Product Manager for GenAI project (Agritech company)
Location:
Remote from Spain
Our customer is a leading global agricultural company dedicated to improving food security by enhancing crop yield and sustainability through innovative seeds and crop protection solutions. With a presence in over 100 countries, the company combines cutting-edge science and digital technologies to help farmers overcome climate challenges and grow more efficiently. It invests heavily in research and development, ensuring continuous advancements in sustainable farming and environmental stewardship.
Project Overview:
We are looking to hire a Senior AI Product Manager to support the development of AI-driven solutions in Global Digital Marketing team of a Leading Agricultural Company.
As the AI Product Manager for the dMAX Marketing Transformation, you will be the technical and product-centric leader at the heart of one of customer's most strategic initiatives. You will act as the critical bridge between the long-term strategic vision for AI in marketing and the hands-on, technical execution of the dMAX platform.
This is a role for a hands-on product leader who is passionate about building cutting-edge AI solutions. You will be responsible for the successful delivery of our initial MVP use cases and will own the product roadmap, ensuring we build a scalable, user-centric platform that delivers real business value. You will manage the day-to-day relationship with our development partners and internal IT teams, navigating the complexities of our data and technology landscape to bring our vision to life.
Requirements:
* Experience:
3+ years of experience in technical product management, with a proven track record of launching and managing complex AI/ML-powered products from concept to scale.
* Entrepreneurial Mindset:
A demonstrable entrepreneurial mindset is a firm requirement. You must possess a proactive, self-starting approach to innovation, be comfortable with ambiguity, and be driven to build new solutions from the ground up.
* Technical Expertise:
Deep, practical understanding of the modern AI/GenAI technology stack, including LLMs, fine-tuning methodologies, vector databases, RAG, and agentic frameworks.
* Cloud & Data Knowledge:
Solid understanding of data architecture, APIs, and cloud environments, preferably AWS.
* Agile & Vendor Management:
Expertise in agile development methodologies and experience managing relationships with external development partners and vendors.
* Strategic Thinker:
Ability to think beyond the immediate MVP and contribute to a long-term product and technology strategy.
* Collaborative Leader:
Exceptional communication and interpersonal skills, with the ability to operate effectively within a large, global corporate structure and act as a translator between technical and business teams.
* Problem Solver:
A pragmatic and results-oriented approach to solving complex technical and product challenges.
Optional:
* AI Startup Experience:
Previous experience as a founder or an early-stage employee in an AI-focused startup is a significant plus.
Responsibilities:
* Product Ownership & Delivery:
Take full ownership of the dMAX product backlog and oversee the agile development sprints for the two MVP use cases:
"Automated Research & Briefing" and "Automated Creative Asset Production." Ensure on-time, on-budget, and high-quality delivery.
* Technical Liaison & Partner Management:
Serve as the primary day-to-day technical point of contact for the Accenture development team and internal Syngenta Tech/IT and security leads. Ensure requirements are clearly understood and technical challenges are resolved efficiently.
* AI Technology Strategy & Innovation:
Stay on the cutting edge of the rapidly evolving AI landscape. Evaluate new technologies, models (LLMs), and techniques (fine-tuning, RAG) to inform the long-term dMAX roadmap and ensure our platform remains competitive and effective.
* Requirements Management:
Work with marketing stakeholders to translate their strategic business needs into detailed technical requirements, user stories, and clear acceptance criteria for the development team.
* Scalability & Data Architecture:
In partnership with AI Data Engineers and Cloud DevOps Engineers, design a clear plan for the future of our data and the scalability of the dMAX platform. Address and solve challenges related to data access, API integration, and deployment in Syngenta's AWS environment.
* User-Centric Approach:
Champion a product- and user experience-oriented approach to development. Ensure that the solutions built are not only technically robust but also intuitive and valuable for the marketers who will use them every day.
* Validation & Transition:
Coordinate the "Validation & Transition" workstream, ensuring rigorous testing, quality assurance, and a smooth technical handover of the MVPs from our development partner.
* Future Team & Operating Model:
Collaborate on the design of the future in-house AI marketing team, helping to define the roles and capabilities needed to support and scale dMAX globally.