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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in defining product strategy and roadmaps for AI platforms, with a strong focus on ML, LLM, and agentic systems. Proven ability to collaborate with engineering and product teams to implement governance and safeguards while maximizing ROI and ensuring safe AI deployment.
Highest-signal resume keywords
AI Platform StrategyMachine Learning ExpertiseProduct Management in AIStakeholder AlignmentGovernance and Safeguards
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningGenerative AIAgentic SystemsProduct Roadmap DevelopmentAI DeploymentPlatform EngineeringGovernance StandardsCost Reduction StrategiesPerformance Metrics AnalysisTechnical Product Experience
Soft Skills
Influencing StakeholdersCollaborationProduct SenseLeadershipCommunication
Tools & Technologies
AI ToolsML ModelsGovernance FrameworksSecurity ProtocolsData Management Systems
Industry Keywords
E-CommerceFintechB2B SaaSAI-Native Businesses
About the role
Key responsibilities & impact- Define the mission, vision, strategy, and product roadmap for the AI platform across traditional ML, LLM, and agentic systems, working with multiple engineering teams
- Increase the return on investment in ML and LLMs, and set the direction for building and scaling agents across internal and external workflows
- Provide product teams with a trusted foundation to build, learn, and ship AI safely at scale
- Implement safeguards and controls, including standards, governance, and guardrails for building, to ensure safe shipping
- Reduce the cost of building and running AI across the company
- Demonstrate and increase the ROI of AI investments, showing impact on business metrics and delivering platform metrics around speed, safety, activity, and cost
- Collaborate with engineering managers and engineering, data, and product chapters to identify opportunities and pain points and understand teams' platform-building experience
Requirements
What you’ll need- Technical platform experience across ML, GenAI, and agentic platforms, including gateways, models, tools, memory, governance, and security
- Ability to set the direction for how agents are built and scaled across internal and external workflows
- Experience shipping AI and ML systems from a product, technical, or engineering background
- Excellent product sense in the fast-changing AI domain, with a drive to do product work, not just building
- Leading AI fluency, using AI to transform personal work and helping others do the same
- Proven ability to influence and align senior engineering, data, and business stakeholders, with credibility among data and engineering teams
- Hands-on experience in platform, AI, or ML engineering before moving into product (nice to have)
- Experience in tech or AI-native businesses, such as e-commerce, fintech, or B2B SaaS with critical AI features (nice to have)
Benefits
Comp & perks- A generous monthly allowance for lessons on Preply.com
- Learning & Development budget and time off for self-development
- Competitive financial package with equity, leave allowance, and health insurance
- Attractive relocation package to join the Preply Barcelona Hub if not already in Barcelona
- Access to free mental health support platforms
- Access to Gym-pass-partnered wellness and gym centres throughout Spain