About Cogent Security
Cogent Security is on a mission to stop breaches and prevent cybercrime by innovating at the frontier of generative AI systems. We are building the world’s first AI cyber taskforce, composed of AI agents capable of human-caliber reasoning and execution of cybersecurity tasks, that autonomously protects organizations from emerging threats. The early adopters of our technology include some of the world’s most important institutions, spanning public companies, elite universities, and Fortune 500 corporations across industries.
Cogent was founded by a seasoned team of former engineering and product leaders, who bring decades of experience across cybersecurity and technology. The early team is fully in-person in San Francisco and New York, and consists of the top software engineering and machine learning talent from leading companies such as Abnormal Security, Coinbase, Microsoft, Tesla, Stripe and more. To support our ambitious growth plans, we recently raised a large Seed round from top investors and angels across AI, cybersecurity, and enterprise software.
As we execute on our mission, we are constantly pushing ourselves to ACHIEVe:
Ambition for Excellence
We work backwards from the way things should be and constantly measure our progress against it
Customer Centricity
We obsess over the problems our customers face and relentlessly innovate to find the best solutions
Intellectual Honesty
We embrace hard conversations and actively seek the truth
Intentionality
We exhibit good judgment and are thoughtful about tradeoffs
Extreme Ownership
We take pride in our work and never say the words “not my problem”
Velocity / Bias for Action
We don’t leave for tomorrow what can be done today
As we extend our founding team, we are looking for talented, ambitious individuals who are excited to build in the Applied AI space!
About the Role
We are looking for Founding- and Staff-level Engineers to design and implement the foundational pillars of Cogent’s data platform and integration pipeline in order to reliably ingest and normalize enterprise data sources across many corporate and IT systems and then to enable the transformation of that data into a knowledge base that can be leveraged by other GenAI systems.
What You’ll Do & Achieve
Build the new standard for ingesting and extracting enterprise data
Your role will involve building data connectors, running data pipelines, and extracting insights and context from our customer’s enterprise environments.
You should get excited about building robust and secure backend systems that handle large volumes of data, ETLs, as well as reimagining how enterprise security teams should extract, store and access data.
Design highly performant data pipelines and indexing strategies that enable Applied AI use cases like semantic search and retrieval augmented generation
Work with Applied AI teams to taxonomize, correlate and deduplicate data across various enterprise sources, and architect indexing, storage and query strategies for data in Cogent’s data lake.
Architect the modern data platform for Gen AI
The LLM stack and Gen AI landscape is changing everyday. You’ll be front and center of making build vs buy decisions for various tools and services needed by the data platform, and integrating these decisions into our broader architecture and tech roadmap.
Implement generalizable design patterns and system components that allow us to scale from 1 integration to thousands of integrations
What You’ll Bring
5+ years of professional experience as a hands-on engineer and technical leader leading multiple projects
Experience building data pipelines for Information Retrieval Systems (such as knowledge graphs, search engines, or similar) for enterprise use cases
Experience in ETL orchestration and workflow management tools (such as Temporal, Airflow) as well as building batch processing and streaming systems with tools like Apache Kafka/Flink
Expert in database fundamentals, SQL, data reliability practices and distributed computing
Experience working fluently with standard orchestration & deployment technologies like Kubernetes, Terraform, Docker, Databricks, etc in multiple clouds
For California Based Applicants
The standard base salary range for this position is $100,000 - $300,000 annually. Compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We are committed to building an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.