Introduction:

DeepTempo is a leader in the use of deep learning for cybersecurity. Our vision is collective defense via deep learning. We have built and deployed state-of-the-art LogLMs for cyber security event identification.  

In late 2024 our Tempo solution was announced, with the help of Snowflake, as the first Snowflake NativeApp for incident identification. In early 2025 we announced the successful completion of a POC with the Bank of New York, one of the world’s largest financial custodians. 

Our culture is candid, caring, and customer-centric. We understand that the customer is always right.

Security Solution Engineer:

In this role, you will support prospects and customers as they utilize Snowflake as a datalake and our Tempo NativeApp and related software for incident identification and response. 

Interested candidates will have familiarized themselves with the Tempo NativeApp available from Snowflake.

Your responsibilities will include:

• Hands-on solution engineering, working with existing and cutting-edge Snowflake capabilities.
• Engineering data ingestion into Tempo, for near real-time and batch indication of suspicious sequences.
• Engineering the downstream integration of Tempo indicators into leading SIEMs, including Splunk.
• Supporting the use of Tempo for adjacent use cases such as threat triage and forensics. 

Your experience should include:

• Working with Snowflake or similar security datalakes in an operational cyber security capacity.
• Detection engineering or security operations engineering.  
• Medium to large-scale operations at a rapidly growing start-up or mature enterprise.

Demonstrated interest in the following subjects will be beneficial:

• System design and architecture of security deployments.
• The use of AI for improved workflows.

Compensation is competitive and includes equity in a fast-growing start-up with the potential to transform the >$200bn cyber security industry.