# Product Manager at Cleo

> Remote · United States · Unspecified · Product · open. Source: https://alderhq.app/jobs/greenhouse%3Acleo%3A4742841005 (read 2026-11-05).

## Facts (observed)

- Company: [Cleo](https://alderhq.app/companies/cleo)
- Location text: Remote - USA; Remote - USA
- Where it can be done from (inferred): Remote · United States (evidence: "Location: Remote - USA; Remote - USA")
- Posted: 2026-10-09 (27 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/cleo/jobs/4742841005
- Skills listed (inferred): LLMs

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 415): p25 $145k, median $193k, p75 $230k

## Description (the employer's text)

We're hiring a Senior Product Manager to own a core part of our supply chain orchestration product. You'll work with customers whose operations depend on orders, shipments, and partner transactions moving correctly across companies and systems. Your job is to find where those workflows break down, decide what to build, and deliver products that measurably improve how our customers operate.

This is a senior, individual-contributor role. You'll own a product area from discovery through adoption, make prioritization calls across customer, platform, and commercial needs, and bring roadmap decisions and results to executive leadership. You'll go deep on technical details with engineering, and you'll apply AI where it clearly helps: diagnosing exceptions, guiding resolution, and removing manual work.

You'll work with Engineering, UX, Architecture, and Data Scientists in product development, and with Sales, Customer Success, Services, and Marketing to bring products to market.

### Essential Duties & Responsibilities

### Lead supply chain product strategy

- Own the product strategy and roadmap for supply chain orchestration, prioritizing by customer problem, business value, and fit with the platform.
- Develop a deep understanding of workflows such as order-to-cash, order fulfillment, shipment execution, and supplier and customer collaboration, including the exceptions that occur across organizational boundaries.
- Run discovery with operations users and business leaders. Turn workflow gaps into scalable product capabilities, and separate reusable opportunities from customer-specific customization.
- Define and track the outcomes your product should improve, such as order cycle time, on-time delivery, exception resolution time, manual effort, and trading partner onboarding time.
- Partner with Sales, Customer Success, Services, and Marketing to validate demand, position launches around customer value, enable field teams, and drive adoption after release.
### Drive technical product decisions

- Define requirements for workflows spanning ERP, WMS, TMS, and trading partner systems, including APIs, EDI transactions, and business events.
- Work with engineering and architecture on data models, integration behavior, observability, security, reliability, and design tradeoffs.
- Turn strategy into clear requirements, prototypes, acceptance criteria, and phased releases, and lead build, buy, or partner decisions.
### AI Fluency Competencies

- Identify and prioritize AI use cases, such as exception diagnosis, guided resolution, and workflow automation, based on customer value, feasibility, and data readiness.
- With engineering, define how each AI capability will be evaluated and when a person needs to review or approve its actions. Measure task success, reliability, adoption, cost, and business impact.
### Prerequisites

- Bachelor's degree in engineering, computer science, supply chain, business, or a related field, or equivalent practical experience.
- 5+ years of product management experience, including significant time owning an enterprise or B2B SaaS product area end-to-end.
- Supply chain expertise in workflows such as order-to-cash, fulfillment, shipment execution, or trading partner collaboration, gained in product, consulting, or operations roles. You understand the users, the exceptions, and the metrics.
- A track record of taking products from discovery through launch and adoption, with measurable business results.
- Strong technical fluency in APIs, EDI, enterprise integration patterns, data models, and SaaS architecture. You can discuss trade-offs with engineers in depth.
- Practical understanding of what modern AI, including LLMs and agent-based workflows, can and can't do, and the ability to define fit-for-purpose evaluations with technical partners.
- Sound judgment on priorities, the ability to influence without authority, and a record of presenting decisions and results to executives.
- Clear writing and communication, including explaining technical and AI concepts to business audiences.
- Willingness to travel 10–15% to visit customer sites and operations, meet partners, attend industry events, and join team planning sessions.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acleo%3A4742841005 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.