Pricing & Packaging Ops Manager

We are rebuilding biotech for the AI era. When a breakthrough is delayed, the world waits. Getting a molecule from discovery to patients, or a crop from lab to field, involves thousands of slow, manual, disconnected steps. AI has the potential to change this, compressing decades of R&D work into years. But that only happens when clean, structured scientific data and AI are built into how science gets done. Benchling is the AI platform for biotech R&D. Scientists use Benchling to design experiments, capture structured data, and run AI agents and models directly in their workflows. Over 200,000 scientists around the world trust Benchling to power their most important work, from academic labs to Sanofi, Moderna, and more than half of the world's top 50 biopharma. We’re building an AI scientist for our customers. We can’t do that if we haven’t built the muscle ourselves. AI fluency is the foundation we build on; it's core to how we work, and we're committed to helping every new hire integrate it into their day-to-day. As part of our interview process, you'll complete a brief AI-focused exercise or discussion so we can understand how you think about and use AI to drive impact in your role. Feel free to reference any tools, platforms, or workflows you use today.

RESPONSIBILITIES

Project manage execution of the P&P rollout: track workstreams across IT/Systems, Sales Enablement, Deal Desk, CX, Finance and Legal, and flag risks before they slip. Build and maintain internal-facing pricing artifacts: enablement decks, FAQ docs, rollout timelines, and training materials for Sales and CS. Manage the build process for external-facing pricing collateral (pricing pages, one-pagers, sales guides) Partner with Deal Desk and Systems on CPQ configuration, SKU bundling, and contract updates: translate pricing decisions into implementation requirements. Conduct competitive pricing and packaging research: monitor competitor moves, pull public pricing data, and synthesize findings into clear comparisons, not raw notes. Support pricing analysis: pull and organize data for ASP, win rate, and deal size questions, and flag patterns worth a closer look. Manage the pilot testing process: recruit pilot accounts, track feedback, synthesize results into a go/no-go recommendation.