USAFounding Data Engineer
1 мес. назад
140k–200k USD / yearUSASenior
nextjstypescriptsupabasepostgresmongodbneo4jgit
Own the data pipeline end to end including scraping, ingestion, storing, cleaning, metrics, simple models, and dashboards for a B2B growth product company.
Требования
- 2-5 years of experience
- You must have built and operated production data flows end to end (collection/scraping, storage, cleaning, serving) at any scale
- You must have shipped customer-facing dashboards or analytics inside a product, not only internal BI
- You must be proficient in SQL and TypeScript or Python, and able to ship the last mile in our web stack (Nextjs)
- You must have applied simple models in production (classification, scoring, clustering) and know when not to use ML
- You must love talking to customers and translating their feedback to product updates
- You must write clean and maintainable code
- You must have taste for which metrics matter and judgment for right-sized architecture: you build on our existing stack and change it incrementally when there is real pain, not to chase best practices
Условия
- Read more at the compensation section in our handbook .
Другое
- We encourage you to read more about how we operate in our handbook .
- Our mission is to model B2B growth and build products that accelerate it.
- We reverse engineer B2B growth, starting with LinkedIn. We turn a company’s executive team into a coordinated content engine: content across the whole leadership team, engagers resolved to named accounts and roles, and engagement written back to the CRM. That means content spend stops being a branding line item and becomes provable pipeline.
- We serve over 30 high growth B2B companies from Series A to IPO’d, including MongoDB, Rippling, and Corgi Insurance. We started in June 2025 and launched out of Y Combinator’s F25 cohort . Our co-founders are Sky and Neo .
- Nextjs, Typescript, Supabase (Postgres), MongoDB, Neo4j,, Apify, Vercel, Git
- Our data stack is intentionally scrappy: scheduled jobs that scrape (via Apify), clean, and transform in-run. It works at our scale. You will evolve it as we grow, not replace it.
- You will be one of our first few hires at , which means you will have a huge responsibility and impact in our business. You will own our data pipeline end to end: scraping and ingestion, storing, cleaning, metrics, simple models, and dashboards in the product. Concretely, that means building metrics, monitoring content performance, and synthesizing marketing and network data into insights our customers see directly in the product.
- You will join customer calls, talk to them directly , and translate what you learn into the metrics and insights customers see immediately. You will also live on slack and provide customer support directly to our customers. This means if you are excited about owning the entire lifecycle of a data product, you should come work with us! You will see your effort being reflected in our revenue curve directly!