Senior Product Manager, AI Search & Discovery - Grata

DatasiteNew York, NY
$100,600 - $169,800Hybrid

About The Position

Grata is the leading private market dealmaking platform, making it easy to find, research, and engage with private companies. Our platform offers comprehensive, accurate, and searchable proprietary data on private companies, their financials, and owners, serving leading investors, investment bankers, management consultants, and corporate development teams. Grata has over 700 customers and is recognized as a market leader. We are seeking an experienced Senior Product Manager, AI Search & Discovery to lead the development of Grata’s core discovery engine. This role involves defining, strategizing, implementing, and optimizing AI-native search and discovery workflows. The Senior Product Manager will collaborate with cross-functional teams to understand customer needs, prioritize opportunities, and work with engineering to deliver high-quality experiences. A key responsibility is ensuring our AI-powered discovery experiences meet industry standards, maintain reliability and trust, and scale effectively. We are looking for a proactive individual who thrives in a fluid environment, transforms ambiguity into clear solutions, and is deeply customer-obsessed.

Requirements

  • 4+ years of search product management experience
  • 1+ year of experience within private capital markets
  • Excellent written and verbal communication, including the ability to explain tradeoffs and outcomes clearly to technical and non-technical stakeholders
  • Experience developing a vision and roadmap for an area of a product – ideally Search, Discovery, Ranking, Recommendations, and/or AI/ML-powered workflows
  • Experience building high-quality, successful products with design, data science, and engineering teams, including launching and iterating using measurable KPIs
  • Experience performing customer research to better understand your customers and uncover their true needs around search intent, relevance expectations, and decision-making workflows
  • Can partner and influence effectively across all levels of an organization, and regularly use these skills to improve the work going on around you
  • Experience in a prior startup or high-ambiguity environment; a track record of managing ambiguity and complexity affecting many stakeholders in an organized and structured way
  • Experience with data analysis (using SQL/R/Python), metrics, and goal-setting – you’ve defined and owned metrics for search relevance and discovery success (offline and online)

Nice To Haves

  • Vector search/embeddings, hybrid retrieval, reranking, query understanding, or ANN indexing experience
  • ElasticSearch/OpenSearch (or similar) familiarity
  • Hands-on experience with GenAI evaluation/monitoring (goldens, rubrics, regression, drift, hallucinations, prompt injection)
  • Familiarity with AI governance basics (PII, access control, auditability)

Responsibilities

  • Build a deep understanding of customer needs, pain points, and behaviors by partnering with commercial teams and conducting user research and data analysis
  • Develop strategic roadmaps with clear milestones and measurable metrics to achieve ambitious goals and track progress effectively
  • Work across design, engineering, data science, QA, and product marketing to define and ship the roadmap for external facing semantic search, ranking, recommendations, and LLM/RAG-powered discovery workflows
  • Prioritize initiatives ruthlessly using a data-driven approach to maximize impact and deliver customer value – balancing quality, latency, cost, and reliability in production AI systems
  • Craft detailed requirements informed by customer conversations, usage data analysis, and iterative feedback from design and engineering teams – translating needs into clear specs
  • Establish yourself as the go-to expert and trusted leader for Search & Discovery quality, building credibility through ownership, measurable improvements, and continuous iteration
  • Communicate effectively with cross-functional teams and executive stakeholders, distilling complex AI search concepts into clear insights that drive alignment across the organization

Benefits

  • health insurance (medical, dental, vision)
  • a retirement savings plan
  • paid time off
  • other employee benefits
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