Copy of Full Stack Software Engineer

Audien Hearing; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Audien Hearing is seeking a Full Stack Software Engineer to craft data-powered web applications atop our CX and marketing data stack. You’ll own features end to end, from piping raw event data into our warehouse to shipping AI-driven user-facing products through React/Next.js deployed on Vercel.

If you love writing SQL as much as you love writing React, and you’re excited by turning messy behavioral and marketing data into tools people actually use, this is for you.

Qualifications

• Proficient in React, Next.js, and SQL with full-stack delivery experience.
• Experience building dashboards and data visualizations for product teams.
• Hands-on ETL pipelines experience from SaaS sources to a data warehouse.

Responsibilities

• Build and ship full-stack apps in React/Next.js on Vercel with data-backed UX.
• Develop and optimize SQL across CX and marketing data streams.
• Create ETL pipelines to land clean data in Snowflake and support reverse ETL flows.
• Incorporate LLM capabilities into product surfaces for conversational data access.

Skills

React

Next.js

SQL

Data viz

Dashboards

ETL pipelines

Snowflake

Reverse ETL

API development

Vercel

Tools

dbt

Fivetran

Looker

Hex

Mode

Job description

Audien Hearing is on a mission to make hearing affordable, accessible, and stigma-free for everyone. Proudly serving over 1 million customers, we lead the way in the over-the-counter (OTC) hearing aid industry by combining innovative technology with a direct-to-consumer model. Our team is passionate about building high-impact products that empower individuals to reconnect with the world around them—at a fraction of traditional hearing aid costs.

Full Stack Software Engineer

Data-Powered Web Applications

About the Role

We're hiring a full stack engineer to build data powered web applications on top of our CX and marketing data stack. This role sits at the intersection of data engineering, application development, and analytics. You'll own features end to end, from piping raw event data into our warehouse to shipping polished, AI-driven user-facing products.

If you love writing SQL as much as you love writing React, and you're excited by the idea of turning messy behavioral and marketing data into tools people actually use, this is for you.

What You'll Do

You’ll build and ship full stack applications in React and Next.js deployed on Vercel, backed by Snowflake and supporting data infrastructure. On any given week you might be architecting a new customer-facing dashboard, writing complex SQL across rich CX and marketing data streams, building ETL pipelines that land clean data in Snowflake, standing up reverse ETL flows that push modeled data back into operational systems, or wiring LLM capabilities into product surfaces so that non-technical teammates can get answers from data conversationally. Dashboarding work in Omni is also part of the mix, both building dashboards directly and building web experiences that embed or extend them.

What We’re Looking For

• Strong full stack experience with React, Next.js, and SQL. You can move fluidly between frontend components, API routes, and warehouse queries.
• Comfort deploying and operating on Vercel.
• Hands‑on experience with Snowflake (or a comparable cloud warehouse), including schema design, performance tuning, and writing non-trivial analytical SQL.
• Experience building ETL pipelines to ingest data from SaaS sources, event streams, and APIs into a warehouse.
• Experience with reverse ETL patterns to sync warehouse data back out to marketing, CX, or operational tools.
• Ability to design and build dashboards and data visualizations, ideally in Omni (or tools like Looker, Hex, Mode).
• A track record of shipping production web applications, not just prototypes.

Nice to Haves

• Experience integrating LLMs or agentic AI into production apps (OpenAI/Anthropic APIs, RAG, tool use, embeddings, vector search).
• Prior work on AI-powered internal tools, conversational analytics, or natural language to SQL interfaces.
• Familiarity with modern data stack tooling like dbt and Fivetran.
• Experience working with CX platforms such as Kustomer, Five9, and Salesforce.
• Experience with marketing platforms such as Klaviyo.