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AlphaSense
AlphaSense
16 open remote positions
AlphaSense provides market intelligence and search built on proven AI, delivering insights from public and private content including equity research, company filings, and expert calls. Founded in 2011 and headquartered in New York City, the company has over 2,000 employees across the globe and is trusted by more than 6,000 enterprise customers, including a majority of the S&P 500.
Salary Distribution
13 of 16 jobs
Benefits Overview
3 of 16 jobs
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Open Positions
Design, build, and maintain data pipelines and ETL processes to consolidate commercial data into a single source of truth. Develop, automate, and maintain reporting on core commercial metrics and KPIs for Sales, Marketing, and Revenue leadership. Drive the evolution of the RevOps analytics ecosystem by implementing scalable data pipelines, automation, and self-service reporting capabilities.
SQL
Python
Data Pipelines
Salesforce
BI Tools
Monitor and triage alerts across endpoint, network, cloud, runtime, and identity data sources. Perform structured investigations on escalated or ambiguous alerts to build coherent timelines. Participate in incident response, including evidence collection and containment actions.
MITRE ATT&CK
Network Protocols
Act as second line of defense for technical queries, ensuring timely and effective resolution. Troubleshoot and resolve issues related to SaaS and private cloud environments, including AWS and Kubernetes. Collaborate cross-functionally with support, product, and engineering teams to improve customer outcomes.
Python
Kubernetes
AWS
GraphQL
REST APIs
Drive new business sales by owning the full sales cycle for financial services clients. Prospect and build pipeline through cold calling and strategic outreach. Deliver product demos and close deals to exceed annual revenue targets.
B2B SaaS Sales
Financial Services
Cold Calling
Pipeline Management
Product Demonstrations
Drive service-side changes for cell architecture, including re-architecture and shared libraries. Decompose hundreds of microservices into sub-systems with independent lifecycles. Own the environments application configuration management framework end-to-end.
Java
Python
Kubernetes
AWS
Microservices
Design and deliver training & enablement programming across prospecting, account strategy, and outreach execution. Own the AlphaSense Sourcing Pipeline Methodology, building role-specific playbooks and process documentation. Lead the AI and automation agenda for pipeline-generating roles, evaluating and embedding tools that improve output.
Sales Enablement
Prospecting
AI Tools
Data Analysis
Stakeholder Management
Own the CI/CD and configuration management architecture across the production fleet. Define reference architectures and set progressive delivery standards like canary deployments and automated rollbacks. Partner with Cloud Platform, Security, and Compliance to embed AI tooling into delivery workflows.
CI/CD
GitOps
Kubernetes
Platform Engineering
AI
Own, operate and evolve our Cloud and Kubernetes based Platform. Collaborate with Product teams to enable and empower them to build and own their services. Build tooling and AI powered integrations that reduce cognitive load of complex infrastructure operations.
Kubernetes
AWS
Python
Golang
CI/CD
Support development and execution of the FinData product roadmap. Translate product goals into clear, actionable requirements and design mockups. Query SQL databases to identify data insights and support quality assurance.
SQL
Python
Product Management
Financial Markets
Data Analysis
Lead and shape India hiring strategy in partnership with senior leadership and cross-functional teams. Manage and develop the India recruiting team, driving performance and consistency across functions. Act as a strategic advisor to senior leadership, providing market insights and executing high-impact searches.
Talent Acquisition
Recruiting
People Management
Market Intelligence
Strategic Planning
Own the operationalization of strategic customer projects and optimize Customer Success processes for scalability. Define the strategic framework for core Customer Success metrics and drive executive reporting. Manage cross-functional stakeholder collaboration and act as senior escalation point for operational issues.
Salesforce
Gainsight
Project Management
SaaS Metrics
Cross-Functional Collaboration
Bring working knowledge of customer success and account management into Customer Success Operations. Build and maintain reporting on core Customer Success metrics, including NRR, GRR, renewal rate, and usage KPIs. Partner with cross-functional teams on large and complex projects to support program delivery.
Salesforce
Gainsight
Clari
SQL
Tableau
Apply deep working knowledge of customer success to guide how Customer Success Operations supports the broader CS organization. Own definitions, methodology, and standards behind core CS metrics, including NRR, GRR, renewal rate, and usage KPIs. Support Customer Success tool strategy across systems like Salesforce, Gainsight, Clari, Gong, and Tableau, executing on priorities.
Customer Success Operations
SaaS Metrics
Project Management
Cross-functional Collaboration
Salesforce
Collaborate with hiring managers and TA leadership to identify and understand product, engineering, and design hiring needs. Utilize various recruitment channels including job boards, social media, professional networks, and direct sourcing to identify potential candidates. Conduct thorough screenings, interviews, and assessments to evaluate candidates’ qualifications, skills, and cultural fit.
Sourcing
Screening
Client Relationship Management
Partner with Account Executives to drive product evaluations and new business revenue. Conduct discovery into client workflows to demonstrate AlphaSense's value. Build strong client relationships and translate feedback to product teams.
Generative AI
Presentation Skills
Consultative Selling
Client Relationship Management
Lead secure design reviews, threat modeling, and risk assessments for AI-driven products and APIs. Embed security practices throughout the software and AI development lifecycle. Architect and enforce security controls for AI/ML systems and cloud-native infrastructure.
Python
Java
AWS
Threat Modeling