Snowflake
Commercial Solution Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
DADatabricks
Senior Solutions Architect - Lakewatch(m/w/x)
Berlin
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Splunk
- Microsoft Sentinel
- QRadar
- SOAR
- OCSF
- SQL
- Python
- AWS
- Azure
- GCP
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Databricks erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Noch nicht perfekt?
- Moonfare
Senior Data Architect(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Databricks
Manager, Field Engineering - Strategic Accounts Germany(m/w/x)
Vollzeitnur vor OrtSeniorBerlin, München - SAP
Architect for Foundation Model and Data Platform(m/w/x)
Vollzeitnur vor OrtSeniorPotsdam, Walldorf, Berlin, München - ServiceNow
Senior Solution Sales Executive, Platform, Data & AI - Public Sector Germany(m/w/x)
Vollzeitnur vor OrtSeniorMünchen, Frankfurt am Main, Berlin, Düsseldorf, Hamburg
DADatabricks
Senior Solutions Architect - Lakewatch(m/w/x)
Berlin
VollzeitVor OrtSenior
AI/ML
Data Science
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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)
Aufgaben
- 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
Berufserfahrung
- 5 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Splunk
- Microsoft Sentinel
- QRadar
- SOAR
- OCSF
- SQL
- Python
- AWS
- Azure
- GCP
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Databricks erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Databricks
Branche
IT
Beschreibung
Databricks is the data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
Noch nicht perfekt?
- Snowflake
Commercial Solution Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin - Moonfare
Senior Data Architect(m/w/x)
Vollzeitnur vor OrtSeniorBerlin - Databricks
Manager, Field Engineering - Strategic Accounts Germany(m/w/x)
Vollzeitnur vor OrtSeniorBerlin, München - SAP
Architect for Foundation Model and Data Platform(m/w/x)
Vollzeitnur vor OrtSeniorPotsdam, Walldorf, Berlin, München - ServiceNow
Senior Solution Sales Executive, Platform, Data & AI - Public Sector Germany(m/w/x)
Vollzeitnur vor OrtSeniorMünchen, Frankfurt am Main, Berlin, Düsseldorf, Hamburg