Customer.io is hiring a Senior Manager, Data Science & Analytics to lead a team of data scientists and analysts supporting Product, Marketing, Sales, and Customer Experience. The role focuses on behavioral analytics, experimentation, forecasting, churn and health scoring, metric/measurement definition, and partnering with data engineering to enable self-serve analytics. Requires 7+ years in data science or related quantitative fields, advanced SQL and Python proficiency, experience with modern analytics platforms (Snowflake, dbt), and leadership experience; based in the Americas (remote-friendly).

Director of Client Engineering responsible for the technical direction and standards of Tide's frontend ecosystem. Lead Engineering Managers and partner with Staff Engineers across Core Architecture, Engineering Productivity and Quality Engineering to drive frontend strategy, monorepo sustainability, release automation, CI/CD (GitHub Actions), observability (Firebase, DataDog, LaunchDarkly), and exploration of AI-driven client-side improvements. Tech stack includes Flutter/Dart, Angular, Java/Spring Boot, PostgreSQL/MySQL, Kafka, AWS (Kubernetes EKS, SQS/SNS).

Lead the Client Engineering organisation (Core Architecture, Engineering Productivity, Quality Engineering) to define frontend standards and tools, improve monorepo workflows, implement modern release engineering and automation, and drive observability and AI-led improvements. Tech stack includes Flutter/Dart (mobile), Angular (web), Java/Spring Boot backend, PostgreSQL/MySQL, Kafka, AWS (EKS) and CI/CD with GitHub Actions, Firebase and Datadog. Gross annual base salary range: EUR 100,000–140,650.

Lead global manufacturing operations for modular data center products, driving process standardization, capacity and production strategy, and manufacturing KPIs (safety, quality, cost, OTD). Role is remote-based in Dublin, Ireland, requires ~20–30% travel and a minimum of 8 years' manufacturing leadership experience. Salary range listed for Europe: €92,560–€115,700 per year (EUR).

Fastly seeks a Manager, Customer Solutions Engineering to lead a team of technical customer engineers who act as named contacts for large customers. Responsibilities include driving strategy and operations for the team, managing stakeholder relationships across Client Services, Sales, Product and Engineering, handling escalations, defining SLAs and workflows, and coaching staff. Requires 8+ years pre-/post-sales experience and 2+ years of people leadership; role is hybrid across San Francisco, Denver, or New York, requires travel as needed, and does not support relocation.

The Head of Data Ops & Systems will own systems strategy, data architecture, data quality and governance, integrations, vendor relationships, and cybersecurity oversight. The role leads a lean technical team (platform engineers, developers, data teams), manages system performance and incident response, sets technology and data roadmaps, and acts as DA's Data Protection Officer. The position is based in Ireland and requires fluency in English; Delivery Associates will not sponsor work visas.

Remote role (Poland, Romania, Hungary, Serbia, Lithuania) as Associate Director, Data Engineering (Platform and Analytics). Responsible for lake house strategy (medallion architecture), engineering across ingestion, transformation, storage and optimization, ensuring data quality, security and lifecycle management. Leads and mentors global data engineering teams, champions cloud engineering and tools (notably Azure Databricks), and collaborates with Data & Technology and business stakeholders to enable analytics, AI readiness and sponsor data delivery. Bachelor's in CS/Information Systems (or equivalent experience) required; Master’s preferred. Experience expectations include enterprise cloud data initiatives, medallion architecture implementations, advanced SQL and Python, CI/CD, Power BI (preferred), and familiarity with GxP in life sciences.

Lead a team responsible for products, APIs, and data integrations that collect and distribute off‑platform signals for Reddit Ads. Own the team roadmap, drive adoption of the Conversions API, collaborate with Product, Data Science, Sales and Solutions, and mentor engineers. Requirements include 2+ years managing engineering teams and at least 5+ years as a software engineer. Base salary range: $217,000–$303,900 USD.

Remote (North America) Documentation Manager role leading a small team of technical writers to produce, maintain, and improve public product documentation (APIs, SDKs, developer and security tools). Requires 5–10 years of technical documentation experience, 2–5 years managing writers, familiarity with documentation-as-code, Git/GitHub, CI/CD, cloud/IaaS and containers, and ability to read code in languages such as Ruby, Python, Go, and bash.

Lead a geographically distributed frontend engineering team for Firefox Desktop (Windows, Linux, macOS). Own delivery, engineering processes, hiring and development; collaborate with Product, UX, QA, Operations and Data Science. Requires a software engineering background, experience delivering user-facing front-end products, and 4+ years leading engineers. Salary ranges provided for Canada (CAD).

Senior Manager responsible for strategy and execution of IT product implementations (Identity & Access Management, Device Management, Inventory, Third‑party IdP). Owns post-sales delivery, leads and grows a global team, partners with Sales/Product/Engineering/Customer Success, and drives operational processes, playbooks, metrics, and scalable implementations. Requires 10+ years in professional services/technical delivery and at least 2 years managing people managers.

Manage and provide technical direction for a cross-platform runtime team responsible for a custom VMM and container stack across Windows, macOS, and Linux. Requires deep systems engineering experience (hypervisors, container runtimes, OS internals, kernel development), 8+ years professional software engineering experience, and 5+ years managing engineering teams. Candidates must be living and working in the East Coast time zone of the US or Canada.

Lead and mentor engineers to plan, schedule, and execute projects to create, optimize, and deploy training and inference deep learning workloads. Coordinate across teams and geographies, work on optimized numerical and DL algorithms, interact with scientific teams, and occasionally travel to conferences or customers. Minimum BSc and 8 years related experience (including 3 years management).

Datadog seeks an Engineering Manager (Manager I) to grow and lead the Evaluation & Annotation team on the AI Platform. Responsibilities include defining technical vision and roadmap, building evaluation and annotation tooling, partnering with Applied AI and infrastructure teams, and participating in code/design reviews while managing and developing a 4–6 engineer team. Role is based in Paris and operates in a hybrid workplace.

Lead the engineering team within NVIDIA's Dynamo organization to advance AIPerf (an open-source inference benchmarking platform). Responsibilities include driving core infrastructure (load generation, ZMQ microservices, GPU telemetry, Prometheus, statistical confidence intervals, Kubernetes-native deployment), advising integrations with vLLM/TRT-LLM/SGLang, and hiring/mentoring senior engineers. Requires 8+ years software engineering experience and 3+ years engineering leadership.

Lead the Data Science functional team to set multi-team roadmaps, provide hands-on mentorship, and guide projects involving statistical modeling, experiment design, classifier implementation, ML/NLP and LLM work. Requires 10+ years in data science or ML engineering (including 4+ years leading teams), production-grade Python and SQL skills, familiarity with columnar databases (BigQuery, ClickHouse, Redshift, Druid), and experience designing experiments and privacy-aware analytics. Position is remote (locations listed), expects ~40 hours/week, and requires travel ~2x/year. Compensation listed at $243,800 USD annually plus stock options.

Lead the Styling Algorithms team at Stitch Fix to drive ML- and AI-driven personalization (including client-facing features like virtual try-on). Role oversees end-to-end algorithm development, production deployment, experimentation (A/B testing), and cross-functional product work. Requires 5+ years building and deploying AI/ML solutions, 2+ years managing or leading technical teams, and production Python and cloud/distributed systems experience. Salary range for US hires: $200,000–$246,000 USD per year.

Enterprise-wide senior leadership role reporting into Revenue Operations to define and execute Elastic's Field Technology & AI strategy. Owns four teams (Engineering, Data Science, Customer Data Strategy, Application Administration) to productize and operationalize AI use cases across GTM (examples: account scoring, next-best-action, seller copilots). Requires 12+ years' experience (including 7+ years in senior leadership). Based in the United States. Typical starting salary range: $212,100–$335,600 USD per year.

Lead a distributed engineering team responsible for Kraken Pro's trading interface. Own technical direction, frontend architecture and delivery, partner with Product and Design, mentor engineers, and drive improvements in performance, accessibility, and reliability. Requires 8+ years software engineering experience and 3+ years leading engineers; deep experience with TypeScript and React (including React Native) is expected.

Lead a team responsible for Husky, Datadog’s distributed petabyte-scale columnar event store. Responsibilities include managing engineers, reviewing architecture and RFCs, ensuring operational excellence and on-call practices, and scaling the system (ingestion, persistence/compaction, metadata services) to meet growing scalability needs. Role is based in Paris with a hybrid workplace model. Benefits mentioned include equity (RSUs), ESPP, and professional development programs.