Instrumentl

Data Engineer

• Design and scale our data platform including pipelines, models, and orchestration frameworks
• Develop scalable ETL/ELT pipelines for ingesting data from APIs, databases, and event streams
• Define and implement systems for data ingestion, storage, processing, and transformation
• Build and manage workflow orchestration using tools like Airflow
• Build semantic layer as well as dashboards
• Establish best practices for data modeling, testing, and quality
• Partner with stakeholders to shape data requirements and enable BI and analytics use cases
• Optimize systems for performance, scalability, and cost from day one and apply software engineering principles (testing, CI/CD, modular design) to data infrastructure

Senior Data Engineer

Account Manager

• Become an expert on grants and institutional fundraising — and on how nonprofits manage awards post-grant
• Own and grow a book of existing customers by identifying upsell and cross-sell opportunities
• Proactively outbound into strategic accounts using creative, personalized tactics
• Lead customers through consultative discovery to match them with higher-tier solutions that fit their evolving workflows
• Serve as the voice of the customer internally, feeding insights back to Product and CS to improve the platform
• Experiment with new expansion playbooks and outreach sequences to accelerate net revenue retention

Revenue Operations

• Own the technical infrastructure that powers our revenue engine
• Architect our CRM data model and integrate new data sources
• Lead the technical implementation of AI tools across our sales processes
• Work alongside the Revenue Operations Manager
• Maintain our CRM data model in HubSpot
• Build and maintain data pipelines that connect external sources into our CRM
• Establish data governance standards and ensure data quality across all revenue systems
• Create a "single source of truth" for revenue data that sales, marketing, and CS can trust
• Evaluate, implement, and optimize AI tools that enhance sales productivity
• Build automated workflows that reduce manual work for reps
• Build and maintain dashboards and reports that provide visibility into pipeline health, conversion rates, and GTM performance
• Own outside integrations between our revenue tools

Revenue Systems Manager

• Own the systems that discover, acquire, and transform unstructured content into clean, structured, queryable data
• Build automated content discovery from the web
• Design LLM-powered extraction pipelines
• Build evaluation harnesses and optimize for cost at scale
• Maintain data quality and serve downstream consumers

Senior Data Engineer

Account Manager

Revenue Systems Manager

AI Data Engineer