid-size regional operators and enterprise accounts with different needs and sophistication.
• Strong written and verbal communication; able to translate technical/platform tradeoffs for both engineering and non-technical stakeholders (sales, support, customer success).
• Comfort defining data- and AI-driven product features—no need to be a data scientist, but you should know how to scope, prioritize, and evaluate AI/ML-powered capabilities.
• Personal fluency with AI productivity tools (e.g., using LLMs for research, drafting, or analysis)—this is an active expectation of the role.