Revenue Growth Specialist

We're on a mission to empower revenue growth for businesses. Our platform helps sales teams prepare for the game of revenue generation.

The top-line metric is revenue, and we serve as the practice engine to get ready for the game. Renowned companies rely on us across their ecosystems.

Our customers have achieved significant gains in sales productivity, upsell, and time-to-market.

We're backed by esteemed investors/advisors like John Chambers, Adam Grant, Stewart Butterfield, Marty Nestbitt, Claire Hughes Johnson, and Mark Templeton.

We're seeking a Product Engineer/Analytics Engineer who thrives at the intersection of data engineering, product analytics, and commercial impact.

This role plays a critical part in enabling data-driven decisions across the business, turning data into insights that influence product direction, customer success, and revenue growth.

You will build and maintain data pipelines, support A/B testing infrastructure, uncover insights across customer journeys, and ensure our data ecosystem is robust and actionable.

• Design, develop, and maintain scalable ETL pipelines using Python to support data ingestion, transformation, and integration from multiple sources.
• Develop and maintain A/B testing frameworks, track key metrics, and analyze experiment results to inform product strategies.
• Work closely with the product team to develop and drive product strategy and new feature development.
• Collaborate with cross-functional teams to support commercial strategies with data solutions.
• Analyze customer and operational data to identify trends, patterns, and opportunities that support revenue growth and improve customer engagement.
• Develop and maintain dashboards and reports using SQL and data visualization tools to present insights to stakeholders.
• Write and optimize complex SQL queries for data analysis and support decision-making processes.
• Ensure data integrity and quality through regular audits, validations, and monitoring.
• Assist in the development of metrics and KPIs to measure the success of business initiatives.
• Partner with commercial teams to analyze performance data and support customer-facing initiatives.
• Data analysis and curation to improve AI models

• Bachelor's degree in Computer Science, Data Engineering, Statistics, Mathematics, or a related field.
• 5+ years of experience in data engineering, ETL development, or a related role.
• Strong proficiency in Python, with experience in building ETL workflows and data processing scripts.
• Advanced SQL skills, including query optimization and database modeling.
• Proficiency with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Familiarity with A/B testing methodologies and ability to analyze experiment results.
• Solid understanding of Excel, including advanced functions and pivot tables.
• Familiarity with cloud platforms and data storage solutions (e.g., AWS, GCP, Azure) is a plus.
• Strong analytical and problem-solving skills with a keen attention to detail.
• Excellent communication skills to present data-driven insights to non-technical stakeholders.
• Ability to work collaboratively in a team-oriented environment.
• A proactive mindset and eagerness to learn new tools and technologies.
• Comfortable multitasking across various roles and working independently.

• Participate in an innovation-driven, high-growth company focused on improving people's lives.
• Competitive compensation package with equity.
• Flexible location and work-from-home options.
• Medical, vision, and dental coverage.
• Flexible vacation and PTO policies.
• Supportive, highly collaborative team environment led by a female founder/CEO.