Responsibilities –
- Drive 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and unpublished product functionalities.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.
Essential Skills
- At least 12+ years of prior hands-on experience with developing, testing and releasing scalable
software projects, experience in managing AI/ML Programs will be an added advantage.
- At least 7+ years of experience managing and delivering high-quality software - SAAS, either as a
development manager, or a program/project manager or a product manager.
- Strong knowledge of architectural designs related to Edge computing, Data Analytics – ETL and SAAS.
- Conversant with concepts related to AI /Machine Learning / Python – Pytorch / Databases / APIs /
Webbooks / Scalable Servers / Technical Feasibility / Public Cloud.
- Ability to lead complex programs independently under extreme tight deadlines and aggressive time to market schedules.
- Prior experience working with teams and stakeholders in multiple geographies.
- Ability to lead without authority and prioritize effectively in ambiguous situations.
- Ability to develop strong working relationships with all stakeholders.
- Strong communication skills - verbal and written.
- Excellent understanding of software development lifecycle (SDLC).
- Reasonable understanding of product and cloud security.
- Exceptional organizational skills and attention to detail.
- Coach engineers, Product Managers and leads on effective processes and best practices, including Agile development processes
Qualifications And Education Requirements
- BTech/MTech in Computer Science or a related field.
- PMP/ CSM/ SAFE / AWS – Certifications are an added advantage
