Top Tech Jobs & Startup Jobs

As a Sales Operations Specialist, you'll support sellers by managing quotes in Conga, troubleshooting Salesforce issues, ensuring data accuracy, and onboarding new sellers to systems, contributing to revenue operations.

Responsible for improving revenue processes, managing cross-functional stakeholder relationships, and implementing systems changes in a B2B SaaS environment. Requires extensive experience in Revenue Operations and expertise in Salesforce CRM.

The Solution Product Manager, Commercial will drive product solutions for AEC and Solar, ensuring alignment with customer needs and company strategy, while monitoring competitors and product performance.

The Value Consulting Manager will drive value discovery and realization for customers, quantifying business impact through ROI models and leading executive-level discussions. This role involves collaborating with sales and customer success to maximize product value and expand opportunities in the market.

The Solutions Product Manager for Government develops product solutions, understands customer needs, and optimizes offerings, ensuring measurable impact and company growth.

The Enterprise Technical Support Engineer provides high-touch support for enterprise customers, focusing on API integrations and custom solutions, troubleshooting issues, and collaborating across teams to optimize customer technical environments.

The Revenue Data & Insights Analyst role involves building and optimizing sales reporting, managing pipeline processes, providing actionable insights, and maintaining data quality to support sales strategy.

The Senior Commercial Analyst connects data-driven insights with commercial decision-making, improving revenue performance visibility, supporting budgeting and forecasting, and collaborating cross-functionally to enhance operational efficiency and insights.

The Enterprise Account Executive will drive growth through new customer acquisition and expand existing accounts in the AECO vertical, using effective sales methodologies and strategies.

The Machine Learning Engineer will develop and maintain ML pipelines, collaborate with Data Scientists, and enhance existing ML infrastructure for US-specific use cases.