Top Tech Jobs & Startup Jobs

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.

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.

Develop and deploy production-grade LLM and NLP solutions for large-scale document understanding and structured data extraction. Design prompt engineering strategies, fine-tune models, build high-volume processing pipelines, and address latency and nondeterministic outputs. Implement LLM observability for tracing, debugging, evaluation, and monitoring. Own systems end to end, including architecture, coding, testing, CI/CD, monitoring, and on-call support.

Drive new-client acquisition across the Financial Services market, targeting hedge funds, asset managers, investment banks, and sell-side research departments. Own the full sales cycle from prospect research and cold outreach through demonstrations, trials, forecasting, and closing. Build pipeline, exceed revenue targets, partner with marketing and product specialists, support user adoption, and communicate market feedback to internal teams.

Set architectural vision and drive technical strategy across the Applications Portfolio. Modernize frontend architecture and API layers, partner with product and design systems, mentor senior engineers, reduce technical risk, and prototype solutions supporting agentic workflows and high-scale user interfaces.

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.