Top Tech Jobs & Startup Jobs in NYC, NY

Join Celonis’s 12-month Galaxy Graduate Program as an associate services consultant. Learn and apply Celonis technology, data analytics, machine learning, GenAI, SQL, and Python to deploy customer use cases, transform data, configure solutions, build KPIs, and develop operational solutions. The role includes hands-on customer projects, requirements gathering, deliverable demonstrations, cross-functional collaboration, and structured professional development.

Lead value engineering for CPG customers by translating process intelligence and AI capabilities into business outcomes. Build value assessments, ROI cases, demos, and strategic roadmaps; lead pilots, implementations, workshops, adoption, expansion, and renewals. Advise senior executives on supply chain, logistics, trade promotions, and retail operations. Create scalable use cases, mentor team members, provide product feedback, and drive measurable SaaS value, customer lifetime value, and retention.

Lead enterprise Celonis implementations for financial-services customers, conducting discovery workshops, defining requirements, configuring data models, process analyses, KPIs, dashboards, automations, and operational solutions. Direct and validate AI-generated outputs, identify process inefficiencies, quantify business value, manage delivery timelines, train users, and support adoption. Develop domain expertise, standardize use cases, and collaborate with product teams on scalable solutions.

Leads end-to-end technical architecture and delivery for complex Celonis enterprise deployments. Designs data integrations, process intelligence solutions, applications, automation, security, governance, and operating models. Advises executive customers, supports presales scoping, resolves escalations, establishes delivery standards, mentors engineers, and develops reusable architecture patterns. Requires deep Celonis platform expertise, strong programming and API skills, AI-assisted development fluency, executive presence, and willingness to travel to customer locations.

Lead enterprise Celonis implementations for Health and Life Sciences customers. Conduct discovery and value workshops, translate business needs into technical specifications, configure data models, process analyses, KPIs, dashboards, automations, and operational solutions, and validate AI-generated outputs. Manage delivery scope, timelines, adoption, training, documentation, and handover while quantifying business impact and developing industry-specific solution patterns.

Leads enterprise Celonis deployments from discovery through rollout and adoption. Translates customer needs into technical specifications, directs AI agents to build data models, analyses, KPIs, dashboards, and operational solutions, and validates results for business relevance. Conducts workshops, identifies process inefficiencies, quantifies value, manages project outcomes, trains users, documents solutions, and develops reusable domain patterns. Requires advanced SQL, consulting and process expertise, AI-tool fluency, and willingness to travel up to 50%.

Lead technical delivery across multiple enterprise Celonis engagements: design end-to-end architectures, define AI agent orchestration and validation, advise executives, set standards and reusable patterns, mentor deployment engineers, and ensure secure, scalable production readiness and adoption of AI-augmented Process Intelligence solutions.

Designs and implements customer data integrations for the Celonis Platform. Responsibilities include configuring SAP, database, and cloud extractors; building REST and SOAP connectors; developing Python ingestion pipelines; connecting lakehouses, LLMs, and AI agents; configuring writebacks, SSO, and SCIM provisioning; and supporting security reviews. The role also involves technical discovery, architecture documentation, effort estimation, troubleshooting, reusable asset development, and advising technical and business stakeholders across customer projects.

Lead technical pre-sales and post-sales engagements for banking and financial services clients. Translate banking workflows into AI solutions, build prototypes and proof-of-value projects, demonstrate ROI, and guide implementation and adoption. Develop secure LLM and agent systems using RAG, guardrails, and enterprise integrations across lending, onboarding, capital markets, payments, settlements, reconciliations, risk, compliance, and regulatory reporting.

Leads AI- and data-driven transformation initiatives for asset and wealth management clients across North America. Architects enterprise solutions, quantifies financial value, advises C-suite banking executives, automates financial-services workflows, and manages customer value journeys from discovery and proof of concept through QBRs. The role requires deep financial-services expertise, enterprise SaaS value-selling experience, process-mining and Generative AI fluency, and strong knowledge of banking platforms, risk frameworks, and regulatory requirements.