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AlphaSense
AlphaSense
7 open remote positions
AlphaSense provides AI-driven market intelligence and search, helping companies make data-informed decisions through a vast universe of public and private content. Founded in 2011, it is headquartered in New York City and employs over 2,000 people globally, serving more than 6,000 enterprise customers.
Salary Distribution
5 of 7 jobs
Benefits Overview
5 of 7 jobs
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Open Positions
Evaluate third-party datasets and content for the AlphaSense platform, including data quality, methodology, and licensing terms. Lead due diligence on vendor evaluations, build business cases, and assess strategic fit for new datasets. Track market trends and competitive landscape to identify AI-driven content opportunities and support product vision.
Data Analysis
Product Management
Market Data
Generative AI
Design and build scalable identity, authentication, and authorization platforms at AlphaSense. Partner with security teams to ensure secure-by-design systems aligned with SOC2 and GDPR. Drive projects autonomously while collaborating with a Helsinki-based team in a remote setup.
Java
Spring Boot
Kubernetes
OAuth 2.0
SQL
Lead the global compensation function, owning strategy, structure, and programs across base pay, incentives, and equity. Partner with business leaders, Finance, Legal, and People teams to design scalable compensation solutions and advise on complex matters. Build and develop a high-performing compensation team while ensuring market competitiveness, governance, and executive compensation readiness.
Compensation
Workday
Data Analysis
Team Leadership
Own the onboarding and rollout program for large enterprise clients, from pre-sale handoff through the first 90 days of adoption. Serve as the main point of contact for rollout, leading status meetings and aligning resources across Sales, Marketing, Product, and Customer Success. Track adoption signals, analyze trends, and build scalable processes for smoother onboarding across future clients.
Project Management
Microsoft Excel
Google Sheets
Salesforce
Data Analysis
Own the end-to-end sales process, targeting Corporate Strategy, Competitive Intelligence, Business Development, Investor Relations, and M&A. Partner with SDRs to create prospecting plans, drive pipeline, and accurately forecast to meet/exceed quota. Work with Product Specialists and Account Management to ensure client engagement, health, and close upsell/cross-sell opportunities.
Enterprise Sales
SaaS
Prospecting
Forecasting
Communication
Establish data quality standards and business rules across content domains. Monitor dataset health and conduct root cause analysis for improvements. Collaborate with operations, product, and engineering to drive quality initiatives.
Data Governance
Data Quality
Root Cause Analysis
SQL
Process Improvement
Define the strategy and roadmap for customer lifecycle marketing focused on consumption-based offerings.\n- Develop digital-first programs to accelerate time-to-value and increase product usage, especially for API solutions.\n- Measure impact through metrics like consumption revenue and product utilization, iterating based on results.
Marketing
Lifecycle Marketing
B2B SaaS
Product-Led Growth
Analytics