MKTQ427R40
We are looking for a creative, passionate and well-rounded individual to join our Digital Native and Startup marketing team to help us focus on the fastest-moving segment in tech: venture-backed startups building and scaling on AI. Our mission is to meet founders and technical teams where they are, from pre-seed to pre-IPO, with messaging, programs and community that make Databricks the obvious foundation for the companies being built right now. This is a highly collaborative strategic role that works closely with many other functions, plus the venture capital ecosystem that surrounds this segment.
As a Sr. Industry Marketing Manager at Databricks, you will guide messaging, content and GTM programs for the Startup segment. You will work with sales, partners, VCs, accelerators and our customers to build awareness, demand generation and sales enablement programs that help achieve pipeline goals. You will also build the credibility engine for this audience through founder and engineering-led content, developer channels, community programs, and startup and investor events. This role reports to the Sr. Director of Industry Solutions Marketing.
Ideal candidates will have a proven record of impact marketing to startups and developers, real technical fluency, and a working understanding of how venture-backed companies buy, adopt and expand their use of infrastructure and AI tooling. You will have a strong point of view on where this segment is going, informed by time spent with founders, investors and builders. Finally, you will have experience building strategies that resonate with a startup audience, from the first engineer evaluating a platform to the founder or CTO signing off on the spend.
The impact you will have- Establish a startup-segment positioning and content framework used consistently across priority sales, partner, developer, field, and demand-generation programs, with adoption measured through program usage and stakeholder feedback.
- Meet or exceed agreed pipeline and consumption targets for priority startup accounts through integrated account-based, partner, venture, demand-generation, and field programs.
- Build an active venture and accelerator ecosystem that generates measurable portfolio reach, co-marketing activity, qualified opportunities, and sourced or influenced pipeline.
- Improve the conversion of startup evaluations into committed production spend by optimizing credits, trials, free-tier, and other product-led motions, measured through activation, conversion, and expansion rates.
- Increase awareness and technical credibility with startup founders, developers, and technical leaders, measured through target-audience engagement, community participation, content-assisted opportunities, and event outcomes.
- Equip go-to-market teams with startup-specific messaging, technical proof points, sales plays, and enablement that improve seller adoption and segment performance, including conversion, win rate, or sales-cycle metrics.
- Expand the segment’s customer and community proof through credible startup stories, technical content, speaking engagements, and investor or developer events that contribute to reach, engagement, and pipeline.
- 7+ years of experience marketing technology to startups, developers, or the venture ecosystem, or equivalent experience building and scaling a venture-backed startup.
- A proven record of owning marketing strategy for a segment, product line, or go-to-market motion and delivering measurable pipeline, adoption, consumption, or revenue outcomes.
- Experience developing positioning, messaging, and content for complex technical B2B products and translating cloud, data, analytics, or AI/ML capabilities into clear customer use cases and business outcomes.
- Technical fluency in modern data and AI architectures, including the technologies and buying considerations relevant to model providers, agent frameworks, vector search, evaluation tooling, and production workloads.
- Demonstrated success building relationships with venture firms, accelerators, incubators, startup communities, customers, or strategic partners to drive awareness, co-marketing, adoption, or pipeline.
- Working knowledge of venture-backed company buying dynamics, including funding stages, budget and runway pressures, buying authority, and triggers that accelerate or stop infrastructure and AI platform decisions.
- Experience with product-led and consumption-based growth motions, including self-serve funnels, trials, credits, free tiers, and the path from technical evaluation to committed spend.
- Experience leading cross-functional programs and presenting credibly to founders, technical leaders, investors, sales teams, and partners while balancing strategic direction with fast, hands-on execution.
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.
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.
Skills Required
- 7+ years of experience marketing technology to startups, developers, or the venture ecosystem, or equivalent experience building and scaling a venture-backed startup.
- Proven record of owning marketing strategy for a segment, product line, or go-to-market motion and delivering measurable pipeline, adoption, consumption, or revenue outcomes.
- Experience developing positioning, messaging, and content for complex technical B2B products and translating cloud, data, analytics, or AI/ML capabilities into customer use cases and business outcomes.
- Technical fluency in modern data and AI architectures, including model providers, agent frameworks, vector search, evaluation tooling, and production workloads.
- Demonstrated success building relationships with venture firms, accelerators, incubators, startup communities, customers, or strategic partners to drive awareness, co-marketing, adoption, or pipeline.
- Working knowledge of venture-backed company buying dynamics, including funding stages, budget and runway pressures, buying authority, and infrastructure and AI platform decision triggers.
- Experience with product-led and consumption-based growth motions, including self-serve funnels, trials, credits, free tiers, and conversion from technical evaluation to committed spend.
- Experience leading cross-functional programs and presenting credibly to founders, technical leaders, investors, sales teams, and partners while balancing strategic direction with hands-on execution.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
-
Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
-
Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
-
Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
.png)
