• Understand our users: Conduct interviews and analyze data to define personas, user journeys, and key jobs to be done. • Drive crucial aspects of Confluent Cloud Network Roadmap supporting Confluent Cloud services like Kafka, Flink, Connectors, Data Governance, etc with a heavy focus on user experience and cost efficiency. • Define flexible interfaces powering API, CLI and Terraform, data models, and processes and launch a variety of new network options and rapidly iterate on existing ones • Be responsible for the whole lifecycle: Drive multi-team, cross-functional initiatives from conception through initial delivery and ongoing iteration after launch. • Close the loop: Define quantitative and qualitative targets, measure performance against them, share results with stakeholders, and incorporate those learnings into the product. • Manage complexity: Deliver value while handling the surprises and challenges of a quickly evolving product, ambitious partnership targets, and a rapidly growing organization.

• Atuar como Trusted Advisor em contas Enterprise, liderando a jornada de transformação digital de grandes clientes. • Desenvolver e executar Account Plans robustos, mapeando C-Levels e desenhando roadmaps tecnológicos de longo prazo. • Identificar e fechar projetos complexos • Manter o CRM atualizado semanalmente com rigor, garantindo a previsibilidade do forecast de serviços. • Trabalhar em sinergia com times internos para converter indicações e expandir a presença dentro da base instalada. • Fortalecer o relacionamento com o ecossistema Google e parceiros estratégicos.

• In your role, you will be responsible for identifying and evaluating market trends and new technologies for IaaS and Paas Services for our SAP customer base (Managed Cloud Services) • You will play an active role in creating managed services portfolio roadmaps • Your tasks will also include designing new global managed cloud portfolio services in terms of content, offerings, and cost calculation • You will take on end-to-end service offer management (go-to-market, portfolio, delivery) with a focus on portfolio lifecycle management and support the sales and presales teams with your expertise • You will maintain key product documentation (SOWs, costing, pricing, sales enablement) in collaboration with Presales & Bid Management • Your responsibilities also include providing internal teams with product knowledge and conducting enablement sessions to ensure readiness for market launch • Finally, you will be responsible for preparing decision-making templates for senior/executive management

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Abnormal AI, we safeguard the world’s largest enterprises from cybercrime. We protect our customers against adversaries who constantly evolve their techniques and tactics to outwit and undermine traditional approaches to email security. Our novel, behavior-based approach has earned numerous industry accolades, and we’ve built our reputation through our industry-leading email security solution, which now protects more than 20% of the Fortune 500. As Abnormal expands its ambitions beyond email into the broader Identity Security landscape, a scalable, reliable infrastructure foundation is critical to powering our next phase of growth. The Platform & Infrastructure team is seeking a strong Cloud Infrastructure Engineer to help design, build, and operate the core compute and business-critical infrastructure services that form the foundation of Abnormal’s control plane, data plane, and broader product platform. What you will do - Design, build, test, scale, monitor, and maintain secure, cost-efficient infrastructure in a multi-cloud environment (AWS and Azure). - Develop, evolve, and operate infrastructure as code to support repeatable, auditable, and scalable system provisioning. - Drive design collaboration by participating in technical discussions and providing constructive reviews. - Contribute as a core member of an agile team by participating in sprint planning, standups, and execution with a strong sense of ownership and teamwork. - Partner closely with product and application engineering teams to understand platform needs and deliver well-designed, developer-friendly infrastructure abstractions. - Participate in an on-call rotation with a learning-oriented mindset, gaining insight into customer pain points, identifying systemic gaps, and driving long-term reliability improvements. - Drive down technical debt and operational toil by addressing root causes, automating repetitive work, and shaping roadmap investments to sustainably reduce both. Qualifications - Bachelor’s degree in Computer Science or a related technical field. - Experience working within mature software development practices, including source control, testing, and deployment. - 4+ years of experience engineering cloud infrastructure solutions for microservice-based systems in production environments, accounting for optimal performance, reliability, security, and cost. - 2+ years of experience with Python. - 1+ year of experience with Kubernetes and Helm. - 1+ year of experience with AWS (VPC, IAM, S3, Route 53, CloudFront, EKS, ECS, CloudWatch). - 1+ year of experience with Terraform and HCL. - Experience with on-call rotations, incident response, and operating production-grade systems. - Practical experience using Generative AI tools in day-to-day engineering workflows. - Strong communication skills and the ability to thrive in a fast-paced, remote-first environment—balancing autonomy with collaboration, demonstrating a bias toward action, and maintaining a positive, constructive mindset. Nice to Haves - Experience with Bash, Golang, and Terragrunt. - Familiarity with Generative AI tools such as Cursor and Claude, and experience driving AI-first workflows and solutions. - Prior experience building large-scale infrastructure-as-code abstractions. - AWS certifications. Benefits - Eligible for a bonus, restricted stock units (RSUs), and benefits. - Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications, and other job-related reasons. - Base salary range: $165,800 — $195,000 USD. Company Description Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.