Marketing
Building awareness, generating demand, and shaping brand. Covers content marketing, demand generation, growth marketing, product marketing, brand, marketing operations, SEO/SEM, social media, communications/PR, events, developer relations/DevRel (when marketing-led), and community management.
Roles
The canonical roles within Marketing.
Product Marketing Manager
Product Marketing Managers at AI companies develop positioning and messaging strategies that translate complex AI capabilities into compelling narratives for target audiences. They own go-to-market strategy for specific products or verticals, working closely with product, sales, and engineering teams to launch features, build sales enablement, and drive adoption. What distinguishes this role from general marketing is its deep focus on understanding buyer and user needs, competitive dynamics, and product differentiation—requiring both technical fluency and strategic thinking. These roles typically sit within dedicated product marketing functions that report to heads of marketing or chief marketing officers, operating as cross-functional partners who shape not just how products are communicated but how they're packaged and positioned in market.
Growth Marketing Manager
This role manages the full customer acquisition and retention funnel for AI products, moving beyond traditional campaign execution to architect scalable growth systems. Growth Marketing Managers own paid channels, lifecycle campaigns, and experimentation programs—translating performance data into iterative improvements across acquisition, onboarding, and retention. They sit at the intersection of marketing, product, and data, partnering closely with engineering and sales to optimize conversion rates, reduce friction, and maximize lifetime value. The role thrives in fast-paced, metrics-driven teams at AI companies where growth is a cross-functional responsibility.
Field Marketing Manager
This role develops and executes regional marketing programs that drive enterprise pipeline and sales acceleration across priority accounts and target markets. Field Marketing Managers design hands-on experiences—from executive dinners and sponsored conferences to community-building initiatives and account-based activations—that create meaningful engagement with technical buyers and economic decision-makers navigating complex AI infrastructure and software decisions. Unlike demand generation specialists focused on digital channels or product marketers shaping messaging strategy, this role bridges sales and marketing through on-the-ground execution, managing logistics and relationships to convert high-value opportunities. These positions typically sit within regional or field marketing teams, reporting to senior marketing leaders and working closely with sales leadership, revenue operations, and cross-functional growth teams to align every program to measurable pipeline outcomes.
Brand & Communications Manager
This role shapes how the world perceives an AI company by developing brand strategy, creating compelling content about technical breakthroughs, and managing external relationships with journalists and industry influencers. Unlike pure product marketing roles, Brand & Communications Managers focus on corporate perception and long-term reputation rather than driving immediate product adoption or sales pipeline. They typically sit within a dedicated communications function, working cross-functionally with engineering, product, policy, and executive leadership to translate complex AI work—from voice agents to infrastructure to safety research—into narratives that resonate with diverse audiences including media, policymakers, developers, and the general public.
Content & Social Media Manager
This role develops and executes content strategies that translate complex AI capabilities, product innovations, and company narratives into compelling stories across owned and social channels. Unlike purely social-focused roles, this position bridges editorial leadership with demand generation, combining long-form thought leadership and technical storytelling with community-building efforts to reach developers, enterprises, and industry audiences. Typically embedded within marketing or communications teams at AI infrastructure and product companies, this role partners closely with product, research, and GTM functions to identify high-impact narrative moments and ensure content drives both brand authority and measurable business outcomes.
Developer Relations & Advocacy
Engineers in this role serve as the bridge between AI infrastructure or platform companies and their developer communities, creating technical content, building hands-on demos, and gathering feedback to drive product adoption. They spend their days writing tutorials and guides, constructing sample applications that showcase real-world AI workloads, engaging directly with developers across community channels, and speaking at conferences to educate technical audiences. What distinguishes this role from marketing or product positions is its hands-on, builder-first approach—these engineers write production-quality code and maintain deep technical fluency with their company's products, translating complex AI capabilities into accessible learning experiences. Developer Relations typically sits within cross-functional teams that report to product, marketing, or engineering leadership, serving as the connective tissue that brings developer insights back to product teams while helping engineers and startups understand how to integrate AI infrastructure, models, or platforms into production systems.
Events Marketing Manager
This role orchestrates the full lifecycle of marketing events—from strategy and vendor management through on-site execution—for AI companies building transformative products. Events Managers coordinate across sales, product, and marketing teams to deliver conferences, webinars, and sponsored activations that drive pipeline and brand visibility, often managing budgets, tracking ROI, and scaling programs as the company grows. What sets this role apart is its focus on operational excellence and measurable business impact; these managers don't just execute logistics but design experiences that connect audiences to the company's AI mission and translate attendance into quantifiable outcomes. Typically embedded within marketing departments or as part of dedicated events teams, Events Managers partner with senior leadership, creative studios, and cross-functional stakeholders to ensure each program reflects the company's positioning in a rapidly evolving AI landscape.
Community Manager
Community managers at AI companies own the full lifecycle of user engagement—from identifying power users and running events to creating educational content and surfacing product feedback. They distinguish themselves by treating community as a measurable growth and retention lever, not just a soft engagement function, and by combining event execution with content production and ecosystem partnership. These roles typically sit within marketing or growth teams, partnering closely with product and sales to convert community participation into activation, expansion, and long-term customer value.
Customer Marketing Manager
This role develops and executes customer storytelling strategies that turn an AI company's existing customer base into a growth engine. Managers in this position conduct customer interviews, produce case studies and video content across multiple formats, and build advocacy programs like reference networks and champion communities that support sales, product launches, and demand generation campaigns. They differ from product marketers by focusing entirely on customer voices and proof points rather than product positioning, and from content marketers by deeply embedding in GTM motion and measuring success by pipeline influence and deal acceleration. These managers typically report into marketing leadership and work cross-functionally with sales, product marketing, and customer success teams to identify high-impact storytelling opportunities and ensure customer narratives reach the right audiences at critical business moments.
Partner Marketing Manager
Partner Marketing Managers at AI companies design and execute marketing programs that involve external counterparties—technology and channel partners on one end, named customers and reference accounts on the other. In practice, the role at AI companies frequently centers on customer marketing and advocacy work: producing case studies and customer testimonials, managing reference programs and customer councils, and orchestrating customer-led content for launches and events. Co-marketing with technology partners—joint webinars, integrated campaigns, partner-facing collateral—runs alongside this, but the customer-storytelling dimension is often where the bulk of the work sits. These roles typically sit within product marketing or partnerships functions, partnering with sales, customer success, and partner managers on the relationships that feed the program.
Marketing Leadership
Marketing leaders in AI companies own the full go-to-market function—developing strategy across brand positioning, demand generation, content, and product marketing while building and scaling high-performing teams across regions or functions. They balance hands-on execution with strategic vision, translating complex AI capabilities into compelling narratives for enterprise buyers and technical audiences. These leaders partner closely with sales, product, and executive teams to align messaging, optimize conversion funnels, and drive pipeline growth, operating as key business strategists rather than purely execution-focused marketers.
Marketing Operations & Analytics
Marketing Operations & Analytics roles at AI companies own the systems and reporting that connect marketing investment to pipeline and revenue—marketing automation platforms, CRM configuration, lead routing and scoring, attribution models, and the dashboards that surface campaign performance. In practice, the role frequently extends into hands-on demand-generation work, particularly paid-media campaign management, lead-funnel optimization, and lifecycle program execution—the boundary with demand generation is blurry, with many companies expecting one team or person to cover both. These roles typically sit within marketing operations or RevOps functions, partnering with sales operations, finance, and demand generation to keep marketing data clean and decisions data-driven.
Recent Jobs
The latest Marketing openings across the AI industry.