Leads and grows the Semantic Layer engineering team responsible for MetricFlow, setting technical direction, owning delivery, and stewarding an open-source project. Requires engineering management experience, production software expertise, and familiarity with SQL, analytical query systems, and compilation or transformation technologies.

Leads and develops an engineering team responsible for internal automations, developer productivity tools, and scalable engineering systems. The role combines people leadership with technical direction, roadmap ownership, architecture guidance, and occasional hands-on contribution.

Leads and develops a regional Customer Solutions Engineering team providing technical support to enterprise dbt Cloud customers. The role focuses on support operations, customer adoption and retention, cross-functional collaboration, and coaching high-performing technical teams.

Leads and scales model governance for financial institution customers, overseeing a team while owning validation, monitoring, regulatory readiness, and customer relationships. Requires 8+ years in model risk or quantitative risk, 4+ years managing people, technical fluency, and a quantitative bachelor's degree.

Leads and scales a model governance function for fraud and identity risk models, managing a team while owning validation, monitoring, regulatory compliance, and customer relationships. Requires 8+ years in model risk or quantitative risk and 4+ years of people management.

Leads the engineering organization and roadmap for Hover’s estimating product, managing a six-engineer team while guiding architecture, pricing logic, enterprise customer delivery, and team growth. Requires 10+ years of software engineering experience and 4+ years managing engineering teams.

Leads the Singapore engineering team while providing Staff-level ownership of scalable brokerage and platform architecture for new markets. The role combines people leadership, backend and distributed-systems expertise, operational excellence, and collaboration with product, compliance, and global engineering stakeholders.

Leads a team of 4–8 software engineers building and maintaining reliable database and infrastructure systems for Datadog’s OrgStore platform. The role combines people management, technical roadmap ownership, code and design leadership, project coordination, and cross-functional collaboration.

Manages engineers and execution for a core observability pipeline mission, partnering with Product on roadmap and technical strategy. The role requires experience in engineering management, distributed systems, data infrastructure, customer-installed software, and high-performance or Rust-based data pipelines.

Leads engineering across Digital Experience Monitoring product areas, managing 50–60 engineers through Engineering Managers while shaping product strategy and driving AI adoption. Requires experience managing managers, large-scale data-intensive systems, and full-stack or frontend-adjacent products.

Leads and develops an engineering team responsible for secure, scalable source-code integration platform services. The role combines people management, backend systems expertise, stakeholder prioritization, and hands-on technical leadership.

Leads a software engineering team responsible for scaling Husky, Datadog’s distributed columnar event store. The role combines people management, technical leadership, product partnership, and operational ownership, with experience in distributed systems and Java or Go preferred.

Leads and develops Premier Support Engineering teams, overseeing people management, performance, team initiatives, and high-priority customer escalations. The role requires prior team leadership, including managing managers, plus programming experience and basic Linux knowledge.

Leads a team of library engineers building and operating security integrations across multiple languages and proxy platforms. The role combines people management, product and roadmap ownership, technical contribution, and cross-functional delivery for runtime security products.

Leads and grows the Training & Serving engineering team responsible for distributed foundation-model training, large-scale serving, and AI development infrastructure. The role requires hands-on backend, data engineering, and infrastructure expertise alongside team leadership and roadmap ownership.

Leads and grows an engineering team building Infrastructure as Code and Secrets security products. The role combines people management, roadmap ownership, hands-on technical decision-making, AI-enabled development, and cross-functional collaboration.

Leads engineers and applied scientists building cost-efficient specialized AI models and security capabilities from research through production. The role requires people leadership, deep AI/ML expertise, strong evaluation practices, and product judgment for taking AI initiatives from 0 to 1.

Leads a four-person engineering team building AI-powered code coverage and developer tooling. The role combines people development, technical direction, product collaboration, hands-on architecture, and on-call participation, with experience in Java or Go and distributed systems required.

Leads and grows Datadog’s Evaluation & Annotation engineering team, defining its technical roadmap and building systems for AI model evaluation, human annotation, synthetic data, storage, and data pipelines. The role combines people leadership with hands-on technical contribution.

Leads and grows a Paris-based engineering team building large-scale, real-time sensitive data detection across logs, APM, and RUM telemetry. The role combines people management, hands-on technical leadership, product collaboration, and customer-focused delivery.

Leads the Guidance and Control team responsible for developing, integrating, qualifying, and flight-testing autonomy and control algorithms for unmanned aerial systems. Requires substantial engineering leadership experience, controls expertise, and a track record of shipping products and developing high-performing teams.

Leads software engineering teams responsible for monetization systems, partnering with product, design, data science, and ML to deliver measurable revenue impact. The role requires experience managing engineers, shipping experimental products, and improving reliability, scalability, and observability.

Leads and develops a team responsible for AWS cloud foundations and Kubernetes infrastructure, while setting priorities for reliability, security, scalability, and cost management. Requires substantial cloud-platform experience, production Kubernetes expertise, AWS knowledge, and engineering people-management experience.

Leads backend product engineering teams, technical strategy, and delivery for an AI-powered application. The role requires 12+ years of backend software engineering experience, 3+ years managing engineering teams, and expertise in scalable cloud-native systems and RAG pipelines.

Leads the Autonomous Behaviors and Agents engineering team, setting technical direction and delivering real-time multi-agent planning and optimization systems for mission-critical autonomy. Requires substantial modern C++ experience, algorithmic depth, and demonstrated engineering leadership.

Leads and grows an engineering team building a scalable AI application platform, providing architectural direction and hands-on technical leadership across distributed systems infrastructure. The role requires extensive experience with cloud services, team management, production systems, and high-scale compute or data processing.

Leads MongoDB’s EMEA Incident and Escalation Management teams, directing high-severity customer incidents while building global processes, teams, and continuous-improvement programs. Requires 10+ years in technical post-sale leadership and 4+ years leading incident response or escalation functions.

Leads a team of Partner Solution Architects across the APAC partner ecosystem, driving strategic relationships, technical alignment, joint solutions, and business growth. Requires extensive partner-management or solution-architecture experience, substantial leadership experience, and a bachelor’s degree or equivalent.

Leads an engineering team building and improving MongoDB Atlas growth experiences, while contributing to distributed backend systems and modern web applications. The role requires at least five years of software development experience, people-management experience, cloud expertise, and familiarity with analytics and experimentation.

Leads a founding engineering team building and operating MongoDB integrations across rapidly evolving AI frameworks. The role combines people leadership, technical direction, hiring, production ownership, and cross-functional collaboration across developer tooling and open-source ecosystems.

Leads the Server Ingress Security team, managing engineers while guiding the design and operation of security-critical networking services in Rust. The role requires substantial systems software experience, engineering management expertise, and strong judgment in security-sensitive domains.

Leads a platform engineering team responsible for building and operating MongoDB’s self-service internal developer platform. The role combines people management, large-scale distributed systems ownership, backend development, Kubernetes operations, observability, and cross-functional infrastructure planning.

Leads and grows a senior SRE team responsible for the reliability, durability, capacity, and operational safety of MongoDB Atlas’s multi-tenant cloud storage layer. The role combines people management, technical strategy, hands-on architecture, and large-scale distributed systems operations.

Leads a team of cloud support engineers responsible for diagnosing complex MongoDB Atlas issues, advising customers on architecture, and managing escalations. The role requires technical support leadership, people-management experience, and strong customer advocacy in a cloud or database environment.

Leads and grows a new engineering team building MongoDB Atlas data federation and archiving capabilities. The role combines people management with hands-on architecture and development of large-scale distributed backend and storage systems.

Leads the developer experience organization responsible for internal platforms, tooling, golden paths, and workflows that improve engineering productivity and operational excellence. The role requires engineering people-management experience, strong platform or infrastructure expertise, and a product-minded, data-informed approach.

Leads the data platform organization, owning architecture, reliability, tooling, and scalability across ingestion, transformation, and trusted data models. The role requires 10+ years of data experience, management expertise, and hands-on knowledge of modern data platforms.

Leads machine learning engineering teams responsible for relevance, personalization, and video discovery systems serving Reddit’s core product. Requires 5+ years managing ML teams, hands-on experience with production ML systems, and strong recommender-systems expertise.

Leads the company’s engineering vision, architecture, and execution while managing a distributed US/India organization. The role requires extensive software engineering and senior technology leadership experience, SaaS scaling expertise, and a strong background in cloud infrastructure, security, and AI/ML adoption.

Leads a distributed engineering team responsible for shared backend infrastructure, frameworks, and services supporting highly available authentication and authorization products. The role combines people management, technical guidance, resilience strategy, architecture, and operational reliability.

Leads engineering teams building AI-powered compliance automation, scalable cloud services, and distributed systems. The role requires extensive software engineering and management experience, including managing managers, with hands-on technical leadership and a focus on productionizing LLM applications.

Leads Perplexity’s London engineering site, building and managing infrastructure and AI infrastructure teams while setting technical direction for reliable, scalable AI/ML systems. Requires 10+ years of software engineering experience, substantial infrastructure expertise, and people-management experience.

Leads two engineering squads building data infrastructure for global football and rugby analytics products. The role combines people management, platform and API architecture, product delivery, and AI-first engineering, requiring at least three years of engineering management experience and strong technical depth.

Leads a small Lakebase engineering team while remaining hands-on with architecture, coding, and distributed-service reliability. The role requires at least five years of engineering experience, technical leadership, people-management readiness, and a bachelor's degree or higher.

Leads and develops a regional team of Delivery Solution Architects responsible for post-sales technical strategy, customer architecture, and accelerating enterprise data and AI workloads into production. Requires 7+ years of customer-facing experience and technical post-sales leadership in SaaS and data platforms.

Leads a regional Data & AI technical solutions team supporting customer production workloads across APJ and EMEA. The role combines people leadership, customer-facing troubleshooting, data engineering expertise, and collaboration with product engineering to improve reliability and adoption.

Leads the engineering team and cross-organizational initiatives responsible for secure, consistent Unity Catalog runtime enforcement across Databricks compute engines and clouds. The role requires extensive distributed-systems experience, security expertise, operational maturity, and technical leadership.

Leads the organization and strategy for Databricks’ large-scale data infrastructure, including billing correctness, disaster recovery, reliability, deployment automation, and data integration. The role requires extensive distributed-systems experience, infrastructure leadership, and experience managing managers.

Leads full-stack engineering teams building data visualization and business semantics products for Databricks AI/BI. The role requires engineering management experience, distributed systems expertise, talent development, and experience scaling distributed teams.

Leads engineering organization and developer-platform initiatives, including scalable cloud services, AI-assisted development, technical strategy, hiring, and leadership development. Requires 15+ years building distributed systems and experience managing high-performance engineering teams.