Head of Revenue Operations

Who we are:

BigID is an innovative tech startup that focuses on solutions for data security, compliance, privacy, and AI data management. We're leading the market in all things data: helping our customers reduce risk, drive business innovation, achieve compliance, build customer trust, make better decisions, and get more value from their data.

Who we seek:

As our Revenue Operations leader, you will own the operating rhythm, planning processes, analytics, and systems that drive our Go-To-Market organization. You will partner closely with executive leadership to improve forecast accuracy, accelerate pipeline generation, optimize seller productivity, and scale the infrastructure required to support growth. You will be critical to ensuring our GTM Leadership has actionable, data-driven intelligence to quickly make and execute key decisions.

As a leader in a growing start-up, you will make an impact from day one, with no bureaucracy or red tape to distract you from the very important tasks at hand. You will leave an indelible mark on the organization as you work hand in hand with Executives and GTM Leadership to lead a reporting and analytics foundation that will be critical for supporting future growth.

Key candidate attributes most likely to succeed in this environment:

• Executive operator and business partner. Able to move seamlessly between strategic planning discussions with executives, forecast and pipeline inspections with field leadership, and detailed operational problem-solving with the team. Understands how to translate business objectives into operational execution.
• Outcomes over process. Highest priority on owning outcomes rather than managing processes. This role requires a doer - who picks up ambiguous, high-stakes problems and drives them to resolution without waiting for perfect information or organizational clarity.
• Low ego, high trust. The GTM leadership landscape requires someone collaborative and non-territorial. Someone focused on driving outcomes through influence, partnership, and trust will be most successful in this environment.
• Analytically strong and willing to get their hands dirty. The data environment is complex and imperfect. The candidate needs to be comfortable rolling up their sleeves - building models, pressure-testing numbers, finding inconsistencies - rather than delegating all analytical work. Strong judgment in data interpretation matters as much, or more, as knowing how to pull it.
• A builder of people, not just systems. The team has real talent at every level. GTM Systems needs air cover a