Job description

Kikoff: The Fintech Powering Financial Security at Scale Kikoff is a profitable, pre-IPO fintech company on a mission to empower everyone to achieve financial security. With record revenue growth in 2025 and a unicorn valuation, we've built a suite of products that help millions of people build credit, access liquidity, and save money. We're scaling fast. Join us if you want to build something meaningful and help millions of people move forward financially. Why Kikoff: This is a consumer fintech startup, and you will be working with serial entrepreneurs who have built strong consumer brands and innovative products. We value extreme ownership, clear communication, a strong sense of craftsmanship, and the desire to create lasting work and work relationships. Yes, you can build an exciting business AND have real-life real-customer impact. About the Role Kikoff exists to help millions of people build credit. That only works if they trust us with their financial data. This role owns the Data Security pillar at Kikoff: how data is classified, accessed, encrypted, moved, and audited across our entire stack. You will own and dictate the data security roadmap. You define the strategy, sequence the work, and drive it to done. Your work will be felt by every engineer at Kikoff and every customer we serve, and it will shape how we handle sensitive data as we scale. In This Role, You Will Own the Pillar Own the data security roadmap end to end: classification, access controls, encryption, tokenization, and data flow security across AWS, Snowflake, and our internal pipelines. Set the strategy for how humans, services, and AI agents access sensitive data. You decide what good looks like and build towards it. Drive least-privilege access at scale, including brokered access patterns for our data warehouse and production databases rather than standing credentials. Build & Secure Design and ship tokenization and field-level protection for our most sensitive data Build column-level and role-based access controls across Snowflake and RDS, with audit visibility into who touched what and why Secure data flows between cloud storage, pipelines, and application services so the secure path is the default path Define and enforce access controls for AI agents to guarantee least privilege permissions and proper audibility. Prove It Build audit logging and data access monitoring that holds up in front of auditors and regulators, not just dashboards Support data mapping and privacy engineering work for new markets and regulatory regimes (GLBA, LGPD, state privacy laws) Partner with Legal and Compliance on data handling requirements, and translate them into infrastructure, not policy docs Enable Engineering Give engineers paved roads for handling sensitive data: reusable patterns, clear guidance, fast answers Threat model new data flows before they ship, not after Qualifications 6+ years in security engineering with deep, hands-on data security experience: encryption, tokenization, access control design, key management Strong command of AWS security primitives (IAM, KMS, S3 security, VPC controls) Experience securing a modern data stack: Snowflake or a comparable warehouse, plus relational databases in production You've designed and shipped access control systems, not just configured them. Row/column-level security, ABAC/RBAC, access brokering Fluency in at least one language for automation (Python, Go, Ruby, or similar) Comfortable in a regulated environment Hands-on with infrastructure-as-code (Terraform or Pulumi) Bonus Points Experience securing data access for AI/LLM systems and agentic workloads Tokenization at scale in fintech or payments Audit logging and data access monitoring you built yourself, not bought Privacy engineering depth: data mapping, retention, deletion pipelines, cross-border transfer controls Consumer fintech or financial services background Base Range $268,000 — $321,000 USD A note on applying: We know great candidates sometimes hold back if they don’t meet every qualification listed. If you’re excited about this role and believe you can do the work, we encourage you to apply. We’re looking for capability and trajectory, not a perfect checklist match. Equal Employment Opportunity Statement Kikoff Inc. is an equal opportunity employer. We are committed to complying with all federal, state, and local laws providing equal employment opportunities and considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Please reference the following for more information .

Requirements

Must-haves

In This Role, You Will
Own the Pillar
Own the data security roadmap end to end: classification, access controls, encryption, tokenization, and data flow security across AWS, Snowflake, and our internal pipelines.
Set the strategy for how humans, services, and AI agents access sensitive data. You decide what good looks like and build towards it.
Drive least-privilege access at scale, including brokered access patterns for our data warehouse and production databases rather than standing credentials.
Build & Secure
Design and ship tokenization and field-level protection for our most sensitive data
Build column-level and role-based access controls across Snowflake and RDS, with audit visibility into who touched what and why
Secure data flows between cloud storage, pipelines, and application services so the secure path is the default path
Define and enforce access controls for AI agents to guarantee least privilege permissions and proper audibility.
Build audit logging and data access monitoring that holds up in front of auditors and regulators, not just dashboards
Support data mapping and privacy engineering work for new markets and regulatory regimes (GLBA, LGPD, state privacy laws)
Partner with Legal and Compliance on data handling requirements, and translate them into infrastructure, not policy docs
Enable Engineering
Give engineers paved roads for handling sensitive data: reusable patterns, clear guidance, fast answers
Threat model new data flows before they ship, not after
6+ years in security engineering with deep, hands-on data security experience: encryption, tokenization, access control design, key management
Strong command of AWS security primitives (IAM, KMS, S3 security, VPC controls)
Experience securing a modern data stack: Snowflake or a comparable warehouse, plus relational databases in production

Nice-to-haves

Experience securing data access for AI/LLM systems and agentic workloads
Tokenization at scale in fintech or payments
Audit logging and data access monitoring you built yourself, not bought
Privacy engineering depth: data mapping, retention, deletion pipelines, cross-border transfer controls
Consumer fintech or financial services background

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsaipythongollm

Platform: greenhouse
Effort: quick