Top Tech Jobs & Startup Jobs in NYC, NY

Architects fault-tolerant, globally scalable GCP platforms that integrate AI and LLMs into production. Leads Vertex AI and MLOps implementations, RAG and agentic applications, responsible AI governance, compute and FinOps strategy, platform engineering, and SRE reliability practices. Establishes design-doc and architecture-review processes, translates business requirements into technical blueprints, mentors architects and engineers, and supports client pursuits in a consulting environment.

Design, deploy, and operate secure, scalable GCP infrastructure and platform services. Responsibilities include Terraform-based infrastructure, GKE and Kubernetes operations, CI/CD automation, cloud networking, observability, IAM, security controls, cost optimization, incident response, and documentation. The engineer will mentor junior staff, review infrastructure code, support migrations and multi-tenant platforms, and collaborate with engineering, product, security, and compliance teams.

Sell and expand Salesforce services to mid-market and enterprise clients across the Chicago region. Manage full sales cycle, cultivate executive relationships, collaborate with delivery and Salesforce partners, develop proposals/SOWs, negotiate and close deals, and travel to client sites up to 20%.

Configure and consult on Salesforce CPQ and Revenue Cloud solutions, including product catalogs, pricing, quoting, approvals, and quote-to-contract workflows. Lead client workshops, requirements sessions, demos, testing, training, documentation, and enhancement planning. Identify scope and delivery risks, support data migration and releases, execute architectural designs, mentor junior consultants, and advise clients on lead-to-cash and sales process improvements.

Advise clients on business transformation by assessing strategies, operating models, processes, governance, and change environments. Design future-state capabilities, organizational structures, processes, and ways of working; develop roadmaps, business cases, and adoption plans; facilitate stakeholder alignment; measure business value; and support implementation. The consultant may lead workstreams, manage client relationships, contribute to sales pursuits, mentor colleagues, and apply AI to improve consulting delivery and transformation outcomes.

Own product vision, roadmap, backlog, requirements, user stories, success metrics, and stakeholder alignment. Lead enterprise-scale healthcare transformation programs through implementation and post-production support, managing scope, budgets, risks, governance, and Agile delivery. Coordinate Product, Engineering, QA, Data, Architecture, and business teams. Identify opportunities for AI, automation, analytics, and digital technologies in payer operations while driving adoption, change management, and benefits realization.

Leads AI- and data-driven business transformations for Fortune 500 customers using the Celonis Platform. Responsibilities include quantifying ROI, developing executive value narratives, managing complex transformation programs, coordinating stakeholders, improving business processes, building adoption roadmaps, and supporting technical solution development. The role combines management consulting, enterprise technology pre-sales, data analytics, program management, and customer relationship ownership, with a focus on finance, supply chain, and banking use cases.

Designs, implements, and optimizes Salesforce Data Cloud solutions. Responsibilities include configuring data streams, integrating Salesforce and legacy data with MuleSoft or ETL tools, mapping data objects, creating identity resolution rules, building calculated insights with SQL, developing customer segments, configuring activation targets, and managing data governance, privacy compliance, system performance, storage, and usage.

Designs and implements AWS cloud-native applications, distributed systems, and machine learning infrastructure. Leads architecture for SageMaker model deployment, inference, endpoints, and AI integrations while guiding engineering teams. Builds scalable event-driven services using AWS Lambda, SNS/SQS, EventBridge, DynamoDB, and Bedrock. Develops Python automation and ML integrations, applies Terraform and CI/CD, and ensures production ML workloads are secure, reliable, scalable, and cost-effective. Preferred experience includes NLP, embeddings, generative AI, OCR, MLOps, RAG, and vector databases.

Own the architecture and delivery of Salesforce and Marketo implementations, managed services, integrations, and optimization engagements. Lead client discovery sessions, advise on technical direction, scope new work, support proposals, mentor marketing teams, and resolve complex Marketo configuration and data issues. The role requires strong Marketo expertise, client-facing consulting skills, adaptability, communication, and enthusiasm for using AI tools.