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Product Infrastructure Engineer, Data & Agent Systems
Truewind
San Francisco, CA
$180k – $200k/year Apply Now
Founding Product Marketing Manager
Tiki AI
San Francisco, CA
$140k – $190k/year Apply Now
Product Manager Item and Catalog Management
Staples
Framingham, MA
$87k – $120k/year Apply Now
Senior Product Manager - WWE Champions
Scopely
Canada, Kentucky
$145k – $220k/year Apply Now
Product Manager, Community and Growth (AI-Driven)
Crunchbase
Colorado, us
$125k – $147k/year Apply Now
Product Designer
Parallel Web Systems
San Francisco Bay, us
$200k – $280k/year Apply Now
Associate Director, Product Analytics and Insights
Best Buy
New York, NY
$117k – $208k/year Apply Now
Sr. Product Marketing Manager - Release Marketing & PMM Operations
Samsara
San Francisco, CA
$119k – $201k/year Apply Now
Founding Product Marketing Lead
Nickel
Brooklyn, NY
$130k – $175k/year Apply Now
Product Manager
Numeral
New York, NY
$150k – $250k/year Apply Now
ORIGINAL JOB LISTING

Product Infrastructure Engineer, Data & Agent Systems

Truewind
San Francisco, CA
On Site
Full Time
New
$180k - $200k/year

This job is currently accepting applications. Review the details and apply today.

About this role

Backend-leaning infrastructure role focusing on building data foundation and execution systems for AI agents in accounting Product infrastructure role involving production data models, correctness-sensitive workflows,

and agent execution systems

Responsibilities

  • Migrating Truewind from legacy data models to cleaner domain models while maintaining live customer workflows
  • Building orchestration for agent workflows and execution systems
  • Designing schemas, repositories, services, APIs, and workflows
  • Building and maintaining data pipelines for financial data
  • Writing migrations, backfills, validation checks, and test coverage
  • Migrating customer-facing product modules to new domain models
  • Creating internal tools for debugging data pipeline failures
  • Improving observability and data quality checks

Required Skills & Experience

  • 4+ years of experience in product infrastructure, backend engineering, data infrastructure, or distributed systems
  • Experience with async jobs, queues, workflow engines, retries, idempotency, and failure recovery
  • Experience building agent runtimes, tool execution platforms, or secure execution environments
  • Strong coding ability in TypeScript, Python, Go, Rust, or similar
  • Experience with ERP, fintech, billing, payments, reconciliation, accounting, or financial data systems
  • Good judgment around system boundaries, reliability, observability, and operational simplicity
  • Strong experience with relational databases, schema design, migrations, and data integrity
  • Experience with sandboxing or isolated execution technologies

Benefits

  • Opportunity to work on AI workflows in a startup environment
  • Chance to build reliable production systems for AI agents
  • About Truewind
  • Building AI agents for accounting teams to close books faster and more accurately
  • Focus on reading documents, preparing workpapers, reconciling transactions, and operating across ERP and financial systems

Environment

Position Overview Backend-leaning infrastructure role focusing on building data foundation and execution systems for AI agents in accounting Job Overview Product infrastructure role involving production data models, correctness-sensitive workflows, and agent execution systems

Migrating Truewind from legacy data models to cleaner domain models while maintaining live customer workflows What We're Looking For 4+ years of experience in product infrastructure, backend engineering, data infrastructure, or distributed systems

Strong experience with relational databases, schema design, migrations, and data integrity Experience with async jobs, queues, workflow engines, retries, idempotency, and failure recovery

Strong coding ability in TypeScript, Python, Go, Rust, or similar Good judgment around system boundaries, reliability, observability, and operational simplicity

Building and maintaining data pipelines for financial data Migrating customer-facing product modules to new domain models Designing schemas, repositories, services, APIs, and workflows Writing migrations, backfills, validation checks, and test coverage Improving observability and data quality checks Creating internal tools for debugging data pipeline failures Building orchestration for agent workflows and execution systems Designing artifact handling, tool-calling infrastructure, and human review flows for AI agents Adding traces, logs, workflow state, and debugging tools for auditability Preferred

Experience with ERP, fintech, billing, payments, reconciliation, accounting, or financial data systems Experience with sandboxing or isolated execution technologies Experience building agent runtimes, tool execution platforms, or secure execution environments

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