Product Manager

About Focal Systems: Focal Systems is the premier, internationally recognized retail AI solutions pioneer, deep learning innovator, and computer vision platform leader on an absolute mission to fully automate and optimize brick-and-mortar retail operations worldwide. Headquartered in San Francisco, California, with major commercial operations in Canada and the United Kingdom alongside an elite technology-hub center in Poland, Focal Systems functions as a Deep Learning first enterprise. Deployed at scale within many of the largest multi-national retail chains on earth, the organization replaces traditional manual inventory tracking with real-world automated visual monitoring. Supported by elite investors and advisors, Focal Systems recruits exceptional talent to redefine the state-of-the-art and deploy deep learning models to the physical market confidently.

Position Overview

We are seeking a highly sophisticated, data-minded Product Manager to join our core global Product division in a full-time salaried remote capacity within Portugal. Reporting directly to the VP of Growth and Innovation, you will claim complete strategic and individual accountability for executing the product vision and defining the upcoming roadmap layers of our core B2B platform. Moving far beyond abstract design templates, you will embed alongside engineering, UI/UX design, and customer success teams to deliver features that empower global merchants to optimize brick-and-mortar store floors through data-driven decisions. This high-agency role demands a seasoned product manager who has felt the stakes of running data-heavy SaaS architectures, possesses robust data science literacy, and is eager to bridge technical abstractions with real frontline physical environment needs.

Key Responsibilities

• Strategic Roadmap Architecture: Lead, define, and expand the long-term strategic product roadmap for Focal Systems’ core data-heavy B2B SaaS platform layer.
• Model Performance Monitoring: Plan, analyze, and oversee key evaluation metrics tracking the accuracy, latency, and operational stability of our production computer vision models and data pipelines.
• SQL & Data Science Instrumentation: Query and explore relational database structures natively utilizing SQL, leveraging a data-driven mindset to discover optimization areas and performance bottlenecks.
• Cross-Functional Vision Execution: Partner tightly with cross-functional software engineers, platform designers, and customer success specialists to move product features from concept to production.
• Enterprise Client Integrations: Interface directly with technical leads at the largest retail enterprises worldwide, facilitating the seamless integration of our deep learning tools into their live operational processes.
• Rigorous Backlog Prioritization: Capture, organize, and prioritize platform feature requests, runtime bugs, and infrastructure updates, keeping clear documentation and project progress trackers up to date.
• Continuous Customer Discovery: Conduct frequent, qualitative client interview loops, field surveys, and on-site retail store visits to gather firsthand operational feedback from physical shop floors.
• Agile Product Iteration: Drive rapid software iteration cycles, balancing urgent client patches with long-term infrastructure health while staying aligned with our core business values.

Required Skills & Qualifications

• 3+ years of verified professional history running digital product management, software product marketing, technical systems analysis, or full-scale data platform delivery.
• 2+ years of dedicated experience operating in a Product Manager seat managing a data-heavy B2B Software-as-a-Service (SaaS) application layout.
• Demonstrated technical data literacy, highlighting hands-on history writing database queries using SQL and leveraging data science primitives.
• Proven capacity to manage a multi-quarter product roadmap, validate core use cases, and translate user feedback into clear technical system requirements.
• Prior experience executing within rapid-growth startup or scale-up business models with a strong baseline understanding of modern software development life cycles.
• Outstanding verbal and written communication mechanics, with an absolute capacity to cooperate smoothly across both technical development squads and non-technical business partners in fluent English.
• Willingness to Travel: Readiness to engage in localized and international travel for physical retail store discovery loops and executive client sessions.
• Location Context: Full-time parameters open exclusively to qualified product leaders permanently located anywhere within Portugal to operate 100% remotely via an established Employer of Record (EOR) framework.

Preferred Strategic Indicators (Nice to Have)

• A technical academic degree focused natively on Computer Science (CS), Electrical Engineering (EE), Mathematics, or Applied Statistics.
• Linguistic diversity featuring conversational or professional proficiency in the French and/or German languages to scale Central European marketplace paths.
• Conceptual or practical exposure to machine learning lifecycles, training data management, or computer vision model fine-tuning variables.

What We Offer

• Calibrated European Base Remuneration: An attractive full-time base salary structured transparently between €50,000 – €65,000 per year, supplemented by valuable corporate stock options.
• The exceptional professional canvas to directly direct, code-shape, and launch the deep learning computer vision platforms redefining physical retail across global markets.
• Profound work-from-home remote parameters providing a flexible schedule, independent workspace planning, and zero physical office travel friction within Portugal.
• Comprehensive health and security benefits, including dedicated pension plan enrollments in accordance with regional regulations.
• Generous time-off parameters encompassing flexible paid time off (PTO) allocations alongside structured parental leaves and dedicated paid sick leave.
• Access to a dedicated personal corporate Learning and Development budget to fund advanced data science workshops, product management certifications, and technical books.