Lead Cisco’s corporate and technology PR programs for the Office of the CTO, shaping narratives around cutting‑edge research and emerging technologies.
Compensation
The starting salary range posted for this position is $129,100.00 to $163,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Lead financial and operational strategy, owning financial modeling, planning, forecasting, and core finance operations while partnering with the CEO and leadership team.
Locations (2)
New York City
San Francisco
Responsibilities
Own operating model, budget, forecasts, cash planning, runway, and long-range scenarios
Build metrics and reporting for business performance
Lead financial side of board preparation, investor reporting, fundraising, and diligence
Evaluate strategic partnerships, acquisitions, investments, and other inorganic opportunities
Oversee accounting, tax, treasury, compliance, and financial reporting
Requirements
Nice to have: investment banking
Nice to have: private equity
Nice to have: corporate development
Nice to have: consulting
Nice to have: high-growth technology company experience
Lead the design, development, configuration, and automation of AI infrastructure clusters.
Compensation
Competitive base pay for Bellevue market
Certain roles are eligible for additional rewards, including merit increases, annual bonus, and long term incentives.
Responsibilities
Develop infrastructure-as-code, automation, and provisioning systems for compute, networking, and storage.
Deploy and optimize Kubernetes, container, and distributed computing platforms.
Optimize GPU, networking, storage, and system performance for large-scale AI workloads.
Troubleshoot complex issues across hardware, operating systems, networking, storage, and software stacks.
Build reliability, observability, and operational excellence practices for mission-critical infrastructure.
Build and maintain backend services and APIs that power ML-driven features across the Good Inside platform, integrating ML models and third-party APIs into production systems.
Compensation
base salary for this role will be $205k - $235k
Responsibilities
Design, build, and maintain backend services and APIs that power ML-driven features across the Good Inside platform
Integrate and orchestrate ML models and third-party ML APIs into production systems
Build data pipelines and infrastructure to support model serving, feature storage, and real-time personalization
Collaborate closely with product, mobile, and design teams to translate ML capabilities into user-facing features
Own the reliability, performance, and scalability of ML-adjacent backend systems
Lead, scale, and inspire a high‑performing commercial Solution Engineering team across the Americas, driving technical sales strategy and revenue growth.
Compensation
$244,048—$305,060 USD
Responsibilities
Lead and mentor a high‑performing commercial Solution Engineering team
Partner with Sales, Product, and Presales Operations to drive revenue growth
Develop and execute technical sales strategies across new and existing accounts
Guide the team in architecting holistic enterprise solutions
Enforce and optimize structured technical engagement models
Requirements
Bachelor’s degree in Computer Science, Management Information Systems, Business Administration, or related field; advanced degree (MBA/MS) is a plus
Lead a team of software engineers to reduce security risk across Discord’s platform, designing and building identity and access management systems, securing cloud infrastructure, and managing security strategy.
Compensation
$248,000—$310,000 USD
Responsibilities
Shape company-wide security strategy
Lead a highly-autonomous, horizontally-integrated team of software engineers
Develop and apply secure baselines for cloud infrastructure
Manage infrastructure vulnerabilities
Secure first- and third-party software supply chains
Lead design, architecture, and delivery of Amazon Ads’ auto‑optimization platform, building agent execution engines, action layers, evaluation pipelines, and safety standards.
Locations (2)
New York, New York, United States
Seattle, Washington, United States
Compensation
USA, NY, New York - 184,900.00 - 250,200.00 USD annually
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the auto‑optimization platform’s architecture and roadmap
Build agent execution engine and action layer for live campaigns
Set safety standards and audit trails
Develop offline and online evaluation pipelines
Prototype new system designs and agent patterns
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: full software development life cycle
Partner with Account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
Requirements
Bachelor’s degree
Nice to have: orchestrating specialized technical resources
Nice to have: presenting to technical stakeholders
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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