AlphaSense
Senior Analyst, Revenue Tools - Customer & Product Support
Remote - United States · Senior
Sponsorship not specified$88k-$120kDetected 71 days ago
SalesforceVendor ManagementRecruitingCustomer SuccessCustomer SupportZendeskResearchLeadershipCommunicationCollaborationOrganizational Skills
About the role
- By acting as the subject matter expert on process and tools, are the team's first call for tooling questions, optimization, vendor escalations and workflow optimization.
- This person will be able to make a sizable impact and work cross-functionally across AlphaSense.
Responsibilities
- Lead with an AI-first mindset
- Design and optimize AI agent conversation flows, triage logic, and handoff behaviors that create seamless transitions between AI and human support.
- Configure and maintain AI support agent guidance, rules, and detection attributes to improve response quality, tone, and inbound categorization.
- Build and maintain the internal runbooks, SOPs, and help center content that power deflection and self-service.
- Own and manage the support tech stack (e.g., Zendesk, integrations with Salesforce, Linear, Slack, and knowledge tools), ensuring reliability, usability, and alignment with team needs.
- Partner with vendors on resolving technical issues, evaluating new capabilities, and ensuring we stay on the most effective, up-to-date versions of our tools.
- Continuously evaluate the support tool stack against team needs and market options, recommending and executing changes where warranted.
- Analyze and enhance support processes to improve efficiency, agent productivity, and customer satisfaction.
- Build and maintain integrations between support systems and adjacent tools (e.g., Salesforce, Linear, Slack) that enable automated execution of routine transactional actions.
- Design, implement, and troubleshoot automated workflows, including guardrails, validation logic, and exception handling to ensure safe and reliable execution.
Requirements
- Customer-first mindset with a track record of working through complex problems using AI, tooling, and systems to find scalable solutions.
Skills
- Natural systems thinker who connects the dots across tools, teams, and workflows to identify root causes and upstream fixes.
Compensation
- For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables.
Benefits
- Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients' own research content.
Company info
- The Revenue Technology team at AlphaSense builds and operates the systems, integrations, and tooling that power our go-to-market and customer-facing functions.
- We partner across Sales, Customer Success, and Support to drive process efficiency and enable the revenue organization to scale.
- This role operates as an embedded partner to Customer & Product Support (C&PS) and acts as an advisor and extension to our Customer & Product Support Leadership team.
- The Customer & Product Support (C&PS) team sits at the intersection of sales, customer success and technical support.
- Through close teamwork and collaboration, they drive positive customer outcomes and ensure seamless access and optimal utilization of AlphaSense's market-leading platform and products.
- The team is heavily relied upon to contribute excellent customer service, which ultimately maximizes prospect and customer health.
- Identify and implement opportunities for AI-driven solutions and workflow automation to streamline operations, build deflection mechanisms, and reduce manual effort for both our customers and team.
- Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500.
- Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland.
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This listing is sourced directly from AlphaSense's careers page and normalized into a canonical job model.