Freelance Product Manager
Buenos Aires, Argentina
About WPP Production
We are WPP Production - the unified global production company that brings together all of WPP's content producers, studios and craft experts into one connected organisation. We combine world-class human craft with next generation technology to originate, design, and deliver multi-channel content systems at scale. Built for borderless collaboration and powered by deep craft expertise, we are the production engine designed for today's always on, AI driven marketing world.
About WPP
WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.
A Hybrid working model
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four two a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.
Product Manager — AI‑Assisted Production Platform
Overview
You will lead the product strategy and execution for an AI‑assisted production platform that helps creative and production teams blending workflow integration, automation, and applied AI (including computer vision and generative approaches) to reduce cycle time, improve consistency, and minimise rework for the production process.
You will own the end‑to‑end product lifecycle: shaping the vision, defining the roadmap, aligning stakeholders, and partnering with engineering and applied AI teams to deliver reliable capabilities in a security‑constrained enterprise environment.
You will not be doing this alone. You will join a collaborative, high‑calibre team of engineers, applied AI/ML experts, delivery partners, and domain specialists who care about building things that work in the real world. The role is hands‑on and high‑impact, but it comes with strong support, kindness, and a shared bias for learning and continuous improvement.
This role is outcome‑driven. Success is measured by measurable production impact (time saved, adoption, etc.) and by building a platform that teams trust for real work.
What You’ll Do
Set product vision, strategy, and roadmap
- Define a clear product narrative that connects user outcomes, business impact, and technical direction.
- Translate discovery into a roadmap that balances quick wins, platform foundations, and long‑term bets.
Own outcomes and success metrics
- Define measurable goals such as throughput, cycle time reduction, defect rates, adoption, and rework reduction.
- Instrument the product and use data and qualitative feedback to guide prioritisation and iteration.
Deeply understand the workflow and integration surface
- Map end‑to‑end production journeys across teams and tools.
- Define integration requirements with existing workflow systems, asset libraries, and creative tooling APIs.
- Clarify source‑of‑truth boundaries, sync behaviours, and operational constraints.
Lead requirements definition
- Partner with users and SMEs to turn problems into well‑scoped requirements, user stories, and acceptance criteria.
- Define edge cases, fallbacks, and “definition of done” for AI‑assisted steps.
Partner tightly with engineering and applied AI
- Articulate the what and why and collaborate on the how.
- Ensure solutions are scalable, maintainable, and resilient under real production load.
- Drive pragmatic decisions on model usage, evaluation, and human‑in‑the‑loop workflows.
Run an effective delivery cadence
- Own backlog prioritisation and keep it transparent and ready.
- Collaborate with programme delivery to support agile ceremonies, clarify scope, and unblock teams.
- Lead sprint reviews and ensure delivered work meets acceptance criteria and quality bars.
Steer quality, risk, and governance
- Identify and manage risks, dependencies, and trade‑offs across product, data, and integration work.
- Drive readiness for audits and operational governance, including traceability and reporting.
Communicate with clarity across audiences
- Maintain alignment with client stakeholders and internal leadership.
- Produce crisp documentation: PRDs, decision logs, rollout plans, and release notes.
What You’ll Bring
Product leadership experience
- 5+ years in product management (or equivalent) delivering complex software products, ideally workflow or platform products.
- Demonstrated ability to lead ambiguous problem spaces from discovery through delivery and adoption.
Strong technical fluency
- Comfort discussing software architecture, APIs, integration patterns, and operational concerns.
- Ability to collaborate credibly with engineers and applied AI/ML practitioners.
Applied AI understanding
- Working knowledge of AI/ML concepts (for example: model evaluation, data quality, uncertainty, human‑in‑the‑loop design, and production monitoring).
- Practical understanding of where automation works well, where it fails, and how to design safe fallbacks.
Execution excellence
- Strong prioritisation, backlog management, and stakeholder alignment skills.
- Experience working in agile teams and shipping iteratively with clear success criteria.
Communication and influence
- Excellent written and verbal communication, including the ability to simplify complex topics.
- Confidence engaging stakeholders across product, engineering, design, operations, and leadership.
Nice to Have
- Experience with creative production workflows, asset pipelines, or design tooling ecosystems.
- Experience building enterprise software in security‑constrained environments (auditability, access controls, restricted tooling, environment separation).
- Experience defining quality frameworks for automated outputs (for example: visual diffs, heatmaps, review queues, sampling strategies).
- Relevant certifications (for example: CSPO) or advanced degrees in a technical discipline.
#LI-Hybrid
#LI-BS1
Why work here:
At WPP Production, you’ll help shape the future of content production at a truly global scale. We bring together world-class talent, cutting-edge studios, and advanced technology to solve some of the most complex creative and production challenges in the industry. You’ll work in a collaborative, borderless environment where craft excellence is valued, innovation is encouraged, and AI and next-generation tools are used to amplify not replace human creativity. With access to diverse projects, global career opportunities, and the backing of WPP’s unmatched network, this is a place where you can grow your skills, make real impact, and create work that performs for every audience, across every channel, at every moment.
Inclusion and Impact
WPP is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
Data
We rely on legitimate interest as a legal basis for processing personal information under the GDPR for purposes of recruitment and applications for employment. When you click the "Submit Application" button at the bottom of this page, this will send all the information you have added to WPP Production. Before you do this, we think it's a good idea to read through our Privacy statement. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.
Please contact [email protected] if you need the job advert or form in another format.