Chief Software Engineer

Job highlights
Identified by Google from the original job post
Qualifications
5+ years of engineering leadership experience in AI/ML, big data, or enterprise SaaS companies
Proven experience scaling engineering teams in a high-growth, product-driven environment
Deep expertise in AI, data engineering, cloud architecture (AWS, GCP, Azure), and distributed systems
Hands-on experience in building and deploying scalable AI/ML-driven platforms at enterprise scale
Strong understanding of data pipelines, real-time analytics, and high-performance computing
Track record of leading engineering teams through hyper-growth phases, from startup to enterprise scale
Passion for AI and the future of machine learning, automation, and data-driven decision-making
Benefits
???? Competitive compensation, equity, and career growth opportunities
Responsibilities
As the Chief Software Engineer, you will be a critical leader in scaling our technology organization and enhancing the capabilities of our AI-driven data platform
You will work alongside executive leadership, data scientists, and engineering teams to ensure our infrastructure, architecture, and product roadmap support the company’s aggressive growth trajectory
This role is ideal for an engineering leader who thrives in fast-paced, high-growth environments and has experience scaling enterprise-grade AI/data products
You will define and execute technical strategies, optimize system performance, and ensure our AI models continuously evolve with cutting-edge advancements
Technology Leadership: Define and execute the engineering strategy to support rapid scaling, ensuring reliability, performance, and security
AI/ML Innovation: Stay at the forefront of AI advancements, integrating emerging technologies into our product to maintain competitive differentiation
Product-First Engineering: Drive a scalable, product-focused approach, ensuring that engineering decisions align with business objectives and customer success
Scalability & Architecture: Build and optimize our AI/data platform’s architecture to support a 10x scale while maintaining performance and cost efficiency
Team Growth & Development: Recruit, mentor, and lead top-tier engineering talent to build a world-class AI/data engineering team
Cross-Functional Collaboration: Work closely with Product, Data Science, and Leadership teams to translate business goals into innovative technical solutions
Performance & Optimization: Continuously improve system performance, data pipelines, and AI models to maximize business impact
Strategic Vision: Align engineering efforts with the company’s high-growth roadmap and long-term vision for AI-powered private equity solutions
Job description
Chief Engineer - Chicago

???? Be a key leader in a company scaling from +-figures to new heights.

???? Work on cutting-edge AI/data solutions that drive real financial impact.

⚡ Lead and shape a high-performance engineering team.

???? Competitive compensation, equity, and career growth opportunities.

As the Chief Software Engineer, you will be a critical leader in scaling our technology organization and enhancing the capabilities of our AI-driven data platform. You will work alongside executive leadership, data scientists, and engineering teams to ensure our infrastructure, architecture, and product roadmap support the company’s aggressive growth trajectory.

This role is ideal for an engineering leader who thrives in fast-paced, high-growth environments and has experience scaling enterprise-grade AI/data products. You will define and execute technical strategies, optimize system performance, and ensure our AI models continuously evolve with cutting-edge advancements.

Key Responsibilities
• Technology Leadership: Define and execute the engineering strategy to support rapid scaling, ensuring reliability, performance, and security.
• AI/ML Innovation: Stay at the forefront of AI advancements, integrating emerging technologies into our product to maintain competitive differentiation.
• Product-First Engineering: Drive a scalable, product-focused approach, ensuring that engineering decisions align with business objectives and customer success.
• Scalability & Architecture: Build and optimize our AI/data platform’s architecture to support a 10x scale while maintaining performance and cost efficiency.
• Team Growth & Development: Recruit, mentor, and lead top-tier engineering talent to build a world-class AI/data engineering team.
• Cross-Functional Collaboration: Work closely with Product, Data Science, and Leadership teams to translate business goals into innovative technical solutions.
• Performance & Optimization: Continuously improve system performance, data pipelines, and AI models to maximize business impact.
• Strategic Vision: Align engineering efforts with the company’s high-growth roadmap and long-term vision for AI-powered private equity solutions.

What We’re Looking For
• 5+ years of engineering leadership experience in AI/ML, big data, or enterprise SaaS companies.
• Proven experience scaling engineering teams in a high-growth, product-driven environment.
• Deep expertise in AI, data engineering, cloud architecture (AWS, GCP, Azure), and distributed systems.
• Hands-on experience in building and deploying scalable AI/ML-driven platforms at enterprise scale.
• Strong understanding of data pipelines, real-time analytics, and high-performance computing.
• Track record of leading engineering teams through hyper-growth phases, from startup to enterprise scale.
• Passion for AI and the future of machine learning, automation, and data-driven decision-making.
• Experience with private equity, finance, or performance-driven AI solutions is a plus.