Posted:1 month ago|
Platform:
Remote
Full Time
● Research and analyze the AI ecosystem, competitive landscape, and emerging technologies.
● Identify market trends, opportunities, and risks to guide platform strategy.
● Evaluate third-party services and recommend best-fit integrations.
● Identify, assess, and manage potential technology partners and vendors.
● Lead communications and negotiations with external stakeholders.
● Oversee vendor evaluations, contracts, and integration processes.
● Analyze and validate new feature requests; provide data-driven recommendations.
● Create and maintain product documentation, PRDs, and specifications.
● Translate business requirements into actionable development roadmap items.
● Conduct customer research and gather actionable feedback.
● Develop user experience guides and best-practice documentation.
● Collaborate with design teams to implement user-centered solutions.
● Monitor usage analytics and behavior patterns to inform product improvements.
● Perform analytics on customer usage and platform performance.
● Build dashboards and reports to track KPIs, integrations, and product success.
● Deliver insights that shape roadmap decisions and partnership strategy.
● Bachelor’s degree in Business, Data Analytics, Computer Science, or related field.
● 3–5 years of experience in business analysis, ideally in SaaS, AI, or tech.
● Strong analytical and research skills; proficiency with data analysis tools.
● Experience with user research and UX principles.
● Excellent communication, presentation, and stakeholder management skills.
● Understanding of API integrations and vendor evaluations.
● Experience in AI/ML or SaaS industries.
● Knowledge of product management frameworks.
● Familiarity with customer analytics tools and platforms.
● Background in partnership development and market research.
● Strategic and analytical mindset.
● Strong project management and organizational skills.
● Ability to translate technical concepts into clear business value.
● Customer-first, data-driven decision making.
● Adaptability in a fast-paced, evolving technology landscape..
Rapid Innovation
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