About Nectir
Nectir is the secure AI infrastructure purpose-built for schools. Nectir AI provides 24/7 personalized learning support grounded in course content, without compromising trust, outcomes, or academic integrity. Nectir AI can be integrated into existing Learning Management Systems and is fully FERPA- and SOC 2-compliant. Trusted by 100,000 students across 100+ campuses, Nectir is backed by independent, peer-reviewed research demonstrating a 7.5% campuswide GPA increase. Nectir has raised $18.5M from leading investors including Rethink Impact, Long Journey Ventures, and Entrada Ventures.
About the role
We know a lot about how students use Nectir. We know much less about our own business: which campaigns influence a deal, how long deals take to close, which institutions are at risk of churning, and what each customer costs us to serve. This role exists to fix that.
You'll own all of Nectir's internal-facing data, from source system to dashboard. That covers sales, marketing, customer success, finance, operations, and engineering activity. You'll build and run the pipelines, keep the data trustworthy, and get it in front of the teams who need it. For the first six months the priority is sales and marketing.
The foundation is in place. Our BigQuery warehouse and dbt project are in production, we use Airbyte for integrations where it fits, and our internal dashboards are a custom Python application rather than an off-the-shelf BI tool. You'll extend that stack, not design it from scratch.
You'll report to the Director of Analytics and work day to day with sales, marketing, customer success, finance, and operations.
What you'll do
Build and operate the pipelines
Build and own a bidirectional HubSpot ↔ BigQuery integration so the CRM and the warehouse agree.
Build pipelines from the rest of the stack: Gong, LinkedIn, GCP and Azure billing, and engineering activity. Use Airbyte where it works and write custom pipelines against REST APIs and direct database connections where it doesn't. Model the results in dbt.
Operate them: monitoring, alerting, backfills, deduplication, and schema drift. Jobs run on GitHub Actions against incremental dbt models.
Own data quality and the data model
Define how sales and marketing data is structured: accounts and contacts, segmentation, attribution, activity, and product usage, down to field definitions and how each is captured. This includes the split between our two buying motions, professor-led adoption and instructional-designer-led adoption.
Enforce it with automated checks that run on a schedule, and hold the standard when someone asks for an exception.
Reconcile before you publish. A silently wrong number is worse than a missing one.
Work with the teams and deliver t