Senior Software Engineer, AI & Data

Reposted One Month Ago
Chicago, IL, USA
Hybrid
150K-200K Annually
Senior level
eCommerce • Software
Renterra powers every side of independent rental businesses.
The Role
Design and build Renterra's data and AI foundation: event architecture, data pipelines, analytical systems, and ClickHouse-based queries. Create AI agents and intelligent workflows that use company data to solve customer problems. Ensure production reliability, observability, security, and measurement via evaluations and feedback loops. Partner across product, engineering, leadership, and customers; report to the CTO.
Summary Generated by Built In

Renterra is a Series A–backed SaaS company modernizing the $100B+ heavy equipment rental industry. We’ve built an end-to-end platform that helps rental businesses run smarter, spanning operations, payments, marketing, accounting integrations, and more.

Our platform contains a growing body of operational and financial data that can do more than power reports. We believe it can help rental businesses identify problems, make better decisions, and truly help them thrive!

We’re looking for a senior engineer to build the data systems that make this possible, then use those systems to create AI agents and intelligent product experiences that solve real customer problems.

This is a hybrid role based in Chicago, with regular in-office collaboration and flexibility for focused remote work.

How we work

We value velocity and efficiency through fast iteration cycles. Our lean team doesn’t sit on ceremony. Build times, deployments, and meetings are kept tight so we can deliver effective solutions to our customers.

We expect engineers to own outcomes, make pragmatic architectural decisions, and stay close to the people using what they build.

What you’ll do

Build our data and AI foundation: Design how operational and financial data is captured, structured, processed, stored, and queried across Renterra. This includes event architecture, data pipelines, and analytical systems such as ClickHouse.

Create AI-powered products: Build agents and intelligent workflows that use Renterra’s data to identify problems, answer questions, support decisions, and automate work for our customers.

Own production quality: Make data and AI systems reliable, observable, secure, and cost-effective. Design for failure recovery, data quality, permissions, model uncertainty, and appropriate human review.

Measure what works: Develop evaluations and feedback loops for accuracy, reliability, latency, cost, and customer impact. Use what you learn to improve both the underlying data systems and the product experience.

Work across the company: Partner with leadership, product, engineering, support, and customers to find valuable problems and turn them into shipped solutions.

Make pragmatic technical decisions: Choose the right approach for each problem, whether that is a deterministic workflow, analytical query, machine-learning model, LLM, vendor, or a combination of them.

Report directly to the CTO.

What we’re looking for

You’re an AI-forward builder who wants to own the full path from raw data to a customer-facing product that solves a real problem.

You’re a high-caliber software engineer at the Senior, Staff, or Principal level. You’ve built and operated production systems and bring strong product and architectural judgment.

You have deep experience with data architecture, SQL, and data modeling, including analytical databases such as ClickHouse. You understand how data structure and access patterns affect performance, maintainability, and cost.

You understand distributed and event-driven systems, including ordering, retries, deduplication, replay, schema evolution, and failure recovery.

You’ve shipped AI- or ML-powered product features and understand the full system around the model: data, retrieval, tool use, evaluation, observability, permissions, and fallbacks.


Useful additional experience
  • Building agentic systems that call tools or take actions in production

  • Retrieval, embeddings, semantic search, or hybrid search

  • Evaluation frameworks for AI agents and LLM-powered features

  • Classical machine learning, forecasting, anomaly detection, or optimization

  • Change data capture and database replication

  • Data governance, permissions, privacy, and auditability

  • Financial, accounting, logistics, or other operational business data

  • Customer-facing analytics and reporting products


Why Renterra
  • Competitive compensation and equity

  • Health, dental, and vision insurance

  • Flexible PTO

  • A highly visible, high-impact role

  • Direct influence over Renterra’s AI and data strategy

  • The opportunity to build the technical foundation and the customer-facing products that run on top of it

This is a unique opportunity to define how data and AI work across a growing SaaS platform. You’ll build the foundation, turn it into products, and work directly with customers to see whether those products solve meaningful problems.

We encourage individuals of all backgrounds and experiences to apply. We believe a diverse team builds better products and makes better decisions.

Renterra is an Equal Opportunity Employer.

Skills Required

  • Senior-level software engineering experience and production system ownership
  • Experience building and operating production data systems and AI features
  • Deep experience with data architecture, SQL, and data modeling
  • Experience with analytical databases such as ClickHouse
  • Understanding of distributed and event-driven systems (ordering, retries, deduplication, replay, schema evolution, failure recovery)
  • Experience shipping AI- or ML-powered product features and understanding full model system (data, retrieval, tool use, evaluation, observability, permissions, fallbacks)
  • Strong product and architectural judgment; ability to own outcomes and make pragmatic technical decisions
  • Design and implement event architecture, data pipelines, and analytical systems
  • Building agentic systems that call tools or take actions in production
  • Retrieval, embeddings, semantic search, or hybrid search experience
  • Experience with evaluation frameworks for AI agents and LLM-powered features
  • Classical ML experience (forecasting, anomaly detection, optimization)
  • Experience with Kafka, Redpanda, Flink, Spark, or similar event-processing systems
  • Change data capture and database replication experience
  • Data governance, permissions, privacy, and auditability experience
  • Domain knowledge in financial, accounting, logistics, or operational business data
  • Experience building customer-facing analytics and reporting products

Renterra Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Renterra and has not been reviewed or approved by Renterra.

  • Healthcare Strength Health, dental, and vision coverage are consistently listed across the careers page and job postings as core benefits. This positions medical coverage as a clear pillar of the package for a startup.
  • Equity Value & Accessibility Equity options/stock options are repeatedly paired with competitive salaries in public postings. This signals accessible ownership opportunities as part of total compensation.
  • Leave & Time Off Breadth Generous or flexible PTO and sick leave are called out, though specific day counts are not published. This suggests broad time-off availability despite limited public detail.

Renterra Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Chicago, IL
29 Employees
Year Founded: 2022

What We Do

Renterra is a venture-backed software company, building the next generation of software for heavy equipment rental companies.

Gallery

Gallery

Similar Jobs

Gradient AI Logo Gradient AI

Vice President Of Sales

Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Easy Apply
Remote or Hybrid
USA
130 Employees
500K-500K Annually

Zeta Global Logo Zeta Global

Senior Analyst, Analytics & Insights - Programmatic

AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
Easy Apply
Remote or Hybrid
United States
2429 Employees
90K-110K Annually

Morningstar Logo Morningstar

Head of Architecture, Direct Platform

Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Hybrid
Chicago, IL, USA
11500 Employees
263K-404K Annually

Morningstar Logo Morningstar

Head of Data Operations, Direct Platform

Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Hybrid
Chicago, IL, USA
11500 Employees
311K-477K Annually

Similar Companies Hiring

Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees
Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Los Angeles, California
60 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
30 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account