Software Engineer II, Platform And Data

About the role

About the role

LyraConnect is an AI-native marketing decision platform, purpose built for CPG brands and the retail ecosystem. Our platform runs proprietary demand simulations, targeted and proprietary prompts executed daily across the major AI platforms and AI Assistants, with iterations spanning the occasions and need states that shape a category, revealing how AI responds to shopper need states, which products it recommends, and where a brand is absent from the consideration set.

That means we run a lot of prompts against a lot of models and we do the work to turn messy generative output into defensible numbers. This role sits across both halves of that: the backend platform and the pipelines that feed it.

You'll own things end to end, ship to production regularly, and have meaningful input at every level of the stack.

What you'll work on

Building and maintaining the LyraConnect Platform

Collection pipelines that query multiple LLM providers at volume, handle rate limits and failures gracefully, and keep results reproducible

Parsing and normalizing unstructured model responses into structured brand, product, and sentiment records

Instrumentation and monitoring so we find out a collection job broke before a client does

Champion our values. Lead in a way that reflects LyraConnect's values framework, I3C3: Imagine, Integrity, Initiative, Collaborate, Communicate, Craft.

Qualifications

2–5 years of professional experience building web applications, or a CS degree or equivalent coursework, or substantial personal/open-source work you can walk us through

2+ years with at least one of: Python, JavaScript/TypeScript, or a comparable language

Strong SQL and a solid understanding of relational database design

Comfortable on Unix-based systems — you can read logs, trace a process, and debug a server without a GUI

Strong Git fundamentals

Nice to have but not required

BS/BA in Computer Science or a related engineering field

Experience building or maintaining ETL/ELT pipelines and workflow orchestration (Airflow, Dagster, Prefect, or similar)

Django or FastAPI service experience

Containerized deployments and functional knowledge of Kubernetes

Working knowledge of columnar/analytical databases and dbt-style transformation tooling

Experience working with LLM APIs — prompt structuring, output parsing, cost and latency management

Applied statistics background, or enough of one to be dangerous

Non-relational databases, caching layers, queueing systems

You will not have all of these. Apply anyway.

How we work

No micromanagement. We hire people we trust to do the right thing and then get out of the way.

Learn without permission. Try new approaches. Pick up the tool you need. Nobody has to sign off on you finding a better way to do something.

The details matter. Engineering compounds. Small mistakes in a data pipeline become wrong numbers in a client deck three weeks later.

Excellence and pragmatism, but not too much of either. Both taken to extremes are failure modes. Knowing when to polish and when to ship is the difference between teams that win and teams that lose.

Talk to clients. You should be able to sit in front of a CPG analyst and explain how something works without a translator.

LyraConnect, Inc. is an equal opportunity employer.