Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Product Manager, New Content Initiatives and Analysis
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- Remote from
- UK
- Salary
- Undisclosed
- Department
- Product & Operations
- Employment
- Full Time
- Experience
- Director
- Published
- Apply before
- 20 Nov 2026
- Listing views
- 34
- Application actions
- 4
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The role, at a glance.
AlphaSense is hiring a senior Product Manager to evaluate, license, and integrate financial datasets and research content for its AI-powered market-intelligence platform. The role leads vendor due diligence, data trials, proofs of concept, and business cases assessing content quality, coverage, cost, strategic fit, and integration feasibility. It requires substantial capital-markets and investment-research expertise, strong data-analysis capability with relational and JSON data, and hands-on familiarity with generative AI tools such as Claude Code. The successful candidate will work across content, partnerships, engineering, and vendor-management teams while tracking competitors and shaping AI-driven content strategy. This is a remote full-time position intended for candidates based in the United Kingdom.
Role DNA
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Pace & Pressure
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5/5Salary analysis
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Core skills
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Sample interview questions
I would begin with the target user problem and measurable workflow value, then assess the dataset's coverage, timeliness, accuracy, methodology, historical depth, and integration requirements. I would run a structured trial or proof of concept, compare the source with existing alternatives, and develop a business case covering licensing cost, expected adoption, strategic fit, and buy-versus-build implications.
I would define acceptance criteria before testing, including entity mapping, field completeness, update latency, historical consistency, accuracy against trusted benchmarks, and licensing permissions. I would use representative client use cases and quantitative samples, document exceptions, and work with engineering and content experts to determine whether issues can be resolved through normalization or should block adoption.
I first translate the question into testable hypotheses and identify the relevant structured and unstructured sources. I use SQL or comparable query tools to establish reliable baseline metrics, then use generative AI tools for exploration, synthesis, and pattern discovery while validating material findings against source data. I communicate both the conclusion and the assumptions or limitations behind it.
I would create a concise decision framework that makes user value, evidence, cost, technical feasibility, risks, and recommended next steps visible to each stakeholder group. I would involve partners early in the evaluation, resolve disagreements through shared data and explicit trade-offs, and maintain a clear decision owner and timeline.
AI can make large, fragmented content collections more useful through semantic retrieval, source-grounded synthesis, entity and event extraction, comparative analysis, and repeatable research workflows. The priority is to combine these capabilities with authoritative content, strong provenance, reliable permissions, and evaluation methods that protect accuracy and user trust.
About this role.
About AlphaSense:
AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com. Come join us.
About the Team:
The Content organization is responsible for identifying, creating or licensing and integrating best-in-class unstructured and structured content into the AlphaSense platform. The team reports to the Chief Content Officer and has strategy, product and content management, collection operations and support responsibilities for each Content vertical. We have been experiencing rapid growth across all content sets. We value and uphold transparency, trust, and accountability in our relationships within the Content teams and with external partners and internal stakeholders.
About the Role:
We are seeking a Product Manager for New Content Evaluation and Analysis to help us expand and strengthen the breadth, quality, and value of the data and content that power our Platform. Candidates should have deep knowledge of capital markets and investment research combined with extensive experience of evaluating and integrating financial research content and AI-powered investment analysis workflows.
Major Areas of Responsibilities:
- Identify the Need and Showcase the Value: Help identify and evaluate third-party quantitative and qualitative datasets and content for the needs of the AlphaSense platform (e.g. market data, fundamentals, estimates, ESG, news, research, transcripts, regulatory filings, and alternative data). Work alongside Partnership Management and Content Leads to assess data quality, methodology, licensing terms, and integration feasibility.
- Lead the Due Diligence Effort: Run point individually or leading a due-diligence analyst team on active vendor evaluations, including data trials, support proofs of concept, and own the framework to evaluate coverage, timeliness, accuracy, and history analysis. Help build content org-wide business case for new datasets and quantify value proposition, cost, buy vs build impact, and strategic fit.
- Become a Use Case Expert for AlphaSense content. Contribute to market research and competitive analysis to identify net new opportunities for innovation and differentiation. Identify new high impact AI-driven functionality and data sets and formulate the licensing target vendor or self-sourcing strategy to introduce new content into the AlphaSense platform and agentic workflows.
- Market Research and Assessment: Track industry trends and competing platforms, solutions, and content to deliver competitive intelligence and better evolve product and content vision. Keep abreast of a rapidly evolving competitive landscape and client expectations along with unprecedented LLM and AI workflow advances.
Who You Are:
- You have genuine excitement and passion for corporate finance, capital markets, and investment research coupled with data management expertise demonstrated either in previous capacity at a buy-side or sell-side firm or you have successfully supported AI products/features/data used by investment and data analysis professionals
- You have natural enthusiasm for working at the intersection of AI, data, technology, and investment research and track record of expert-level data analysis at scale using traditional data query or generative AI tools and platforms
- You have the energy and enthusiasm to work in a high-paced, high-growth environment and you are comfortable accommodating rapidly changing business priorities
- You have excellent presentation skills with demonstrated ability to inform and influence executives and align with multiple levels of stakeholders
- You have driven successful due diligence project outcomes or run content evaluations with diverse businesses and teams across multiple locations
- You demonstrate empathic communication, with the ability to listen and identify problems in need of solutions
REQUIRED
- At least 5 years of work experience at a leading financial institution or investment research platform firm focused on the delivery or evaluation of content, features, analytics, and models for front-office investment professionals
- Proficient knowledge of contemporary market data and investment research databases, products, and workflow tools (e.g.: Fundamentals, Estimates, Transactions data, Ownership data, Market data, News, Transcripts)
- Strong understanding of the logical structure of relational and JSON databases. Demonstrated experience of running complex data queries and analyses using traditional data- query or contemporary generative AI techniques is required. Close familiarity and hands-on experience with Claude Code or similar platforms is a must
- Demonstrated ability to collaborate with a dedicated cross-functional product development or evaluation teams of engineers, content leads, and vendor management professionals
- A track record of successful collaboration and delivery with a globally distributed team is a must. Prior formal or informal team leadership experience is strongly preferred.
- Demonstrated ability to set priorities, stay focused, and meet or beat deadlines
- BSc degree or material academic background in a quantitative analysis field
PREFERRED
- Experience in content acquisition and licensing
- Prior experience at a market intelligence or financial research SaaS start-up
- Exposure to iterative / agile development methodologies in the context of product development
- Experience working with and leading distributed teams
AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.
In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.
Recruiting Scams and Fraud
We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:
- AlphaSense never asks candidates to pay for job applications, equipment, or training.
- All official communications will come from an @alpha-sense.com email address.
- If you’re unsure about a job posting or recruiter, verify it on our Careers page.
If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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