73 Strings

Business Development Rep

• Research and identify target accounts within the private markets ecosystem, including private equity, venture capital, and asset management firms
• Generate new business opportunities through outbound prospecting, email campaigns, LinkedIn outreach, and event follow-up
• Qualify inbound and outbound leads to determine fit and potential value for 73 Strings’ solutions
• Engage with key decision-makers and senior stakeholders to understand challenges and introduce 73 Strings’ value proposition
• Collaborate with Account Executives to hand off qualified leads and support opportunities through the sales funnel
• Maintain accurate activity and pipeline records in the CRM system
• Work cross-functionally with Marketing, Product, and Sales to refine outreach strategies and messaging
• Contribute to projects optimizing lead generation and scaling go-to-market efforts
• Assist in scoping and managing modern AI-native sales applications

Enterprise Business Development Representative

Data Engineer

• Build and operate pipelines, integrations and the warehouse supporting valuation and monitoring
• Own production pipelines from source capture through transformation, reconciliation and client delivery
• Put production pipelines under GitHub, automated testing and CI/CD
• Help redefine platform architecture across ingestion, processing and delivery
• Build and operate batch and streaming pipelines from databases, APIs, event streams and semi-structured sources
• Implement change data capture and incremental loading, including ordering, deletes, replay and slowly changing dimensions
• Build medallion datasets and dimensional models for Snowflake, Microsoft SQL Server and Databricks
• Apply data contracts, reconciliation and row-level quarantine before publication
• Own GitHub workflow and CI/CD, including tests, reviews, environment promotion and deployment as code
• Investigate production data failures and translate product, valuation and client-facing requirements into operable pipelines

Senior Data Engineer

• Redefine the platform’s architecture across ingestion, processing and delivery
• Build and operate batch and streaming pipelines from databases, APIs, event streams and semi-structured sources
• Implement change data capture and incremental load, including ordering, deletes, replay and slowly changing dimensions
• Build medallion datasets and dimensional models
• Deliver data to Snowflake, Microsoft SQL Server and Databricks
• Apply data contracts, reconciliation and row-level quarantine before publication
• Own the GitHub workflow and CI/CD, including tests, review, environment promotion and deployment as code
• Investigate production data failures
• Translate requirements from product, valuation and client-facing teams into operable pipelines

People Operations

• Manage the end-to-end employee lifecycle for the India team, including onboarding, offboarding, employment documentation, HRIS administration, employee records, and day-to-day HR operations
• Partner with the Head of People, Finance, IT, and external vendors on payroll, benefits administration, compliance, and employee lifecycle processes
• Coordinate annual and mid-year performance review cycles, compensation reviews, promotions, and bonus processes
• Support employee relations, policy interpretation, engagement initiatives, and positive employee experience
• Provide HR support across multiple business functions
• Manage end-to-end recruitment for India, focusing on Technology and Product hiring
• Partner with hiring managers to source and screen candidates, coordinate interviews, manage offers, and deliver a strong candidate experience
• Manage recruitment agencies and track hiring metrics
• Prepare and maintain HR dashboards and reports covering headcount, hiring, attrition, compensation, and other People metrics
• Support payroll reconciliations and ad hoc reporting
• Use advanced Excel and HR systems to maintain accurate data and generate insights
• Use AI tools to improve HR operations, recruitment, documentation, reporting, and administrative workflows
• Draft job descriptions, policies, employee communications, and reports with AI while validating accuracy, quality, and compliance
• Identify opportunities to automate repetitive processes through AI
• Collaborate with global People teams and stakeholders across Engineering, Product, Finance, IT, and other functions
• Coordinate HR initiatives, recruitment activities, and People programs across regions and time zones
• Ensure consistent HR processes and employee experience across global teams

Enterprise Business Development Representative

Senior Data Engineer

Senior Data Engineer

People Operations Manager