Strategic Partner Development

Implement and maintain cloud infrastructure with IaC.

Improve CI/CD pipelines for applications and ML workloads.

Evaluate models across accuracy and latency.

Build benchmarking pipelines for competitive analysis.

Support delivery of data center programs.

Manage timelines and project scope.

Conduct comprehensive model evaluations.

Establish and maintain benchmarking pipelines.

Oversee model evaluation across various metrics.

Build and maintain benchmarking pipelines.

Partner with engineering leaders for sourcing plans.

Lead sourcing across infrastructure and AI technology.

Unify technology strategy and enhance decision-making.

Oversee cross-functional initiatives from start to finish.

Provide hands-on support for databases.

Diagnose and resolve production issues.

Develop and maintain ML platform infrastructure.

Provide shared components for deployment and API design.

Build automation tools for resource delivery.

Collaborate with engineering teams for quality product delivery.

Lead strategic partnerships with key industry players.

Develop go-to-market strategies for AI and GPU deployments.

Ensure user privacy across data handling.

Develop tools for privacy enhancement.

Lead security and infrastructure strategy.

Manage and develop security teams.

Conduct comprehensive model evaluations.

Develop and maintain benchmarking pipelines.

Lead end-to-end model evaluation processes.

Develop and maintain benchmarking pipelines.

Conduct comprehensive model evaluations.

Build and maintain benchmarking pipelines.

Lead end-to-end model evaluation.

Build competitive benchmarking pipelines.

Build and lead a team of Solutions Architects.

Align skills and engagement models to customer needs.

Lead end-to-end model evaluation.

Develop benchmarking pipelines.

Conduct comprehensive model evaluations.

Develop benchmarking pipelines for competitive analysis.

Conduct comprehensive model evaluations.

Build and maintain benchmarking pipelines.

Own and manage a named FS account list.

Drive net new ARR and expansion revenue.

Lead the technical direction for identity and engagement services.

Oversee mission-critical infrastructure related to identity and engagement.

Understand and assess enterprise customer needs.

Collaborate with various teams to manage accounts.

Develop a high-performance search and indexing ecosystem.

Contribute to open-source libraries for data processing.

Oversee model evaluation processes.

Build and maintain benchmarking pipelines.

Lead IT strategy to support company growth.

Build and manage an effective IT team.

Lead backend system improvements.

Make architectural decisions for reliability.

Drive revenue growth for GSI accounts.

Develop strategic insights for each firm.

Design and implement privacy-focused software.

Translate privacy policies into technical safeguards.

Own end-to-end model evaluation.

Build and maintain benchmarking pipelines.

Conduct end-to-end model evaluations.

Build competitive benchmarking pipelines.

Conduct end-to-end model evaluations.

Build and maintain benchmarking pipelines.

Understand customer business and data needs.

Collaborate effectively with various teams.

Understand Enterprise customer needs.

Collaborate with internal teams for account planning.

Understand enterprise customer needs and use cases.

Collaborate with multiple teams for solution development.

Conduct end-to-end model evaluations.

Build and maintain benchmarking pipelines.

Conduct end-to-end model evaluations.

Design and implement benchmarking pipelines.

Design and develop scalable platform infrastructure.

Anticipate and mitigate bottlenecks in workflows.

Define and execute the strategic vision for Revenue Management.

Build and scale market-aligned service offerings.

Lead negotiations for content distribution and advertising.

Manage the strategic vision for Roku Premium Subscriptions.

Create a vision and strategy for Trust & Safety products.

Lead cross-functional teams for execution and launch.

Drive AI compliance and governance strategy.

Manage AI training data controls for privacy and performance.

Establish and monitor key performance metrics.

Design and implement efficient workflows and automation.

Lead global payroll risk and incident management programs.

Enhance risk posture and resolve high-impact incidents.

Lead cross-functional HR tech programs from initiation to completion.

Bridge business and technology to optimize HR platforms.

Own GTM system integration programs.

Lead cross-functional initiatives across departments.

Lead the onboarding product pillar from start to finish.

Drive growth through experiments and A/B testing.

Own the product strategy for inventory and fulfillment systems.

Oversee the evolution of internal tools for inventory management.

Enhance First Time Right (FTR) metrics.

Establish go-live readiness standards.