The role involves contributing to and leading multidisciplinary projects focused on security and evolution of Oracle’s suite of Healthcare products on Oracle Cloud Infrastructure, leading cross-organizational security programs and executive reporting.
Compensation
US: Hiring Range in USD from: $116,600 to $264,100 per annum. May be eligible for bonus, equity, and compensation deferral.
Responsibilities
Collaborate with Product Management to build the backlog, clarify priorities and requirements.
Host standups, grooming/sizing/planning meetings, and retrospectives.
Track progress and metrics in JIRA and other tools as required.
Facilitate surfacing of problems and blockers within the teams and help get them resolved promptly.
Set up a new security engineering practice and define its priorities over time
Encourage sound security habits across a compact, flat engineering team
Design and release security capabilities that external users can rely on
Write production Go code that strengthens infrastructure running across several cloud providers and container orchestration environments
Take full ownership of cloud and container protection, covering access controls, network defenses, credential handling, isolation between workloads and audit logging
Requirements
Bachelor's degree in computer science or comparable technical field
Nice to have: early security hire
Nice to have: building security features for external users
As an Major Identity Account Executive for Idira (Identity Security), you are responsible for driving new business and expansion across enterprise customers. You will lead complex sales cycles, orchestrate cross‑functional teams, and deliver Identity Security solutions in a way that creates lasting business impact at the enterprise level.
Responsibilities
Serve as the go‑to expert in Identity Security, influencing strategy and deal execution across complex enterprise opportunities
Identify prospective clients within defined territory and market segments; drive new business in existing accounts with continuous development of long‑term pipeline
Lead and coordinate multi‑seller plays – ensuring cohesive positioning, solution sequencing and joint account planning
Partner with product, SE, and technical specialists to shape and deliver customer strategies – driving adoption, modernisation and expansion of Idira’s solutions
Establish a professional and trusted relationship with customers and prospects, from the C‑level to the Operational level, developing a core understanding of the unique business needs of the customer within their business vertical
Own and grow a portfolio of strategic technology alliances across North America, including cloud providers and other technology partners, driving joint go-to-market strategies and measurable pipeline.
Responsibilities
Own and grow relationships with a portfolio of strategic technology partners, including cloud providers, global and regional technology partners.
Develop and execute joint business plans focused on pipeline creation, revenue growth, enablement, marketing, and executive alignment.
Build strong field relationships with partner sales teams, alliance managers, solution architects, and regional leadership to drive day-to-day collaboration
Drive partner-sourced and partner-influenced pipeline through account mapping, co-selling, joint customer engagement, and opportunity planning
Identify, develop, and scale repeatable joint offerings and solution plays that increase customer adoption of Parloa.
Deploy and operate GPU Kubernetes clusters across clouds, automate fault detection and remediation, and improve fleet utilization for Cohere’s foundation models.
Build the data foundation powering Coveo's next generation of product innovation.
Responsibilities
Work with product engineering to turn questions about how users interact with Coveo into well-defined data models.
Build and maintain pipelines that process hundreds of millions of events a day, with tests and monitoring to keep them reliable.
Design batch and streaming transformations, from incremental dbt models in Snowflake to PySpark Structured Streaming jobs in Databricks, and choose the right one for each use case based on latency, cost and data volume.
Take ownership of complex data engineering initiatives, proactively improving data reliability, performance and maintainability while sharing your expertise with teammates.
Build AI agents that query our data models directly, and improve their answers by refining the models and definitions they rely on.
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