Technical Product Manager / Engineer

Clera

• $170K — $200K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in product management or product engineering, focused on AI/ML-powered B2B SaaS
  • Hands-on technical understanding for engaging with engineering and AI/ML details
  • Familiarity with LLMs and agentic architectures, avoiding unnecessary AI features
  • Experience in React or full-stack web development
  • A track record of translating customer needs into software requirements
  • Ability to define and measure product KPIs effectively
  • Customer-facing experience in logistics, quality, or supply chain ops
  • Experience in cold chain, pharma logistics, or GxP-regulated environments is a plus

Responsibilities

  • Own and direct the roadmap for core platform modules and AI agents
  • Ship features that effectively surface context, reasoning, and audit logs
  • Engage with customers to simplify complex workflows into actionable products
  • Collaborate with engineering, design, data science, and ML teams to deliver AI features
  • Define success metrics like automated decisions and accelerated releases

Benefits

  • Five weeks of paid time off
  • Comprehensive health insurance coverage
  • Equity in the company
  • Fully remote position for US-based candidates
  • No visa sponsorship available
Full Job Description
About the Role

This role sits at the intersection of product strategy, AI development, and customer outcomes for a cold chain logistics orchestration platform used by major pharmaceutical manufacturers and logistics providers. You will own the roadmap for core platform modules and a growing roster of AI agents that help planning, logistics, and quality teams automate compliance decisions and act on real-time recommendations. The work has real stakes: your product directly influences whether temperature-sensitive medicines and therapies arrive usable.
What You'll Do
  • Own and drive the roadmap for core platform modules and AI agents, including live risk, data summary, lane risk, documentation, and LSP management agents.
  • Ship agentic features with a clear contract: agents surface context and reasoning, execute only what users delegate, and log every action for audit.
  • Spend meaningful time with customers in pharma logistics, QA, and supply chain ops, translating regulated, complex 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 success in concrete terms, such as decisions automated, hours returned, and releases accelerated, and measure it consistently.
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.
  • Hands-on technical foundation sufficient to engage credibly with engineering and AI/ML implementation details; a primarily managerial background without technical depth is not a fit.
  • Working fluency with LLMs, agentic architectures, and retrieval-augmented generation (RAG), with the discipline to avoid shipping AI for its own sake.
  • Hands-on experience with React or full-stack web development; a primarily mobile-only background is not sufficient.
  • Proven experience owning product roadmaps and converting messy customer needs into clear software requirements.
  • Track record of defining and measuring concrete product KPIs and outcomes.
  • Customer-facing discovery experience with logistics, quality, or supply chain operations users.
  • Experience in cold chain, pharma logistics, or GxP-regulated products is a strong plus.
  • Must be currently authorized to work in the United States; visa sponsorship is not available.
Compensation & Benefits

Salary range: $170,000 to $200,000 USD annually, plus equity. Additional benefits include five weeks PTO and full health coverage. Visa sponsorship is not available.
Location

Fully remote, open to US-based candidates only.

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