Own the full data science engine for a priority vertical, from business problem to deployed model, driving measurable ROAS.
Build buying models that maintain positive ROAS and quality while improving lead quality across the portfolio.
Establish trusted, direct partnerships with business stakeholders and identify net-new modeling opportunities.
Launch Potato is a discovery and conversion company that reaches tens of millions of people monthly through brands like FinanceBuzz, All About Cookies, and OnlyInYourState. They are a profitable, bootstrapped company with a remote-first team across 18 countries, emphasizing impact and ownership.
Define and execute AI/ML strategy aligned with product and business priorities.
Lead high-performing teams across machine learning, applied AI, data science, and research.
Oversee production ML systems, model evaluation, and responsible AI standards.
SignalFire is a VC firm partnering with early-stage startups across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS. With 200+ portfolio companies, they connect exceptional leaders with exclusive startup opportunities.
Complete structured learning plans covering AI, machine learning, data engineering, cloud platforms, and software development fundamentals.
Participate in hands-on labs, guided exercises, and practical projects to build a strong technical foundation, including pair programming and AI solution-building.
Pursue industry certifications and develop proficiency with leading AI tools, LLMs, and cloud services while applying responsible AI and security best practices.
Simple Technology Solutions provides exceptional IT solutions to Federal Government clients, prioritizing employee well-being and flexibility. Recognized as a 'Best Place to Work,' our culture emphasizes collaboration, continuous learning, and mentorship, fostering innovation and growth.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.
Design and build a unified AWS-native data and AI platform supporting multiple products and projects.
Establish shared data models, pipelines, services, and serving layers for document intelligence, search, RAG, and analytics.
Define MLOps architecture including model deployment, monitoring, and retraining workflows.
International Consulting Associates, Inc. assists government clients with evaluating and achieving their objectives. It is a small but rapidly growing company with a collaborative 'one team' culture that prioritizes work-life balance.
Platform architecture: own the architecture of the geospatial platform including cloud-native data and serving layers.
Data at scale: translate science outputs into reliable, versioned data products for applications and partners.
Standards & reliability: set engineering standards with Infrastructure-as-Code on AWS and ensure platform reliability.
Lynker Corporation is a leading provider of innovative solutions in weather and climate science. They are a growing, employee-owned business specializing in professional, scientific, and technical services, fostering a culture of exceptionally skilled professionals.
Administer and maintain the Snowflake platform including databases, roles, and performance optimization.
Implement security, automation, and governance standards across AWS cloud environments.
Collaborate with data engineering and security teams to deliver a scalable cloud data platform.
Empower is a financial services company focused on transforming financial lives. They offer a flexible work environment and career paths, with associates volunteering thousands of hours for community causes.
Build and own data pipelines, models, and infrastructure that turn raw labor market data into systems connecting people to jobs.
Shape data modeling in the warehouse, ensure trustworthy analytics and reporting, and build pipelines for matching and recommendation models.
Partner closely with Engineering, Product, and VP of Data & AI to decide how the platform is built.
FutureFit AI is an AI-powered platform that helps people get better jobs faster, focusing on those facing barriers to opportunity. The company has 30-50 employees across the US and Canada, with a culture of high trust, high impact, and a will to win.
You will develop and maintain end-to-end data pipelines and contribute to Samsara's Data Platform for advanced automation and analytics.
You will design, build, and optimize large-scale Spark and PySpark workflows for batch and streaming data processing.
You will build and maintain MCP servers and AI agents, and champion data engineering best practices across the team.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights. As a recently public company, they foster a culture of autonomy, support, and rapid career development in a hyper-growth environment.