2 months ago
Base Salary
$200k - $275k/yr
Responsibilities
- Own internal automation systems end to end, from ambiguous operational problems through production deployment.
- Build a coherent, queryable data layer across CRM, product usage, billing, call recordings, support history, and third-party enrichment systems.
- Design and operate unattended AI agent workflows for research, enrichment, drafting, summarization, data entry, and systems hygiene.
- Build evaluations, guardrails, monitoring, provisioning, onboarding, and account setup systems for production reliability.
- Integrate third-party systems and automate customer lifecycle workflows.
- Instrument automation to measure hours returned, error rates, cycle time, and overall impact.
- Protect company and customer data through secure, compliant, reliable integrations.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- At least 2 years of professional software engineering experience shipping and operating production backend systems end to end.
- Strong TypeScript experience for backend services and APIs.
- Hands-on experience deploying and running production services on GCP or an equivalent cloud stack.
- Strong knowledge of relational databases and SQL, including schema design, query optimization, and data modeling.
- Production experience with LLM prompting, tool and function calling, retrieval, agent workflows, evaluations, and guardrails.
- Experience integrating third-party APIs, including authentication, rate limits, pagination, webhooks, and data reconciliation.
- Working knowledge of asynchronous patterns, background jobs, scheduling, retries, idempotency, logging, metrics, and tracing.
- Exceptional communication skills and the ability to translate stakeholder workflows into shipped requirements without a detailed specification.
- Demonstrated ability to ship high-quality software autonomously in unstructured, fast-moving environments.
- Demonstrated passion for AI agents and automation through systems built.
- Working proficiency in Java, Python, or another second language is a plus.
- Interest in corporate finance and capital markets is a strong plus.
Benefits
- Opportunity to work on enterprise AI for leading financial institutions alongside a highly experienced AI and finance team.
- Significant ownership of systems used by sophisticated users at a rapidly scaling company.
- Opportunity to work on advanced AI models and production automation at the frontier of the field.
Categories
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.