ML Systems Research Engineer

Define technical vision and architecture for Customer Data Mart

Design data architectures for pipelines

Serve as a primary contact for marketing technology related to CDP

Develop strategic roadmap for CDP activation

Work with clients on big data challenges

Deliver data engineering and data science projects

Design and build reference architectures

Collaborate with engagement managers

Own product analytics for Contact Center

Drive day-to-day analytics

Promote information security practices

Identify and report security risks

Lead and manage a team focused on host insights and data products.

Collaborate with various teams to ship data products successfully.

Define end-to-end data platform architecture

Embed governance into infrastructure

Develop high-impact data science projects

Train and validate ML models

Build and lead a team of Delivery Solution Architects

Own post-sales technical strategy for CMEG customers

Design and build a reliable, observable, scalable data platform

Drive the strategy behind data architecture and tooling

Serve as technical expert for data problems

Manage projects from SMB to Enterprise

Be the single source of truth on business health, KPIs, and performance trends

Blend technical analysis with storytelling to guide data-driven decisions

Design and develop scalable data models for analytics.

Collaborate with data engineers on data pipelines.

Collaborate with partners to gather analytics requirements.

Validate data accuracy and quality in analytics outputs.

Lead and manage a remote team of engineers

Drive growth through A/B testing and experimentation

Define trusted datasets and analytics solutions for rapid insights.

Lead self-serve analytics through admin, adoption, and training for Looker and Amplitude.

Develop and maintain data integration pipelines

Automate product deployment processes

Lead growth engineering team for signup-to-checkout funnel experiments

Deliver experiments using Amplitude and ship Rails/React features

Own end-to-end COR for compute costs and month-end close

Design and maintain COR allocation methodologies for product lines

Build and maintain Finance datasets and reporting in Hex

Automate Finance deliverables to scale with growth

Lead enterprise-wide AI transformation programs with impact.

Define roadmaps and models for foundation models and GenAI.

Manage end-to-end recruitment for technical roles.

Source exceptional candidates proactively and continuously.

Analyze and model major label licensing agreements

Build robust financial models with scenario and sensitivity analyses

Collaborate with stakeholders to gather business requirements

Analyze business processes and systems for improvements

Drive adoption of business products

Establish metrics and run experiments

Develop fingerprints against Censys scan data to identify risks.

Improve scanning infrastructure fidelity with Data Engineering.

Lead SEO and AEO projects

Design and ship full-stack features

Build and maintain AWS data infrastructure using Spark and Scala

Scale core pipelines to support growth

Design and build analytics data platform foundation

Develop scalable data models

Own and drive the roadmap for a core audience activation platform

Collaborate with cross-functional teams including Data Science, Data Engineering, and AdTech partners

Develop and maintain ML systems for health feature analysis

Collaborate with Data Engineers to enhance ML data pipelines

Build, manage, and develop a data science team

Influence analytics and data engineering culture

Build and maintain core data models for Greenhouse Recruiting and emerging lines

Establish global modeling standards using dbt for a single source of truth

Lead and advance Tax Attribute program

Optimize tax determination and reporting solutions

Deliver accurate data for strategy and product decisions

Manage a team of data scientists

Lead and contribute to data engineering infra and pipelines

Manage a team of senior data engineers

Define and lead data engineering vision and roadmap

Oversee secure data sharing through data pipelines

Lead design and implementation of shared data models and dimensions.

Standardize data engineering practices across teams.

Partnering with cross-functional teams for analytics delivery

Supporting workforce analytics and attrition rates

Collaborate on backend services and Pubsubs

Partner with Product to track performance and artists' needs

Build and lead credit function for FloatMe

Drive automation for high-volume lending

Architect and maintain evaluation suites

Build scalable pipelines for model training

Define and own ML platform roadmap aligned with business goals

Lead team to design, develop, and optimize ML systems

Lead and grow an engineering team within the AI platform

Define technical roadmaps aligned with platform goals

Lead pre-sales efforts for large enterprise accounts

Drive adoption of ML & AI solutions

Lead a team of Data Engineers and Analytics Engineers

Own and manage data infrastructure and data pipelines

Solving business problems with data

Collaborating with cross-functional teams

Own data foundations & insights strategy for core products

Partner with data engineering/analytics

Create core infrastructure and platform code for Homeward

Write scalable SQL and TypeScript using DBT, Remix, Snowpark, S3