Revenue Systems Expert — GTM Systems, RevOps & Revenue Operating Models
Location: In Person in Tel Aviv, Israel
We are building decision intelligence for enterprise revenue: systems that reconstruct messy operational history, simulate decisions before they are made, and recommend the best allocation of limited resources.
This role owns the revenue-system knowledge layer of Abundance.
You will help turn messy commercial reality into structured operating logic: how pipeline is created, how opportunities move, how teams allocate time, how forecasts are built, where bottlenecks appear, how handoffs fail, and which decisions actually change revenue outcomes.
This is not a classic RevOps reporting role. We are not looking for someone to build dashboards. We are looking for someone who can understand how revenue systems work in reality, translate them into modelable structures, and prevent the technical team from optimizing a simplified version of the wrong system.
What you'll work on
- Mapping real B2B revenue systems: SDR, AE, SE, AM, CSM, marketing, partners, and leadership motions
- Understanding how pipeline stages, lead statuses, opportunity fields, activities, meetings, proposals, forecasts, and CRM history reflect reality — or fail to reflect it
- Helping reconstruct messy CRM data into accurate commercial timelines
- Defining the meaning of stages, handoffs, resource-consuming events, deal maturity, forecast categories, and commercial signals
- Identifying the revenue decisions that matter most: capacity allocation, segment prioritization, pipeline coverage, territory allocation, discount trade-offs, sales effort allocation, and forecast-risk response
- Working with the Decision Systems Lead to translate revenue reality into modelable constraints, variables, assumptions, and decision problems
- Working with the Engineering Lead to define what the product must capture, validate, expose, and explain to users
- Reviewing model outputs and asking whether they make commercial sense
- Helping interview customers, design POCs, and turn messy client context into structured modeling requirements
- Reducing founder dependency by owning part of the revenue-system interpretation work
About you
- You have operated inside complex B2B revenue organizations
- You understand how revenue teams actually work, not only how they are supposed to work in CRM
- You know the difference between a clean dashboard metric and the messy operational reality behind it
- You understand pipeline generation, qualification, sales cycles, forecasting, capacity, handoffs, stage definitions, and CRM data quality
- You can speak with CROs, RevOps leaders, Sales Ops, GTM leaders, and technical people
- You are comfortable with ambiguity, incomplete data, and imperfect systems
- You are structured enough to turn commercial intuition into rules, definitions, schemas, and decision logic
- You are high-agency, direct, and able to challenge both business and technical assumptions
We are looking for a hybrid profile: someone who has both personally carried a B2B sales quota, ideally in a full-funnel or complex sales motion, and later worked across RevOps, GTM strategy, Sales Operations, Revenue Analytics, CRM/process architecture, Sales Planning, or Business Operations. If you have only sold, you may miss the system-level view. If you have never sold, you may miss the field reality behind the data. This role requires both.
Not required
You do not need to be an operations research scientist. You do not need to be a software engineer. You do not need to build the simulation engine yourself.
The core requirement is the ability to understand real revenue systems deeply enough to help Abundance reconstruct, model, simulate, and optimize them correctly.
Reach out
If this problem feels urgent to you, email eph@abundance.tech with a few things we should know about you, the revenue systems you have worked on, and why this role is interesting to you. If you have the same urgency we do, you can also text or call me directly on WhatsApp: +972 58 456 13 15.