Product Manager
Job Description
- Conducting market research and analysis to identify opportunities and understand customer needs
- Defining product vision, strategy, and roadmap, in alignment with company goals
- Collaborating with cross-functional teams, such as engineering, design, and sales, to bring products to market
- Managing the product lifecycle, from ideation to launch and post-launch evaluation
- Monitoring product performance and making data-driven decisions to drive growth and profitability
- Strong leadership and decision-making skills
- Excellent strategic and analytical skills
- Good communication and collaboration skills
- Strong technical knowledge and ability to understand complex product requirements
- Experience with product development processes and methodologies
More Info
About Company
Skills:
Product Delivery, data-driven insights, feature delivery and tradeoffs, generative AI tools, customer research, Market Analysis
Skills:
Ml, Nlp, query-assist surfaces, spell-correct, query understanding, data experimentation, ML product lifecycle, recommendation models, content discovery, feature engineering, search personalisation, A/B experiment design, metric interpretation, search ranking
Skills:
Integrations, AI-powered products, B2B SaaS, workflow automation, sales technology, CRM
Skills:
BPM, Machine Learning, Deep Learning, Wireframing, Nlp, MLops, Computer Vision, Quality Considerations, Generative AI, LLMs, Advanced Requirements Engineering for AI Systems, Mockup Design, Monitoring Strategies, Risk Management, Agile Product Ownership for AI and Data Teams, Responsible AI Principles and Ethics, Dataset Creation, LLMOps Lifecycle Management, Demo Creation, AI Evaluation Metrics, Labeling, Product Roadmap Management
Skills:
Performance Tuning, Agile Scrum, Application Design, Debugging, Ab Initio, Model deployment, Score generation workflows, Monitoring frameworks, Data-driven platforms, Safe, System integrations, Consumer reporting systems, Machine learning solutions, application frameworks, Feature engineering, Predictive models, Blended Scores, Scorecards, Alternative Data products, Metadata usage, Model governance, Data processing solutions, Continuous Flows, FCRA compliance, FactorTrust capabilities, Credit risk platforms