AI-Driven Biotech Pricing & Packaging Ops Lead

Benchling; San Francisco (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work arrangement

On-site 3 days per week

Job summary

Benchling, the AI platform for biotech R&D, is seeking a pricing/packaging lead to drive pricing strategy and GTM operations. You will coordinate cross-functional teams across Product, Sales, Finance, IT, and Legal to design, test, and rollout pricing and packaging changes.

The role emphasizes building internal and external pricing artifacts, conducting competitive analysis, and guiding go/no-go decisions based on data. A hybrid work model is offered with on-site collaboration most weeks.

Qualifications

• 5+ years in pricing, sales/GTM operations, or strategy consulting with direct exposure to SaaS pricing and packaging.
• Ability to run a competitive pricing scan or basic ASP analysis independently and flag key findings.
• Experience at a pricing consulting firm or leading pricing/packaging redesigns at a platform or data products company.
• Strong program management: concise communication, planning, prioritization, stakeholder ownership and closure.

Responsibilities

• Manage P&P rollout across IT/Systems, Sales Enablement, Deal Desk, CX, Finance and Legal; flag risks early.
• Build and maintain internal pricing artifacts: enablement decks, FAQs, rollout timelines, training materials.
• Lead external-facing pricing collateral development: pricing pages, one-pagers, sales guides.
• Collaborate with Deal Desk and Systems on CPQ configuration, SKU bundling, and contract updates.

Skills

Pricing strategy

GTM operations

Competitive pricing

Project management

Cross-functional collaboration

Clear communication

Job description

Benchling, the AI platform for biotech R&D, is seeking a pricing/packaging lead to drive pricing strategy and GTM operations. You will coordinate cross-functional teams across Product, Sales, Finance, IT, and Legal to design, test, and rollout pricing and packaging changes.

The role emphasizes building internal and external pricing artifacts, conducting competitive analysis, and guiding go/no-go decisions based on data. A hybrid work model is offered with on-site collaboration most weeks.