Work closely with engineers, product managers, and field team members to ensure Snorkel's frontier AI datasets meet and surpass the capabilities of the most advanced foundation models.
Own the architecture, design, development, and operations of large-scale systems designed for AI/ML tasks including distributed compute systems, data management systems, and data engineering workflow systems.
Prototype, optimize, and maintain scalable back-end services that will power new foundation model development tools.
JavaTypeScriptRelational DatabasesDistributed Systems
Design and scale reliable systems that process large volumes of customer warehouse data.
Use AI coding tools to multiply your output and review AI output critically.
Build shared AI workflows, guardrails, and review standards to accelerate the team.
Keebo automatically optimizes cloud data warehouses for Snowflake and Databricks to control compute costs without hurting query performance. We are a venture-backed, fully remote team built on database and ML research, using AI-first engineering practices.
Design, build, and operate AI systems and agentic workflows that connect foundation models to data, tools, and applications.
Own production quality: observability, testing, security, and cost built in from the start.
Define reusable patterns and drive architecture decisions across quality, risk, and cost.
Workleap is a Montreal-based tech company founded in 2006, making simple products that matter for work, including Workleap Agent and ShareGate. With over 15,000 companies trusting us, we value builders, pragmatism, and reliable delivery, and are intentional about who joins.
Design, build, and ship backend services for AI-powered service experiences in Jira Service Management.
Own complex tasks end-to-end, from technical design through rollout, validation, and post-launch improvements.
Collaborate across functions to turn ambiguous customer problems into scalable backend and ML-supported solutions.
Atlassian builds software products that help teams collaborate and unleash their potential. With a global team and a culture that values unique contributions and diversity, Atlassian offers flexible work options to support its employees.
Design and develop product features aligned with the product and engineering roadmap.
Build platform capabilities enabling AI agentic workflows including tool-calling APIs and workflow orchestration.
Scale APIs and workflows with fault-tolerance, high-availability, and scalability.
Celonis provides a trusted platform to industrialize Enterprise AI by creating a living digital twin of the enterprise. With over 20 offices worldwide, Celonis fosters a culture of innovation, ownership, and inclusion.
Lead high-impact AI/ML and data engineering projects across ASG's portfolio companies.
Build hands-on LLM-powered tools, data pipelines, and ML systems.
Partner with portfolio companies to commercialize data and drive AI adoption.
ASG is an unconventional group of market-leading SaaS software companies serving industries from behavioral health to childcare. It has acquired over 50 businesses since 2016 and is backed by Alpine Investors, operating with a PeopleFirst culture.
Build labeled evaluations from real agent activity and publish monitor precision and recall.
Run monitors across customer fleets and identify unread events.
Turn patterns into proposed policies and refinements for security engineers.
Sondera develops a policy engine for AI agents that enforces natural-language rules to ensure agents act as intended. The team includes veterans from top security and AI companies and is backed by leading venture firms, emphasizing a remote, writing-intensive culture.
Own a domain service end to end: schema, gRPC API, workflows, event consumers, tests, and documentation.
Design tables and queries; write replay-safe, idempotent workflows that survive partial failure.
Review pull requests from humans and agents; carry your service through production incidents.
Maximum Technologies is an AI infrastructure company for banks, building a core banking platform from the ground up. The company emphasizes end-to-end ownership, rigorous testing, and collaboration, fostering a culture of mentoring and continuous learning.
Lead the design and delivery of complex, cross-functional features across the product, from architecture through production operations.
Build AI-native capabilities including agent loops, prompt and context design, retrieval, and evaluation harnesses.
Mentor senior and mid-level engineers and set standards for code quality, observability, and safe AI usage.
ServiceNow is an AI control tower for business reinvention, bringing together AI, data, and workflows to help 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent are unstoppable together.
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.
Ship end-to-end features across backend and mobile for aging-in-place products.
Collaborate with AI tools like Claude Code to accelerate development and codify AI-native practices.
Take ownership from design to production, mentoring peers and supporting performance.
Life360 provides mobile app and tracking devices to help families protect loved ones and coordinate daily life. With over 107 million monthly active users across 180+ countries, the company is remote-first with more than 500 employees and a culture focused on innovation and safety.
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.
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.
Build and scale the core infrastructure powering Vectara's AI agent platform.
Lead backend services, CI/CD, and observability initiatives with a focus on reliability.
Mentor team members and champion best practices in code quality and DevOps.
Vectara is an AI agent platform that builds secure, scalable infrastructure for AI-powered search and assistants. The team values engineering excellence, automation, and collaboration as they scale their platform.
Ship end-to-end AI products: transform ambiguous business challenges into scalable, production-grade AI features and applications.
Build persistent and compliant AI memory architectures using vector stores like Pinecone and Pgvector.
Unify fragmented enterprise data by developing pipelines integrating CRM, ERP, and marketing platforms for reliable AI agent sources.
Nortal is a global digital transformation company that delivers complex solutions for enterprises and public sector organizations. With over 25 years of experience, it fosters a culture of autonomy, open communication, and respect for diversity, working as a close-knit remote team across LATAM.
Design and ship LLM-powered features and autonomous agents that author, diagnose, and repair tests.
Build RAG and retrieval systems over test artifacts, logs, traces, DOM snapshots, and code.
Own backend systems in Java or Go, including orchestration, scheduling, and high-concurrency services.
Element34 builds an AI-native platform for the end-to-end test lifecycle, with SBOX for large-scale test execution on customer infrastructure. We are a small, senior engineering team with no management layers and a strong ownership culture.
You'll deliver the product roadmap, designing and shipping new capabilities across messaging, voice and carrier integrations.
You'll own features end to end from design through testing, release and monitoring in production.
You'll keep services reliable at scale by watching performance and failure behavior.
Telegent builds AI-native workflows on mobile networks, enabling headless programmability for call routing and messaging without SIM cards. The culture values fast, high-quality code delivery, offering meaningful work on unique technology with a focus on rapid innovation.
Design and oversee data architecture and pipelines for structured and unstructured data.
Build automated data transformation tools using ML and data-engineering techniques.
Define evaluation metrics and build agentic evaluation pipelines for AI workflows.
ServiceNow provides an AI platform for business reinvention, helping 85% of the Fortune 500 work smarter. The company fosters an AI-native culture where technology and talent combine to put AI to work for people.
Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and EDA.
Define evaluation criteria and agent architectures for multi-step engineering workflows.
Build benchmarks and diagnostics to identify model failures and trace back to gaps in data or agent design.
Mistral is a full-stack AI company building frontier models, developer tools, and compute for enterprises. We are a diverse, dynamic team distributed globally, passionate about AI and committed to low-ego collaboration and innovation.
As a Senior Staff Engineer, you'll lead the architecture of Optimizely Analytics' query compilation engine and NetScript DSL.
You'll drive technical excellence, collaborating with Product and UX teams to deliver scalable features.
You'll mentor engineers and address complex challenges like query optimization and fault tolerance.
Optimizely provides AI-powered marketing tools including content creation, CMS, and experimentation platforms. With 1,600+ employees across 12 global offices, the company fosters a collaborative and human-centric culture.