Technical Product Management

Role: Technical Product Management
Location: Sunnyvale, CA 94085 _ Onsite
Duration: Long Term _ Only on W2
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Job Description:-
Build dashboards, self-service tools, and reports to analyse and present data associated with customer experience, product performance, business operations, and strategic decision-making.

Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting

Closely partner with our Data Science team to define metrics, datasets, and automation strategy

Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.

Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.

Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery

Education-Minimum of a bachelor's degree in computer science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

Experience in a Technical Product Management role, preferably for a digital-media or subscription business.

Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis

Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies

Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders

Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.