Sales Ops Manager

Own revenue forecasting and MRR modeling for New Business, Expansion, and Churn segments

Build scenario models for hiring plans, capacity planning, and investment decisions

Analyze customer sentiment data to identify pain points and opportunities

Create presentations combining quantitative findings with qualitative insights

Own customer reporting and analysis

Build and maintain standardized customer datasets

Lead automation initiatives for the accounting tech stack

Manage NetSuite configurations and advanced functionalities

Monitor, track, and move parts for timely delivery

Promote workflow consistency

Define success metrics for marketing systems

Design measurement frameworks for always-on marketing systems

Design and optimize ETL/ELT pipelines

Build and maintain data transformation infrastructure

Build complex financial models

Represent UM in financial workstreams

Analyze data for trends and insights

Design dashboards using Looker/LookML

Lead and build Battle Road's data platform

Architect AWS-based data solutions

Architect multi-cloud systems for Scale AI's platform.

Collaborate with platform, product teams, and customers to scale infra.

Design and implement DB-driven workflows

Translate designs into production systems

Receive and analyze support requests

Log case details in ticketing system

Translate complex data into actionable insights for claims and executives

Define AI Success Events aligning analytics with product goals

Collaborate with experts on coverage, pricing, and eligibility.

Translate data insights into actionable plans.

Identify and establish partnerships with authorized installers

Negotiate and close partnership deals with installation partners

Lead financial analysis projects in healthcare industry

Develop and maintain financial models for UM/affordability impact

Own revenue forecasting and modeling

Collaborate with cross-functional teams

Own customer reporting and analysis

Build and maintain standardized customer datasets and reporting frameworks

Own the long-term vision for the accounting tech stack

Identify bottlenecks in the monthly close

Analyze customer sentiment data

Create presentations combining quantitative and qualitative insights

Support business teams with their operational needs

Define solutions with the Data Engineering team

Architect high-scale data infrastructure

Build ELT/ETL workflows for data lakes and warehouses

Architect, design, and maintain scalable data pipelines

Implement cloud architecture with security and governance

Build backend systems for observability data transformation

Develop features for Portfolio Insights and product analytics

Lead accounting tech stack vision

Implement automated solutions

Analyzing customer sentiment data to identify pain points and opportunities

Creating presentations combining quantitative findings with qualitative insights

Own customer reporting and analysis

Build and optimize SQL queries

Review and identify valid and fraudulent transactions

Analyze fraud trends and transactions

Own revenue forecasting and build scenario models

Collaborate with GTM leadership to define metrics

Define multi-quarter product vision aligned to Brex priorities

Lead cross-functional programs spanning teams, systems, and stakeholders

Define and own product vision and strategy

Identify high-leverage opportunities for durable advantage

Drive growth product investments and enhance GTM metrics

Define a multi-quarter Growth strategy with cross-functional teams

Define and own a multi-quarter product vision aligned to Brex priorities.

Identify high-leverage opportunities that create durable advantage.

Own customer reporting and analysis

Build and optimize SQL queries

Review and analyze orders to detect fraudulent transactions

Maintain fraud detection processes and strategies

Forecast revenue across different business segments

Collaborate with various teams for financial reporting improvements

Analyze customer sentiment data to identify pain points and opportunities

Create presentations combining quantitative and qualitative insights

Lead accounting tech stack vision and automation implementation.

Manage NetSuite configurations, search, records, and ARM.

Lead the transformation of accounting systems towards automation

Spearhead NetSuite configurations and integrations

Analyze customer sentiment data to identify pain points & opportunities

Pull & analyze internal data to impact KPIs

Develop and maintain backend systems for Foodsmart web app

Collaborate with front-end engineers for API design and implementation

Review and analyze transactions for fraud detection

Maintain fraud rules and processes

Own customer reporting and analysis

Optimize SQL queries in Snowflake

Own revenue forecasting and modeling across various business segments.

Collaborate with GTM leadership to define ROI metrics and profitability targets.

Own customer reporting and analysis

Optimize SQL queries for recurring reporting and ad hoc analysis

Develop and maintain backend systems for Foodsmart web application

Collaborate with front-end engineers

Own the vision for the accounting tech stack

Identify and address bottlenecks in the monthly close

Identifying fraudulent transactions in e-commerce orders

Analyzing fraud trends and chargebacks

Analyze customer sentiment data to identify pain points and opportunities

Create presentations that combine quantitative findings with qualitative insights