Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. The result: measurable time savings, smarter top- and bottom-line decisions, and the speed to scale.

Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more.

We’ve achieved best-in-class growth and recently raised a $15M Series A led by Footwork Ventures and Y Combinator to accelerate our momentum.

As a Staff AI / ML Engineer , you will define and build the core AI systems behind the platform—from LLM-powered document understanding to predictive models that help brands make better decisions.

This is a foundational role working directly with the CEO and CTO to shape our long-term AI strategy and architecture.

Location: New York, NY (Relocation supported)

What You'll Do

• Own the full AI/ML lifecycle: research → prototyping → production deployment → monitoring
• Design and build systems that extract structured data from complex financial documents
• Develop agentic systems that retrieve and reason over data across fragmented enterprise systems
• Build predictive models to forecast brand sales and financial performance
• Detect anomalies in retail and sales data
• Develop recommendation systems to help brands optimize retailer promotions
• Partner with product and engineering to integrate AI capabilities into the core platform

Example Problems

• AI-powered document ingestion for invoices, deductions, and retailer reports
• Agent workflows that retrieve data from legacy systems
• Sales forecasting models for large CPG brands
• Anomaly detection across retailer performance data
• Promotion optimization models

What We're Looking For

Required

• 5+ years of applied AI / ML experience
• Strong background in ML systems design and production deployment
• Experience working with LLMs and NLP systems
• Strong product mindset—ability to translate AI capabilities into real-world applications

Nice to Have

• Experience fine-tuning LLMs (Llama, GPT, etc.)
• Experience building agentic workflows or retrieval systems
• Startup experience and comfort operating in ambiguous environments

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Interview Process

1. Intro with Recruiting (20 mins) - Google Meet
2. Technical Screen (60 mins) - Google Meet
3. On-site in our Chelsea Office (~5 hours)
   1. Coding (60 mins)
   2. Project (90 mins)
   3. ML Systems Design (60 minutes)
   4. Lunch

Not Local? We will fly you out.