Apply Job Type: Full-time
Description:
Who are we?
Truckloads is the leading mobile load board app in America, used by 300,000+ owner-operators to find freight, check rates, and run their businesses. We're building AI that fundamentally changes how carriers interact with loads - from AI-powered load verification and carrier onboarding to automated load booking. Our goal: make Truckloads the AI-native business assistant that owner-operators can't run their business without.
Role Purpose:
Own and deliver Trucker Path's partner-led growth and marketplace roadmap end-to-end, with a strong bias toward technical execution. This includes fuel as one core program, plus parking and other marketplace offerings that require integrations, shared roadmaps, and reliable delivery.
This is an AI-native role: the PM is expected to use AI daily to speed up discovery, synthesis, writing, analysis, and technical validation, while maintaining high quality and clear accountability.
Key Responsibilities:
Own marketplace program growth (partner-led):
- Define strategy, funnel metrics, and quarterly roadmap per program.
- Partner with Growth, Sales, and Ops to ship experiments and measure lift.
- Drive partner-facing alignment on offers, eligibility, tracking, attribution, and reporting.
Own partnerships roadmap across marketplace surfaces:
- Run discovery with partners and internal stakeholders to define needs and success metrics.
- Translate requirements into a prioritized roadmap with clear tradeoffs.
- Coordinate delivery across Product, Engineering, Ops, and partner teams.
Drive integration and technical execution (hands-on):
- Own API and integration readiness: auth, permissions, data flow, edge cases, SLAs.
- Coordinate API specs, monitoring, incident response paths, and post-launch iteration.
- Build lightweight technical prototypes or validation tools to reduce ambiguity.
Operate AI-native product workflows:
- Use AI to synthesize user and partner conversations into crisp problem statements.
- Draft PRDs, API docs, test plans, rollout plans, and stakeholder updates faster.
- Use AI to accelerate analysis (SQL, dashboards, cohort views) and identify levers.
- Create reusable playbooks and templates (launch checklists, partner FAQ, enablement).
Measure outcomes and iterate:
- Define and track success metrics (adoption, conversion, retention, revenue, ops load).
- Run weekly review loops and propose iteration plans based on data and feedback.
Requirements:
- 3+ years in product management, ideally across platform, integrations, B2B, payments, or growth surfaces.
- Strong product judgment: can break down ambiguous problems and ship pragmatic solutions.
Technical execution capability required:
- Can work directly with APIs (REST/JSON), auth (API keys/OAuth), webhooks, and basic networking concepts.
- Can write and debug code for prototypes and internal tools (Python, JavaScript/TypeScript, or similar).
- Can query data (SQL) and produce lightweight analyses to validate hypotheses and monitor launches.
- Strong communication skills in English; can align engineers, non-technical stakeholders, and external partners.
- Strong program management across multiple stakeholders, dependencies, and timelines.
- AI-native working style: uses AI daily for research, synthesis, writing, analysis, and automation, while validating outputs with data and technical evidence.
- Familiarity with the U.S. trucking industry, or ability to ramp quickly through user and partner conversations.
Preferred requirements:
- Experience with fuel ecosystems, payments, loyalty, marketplaces, or B2B platform partnerships.
- Experience shipping third-party integrations and owning post-launch monitoring, incident patterns, and iteration.
What success looks like (first 90 days):
- Marketplace growth roadmaps (fuel, parking, and at least one additional program) are defined, instrumented, and shipping measurable improvements.
- A clear partnerships roadmap that sequences integrations and launches with aligned stakeholders, timelines, and success metrics.
- Reduced ambiguity for integrations: clean specs, faster validation cycles, fewer launch surprises.
- A repeatable AI-native operating cadence (docs, updates, analysis, launch playbooks) that increases execution speed without sacrificing quality.