The Account Executive will prospect new Enterprise Intelligence opportunities and manage the full sales cycle by coordinating with internal technical and product teams. They will lead qualification processes, build trial plans, and maintain ongoing commercial conversations with key stakeholders.
You will design and build shared, API-first product platforms that support internal teams, external integrations, and agentic workflows. You will also act as a technical owner to drive API standards and mentor senior engineers while maintaining hands-on involvement in system development.
You will own and drive the go-to-market positioning and strategy for the Expert Call Services business. This involves crafting messaging, managing campaigns, and collaborating with cross-functional teams to support call volume and revenue growth.
The Product Manager will lead the end-to-end integration of third-party broker research content and data feeds into the AlphaSense platform. They will collaborate with internal and external stakeholders to define requirements, manage project roadmaps, and drive iterative feature improvements using agile methodologies.
The Director of Account Management will lead a team of 8-10 account managers to drive renewals, reduce churn, and identify growth opportunities. This role involves coaching the team, managing revenue forecasting, and collaborating with sales to deliver long-term client value.
The Customer Success Associate will manage client onboarding, training, and ongoing engagement to drive platform adoption and usage. They will also collaborate with internal teams to share user feedback and market insights to improve the overall client experience.
The Senior Customer Education Manager will build and lead enterprise education programs from the ground up to support strategic account deployments. They will act as a consultative advisor to clients and internal teams, driving adoption through tailored education and change management strategies.
The Customer Education Specialist will coordinate execution across various education channels and act as a bridge between Product, Product Marketing, and Customer Education teams. They will utilize AI tools to automate workflows, maintain project trackers, and ensure all educational assets are aligned with product roadmaps.
The Account Manager is responsible for retaining and growing the customer base by developing strong relationships with key stakeholders. They will collaborate with account executives to identify growth opportunities and ensure clients maximize the value of the AlphaSense platform.
The Marketing Operations Specialist will support campaign execution by managing programs, ensuring data accuracy, and maintaining operational standards. They will also contribute to the foundation for growth by creating documentation and improving workflows to support the marketing organization.
The Sales Enablement Lead will design and implement scalable prospecting methodologies, playbooks, and coaching programs to drive pipeline generation across revenue teams. They will act as a strategic partner to leadership, leveraging AI tools and data-driven insights to optimize rep performance and cross-functional alignment.
The Senior Manager will lead the operationalization of strategic customer projects and define the tools, systems, and processes to scale the Customer Success organization. They will also manage a Senior Analyst and act as a senior escalation point for operational issues and data integrity.
The Senior Analyst will manage operational reporting and analytics for Customer Success while supporting strategic projects across the revenue organization. They will act as a cross-functional partner to ensure operational processes align with the needs of account managers and customer success leadership.
The Manager, Customer Success Operations will streamline processes and develop enabling tools to improve productivity and efficiency across the Customer Success organization. They will also own core metrics definitions and act as a strategic partner to leadership to drive adoption, retention, and growth.
You will lead the strategy, architecture, and engineering of Salesforce and the broader revenue systems ecosystem. This involves building and mentoring a high-performing team while establishing modern engineering practices and technical standards.
The Sector Lead will oversee the development and execution of channel research projects for the financial services sector, ensuring high-quality insights and consistent research outputs. They will guide a team of analysts in conducting structured channel checks and act as the primary domain expert to inform research strategy and coverage roadmaps.
The role involves leading the strategy, architecture, and operations of the core financial technology stack while ensuring data integrity and compliance. You will manage system implementations, integrations, and a team of analysts to support critical finance and accounting processes.
You will architect core reliability platforms and lead incident response to ensure mission-critical system uptime. Additionally, you will drive the adoption of SRE best practices and mentor engineering teams to scale effectively.
The Security Operations Analyst II will manage daily alert queues, perform structured investigations, and handle incident response activities. They will also contribute to detection quality by identifying coverage gaps and documenting findings to support the broader security team.
The Cloud Support Engineer will diagnose and resolve complex technical issues across SaaS and private cloud environments while acting as a senior technical voice for strategic customers. They will also collaborate cross-functionally to drive product improvements and build AI-driven systems to enhance team efficiency.
The Senior Product Manager will oversee the end-to-end lifecycle of integrating new structured financial data into the AlphaSense platform. They will act as a bridge between complex user workflows and technical execution, collaborating with engineers and domain experts to deliver robust data architectures.
The Senior Product Manager will oversee the end-to-end integration of structured financial data into the AlphaSense platform, managing the product lifecycle from analysis to launch. They will act as a bridge between complex user workflows and technical execution, collaborating with engineers and domain experts to deliver robust data architectures.
You will be responsible for the end-to-end sales process in your territory, targeting hedge funds, asset managers, and investment bankers. This involves researching opportunities, building prospect relationships, conducting product demonstrations, and closing new business deals.
Manage end-to-end sales processes for existing clients within the financial services sector, including hedge funds and asset managers. Focus on upselling, conducting product demos, managing trials, and accurately forecasting pipeline to meet growth targets.
The associate will act as the first line of support to resolve complex customer inquiries and technical issues while guiding users through platform features. They will also partner with product and engineering teams to relay feedback and contribute to product development and documentation.
Define and drive the long-term testing strategy and quality culture for the AI platform, emphasizing quality by design and automation. Mentor engineering teams on sustainable quality practices and establish quality gates to ensure robust, scalable AI-driven market intelligence.
The Product Manager will own and evolve the proprietary financial data taxonomy while ensuring compatibility with AI and LLM tools. They will collaborate cross-functionally to define data generation rules and maintain high standards for financial data accuracy and relevance.
The Principal Engineer will architect and own the CI/CD and configuration management strategy for a global fleet of microservices and Kubernetes clusters. They will drive the implementation of progressive delivery standards and embed AI-assisted workflows to enhance developer productivity across the organization.
You will define and drive a holistic developer experience strategy across the organization, aligning efforts between inner and outer loop development. Additionally, you will lead the integration of AI into the software development lifecycle to improve productivity and system reliability.
You will drive the architectural direction for a large-scale, cell-based microservices platform, focusing on horizontal scalability and configuration management. This involves designing and implementing changes across hundreds of services to ensure independent lifecycles and robust performance in private and isolated cloud environments.
You will own and evolve the CI/CD architecture and developer-facing delivery experience for a global engineering organization. This includes defining paved paths, championing progressive delivery practices, and embedding AI-assisted workflows into the software development lifecycle.
You will own, operate, and evolve the cloud and Kubernetes-based platform while championing standards to improve security, reliability, and performance. Additionally, you will build AI-powered tooling and integrations to reduce cognitive load and enable self-service patterns for engineering teams.
The Product Analyst will support the development and execution of the financial data product roadmap by translating requirements for engineering teams. They will also perform data analysis, validate system quality, and maintain documentation to ensure alignment across stakeholders.
Act as the first line of support to resolve complex customer inquiries and technical issues while guiding users through platform features. Collaborate with product and engineering teams to provide feedback, identify product opportunities, and contribute to documentation and training materials.
You will define the strategy and operating model for customer lifecycle marketing to drive usage and engagement for consumption-based offerings. This involves building scalable programs, leveraging behavioral data, and collaborating with cross-functional teams to accelerate customer growth and time-to-value.
Manage the end-to-end sales process for enterprise accounts, including prospecting, conducting demos, and closing deals. Partner with SDRs and product teams to drive pipeline growth and ensure customer success throughout the contract term.
You will proactively build relationships with corporate finance customers to drive new business and account expansion. Additionally, you will manage the full sales cycle, including prospecting, conducting product demos, and forecasting revenue targets.
The Pre-Sales Consultant will partner with Account Executives to conduct product evaluations and demonstrate the value of the AlphaSense platform to prospective financial services clients. They will also translate client feedback into product improvements and help define future use cases for key financial personas.
The Pre-Sales Consultant will partner with Account Executives to conduct product evaluations and demonstrate the value of the AlphaSense platform to corporate clients. They will also act as a product expert to uncover client use cases and provide feedback to internal teams to influence product development.
Lead and mentor a team of senior engineers to manage and scale the enterprise AI Gateway, which handles high-throughput LLM traffic. Partner with cross-functional teams to align the platform roadmap with product features and organizational goals.
You will define the design vision for the company's AI-native, agentic product and lead a team of senior designers to execute it. This role involves hands-on prototyping, cross-functional collaboration with product and engineering, and setting high standards for user experience in complex financial workflows.
Design, develop, and automate security controls for cloud infrastructure across AWS and GCP while maintaining security tooling. Lead end-to-end security projects, conduct architecture reviews, and collaborate with engineering teams to embed security standards into workflows.
You will design, develop, and automate security controls for cloud infrastructure across AWS and GCP while maintaining cloud security tooling. Additionally, you will lead security projects end-to-end, conduct architecture reviews, and collaborate with engineering teams to embed security standards into workflows.
The Staff Product Security Engineer will lead the design and implementation of secure, scalable architectures for AI, data, and cloud-native systems. They will collaborate with engineering and data science teams to embed security, privacy, and compliance throughout the product development lifecycle.
You will design, build, and evolve the identity, authentication, and authorization platforms to ensure secure and scalable access for the company's customer base. This involves collaborating with security teams to implement secure-by-design systems and creating self-service APIs for internal engineering teams.
You will own the positioning, messaging, and go-to-market strategy for the company's premium content, data, and expert call services. You will also lead and scale a high-performing product marketing team while partnering with cross-functional leaders to drive adoption and revenue.
The Senior Revenue Accountant will manage revenue recognition processes, including contract review, month-end close, and technical accounting under ASC 606. They will also partner cross-functionally to improve financial systems and support scalable Order-to-Cash processes.
Design, build, and evolve the identity platform across authentication, authorization, and user management pillars. Partner with security teams to ensure systems are secure by design and compliant with SOC2 and GDPR.
Drive broker content marketing initiatives by creating co-branded articles, webinars, and thought leadership campaigns. Manage the Research & Thought Leadership editorial calendar and coordinate cross-functional stakeholders to align content with business goals.
Drive the architectural strategy and technical execution for the Applications Portfolio across Web, Mobile, and Headless surfaces. Lead the transition from a feature-factory model to a platform-driven system while mentoring senior engineering talent.
The role involves converting recorded events into accurate, verbatim transcripts by editing for grammar, punctuation, and speaker identification. Editors must ensure contextual accuracy and adhere to strict company standards and deadlines.
Design and maintain AI-augmented automation pipelines and SOAR playbooks to triage and respond to security alerts at machine speed. Collaborate with AI/ML and DevSecOps teams to integrate security tools and ensure the reliability of AI-driven decisions.
Lead the development of test automation frameworks across UI, API, and GraphQL layers while designing AI evaluation frameworks for LLM-powered features. Drive a culture of quality ownership by partnering with engineering teams to implement shift-left testing and optimize CI/CD pipelines.
The role focuses on detecting, investigating, and containing risks across AI tools, agents, and models to prevent shadow AI and data exfiltration. It involves monitoring telemetry, tuning detection rules, and supporting ISO 42001 certification and AI governance.
Design and implement a quantitative-leaning security risk management framework spanning information security, AI, and operational risk. Own the enterprise risk register and leverage AI tools to monitor threats and produce executive-ready risk intelligence.
Own and evolve the CI/CD architecture and developer-facing experience to improve pipeline reliability and speed. Drive the adoption of progressive delivery practices and embed AI tooling into delivery workflows to enhance engineering productivity.
Lead a team of Account Managers to drive renewals, expansion, and product adoption for large financial services clients. Build the operational systems and processes necessary to scale predictable growth and align with Product and Sales teams.
The Enterprise Risk Officer will lead core risk work-streams, including the maintenance of the enterprise risk register and the coordination of risk assessments. They will partner with cross-functional stakeholders to ensure the risk framework is robust, auditable, and aligned with business scaling.
Lead the development of AI-first solutions to transform expert call transcripts into actionable investment insights. Collaborate with cross-functional teams to define the product roadmap and ensure high accuracy and speed in AI-generated outputs.
Manage the end-to-end sales process for existing clients in the financial services sector, focusing on upselling and expanding relationships. Responsibilities include prospecting new teams, conducting demos, and collaborating with product and marketing teams to enhance offerings.
Own and evolve the structured financial data taxonomy library, including labels, metric definitions, and dataset classifications. Collaborate cross-functionally to translate conceptual frameworks into scalable systems and ensure AI/LLM compatibility.
Act as the first line of support to resolve complex technical inquiries and maximize customer platform utilization. Collaborate with Product and Engineering teams to provide customer feedback and influence future product developments.
Oversee the execution of Directed Content projects within the Energy & Industrials sector for EMEA and APAC regions. Manage a team of Project Managers to ensure high-quality expert call transcripts and align content with strategic market priorities.
Oversee the execution of directed content projects and manage a team of Project Managers to generate high-quality expert call transcripts. Partner with the Director of Research to develop sector roadmaps and optimize AI-enabled tools for efficiency and insight quality.
Own and evolve the Android platform architecture and native engineering patterns to ensure fast, secure, and reliable customer workflows. Lead the design of durable production architecture and establish standards for validation, testing, and delivery across mobile teams.
Set the technical direction for Android and mobile-facing systems to ensure fast, secure, and reliable enterprise experiences. Lead hands-on system design and establish engineering standards to improve product quality and delivery confidence across teams.
Manage the end-to-end onboarding and rollout of AI-driven market intelligence solutions for large enterprise clients. Develop scalable deployment processes, project plans, and data-driven insights to ensure successful client transitions.
Design and operate scalable enterprise platforms and identity services to reduce manual operational work. Focus on identity and access management, enterprise security, and automation-driven platform development.
Own and evolve the native Android platform architecture to support AI-powered decision workflows across various device form factors. Lead system design and engineering standards while mentoring other engineers to raise the overall technical bar.
Own and evolve the native Apple platform architecture to support AI-powered decision workflows on iPhone and iPad. Lead the engineering foundations, reliability standards, and mentorship of the mobile engineering team.
Own the architecture and evolution of the entity data platform, focusing on ingesting and resolving global company data into authoritative records. Reduce manual validation by implementing AI-assisted resolution and deterministic matching rules to ensure data accuracy and reliability.
Lead the strategic design of AI-native workflows and data-rich experiences to help customers move from information to decision-making. Partner with Product and Engineering teams to deliver high-fidelity prototypes and evolve the company's design system.
Set the technical direction and architecture for the Unstructured Content Portfolio, focusing on real-time ingestion pipelines and entitlement enforcement. Lead cross-team initiatives, mentor engineers, and integrate AI/ML capabilities into production systems.
Architect core reliability platforms and drive the adoption of SRE best practices to achieve 99.99% uptime. Lead incident response as an Incident Commander and mentor engineers to scale the platform's reliability and performance.
You will lead strategic design initiatives to transform complex, data-rich problems into intuitive, AI-native product experiences. You will also partner with cross-functional teams to define end-to-end workflows and elevate design quality across the organization.
The Associate Account Executive will manage the end-to-end sales process for financial services clients, including prospecting, conducting product demos, and closing new business. They will also collaborate with marketing and product teams to drive brand awareness and provide feedback on client needs to enhance product offerings.
Lead feature strategic design work for iOS and Android platforms while collaborating with cross-functional teams to deliver exceptional user experiences. Conduct user research, develop mobile-first prototypes, and champion design quality throughout the development lifecycle.
The Principal Design Engineer will lead the creation of AI-powered product experiences by bridging design, engineering, and product strategy. They will own high-impact initiatives from concept to production while mentoring team members and advancing the company's design system.
The Senior Motion Designer will be responsible for defining and executing the visual language of the brand in motion, ranging from product UI reveals to high-concept brand films. This role also involves building repeatable, AI-augmented workflows to scale the team's output.
The Principal Engineer will focus on optimizing the GenSearch financial data agent by reducing latency in AI-powered answers and simplifying the fragmented, legacy-heavy architecture. Responsibilities include improving cross-dataset querying, shipping new datasets, and leading technical initiatives across multiple engineering teams.
Own the architecture and evolution of the large-scale data extraction and normalization platform. Design systems that process hundreds of thousands of records across heterogeneous sources with high reliability.
Own the architecture and evolution of the large-scale data extraction and normalization platform. Design systems that process records across various sources with high reliability and establish strategies to minimize human validation.
Own the architecture and evolution of the large-scale data extraction and normalization platform. Design systems that process records across various sources with high reliability and establish strategies to minimize human validation.
Own the architecture and evolution of a large-scale data extraction and normalization platform. Design systems that process records across various sources with high reliability and establish strategies to minimize human validation.
You will define the partnerships strategy and build value-driven go-to-market models. Additionally, you will cultivate strategic alliances and structure collaborative agreements to ensure mutual success.
As a Content Analyst, you will generate and expand the AlphaSense financial content offering by identifying, evaluating, and onboarding new content. You will also monitor content quality and support an AI-powered event classification and information extraction pipeline.
