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 drives acquisition and revenue growth by managing the complete performance marketing funnel—from paid media strategy and campaign optimization to lifecycle engagement and retention tactics. Growth Marketing Managers in AI companies focus on reaching technical and executive audiences for products like enterprise AI platforms, generative tools, and agent infrastructure, using data-driven testing across channels like LinkedIn, Google Ads, and email to prove ROI and scale what works. They sit at the intersection of strategy and execution, owning budget allocation, creative testing, attribution, and cross-functional collaboration with sales, product, and analytics teams to turn marketing spend into measurable pipeline and customer outcomes.
Field Marketing Manager
This role orchestrates regional field programs—from executive dinners and conferences to account-based marketing initiatives—that generate pipeline and accelerate deals for enterprise AI buyers. Unlike broader demand generation roles, Field Marketing Managers are deeply embedded with sales teams, designing every program around specific account priorities and conversion metrics rather than brand awareness. They sit in cross-functional teams within GTM organizations, balancing strategic program design with hands-on execution, vendor management, and rigorous attribution to demonstrate business impact.
Brand & Communications Manager
This role develops and executes communications strategies for AI companies, translating complex technical capabilities and business initiatives into compelling narratives for distinct audiences—whether media, executives, policymakers, or enterprise buyers. Day-to-day work spans writing keynotes and bylines, building journalist relationships, managing product launches and crisis moments, and shaping how leadership communicates their vision. What sets these roles apart is their strategic focus on connecting what the company actually builds to what external audiences care about, often serving as the connective tissue between technical teams and public-facing narrative. These managers typically sit within dedicated communications or brand functions, partnering closely with product, engineering, and go-to-market teams while reporting to heads of communications or brand leadership.
Content & Social Media Manager
This role creates and distributes content across multiple formats and channels to build awareness and engagement for AI products, translating complex technical concepts into compelling narratives that resonate with developers, founders, and enterprise audiences. The Content & Social Media Manager produces everything from social posts and thought leadership to customer stories, guides, and campaign materials, often working hands-on across writing, editing, and strategy. What sets this work apart is the deep product knowledge required—these professionals must understand the AI capabilities they're explaining, work closely with technical teams and founders, and measure success not just in vanity metrics but in driving real business outcomes like pipeline, community growth, and category positioning. Typically embedded in fast-growing AI companies with small, scrappy content teams, these roles sit at the intersection of product marketing, communications, and community building.
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 executes Artificial Intelligence company events—from webinars and product launches to customer conferences and sponsored activations—with focus on demonstrating complex AI capabilities to technical and business audiences. Managers in this position own the full lifecycle from strategy and speaker recruitment through live production and ROI measurement, often serving as both organizer and on-stage presenter to bring AI products to life. What distinguishes this work is the deep product knowledge required; these managers must understand their AI systems cold enough to translate sophisticated technical features into compelling narratives that drive qualified pipeline and customer activation. This role typically sits within marketing teams at scaling AI companies, collaborating closely with Product, Sales, Engineering, and Customer Success to turn events into repeatable demand-generation engines.
Marketing Leadership
Marketing leaders at AI companies own the end-to-end function that translates cutting-edge AI capabilities into compelling market narratives and revenue growth. They build teams and establish operating systems to execute strategy across demand generation, product positioning, brand, and regional go-to-market motions—whether managing global portfolios, scaling regional operations, or launching new product categories. Their impact spans from establishing what makes their AI defensibly different in crowded markets, to architecting sales enablement for complex enterprise deals, to sequencing market investment where signal is strongest. These roles sit at the intersection of product vision, sales strategy, and customer insight, partnering closely with executives across GTM, product, and leadership to ensure marketing delivers both cultural moments and measurable pipeline.
Partner Marketing Manager
This role focuses on designing and executing joint go-to-market programs with technology partners, cloud providers, and strategic ecosystem players to drive adoption of AI products and services. Partner Marketing Managers translate partnership opportunities into integrated campaigns spanning co-marketing, events, enablement, and demand generation, working across product, sales, and communications to create measurable pipeline impact. They sit at the intersection of partnerships and marketing, serving as the primary connective tissue between internal teams and external partner organizations, building repeatable programs that scale across diverse partner types and regions while maintaining accountability to pipeline and revenue outcomes.
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.
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.
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.
Recent Jobs
The latest Marketing openings across the AI industry.