AlphaSense

HQ
New York
Total Offices: 3
2,000 Total Employees
Year Founded: 2011

AlphaSense Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers life insurance

Offers supplemental life insurance

Offers disability insurance

Provides a pension

Offers company equity

Offers performance bonuses

Offers dental insurance

Offers health insurance

Offers mental health benefits

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers Health Savings Account (HSA)

Provides family medical leave

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides a mobile phone discount

Provides free snacks and drinks

Offers a remote work program

Work-Life Balance + Wellbeing

Offers company-sponsored outings

Offers an Employee Assistance Program (EAP)

Offers generous PTO

Provides paid holidays

Provides bereavement leave

Offers paid volunteer time

Provides paid sick days

Career Growth + Development

Job training & conferences

Recently posted jobs

3 Days AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Business Intelligence
The role involves architecting and implementing scalable AI services, enhancing system reliability, and collaborating on software architecture for AI-driven search features.
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Business Intelligence
Account Managers own long-term outcomes for high-value clients in Financial Services, ensuring renewals, customer health, and expansion opportunities while operating in a fast-paced environment.
3 Hours AgoSaved
Remote or Hybrid
United States
Artificial Intelligence • Fintech • Machine Learning • Natural Language Processing • Business Intelligence
Support Customer Success Operations by building and maintaining CS metrics and reporting (NRR, GRR, renewal, usage KPIs), partnering cross-functionally on complex deployments, and executing strategic CS programs. Serve as a go-to resource for account-level context, QA reporting, and initiatives like CS platform and usage-based pricing. Influence stakeholders, manage multiple priorities, and translate data into actionable insights for CS leadership.