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Omni Analytics

Unified analytics platform with governed metrics

Head of Revenue Operations

Sales OperationsConfirmed live in the last 24 hours
Full-time$240k - $300k /yr

About the Job

Requirements

  • At least 5 years of experience in Sales Operations, Revenue Operations, or similar roles.
  • At least 1 year of experience leading lean revenue or sales operations teams in a B2B SaaS business, in addition to prior individual-contributor experience.
  • Ability to build and troubleshoot Salesforce workflows, data structures, automation, and integrations, and explain the decisions behind the work.
  • Experience deploying AI or model-assisted workflows that are used by people, with the ability to explain personal contribution, output validation, and results.
  • Ability to independently build and explain financial and capacity models connecting pipeline, conversion, sales cycles, representative ramp, retention, and investment.
  • Understanding of unit economics and the differences among bookings, recurring revenue, recognized revenue, and cash.
  • Ability to investigate data using SQL, spreadsheets, and business intelligence tools; reconcile conflicting figures; identify incomplete or misleading analyses; and make recommendations with clear assumptions.
  • Ability to build trust with senior leaders, constructively challenge assumptions, resolve competing priorities, and develop persuasive business cases for headcount, tooling, or process changes.
  • Experience building processes and infrastructure where little existed before, making decisions about what to build, buy, standardize, and document.
  • Ability to deliver improvements quickly with imperfect information, explain prioritization and deferrals, and adjust based on results and feedback.

Responsibilities

  • Lead and develop the RevOps team, set priorities, coach team members, and build the case for investments in people and tools that address important company needs.
  • Partner with Finance and go-to-market leaders to turn growth targets into operating plans, including headcount and capacity modeling, segmentation, territories, and rules of engagement, connecting investment decisions to pipeline, productivity, and retention.
  • Improve revenue systems by working hands-on with Salesforce and connected tools, improving data structures, integrations, routing, onboarding, and automation, and establishing ownership and documentation.
  • Identify and deploy practical AI workflows for account research, data enrichment, pipeline inspection, and analysis; validate outputs and measure adoption and business impact.
  • Establish consistent revenue metric definitions, reconcile discrepancies across systems, and build reporting that helps teams understand performance and take action across the customer lifecycle.
  • Partner with leaders on pipeline inspection, forecasts, quarterly business reviews, and board reporting; surface risks, explain performance, and recommend actions.
  • Partner with Sales, Product, and Product Marketing on sales onboarding, ongoing training, and certifications; use field data to inform curriculum and measure effectiveness through time to first win, quota attainment, win rates, and average selling price.
  • Partner with Sales, Finance, and Legal on quota setting, compensation planning, quoting, approvals, and deal desk workflows, with clear handoffs for payouts and monthly close.
  • Improve handoffs, customer health reporting, and renewal and expansion tracking across sales, partnerships, and post-sales operations.

Desired Qualifications

  • Experience scaling a RevOps function at an early- or growth-stage SaaS company.
  • Familiarity with analytics, business intelligence, or data infrastructure products.
  • Experience with RevenueHero, LeanData, Everstage, Common Paper, or comparable routing, compensation, and contract management systems.
  • Experience supporting partnership programs or cloud marketplace sales.

About the Company

Omni Analytics

Unified analytics platform with governed metrics

Omni Analytics is a cloud-native business intelligence and data analytics platform that unifies fast ad-hoc exploration with governed metrics. It uses a shared semantic model as the single source of truth so end users can query data via SQL, spreadsheets, or natural language while data teams maintain consistent logic. The Meld engine enables schema-flexible joins and bidirectional modeling, with write-back to the central logic and AI features anchored to the semantic model for trusted insights. It integrates with Snowflake, BigQuery, and Databricks and targets mid-to-large enterprises, offering core BI and embedded analytics to align decisions across departments.

Company size
501-1,000
Company stage
Series C
Total funding
$218.4M
Headquarters
San Francisco, CA
Founded
2022

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