5 months ago
Base Salary
$150k - $230k/yr
Responsibilities
- Own Rogo’s analytics infrastructure, including ETL pipelines, Snowflake, dbt models, orchestration, and reliability.
- Design and run evaluation and testing layers for internal agentic analytics tools and customer-facing analytics.
- Define core KPIs, maintain the pipelines that produce them, and document their meaning and lineage.
- Develop deep product understanding and partner with engineering and product to turn internal analytics work into customer-facing features.
- Improve refresh cadence and scalability through partitioning, incremental model design, storage tiering, and related strategies.
- Take ownership of a domain of analytics work and operate autonomously across stakeholders and business areas.
Requirements
- 5+ years of professional experience in data engineering, analytics engineering, or a closely related role, with experience owning production data systems.
- Deep SQL proficiency and fluency with a modern cloud data warehouse, preferably Snowflake.
- Hands-on dbt experience with models, tests, macros, incremental strategies, and transformation-layer design.
- Strong Python skills for pipeline and transformation work, plus comfort with orchestration and modern ETL tooling.
- Experience designing for increasing event volume, including partitioning, incremental models, and storage tiering.
- Fluency with AI products and agentic workflows, including retrieval, tool calls, model turns, and cost drivers.
- Curiosity about business metrics, autonomy across stakeholders, and comfort working in a fast-paced startup environment.
- Preferred qualifications include growth-stage experience, LLM evaluation or test-harness experience, single- or multi-tenant architectures, and familiarity with Salesforce, Intercom, Metronome, LSEG, FactSet, Crunchbase, ZoomInfo, Apollo, or similar platforms and vendors.
- Background in financial services, enterprise SaaS, or vertical AI is preferred.
Benefits
- Opportunity to work on AI products for leading financial institutions and a technically demanding financial-services problem.
- High ownership of important product and analytics surface area alongside an experienced AI and finance team.
- Fast-paced startup environment focused on product adoption, technical ambition, and frontier AI capabilities.
About Rogo
Rogo builds an AI operating system for finance, offering a suite of agents that handle sourcing, diligence, modeling, and turning analysis into deliverables for investment banks, private equity funds, and investment firms. It sells enterprise software and advisory services to large financial institutions. Founded in 2022 and headquartered in New York, the privately held company focuses on Wall Street workflows and is used by global finance teams.