Staff Software Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Staff Software Engineer NYC Office | OnSite 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 Software Engineer, you will help architect and build the core systems that power the Confido platform. You'll lead the development of major product and infrastructure initiatives-from AI-powered document ingestion to large-scale financial analytics systems. This role combines deep technical ownership with product impact, working closely with engineering, product, and customers to turn complex operational workflows into scalable software. Location: New York, NY (Relocation supported) WHAT YOU'LL DO - Lead the design and development of major platform and product systems - Architect scalable infrastructure for financial data processing and analytics - Build systems that ingest and process financial data across multiple sources - Develop AI-powered workflows for document ingestion and financial automation - Partner with product and leadership to shape technical strategy and roadmap - Mentor engineers and help raise the technical bar across the team EXAMPLE PROBLEMS - AI-powered ingestion of invoices, deductions, and retailer reports - Scaling data pipelines that ingest financial

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