Lead and grow a team of senior engineers building the declarative deployment framework for Databricks’ Developer Ecosystem, overseeing product strategy, roadmap, and operational excellence.
Responsibilities
Lead and grow a team of senior engineers across three areas
Shape how developers and AI agents author, validate and deploy projects
Partner with Product and Design to set a multi-quarter roadmap
Own reliability, on-call health, incident response and quality bar for the tool
Drive alignment with platform teams and sibling teams in Developer Ecosystem
Responsible for the entire application lifecycle of trading systems, including monitoring, API bridge, and custom integrations, while working with AI coding agents and maintaining production safety.
Responsibilities
Analyze, implement, maintain and operate trading system applications
Participate in on-call and actively monitor and resolve issues
Write specifications, direct AI coding agents, review and test generated code
Ensure strict typing, linting, testing and CI checks
Integrate third‑party trading platforms via Kafka, FastAPI, and database backends
Requirements
Bachelor's degree in Computer Science or related field
Develop AI products that draw on people's experiences and knowledge to support learning, decision-making, and invention within Woven City.
Compensation
Competitive Salary - Based on experience
Responsibilities
Work with users and stakeholders, including UX research specialists, to clarify problems and intended value, and translate them into requirements and development tasks that can be implemented and validated
Design and implement features that combine web applications, backend APIs, databases, and LLMs
Understand the meaning, context, and sources of Japanese documents and conversational data, and establish workflows for collecting, processing, and using them
Use user feedback and usage logs to evaluate AI output quality and usefulness
Prepare your area of responsibility for release, including testing, required reviews, monitoring, and incident response
Requirements
Nice to have: Voice interactions
Nice to have: Real-time processing
Nice to have: Conversational agents
Nice to have: Retrieval-augmented generation (RAG)
Lead the Unified API group, overseeing two teams responsible for core payment APIs, blockchain infrastructure, and agentic payment solutions, driving technical strategy and engineering delivery.
Responsibilities
Lead and develop engineering teams responsible for core payment APIs, blockchain, and agentic payment solutions
Manage and mentor engineers and an Engineering Manager
Oversee engineering delivery across multiple teams
Drive talent development through coaching, performance management, career development, and hiring
Ensure the reliability and operational excellence of production systems
Requirements
Nice to have: Managing Engineering Managers
Nice to have: Developing or overseeing production AI-agent systems
Take ownership of security across an innovative AI-powered platform where autonomous agents perform complex tasks involving code, research, and business operations.
Locations (2)
United States, United States
Barcelona, Catalonia, Spain
Compensation
Competitive equity opportunities.
Responsibilities
Establish security priorities and drive remediation efforts through to verified completion
Identify application vulnerabilities through code reviews, penetration testing, and specialized red-team exercises targeting AI agents
Conduct hands-on security assessments across applications, APIs, cloud infrastructure, and AI-powered workflows
Collaborate with ITOps, Platform, and Product Engineering teams to strengthen infrastructure security and integrate security controls into delivery pipelines
Design and implement automated security checks within existing development workflows, reducing reliance on slow or blocking manual application security reviews
Join a fully remote, AI-first engineering team building intelligent systems that optimize cloud data warehouse performance and costs. Design and scale reliable systems that process large volumes of customer data while helping shape the next generation of automated cloud products.
Compensation
Annual base salary of $170,000–$200,000 USD for U.S.-based candidates.
Responsibilities
Design and develop reliable, scalable systems capable of processing large volumes of customer warehouse data.
Use AI coding tools and agents effectively by creating clear specifications and context, managing parallel workstreams, and critically reviewing generated code.
Develop shared AI workflows, guardrails, and review standards to improve engineering productivity and maintain software quality.
Evaluate emerging AI tools and models, identify valuable solutions, and share recommendations with the engineering team.
Write clear architecture and technical documentation explaining system designs, trade-offs, and implementation decisions.
Requirements
Nice to have: Snowflake
Nice to have: Databricks
Nice to have: Angular
Nice to have: AI agents
Nice to have: Model Context Protocol (MCP) servers
Join a technology-driven team building the next generation of AI-powered marketing infrastructure. In this role, you will strengthen and evolve the systems that support complex marketing operations, lead management, and data governance.
Responsibilities
Design, build, and operate the next generation of marketing technology while ensuring existing systems remain reliable throughout the transition.
Develop a unified lead intake platform that captures leads from websites, portals, webinars, events, partners, and imported lists, ensuring validation, deduplication, consent management, and enrichment.
Build AI-powered lead qualification and scoring capabilities using signals such as product usage, learning activity, website behavior, intent data, and company information.
Create intelligent lead routing systems that assign prospects based on territory, team capacity, availability, and priority, with transparent decision records.
Improve lead hand-offs by tracking each prospect from initial capture to first sales interaction, identifying delays, and ensuring timely follow-up.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline
Join a technology-driven team building the next generation of AI-powered marketing infrastructure. In this role, you will strengthen and evolve the systems that support complex marketing operations, lead management, and data governance.
Responsibilities
Design, build, and operate the next generation of marketing technology while ensuring existing systems remain reliable throughout the transition.
Develop a unified lead intake platform that captures leads from websites, portals, webinars, events, partners, and imported lists, ensuring validation, deduplication, consent management, and enrichment.
Build AI-powered lead qualification and scoring capabilities using signals such as product usage, learning activity, website behavior, intent data, and company information.
Create intelligent lead routing systems that assign prospects based on territory, team capacity, availability, and priority, with transparent decision records.
Improve lead hand-offs by tracking each prospect from initial capture to first sales interaction, identifying delays, and ensuring timely follow-up.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline
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