Director, Mid-Market Sales Ops (Fintech)

TL;DR

Director, Mid-Market Sales Ops (Fintech): Owning and scaling the Mid-Market Sales Operations function to drive revenue growth and operational efficiency with an accent on AI-enabled productivity tools and data infrastructure. Focus on translating growth strategy into operating rhythms, optimizing the sales tech stack, and improving pipeline velocity.

Location: Must be based in Mountain View, California; Atlanta, Georgia; or Plano, Texas

Company

A global financial technology platform powering prosperity for over 100 million customers through products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Define and execute the sales operating strategy aligned with company growth priorities and revenue objectives.
• Manage the Mid-Market operating model, including annual/quarterly planning, revenue targets, and headcount capacity.
• Lead the Rhythm of the Business through pipeline inspection, forecasting, and performance reviews.
• Develop AI-driven TAM activation and dynamic deal-routing programs to increase opportunity creation.
• Rationalize and optimize the sales tech stack (CRM, CPQ) to improve seller productivity and reduce spend.
• Build and lead a high-performing Sales Operations team through coaching and mentorship.

Requirements

• 10+ years of experience in sales or revenue operations leadership roles.
• Proven experience in Mid-Market, SaaS, or high-growth technology environments.
• Demonstrated success designing and deploying AI-driven operational tooling (routing, scoring, TAM activation).
• Strong analytical skills with the ability to translate data into actionable insights for C-suite executives.
• Exceptional program management skills in a matrixed organizational structure.
• Must be based in Mountain View, CA; Atlanta, GA; or Plano, TX

Culture & Benefits

• Competitive compensation package with a strong pay-for-performance approach.
• Eligibility for cash bonuses and equity rewards.
• Comprehensive corporate benefits for full-time employees.
• Environment focused on innovation, leveraging big data and machine learning to power customer prosperity.