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Product at Nash

AI Summary
Nash is seeking an experienced Product Manager to shape AI-enabled enterprise logistics solutions for complex delivery operations. The role owns product strategy, discovery, requirements, prioritization, launch validation, adoption analytics, and go-to-market enablement. It requires close collaboration with engineering, design, solutions, sales, and enterprise customers while integrating with OMS, WMS, TMS, and POS systems. The successful candidate will bring strong technical product judgment, API and integration fluency, and the ability to turn ambiguous operational needs into measurable product outcomes.
Remote from
USA
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
4 Dec 2026
Listing views
16
Application actions
1
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Opportunity details

About this role.

Product at Nash

The Role

Join Nash, an autonomic logistics platform helping enterprises plan, execute, and manage deliveries across diverse fleets, partners, and networks. As a Product Manager, you’ll be at the heart of shaping innovative logistics solutions powered by advanced AI models and integrations. You’ll drive the product vision, collaborating closely with engineering, design, solutions, and go-to-market teams to solve real-world operational challenges for large enterprises.

Our platform operates in highly complex environments, handling orders, inventory, dispatch decisions, delivery updates, and exception management across customer fleets and third-party systems. As a Product Manager, you will translate these workflow challenges into actionable product development, ensuring our solutions deliver measurable value for enterprise customers.

What You’ll Own

  • Define and execute product strategy for core logistics solutions, aligning with business objectives and customer needs.

  • Collaborate with engineering, design, and solutions teams to design, build, and launch features that integrate seamlessly with enterprise OMS, WMS, TMS, and POS systems.

  • Lead product discovery, gathering insights from customers, internal teams, and market research to identify new opportunities and refine existing features.

  • Own the product lifecycle from concept through launch, including scoping, prioritization, requirements definition, and hands-on validation of technical solutions.

  • Work directly with customers and solutions engineers to develop use cases, validate requirements, and ensure each release delivers real workflow improvements.

  • Build and refine product documentation, enablement materials, and value narratives to support sales, customer success, and go-to-market initiatives.

  • Drive analytics and reporting to measure success, understand customer adoption, and identify areas for continuous improvement.

  • Stay hands-on with the latest AI advancements, rapidly testing new models, agent capabilities, and feature prototypes with real-world customer use cases.

  • Serve as a key product evangelist, representing Nash’s vision with customers, partners, and at industry events.

What We’re Looking For

  • 6+ years of product management experience, ideally in SaaS, logistics, supply chain, or enterprise software.

  • Strong technical acumen with hands-on experience in system integrations, APIs, and complex enterprise environments.

  • Proactive discovery and analytical skills—you ask the right questions, explore unarticulated pain points, and transform ambiguous needs into clear requirements.

  • Exposure to AI tools and models, with an understanding of how cutting-edge tech can drive value in operational workflows.

  • Experience working cross-functionally to lead collaborative product development with engineering, design, and technical sales or solutions teams.

  • Ability to draft clear requirements, user stories, and comprehensive use cases based on structured discovery and customer feedback.

  • Excellent communication skills; comfortable presenting to both technical and executive audiences.

  • Ownership mindset—you thrive in fast-paced environments with evolving requirements and can drive initiatives from 0 to 1.

Even better if you have:

  • Previous experience in logistics, delivery, or supply chain technology.

  • Experience shipping AI-native or agent-driven product features.

  • Hands-on data analysis or financial modeling skills to quantify product impact.

  • Flexible PTO and remote-first culture.

More about Nash

Nash is the platform that powers modern logistics.

Commerce has inverted. For decades, customers came to where products and services were. Now products and services come to them, on their terms, in real time. That shift has turned every company into a logistics company, even though almost none of them were built to be one. Couriers, fleets, gig workers, parcel carriers, in-store labor, and increasingly autonomous systems all have to be coordinated in real time, against tighter windows and rising expectations, with hard-fought customer trust on the line.

Nash unifies decisioning, execution, and capacity into a single programmable platform. Real-time, AI-native intelligence determines what should happen, operational control executes it, and the platform dynamically orchestrates capacity from any source: a company’s own fleets, partners, or the Nash delivery network. Whether a job involves a courier, a gig driver, an internal fleet, a store employee, a technician, or an autonomous vehicle, Nash selects the right resource and manages execution through completion.

We power delivery and logistics for some of the most recognizable brands in commerce, including Walmart, Urban Outfitters, 7-Eleven, and Woolworths, alongside platforms like Shopify and Toast. Over the next decade, logistics will become as foundational to commerce as payments, cloud, and connectivity. Nash is the platform that powers it.

Nash was founded in 2021 by Mahmoud Ghulman (2x Founder, MIT) and Aziz Alghunaim (2x Founder, 2x YC, Ex-Palantir, MIT) and is backed by Y Combinator, a16z, and other top investors. We are headquartered in San Francisco.

What You’ll Love About Us

✅ Early-stage, well-funded startup – directly impact the company and grow your career!
✅ Quarterly broader team on-sites to bond with teammates
✅ Competitive compensation and opportunity for equity
✅ Flexible paid time off
✅ Health, dental, and vision insurance for US employees

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, 0-to-1 product role in a technically complex enterprise logistics environment with AI, integrations, and multiple stakeholder groups. The manager must independently make prioritization decisions while translating real customer workflows into scalable platform capabilities.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$165,000
US market range (per year)$140k–$200k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The annual cadence and USD market estimate are inferred from a full-time, US-based senior Product Manager role at an early-stage enterprise SaaS and logistics company.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you prioritize a feature request from an enterprise customer that requires a custom integration?

I would assess the customer impact, strategic fit, revenue or retention implications, implementation effort, reusability across the customer base, and operational risk. I would then define the smallest scalable solution, validate assumptions with engineering and the customer, and compare it against other roadmap opportunities using a transparent prioritization framework.

Describe how you would discover workflow problems in a delivery-operations environment.

I would combine stakeholder interviews, workflow observation, support and exception data, journey mapping, and analysis of operational metrics such as dispatch time, delivery success, cancellation rates, and manual interventions. I would synthesize findings into prioritized problem statements and validate them with representative users before committing to a solution.

What considerations are important when launching an AI-driven feature for enterprise logistics customers?

I would define the decision the model supports, establish measurable success and safety metrics, ensure data quality and integration reliability, and provide clear human override paths. I would start with a limited pilot, monitor outcomes and edge cases, collect user feedback, and expand only after demonstrating operational value and dependable performance.

How do you work effectively with engineering, design, and solutions teams when requirements are ambiguous?

I align the team around the customer problem, desired outcome, constraints, and decision criteria rather than prematurely prescribing a solution. I use lightweight prototypes, technical discovery, clear user stories, and regular decision checkpoints to reduce uncertainty while keeping ownership shared across disciplines.

How would you measure whether a new dispatch-management capability is successful?

I would establish a baseline and track adoption, task completion, dispatch speed, exception rate, delivery SLA performance, cost per delivery, and customer satisfaction. I would also segment results by customer and workflow type, pair quantitative data with user feedback, and use the findings to prioritize follow-up improvements.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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