Technical Product Manager
Summary
Passionate data-driven product leader with technical acumen, guiding development and strategy of products.
Proven track record of delivering customer-centric solutions at-scale that fuel business growth.
Committed to lifelong learning, building great agile teams.
Expectations
impactful products, career growth, high tech, innovation, working on complex problems
Employment Preferences
Expected Base Salary
**0,000 USD
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Product Manager
- Program Manager
- Technical Product Manager
- Cross-functional Team Leadership
- Stakeholder Management
- Active Listening
- Attention To Detail
- Critical Thinking
- Leadership
- Sprint Planning
- User Stories
- Program Management
- Requirements Analysis
- Defining Product Requirements
- Product Requirements
- Product Planning
- Product Launch Planning
- Inclusion
- Strong Written
- Verbal Communication
- Analytical Skills
- Conflict Management
- Scrum Master
- User Journeys
- Product Strategy
- User Research
- User
- Responsive Design
- WCAG Compliance
- Backlog Management
- Release Management
- Budgeting
- Forecasting
- Data Governance
- Security
- Agile Methodologies
- SCRUM
- Kanban
- SDLC Process
- Product Lifecyle
- Jira Roadmaps
- Aha! Portfolio Mgmt
- Miro RealtimeBoard
- StoriesOnBoard
- Adobe DSM
- Sketch
- Excalidraw
- Smartsheet
- Google Analytics
- Tableau Analytics
- Elastic Kibana
- Splunk
- Salesforce
- ServiceNow
- Qualtrics Surveys
- Survey Monkey
- Atllasian Administration
- Quip
- RallyDev
- Bugzilla
- GitHub
- Microsoft TFS
- Trello
- Microsoft Project
- Amazon AWS Cloud
- Microsoft Azure Cloud
- Temporal Cloud
- Microsoft Office 365
- Office Online Server
- Sharepoint
- Postman
- Python
- SQL
- XML
- XSD
- JSON
- RESTful API
- NodeJS
- Graphql
- Feature Flags
- Kafka
- Docker
- Kubernetes
- Elasticsearch. Microservices Architecture
- API Driven Development
- Service-oriented Architectures
- ETL
- ERP
- CSS
- Oracle
- IBM DB2
- Redis
- Hyper
- SQL Server
- PostgreSQL
- ElasticSearch
- AWS Redshift
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