Jobs at ZS

Deliver Veeva CRM and Vault implementation projects for pharmaceutical, healthcare, and life sciences clients. Provide techno-functional expertise in solution design, architecture discussions, CRM and Vault integrations, content approvals, field sales, and regulatory workflows. Collaborate with global technical teams, guide platform decisions, communicate solutions to diverse stakeholders, and support project timelines, budgets, and deliverables. Client-site or office travel is occasionally required.

Leads product marketing strategy for ZS platforms and products, including positioning, messaging, competitive analysis, go-to-market planning, product launches, demand generation, sales enablement, and performance optimization. Partners with product management, sales, customer success, and leadership while managing and developing a product marketing team. Requires extensive SaaS or platform product marketing experience and strong strategic, analytical, communication, and leadership skills.

Design and develop scalable software systems and production LLM solutions using RAG, agentic workflows, PEFT, and guardrails. Own architecture, technical execution, SDLC activities, cloud and Databricks governance, DevOps automation, testing, deployment, and system reliability. Collaborate with cross-functional teams, conduct code reviews, translate business requirements, and guide software design. The role is client-facing and follows a hybrid work model with travel as needed.

Lead product marketing for ZAIDYN Field Performance, defining positioning, narratives, go-to-market strategies, launches, packaging, and sales enablement. Develop messaging, demos, case studies, ROI stories, and competitive materials while partnering with product, sales, customer success, and industry marketing teams. Conduct market and buyer research, oversee win/loss analysis, support advocacy programs, and translate AI and analytics capabilities into compelling customer value across global markets.

Leads product demand generation for ZAIDYN and ZS’s product portfolio, developing integrated B2B campaigns across digital, ABM, events, alliances, email, paid media, social, webinars, and SEO. Manages campaign performance, attribution, budgets, pipeline contribution, and ROI while partnering with Product Marketing. Leads and develops the demand generation team, establishes campaign governance and processes, and uses post-campaign insights to improve marketing operations and scalability.

Lead ZAIDYN's AI Engineering function to design, build, and ship an enterprise-grade agentic AI platform. Own architecture, integrations (AWS Bedrock/AgentCore), LLMOps/eval frameworks, observability, governance, and team hiring/operations. Ensure production readiness, cost/latency controls, auditability, and cross-functional delivery with product and QA while representing the platform externally.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

The Product Marketing Lead drives the narrative and adoption of the ZAIDYN Field Performance AI platform by crafting messaging, developing go-to-market strategies, and collaborating with cross-functional teams to enhance customer value and market presence.

Build and optimize production-grade LLM and generative AI systems, including RAG pipelines, model fine-tuning, embedding search, evaluation, and scalable inference. Develop FastAPI services, integrate AI into production software, and improve latency, GPU utilization, reliability, and cost efficiency. Research emerging AI techniques, contribute to MLOps through model tracking and observability, and collaborate with clients and cross-functional teams.

Lead enterprise-scale digital transformation programs using Microsoft Azure AI, Fabric, Power Platform, Copilot, and Dynamics 365. Manage cross-functional delivery teams, drive AI adoption and responsible governance, support business development, develop reusable Microsoft assets and training, and align client stakeholders across life sciences and other business domains.

Supports strategic data platform partnerships with Databricks, Snowflake, Dataiku, and similar technology providers. Responsibilities include partnership governance, partner-influenced pipeline management, reporting and dashboards, joint account coordination, issue resolution, process improvement, documentation, and partner marketing campaigns. The role requires cross-functional collaboration, CRM proficiency, strong communication, organization, and the ability to manage multiple priorities in a client-facing consulting environment.

Own ZS’s AWS alliance strategy, governance, growth, and operational execution. Manage AWS funding, opportunity registration, certifications, competencies, co-selling, marketplace motions, joint go-to-market programs, pipeline, and revenue objectives. Coordinate stakeholders across AWS, sales, practices, marketing, finance, legal, and delivery teams while maintaining dashboards, forecasts, compliance, and reporting. Serve as the primary relationship owner and trusted AWS expert.

This role leads digital transformation initiatives in content management and marketing technology, focusing on AI-based innovations and collaboration with clients in life sciences.

Lead business development and delivery of supply chain transformation engagements for high-tech and data center clients. Build client relationships, design analytics-driven solutions (inventory, demand/capacity planning, network design, supplier performance), manage cross-functional teams, present executive recommendations, and coach project staff.

The Lead AI Engineer will design and implement LLM-powered applications, optimize RAG pipelines, and evaluate models while integrating AI systems into production environments.

Manage projects and client relationships, drive business development, and motivate project teams while providing thought leadership and innovation.

The Enterprise Architect will co-lead tech advisory, manage client relationships, drive new business, mentor junior consultants, and oversee large transformations.

Develop and execute strategies for partnerships, manage revenue targets, collaborate with teams, and serve as an advisor for assigned partners.

Lead AI partnership strategy and execution to grow AI Frontier Labs alliances. Own alliance performance, co-sell pipeline, joint GTM and solution development, partner account mapping, enablement, marketing, and executive alignment to scale generative AI adoption and revenue.

Lead architecture, design, and delivery of large-scale GenAI-enabled, distributed systems. Manage and mentor engineering teams, define standards and APIs, integrate LLMs and agentic workflows, ensure production readiness, observability, scalability, and partner cross-functionally with Product, AI/ML, Data Engineering, and DevOps.