Responsibilities –
- Drive one of the new product developments, product enhancements, customer deliverables or
internal projects.
Ensure success of key account deliverables by being the bridge between business requirementsand Netra dyne engineering.
Respond to the technical questionnaire for large prospect RFPs.Communicate extensively with key customer account stakeholders (business and technical) andinternal stakeholders (Engineering, Operations, Business) via all modes and all geographies.
Identify and proactively remove any potential roadblocks to customer success.Use interpersonal skills to develop strong internal and external relationships, and leverage thoseto improve collaboration.
Provide regular and proactive updates to Netra dyne Senior Management on Program progress.Understand technical requirements from customer and / or partner, and identify potentialarchitectural solutions to achieve the same, given knowledge of Netra dyne product architecture.
Collaborate internally to conclude on the architecture as necessary.Develop deep understanding of Netra dyne Product and Architecture. Be the SME on published and unpublished product functionalities.Apply statistical & machine learning expertise to map requirements to key metrics and targets (even though they aren't explicitly communicated by stakeholders).Manage project schedule by taking the nuanced / iterative nature of machine learning project lifecycle into account.Manage data annotation aspects including quality, productivity and logistics.Communicate with internal and external stakeholders on the schedule and quality of the machine learning projects.Skills Required
Product Development, Architecture, Project Managment