Top Tech Jobs & Startup Jobs

Leads ServiceNow’s corporate and product public relations strategy across the Americas. Oversees corporate reputation, product storytelling, executive visibility, crisis communications, media relations, agency partnerships, budgets, and PR team development. Advises senior executives, including the CEO, translates complex AI and enterprise software into compelling narratives, supports financial communications and product launches, and measures communications impact through reputation, media, and business-performance metrics.

Leads ServiceNow’s US sales strategy and revenue growth across Manufacturing, Transportation, and Energy. The role manages enterprise sales teams, exceeds quotas, develops executive customer and partner relationships, executes go-to-market plans, optimizes sales operations, and collaborates with product, marketing, and professional services teams. The GVP also recruits and develops sales talent, ensures ethical governance, and drives market expansion across these industries.

Lead the DevOps practice for ServiceNow Otto, owning CI/CD, release automation, Kubernetes infrastructure, observability, reliability, and operational tooling across SaaS environments. Build infrastructure automation, GitOps workflows, and scalable cloud platforms while supporting AI and agentic services in production. Partner with scientists and engineers to improve deployment velocity, security, resilience, troubleshooting, and operational efficiency.

Design, develop, and deploy large-scale Voice AI distributed systems across regions and datacenters. Build core voice platform capabilities, integrate APIs and self-hosted models, develop LLM-based applications and agents, and ensure scalable, reliable software. Partner with product managers and customers, improve SRE tooling, enforce engineering best practices, and mentor colleagues across Voice AI disciplines.

Design, develop, and deploy scalable Voice AI platforms and distributed systems across regions and datacenters. Build LLM-based applications, voice agents, and integrations with AI models and APIs. Ensure high-quality engineering through architecture, testing, and code reviews; support SRE improvements; collaborate with product managers and customers; and mentor engineers across Voice AI disciplines.

Manage ServiceNow’s customer reference program by matching customers with prospects, coordinating reference calls and events, maintaining customer advocacy records, recruiting new advocates, and supporting sales and marketing initiatives. Track participation, usage, and pipeline impact through dashboards and reporting. Partner cross-functionally with sales, customer success, product marketing, field marketing, and product management to improve program coverage, processes, customer proof, and reference operations.

Lead customer consulting, presales solution architecture, implementation guidance, and delivery oversight for ServiceNow Security and Risk solutions. Design secure, scalable architectures, connect workflows with enterprise technology landscapes, advise executives on roadmaps and governance, mentor delivery teams and partners, develop service offerings, and promote reusable solutions. The role requires deep ServiceNow Security and Risk expertise, regulatory knowledge, technical leadership, and up to 20% travel.

Own the roadmap and delivery of legal AI and platform initiatives across ServiceNow’s legal technology portfolio. Design, prototype, evaluate, and launch trusted AI agents for legal workflows, measuring productivity and business impact. Translate stakeholder needs into product requirements, prioritize backlogs, define evaluation criteria, and partner with Engineering and Product teams to improve internal solutions and potentially inform customer-facing releases.

Own the build, deployment, and reliability of ServiceNow Otto’s conversational AI systems across SaaS environments. Design Kubernetes infrastructure, IaC, CI/CD and GitOps workflows, observability, release automation, and incident response practices. Partner with scientists and engineers to operate scalable AI services securely and efficiently. Apply expertise in LLM architectures, agentic workflows, AI-assisted development, model integrations, and production troubleshooting while leading cross-team infrastructure initiatives and improving deployment velocity and reliability.

Design, develop, and deploy large-scale Voice AI distributed systems across regions and datacenters. Build voice platform capabilities including audio acquisition, conversation management, speech generation, model integrations, and voice harnesses. Develop LLM-based applications and agents, collaborate with product managers and customers, improve SRE tooling, enforce software engineering best practices, and mentor engineers.