About Highnote 

Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an all in one card issuer processor and program management platform. We give digital-first organizations the flexibility to easily issue and process payment cards that accelerate business growth and profitability. 

We’ve raised $104M+ and grown our team to 100+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 22+ US states. 

Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.

Job Description

The Data Platform Team is part of the Data Organization and is responsible for designing and building modern scalable, secure and reliable data platforms and data pipelines. With the data platforms, we will be able to serve the product/customer data needs, improve operational efficiency and increase revenue.

What you’ll be doing

  • Building secure and scalable data platforms that support our product/customer needs and power data driven decision making. 
  • Writing high quality and robustly tested code, mostly in Java and Python
  • Understanding business/data needs and growth to build the right solutions
  • Documenting your work to support our rapidly-scaling company
  • Interfacing with internal business stakeholders and technology partners to support day to day operations and create new data products

What we are looking for

  • 6+ years experience building high volume and low latency data platform and data pipelines using distributed event technology, e.g. Pubsub, Kafka, Kinesis etc, and data storage system, e.g. Spanner/Postgres, BigQuery, Cassandra, data lakes etc
  • Able to model and design modern data structures in SQL/NoSQL databases
  • A history of writing scalable, performant and maintainable code. 
  • Experience with Java >= 11 or Python >= 3.7

Bonus skills

  • Experience with cloud platforms such as GCP or AWS
  • Docker and Kubernetes
  • Able to model and design modern data structured in data lakes and data warehouses
  • A background in the fin-tech space

Why Highnote?

  • We’re an early stage startup that allows for our employees to truly build from the ground up and impact every layer of our organization. 
  • We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees. 
  • We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity. 
  • We’re backed by Oak HC/FT, Costanoa Ventures, and XYZ Ventures. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).

Highnote benefits

  • Flexible time off (unlimited PTO)
  • 100% healthcare coverage + 75% coverage for dependents
  • 401k program
  • Up to 16 weeks off for Maternity leave + up to 6 weeks of Paternity leave
  • Equity in Highnote
  • Stipend to build out your home office; internet reimbursement

Please note that positions located in San Francisco are hybrid and include core working days of Tuesday, Wednesday, Thursday in office. 

Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).



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