Senior AI Product Manager - Remote, Pharma Logistics

Clera; Indianapolis (IN); On-site; USD 170,000 - 200,000; Full time

Benefits offered by this job

Equity

5 weeks PTO

Full health benefits

Job summary

Clera is seeking a senior product leader to own the roadmap for our AI-powered logistics platform, guiding core modules and customer-built agents. You will translate regulated workflows into shippable features and define success metrics.

Work with engineering, design, data science, and ML to deliver reliable AI capabilities in pharma logistics, ensuring regulatory alignment and real-world impact.

Qualifications

• 5+ years in product management or engineering, with AI/ML-powered B2B SaaS experience.
• Fluent with LLMs, AI agents, and retrieval-augmented generation (RAG) to collaborate with ML engineers.
• Proven ability to own roadmaps and turn customer discovery into software requirements.
• Strong track record of cross-functional collaboration with engineering, design, data science, and ML teams.
• Experience defining and measuring concrete product outcomes and KPIs.
• Customer-facing discovery experience in pharma logistics, QA, or supply chain operations.

Responsibilities

• Own the roadmap for core platform modules and AI agents, including live risk and data summary agents.
• Ship agentic features with a transparent reasoning contract and auditable actions.
• Engage with pharma logistics customers to translate regulated workflows into deliverables.
• Collaborate daily with engineering, design, data science, and ML teams to deploy AI features.
• Define and track concrete success metrics like automated decisions and hours saved.

Skills

Product management

AI/ML-powered SaaS

LLMs & AI agents

Roadmap ownership

Customer discovery

KPIs & outcomes

Cross-functional collaboration

Tools

RAG frameworks

OpenAI tooling

Job description

Clera is seeking a senior product leader to own the roadmap for our AI-powered logistics platform, guiding core modules and customer-built agents. You will translate regulated workflows into shippable features and define success metrics.

Work with engineering, design, data science, and ML to deliver reliable AI capabilities in pharma logistics, ensuring regulatory alignment and real-world impact.