Top Tech Jobs & Startup Jobs

Design and build agentic AI systems that analyze ServiceNow Discovery logs, failures, and execution results. Develop agents for failure classification, root-cause analysis, troubleshooting, and corrective-action recommendations. Create guarded capabilities to generate probe and pattern corrections, and build data-processing pipelines and API integrations for telemetry ingestion. Apply advanced Python, REST API, generative AI, RAG, vector databases, CI/CD, testing, and production engineering practices.

Leads end-to-end technical delivery across Salesforce, AI agents, integrations, and enterprise workflows. Designs scalable solutions, builds AI-enabled agent experiences using Claude and Agentforce, manages project dependencies and risks, reviews technical implementations, and mentors engineering teams. Partners with business, product, architecture, data, and engineering stakeholders to define priorities and operationalize solutions while ensuring governance, security, reliability, and supportability.

Leads end-to-end technical delivery across Salesforce, AI agents, integrations, and enterprise workflows. Designs scalable solutions, builds AI-enabled workflows using Claude and Agentforce, manages project execution, reviews technical implementations, mentors engineers, and coordinates stakeholders across business, product, data, architecture, and engineering teams. Ensures governance, security, reliability, and supportability while prioritizing high-value use cases.

Build Snowflake tables, Tableau dashboards, and financial reports supporting subscription and promotional offer performance. Conduct variance, quantitative, retention, lifetime-value, and discount-strategy analyses. Ensure data accuracy through quality controls and anomaly resolution, respond to ad hoc stakeholder requests, and communicate insights to Finance, Marketing, Product, and Distribution teams.

Build Snowflake analytical tables, Tableau dashboards, and financial reports for subscription and promotional offer performance. Conduct variance, customer behavior, retention, lifetime value, and discount strategy analysis. Ensure data quality, investigate anomalies, respond to ad hoc stakeholder requests, and communicate insights to Finance, Marketing, Product, Distribution, and Insights teams.

Lead end-to-end technical delivery across Salesforce, AI agents, integrations, and enterprise workflows. Design scalable solutions, build AI-enabled workflows using Claude and Agentforce, manage project execution and cross-team dependencies, review technical implementations, mentor engineers, and ensure governance, security, reliability, and supportability. Partner with stakeholders, product managers, architects, data teams, and engineering groups to prioritize use cases and deliver business-aligned solutions.

Build production-grade AI applications, agents, backend services, and MCP integrations using Java and/or Python. Design agentic workflows, prompt orchestration, context and memory patterns, tool calling, evaluations, and reliable LLM integrations. Collaborate on scalable AI engineering patterns, troubleshoot production issues, improve observability and efficiency, support releases, and document best practices.

Build production-grade AI applications, agents, backend services, and MCP integrations using Java and/or Python. Design agentic workflows, prompt orchestration, context management, tool calling, memory, and evaluation systems. Integrate LLMs with enterprise tools while balancing reliability, performance, cost, and safety. Collaborate across engineering and product teams, investigate production issues, improve observability, support releases, resolve incidents, and document AI engineering best practices.

Build Snowflake tables, Tableau dashboards, and financial reports supporting subscription and promotional offer decisions. Perform variance analysis, customer behavior analysis, discount modeling, retention and LTV analysis, data quality monitoring, and ad hoc reporting for Finance, Marketing, Product, and other stakeholders. Explain analytical findings clearly and independently manage projects in a fast-paced remote environment.

Leads end-to-end technical delivery across Salesforce, AI agents, integrations, and enterprise workflows. Partners with stakeholders and engineering teams on scope, architecture, priorities, and implementation. Builds AI-enabled workflows using Claude and Agentforce, manages delivery risks and dependencies, reviews technical designs and code, mentors engineers, and ensures solutions meet governance, security, reliability, and supportability standards.