Top Tech Jobs & Startup Jobs in Chicago, IL

Leads technical strategy for complex enterprise Life Sciences sales opportunities. Designs Salesforce-based architectures across Sales, Service, Marketing, Data 360, Agentforce, and Life Sciences Cloud; conducts executive discovery, demos, and workshops; addresses regulated-industry requirements and integrations; develops value narratives; coordinates specialist resources; mentors solution engineers; and shares customer insights with product and industry teams.

Lead Salesforce solution architecture across complex federal and defense engagements from presales through delivery. Act as a trusted advisor, define target-state designs, guide discovery and requirements, manage risks, align executives, and ensure architectural integrity. Develop scalable mission-aligned solutions, improve delivery practices, communicate complex concepts, and advise customers on Salesforce platform technologies and public-sector digital transformation.

The Solution Engineer collaborates with clients to design and demonstrate Salesforce solutions that drive business success, leveraging technical and sales skills to solve complex problems.

Leads go-to-market strategy, messaging, launches, demos, content, and enablement for Salesforce strategic technology partnerships. Coordinates Product, Product Marketing, Business Development, Sales, Communications, and partners from partnership formation through post-launch adoption. Builds and manages a team, budgets, launch plans, sales materials, and technical storytelling programs while aligning stakeholders around positioning, segmentation, customer journeys, and sales motions.

Designs and builds production AI agent systems that combine LLM reasoning with deterministic execution. Responsibilities include backend services, workflow state management, recovery and verification, evaluations, diagnostics, secure customer integrations, and architecture leadership. The role involves direct customer collaboration, turning workflows into reusable product capabilities, evaluating models and tools, mentoring engineers, conducting design reviews, and guiding technical direction across agent and backend systems.

Supports sales of Salesforce Agentforce IT Service by demonstrating ITSM capabilities, articulating solution value, evangelizing AI-powered service workflows, and showing integration across Salesforce products. The role serves as a subject matter expert for incident management, conversational support, CMDB functionality, automation, and unified IT and HR service experiences. It partners with customers and sales teams to identify solutions that drive adoption and revenue.

Leads Salesforce’s Forward Deployed Engineering team in delivering enterprise Agentic AI solutions. Defines deployment strategy, multi-agent architectures, development lifecycle standards, governance, and operating models. Builds and develops a high-performing technical team, partners with Product, Engineering, Sales, Security, and Legal, and influences Agentforce’s product roadmap. Requires deep expertise in enterprise AI, LLMs, RAG, distributed systems, orchestration, and secure production deployments, with 30% customer travel.

Owns the roadmap and lifecycle of AI-native process blueprints for Salesforce Life Sciences Cloud. Designs and deploys Agentforce workflow automations, translates customer needs into product requirements, manages backlogs and Agile delivery, validates solutions, and partners with engineering, design, customer teams, and implementation partners. The role focuses on automating regulated Life Sciences workflows, gathering customer insights, enabling adoption, and delivering measurable improvements in efficiency, productivity, and customer value.

Build and lead frontend architecture for Salesforce’s large-scale digital ecosystem. Responsibilities include developing scalable React-based components, owning features from design through delivery, defining testing strategies, optimizing performance and security, and maintaining platform stability. The role collaborates with product, UX, and engineering teams, integrates AI tools into development workflows, mentors engineers, presents technical designs, and champions accessibility, quality, observability, and cross-browser compatibility.

Build and maintain MeshMesh backend services, APIs, and customer-facing full-stack features. Collaborate with product and design teams, write tested and maintainable code, and participate in code reviews. The role requires production experience across frontend and backend layers, modern web frameworks, backend languages, API design, and AI-assisted development using Claude or similar tools. Networking, real-time systems, early-stage product scaling, DevOps, security, and architecture experience are preferred.