Revenue Operations

RapidWorks; Boston (MA); On-site; USD 140,000 - 200,000; Full time

Job summary

RapidWorks seeks a single owner for the data platforms spanning Sales, Marketing, Customer Success, Support, and Finance. You will consolidate ownership, define governing rules, and build a hub-and-spoke architecture centered on Salesforce with a central data lake for analytics.

This role leverages AI/LLM tooling to reconcile data, classify records, and automate governance tasks, delivering consistent metrics across the business while owning the data model and integrations with a partner network.

Qualifications

• 5+ years in Business Systems, RevOps, Sales Ops, or related function.
• Deep Salesforce data fluency with hands-on SOQL and cross-object formulas.
• Ability to diagnose data discrepancies by inspecting data shapes across systems.
• Experience integrating Salesforce with at least one other platform.
• Experience moving CRM/data into a central analytics environment (Snowflake/Databricks/BigQuery).
• Experience applying LLM tooling and AI in governance and automation workflows.
• Strong governance, data hygiene, and master data management.
• Ability to operate under ambiguity and coordinate across multiple teams.
• Excellent collaboration and communication; document decisions.

Responsibilities

• Own data governance and reporting architecture across Salesforce and spokes.
• Maintain data dictionary, change control, and field ownership.
• Ensure data hygiene through deduplication, merge rules, and validation.
• Diagnose semantic mismatches between systems and fix them.
• Build reporting layer for cross-functional leadership and exec views.
• Unify customer record across acquisition, retention, support, and billing.
• Apply LLM tooling to governance tasks and keep docs current.
• Own Salesforce object model: fields, picklists, formulas, hierarchy.
• Drive hub-and-spoke buildout toward central data lake and coordinated integration.
• Triage inbound requests and decide what to build in-house vs external partner.
• Make master-data calls that vendors can’t.

Skills

5+ years in Business Systems

Salesforce data fluency

Cross-system diagnostic instinct

Integration experience

Data warehouse or lake exposure

AI fluency

Governance discipline

Ownership under ambiguity

Collaboration and communication

Stakeholder management

Tools

Snowflake

Databricks

BigQuery

Python (pandas)

n8n / Zapier

Apex

Job description

We’re hiring the single owner of the systems that hold our customer data, spanning Sales, Marketing, Customer Success, Support, and Finance and Accounting. Today that ownership is shared: several teams, plus an external development partner, each hold a piece. Everyone involved is capable, but split ownership means definitions drift between platforms, fields get added by ticket, and the same question can return different answers depending on which system you ask it in. This role consolidates all of it under one accountable owner.

The destination is a hub-and-spoke architecture: Salesforce as the system of record at the center, our GTM, post-sale, support, and billing platforms integrated as spokes with clearly owned field mappings, and a central data lake as the analytics layer so reporting no longer depends on which system you happen to ask. The goal is one customer record that holds from first touch through renewal, support, and invoice.

AI is central to how this role operates, not an add-on to it. You’ll use LLM tooling as leverage to cover a surface area that would otherwise take a team: reconciling data across systems, classifying and matching records, drafting documentation, and investigating discrepancies. You’ll also build AI into how the business runs, from account research and outreach personalization to signal extraction and scoring. And you’ll make our data usable by AI in the first place, since governed, well‑defined data is the prerequisite for anything we automate on top of it.

This role reports to the CFO by design. Data governance is foundational here rather than a byproduct: the definitions behind our customer, funnel, and revenue numbers need a single accountable owner, held to the same standard as the numbers Finance reports. It is also hands‑on. You’ll write the SOQL, build the fields and dashboards, make the data‑model calls, and own the request queue end to end, rather than handing requirements to someone else and waiting.

This position will be based in-office in BOSTON, MA

Core responsibilities

Data governance & reporting architecture

• Own the definitions behind our customer and funnel metrics, and reconcile them across Salesforce and every platform feeding it: sales engagement, enrichment, customer success, support, billing
• Maintain the definitions of record: a documented data dictionary, change control on the object model, and clear ownership of every field that feeds a reported number
• Own data hygiene as a standing discipline: deduplication of accounts and contacts, matching and merge rules, validation rules, and required‑field enforcement so records enter clean instead of getting cleaned later
• Diagnose and fix semantic mismatches between systems, including picklists collapsing into booleans, activity records that can’t be segmented by account attributes, and duplicate customer records
• Build the reporting layer that lets Sales, Marketing, Finance, CS, and Support leadership open the same report and reach the same conclusion, including exec‑level views by vertical
• Unify the customer record across acquisition, retention, support, and billing so lifecycle and revenue questions can actually be answered
• Apply LLM tooling to the grind of governance work: reconciling values across systems, surfacing duplicate and mismatch candidates, and keeping documentation current
• Own the Salesforce object model as a designed system rather than an accumulation of requests: fields, picklists, cross‑object formulas, record structure, account hierarchy
• Drive the hub‑and‑spoke buildout and the move toward a central data lake, sequencing integration work so each spoke lands with owned definitions rather than another source of drift
• Serve as the single point of contact for inbound requests across Sales, Marketing, CS, Support, and Finance: triage, prioritize, and decide what gets built in‑house versus routed to our external development partner
• Make the master‑data calls that outside vendors can’t, such as what constitutes a customer, how accounts map across systems, and what "active" means

Routing & automation reliability

• Own lead and account routing end to end, and get automation accuracy to 100% with monitoring that catches drift before a rep does
• Instrument the funnel to show where deals stall and why
• Build and maintain ICP scoring, intent signal pipelines, and account prioritization logic that feed outbound
• Scale account research and outreach personalization using LLM‑assisted workflows that are measurable and repeatable, not one‑off prompts

What we’re looking for

• 5+ years in Business Systems, RevOps, Sales Ops, Marketing Ops, or a comparable technical operations function
• Deep Salesforce data fluency. You know the object model cold, write SOQL, build cross‑object formula fields and reports without a tutorial, and understand how CRM data has to be structured to be trustworthy downstream
• Cross‑system diagnostic instinct. You’ve traced a reporting discrepancy to its root by inspecting the actual shape of the data, not by trusting a field name
• Integration experience. You’ve owned a sync between Salesforce and at least one adjacent platform, including the field mapping and the entity‑resolution decisions that come with it
• Warehouse or lake exposure. You’ve moved CRM, GTM, and post‑sale data into a central analytics environment (Snowflake, Databricks, BigQuery, or similar) and modeled it for reporting
• AI fluency. You already work this way: LLMs in production for classification, extraction, summarization, and prompt chaining, and AI tooling woven into your own workflow rather than tried once
• Governance discipline. You document definitions before you build, version your changes, enforce hygiene at the point of entry rather than by periodic cleanup, and hold a standard when it would be faster not to
• Ownership under ambiguity. You turn open‑ended business questions into working systems with minimal specification. Consulting, agency, or early‑stage backgrounds fit well here
• Collaboration and communication. You partner well across teams you don’t manage, translate between technical constraints and plain business language, and write decisions down so other people can follow and build on them
• Stakeholder range. Comfortable serving Sales, Marketing, Finance and Accounting, CS, and Support at once, holding the line when a request conflicts with the data model, and doing it without spending the relationship

Strong plus:

Python (pandas, transformation pipelines, scoring models), workflow orchestration (n8n, Zapier, or custom) Apex‑level development stays with our external partner. You’ll direct that work, not write it.