Datasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealbreakers find opportunities, manage transactions, and make key decisions.
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Job Description:
Grata is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies. Our platform has the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners.
We help leading investors (PE/growth), investment bankers, management consultants, and corporate development teams discover and win more deals. Grata has over 700 customers and has been widely recognized as the market leader by G2, PE Wire, and more.
We’re looking for an experienced Senior Product Manager, AI Search & Discovery to lead the development of Grata’s core discovery engine – how dealmakers search, explore, and build conviction on the right companies. In this role, you will define, strategize, implement, and optimize AI-native search and discovery workflows.
As a Senior Product Manager at Grata, you’ll collaborate with cross-functional teams to deeply understand customer needs, prioritize the highest-impact opportunities, and work closely with engineering to deliver high-quality experiences. You will play a crucial role in ensuring our AI-powered discovery experiences adhere to industry standards, maintain reliability and trust, and scale effectively with the evolving needs of our growing business.
We are looking for someone who takes initiative, excels in a fluid environment, and transforms ambiguity into clear solutions. The ideal candidate is deeply customer-obsessed, ensuring that their work consistently aligns with and addresses customer needs. If you’re passionate about building innovative products, shaping the future of AI-native search and discovery for private markets, and driving real impact for dealmakers, we’d love to hear from you.
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)
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.
$118,800.00 - $207,200.00Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
Skills Required
- 4+ years of search product management experience
- 1+ year of experience within private capital markets
- Excellent written and verbal communication skills
- Experience developing product vision and roadmaps, ideally for Search, Discovery, Ranking, Recommendations, or AI/ML-powered workflows
- Experience building, launching, and iterating products with design, data science, and engineering teams using measurable KPIs
- Experience conducting customer research focused on search intent, relevance expectations, and decision-making workflows
- Ability to partner and influence effectively across organizational levels
- Experience in a startup or high-ambiguity environment
- Experience managing ambiguity and complexity across multiple stakeholders
- Experience with data analysis using SQL, R, or Python
- Experience defining and owning metrics for search relevance and discovery success, both offline and online
- Interest in an office-centric culture with a flexible work environment
- Experience with vector search, embeddings, hybrid retrieval, reranking, query understanding, or ANN indexing
- Familiarity with Elasticsearch, OpenSearch, or similar technologies
- Hands-on experience with GenAI evaluation and monitoring, including goldens, rubrics, regression, drift, hallucinations, or prompt injection
- Familiarity with AI governance basics, including PII, access control, and auditability
DataSite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DataSite and has not been reviewed or approved by DataSite.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, mental‑health resources, and an employee assistance program. Feedback suggests these offerings align with mainstream expectations for mid‑size SaaS employers.
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Retirement Support — A 401(k) with employer match is consistently referenced, with some mentions of immediate vesting. Feedback suggests the retirement program is competitive relative to common market practices.
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Leave & Time Off Breadth — Paid time off is characterized as meaningful, including paid holidays, sick time, and generous PTO ranges, with certain business units citing unlimited PTO and notable parental leave. Feedback suggests time off is a valued and frequently cited strength.
DataSite Insights
What We Do
Datasite the maker of Datasite Diligence virtual data room platform, helping dealmakers around the world close more deals faster.
