Product Manager

Aversan - Montréal, QC (il y a 30+ jours)

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Maximizing analytics value through productization of our AI/ML research at a regular cadence through agile product management;
Balance technical constraints and resource constraints and still deliver differentiating ML capabilities in the platform that clearly illustrate business value to customers;
Customer/Market to product technical translation: Translate product strategy and customer asks into technical stories and detailed requirements for the engineering team;
Work collaboratively with field-technology (CTO group), analytics research and engineering to define game changing AI//ML capabilities in our Ops-IQ product suite;
Work closely with platform architects & engineers of your domain and know how to build cutting edger capabilities incrementally using agile product management techniques with a strong focus and balance on the long-term AI/ML strategy;
Constantly evaluate the market penetration of your product, how to drive increased adoption, and improve the user experience;
Contribute to the product strategy and roadmap of ML initiatives to help drive the most impact to our customers in CSPs and IIoT domains;
Shipping enterprise-grade features that solve true customer problems and are able to prove business value by defining and tracking product success metrics and presenting to executives and customers at a regular cadence;

A degree in Computer Science/Software/Computer Engineering or a similar quantitative discipline;
At least five years’ relevant experience in software product management working in the big data analytics domain;
At least five years’ relevant experience in software product management working in the Communication Service Provider (CSP) domain;
Prior experience in a CSP operations role would be an asset;
Very strong story-telling skills: be able to look at a diverse set of information collected from sales, customers, market research, users, and synthesize them to create motivating customer-centric stories and detailed requirements for platform engineers;
A customer-first mind-set and obsess about why and how our customers use our platform and use these insights to keep customers' best interest in product decisions and overall backlog prioritization at all times;
A solid business to technology intuition using which you are able to identify the right analytics capabilities for business opportunities, make prioritization calls, and translate the customer/market needs to platform requirements;
Understanding of the network operations and service operations lifecycle and challenges in a typical CSP environment;
Familiarity with ML platforms, and ML algorithms and AI techniques;
Strong design skills, and can work with UX designers and customers to constantly define and improve on product usability;
At home with technologies such as Spark, Hadoop, ElasticSearch, DSML platforms;
Very good working knowledge about Cloud AI/ML platform capabilities across Azure, GCP and AWS and keep up with the latest market trends;
Strong familiarity with security and compliance environment large scale enterprises have to operate in and incorporate that In our products;
Well versed in building products using microservices, Service Oriented Architectures, and REST APIs and lean product development methodologies;
Strong communication skills, strong business acumen and great product instincts.