Senior Product Manager, Vertical Solutions & AI

Hubble Network•Seattle, WA

5h•$126,000 - $235,000•Hybrid

About The Position

Hubble Network is building a global Bluetooth® network for machine-to-machine connectivity, differentiating itself as the first modem-less and gateway-less, direct-to-satellite network from off-the-shelf Bluetooth® Low Energy chips. This role is hybrid and based in San Francisco, CA or Seattle, WA. The Senior Product Manager will own two key areas: data and AI-driven capabilities, and vertical solutions. On the data and AI side, the role focuses on transforming device, location, and network signals into actionable customer insights like predictive alerts and operational analytics. On the vertical side, the role is responsible for the customer experience for specific use cases such as cold chain monitoring, pallet and returnable-asset polling, and tool and equipment monitoring, ensuring the necessary capabilities, workflows, and UX are built on a shared core platform. The position requires collaboration across product, design, engineering, legal, security, GTM, and customers, with a significant part involving partnership with GTM to determine which verticals Hubble will serve and when. The ideal candidate will possess a blend of data and AI product expertise, strong UX and workflow judgment, commercial acumen, and a practical understanding of data quality, privacy, security, and ML workflows.

Requirements

8+ years of product management experience in data and AI products, analytics, IoT, or B2B SaaS platforms
Experience shipping data or AI/ML-powered capabilities that customers rely on in their daily operations
Strong understanding of data quality, metadata, lineage, privacy, and access controls
Experience working with legal and security teams on data privacy and governance
Ability to engage credibly with data scientists, ML engineers, platform engineers, and business-development teams
Strong commercial judgment around packaging and pricing
Experience defining APIs, integrations, or enterprise data workflows
Comfort operating in an ambiguous, early-stage market and validating demand directly with buyers
Experience building vertical or industry-specific products on top of a horizontal platform, ideally in IoT, logistics, supply chain, or asset tracking
Strong UX judgment, with a track record of shipping workflow-heavy B2B dashboards, alerting, and reporting for operations users
Experience partnering with sales and GTM leaders on segment prioritization, market sizing, and launch planning
All applicants must be U.S. citizens or lawful permanent residents (“green card holders”) as defined by ITAR (22 CFR §120.15)

Nice To Haves

A Sense of Urgency: Lead projects from concept to reality, rapidly and effectively
First Principles Engineering: Have a strong understanding of the whys behind the" what's"; have the ability to extrapolate from first principles to complex system design
High Learning Agility: Love to learn; have a grounded approach to recognizing your weaknesses and take the initiative to brush up on and sharpen your engineering foundations to better collaborate with your teammates with different backgrounds
System-Level Design and Analysis: Understand the requirements flow down process and be able to quickly iterate on evolving requirements
Excellent Communication Skills: Effectively convey ideas and communicate technical topics with engineering, build staff, and operations; run self-directed design reviews and participate in reviews of parallel systems
Anticipation of Needs: Identify problems, think creatively, and rapidly produce reliable and cost-effective solutions to meet the ever growing and changing needs of an early-stage company

Responsibilities

Own the strategy and roadmap for Hubble's data and AI-driven product capabilities
Identify where data and AI can create differentiated value for customers, such as predictive alerts, anomaly detection, and operational insights
Define requirements for data collection, normalization, metadata, quality, lineage, and documentation
Establish product requirements for privacy, security, access controls, and data governance that protect customer trust
Partner with Legal and Security on privacy and compliance
Define how insights reach customers through dashboards, alerts, APIs, and integrations
Develop packaging and pricing for data and AI-driven features
Validate demand directly with customers and prospects
Create metrics for data quality, feature adoption, retention, and revenue impact
Partner with GTM to decide which verticals to pursue and in what order, based on pipeline, deal size, win/loss data, competitive position, technical fit, and reuse across verticals
Define the capability set for each priority vertical, for example temperature excursion alerts and chain-of-custody reporting for cold chain; dwell time, cycle counts, and loss detection for pallet polling; utilization, geofencing, and theft alerts for tool monitoring
Own the UX of verticalization, including vertical dashboards, alerting, onboarding, terminology, and reporting, and decide which elements are configured per vertical and which stay shared in the core platform
Decide when a vertical need calls for a new capability, a configuration of existing ones, or a partner integration, so the platform does not split into one-off builds
Turn field feedback, win/loss analysis, and customer requests into vertical requirements, packaging, and sales enablement
Connect vertical solutions to the data and AI roadmap, such as predictive features and anomaly detection for each vertical