Jobs at Esko

Leads quality engineering strategy for a cloud platform across multiple engineering teams. Establishes testing standards, automation frameworks, quality metrics, dashboards, environment promotion gates, and release-readiness governance. Coordinates complex releases, drives performance, reliability, and regression improvements, and partners with Engineering, Product, Security, and Operations. The role also influences quality transformation, mentors teams, and uses production incidents and observability data to improve practices.

Own the strategy, roadmap, and priorities for shared cloud platform services including data, workflow, search, APIs, and repository capabilities. Partner with Architects, Engineering, and Product teams to align technical direction, drive platform adoption, improve developer experience, and balance reliability, scalability, technical debt, and business outcomes. Define success metrics and guide investments across a multi-product SaaS environment.

Provide functional and technical customer support for Esko Interactive Applications. Troubleshoot software configuration, usage, and integration issues; own support cases through resolution; document root causes and solutions; guide customers on best practices; collaborate with senior engineers and internal teams; and contribute to knowledge bases, training, and continuous improvement. The role requires packaging, structural design, premedia, and Esko workflow knowledge, along with strong communication and analytical skills.

Coordinate end-to-end commercial operations, including customer onboarding, quotations, approvals, contracts, renewals, compliance, invoicing, collections, revenue tracking, and reconciliations. Maintain contract records, monitor milestones and obligations, support budgeting and forecasting, identify commercial risks and revenue leakage, and prepare management reports. Serve as a liaison among Sales, Finance, Legal, Procurement, Operations, and external partners while supporting audits, dispute resolution, and process improvements.

Manages commercial operations from customer onboarding through contract execution, including pricing, quotations, approvals, renewals, amendments, compliance, invoicing, collections, revenue tracking, and reconciliations. Coordinates with Sales, Finance, Legal, Procurement, Operations, and external partners. Maintains contract records, monitors milestones and risks, supports audits, prepares management reports, identifies revenue leakage, and recommends process improvements.

Leads and develops the Agentic AI engineering team while contributing directly to a shared AI platform. Responsibilities include architecture, implementation, reliability, security, observability, evaluation, platform adoption, and production operations. The role translates product needs into reusable capabilities, supports AI adoption across teams, guides technical decisions, measures platform performance, and develops engineering talent. It requires production software engineering, people leadership, shared-platform development, and practical experience building reliable AI systems using large language models, tools, or agentic workflows.

Build and evolve scalable cloud foundation services for Esko’s SaaS products. Responsibilities include detailed technical design, hands-on backend development, distributed systems engineering, API and database development, reliability and performance improvements, production troubleshooting, testing, code reviews, architectural collaboration, and mentoring engineers. The role owns complex platform capabilities from requirements through production and helps improve engineering standards and operational readiness.

Own the lifecycle, backlog, roadmap, adoption, and success metrics for shared AI services used by Esko product and engineering teams. Gather and prioritize cross-functional needs, define requirements, guide teams adopting AI capabilities, communicate trade-offs, support testing and production adoption, and help shape the company’s AI strategy. The role requires software product management experience, production AI deployment expertise, and strong stakeholder communication.

Lead and develop the Agentic AI engineering team while contributing hands-on to the design, implementation, and operation of a shared AI platform. Shape architecture, interfaces, reliability, security, observability, evaluation, and performance practices. Partner with product, architecture, infrastructure, security, and business teams to drive platform adoption and productionize agentic AI capabilities across the organization.

Design and build Esko’s shared AI knowledge and reasoning platform. Responsibilities include modelling contextual knowledge, developing ingestion, curation, retrieval, versioning, and validation services, integrating semantic retrieval with deterministic rules and human review, creating APIs and evaluation suites, and ensuring security, tenant isolation, reliability, observability, and explainability. The role also partners with domain experts and product teams to convert informal expertise into structured, testable, versioned knowledge.

Design and build shared AI platform capabilities for knowledge representation, semantic retrieval, deterministic validation, contextual reasoning, and human escalation. Develop APIs and services for knowledge ingestion, curation, versioning, evaluation, and explanation. Ensure tenant isolation, security, reliability, observability, and performance. Collaborate with domain experts and product teams to convert expertise into structured, testable, traceable knowledge and take end-to-end ownership of substantial technical areas.

Analyze product, engineering, delivery, and commercial data to define KPIs, identify trends, and support evidence-based decisions. Build Power BI dashboards from product telemetry to measure adoption, engagement, feature usage, and customer behavior. Improve data quality, automate recurring reporting, and communicate actionable insights to technical and non-technical stakeholders.

Own the strategy, roadmap, business performance, and value delivery for WebCenter PLMS, an enterprise SaaS product serving regulated Life Sciences customers. Translate customer and regulatory needs into prioritized requirements, initiatives, and product investments. Lead discovery, business cases, launches, adoption, pricing, positioning, partnerships, and cross-functional alignment with Product, R&D, Sales, Marketing, and regional teams. The role is remote within the US Eastern time zone, with approximately 10% travel and an onsite immersion program.

Build and evolve scalable cloud foundation services powering multiple SaaS products. Own detailed technical design, implementation, testing, reliability, observability, and operational readiness for complex distributed systems. Translate architectural direction into production software, provide technical feedback, resolve complex production issues, lead code reviews, improve engineering practices, and mentor engineers. Work across APIs, repositories, data services, workflows, search, and other shared platform capabilities.

Build and maintain automated API, integration, contract, regression, system, end-to-end, performance, scalability, and reliability tests for cloud platform services. Develop test frameworks, infrastructure, mocks, and tooling; integrate quality gates into CI/CD pipelines; investigate distributed-system failures using observability data; and partner with engineering and DevOps teams to improve software reliability and testability.

Build and operate reliable AWS cloud platforms through CI/CD, Infrastructure as Code, Kubernetes, automation, and observability. Improve platform reliability, scalability, security, resilience, and developer experience through self-service tooling and reusable deployment capabilities. Diagnose production issues, lead incident resolution, strengthen governance and disaster recovery, and mentor engineering teams while operating multi-tenant SaaS infrastructure.

Define and implement architecture for a secure, scalable, resilient, multi-tenant AWS cloud platform. Design distributed systems, data models, knowledge graphs, semantic architectures, APIs, security patterns, and platform standards. Build foundational components and reference implementations while partnering with Engineering, Product, Security, Platform, and Operations leaders. Guide technology decisions, cloud modernization, and AI-enabled platform capabilities across multiple products.

Own the lifecycle, backlog, roadmap, requirements, adoption, and success metrics for shared AI services. Gather and prioritize needs across product, engineering, and commercial teams; guide internal teams in building AI capabilities; communicate trade-offs; support testing, triage, change requests, and production adoption. Contribute to Esko’s AI strategy through customer discussions, events, and thought leadership.

Lead global sales strategy for digital flexo packaging solutions: set targets, build and manage a high-performing sales team, drive channel partnerships, forecast and budget, analyze CRM data, engage key clients, and collaborate with product, marketing, and global accounts to scale enterprise CAPEX sales and roadmap adoption.

Develop and own production machine learning and AI systems across their lifecycle in the food and beverage domain. Responsibilities include designing datasets, evaluation criteria, and test cases; monitoring model performance, cost, accuracy, latency, and reliability; leading experimentation and code design; collaborating with engineering, product, and sales; applying agentic coding practices; and partnering with AI product teams to improve customer experiences.