Senior Product Manager, AI Search & Discovery

Grata is a hybrid company, which means our employees work from our NYC office on Mondays, Tuesdays and Thursdays.

At Grata, we will expect you to:

• 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

What we are looking for:

• 4+ years of search product management experience and 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)

• Interested in an office-centric culture with a flexible work environment

Nice to have:

• 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)