Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough…
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
As a Cognyter Pre-Sale Manager, you will:
Lead solutions/presale activities for innovative Big Data & Fusion Analytics platform for the Security, Public Sector, Civil, Financial and Critical Utilities segments
Manage customer-facing activities, including commercial and technical sessions, product demonstrations and presentations
Provide input and assisting account managers on all commercial and technical components related to accounts
Support sales enablement, product presentations and POCs for prospects, customers, and distributors.
Lead the RFx response team throughout the sales cycle, including requirements mapping, high-level solution design, solution sizing, budget, and pricing strategy.
For that mission you’ll need:
5+ years’ experience as presale/solution engineer in a global high-tech company - advantage
Ability to work independently as customers technical/presale key focal point, while promoting company goals
Excellent English communication and presentation skills
Proven public speaking skills, capable of delivering technical presentations to both technical and executive audiences
The position requires frequent travel in the associated territory (50% of the time)
Good business orientation, understanding company goals and striving to achieve them
Russian - Must
Preferred Skills and Experience:
Background in intelligence technologies and methodologies
Background in Big Data, Machine Learning, Fusion Analytics
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