layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
Technical Product Manager / Engineer
Clera
Indianapolis, Indiana, United States
Source: Clera careers · View original posting
- Pay
- $170,000 — $200,000 USD per year
- Sponsorship
- Existing authorization to work in the United States (visa sponsorship is not available).
Employer job description
From Clera's posting. “We” and “our” refer to the employer.
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.