Top Tech Jobs & Startup Jobs

The Enterprise Sales Manager will drive new logo acquisition, manage the full-cycle sales process, and present AI solutions to C-level executives, collaborating with internal teams to build and close quality pipeline deals.

Design, develop, test, and maintain enterprise COBOL applications on IBM mainframe platforms. Build and enhance batch and online transaction processing systems, troubleshoot production issues, optimize performance, and support modernization and integration efforts. Collaborate with architects, stakeholders, and engineering teams, participate in code reviews, and produce technical documentation to support mission-critical financial services applications.

Serve as executive owner of strategic enterprise accounts, driving revenue, margin, and delivery excellence. Build CxO relationships, lead complex deals, manage P&L, oversee delivery, and execute multi-year account growth strategies for AI, data, cloud, and engineering services.

Lead design, develop, implement, and maintain Siebel CRM and integrated web applications. Provide technical leadership, complex business logic development, EAI integration, SQL/PLSQL tuning, and Tier 3 support including crash-log and data sync troubleshooting.

Embed with strategic customers to design, build, and deploy frontier AI/LLM systems into production. Responsibilities include discovery, architecture, integration, prototyping, deployment, observability, safety evaluations, and driving adoption and product feedback.

Design and optimize large-scale AI platform internals: inference runtimes, model serving, GPU and distributed performance, context engineering, cost optimization, release safety, observability, and production reliability. Provide technical leadership, mentor engineers, define architecture trade-offs, and ensure safe, cost-efficient, and scalable deployment of LLM and agentic systems.

Lead design and delivery of scalable Salesforce solutions focused on CPQ, Core Salesforce, and Experience Cloud. Provide technical leadership, define development standards, translate stakeholder requirements into architecture, oversee implementations, integrations, and customizations, identify risks and mitigations, and drive continuous improvement aligned with Salesforce best practices.

Design, build, fine-tune, and deploy Generative AI solutions using LLMs (Python). Preprocess unstructured data, apply prompt engineering, RAG, and vector DBs, deploy and monitor models/APIs, and collaborate cross-functionally while following engineering best practices.

Design, build, and deploy generative AI solutions using LLMs in Python. Preprocess unstructured text, apply prompt engineering, fine-tuning, and RAG with vector databases, use orchestration tools (LangChain, LlamaIndex), deploy scalable model APIs, monitor production, and collaborate cross-functionally.