Skip to content
Level

Databricks

Sr. Product Marketing Manager, Lakewatch & Agentic Apps

Databricks is hiring a Sr. Product Marketing Manager, Lakewatch & Agentic Apps. It pays $163k-$225k a year and Level rates it ; you can apply on Databricks.

Level's read on this job

  • Level rates this marketing role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 10% higher than the typical marketing posting on Level.
  • The posting mentions product marketing, go to market and cybersecurity among its tools and skills.
  • Level classes it as a senior role.
  • Databricks has 897 other open roles on Level.

AI in this role

Senior Product Marketing Manager at Databricks leading GTM strategy for AI-powered agentic security applications.

product-marketinggo-to-marketcybersecurityagentic-apps

MKTQ227R16

Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic Security Lakehouse that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response.

We are looking for a Sr. Product Marketing Manager to support the marketing strategy for these emerging applications to support Lakewatch in its next phase of growth. In this role, you will shape and execute the go-to-market strategy and tactics for Lakewatch and other applications in the Agentic Apps portfolio, collaborating closely with demand generation, sales, partners, external agencies and contractors, and the broader Databricks marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks.

This role sits within the product marketing organization and works cross-functionally with demand generation, product, sales, and alliances.

The impact you will have:

  • Hit or exceed Lakewatch and Agentic Apps pipeline and revenue goals by shaping and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12–24 months.
  • Execute content and field marketing activities across Agentic Apps by building and deploying scalable marketing programs that increase awareness, improve perception, and drive demand for Databricks Agentic Apps, with an emphasis on decision makers and senior executives in the line of business domain areas. 
  • Increase Lakewatch and Agentic Apps adoption and usage across priority customer segments by co-creating a compelling narrative and positioning that differentiates Databricks in its various application spaces with an emphasis on cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases.
  • Establish Databricks as a recognized leader in its App Domains, with an emphasis on Cybersecurity - by driving thought leadership, field activity, content creation, sales collateral, analyst and influencer engagement, and presence at key industry events, measured through share of voice, coverage, and pipeline contribution and progression
  • Deliver high-impact product and feature launches that translate roadmap investments into business results, meeting agreed-upon targets for adoption, activation, and usage of new capabilities within defined timeframes after launch.
  • Improve sales and overlay effectiveness in sales opportunities by building and scaling sales plays, messaging, and enablement that increase Lakewatch and Agentic Apps win rates and reduce sales cycle times across core regions and segments.
  • Grow partner-sourced and partner-influenced pipeline by building joint narratives, solutions, and programs with cloud and technology partners, tied to specific pipeline and revenue goals.
  • Continuously optimize GTM performance by defining the right metrics, instrumenting programs, and using data and customer feedback to iteratively improve conversion across the funnel (awareness, evaluation, adoption, and expansion).

What we look for:

  • Extensive product marketing experience in enterprise security software, with meaningful exposure to security operations, SIEM/security analytics, or adjacent domains where you have successfully driven pipeline and revenue for security offerings.
  • Proven ability to build and scale GTM for new or early-stage products, including setting goals, defining content and field marketing strategies, and running campaigns and launches that demonstrably improved pipeline, ARR, or adoption.
  • Experience in both hands-on execution and 3rd party agencies for content and events in running demand generation, awareness, and field marketing activity 
  • Experience in “outbound” product marketing such as content marketing, field marketing, working with owned and 3rd party events teams, external agencies and partners, to drive results and maintain a high level of excellence in execution 
  • Attention to detail and operational thinking that uses sound judgment to determine the right levels of execution for cross-product marketing initiatives – from practitioner activity like 3rd party conference sponsorships and demand gen content creation, to executive level events like Executive Forums. 
  • Demonstrated success partnering with product and demand generation to bring market and customer insight into roadmap decisions, with clear examples where your input led to capabilities that increased usage, customer value, or retention.
  • Experience enabling global sales and partner organizations on new solutions or categories, with evidence that your plays, content, field activity, and enablement improved product line outcomes such as win rates, pipeline progression, sales cycle times, or attach rates.
  • Experience collaborating with technology partners or ecosystems to build joint narratives and programs that generated partner-sourced or partner-influenced pipeline.
  • Strong communication, comfortable driving cross-functional initiatives, influencing without direct authority, and representing Databricks with customers, partners, analysts, and at industry events.
  • Comfort operating in a fast-paced, highly cross-functional environment, where you help define new motions and processes rather than simply optimizing established playbooks.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Zone 1 Pay Range$163,400—$224,750 USDZone 2 Pay Range$147,100—$202,300 USDZone 3 Pay Range$139,000—$191,050 USDZone 4 Pay Range$130,700—$179,750 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

How we rate this

Sr. Product Marketing Manager, Lakewatch & Agentic Apps at Databricks rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Product MarketingGo To MarketCybersecurityAgentic Apps

Also common in marketing jobs at this level

Pay

This job starts at
$163k
Typical marketing job
$148k

This posting starts 10% above the typical marketing job. See marketing jobs

Questions you could be asked

  1. Tell me about a project where product marketing was part of your work. What did you do?
  2. Tell me about a project where go to market was part of your work. What did you do?
  3. Tell me about a project where cybersecurity was part of your work. What did you do?
  4. Tell me about a project where agentic apps was part of your work. What did you do?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: Product Marketing, Go To Market, Cybersecurity, and Agentic Apps. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.

Get new marketing jobs (Works on AI ●●●○ or higher) by email

One email a week with the new marketing jobs (Works on AI ●●●○ or higher), each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.

Free. One email a week. Unsubscribe in one click.

Similar roles

Marketing roles that work on AI, at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Databricks

More marketing jobs

Related searches

Same AI level