ApplyVP of Product, Search, AI and GenAI
Posted about 20 hours agoViewed
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💎 Seniority level: Vp, 10+ years
📍 Location: United States of America
💸 Salary: 195900.0 - 351800.0 USD per year
🔍 Industry: FinTech SaaS
🏢 Company: datasite
🗣️ Languages: English
⏳ Experience: 10+ years
🪄 Skills: AWSLeadershipPythonSQLArtificial IntelligenceData AnalysisMachine LearningPeople ManagementProduct ManagementCross-functional Team LeadershipProduct DevelopmentData scienceStrategic ManagementA/B testing
Requirements:
- 10+ years of experience in Product Management, with at least 5 years leading AI, search, or ML-driven products in enterprise SaaS, FinTech, or a similar complex domain.
- Proven leadership experience at the VP or senior director level, managing and scaling high-performing product teams.
- Deep expertise in AI, GenAI, and search technologies, including NLP, information retrieval, vector search, embeddings, LLMs, and ranking models.
- Strong track record of delivering AI-powered products to market, with measurable business and customer impact.
- Experience balancing AI innovation with compliance, security, and risk management in a regulated industry.
- Exceptional data-driven decision-making skills, leveraging analytics, A/B testing, and experimentation to drive growth and engagement.
- Deep understanding of enterprise B2B workflows, particularly in financial services or dealmaking environments.
- Excellent executive communication and stakeholder management skills, with the ability to align cross-functional teams and influence strategic decisions.
- Strong technical acumen; ability to partner effectively with engineering and data science teams.
Responsibilities:
- Define and execute a comprehensive AI and search strategy, aligning with Datasite’s long-term business objectives and competitive differentiation.
- Identify and drive high-impact AI and search initiatives, ensuring that our platform remains at the forefront of innovation in FinTech SaaS.
- Build and lead a world-class product team, including Product Managers, Data Scientists, Engineers, and UX Researchers, fostering a culture of innovation, collaboration, and execution.
- Partner closely with executive leadership to define investment priorities, ensuring strategic allocation of resources.
- Own the product roadmap for AI, GenAI, and search, balancing short-term deliverables with long-term innovation.
- Drive AI and ML-driven product enhancements that improve search relevance, document understanding, automation, and predictive insights for dealmakers.
- Lead cross-functional teams to develop and ship scalable AI-powered solutions that address complex customer pain points while ensuring ease of adoption.
- Develop AI governance frameworks that balance innovation with regulatory compliance, security, and ethical AI practices.
- Establish data-driven KPIs and OKRs to measure the success of AI and search initiatives.
- Foster a culture of experimentation and rapid iteration, leveraging A/B testing and continuous learning to refine AI models and user experiences.
- Partner with Data Science and Engineering to ensure high-quality AI model training, deployment, and monitoring for accuracy, fairness, and bias mitigation.
- Act as the voice of the customer, deeply understanding user workflows, search behaviors, and pain points to inform AI-driven product innovations.
- Stay ahead of industry trends, emerging AI technologies, and FinTech developments, ensuring Datasite’s competitive advantage.
- Conduct customer discovery and market research, translating insights into actionable product strategies.
- Partner closely with Engineering, Data Science, UX, and GTM teams to deliver AI-driven solutions that enhance dealmaking productivity.
- Influence executive stakeholders by effectively communicating the strategic and financial impact of AI investments.
- Ensure that AI and GenAI solutions comply with data privacy, security, and industry regulations to protect client confidentiality.
- Represent Datasite as a thought leader in AI-driven dealmaking, search, and automation, speaking at industry events and engaging with key customers.
- Mentor and develop high-performing AI and product talent, building a best-in-class AI and search organization.
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