Software Engineer, Data Products

The simple task of buying software, services, or tools at work has become hopelessly complicated at even the most innovative companies in the world. Today, enterprises spend $120T+ per year globally (>30 times larger than annual consumer e-commerce spend) and rely on vendors more than ever before to run their businesses.

Our cofounders started Zip in 2020 to address this seemingly intractable problem with a purpose-built procurement platform that provides a simple, consumer-grade user experience. Within the last 4 years, Zip has created a new category and developed the leading solution in this $50B+ TAM space. Today, the world’s leading companies like OpenAI, Snowflake, Anthropic, Coinbase, and Prudential rely on Zip to manage billions of dollars in spend.

We have a world-class team coming from category-defining companies like Airbnb, Meta, Stripe, Salesforce, Apple, and Google. With a $2.2 billion valuation and $370 million in funding from Y Combinator, Tiger Global, BOND, DST Global, and CRV, we’re focused on developing cutting-edge technology, expanding into new global markets, and—above all–driving incredible value for our customers. Join us!

Your Role

We're seeking an experienced Software Engineer, Data Products to join our Foundations team. In this role, you will develop customer-facing products such as embedded analytics and warehouse sharing, build and drive adoption of self-serve tools for product analytics, and grow and advance our data ingestion and warehousing pipelines.

You Will

• Deliver data products that our customers can use, including data warehouse sharing and embedded analytics.

• Design business-critical data models that would be used to power business decisions. Ensure data quality, consistency, and accuracy.

• Design, build, and maintain scalable, robust and reliable data pipelines for internal stakeholders and customers.

• Manage our data platform infrastructure and scale it to meet our internal and external data product and analytics needs

• Help develop a mature product analytics capability within the company and empower data-driven decisions.

• Contribute to the broader Data Analytics community at Zip to influence tooling and standards to improve culture and productivity.

Qualifications

• 3+ years of industry software development experience within the Data domain

• Experience with data processing technologies and frameworks, such as Airflow, luigi, dbt etc.

• Experience with data warehousing technologies such as Snowflake, Clickhouse, Redshift etc.

• Ability to effectively communicate complex projects to non-technical stakeholders.

• Bachelor’s and/or Master’s degree, preferably in CS or engineering fields, or equivalent experience

Nice to Haves

• Experience building customer-facing data products

• Experience with analytics tools such as Superset and Looker.

• Experience with deploying data systems on AWS and Kubernetes.

The salary range for this role is $150,000 - $210,000. The salary for this position is determined based on a variety of job-related factors that may include location, relevant experience, education, or particular skills and expertise.

Perks & Benefits

At Zip, we’re committed to providing our employees with everything they need to do their best work.

• 📈 Start-up equity

• 🦷 Full health, vision & dental coverage

• 🍽️ Catered lunches & dinners for SF employees

• 🚍 Commuter benefit

• 🚠 Team building events & happy hours

• 🌴 Flexible PTO

• 💻 Apple equipment plus home office budget

• 💸 401k plan

We're looking to hire Zipsters and that means hiring people who take ownership, communicate openly, have an underdog mindset, and are excited to increase the pace of innovation for every business in the world. We encourage all candidates to apply even if your experience doesn't exactly match up to our job description. We are committed to building a diverse and inclusive workspace where everyone (regardless of age, religion, ethnicity, gender, sexual orientation, and more) feels like they belong. We look forward to hearing from you!