Jobs at 73 Strings

Lead end-to-end implementations for private market investment clients, serving as project manager and subject matter expert. Responsibilities include developing implementation practices and artifacts, monitoring customer health, collaborating on product features, optimizing client data strategies and technology integrations, preparing client-facing materials, improving onboarding, and partnering with technical teams on automation workflows.

Support client onboarding and deployment of an AI-powered platform for private equity, venture capital, and credit clients. Responsibilities include managing data ingestion, transformation, validation, and integration workflows; configuring solutions; monitoring data-quality and service KPIs; coordinating with technical and product teams; gathering client feedback; ensuring governance and privacy compliance; and improving operational processes.

Identify and qualify prospective clients in private equity, venture capital, asset management, and other private markets. Generate opportunities through outbound prospecting, email, LinkedIn, and events; engage senior decision-makers; maintain CRM data; and collaborate with Account Executives, Marketing, Product, and Sales to build pipeline and improve go-to-market processes. The role also supports AI-native sales applications and requires 1–3 years of sales development or business development experience.

Drive growth for an AI-powered private-market valuation platform by managing named accounts, prospecting, developing executive relationships, and owning the full sales cycle. Translate valuation challenges into ROI-driven proposals, lead negotiations, coordinate product workshops and proof-of-concept projects, and support successful implementation. The role requires deep valuation and private-markets expertise, consultative enterprise selling, strong presentation and negotiation skills, and experience building and closing client pipelines exceeding $500,000 annually.

Lead end-to-end implementations for private market investment clients, acting as project manager and subject matter expert. Manage client projects, implementation artifacts, onboarding, customer health, data strategies, technology integrations, and client-facing materials. Collaborate with product, technology, and subject matter teams to improve portfolio monitoring, valuation features, algorithms, and workflows. The role requires financial services experience, project management expertise, analytical and presentation skills, and knowledge of APIs, SQL, Power BI, and private market valuation.

Build and operate production batch and streaming data pipelines across ingestion, transformation, reconciliation, and client delivery. Develop CDC, incremental loading, dimensional models, medallion datasets, data contracts, quality controls, monitoring, and CI/CD workflows. Support Snowflake, Databricks, SQL Server, and Azure platforms while improving architecture, security, tenant isolation, performance, and reliability. Investigate incidents and collaborate with product, valuation, client-facing, and technical teams.

Build and operate production batch and streaming data pipelines from ingestion through transformation, reconciliation, quality validation, and client delivery. Design CDC, incremental loads, medallion datasets, dimensional models, metadata-driven components, and secure multi-tenant platforms using Azure Databricks, Snowflake, SQL Server, and Databricks. Own GitHub workflows, automated testing, CI/CD, deployment, monitoring, incident response, and data lineage while partnering with product, valuation, client-facing, and technical teams.

Own production reliability, scalability, incident response, observability, deployments, and infrastructure monitoring. Define SLOs, improve system architecture, troubleshoot complex issues, develop automation, maintain runbooks, and collaborate with engineering teams and customers to resolve technical concerns. Lead a reliability process such as incident management or automated alerting while contributing to code quality, documentation, and knowledge sharing.