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Revenue Operations Evolving into Revenue Engineering

The best revenue operations pros are obsessed with a wide-variety of disciplines:

These RevOps leaders love to apply their learnings and translate them into improved user experience, streamlined workflows and ultimately — efficient revenue engines.

There are oversimplifications and potentially even misconceptions regarding which functions revenue operations provide an organization.

Revenue operations is responsible for optimizing go-to-market efficiency.

This is an exciting role because it forms a culmination point where technology, process and teamwork intersect.

Whether the team is entirely client-facing (success, sales, sales development), middle of the house (product support) or deep in the technical realms (eng, r&d) — revenue operations has meaningful value to add to their daily practices.

As an example, RevOps is best positioned to refine the systems and processes used by the Success team. These systems can be optimized to capture high-value product/service feedback. With automation this feedback is delivered to Engineering and they can circle Product into the discussion to begin iterative improvements.

This trend is accelerating rapidly.

Economic conditions continue to contract with disruptions across industries popping up at increasing rates.

Companies are turning to RevOps to institutionalize efficiencies by finding opportunities to improve effectiveness, consistency, reliability of target OKRs / KPIs.

Revenue operations may be an understatement, and an inaccurate title.

Given the rapid pace of progress in technology + the increasing number of responsibilities asked of revenue operations.

I describe myself as a Revenue System Engineer, or a Revenue System Architect depending on the work I am performing.

As technology evolves and we will see individual contributors and managers replaced with artificial intelligence.

I am highly confident that “revenue engineers” will be the guys and gals behind the screens optimizing the intersection of these different Human teams and AI teams working in unison.

The future looks bright for revenue operations, revenue, engineering and revenue architecture.

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