AI/ML applications for workflow automation, data validation, and operational excellence
Platform Over People: Prioritizes building robust platforms and automation over relying on individual heroic efforts, enabling sustainable and scalable growth
AI-First, Human-in-the-Loop: Embraces AI-driven solutions as a default for efficiency and scale, while keeping expert human judgment in critical loops to ensure quality and trust
Deep Co-Ownership with PMG: Fosters a culture of partnership with the Portfolio Management Group, aligning closely on priorities, sharing roadmaps and KPIs, and co-owning outcomes to ensure the platform truly meets investment teams' needs
API-first platform design and developer experience best practices
Standardization Everywhere: Drives consistency in tools, processes, and data across the board, reducing complexity and improving interoperability and maintainability
For New York, NY Only the salary range for this position is USD$225,000.00 - USD$285,000.00
Proven track record of driving innovation, navigating ambiguity, and delivering measurable outcomes at scale
An advanced degree is a plus
Ability to influence and align product teams, platform/infrastructure teams, and governance bodies around a common vision and roadmap
Single Front Door: Advocates for a unified user experience where researchers and stakeholders have one intuitive portal for all their needs, simplifying access and support
Strategic Engineering Leadership: Proven experience leading large-scale engineering organizations through product transformation initiatives (e.g., platform modernization, cloud migration, operating model changes). Demonstrated success in setting vision and executing across complex, multi-year technology programs
Self-Service as the Default: Champions self-service capabilities, empowering users to accomplish tasks independently (from data ingestion to model deployment) without bespoke engineering work
Demonstrated strength in partnership-building and cross-functional collaboration
Bachelor's degree in Computer Science, Engineering, or a related field; or equivalent practical experience
Alpha generation workflows or closely related quantitative research processes in finance/investments
Cloud technologies and cloud-native architectural patterns (e.g., microservices, containerization, distributed computing e.g. Ray)
Modern stack knowledge and skills - e.g. Python, Polars, Ray, MLFlow or equivalent technology

SmartExplore AI is experimental.

New, Posted 17 hours ago

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Software Engineer Backend - Kohler Ventures

Kohler

New York, NY 10001

HybridHealth InsuranceRetirement Benefit

1+ years of work experience within a backend-focused software engineering team, leveraging cloud Platform to deploy highly reliable and scalable cloud applications
3+ years of professional software development experience
3+ years of development experience using NodeJS, TypeScript
Availability to work outside of standard business hours to be able to collaborate with teams and vendors across multiple time zones
Distributed, scalable backend systems
Broad interest spanning from early prototyping to shipping finished features
Bachelor's degree in CS/engineering or related technical discipline from a reputed academic institution
PostgreSQL database
Minimal travel both domestic and international as needed
Master's preferred

SmartExplore AI is experimental.

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