Want to work on one of the most exciting and innovative fields of technology in the recent years? Want to shape the future of Conversational AI and build impactful products around it? We're looking for talented and motivated people to join our team and push frontiers!
As the Product Manager at Wluper, you will devise strategy, develop product requirements, and oversee execution using your deep knowledge of the market, the product and the competition while staying at the forefront of the rapidly changing AI/NLP field.
You will act as the primary driver for identifying significant opportunities and leading product vision, strategies and roadmaps in the context of broader organisational strategies and goals.
What you will do at Wluper
You will embody Wluper's ethos of absorbing our users' needs and preferences into our product, while also delighting them with a differentiated experience that helps them achieve their goals
You will crisply define the target for the engineering team, the "what" (as opposed to the how) and manage the delivery of the "what"
You will collaborate with numerous stakeholders (users, sales, technical teams, and the general market) in researching and defining product priorities
You will propose improvements in line with the technical objectives of the engineering organisation, promoting and driving forward our technology roadmap
You will ensure that all the right steps are being followed from conceptualisation through to launch and use
You will define requirements for new/existing features and functionalities, contributing to the overall vision and direction
You will provide guidance to the engineering team, as well as functional and technical documentation to ensure the right product gets delivered with each release
You will create appropriate training courses and provide sales and marketing teams insights to position product offerings with customers and prospects
Please keep in mind that we are describing the background we imagine would best fit the role. However, even if you don't meet all the requirements, yet you are passionate about this opportunity, we would love to get to know you.
What you will bring to the Wluper team
5+ years defining, building, and managing platform-based ML/NLP products or services and API platform strategies within SaaS
Experience driving product vision, go-to-market strategy, and design discussions
Ability to translate requirements into clear user stories and communicate them articulately to engineering and design teams
Ability to influence and build consensus across a broad range of backgrounds, organisational levels, and personalities to build scalable products and deliver business results
Experience of going through a full product lifecycle, integrating customer feedback into product requirements, driving prioritization and pre/post-launch execution
Experience prototyping, iterating on, evaluating, and scaling large-scale ML/NLP systems and connecting ML value propositions to actual user problems
Experience developing and successfully owning key product metrics linked to company performance, and analysing and pulling meaningful insights from quantitative and qualitative data
Knowledge of multiple functional areas (e.g., Product Management, Engineering, UX/UI, Sales, Customer Support, Finance or Marketing)
Experience with NLP techniques along the ML life cycle (Problem Formulation, Data Gathering, Data Annotation, Training, Testing, Deployment, Analysis)
Nice to have for this role
Experience with ML libraries such as TensorFlow and PyTorch
Experience implementing a data-driven approach by incorporating data, research, and market analysis to inform product strategies and roadmaps
Experience using Agile methodologies
What we offer at Wluper
Flexible hours and a working from home policy.
26 days paid holiday per year, plus bank holiday.
A MacBook Pro, and other tech that supports you doing your work.
Participation at training workshops, 1-on-1 sessions, conferences, and events.
Regular (remote) team events as well as regular (remote) social events.
When on-site, healthy snacks and breakfast as well as coffee, tea, and drinks.