Customer-Facing AI Engineer, Retail Intelligence

Simbe Robotics; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity compensation

Medical benefits

Retirement benefits

Job summary

Simbe Robotics is seeking a Customer Facing Applied AI Engineer to turn our computer vision and data platform into customer value across new and existing retail deployments. This role sits at the intersection of Computer Vision, Data, Product, Customer Success, and Field Operations.

You will configure, tune, validate, and troubleshoot Simbe's AI pipelines for customer environments, helping retailers get accurate and actionable insights from Tally as quickly and reliably as possible.

Qualifications

• 3+ years in software engineering, applied machine learning, data engineering, computer vision operations, customer solutions engineering, or a related technical role.
• Strong Python skills and comfort working with data using pandas, notebooks, SQL, spreadsheets, or similar tools.
• Demonstrated experience using AI-assisted coding and automation tools to accelerate technical investigation, data analysis, debugging, scripting, and customer-facing engineering workflows.
• Ability to troubleshoot complex technical issues across data pipelines, configurations, model outputs, logs, and customer reports.
• Comfort with Linux, command line workflows, Git, and production debugging.

Responsibilities

• Lead customer specific AI configuration. Configure and tune Simbe's computer vision and data pipelines for new customers, new store formats, and expanded robot deployments.
• Improve customer accuracy. Investigate and resolve issues related to out of stocks, price tags, promo tags, top stock, product association, fixture detection, shelf coverage, and data quality.
• Support launches and expansions. Partner with Sales, Implementation, Product, Customer Success, Data, Computer Vision, and Field teams to ensure new deployments meet customer requirements and scale smoothly.
• Own release validation. Test customer facing model and pipeline updates, evaluate accuracy impacts, and help manage deployment readiness for releases tied to customer needs.
• Analyze production data. Use Python, pandas, SQL, internal tools, logs, robot imagery, and customer outputs to diagnose problems, quantify impact, and recommend fixes.
• Build operational tooling. Create or improve internal tools that reduce deployment time, automate QA, expose data quality issues, and help customer facing teams move faster.
• Close the loop with Product and Engineering. Turn repeated customer issues into clear product requirements, engineering tickets, and model improvement opportunities.

Skills

Python

Data analysis

Communication

Problem solving

Tools

Git

Linux

SQL

Pandas

Job description

Simbe Robotics is seeking a Customer Facing Applied AI Engineer to turn our computer vision and data platform into customer value across new and existing retail deployments. This role sits at the intersection of Computer Vision, Data, Product, Customer Success, and Field Operations.

You will configure, tune, validate, and troubleshoot Simbe's AI pipelines for customer environments, helping retailers get accurate and actionable insights from Tally as quickly and reliably as possible.