Company Overview:
Tydo helps eCommerce Brands optimize their business. We provide visibility into their unit economics, marketing channels and customer retention, allowing Brands to identify their best customers and measure campaign effectiveness. We are a data first company; we load it, transform it, and tell stories with. We’re backed by YCombinator and top-tier eCommerce and fintech founders.
Hard problems we're solving:
We are in the data business. We move it, store it, transform it, and visualize it.
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Analytics: we provide our customers with a full-service product for understanding their business. By aggregating transactional, marketing, and operations data and running (fast) calculations over them, we help them save money and decide where to invest it. Some key projects include scaling data infrastructure, calculating aggregate metrics offline, and new metric creation.
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Powerful dashboards: telling a story around why a business is growing (or hurting) is personal. We spend time building meaningful visualizations anchored in marketing best practices and sound accounting. We are currently working on surfacing cohort-driven metrics and white-labeled deployments.
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Machine Learning: we help Brands plan for the future using modern predictive techniques. Some modeling projects include item bundling, inventory forecasting, and sales projections.
Tech Stack:
- Infrastructure: AWS, Airflow, Terraform, Docker
- Back-end: Python, Django, GraphQL (graphene), pandas, numpy, pytest
- Front-end: JavaScript, React, NextJs, Apollo, TypeScript, Jest, Enzyme
Primary Responsibilities:
As an early engineer and hire, you will work closely with the technical co-founder and lead development across the stack. We’re looking for people that are comfortable with the following:
- Designing and implementing performant services.
- Contributing to asynchronous calculation and data processing architecture.
- Leading infrastructure/database development and monitoring.
- Testing everything.
What we're looking for:
- 4+ years of production Python experience experience.
- Interest in the eCommerce and/or consumer space.
- Data processing and/or database architecture experience.
- Desire to work in a startup and the hustle to move mountains. As our first hire, you will be instrumental in creating culture and owning foundational components of our system.
Bonus:
- Experience deploying and monitoring transactional-based ML models.
- Terraform proficiency.