Product Manager, Enterprise Solutions (Forward Deployed)

Enterprise Solutions is Meta's forward-deployed engineering team, deploying Meta Business Agents directly at enterprise customers. Our LATAM pods embed small teams (a PM plus engineers) with clients to design, build, and launch AI agents on Whats App, then turn what we learn into reusable product and platform. As a forward-deployed Product Manager, you will own enterprise customer deployments end to end, working on-site with clients across Latin America.
Product Manager, Enterprise Solutions (Forward Deployed) Responsibilities
Be responsible for leading and driving a complex product area; defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context.
Adapt and adjust your strategies to reflect learnings and changes in context.
Embed with enterprise clients as the product owner of their Meta Business Agent deployment, from first use-case scoping through launch and expansion.
Own a customer engagement end to end: define the use case and success metrics with the client, design the agent solution, and drive it to production with your pod (SWE, DE, and BE or PE partners).
Hill-climb agent quality in the client’s environment: build and run evals, diagnose failures, and iterate the agent to hit task-completion and quality targets.
Run two to three client engagements in parallel, moving fast and rotating between customers as priorities shift.
Partner with Sales and Business or Partner Engineering to shape scope before anything is signed, and hand back to steady-state after launch.
Turn bespoke client learnings into reusable product and platform feedback for the Business Agent product and shared tooling.
Travel to client sites in-region for discovery and co-build immersions.
Critically evaluate when AI is (and isn’t) the optimal solution for a client’s problem, with sophisticated articulation of tradeoffs, risks, and second-order effects.
Demonstrate deep understanding of system and architecture trade-offs and how they impact client outcomes; lead credible technical discussions with engineering partners.
Use AI-native practices (evals as a first-class discipline, data strategy, building with AI tools) to accelerate deployment and quality.
Communicate progress, risks, and outcomes clearly to client executives and internal leadership.
Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices.

Minimum Qualifications:

8+ years of relevant experience, with at least 3 years in product management or a client-facing/ forward-deployed role
Track record of taking multiple AI or software products from pilot to scaled production, ideally across more than one client
Bachelor’s degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences)
Experience owning a customer or engagement end to end and working hands-on with engineers to deliver
Experience working with a cross-functional product team on a significant product area: crafting product vision and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals
Demonstrated experience using AI-enabled tools to build product artifacts, and developing AI-native strategies including evals and data strategies
Demonstrated experience analyzing large-scale, complex data sets and making effective decisions based on data
Demonstrated experience in communication, bringing extreme clarity to complex and technical messages at the appropriate level for the audience

Professional fluency in Portuguese and English:

Willing to travel to client sites in-region

Preferred Qualifications:

Consulting or forward-deployed background (e.g., Palantir-style embedded delivery, systems integration, or solutions engineering)
Managing technical relationships with client executives or strategic partners
Abstracting bespoke enterprise feedback into reusable product features
Familiarity with enterprise data infrastructure, connectors, and how well-structured data enables AI outcomes
Experience with AI-native strategies including evals and data strategy
Track record of managing Fortune 500 C-suite relationships and building or codifying a repeatable deployment playbook that other pods reuse
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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
In Brazil, Meta is committed to hiring people with disabilities for its workforce. Therefore, in accordance with Brazilian Law No. 8213/91, qualified candidates that meet the definition of having a disability or being rehabilitated by the Social Security Agency, as defined by local legislation, will have preference in the hiring process.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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