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Seeking a Staff Software Engineer to lead the design and evolution of the entity data platform, focusing on data ingestion, resolution, and delivering accurate data. Responsibilities include system architecture, improving reliability, and mentoring team members.

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.

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.

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.

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.

Lead broker content and partner marketing initiatives: coordinate co-branded articles, webinars, and events; manage editorial calendar and content workflows; liaise with sell-side research teams and internal stakeholders; track performance metrics; maintain team processes and provide project management and occasional proofreading support to deliver timely research and thought leadership programs.

Perform outbound prospecting to identify and qualify new business opportunities with Fortune 1000 executives and investment professionals. Use email, phone, and social outreach, research target accounts, handle discovery and objections, schedule meetings for Account Executives, log activity in CRM, and consistently achieve program KPIs.

The Account Executive will drive new business sales across Financial Services, manage the sales pipeline, conduct demos, and build relationships with clients, while exceeding revenue targets.