About the Job
Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to...
We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.
YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.
Key Responsibilities
YipitData is looking for a Product Security Engineer to help build security into the products and services we deliver to customers.
In this role, you will partner closely with Engineering and Product teams throughout the development lifecycle. You will assess new products and technologies, lead threat modeling and security design reviews, identify vulnerabilities, and help teams implement practical fixes before issues reach production.
This is a hands-on role for someone who understands how modern applications are designed and built. You should be comfortable reviewing system architecture, analyzing vulnerabilities, working directly with engineers, and improving the security tools embedded in our development pipelines.
This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one of our office hubs, or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding.
Get involved early in new products and features, using threat modeling and security design reviews to find problems before they reach production
Dig into application architecture, APIs, authentication, authorization, data flows, cloud services, and third-party integrations to understand how systems could be attacked
Find and validate vulnerabilities, separate real risk from noise, and help teams prioritize what actually matters
Work alongside engineers to design remediate plans that protect customers without bringing development to a halt
Own and improve security tooling across the development lifecycle, including SAST, DAST, dependency scanning, and secret scanning
Tune security tools and workflows so engineers receive useful findings instead of a flood of false positives
Build automation that allows Product Security to keep pace as our products, engineering teams, and use of AI continue to grow
Turn security lessons into clear standards, secure design patterns, coding guidance, and documentation engineers will actually use
Help lead the response when product security issues arise, from initial investigation and containment through root cause analysis and long-term remediation
Become a trusted partner to Engineering and Product by bringing strong security judgment and workable solutions to difficult decisions
Explore emerging risks across cloud and AI-enabled products and help YipitData prepare for attack techniques that do not yet have a standard playbook
You have worked in product security, application security, software engineering, penetration testing, or another role that taught you how applications are built and broken
You can look at a complex system, follow the data, identify trust boundaries, and quickly understand where the real risks may be hiding
You know how to threat model, review architecture, and assess applications without relying entirely on a checklist
You can validate a vulnerability, determine whether it is actually exploitable, and explain why it matters to both engineers and business leaders
You are comfortable working across APIs, cloud services, containers, serverless technologies, and CI/CD pipelines
You have worked with tools such as SAST, DAST, dependency scanning, secret scanning, or infrastructure-as-code scanning, and know that getting useful results takes more than simply turning them on
You can read and write code and are excited to automate repetitive security work using Python, JavaScript, or a similar language
You bring strong judgment and can balance security, customer impact, engineering effort, and business priorities
You communicate clearly, ask thoughtful questions, and can build credibility with both technical and non-technical teams
You have secured AI-enabled products, agents, large language model applications, or MCP integrations and are excited by risks that do not yet have a perfect playbook
You have deep experience with identity, authentication, authorization, or multi-tenant application security
You have applied frameworks such as the OWASP Top 10, OWASP MCP Top 10, OWASP ASVS, or NIST in real-world environments
You enjoy working across multiple products and engineering teams in an environment where priorities move quickly and no two days look exactly the same