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.
Lead a team producing high-quality training data and evaluations for advanced AI models.
Review engineering-domain work, uphold quality standards, and drive operational improvements.
Coach and develop AI Tutors while collaborating with engineering and human data teams.
Jobgether is an AI-powered job platform that connects candidates with partner companies using objective matching. This role is with a partner company focused on AI training data, offering a collaborative, remote-first environment emphasizing autonomy and continuous learning.
Lead a team of AI Tutors to deliver high-quality training data and evaluations for SpaceXAI's models.
Own end-to-end quality and delivery for Human Data projects, reviewing work and ensuring consistency.
Coach, performance-manage, and develop talent while improving operational processes.
SpaceXAI creates AI systems to understand the universe and aid humanity. The team is small, highly motivated, and focused on engineering excellence with a flat structure.
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.
Lead and coach a team of AI Tutors while staying hands-on with reviewing, evaluating, and improving technical work.
Establish quality standards, monitor KPIs, and implement scalable improvements across data labeling and annotation workflows.
Partner with data and engineering stakeholders to translate AI model requirements into effective operational strategies.
They build and maintain high-quality human-generated data that supports advanced AI model development. The company has a fast-paced, collaborative, and highly autonomous culture focused on technical excellence and continuous improvement.
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 the strategy and direction of a high-impact Machine Learning and AI function, shaping innovation and production capabilities.
Build and develop a high-performing ML organization while fostering a culture of accountability, inclusion, and technical excellence.
Partner across Engineering, Product, and Research to ensure responsible, secure, and production-ready AI systems involving sensitive data.
The company is a mission-driven technology organization applying advanced machine learning and AI to complex challenges with meaningful social impact, including keeping children safe. It fosters a remote-first, collaborative, and inclusive culture with multidisciplinary teams.
Lead the engineering foundation behind reliable, measurable, and scalable AI-powered features.
Build evaluation frameworks, observability tooling, and diagnostic infrastructure for AI agents in production.
Combine hands-on software engineering with technical leadership and people management.
The company builds AI-powered products with a focus on reliability, scalability, and evaluation infrastructure. It operates as a fully remote, globally distributed team with an ownership-oriented culture.
Own Merlin's foundation and world-model work, including architecture selection, post-training, and capability roadmap.
Lead and mentor a small team of world-model engineers, setting the technical bar and review culture.
Design model interface to the autonomy stack with structured, schema-constrained plan outputs and build evaluation harnesses.
Merlin is a publicly traded aerospace and defense company building a non-human pilot for full-stack aircraft autonomy. Headquartered in Boston, it is expanding its organization to accelerate the deployment of its autonomy platform.
Lead, mentor, and grow a high-performing team of engineers, including hiring and career development.
Set technical direction and roadmap, translating ambiguous product and customer needs into clear priorities.
Stay deeply engaged in architecture and partner with cross-functional teams to drive complex initiatives from idea to production.
Federato is an AI-native platform bringing agentic AI to the full insurance policy lifecycle, transforming how insurance work gets done. Having raised $180 million and growing fast globally, the company values speed, first-principles thinking, and a fun, collaborative culture.
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.
Design, build, and productionize machine learning and agentic AI functionality.
Partner with product engineering squads to embed AI capabilities into Arkestro's product.
Contribute to AI/ML architecture decisions and own evals and ground truth for your projects.
Arkestro's Predictive Procurement Platform applies AI, game theory, and behavioral science to enterprise negotiations, helping teams move from reactive supplier bidding to data-driven offers. It is a hyper-growth, remote-first startup with a collaborative culture focused on meaningful work and significant impact.
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.
Own the vision for applied AI solutions across Reddit's business and technical functions.
Build AI applications, agents, and automations that solve real business problems.
Mentor engineers and set technical direction for AI-native workflows.
Reddit is a community of communities, hosting open and authentic conversations on the internet. With 100,000+ active communities and approximately 130 million daily active unique visitors, it is one of the internet's largest sources of information.
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.
Lead a team of AI Tutors to create high-quality medical training data for advanced AI systems.
Apply hands-on medical expertise to review work, ensure quality, and improve operations.
Partner with engineering to translate AI model requirements into effective labeling strategies.
The company is a partner organization focused on producing high-quality training data for advanced AI systems. It operates as a globally distributed team with a collaborative, high-autonomy culture.
Design high-performance training platform components including orchestration, observability, and performance tuning.
Deliver end-to-end ML pipelines from dataset curation to training, validation, and deployment.
Drive technical direction across ML Platform, Infrastructure, Autonomy, and Safety teams.
Stack is developing revolutionary AI and advanced autonomous systems for safer, more reliable, and efficient operations, focusing on autonomous trucking. The Stack team brings decades of experience in real-world systems and is committed to a culture of inclusion, entrepreneurship, and innovation.
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 a small engineering team as a hands-on player-coach, setting technical direction and owning delivery.
Ship AI-powered features to production while raising standards across observability, testing, security, and architecture.
Partner with Product and leadership to plan, prioritize, and follow through on complex technical work.
Usersnap is building AI-driven capabilities into its product, from automated setup to intelligent surveys and reporting. It is part of saas.group, a remote portfolio of 380+ SaaS professionals across 50+ countries, with a high-trust, flexible culture.
Architect and own marketing data infrastructure: ETL/ELT pipelines, Databricks Gold Layer tables, and core data models.
Design semantic layers, data dictionaries, and documentation that enable self-serve BI and conversational analytics.
Lead cross-team initiatives and drive AI-enabled data products and agents from concept to production.
Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, helping organizations that run physical operations harness IoT data to improve safety, efficiency, and sustainability. As a recently public company, it offers a high-growth, collaborative culture with autonomy to make an impact.