BizOps & Strategy, Pricing

Decagon is looking for someone to join the Business Operations & Strategy team to lead commercial and pricing strategy. The Business Operations & Strategy team sits within the Founder’s Office, a team of high-agency generalists and ex-founders with extremely high leverage and own things like partnerships, business development, pricing strategy, AI transformation, data/analytics, growth, etc.

Your primary goal will be to accelerate and streamline our enterprise go-to-market motion - working closely with our GTM team to close deals. Initiatives will range from developing pricing & packaging strategy, to building internal deal and pricing processes, to proposal creation and negotiation across our enterprise customer base.

This is an exciting role blending strategic thinking and high-caliber execution. We are looking for highly-motivated problem solvers who combine analytical rigor with world-class relationship building skills.

In this role, you will

Own end-to-end deal structuring for enterprise opportunities, partnering directly with account executives and sales leaders to build proposals and drive deals to close

Work to develop and refine Decagon's pricing and packaging strategy

Build and scale internal commercial processes as the company expands

Collect and analyze pricing and deal data to shape high level company strategy

Be a thought leader in how to price agentic AI solutions

Your background looks something like this

3+ years of experience in consulting / investment banking / investing / high-velocity startups

Deep curiosity and desire to solve hard problems

Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them

Strong cross-functional collaborator - you've worked regularly with finance and legal teams

Strong communicator - both verbal and written

Even better if you have

Experience building or scaling a deal desk function at a high-growth or early-stage company

Previously led implementation of a CPQ platform

Familiarity with consumption-based or usage-based pricing models in addition to traditional SaaS subscription structures

SQL or other data analytics experience