Overview
About the Role This is a hands-on product role at a Series A logistics intelligence company building AI-powered orchestration and quality compliance software for cold chain supply chains. You will own the product roadmap for core platform modules and a growing roster of AI agents, working directly with engineering, data science, ML, and Fortune 500 customers in pharma and logistics. The work has real stakes: the product helps ensure vaccines, therapies, and biologics arrive usable. What You'll Do Own and drive the roadmap for core platform modules and an expanding set of AI agents, including live risk, data summary, lane risk, documentation, and LSP management capabilities. Define and enforce a clear contract for agentic features: surface context and recommendations with visible reasoning, execute only on delegated actions, and log every action for audit. Conduct deep customer discovery
Full job description
Full Job Description
About the Role
This is a hands-on product role at a Series A logistics intelligence company building AI-powered orchestration and quality compliance software for cold chain supply chains. You will own the product roadmap for core platform modules and a growing roster of AI agents, working directly with engineering, data science, ML, and Fortune 500 customers in pharma and logistics. The work has real stakes: the product helps ensure vaccines, therapies, and biologics arrive usable.
What You'll Do
-
Own and drive the roadmap for core platform modules and an expanding set of AI agents, including live risk, data summary, lane risk, documentation, and LSP management capabilities.
-
Define and enforce a clear contract for agentic features: surface context and recommendations with visible reasoning, execute only on delegated actions, and log every action for audit.
-
Conduct deep customer discovery with pharma logistics, QA, and supply chain operations teams and translate complex, regulated workflows into simple, shippable product.
-
Collaborate daily with engineering, design, data science, and ML to deliver AI features grounded in the platform's data and knowledge layers.
-
Define concrete success metrics such as decisions automated, hours returned, and releases accelerated, and hold the team accountable to them.
-
Shrink scope, ship iteratively, and improve the product based on real-world usage signals.
What We're Looking For
-
5 or more years of product management or product engineering experience, with at least 2 years building AI/ML-powered B2B SaaS products.
-
Strong hands-on technical foundation sufficient to engage credibly with engineering and AI/ML implementation details.
-
Working fluency with LLMs, agents, and retrieval-augmented generation (RAG).
-
Hands-on React or full-stack web development experience.
-
Proven ability to own roadmaps, convert customer needs into software requirements, and define and track meaningful KPIs.
-
Experience with customer-facing product discovery, ideally with pharma logistics, quality, or supply chain operations users.
-
Background in cold chain, pharma logistics, or GxP-regulated products is a plus.
-
Existing authorization to work in the United States (visa sponsorship is not available).
Compensation & Benefits
Base salary $170,000 to $200,000 USD annually, plus equity. Five weeks PTO and full health benefits. Visa sponsorship is not available.
Location
Fully remote, United States only.
Tips for this job
Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.
- Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
- Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
- Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
- Apply through the original employer or official recruitment destination shown on this page.
Verification notes
Discovered directly from the employer’s public Ashby Job Postings API. The complete public role content and compensation metadata were normalized into safe candidate-facing sections.
Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.
Clera (ashby) ↗Browse current Job and Scholarship listings from Clera (ashby) →
