Our client, an AI-powered financial technology company, is looking for an Engineering Manager. The company automates data extraction and financial modeling for investment professionals. They deliver accurate, auditable data and modern workflows to help analysts spend less time on rote work and more time on insight.
Responsibilities:
- Lead, coach, and grow a distributed team of software engineers building production systems used daily by leading asset managers, hedge funds, and banks.
- Own delivery for a set of product areas across our web app, Excel plugin, data extraction pipelines, and AI/LLM-enabled modeling features.
- Partner with Product, Design, Data Science/ML, and GTM to define roadmaps, break down work, and ship iteratively with clear success metrics.
- Establish engineering excellence: code quality, testing strategy, CI/CD, observability, incident response, and SLAs for reliability and latency.
- Drive architectural decisions across Python/Django services, React front ends, and AWS-based data services centered on S3 and related primitives.
- Guide the integration and safe operation of LLM features (prompt/version management, eval/guardrails, data privacy, cost/performance).
- Ensure data accuracy and auditability standards are upheld across ingestion, normalization, and delivery, including source-linking for every datapoint.
- Hire and develop talent; set goals, provide feedback, and create growth paths for engineers at multiple levels.
- Champion an inclusive, async-friendly culture that supports teammates across time zones while maintaining high velocity.
