You’ll help implement and bring to market core features on Zing Data’s platform for GenAI business intelligence that is collaborative, easy, and works on iOS, Android and the web. You’ll be working on interesting features on our query intelligence, distribution engine that help our users get near instant response times. You'll work with the latest GenAI models like OpenAI, Google Gemini, Meta's LLAMA and Anthropic to build amazing user experiences that make complex data analysis as easy as asking a question.

You’ll get competitive compensation, sweet offsites, company-provided health insurance, mobile-phone reimbursement, and a culture of learning and growth.

This position is primarily aimed at candidates residing in the Boston, MA, USA or San Francisco, CA area but we are open to exceptional candidates from the US, Canada, or Mexico.

QUALIFICATIONS:

At least 3 years of experience as a software engineer
Fluent in computer science fundamentals and architecture design patterns
Familiarity with React and Python
Familiarity with JVM languages - Java, Scala, scripting languages - Node.js, Typescript
Experience implementing and working with message queue systems (Redis, Kafka, MQTT)
Experience with relational transactional databases (postgres, mysql), data warehouses (Google BigQuery, Snowflake, Databricks, Redshift, Clickhouse) and other analytical systems
Some expectation of on-call platform support

ABOUT ZING:

Zing Data is a MIT-founded, venture-backed pioneer making data easily accessible, collaborative, and usable anywhere. Trusted by startups and Fortune 1000 companies, Zing brings unprecedented simplicity to querying, visualizing, and aligning your team around data-driven insights.

Zing is the first mobile app that lets you ask questions from data (not just view existing dashboards), collaborate with Google-docs like @mentions and shared questions, and empower everybody in your organization to make data-driven decisions whether they’re in the field or the boardroom.

Free to use for up to three people, Zing makes complex questions just a few taps on your phone - much like Robinhood transformed stock trading with simple, mobile-first tools.

Our founding team holds multiple machine learning patents and brings experience from Facebook, LinkedIn, Rakuten, and Microsoft. We founded and sold multiple companies before building Zing. We’re driven, ambitious, thoughtful, curious, and eager to build a world where great decisions are informed by data for everybody at a company – no statistics degree, desktop, or big budget required.

Zing is inclusive and we welcome great people regardless of race, religion, veteran status, age, disability, gender identification, or sexual orientation.

Zing Data

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