Logistics Jobs in San Francisco, CA

About the Role

Join a well-funded Series A startup building the logistics orchestration and quality compliance platform for cold chain. Every year, billions of dollars of temperature-sensitive products — vaccines, therapies, and biologics — are lost in transit because planning, logistics, and quality teams operate on disconnected point solutions and make decisions too late. This platform brings every data source together, automates release and qualification decisions, and delivers prescriptive recommendations in real time.

The platform is AI-native and self-improving: each shipment sharpens lane models, updates SOPs from reality, and ensures the next decision starts from evidence rather than a blank form. This is a high-ownership, customer-facing role with a direct line to the executive team and Fortune 500 customers in pharmaceutical manufacturing and logistics.

What You'll Do

• Own the product roadmap for core platform modules and a growing roster of AI agents (live today: risk and data summary agents; coming next: lane risk, documentation, and LSP management agents, plus custom agents customers build themselves)

• Define and enforce a clear agentic contract: agents surface context and recommendations with reasoning shown, execute only what users delegate, and log every action for audit

• Spend meaningful time with customers in pharma logistics, QA, and supply chain operations — translating complex, regulated workflows into simple, intuitive 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 (decisions automated, hours returned, releases accelerated) and hold the team accountable to them

• Maintain and refine product requirements, roadmap documentation, and cross-functional delivery processes using agile methodologies

What We're Looking For

Required

• 5+ years in product management (or equivalent technical PM / engineer-to-PM background), with at least 2+ years building AI/ML-powered B2B SaaS products

• Proven experience collaborating with engineering teams to deliver software features on a roadmap

• Experience creating and maintaining product roadmaps and writing clear product requirements

• Strong cross-functional collaboration skills across engineering, design, analytics, and QA

• Fluent enough with LLMs, agents, and RAG architectures to hold your own with ML engineers — and disciplined enough to avoid shipping AI for its own sake

• Experience defining and tracking KPIs for shipped features

• Familiarity with agile methodologies (Scrum or Kanban)

• Must be US-based; no visa sponsorship available

Nice to Have

• Experience in cold chain, pharma logistics, or GxP-regulated environments

• Comfort working in or leading remote/distributed teams

• Background in supply chain ops, QA workflows, or regulated SaaS products

You Are

• A simplifier: you shrink scope, ship, and iterate

• Customer-obsessed, with shipped products you're genuinely proud of

• Equally comfortable in strategic roadmap conversations and hands-on technical discussions with engineers

Tech Stack

Python, Node.js, React, PostgreSQL (Supabase), Azure Kubernetes, feature flagging, and modern LLM tooling in the development loop.

Compensation & Benefits

• Salary: $170,000 – $200,000 USD annually

• Meaningful equity package

• Five weeks PTO

• Full health benefits

Location

Fully remote — open to candidates based anywhere in the United States. Visa sponsorship is not available.