🔹 Job Title: AI Marketer - Growth & Community
🔹 Company: Kumo
🔹 Location: Mountain View, California, United States
🔹 Job Type: Full-time
🔹 Category: 🚀 Growth Marketing
Join Kumo's innovative team as an AI Marketer focused on growth and community building. In this role, you'll develop and execute AI-driven marketing strategies to drive user acquisition, retention, and community engagement for Kumo's data platform that enables machine learning over data warehouses. You'll work in a fast-paced startup environment, collaborating closely with leadership to prioritize high-impact marketing initiatives.
ASSUMPTION: Based on the description of Kumo building "the first data platform to seamlessly allow machine learning over data warehouses," this role is positioned at the intersection of AI technology and marketing, requiring both technical understanding and marketing expertise.
✅ Develop and implement AI-driven marketing strategies for user acquisition and retention
✅ Build and nurture an active community around Kumo's product through online platforms, social media, and events
✅ Create and optimize AI-based content across various marketing channels (blogs, social media, newsletters)
✅ Manage marketing operations including campaign tracking, analytics, automation, and optimization
✅ Collaborate with product, sales, and customer success teams to align messaging and go-to-market strategies
✅ Work with leadership to develop and prioritize high-impact, cost-effective marketing initiatives
Education: Not specified
Experience: 4-8+ years in growth marketing, preferably in a startup environment
Skills:
ASSUMPTION: While no specific educational requirements are mentioned, the technical nature of the role and industry suggests that candidates with degrees in marketing, business, computer science, or related fields may be preferred, though equivalent experience might substitute for formal education.
Salary Range: Not specified
Benefits:
Industry Comparison: Not specified
ASSUMPTION: For AI marketing roles in tech startups in Mountain View, California, compensation typically ranges from $110,000-$160,000 depending on experience level, with equity being a significant component of the total package. This assumption is based on comparable roles in Silicon Valley tech startups.
Industry Position: Kumo is developing a pioneering data platform that enables machine learning over data warehouses, positioning itself at the intersection of big data and artificial intelligence.
Company Size: Early-stage startup
Company Stage: Growth-stage startup
ASSUMPTION: Based on the job description mentioning "growing team" and the need for someone who can "scale marketing efforts from the ground up," Kumo appears to be an early to growth-stage startup. The focus on building the first data platform of its kind suggests they are in an innovative, competitive position in the AI/data space.
Career Level: Mid to Senior-level
Reporting Structure: Likely reports to a marketing leader or directly to executive leadership
Team Size/Composition: Likely a small marketing team or potentially the first dedicated marketing hire
Growth Opportunities: Potential to grow into a leadership role as the company expands
ASSUMPTION: Based on the required 4-8+ years of experience and mention of being a "first marketing hire," this appears to be a mid to senior-level role with significant autonomy and potential for career advancement as the company grows. The reporting structure isn't explicitly stated but given the startup environment, you likely would work closely with executive leadership.
Office Type: Not specified
Geographic Context: Mountain View is in the heart of Silicon Valley, a global tech hub with a high concentration of tech companies and startups. The area has a high cost of living but offers extensive professional networking opportunities.
Work Schedule: Not specified
Regional Considerations: Silicon Valley has a competitive talent market with emphasis on innovation and rapid growth.
ASSUMPTION: While the job listing doesn't specify remote work options, many Silicon Valley tech startups have adopted hybrid or flexible work arrangements post-pandemic. The role likely involves some on-site presence for cross-functional collaboration and community building efforts.
Typical Process: For AI/tech marketing roles at startups, the interview process typically includes initial screening, marketing strategy assessment, portfolio review, and team fit evaluation.
Key Assessment Areas: Growth marketing experience, community building track record, familiarity with AI tools, ability to translate technical concepts into compelling marketing narratives.
Application Tips: Highlight measurable growth outcomes from previous roles, demonstrate understanding of AI technologies, showcase community building experience, and emphasize ability to work in fast-paced environments.
ATS Keywords: AI marketing, growth marketing, community building, marketing automation, technical marketing, startup marketing, content strategy, data-driven marketing, GTM strategy, marketing analytics.
ASSUMPTION: These insights are based on industry standards for similar roles at technology startups. The actual interview process may vary based on Kumo's specific hiring practices.
AI content generation tools, marketing automation platforms, analytics tools, CRM systems, community management platforms, social media management tools, email marketing platforms, SEO tools, data visualization software.
ASSUMPTION: These tools represent industry-standard marketing technology stack for growth and community roles. The specific tools used at Kumo may differ, but familiarity with these categories of marketing technology would likely be valuable.
Company Values: Innovation, technical excellence, maximizing data value, solving complex problems.
Work Style: Fast-paced, entrepreneurial, autonomous yet collaborative, adaptable to ambiguity and rapid change.
Self-Assessment:
ASSUMPTION: These cultural elements are inferred from the job description's emphasis on "startup environment," "self-starter," and "ability to scale marketing efforts from the ground up." The company's mission to transform how businesses leverage data for machine learning suggests a culture that values innovation and technical excellence.
The role appears to span multiple marketing disciplines (growth, community, content) which could lead to broad responsibilities and potential scope challenges. As potentially an early marketing hire, you may need to establish marketing infrastructure and processes while simultaneously delivering results. Marketing technical products to both technical and non-technical audiences requires nuanced communication skills.
ASSUMPTION: These potential challenges are based on the broad scope of responsibilities listed and the startup context mentioned in the job description. They represent considerations rather than definitive claims about the role's difficulties.
This AI Marketer - Growth & Community role combines elements of several distinct positions typically found in larger organizations: Growth Marketing Manager, Community Manager, and Technical Marketing Manager. Unlike pure growth marketing roles that might focus exclusively on acquisition metrics, this position emphasizes community building and technical product marketing. Compared to general marketing roles, this position requires deeper understanding of AI technologies and the ability to communicate with technical audiences.
ASSUMPTION: This comparison is based on standard industry patterns for marketing roles in the technology sector.
Based on the listed responsibilities, someone in this role might work on:
ASSUMPTION: These projects are illustrative examples based on the responsibilities listed in the job description and typical growth and community marketing initiatives in AI startups.
ASSUMPTION: These questions are suggested based on the role type and may need adaptation for specific interviews.
⚠️ This enhanced job description was AI-generated based on the original job listing. Information has been organized and supplemented with industry-standard insights where details were not provided. All assumptions are explicitly labeled. Applicants should verify all details directly with the employer before making decisions based on this content.