Top Tech Jobs & Startup Jobs

Design, build, test and maintain scalable Java/Spring Boot services. Collaborate with product and teams to define requirements, write clean code, implement RESTful APIs, use TDD, automate tasks, monitor performance, debug, review code, and ensure systems remain up-to-date and production-ready.

Design, build, and maintain AI platform infrastructure and services. Implement scalable backend systems, REST APIs, CI/CD, observability, automated testing, and cloud-native streaming. Collaborate across teams, apply TDD, and use generative AI tools to accelerate development.

Design and govern the end-to-end Product-to-Cash Salesforce architecture (quoting through revenue recognition). Coach engineers, produce HLD/LLD, manage roadmaps, build POCs, architect billing platforms, govern integrations, apply AI-first solutions (Agentforce/Claude), and ensure scalability, security, and alignment with enterprise architecture.

Own go-to-market execution and adoption for assigned products: define positioning, lead GTM readiness, enable sales and customer-facing teams, run beta and validation programs, monitor adoption and revenue, support strategic deals, synthesize customer and competitive insights, and mentor Outbound PMs to drive launch effectiveness and adoption growth.

Lead Salesforce Product-to-Cash architecture, coach engineers, design HLD/LLD and roadmaps, govern integrations and billing systems, build POCs, apply AI-first solutions, and ensure scalable, secure Revenue Cloud/CPQ implementations across quoting, billing, invoicing, and revenue processes.

Design, build, and maintain scalable AI platform infrastructure and services. Develop RESTful APIs, implement CI/CD for model deployment, ensure observability and container security, use generative AI tools in development, collaborate across teams, apply TDD and monitoring to deliver reliable, high-performance AI-enabled software.

Build, deploy, and support AI agents and intelligent workflows on Microsoft Azure and other enterprise AI platforms. Design orchestration, integrate LLMs, implement APIs and RAG/vector DBs, ensure responsible-AI guardrails, collaborate across product and operations, and monitor production AI workflows.

Provide end-user EHR support for clinical users: triage and resolve cases, escalate when needed, maintain CRM records and knowledge articles, build client relationships, work shifts between 8am–8pm, and contribute to process and tool improvements.

Own the data platform product portfolio, prioritize datasets and capabilities, define schemas and governance, partner with engineering and analytics, enable trusted consumable data, run discovery with domain experts, track data health and adoption, and drive cross-team alignment to support downstream products and analytics.

Product Manager for Data Platform owning roadmap and backlog to operationalize datasets, ensure trusted, well-modeled data, collaborate with engineering and product teams, run discovery with domain experts, enable data cataloging and governance, monitor data health and adoption, and drive cross-team alignment.