Posted May 1, 2026
Define and evolve the technical architecture for the Organization Platform — including Organizations API, Applications API, Domain Validation, Business Onboarding, RBAC, AI-driven org validation, and workflow engine services. - Own the architecture and operational strategy for the Data Acquisition & Normalization platform — including source connectors, normalization pipelines, and validation event delivery to downstream consumers. - Champion API-first, platform-first design across both teams — ensuring services are developer-friendly, well-documented, versioned, and built for long-term interoperability. - Drive roadmap delivery across both teams — setting priorities, removing blockers, and ensuring high-quality, well-tested software ships on time. - Build a team culture of ownership, technical rigor, continuous improvement, and high-quality code. - Mentor senior and staff engineers, developing the next generation of technical leaders within the org. - Serve as the technical bridge between Engineering, Product, Legal/Compliance, Security, and enterprise customer teams across both domains. - Provide technical input into team and org-level planning, influencing roadmap prioritization based on platform capabilities and constraints. ## Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). - 10+ years of software engineering experience, with at least 3 years in an engineering management or tech lead manager capacity leading teams of 5–10+ engineers. - 5+ years of experience building and operating secure, scalable backend APIs and distributed systems (Java, Go, Ruby, Python, or similar). - 5+ years of experience building and operating data pipelines, API integrations, or ETL/normalization systems at scale. ##
Master's degree in Computer Science or a related technical field. - Deep familiarity with data privacy, security, and compliance considerations in products that handle sensitive personal or organizational data. - Proven track record collaborating cross-functionally with Product, Legal/Compliance, Security, and business stakeholders to deliver complex programs. - Strong communication skills with the ability to represent engineering decisions clearly to both technical and non-technical audiences. - Experience building or managing organization identity, business verification, or entity attribute platforms at scale. - Familiarity with data acquisition patterns including screen scraping, REST/SOAP integrations, batch data flows, and normalization pipelines. - Experience with AI-driven validation, profiling, or classification systems integrated into production data pipelines. - Hands-on experience with OAuth2, OpenID Connect, SAML, and enterprise SSO in the context of B2B integrations or developer onboarding. - Experience with graph databases (e.g., Neo4j) and modeling entity-attribute relationships at scale. - Experience with cloud-native infrastructure (AWS, GCP, or Azure), container orchestration (Kubernetes, GKE), and infrastructure-as-code. - Bonus: Experience at a FinTech, identity, data aggregation, or developer platform company (e.g., Plaid, Yodlee, Okta, Twilio).
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