Product Manager - Software
We’re looking for a Senior Product Manager with an excellent data analysis capabilities to join the Products Management team and lead the expansion of our analytics product.
The PM will also be responsible for analyzing products' usage data and integrating insights into our product decisions.
In this role you will be the driving force accompanying all product phases from design to release, working closely with development and support departments, and with partners and customers worldwide towards building the next products that will make a difference in thousands of dairy farms.
You'll become an expert in Afimilk's product lines, understanding requirements and define insights that answer strategic and tactic questions; enhance existing insights to increase impact, improving user experience and products' adoption, measure the products success and provide visibility of our data to different disciplines in the company
You will work with Researchers, Data scientists, Designers, SW development Business and Product teams to identify customers' needs, define solutions, determine metrics, monitor performance, set priorities and meet project goals,
You'll translate broad questions into tangible plans for research and discovery, perform data exploration, and craft narratives from data insights
You’ll own and design the product data roadmap strategies, build processes and data sets from the ground up.
You’ll champion best practice experimentation methodologies and analyze results
At least 3 years of product management experience, preferably in a SaaS company and B2B and/or B2B2C
2+ years of work experience with management software products such as BI, managers' dashboards, reporting system, or data analysis products.
Experience with a data visualization tool (such as: Qlik, Looker, Google/Adobe analytics, Tableau or comparable) and experience with manipulating large datasets
Thorough understanding of organizational processes - experience working with internal R&D as well as with international sales and delivery team - from definition to launch
Deep understanding of end to end data flow, from data ingestion through analytics
Love to get deep into the weeds with data and understand edge-cases and how to best represent them
BS degree in a quantitative discipline: computer science, statistics, applied mathematics, operations research, engineering, economics