At a Glance
- Tasks: Lead the development of AI-powered search and discovery workflows for private market dealmakers.
- Company: Grata, the leading platform for private market dealmaking with a collaborative culture.
- Benefits: Work-life balance, health support, generous retirement plans, and learning opportunities.
- Other info: Dynamic environment with opportunities for growth and cross-functional collaboration.
- Why this job: Shape the future of AI search and make a real impact in the private markets.
- Qualifications: 4+ years in search product management and strong data analysis skills.
The predicted salary is between 72000 - 88000 £ per year.
- 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
- 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
- Culture and benefits built around work-life balance
- Extensive resources to support physical and mental health
- Employee assistance program
- Generous retirement plans
- Incentives for referring new colleagues
- Learning, training and mentoring programs
- Cross-functional projects
- Stretch assignments to help you progress
- Receive feedback and earn bonuses from peers & managers
- Employee bonding activities
- ESG and charitable team initiatives
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
- 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 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
- 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 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)
- Experience building high-quality, successful products with design, data science, and engineering teams, including launching and iterating using measurable KPIs
- Interested in an office-centric culture with a flexible work environment
- Experience performing customer research to better understand your customers and uncover their true needs around search intent, relevance expectations and decision-making workflows
- 4+ years of search product management experience and 1+ year of experience within private capital markets
- Vector search/embeddings, hybrid retrieval, reranking, query understanding, or ANN indexing experience
- Hands-on experience with Gen AI evaluation/monitoring (goldens, rubrics, regression, drift, hallucinations, prompt injection)
- Elastic Search/Open Search (or similar) familiarity
- Familiarity with AI governance basics (PII, access control, auditability)
- #J-18808-Ljbffr
Senior Product Manager (AI Search & Discovery) employer: Datasite
As a Marketing Director based in London, you will join a forward-thinking company that prioritises work-life balance and employee well-being through extensive resources for physical and mental health. With a strong emphasis on professional growth, the company offers learning and mentoring programmes, cross-functional projects, and opportunities to build a local marketing team, making it an ideal environment for those looking to make a meaningful impact in a multicultural setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Manager (AI Search & Discovery)
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like Datasite!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at Datasite would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at Datasite through your school's career services!
We think you need these skills to ace Senior Product Manager (AI Search & Discovery)
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Senior Product Manager (AI Search & Discovery), let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Senior Product Manager (AI Search & Discovery) position at Datasite. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at Datasite
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.
