Model Quality Technical Lead Manager

Build and ship AI Physics capabilities

Turn customer simulation data into AI-ready pipelines

Build high-quality backend capabilities

Improve app responsiveness and reliability

Establish canonical definitions for financial events and data models

Lead the tech roadmap and platformization efforts

Design and implement automation solutions in HR Ops

Build scalable HR processes with AI-enabled automation

Translate oversight requirements into technical specifications and delivery plans

Ensure data quality and timely reports through dashboards and metrics

Automate GTM operations

Build BI infrastructure

Lead the Core Platform roadmap and strategy

Ensure platform scalability and reliability

Lead and grow a team of engineers

Provide technical guidance for architecture and code quality

Promote and enforce information security practices

Identify and report security risks

Lead and guide GTM Strategy & Ops team

Architect and maintain revenue tech stack

Lead and collaborate on global football metrics projects

Drive R&D roadmap for new models and metrics

Take ownership of platform infrastructure components

Lead new initiatives leveraging partner-facing interfaces

Promote and enforce information security practices

Understand data storage, processing, and transmission

Lead RTCDP architecture and governance for client work

Architect scalable RTCDP implementations tailored to client needs

Lead end-to-end datasets, RL envs, and evals for coding agents.

Define data pipelines, validation, and review processes.

Design and build production ML systems for Reddit experiences.

Improve ranking, recommendations, search relevance, and signals.

Build scalable AI marketing apps and workflows

Architect AI agents

Promote awareness of information security practices

Assess and report security risks

Design and build internal pricing service and data models for Python rating engines

Collaborate across engineering, pricing, and product to scale pricing platform

Promote information security practices

Identify and assess security risks

Promote information security practices

Identify and report security risks

Promote and enforce information security practices

Identify and report security risks

Translate revenue data into executive insights

Design scalable dashboards and datasets for self-serve CFO/FP&A

Own data pipelines and automate financial workflows

Develop Snowflake data models for key financial metrics

Lead and grow engineering team

Build tooling with AI integration

Collaborate with stakeholders to document requirements

Analyze processes and systems for optimization

Manage and optimize the Pigment platform

Implement and lead key initiatives for system enhancements

Execute commercial strategy and analyses for FanDuel Predicts

Own performance tracking and strategic analyses for the product

Plan and scale technology projects

Lead data architecture, security, and performance

Build and deploy LLM-powered apps

Partner with stakeholders for automation opportunities

Redesigning customer support for B2B firms

Working with a product-led team

Owning and shipping AI features

Designing and implementing backend AI services

Lead end-to-end design and delivery of scalable data products.

Identify automation and integration opportunities.

End-to-end delivery and coordination of STT/TTS model versions

Define lightweight processes for enhanced visibility and accountability

Lead and contribute to data engineering infra and pipelines

Manage a team of senior data engineers

Design, build, and maintain backend services

Lead architectural discussions

Define and lead data engineering vision and roadmap

Oversee secure data sharing through data pipelines

Lead and scale infrastructure and core platform domain

Enable AI-first delivery with LLM workloads and data pipelines

Lead design and development of high-impact web applications and Tier-0 services

Ensure resilience and high availability of core services

Lead and mentor a team of engineers

Define roadmap and prioritize tasks

Onboard priority advertisers to Conversions API and pixels.

Support non-priority advertisers via troubleshooting.

Lead technical discovery calls

Guide advertisers through CAPI onboarding

Apply analytics to solve finance & market risk problems

Develop and maintain finance data mart

Build data and AI-powered internal tools for evaluating companies

Develop Meeting Prep Automation and Portfolio Benchmarking tools

Lead and grow an engineering team within the AI platform

Define technical roadmaps aligned with platform goals

Hiring a Remote Data Engineer for Coursedog.

Full-time position can be done anywhere in the US.

Lead a team of Data Engineers and Analytics Engineers

Own and manage data infrastructure and data pipelines

Develop capabilities with enterprise customers and cross-functional teams

Communicate effectively across all levels of the organization

Own data foundations & insights strategy for core products

Partner with data engineering/analytics

Develop and implement data science and ML solutions

Maintain data pipelines with SQL and Snowflake