Staff Product Manager, Virtual Vehicle

Platform Science•San Diego, CA

2d•$168,000 - $229•Remote

About The Position

Commercial fleets increasingly operate mixed-brand vehicles, and today’s fragmented tool landscape forces managers to juggle multiple systems. This role sits at the center of the effort to give them one coherent experience, without erasing the partner intelligence that makes each brand valuable. You’ll shape a platform that hundreds of thousands of vehicles depend on daily, and where fleet managers monitor, diagnose, and act on vehicle data across multiple truck manufacturers, all from a single interface. We’re looking for a product leader to make this multi-brand experience possible. The core challenge: build a shared foundation that normalizes data and workflows across OEM partners, while giving each partner the ability to surface their own differentiated intelligence and branding within that shared experience. You’ll balance platform consistency with partner extensibility, at enterprise scale. You’ll report to the Director of Product and partner closely with engineering, design, QA, product marketing, and global business units. You’ll also coordinate with teams responsible for shared platform services (authentication, entitlements, core data models) that our OEM experiences depend on.

Requirements

7+ years of product management experience, with at least 2 years at the Senior or Staff level.
Proven ownership of a key area or an entire SaaS or enterprise web application.
Track record of migrating users from legacy systems to new platforms: you understand the sequencing, tooling, and customer communication required to pull this off cleanly.
Strong UX instincts for enterprise software: you believe admin tools should be intuitive, not just functional, and you push for smart defaults with granular overrides.
Track record of shipping iteratively in complex, multi-stakeholder environments.
Strong data-product instincts: you’ve worked with normalization layers, data pipelines, or analytics products and can reason about schema design trade-offs with engineering.
Ability to manage competing stakeholder needs; external partners, end customers, internal teams, and distill them into a coherent, sequenced roadmap.
Excellent written and verbal communication; comfortable presenting strategy to senior leadership and external partners.
Exhibits a positive, can-do attitude and is willing to work in a hyper-growth environment. In other words, roll up your sleeves and thrive in a fast-paced start-up

Nice To Haves

Background in multi-brand or multi-tenant portal products (e.g., insurance, healthcare, logistics, or channel platforms).
Familiarity with enterprise data governance or consent-based data-sharing models.
Exposure to internationalization (l10n) challenges in enterprise software.
IoT, telematics, transportation, or trucking industry experience.

Responsibilities

Define and maintain the product roadmap for our OEM Common and Proprietary Experiences; continuously prioritize across requests, needs, and technical debt based on business impact.
Author and refine product requirements, user stories, and acceptance criteria; ensure engineering and design have a clear context to execute against.
Lead discovery and definition work: conduct customer interviews, analyze usage data, and synthesize insights into product direction.
Drive alignment across engineering, design, data platform, and partner-facing teams through regular roadmap reviews, sprint planning, and cross-functional syncs.
Collaborate with external OEM partners, gathering integration requirements, negotiating scope and sequencing, and communicating platform capabilities and timelines.
Own migration plans end-to-end: define transition tooling requirements, establish migration criteria, sequence customer cohorts, and partner with TPMO and external partners.
Own go-to-market coordination with product marketing, customer success, and sales enablement for launches, migrations, and feature releases.
Establish and track success metrics (adoption, engagement, migration progress, partner satisfaction) and use them to inform roadmap decisions.
Heavily utilize agentic AI tools to distill strategy, generate and refine requirements, and rapidly prototype concepts to accelerate the path from insight to deliverable across the product lifecycle.
Communicate product strategy, progress, and trade-offs to senior leadership and executive stakeholders on a regular cadence.