Top Tech Jobs & Startup Jobs

Own the zero-to-one lifecycle for structured financial data products, from analysis and data architecture through launch, testing, and iterative enhancements. Translate investor research and quantitative workflows into product requirements, partner with engineering and platform teams, validate solutions with customers and domain experts, prioritize initiatives, analyze competitors, and drive cross-functional alignment. The role requires strong financial-data fluency, product leadership, communication, and attention to detail.

Lead Customer Success Operations to improve CS productivity and efficiency. Own metric definitions (NRR, GRR, renewal, usage KPIs), operationalize programs, support CS tooling and workflows (Salesforce, Gainsight, Clari, Gong, Tableau), build playbooks and reporting, resolve escalations, and partner cross-functionally to drive adoption, retention, and growth.

Processes content authorization requests for sales teams, collaborates with broker partners and customers to gather information, resolves queries, tracks case progress, and documents communications in a CRM. The role focuses on timely, accurate customer service, process improvements, and auditability, while also supporting training and special projects.

Provides second-line technical support for SaaS and private-cloud environments, diagnosing complex AWS, Kubernetes, API, search, and agentic-system issues. Partners with Engineering, Product, and customer-facing teams to resolve cases, lead technical account reviews, identify risks, improve processes, and create runbooks and documentation. Builds reusable AI workflows, prompt libraries, and MCP-connected investigation tools while mentoring junior engineers and supporting strategic customers.

Own the zero-to-one lifecycle for integrating structured financial data into AlphaSense. Translate investor research and capital-markets workflows into data requirements, architectures, and product solutions. Partner with engineering and platform teams across Web, Excel, and AI to deliver, test, launch, and enhance products. Conduct customer research, analyze competitors and industry trends, prioritize trade-offs, and align cross-functional stakeholders around product strategy and execution.

Lead Customer Success Operations roadmap execution, scale processes and tools, own CS metrics strategy and reporting, manage a Senior Analyst, act as senior escalation for operational issues, partner cross-functionally (Product, Sales, Finance, BI), and operationalize scalable playbooks and governance for CS programs and QBRs.

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.

Lead Directed Content research projects for Energy & Industrials: define research scope and expert criteria, manage Analyst workflows and performance, ensure expert quality, track project metrics, coach Analysts, and collaborate with cross-functional stakeholders to deliver high-value expert interviews and build sector knowledge.

Own AlphaSense’s curated product experiences, including company profiles, industry profiles, monitoring, and future surfaces. Use hedge fund investment research expertise to define, test, and improve accurate, credible, AI-powered experiences. Translate buy-side workflows into product strategy, identify market opportunities, collaborate with engineering, design, search, and marketing, and drive autonomous end-to-end delivery from concept through launch and iteration.

Manage the end-to-end sales process for existing financial services clients, focusing on upselling hedge funds, asset managers, investment banks, and sell-side research teams. Responsibilities include prospecting, pipeline development, product demonstrations, trials, relationship management, forecasting, closing sales, and meeting targets. The role partners with marketing and product teams, gathers client feedback, and requires regular client travel.