United States onlyOur partner is building compliance infrastructure for autonomy, transforming unstructured operational data into deterministic, auditable, and replayable outputs. The system operates as a system of record under strict constraints, ensuring consistent and defensible outcomes across varying inputs, customers, and regulatory environments.
The Senior Product Engineer is responsible for execution of the core system, including data ingestion, normalization, reporting, and integrations. This role focuses on designing and maintaining a deterministic architecture that ensures correctness, traceability, and resilience at scale. The position is accountable for system behavior under real-world conditions, including failure scenarios, and for maintaining data lineage and architectural integrity as the system evolves.
Responsibilities
- Own implementation and evolution of core system workflows across data ingestion, normalization, and artifact generation
- Design and build data processing and message handling systems to ingest, transform, and validate asynchronous inputs at scale
- Define and enforce architectural patterns to prevent hidden state, schema drift, and customer-specific logic in the core system
- Maintain end-to-end data lineage from source inputs through output generation
- Build and maintain ingestion and normalization pipelines for multi-source, inconsistent inputs
- Collaborate with leadership to prioritize and sequence development work
- Participate in technical discussions with partners and customers, representing system capabilities and constraints
- Identify reusable integration and system patterns to support scalability and repeatability
- Design systems that behave predictably under partial data, malformed inputs, and scaling conditions
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Minimum of 5 years of experience building and shipping B2B SaaS, platform, or enterprise systems
- Experience owning system architecture and product functionality from design through deployment
- Experience building data-intensive or message-driven systems with emphasis on correctness and failure handling
Technical Skills
- Proficiency in at least one modern backend language (e.g., TypeScript, Go, Rust, Kotlin, or similar)
- Experience with PostgreSQL for data modeling and persistence
- Working knowledge of React for internal tools or interfaces
- Experience with Docker and containerized application development
- Proficiency with Git and GitHub workflows
- Experience deploying applications in AWS using CDK, CloudFormation, or Terraform
- Experience with API-driven architectures, data ingestion pipelines, and data normalization
- Experience with event-driven systems or message processing architectures
- Experience designing backend systems with security, dependency management, and deployment constraints
Additional Knowledge
- Familiarity with enterprise integration patterns and system interoperability
- Understanding of LLM ecosystem, including limitations and security considerations
- Experience with multi-tenant systems and data isolation principles (preferred)
- Experience in regulated or audit-sensitive environments (preferred)
Other Requirements
- Ability to operate as an individual contributor without reliance on structured product management or detailed specifications
- Ability to engage with leadership and external stakeholders in technical discussions
- Willingness to work in an early-stage environment with evolving priorities
- Ability to make and defend architectural decisions, including tradeoffs in system design and infrastructure
