AlphaSense

Account Manager

• Develop three-dimensional relationships with customers and key stakeholders
• Serve as the main point of contact for inbound queries, outbound engagement, relationship updates, and renewal discussions
• Retain and grow the customer base
• Collaborate with Account Executives to identify new business opportunities and expand client accounts
• Maximize retention across the book of business
• Drive adoption of AlphaSense solutions into additional business units
• Identify revenue at risk and help prevent churn
• Forecast retention rates
• Understand client business structures, roles, projects, and performance metrics
• Cultivate relationships so AlphaSense is viewed as a business partner
• Hold business reviews with key stakeholders
• Conduct proactive outreach with relevant materials and information
• Serve as a physical presence within clients through floor walks and lunch-and-learns
• Advocate for AlphaSense to clients and for clients within AlphaSense
• Acquire client value stories and product feedback and circulate it internally to product, marketing, and sales teams

Security Engineer

• Lead the design and implementation of secure, scalable, and trustworthy products across AlphaSense’s AI-native platform
• Work with architects, engineering, and product teams to embed security by design throughout the software development lifecycle
• Architect and enforce security controls for AI/ML systems, including model training, data pipelines, inference environments, and agentic workflows
• Identify and mitigate AI-specific attack vectors such as prompt injection, data poisoning, model inversion, and model theft
• Implement model provenance, integrity, and auditability controls
• Align AI security with governance and compliance teams against frameworks such as NIST AI RMF and the EU AI Act
• Ensure security, privacy, and compliance by design across application and cloud ecosystems
• Define and maintain secure development standards, guidance, and best practices
• Lead threat modeling, secure design reviews, and risk assessments
• Build and maintain security automation and governance integrated into development workflows
• Produce customer-facing security assurance materials, including security questionnaire responses, security whitepapers, and trust collateral
• Represent product security in customer, cross-functional, and leadership discussions
• Mentor teams on secure coding, AI risk management, and secure design
• Promote a security-first culture through advocacy, documentation, and training

Senior Product Security Engineer

General Counsel

• Provide legal and strategic advice on global employment matters, including employee relations, terminations, compliance, background screenings, benefits, immigration, recruiting, compensation, and related matters
• Assist in managing employment-related disputes, complaints, litigation, and investigations
• Draft, negotiate, and review employment-related agreements, addenda, and amendments
• Partner with the People team to develop AlphaSense’s people policies
• Advise on the use of AI technology in employee relations, recruiting/hiring, and other employment processes
• Remain informed about changes in global employment laws, regulations, and industry guidance
• Help create and enhance playbooks to scale the legal function as the company grows
• Work effectively across functional groups and time zones
• Report to the Senior Counsel, Employment and partner with teams including People, Information Security, Sales, Marketing, Finance, Product, and Content

Associate Counsel, Employment

Account Executive

• Own end-to-end sales processes in the assigned territory, targeting hedge funds, asset managers, investment bankers, and sell-side research departments
• Grow existing client relationships and sell to the Financial Services market
• Upsell existing client relationships by researching opportunities, initiating discussions, prospecting new teams, conducting demos, managing product trials, and closing sales
• Forecast accurately and develop pipeline to meet and exceed goals
• Partner with the marketing team to expand brand awareness
• Work with the Product Specialist team during trials to ensure client engagement
• Gather and share market and client product needs with sales, product management, content, and product marketing teams to enhance products
• Report to the Sales Director

Account Executive, Existing Business – Financial Services

Analyst

• Proactively review inbound deals for structure, pricing, discounting, and terms before approval, flagging risks and inconsistencies early
• Partner with Sales throughout the deal cycle, answering questions about deal commercials and unblocking deals in review
• Apply pricing guardrails and discount frameworks consistently, escalating exceptions through the appropriate approval path
• Partner with Legal and Finance to ensure non-standard terms are reviewed, priced, and documented correctly
• Identify bottlenecks and drive continuous improvement in the deal review process, including approval routing, documentation, and team handoffs
• Work with RevOps and Systems teams to embed AI-assisted steps into Deal Desk workflows across CPQ, CLM, and CRM
• Maintain Deal Desk metrics, including cycle time, approval turnaround, discount and exception rates, SLA attainment, and deal quality

Deal Desk Analyst

Financial Planning and Analysis

• Develop and maintain the CCR coverage roadmap for Financial Services equities
• Translate sector priorities into a structured pipeline of channel check projects aligned with investor demand, client engagement trends, and key debates across banking, insurance, and fintech
• Lead development of channel check frameworks, expert sourcebase strategies, and structured questionnaires
• Serve as the primary Financial Services domain expert
• Maintain understanding of business models, distribution channels, and investment debates across lending, deposits, payments, insurance underwriting, and financial technology
• Collaborate with Operations Managers and analysts on expert targeting, feasibility, and project structure
• Identify new companies, subsectors, and channel check opportunities within the Financial Services ecosystem
• Map value chains and identify expert networks supporting ongoing research
• Oversee CCR project development and execution
• Guide a team of analysts conducting structured channel checks
• Leverage AlphaSense’s AI interviewer technology to design and scale primary research workflows
• Provide research quality oversight and ensure questionnaires, expert sourcebases, and research outputs meet quality, consistency, and end-user value standards
• Refine research frameworks and improve workflows with cross-functional teams

Sector Lead – Financial Services, Primary/Channel Research

Product Manager

• Define and lead the development of Enterprise Administration at AlphaSense
• Build systems, workflows, and tooling enabling internal teams and enterprise customers to configure, manage, and scale the platform efficiently
• Set direction for enterprise administration across the full customer lifecycle, from account setup and provisioning through ongoing management, growth, and renewal
• Own the holistic vision and roadmap for enterprise administration across internal and customer-facing systems
• Map and optimize the enterprise customer lifecycle from initial provisioning through renewal
• Ensure tooling and workflows support scalability and efficiency for AlphaSense users and client administrators
• Orchestrate alignment across multiple technology and operational teams for cohesive end-to-end execution
• Influence senior stakeholders and executives to drive investment and prioritization for cross-functional initiatives
• Measure success through improved onboarding efficiency, reduced operational overhead, and enhanced enterprise customer autonomy and satisfaction

Principal Product Manager – Enterprise Admin Experience

Data Steward

• Establish and maintain data quality standards, business rules, metadata definitions, and taxonomy frameworks across content domains
• Monitor dataset health and quality metrics to identify opportunities to improve accuracy, completeness, consistency, and timeliness
• Investigate recurring data-quality issues and conduct root cause analysis to develop preventive and scalable solutions
• Partner with operational teams to identify systemic issues and implement process improvements
• Develop and maintain quality dashboards, data dictionaries, governance documentation, and standard operating procedures
• Collaborate with product managers to translate operational insights into product requirements and enhancement opportunities
• Partner with engineering teams to define data-quality requirements and support automation initiatives
• Support complex customer escalations and investigations requiring strong domain and data expertise
• Drive cross-functional initiatives focused on content quality, operational efficiency, and scalability
• Promote standardization and best practices across content domains and workflows
• Identify opportunities to leverage AI and automation to improve quality and reduce manual effort
• Serve as a subject matter expert and trusted partner for data quality and governance initiatives
• Establish a unified quality framework across content domains
• Implement consistent metadata and taxonomy standards
• Build quality dashboards providing visibility into dataset health and quality
• Drive recurring quality issues to root-cause resolution across multiple domains
• Identify and pilot at least one AI or automation opportunity delivering measurable efficiency gains
• Establish scalable standards and practices improving data quality and operational efficiency

Data Steward – Quality Excellence

• Establish and maintain data quality standards, business rules, metadata definitions, and taxonomy frameworks across content domains
• Monitor dataset health and quality metrics to improve accuracy, completeness, consistency, and timeliness
• Investigate recurring data-quality issues and conduct root cause analysis
• Develop preventive and scalable solutions
• Partner with operational teams to identify systemic issues and implement process improvements
• Develop and maintain quality dashboards, data dictionaries, governance documentation, and standard operating procedures
• Collaborate with product managers to translate operational insights into product requirements and enhancement opportunities
• Partner with engineering teams to define data-quality requirements and support automation initiatives
• Support complex customer escalations and investigations
• Drive cross-functional initiatives focused on content quality, operational efficiency, and scalability
• Promote standardization and best practices across content domains and workflows
• Identify opportunities to leverage AI and automation to improve quality and reduce manual effort
• Serve as a subject matter expert and trusted partner for data quality and governance initiatives
• Establish a unified quality framework and consistent metadata and taxonomy standards
• Build quality dashboards providing visibility into dataset health
• Drive recurring quality issues to root-cause resolution
• Pilot at least one AI or automation opportunity with measurable efficiency gains

Compliance

• Review expert call transcripts to detect and resolve instances of material nonpublic and confidential information in accordance with internal protocols, applicable laws/regulations, and industry standards
• Complete due diligence review of each call, document violations comprehensively, and escalate non-compliance with Tegus sourcing guidelines as necessary
• Conduct advanced research of financial reports and regulatory filings using internal databases and external resources to determine whether information exists in the public domain
• Proactively manage internal and external communications in a fast-paced, time-sensitive environment
• Input, track, and maintain accurate data on processes, transcripts, and workflows
• Identify opportunities to improve operational efficiency

Account Manager

Senior Product Security Engineer

Associate Counsel, Employment

Account Executive, Existing Business – Financial Services

Deal Desk Analyst

Sector Lead – Financial Services, Primary/Channel Research

Principal Product Manager – Enterprise Admin Experience

Data Steward – Quality Excellence

Data Steward – Quality Excellence

Compliance Analyst