Offer summary

Qualifications:

Senior-level proficiency in Python with experience in production data or analytics apps., Strong SQL skills, including window functions and query tuning; familiarity with Snowflake is a plus., Experience in data visualization using libraries like Matplotlib, Plotly, or Altair., Familiarity with CI/CD processes and containerization of applications..

Key responsibilities:

Design and build Streamlit apps to display core KPIs and automate analytics workflows.

Write performant SQL and dbt models to support app functionality.

Automate analytics pipelines to ensure timely insights delivery.

Monitor app performance and collaborate with the Head of Customer Success to improve user experience.

Job description

About Us

TakeUp, LLC is revolutionizing revenue optimization for hospitality with a daring approach to pricing. Using AI and machine learning, TakeUp empowers independent operators to unlock maximum revenue potential through pricing courageously—day in, day out. Seamlessly integrated with top Property Management Systems, our platform replaces traditional rate-setting constraints with data-driven confidence, delivering an impressive 10-15x ROI.

The Opportunity

Our customer-facing product is only half the story. Behind the scenes, we rely on a growing suite of internal tools that: Configure hundreds of property-specific levers in seconds. Diagnose performance nuances across thousands of daily forecasts. Arm revenue managers with human-in-the-loop dashboards for rapid rate reviews. Answer complex customer questions with on-demand analytics and compelling visuals. You'll own this tooling layer end-to-end—ideating, building, and shipping data-driven Streamlit apps backed by robust pipelines—while collaborating with platform engineers whenever your code touches shared services.

What You’ll Do

Design & build Streamlit apps that surface core KPIs, anomaly-detection workflows, and AI rate-review UIs.
Model the data—write clear, performant SQL and dbt models that power your apps and keep logic in one place.
Automate analytics pipelines in Prefect (or similar) so insights arrive before humans have to ask.
Instrument & monitor usage, latency, and data quality; tighten feedback loops with the Head of Customer Success.
Ship continuously—own CI/CD for your services (GitHub Actions + Docker/ECS), balancing speed with reliability.
Evangelize best practices in code quality, testing, and documentation across the internal-tools stack What We're Looking For

What We’re Looking For

Senior-level Python: You've shipped production data or analytics apps (Flask / FastAPI / Streamlit / Dash / Panel).
SQL mastery: Window functions, CTEs, and query tuning are second nature; Snowflake experience is a plus.
Data-viz chops: Matplotlib / Plotly / Altair—or your library of choice—to turn raw numbers into crisp stories.
CI/CD familiarity: Comfortable containerizing apps and automating deploys; infra as code is a bonus.
Startup mentality: You take broad goals, break them into sprints, and bias toward action.
Collaborative spirit: You love whiteboarding with revenue managers as much as pairing with platform devs.
Bonus points for understanding ML workflows (feature stores, model outputs) and translating them to non-technical users.

Why Join Us

Immediate impact & autonomy: Your dashboards will be used daily by our revenue strategists and CS team.
True ownership: Define the internal-tools roadmap and set the technical bar.
Innovation runway: Work at the intersection of hospitality, analytics, and human-in-the-loop AI.
Learning culture: Progress over perfection—experimentation is encouraged, and failures turn into "next time" docs.

EQUAL OPPORTUNITY EMPLOYER
1848 Ventures celebrates diversity and is committed to inclusion. All qualified applicants receive consideration for employment without regard to race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, or status as a protected veteran.

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