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 requirements
and Netra dyne engineering.
- Respond to the technical questionnaire for large prospect RFPs.
- Communicate extensively with key customer account stakeholders (business and technical) and
internal 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 those
to 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 potential
architectural 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 Be the SME on published and unpublished product functionalities.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.
