Own hands-on technical contribution, team leadership, and delivery accountability for the engineering organization.
Manage technical execution, architecture, engineering quality, and production reliability with a focus on security.
Partner cross-functionally with product, customer experience, and leadership to drive platform vision.
Authorium is a high-growth GovTech SaaS company that helps government agencies modernize administrative operations by replacing legacy systems with a unified platform. The team is small but growing, moves fast, and collaborates across on-shore and off-shore squads to deliver mission-critical software.
Own the multi-year technical strategy for Data Labs, mapping AI training trends into a roadmap for benchmarking and data pipelines.
Lead engineering managers, FDEs, and Staff+ ICs, building a rigorous, client-focused engineering culture.
Partner with research, product, and commercial teams to shape offerings and advise clients.
Invisible Technologies makes AI work through an end-to-end platform that structures data, automates workflows, and integrates human expertise. Profitable for half a decade, we hit $134M revenue and ranked #2 fastest growing AI company on the 2024 Inc. 5000.
Design and build the hardest parts of the platform, setting technical direction across teams.
Integrate AI models, data pipelines, and event-driven systems on Databricks and Snowflake.
Maintain quality through code reviews, automated testing, observability, and CI/CD.
OAG is the essential intelligence partner transforming global travel, combining unmatched data quality with breakthrough technology. The culture is progressive, non-hierarchical, and innovation-driven, with flexible working and inclusive family benefits.
Lead and develop a high-performing data engineering team, setting technical direction and performance expectations.
Own data architecture, pipelines, data products, and governance to evolve LTK's data ecosystem.
Partner with Product, Analytics, Finance, and Engineering to translate business priorities into reliable, scalable solutions.
LTK is a global technology platform that empowers lifestyle creators to monetize their content, connecting brands, creators, and shoppers. It is a remote-first company with 40M+ monthly consumers and 8,000+ retail partners, headquartered in Dallas, TX.
Build speech and text pipelines, LLM workflows, and integrations the client runs on.
Deploy to the client's cloud, instrument what you ship, and fix what breaks.
Write the tests, evals, and docs that keep it working after the engagement ends.
Lunon is an AI-native consulting firm that embeds engineers inside businesses to ship software. The team is young, fast-moving, and owns what they ship end to end, working with the newest tools.
Build at the customer site: write production-quality agents, integrations, and data pipelines on Redpanda ADP inside the customer’s environment and codebase.
Work in unfamiliar territory fast: ramp quickly in new codebases, data environments, and constraints.
Own the technical deliverable from design to handoff, ensuring it is documented, maintainable, and running in production.
Redpanda is the first runtime and control plane for agent-data interaction, combining streaming, SQL analytics, and intelligent connectivity with governance for enterprise AI agents. It is a fast-moving, diverse, people-first organization with team members around the globe, trusted by Fortune 500 companies and startups.
Lead architecture and technical decision-making across the data lifecycle, from ingestion to consumption by products and AI.
Drive modern engineering approaches through proofs of concept, technology evaluation, and reimagining solutions for scale.
Mentor engineers and build a culture of strong software engineering practices, experimentation, and shared technical ownership.
Applied Systems provides software, data, and intelligent systems that connect agencies and carriers across the insurance lifecycle. With 40+ years in insurtech, the company builds on a culture of learning, experimentation, and shared ownership.
Lead and mentor a growing team of data engineers, own hiring and onboarding, and set engineering standards.
Design, build, and maintain scalable data pipelines using GCP, Python, BigQuery, dbt, Airflow, and more.
Drive AI adoption across engineering workflows, ensuring data is AI-ready and quality standards are met.
Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.
Lead the team in roadmapping and executing machine learning features and products.
Improve team pace through technical expertise and pragmatic tradeoffs.
Drive recruiting, reliability, and growth of team members.
Hightouch helps companies sync data into their SaaS systems to automate and improve operations. They are a remote-first company with hundreds of customers and a culture focused on engineering excellence.
Lead Covera Health's Engineering and Platform/IT organizations, owning technology architecture, standards, and execution.
Partner with the CPTO to turn product and company strategy into technical execution.
Build and scale a technology organization of ~30, staying closely involved in design reviews and complex technical decisions.
Covera Health combines clinical expertise, advanced AI, and one of the industry's largest radiology quality datasets to improve diagnostic accuracy. Backed by Insight Partners, the platform supports nearly 6 million people and fosters a culture of meaningful work and ambitious teammates.
Lead customer technical projects to deliver production-grade data and AI solutions on the Databricks platform.
Design and architect end-to-end systems spanning data engineering, AI, and application development.
Work hands-on with customers, guiding architecture and empowering adoption through training and implementation.
Databricks is the data and AI company, offering a unified platform for data engineering, analytics, and AI. With more than 20,000 customers including 70% of the Fortune 500, the company is headquartered in San Francisco with 30+ offices globally.
Lead architecture and implementation of high-impact data pipelines across AI usage, Unit Economics, and enterprise applications.
Define data models for AI adoption, consumption, and spending with stakeholders across the organization.
Protect data accuracy through automated testing, reconciliation, anomaly detection, and monitoring.
Airbnb is an online marketplace that connects hosts offering unique stays and experiences with guests worldwide. It has grown to over 5 million hosts and welcomes over 2 billion guest arrivals, with a culture that values trustworthy data, thoughtful architecture, and engineering rigor.
Lead three highly technical teams spanning machine learning engineering, computer vision, forecasting, and data platform.
Ensure machine learning systems move reliably from research to production with measurable real-world impact.
Manage, mentor, hire, and grow the department of engineers and data engineers across three distinct teams.
Apella Technology applies machine learning to surgical healthcare operations, using computer vision and forecasting to improve clinical workflows. The company fosters a remote culture and is an equal opportunity employer, encouraging diverse backgrounds to apply.
Own high-impact ranking models powering personalized feeds and digest emails.
Work across the full ML lifecycle, from data pipelines to production deployment.
Collaborate with a distributed engineering team on modern recommendation techniques.
They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.
Own customer deployments end to end, working directly with customers to turn business problems into software.
Build automated, normalized pipelines on top of messy real-world supply chain data and shape optimization logic and models.
Wire Atomic into customer systems and partner platforms while building interfaces and AI features for plan analysis.
Atomic is rebuilding the brain behind the American supply chain with an AI-native stack, delivering operations optimization for customers. We're looking for first-principles thinkers who want to write code that drives the physical world and work directly with customers who run it.
Set multi-quarter technical direction for the data platform and drive alignment on large ambiguous cross-functional projects.
Architect and build scalable, robust data platforms serving analytic and operational needs across the organization.
Champion AI-assisted development practices and improve systems' performance, observability, and reliability.
GameChanger builds the first and best place to experience youth sports moments, helping families elevate the next generation through sports. We are a remote-first, dynamic tech company based in New York City, solving big challenges in youth sports.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Lead and mentor a team of software engineers building scalable machine learning infrastructure.
Define and own the multi-quarter technical strategy for data generation, orchestration, and distributed training.
Represent the Scalable ML team in org-level planning and architecture decisions, resolving cross-team tradeoffs on shared infrastructure.
Latitude AI is building the future of Ford's autonomy roadmap, developing a fully in-house hands-free ADAS platform. As a Ford Motor Company subsidiary, it operates independently like a technology startup with engineering centers in Pittsburgh, Dearborn, and Palo Alto.
Set and refine the go-forward technical direction for CI, CD, Plan, and source code experiences, aligned with horizontal architectural initiatives.
Lead the hardest design decisions hands-on, writing code and prototypes, and drive convergence on shared patterns and paved paths.
Mentor senior engineers, raise the bar on design rigor, and contribute to the technical hiring bar for senior individual contributors.
GitLab provides the intelligent orchestration platform for DevSecOps, enabling organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. With over 50 million registered users and more than 50% of the Fortune 100 as customers, GitLab fosters a high-performance culture driven by values and continuous knowledge exchange.
Lead, mentor, and scale a global data engineering team while driving architecture, engineering standards, and delivery.
Design and build scalable data pipelines and models using GCP, BigQuery, Python, SQL, dbt, and Airflow.
Champion AI adoption across engineering workflows and partner with stakeholders to deliver data-driven solutions.
The company is building a modern data engineering foundation to power analytics and AI readiness on cloud data platforms. It fosters a people-focused, collaborative culture emphasizing trust, inclusion, and professional growth.