Partner Solutions Manager, Tech Provider Ecosystem

MetaMenlo Park, CaliforniaOn-siteFull-timeStaff, 8–12 yearsListed 1 day ago

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About this role

The Monetization Partnerships team helps build, improve, and drive products to market to grow incremental revenue and reduce costs for Meta. The team works with partners across a diverse global ecosystem, and the Partner Solutions Management team is responsible for translating insights into scalable solutions that accelerate partner growth.

Meta is seeking a Partner Solutions Manager to lead scaled engagement with Meta's tech provider ecosystem, aka ISVs, as part of the Meta Business Agent priority. Tech providers integrate directly with Meta's business messaging APIs and build solutions that businesses use to reach and serve their customers, driving message volumes and direct revenue for Meta. They are one of the fastest-growing segments in Meta's partner ecosystem and carry increasing strategic value for Meta Business Agent. Serving this large partner base efficiently requires reaching thousands of partners with relevant, well-timed guidance, and this role will globalize the engagement approaches already proven in individual markets.

This individual will be expected to become the subject matter expert on the tech provider ecosystem, with a deep understanding of how these partners build, operate, and generate value for Meta. This individual should be comfortable operating with significant autonomy, adept at scoping and structuring ambiguous problems, and possess a technical acumen sufficient to evaluate and coordinate tooling deployment. Close collaboration with the relevant product teams and regular exposure to senior leadership is also central to the role.

Responsibilities

Identify high-potential tech provider segments through structured analysis and set the engagement strategy for each segment
Define the qualifying criteria and capabilities across markets to determine the tech providers Meta should invest in
Coordinate with the relevant teams such as Partner Marketing, Incentives, and Business Product Marketing to evaluate and improve the value exchange between Meta and the tech providers
Collaborate with Partner Marketing and Product to improve the onboarding journey for new partners with clearer entry paths, working collateral, and technical enablement sequenced so that partners reach first value quickly
Influence data engineering and data science teams to define and build a consistent global attribution methodology for partner-driven revenue. Measure the success of partner contribution across regions to drive ecosystem investment decisions
Ensure that tech provider engagement initiatives are coordinated so that partners receive a coherent, well-sequenced experience of Meta rather than fragmented outreach
Segment tech providers by their product and delivery capabilities, and sequence outreach to build a two-way engagement channel where partners bring product feedback, and scaling needs, and in return drive value to Meta
Consolidate the engagement approaches that have demonstrated results in individual markets into a consistent global model while adapting for regional differences
Lead the development and launch of a certification and enablement architecture for the tech provider ecosystem
Partner with Incentives on defining proficiency criteria, curriculum scope and badging thresholds, sequencing partners through certification cohorts
Partner with Partner Marketing on launch communications, partner-facing collateral and adoption campaigns
Assess and shape the tooling and infrastructure to support this scaled partner engagement, developing clear recommendations and securing the cross-functional investment to deliver them
Build and own the partner intelligence layer for the tech provider ecosystem, tracking information such as capability, performance, engagement history, partner feedback, and proof
Leverage learnings from engagement outcomes to equip the org's partner managers with insights and standardized best practices for their own managed partners
Own the global point of view on where the tech provider ecosystem is headed. Systematically gather market intelligence across regions (i.e., from regional partner leads, partner conversations, event presence, and competitive movements) and bring leadership a clear read on the implications for Meta's ecosystem strategy

Qualifications

BA/BS degree in a relevant field (e.g., Business, Engineering, or related discipline)
Experience taking initiatives from early concept through to scale, defining the strategy, executing, and managing post-launch
Experience designing and running scaled or one-to-many partner engagement models, including segmentation, engagement design, program economics, and measuring impact
Proven experience influencing product and cross-functional partners to commit and deliver against shared roadmaps
Experience navigating ambiguity and complexity to deliver outcomes with limited direction
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated analytical skills to segment audiences and build recommendations
Experience communicating strategies, results, and recommendations to cross-functional partners and senior leadership
Experience working effectively with global stakeholders across multiple time zones Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience scaling an engagement approach across multiple markets or regions
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience driving partner or channel programs at an enterprise technology company with an established partner ecosystem
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Knowledge of the business messaging ecosystem and Meta's messaging products
Experience working with technology partners, developers, or platform ecosystems that build on third-party APIs