Lead an implementation team responsible for deploying Veeva Commercial Content solutions, focusing on operational excellence, staffing and resource management, performance management, and customer engagement. Role is remote (US-based), requires up to 25% travel, and lists a base salary range of $90,000–$150,000. Candidates should have 5+ years in software services and 2+ years managing people.

Responsible for end-to-end technical delivery for strategic enterprise accounts, translating executive-level requirements into working software, shipping prototypes and integrations, and feeding field signal into the platform roadmap. Requires leading and building high-trust, customer-facing engineering teams and partnering with product, sales engineering, security, and platform leadership. Minimum 12+ years in software engineering with 4+ years leading engineering teams; experience with UI, distributed systems, APIs, identity/provisioning, cloud platforms, security, and data governance. US-based hybrid role with expectation of in-office presence at company hubs at least two days per week.

Principal Engineering Manager responsible for IAM platform areas including identity lifecycle, entitlements, privileged access, federation, and workforce identity providers. Role involves technical leadership, building high-performing teams, cross-functional partnership (Security, Infrastructure, IT, Legal, Compliance), driving migrations and automation, and overseeing reliability and operational maturity. Requires people management experience (5+ years) and senior technical experience as detailed in the posting; base salary range USD 160,200–425,000 per year.

Lead and mentor a high-performing engineering team focused on next-generation Cloud Security Posture Management (CSPM). Own sprint planning and delivery, navigate complex cross-team dependencies, engage with stakeholders and customers, and drive adoption of AI-native workflows using Claude Code. Requires 10+ years of software engineering experience and 4+ years of direct people management, hands-on technical expertise with cloud-native microservices, Kubernetes, public clouds, CI/CD and DevOps practices. Location flexible within the USA. Salary range provided.

Stitch Fix is hiring an Engineering Manager, Fulfillment to lead a distributed engineering team building and operating order, inventory, warehouse, and transportation management systems. The role requires technical leadership, hiring and mentoring, cross-functional collaboration with product and operations, and experience with real-time/distributed systems using technologies such as Go, Ruby, Kafka, RabbitMQ, Redis, and Postgres. Salary range for US-based hires: $130,900–$218,000 USD per year.

Principal DevOps/Observability role responsible for owning large-scale observability pipelines and platforms across logging, metrics, tracing, alerts and synthetic monitoring. Work includes building and operating systems using Elastic Cloud, Grafana, Prometheus, OpenTelemetry, Kafka, Kubernetes/GKE, Helm, CI/CD and IaC tools (Terraform/Ansible/CloudFormation), defining observability standards, and collaborating with DevOps, SRE, engineering and security teams.

Rol senior focalizado en arquitectura y gobierno de soluciones BPM sobre Bizagi: diseñar arquitectura, definir metodologías y estándares, estimar e implementar soluciones, supervisar desarrolladores BPM, validar buenas prácticas del CoE, liderar revisiones técnicas e impulsar adopción de DevOps/DevSecOps. Modalidad remota/híbrida; inglés nivel intermedio requerido.

Senior Manager, DevOps responsible for the DevOps roadmap, leading a DevOps team and partnering with Engineering/SRE/Product to improve engineering velocity, reliability, and operational efficiency. Requires hands-on cloud architecture and execution experience across AWS and GCP, Kubernetes, IaC (e.g., Terraform/Ansible), CI/CD, observability, incident management, and experience leveraging AI-assisted engineering tools. Role is remote (US) and specifies 6+ years of leadership experience in DevOps/cloud operations/platform engineering.

Lead and grow a senior engineering team owning dashboards, notebooks, visualizations, AI-assisted investigations, and the discovery layer for Cribl Search. Partner with Product to translate vision into execution, drive delivery across UI and analytical surfaces, shape technical direction with staff+ engineers, and mentor engineers. Requires 7+ years of engineering experience and at least 3 years managing teams focused on user-facing product development; background in search, observability, analytics, or data visualization platforms.

Lead a team responsible for integrating and optimizing the Sales and Marketing tech stack (Salesforce, Clay, Boomi, Salesloft), building end-to-end automated workflows and AI/ML-driven automation, maintaining data pipelines and hygiene, and delivering GTM metrics and forecasts. Requires 5+ years in automation engineering/GTM operations and 2+ years of people management; visa sponsorship is not available.

Lead a distributed QE team to drive automation coverage and quality for web, mobile, and API layers. Requires 8+ years in quality engineering, hands-on experience with Selenium, Playwright, Appium, REST Assured/Postman, CI/CD integration, and use of AI/GenAI testing tools; domain experience in freight/transportation preferred. Locations: Peru, Colombia, Costa Rica, Mexico (remote in LATAM).

Hands-on QE Lead responsible for leading a distributed team to deliver and scale test automation across web, mobile, and API layers for freight/transportation applications. Responsibilities include translating automation architecture into execution plans, reviewing automation code and frameworks, tracking coverage and stability, removing blockers, collaborating with global teams, and leveraging AI/GenAI tools to accelerate test design and validate LLM/AI features. Requires 8+ years in Quality Engineering and experience in mobile automation, API testing, CI/CD integration, and working with device cloud/grid platforms.

Hiring a hands-on QE Lead to drive test automation strategy and execution for web, mobile and API layers. Responsibilities include leading a distributed QE team, reviewing automation code and frameworks, tracking coverage and stability, and leveraging AI/GenAI tools to accelerate test design and automation. Required: 8+ years in Quality Engineering, experience in logistics/freight domain, mobile automation, API testing, and global team collaboration.

Tide is hiring a Head of Machine Learning for the Ongoing Monitoring team in Hyderabad. The role requires defining risk engineering strategy, building and scaling risk infrastructure and ML-driven fraud/compliance systems, developing self-service tooling, and leading a team. Requires 12+ years engineering experience with senior leadership experience and domain expertise in fraud, AML/KYC, adversarial AI, cloud-native systems and production risk-scoring environments.

Lead the Accounts team (9 engineers) through separating the core financial ledger into a dedicated Ledger Team, then become Engineering Manager for the Ledger Team. Own technical direction, system stability (SLOs, observability, on-call), architecture for a high-volume, high-availability financial ledger, and grow engineers. Tech stack includes Java/Spring Boot, Python, Go, AWS, Aurora PostgreSQL, Docker, Terraform, ArgoCD and EKS.

NVIDIA seeks a Senior Manager, Engineering to hire and lead a team that implements an enterprise governance layer for agentic AI. Responsibilities include team building and retention, turning reference architecture into deliverable systems, managing dependencies and risk, partnering across security, runtime, identity, IT and product teams, operating security review and assurance processes, and communicating progress to senior leadership. Requires 10+ years in software engineering and 3+ years leading engineering teams.

Reddit seeks an Engineering Manager for a new Ads ML Efficiency function to hire and lead ML/systems engineers, define technical roadmap for training and inference optimization, build profiling/benchmarking/load-testing/observability tooling, and partner with ranking and platform teams to reduce training time, latency, and serving cost. Preferred experience includes ML engineering close to models, GPU training/serving, PyTorch and distributed training, and production ads or recommender systems.

Lead a delivery team within an AI-native software lifecycle: set delivery cadence, choose execution modes for autonomous agents, author prompts and evaluation criteria, implement production front-end code (JavaScript/TypeScript/React), enforce senior human review and accessibility/compliance requirements, and evolve the cross-team product-and-design operating model. Remote-first role at Granicus with a stated salary range of USD 144,000–184,000 per year.

Software Engineering Manager for AI/ML Platforms (based in Georgia, virtual) responsible for delivery, people leadership, vendor collaboration, and driving adoption of AI/ML solutions. Minimum 7 years' experience; skills include Java/Python, MLOps, GCP (BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub), Airflow, distributed systems, SQL, CI/CD and production monitoring. Posted salary range: $140,000–$240,000 (annual, specified for certain U.S. locations).

Lead a small, high-output engineering team to own delivery metrics (cycle time, review latency, reliability), run cadences (planning, standups, retros), command incidents and run blameless RCAs, hire and coach engineers, and design/process automations. Role expects strong written communication, use of GitHub/Notion and AI tools, and experience improving delivery outcomes. Remote with equity and profit sharing.