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Salary
≈ $163k – $331k per year (Estimated)
Location
In office (Menlo Park)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 5, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
We're looking for a Partner Marketing Manager with deep roots in the AI and ISV (Independent Software Vendor) ecosystem to drive co-marketing strategy and execution across our AI partner landscape. This role requires proven developer marketing and technical marketing experience; this is not a generalist brand or campaign role. This person will own end-to-end partner marketing programs from strategic planning through to measurement, with a particular focus on ISV partners who are building AI-powered products, integrating foundation models, and deploying AI solutions on our platforms. They will serve as the marketing voice in cross-functional partner relationships, deeply understanding how ISVs evaluate, adopt, and go to market with AI platforms.

They will operate in a fast-moving, rapidly changing environment where priorities shift quickly, making decisions with incomplete information and reprioritizing based on business impact. They will operate as an AI-native marketer, leveraging AI tools and workflows to move faster, generate deeper insights, and scale impact beyond what traditional approaches allow. Above all, they bring a genuine passion for AI, an understanding of the ISV business model, and an audience-first mindset and a deep understanding of technical audiences and translating complex AI capabilities into compelling stories that resonate with ISV developers, product leaders, and executives.

Responsibilities

Partner Marketing Strategy: Develop and execute integrated co-marketing plans with strategic ISV partners who are building on, integrating with, or deploying AI solutions using our platforms and APIs, driving mutual business outcomes including awareness, pipeline, adoption, and revenue ISV Ecosystem Development: Build deep, trust-based relationships with ISV partner marketing teams; understand their product roadmaps, AI adoption maturity, and go-to-market strategies to identify the highest-impact co-marketing opportunities Cross-Functional Orchestration: Lead cross-functional workstreams spanning product marketing, sales, developer relations, comms, events, brand and creative, aligning internal teams and external ISV partner counterparts on shared goals Campaign & Content Development: Design and deliver multi-channel campaigns (digital, events, thought leadership, case studies, technical webinars, developer workshops) that showcase joint AI solutions, highlight ISV integration stories, and drive measurable demand among technical and business audiences Measurement & Optimization: Define KPIs, build dashboards, and run post-campaign analyses to quantify partner marketing ROI; use data to continuously improve program performance AI & ISV Ecosystem Intelligence: Monitor the competitive AI landscape, ISV partner dynamics, foundation model ecosystem, and industry trends to identify whitespace opportunities and inform go-to-market strategy AI-Native Execution: Integrate AI tools into daily workflows; from research and content generation to campaign analysis and reporting and champion AI adoption within the broader marketing team Budget & Resource Management: Own the partner marketing budget, negotiate co-funding / MDF agreements with ISV partners, and manage agency/vendor relationships Executive Storytelling: Craft compelling joint AI value propositions and narratives for C-suite and VP-level ISV partner stakeholders; present at partner summits, AI industry events, and internal leadership forums Technical Audience Marketing: Develop and execute marketing programs specifically designed for technical audiences within ISVs developers, AI/ML engineers, solution architects, and platform builders. Understand their workflows, pain points, and decision-making processes around AI adoption. Create content that earns credibility with technical buyers (architecture guides, AI integration playbooks, model deployment tutorials, technical webinars) rather than generic brand messaging Navigating Ambiguity: Operate effectively in a fast-paced, constantly evolving AI landscape, making decisions with incomplete information, reprioritizing quickly, and maintaining momentum through organizational and market shifts

Qualifications

8+ years of marketing experience, with 6+ years in partner, channel, or alliance marketing at a technology company, ideally with significant exposure to ISV ecosystems Direct developer marketing experience, building and running programs aimed at developers (developer campaigns, DevRel partnership, documentation and tutorial content, SDK/API launches, hackathons, developer events and communities) Direct technical marketing experience, owning technical content and messaging such as architecture guides, integration playbooks, solution briefs, demos, technical webinars, and competitive/technical positioning for a platform or API product Proven track record of building and scaling co-marketing programs with ISV partners, technology platforms, or enterprise SaaS companies in the AI, cloud, or developer tools space Direct experience working with or at ISVs, understanding their business models (SaaS licensing, platform dependencies, channel dynamics) and how they evaluate and adopt AI platforms Experience managing marketing budgets and co-investment frameworks (MDF, joint funding) with ISV and technology partners Strong analytical skills, comfortable building business cases, defining measurement frameworks, and making data-driven decisions Exceptional written and verbal communication; ability to influence senior executives internally and at ISV partner organizations Experience working in matrixed, global organizations with the ability to drive alignment across diverse stakeholders Demonstrated ability to thrive in fast-paced, high-growth environments with shifting priorities and ambiguity Deep passion for AI and genuine curiosity about foundation models, generative AI, AI agents, and the rapidly evolving AI ecosystem Technical acumen with the ability to understand AI/ML concepts, APIs, SDKs, model architectures, and platform integrations well enough to credibly engage with engineering and product counterparts and translate technical AI capabilities into marketing narratives Proven experience in marketing to technical audiences (developers, AI/ML engineers, solution architects, IT leaders) with a portfolio of work that demonstrates an understanding of how technical buyers evaluate and adopt AI technologies Experience in B2B technology marketing at AI-focused companies or major platform companies or at an ISV that built on these platforms Experience in a high-growth or hyper-scale technology company where speed and adaptability were essential Deep background in AI/ML, foundation models, generative AI, or enterprise AI platform ecosystem Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with ISV partner programs at scale (e.g., technology alliance programs, ISV accelerators, marketplace listings). MBA or an advanced degree in marketing, business, or a related field Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Familiarity with the AI developer tooling landscape (model APIs, fine-tuning platforms, vector databases, AI orchestration frameworks) Prior experience at or marketing to ISVs, particularly those integrating AI capabilities into their products or building AI-native solutions

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