Elected as the most innovative startup at Big Data Paris, La Javaness develops AI-native business solutions for large corporate and public organizations. We believe that AI will power organizations tomorrow as electricity powers machines today. Our AI products aim to augment smart organizations, by adding predictive intelligence to their business processes and automating low value-added tasks. Thanks to Predictor Solutions, businesses benefit from intelligent predictions to make real-time smart pricing, personalize customer experience, predict demand, or detect fraud. Otto Solutions bring cognitive automation to free people from repetitive and uninteresting tasks, whether in processing massive emails, documents or images.
While AI and machine learning are the key technological enablers of our products, they are not the reason why these products exist. Our products exist because they solve a tangible business problem, because they deliver a clear ROI for our clients, and because there is a sizable market potential. And our products succeed when the end users use them at ease in their processes and IT environment, and when the business owners and C-suite see the business value delivered.
AI product strategist works closely with La Javaness multidisciplinary team to bring our products to life. This starts from opportunity analysis, the product creation, go-to-market, first pilots, client deployments to scaling the product in the markets.
The product strategist needs to gain not only a high-level view of market opportunities and trends, but also a detailed understanding of business needs, technology and data landscape at individual client level. You are adept at capturing business problems and AI opportunities across any sectors, whether it is banking, insurance, retail, e-commerce or travel industry. You ask good questions and communicate effectively with clients whether they are business owners, data or IT specialists to obtain multifaceted and actionable insights. You create compelling product pitches and client proposals. You collaborate with data scientists, engineers and designer, and turn their complex technical concepts into clear and concise business language. You don’t stop there. You go to lengths to have every person mobilized, every question answered, and every to-do executed to deploy a product.
In this role, you are expected to:
Write compelling product pitches and produce product marketing products, in collaboration with business leaders, data scientists and designers. Develop client case studies, thought leadership articles and posts.
Create effective presentations for prospective client roadshows, meetings, proposals and RFPs with a winning strategy.
Prepare for, animate and follow up client meetings.
Animate internal cross-functional product team in the product development process.
Plan for product’s go-to-market and organize its execution with the teams.
Support clients in the AI discovery phase and be the person of reference in AI subjects: the client can count on you to acquire AI knowledge and get their questions clarified. You give expertise advice to help them identify relevant use cases and build a business case and roadmap for AI implementation.
Manage the Proof-of-Concept phase: you lead the framing of the POC, ensure successful delivery and client engagement throughout the POC, design a product deployment strategy and plan.
Contribute to client engagement from selling to deployment.
Collect and analyze clients/market feedback.
Conduct market watch and gain updated insights of AI use cases, corporate AI strategies and technology breakthroughs across sectors, as well as benchmark of leading technology providers and AI startups.
Contribute to building our image in the AI ecosystem: organize our participation in industry related exhibitions and PR events, eg. Salon Big Data, AI Paris, meetups…
Entrepreneurial spirit and flexibility. Appetite for working in an unstructured environment on diverse and distinct topics. Ambition to build something from zero to one. Flexibility to adapt oneself to different client situations and internal working cultures.
Demonstrated passion for data and AI. You enjoy learning and discussing complex technical topics. Knowledge in machine learning is a plus.
Excellent business writing and communication skills in French and English. Additional languages are appreciated.
Project management skills especially in multidisciplinary teams. Strong execution and prioritization, you get things done and don’t leave it open forever.
At least 5 years of experience in B2B environment and with large corporates.
Experience in top-tier strategy or technology consultancy is a plus.
BS/MS in business or engineering, or equivalent BAC+5