5 hours ago
Base Salary
$268k - $321k/yr
Responsibilities
- Own and execute the data security roadmap covering classification, access controls, encryption, tokenization, and data flow security.
- Define secure access strategies for humans, services, and AI agents, including least-privilege and brokered access patterns.
- Design and ship tokenization, field-level protection, column-level security, role-based access controls, and audit visibility.
- Secure data flows across cloud storage, pipelines, application services, Snowflake, and production databases.
- Build audit logging and data access monitoring suitable for auditors and regulators.
- Support data mapping, retention, deletion, and cross-border privacy engineering work for new markets and regulatory regimes.
- Partner with Legal and Compliance to translate data handling requirements into infrastructure.
- Provide reusable secure-data patterns and threat-model new data flows before deployment.
Requirements
- 6+ years of security engineering experience with deep hands-on data security experience in encryption, tokenization, access control design, and key management.
- Strong command of AWS security primitives, including IAM, KMS, S3 security, and VPC controls.
- Experience securing Snowflake or a comparable data warehouse and relational production databases.
- Experience designing and shipping access control systems, including row- or column-level security, ABAC/RBAC, and access brokering.
- Fluency in at least one automation language such as Python, Go, or Ruby.
- Comfort working in a regulated environment.
- Hands-on experience with infrastructure as code using Terraform or Pulumi.
- Preferred experience includes securing AI/LLM systems and agentic workloads, fintech tokenization, audit logging and access monitoring, privacy engineering, and consumer financial services.
About Kikoff
Kikoff builds consumer fintech products to help people establish and improve credit, including a reported Credit Account tradeline, rent and bill reporting, identity protection, and an AI-powered debt negotiation tool; its platform uses machine learning for underwriting, fraud, and personalization. The company monetizes through credit-building accounts and related financial services. Founded in 2019 and headquartered in San Francisco, it is privately held and serves U.S. consumers focused on credit building and financial wellness.