Own operational leadership and accountability for the Product Classification organization.
Build and scale a multi-layered team, creating metrics and processes for classification accuracy.
Partner with Engineering and PM to leverage AI and drive continuous improvement.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of data points to uncover insights. They raised $475M, have a global presence, and are recognized for a people-centric culture emphasizing transparency and ownership.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
Own production data products that directly power business decisions, from marketing automation to core semantic models.
Design and analyze experiments with Product and Growth teams to define metrics and recommend next steps.
Solve ambiguous business problems by exploring data, identifying opportunities, and translating insights into impact.
Smallpdf makes document management simple for everyone, from PDF conversion to e-signing. With over 1.1 billion users globally and 17 million monthly users, it's one of Europe's largest product-led tech companies, fostering a culture of growth and collaboration.
Research multifamily datasets to identify opportunities for new product features.
Partner with product managers and engineers to design data-driven capabilities for ApartmentIQ Invest Pro.
Apply LLMs and AI techniques to automate workflows and unlock insights from market data.
ApartmentIQ builds industry-leading martech and data products for the PropTech space. They are a profitable, growth-stage company with a fully remote team of over 100 employees across the U.S., known for their no a**holes policy and high performance culture.
United States
Unlimited PTO
16w maternity
8w paternity
Analyze marketing performance data to identify trends and optimization opportunities, and support decision-making with clear insights.
Write efficient SQL queries, use Python for data preparation and automation, and assist in building curated datasets and data quality checks.
Develop dashboards and reports using BI tools, automate reporting processes, and collaborate with marketing, analytics, and data engineering teams.
Veeam is the Data and AI Trust Company, specializing in data resilience and security posture management. Headquartered in Seattle with offices in over 30 countries, Veeam protects more than 550,000 customers worldwide and fosters a collaborative, data-driven culture.
Partner with Marketing, Sales, Finance and Product teams to understand goals and decisions.
Own analysis end to end: clarify questions, build datasets, deliver answers and ensure decisions follow.
Deepen domain knowledge of subscription metrics and scale it through documentation and tooling.
RevenueCat is the default monetization platform for mobile in-app subscriptions, processing over $12B in annual purchase volume and serving developers from solo startups to OpenAI. They are a remote-first crew of 150+ across 25+ countries, guided by values like Customer Obsession and Always Be Shipping.
Lead cross-functional teams to drive revenue initiatives through data-driven recommendations.
Own and identify innovative strategies to maximize revenue and enhance client acquisition.
Improve quantitative analysis techniques and data infrastructure to uncover revenue opportunities.
Extend provides AI-driven solutions for retailers to enhance post-purchase experience, including automated customer service, returns, fulfillment, and fraud detection. The company works with over 1,000 merchant partners across various industries and is backed by prominent technology investors.
Own and evolve the marketing data platform, designing and maintaining ETL/ELT pipelines on BigQuery and dbt that scale with growing measurement needs.
Design, build, and deploy AI agents and applications on Google Cloud to automate marketing and product workflows, giving teams self-serve leverage.
Uphold engineering best practices across an AI-assisted codebase, ensuring version control, code review, automated testing, and secure, reproducible deployments.
Absorb Software is a leading AI-driven learning platform provider, helping organizations unlock workforce potential through strategic learning systems. Trusted by over 3,300 organizations and 34 million users, the company fosters a culture of genuine care, unity, and continuous learning.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.
Lead the modernization of the data platform by migrating legacy Hadoop, Spark, and Impala pipelines to a scalable Databricks architecture.
Accelerate migration efforts using AI coding assistants like Claude and Codex to convert SQL and modernize ETL workflows.
Design and optimize scalable data pipelines with Airflow and Databricks, ensuring reliability, cost-efficiency, and data quality.
LivePerson is a leader in enterprise conversational AI and digital transformation, powering nearly a billion conversational interactions monthly. Fast Company named them the #1 Most Innovative AI Company, and they foster a remote-first, innovative culture.
Design and deliver data solutions for capacity planning, observability, and AI.
Build scalable data pipelines, integrate multiple sources, and ensure data quality.
Work with large volumes of data, collaborate with teams, and support dashboards and analytical tools.
The hiring company is a technology firm focused on data engineering and analytics. It offers a fully remote, collaborative environment for a 12-month project.
Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
Develop curated data models and products to support analytics, AI workloads, and operational use cases.
Collaborate with AI, Analytics, and Product teams to deliver high-quality, scalable data solutions.
RemoFirst offers a platform that provides people management tools and employee benefits, enabling companies to hire talent globally. It is one of the fastest-growing private companies in the USA, backed by $40M+ in venture funding, with a fast-paced startup culture.
Own funnel monitoring, diagnose drop-off drivers using SQL and Python, and deliver actionable recommendations.
Build and maintain dbt data models in Snowflake and Periscope dashboards for marketing reporting.
Partner with cross-functional teams and use AI tools to accelerate analysis while ensuring correctness.
NinjaHoldings provides digital banking and lending products to empower people overlooked by traditional financial institutions. They are a lean, innovative team with offices in Chicago, Miami, and globally.
Leverage AI-assisted data quality practices including GenAI-based rule generation, intelligent anomaly detection, and automated triage of data quality issues.
Develop and automate data quality checks using SQL and Python in Snowflake, implementing validation and reconciliation across batch and streaming pipelines.
Build reusable data quality automation components and mentor team members on best practices and AI-driven frameworks.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. It is led by top industry talent and physician leadership, consisting of scalable operations and end-to-end cloud-based technology.
Design and optimize modular dbt pipelines and performant technical schemas to set the team standard for data modeling.
Act as a technical bridge between Analytics, Operations, and Data Engineering to transform product requirements into robust data assets.
Diagnose performance bottlenecks and lower warehouse compute costs across modern data platforms, supporting migration to Snowflake.
Rula is a mental healthcare company dedicated to providing quality, evidence-based care to empower individuals. It is a remote-first company hiring in most U.S. states, with a culture focused on inclusion and employee well-being.
Analyze and process large datasets to support business intelligence and product development.
Design and maintain data pipelines and infrastructure for efficient data flow.
Collaborate with cross-functional teams to implement data-driven solutions.
Tucows is a technology company that provides domain registration, internet services, and mobile connectivity solutions. It operates through its brands Ting, Wavelo, and Tucows Domains, and fosters a culture of inclusion with a focus on community and innovation.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.