Snowflake
Commercial Solution Engineer(m/w/x)
Full-timeOn-siteExperienced
Berlin
New Job?Nejo!
Your personal AI career agent
DADatabricks
Senior Solutions Architect - Lakewatch(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Driving revenue growth for early-stage data and AI products in a specific region. 5+ years cybersecurity engineering or architecture expertise required. Focus on product market fit and customer-facing security solutions.
Requirements
- 5+ years cybersecurity engineering, SecOps, or architecture expertise
- Proven track record designing/delivering customer-facing security solutions
- 3+ years customer-facing, pre-sales or consulting role
- Experience designing/implementing data and AI apps in cybersecurity
- Experience with anomaly detection, behavioral analytics, agentic AI workflows
- Deep familiarity with SIEM platforms (Splunk, Sentinel, QRadar, similar)
- SIEM deployment, tuning, detection engineering, migration strategies
- Familiarity with SOAR platforms desirable
- Strong understanding of security telemetry landscape
- Familiarity with OCSF standards
- Experience with “detection-as-code” workflows
- Rule authoring in SQL or YAML
- CI/CD integration for detection pipelines
- MITRE ATT&CK framework mapping
- Credibility influencing security analytics products
- Market insight to shape product roadmap
- 5+ years customer-facing, pre-sales or consulting role
- Influencing technical executives
- Driving high-level security strategy and product adoption
- Experience designing/implementing data and AI apps in cybersecurity
- Experience with anomaly detection, behavioral analytics, agentic AI workflows
- Proficient in SQL and Python programming
- Proficient in debugging and problem-solving with AI tools
- Experience collaborating with Global System Integrators (GSIs)
- Experience collaborating with third-party consulting organizations
- Hands-on experience building solutions in AWS, Azure, or GCP
- Understanding of cloud-native security logging and monitoring
- Deep experience in security operations
- Broad familiarity with data engineering, data warehousing, AI/ML for security, data governance, streaming
- Undergraduate degree in technical field (CS, Cybersecurity, Math, Engineering)
Tasks
- Pair with Account Executive for product line targets
- Execute Databricks’ strategic Product Operating Model
- Focus on early-stage, high-priority product lines
- Establish product market fit and drive revenue growth
- Cover a specific, local region within a global team
- Engage clients across various business units and verticals
- Foster relationships and position the product line in-depth
- Develop and implement a strategy for assigned accounts
- Create presentations, demos, and other assets
- Guide customers to informed decisions about product adoption
- Provide technical leadership for big data projects
- Collaborate with GTM leadership and account teams
- Design and execute high-impact engagement strategies
- Drive Lakewatch adoption from data offload to SIEM augmentation
- Serve as a trusted advisor to CISOs, security architects, and SOC leadership
- Build technical credibility and drive product adoption
- Enable clients through workshops and POC execution
- Develop customer-facing collateral to increase technical knowledge
- Influence product roadmap with data-driven insights
- Handle complex technical challenges as tier-3 escalation point
- Ensure customer success in mission-critical security environments
- Establish and refine sales qualification and POC intake processes
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Splunk
- Microsoft Sentinel
- QRadar
- SOAR
- OCSF
- SQL
- Python
- AWS
- Azure
- GCP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Databricks and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- Moonfare
Senior Data Architect(m/w/x)
Full-timeOn-siteSeniorBerlin - Databricks
Manager, Field Engineering - Strategic Accounts Germany(m/w/x)
Full-timeOn-siteSeniorBerlin, München - SAP
Architect for Foundation Model and Data Platform(m/w/x)
Full-timeOn-siteSeniorPotsdam, Walldorf, Berlin, München - ServiceNow
Senior Solution Sales Executive, Platform, Data & AI - Public Sector Germany(m/w/x)
Full-timeOn-siteSeniorMünchen, Frankfurt am Main, Berlin, Düsseldorf, Hamburg
DADatabricks
Senior Solutions Architect - Lakewatch(m/w/x)
Berlin
Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
Driving revenue growth for early-stage data and AI products in a specific region. 5+ years cybersecurity engineering or architecture expertise required. Focus on product market fit and customer-facing security solutions.
Requirements
- 5+ years cybersecurity engineering, SecOps, or architecture expertise
- Proven track record designing/delivering customer-facing security solutions
- 3+ years customer-facing, pre-sales or consulting role
- Experience designing/implementing data and AI apps in cybersecurity
- Experience with anomaly detection, behavioral analytics, agentic AI workflows
- Deep familiarity with SIEM platforms (Splunk, Sentinel, QRadar, similar)
- SIEM deployment, tuning, detection engineering, migration strategies
- Familiarity with SOAR platforms desirable
- Strong understanding of security telemetry landscape
- Familiarity with OCSF standards
- Experience with “detection-as-code” workflows
- Rule authoring in SQL or YAML
- CI/CD integration for detection pipelines
- MITRE ATT&CK framework mapping
- Credibility influencing security analytics products
- Market insight to shape product roadmap
- 5+ years customer-facing, pre-sales or consulting role
- Influencing technical executives
- Driving high-level security strategy and product adoption
- Experience designing/implementing data and AI apps in cybersecurity
- Experience with anomaly detection, behavioral analytics, agentic AI workflows
- Proficient in SQL and Python programming
- Proficient in debugging and problem-solving with AI tools
- Experience collaborating with Global System Integrators (GSIs)
- Experience collaborating with third-party consulting organizations
- Hands-on experience building solutions in AWS, Azure, or GCP
- Understanding of cloud-native security logging and monitoring
- Deep experience in security operations
- Broad familiarity with data engineering, data warehousing, AI/ML for security, data governance, streaming
- Undergraduate degree in technical field (CS, Cybersecurity, Math, Engineering)
Tasks
- Pair with Account Executive for product line targets
- Execute Databricks’ strategic Product Operating Model
- Focus on early-stage, high-priority product lines
- Establish product market fit and drive revenue growth
- Cover a specific, local region within a global team
- Engage clients across various business units and verticals
- Foster relationships and position the product line in-depth
- Develop and implement a strategy for assigned accounts
- Create presentations, demos, and other assets
- Guide customers to informed decisions about product adoption
- Provide technical leadership for big data projects
- Collaborate with GTM leadership and account teams
- Design and execute high-impact engagement strategies
- Drive Lakewatch adoption from data offload to SIEM augmentation
- Serve as a trusted advisor to CISOs, security architects, and SOC leadership
- Build technical credibility and drive product adoption
- Enable clients through workshops and POC execution
- Develop customer-facing collateral to increase technical knowledge
- Influence product roadmap with data-driven insights
- Handle complex technical challenges as tier-3 escalation point
- Ensure customer success in mission-critical security environments
- Establish and refine sales qualification and POC intake processes
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Splunk
- Microsoft Sentinel
- QRadar
- SOAR
- OCSF
- SQL
- Python
- AWS
- Azure
- GCP
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Databricks and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Databricks
Industry
IT
Description
Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
Not a perfect match?
- Snowflake
Commercial Solution Engineer(m/w/x)
Full-timeOn-siteExperiencedBerlin - Moonfare
Senior Data Architect(m/w/x)
Full-timeOn-siteSeniorBerlin - Databricks
Manager, Field Engineering - Strategic Accounts Germany(m/w/x)
Full-timeOn-siteSeniorBerlin, München - SAP
Architect for Foundation Model and Data Platform(m/w/x)
Full-timeOn-siteSeniorPotsdam, Walldorf, Berlin, München - ServiceNow
Senior Solution Sales Executive, Platform, Data & AI - Public Sector Germany(m/w/x)
Full-timeOn-siteSeniorMünchen, Frankfurt am Main, Berlin, Düsseldorf, Hamburg