Lakewatch Strategic Sales Specialist

Lakewatch Strategic Sales Specialist

Full-Time 80000 - 100000 € / year (est.) No home office possible
Databricks

At a Glance

  • Tasks: Drive sales of Lakewatch, modernising security operations with cutting-edge technology.
  • Company: Join Databricks, a leader in data and AI solutions.
  • Benefits: Comprehensive benefits, inclusive culture, and opportunities for professional growth.
  • Other info: Dynamic role with global reach and significant career advancement potential.
  • Why this job: Make a real impact in security while working with top-tier clients.
  • Qualifications: 7+ years in SaaS sales, strong understanding of security platforms.

The predicted salary is between 80000 - 100000 € per year.

Lakewatch Sales Specialist – Databricks is seeking a Lakewatch Sales Specialist to help security teams modernize their SIEM with an open, agentic platform that unifies security, IT, and business data for AI-driven detection and response. As a global specialist overlay, you will partner with regional account teams to make Lakewatch the strategic choice for customers looking to consolidate tools, cut SIEM costs, and defend at machine speed.

What we look for:

  • 7+ years of enterprise SaaS sales experience with a track record of exceeding quota in complex, multi-stakeholder deals.
  • Proven success selling security or observability platforms (e.g., SIEM, log analytics, security data lakes, XDR) to CISOs, SecOps leaders, and SOC teams.
  • Strong understanding of modern security operations and data architectures, and how open data platforms change SIEM economics and capabilities.
  • Ability to sell to both technical and business stakeholders, from SOC analysts and architects to CISOs, CIOs, and line-of-business leaders.
  • Experience in a specialist or overlay role, partnering with core AEs to create, progress, and close opportunities and acting as a force multiplier.
  • Executive presence and technical fluency, including comfort whiteboarding solutions and leading C-level conversations about risk, cost, and agility.
  • Strong value-selling and storytelling skills, from discovery to business case, competitive positioning, and close.
  • Bachelor’s degree or equivalent practical experience.

Responsibilities:

  • Hit and exceed Lakewatch ARR and pipeline targets in your coverage area, building a durable, data-driven Lakewatch business.
  • Replace or reduce legacy SIEM and log management tools, delivering clear customer savings while maintaining or improving detection and response outcomes.
  • Establish Lakewatch as the strategic security data platform in key accounts, with customers ingesting and retaining 100% of their security telemetry and using it alongside business data.
  • Drive high-impact SIEM and security analytics deals across the global DB700 by co-owning strategy and execution with core AEs and Cyber SMEs.
  • Run Lakewatch as a business: track revenue, pipeline, and competitive trends, and turn insights into focused account plans and repeatable plays.
  • Enable the field so AEs can independently qualify and position Lakewatch, reflected in growing pipeline and wins sourced by non-specialist sellers.
  • Represent Lakewatch in the market and internally, creating references, stories, and enablement that showcase its impact for security teams.

About Databricks:

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

Benefits:

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion:

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Lakewatch Strategic Sales Specialist employer: Databricks

Databricks is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. With a strong commitment to diversity and inclusion, employees benefit from comprehensive perks and opportunities for professional growth, all while working with cutting-edge technology in a global setting. As a Lakewatch Strategic Sales Specialist, you will play a pivotal role in transforming security operations for clients, making a meaningful impact in the industry.

Databricks

Contact Detail:

Databricks Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Lakewatch Strategic Sales Specialist

Tip Number 1

Network like a pro! Get out there and connect with folks in the industry. Attend events, webinars, or even local meetups. The more people you know, the better your chances of landing that Lakewatch Sales Specialist role.

Tip Number 2

Show off your storytelling skills! When you get the chance to chat with potential employers, make sure to share compelling stories about your past successes in sales. Highlight how you've tackled complex deals and exceeded quotas – it’s all about making an impact!

Tip Number 3

Do your homework on Databricks! Understand their products, especially Lakewatch, and be ready to discuss how they can revolutionise security operations. This will show you're genuinely interested and prepared to contribute from day one.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the Databricks team and ready to take on the challenge of modernising SIEM for customers.

We think you need these skills to ace Lakewatch Strategic Sales Specialist

Enterprise SaaS Sales Experience
Security Platforms Knowledge
SIEM Expertise
Log Analytics Understanding
Data Architecture Knowledge
Stakeholder Engagement
Value-Selling Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the Lakewatch Sales Specialist role. Highlight your experience in enterprise SaaS sales and any specific achievements that showcase your ability to exceed quotas in complex deals.

Craft a Compelling Cover Letter:Your cover letter is your chance to tell your story. Use it to explain why you're passionate about modernising SIEM and how your background aligns with our mission at Databricks. Don’t forget to mention your experience with security platforms!

Showcase Your Technical Fluency:Since this role involves selling to both technical and business stakeholders, make sure to highlight your understanding of security operations and data architectures. Use examples from your past roles to demonstrate your comfort in leading C-level conversations.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to see your application and get you into the process. Plus, it shows you’re serious about joining our team!

How to prepare for a job interview at Databricks

Know Your Stuff

Make sure you have a solid understanding of SIEM, security operations, and how open data platforms can change the game. Brush up on the latest trends in security analytics and be ready to discuss how they impact business decisions.

Tailor Your Story

Prepare to share specific examples from your past sales experiences that highlight your success in complex, multi-stakeholder deals. Use storytelling to illustrate how you've helped clients save costs or improve their security posture.

Engage with Technical Fluency

Be comfortable discussing technical details and leading conversations with C-level executives. Practice whiteboarding solutions and articulating the value of Lakewatch in a way that resonates with both technical and business stakeholders.

Showcase Your Value-Selling Skills

Demonstrate your ability to create compelling business cases and competitive positioning. Prepare to discuss how you can help Databricks achieve its ARR and pipeline targets by enabling AEs and driving high-impact deals.