Software Applications & Data Program Manager

• Track resourcing across SW teams and applications on the Mill Commercial platform, and flag gaps or conflicts before they become blockers
• Serve as Scrum Master and Jira lead for the SW Applications & Data team
• Own key third-party data integrations, customers, partners, and vendors, including sample data requests, schema, and API connections
• Build and maintain the integrated SW deployment schedule across Fleet Management, UI Design, and Data Integrations
• Run regular executive updates on resourcing, scheduling, and budget
• Turn shifting requirements into a shared set of priorities that eng, product, and partners can plan against
• Surface risks, blockers, and scope creep the moment you see them, with enough context for execs to make a fast call
• Map dependencies across teams (SW, firmware, data, CV) to catch where one team's slip becomes another's blocker

• 8+ years of SW program management, with strong preference for SW products with a physical hardware component
• Gen 1 software product experience: you've organized the development of complex, first-generation software products
• Software and firmware knowledge: you've worked with both on-device software and cloud-based applications for monitoring and controlling devices
• Data integration expertise: from native APIs to flat-file ingestion; experience with AI-powered workflows is a plus
• Strong cross-functional executor: you keep eng, product, ops, and sales coordinated, and you run meetings that produce clear decisions and owners
• Technical depth: comfortable in a room full of engineers, you can engage substantively on tradeoffs and know when to escalate
• Shipped multiple software products: you've taken more than one through late-stage development, pilot, and into commercial deployment
• Clear, direct communicator: you write status updates and requirements that get read, not skimmed, and you can distill a messy technical problem into a one-line ask for an exec or a one-page brief for a partner
• Fluent with AI tools: you use AI-powered tools day to day for things like summarizing meetings, drafting requirements or specs, or synthesizing data, and you can help the team find similar leverage in their own workflows
• Advanced with program management tools like Jira, Notion, etc., with experience running Scrum rituals up to and including Scrum of Scrums
• Experience coordinating dependencies across many engineering disciplines, from full stack to computer vision to data integration

The estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant.

A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.