
Engineering Manager
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in India.
• Recruit, onboard, and develop a team of 5–7 engineers.
• Establish the standards, culture, and operational cadence of the team.
• Take ownership of the execution of the web reporting roadmap from technical design to launch.
• Organize sprints, manage scope and dependencies, and achieve roadmap milestones.
• Construct, review, and authorize technical designs for the new reporting system.
• Steer the technical direction for Python services, React frontend, and a Redshift-backed data warehouse.
• Enhance data modeling, performance at scale, accuracy of financial numbers, and security measures.
• Leverage AI tools to boost team productivity and assess the use of LLM in reporting products.
• Collaborate with product, design, PDF Reporting, and data platform teams located in North America.
• Maintain daily overlap with Pacific time and document decisions and current status.
• Set standards for testing, observability, and incident response.
• Conduct 1:1 meetings, provide constructive feedback, write performance evaluations, and develop career paths.
• 12 years of experience in software engineering.
• Over 3 years of direct management experience with an engineering team of 5 or more members.
• Proven success in hiring, onboarding, and retaining engineering talent.
• Strong technical acumen in web applications and data management.
• Capability to review Python services, React/TypeScript frontends, and SQL-intensive data pipelines.
• Background in data-driven or financial systems where precision is critical.
• Daily utilization of AI tools with experience integrating them into team workflows, showcasing specific outcomes.
• Experience collaborating with distributed teams, preferably with stakeholders in North America.
• Proficient in clear and direct written and spoken English.
• Bonus: Knowledge of private markets.
• Bonus: Experience in financial or investor reporting.
• Bonus: Familiarity with Redshift or similar cloud data warehouses, semantic layers, or BI tools.
• Bonus: Experience with production LLM features, including evaluation and implementing guardrails.
• Bonus: Background as the initial engineering manager on a new team or in a new location.
• Fully remote work environment available.
• Flexible options to work in a physical office either part-time or full-time.
• Operations guided by a digital-first approach.
• Opportunities for collaboration across India, the United States, Canada, Luxembourg, and England.
• Chance to engage with AI coding and design tools.
• Professional development facilitated through 1:1 meetings, feedback, performance evaluations, and career pathways.
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