Top Tech Jobs & Startup Jobs

Owns the health and operational performance of an enterprise data platform across hybrid technical environments. Leads incident triage, problem management, governance, SLA reporting, data modeling standards, stakeholder escalations, and post-incident reviews. Builds AIOps and intelligent observability capabilities to automate detection, correlation, and resolution. Requires strong dbt, SQL, data warehousing, scheduling, ITSM, and data operations experience, with Snowflake and cloud cost optimization preferred.

Lead the strategy, development, delivery, and adoption of AI-powered marketing and sales products for enterprise clients. Translate business needs into product requirements, manage roadmaps, prioritize features, coordinate data science and engineering teams, oversee consulting engagements, and drive measurable business outcomes across revenue operations. The role also includes executive stakeholder management, client workshops, cross-functional delivery leadership, team mentoring, and change management.

Lead the design, training, evaluation, deployment, and scaling of production machine learning systems. Build LLM fine-tuning, RAG, agentic, real-time, and batch inference pipelines using modern MLOps practices. Apply transformers, diffusion models, RLHF, and multimodal architectures while integrating AI into business applications. Mentor junior engineers and promote scalable, tested, monitored, and responsible AI development.

Design, develop, and maintain scalable data pipelines and ETL processes using AWS, Databricks, and Snowflake. Collaborate with data scientists and analysts to support analytics and machine learning initiatives. Optimize data storage, performance, reliability, and cost. Implement data governance and security practices, troubleshoot pipeline issues, monitor systems, and recommend emerging technologies.

Partners with business leaders, managers, and employees on engagement, performance management, talent development, retention, employee relations, and employee experience. Coaches managers, supports hiring and onboarding, tracks HR metrics, guides policy and employee lifecycle processes, handles concerns and conflicts, and supports organizational change and culture initiatives. The role also develops engagement action plans and provides HR insights in a fast-paced AI environment.

Build and deploy production LLM agents for client engagements on the Gemini Enterprise Agent Platform. Responsibilities include agent development, tool and MCP integration, graph-based grounding, data pipelines, evaluation, observability, governance, infrastructure deployment, and catalog publishing. The role partners closely with client engineers, supports proofs of concept and demos, and transfers maintainable solutions to client teams.

Designs and develops end-to-end batch and streaming data pipelines, including ingestion, transformation, consumption, data modeling, ETL/ELT, performance optimization, testing, quality, lineage, and governance. The role uses AI coding tools such as Copilot, Claude, and Gemini, integrates complex workflows on GCP, establishes engineering best practices, mentors junior engineers, and supports scalable production data environments.

Lead AuxoAI’s US brand and ecosystem marketing engine across Google Cloud and AWS partnerships. Own partner co-marketing, field events, earned media, PR, executive speaker programs, thought leadership, and influencer engagement. Build pipeline and market credibility while managing the India-based content and design team, aligning creative output with US partner and field priorities. Track brand visibility, media impact, event ROI, partner marketing performance, and content quality.

The MicroStrategy Developer is responsible for BI application management, including developing dashboards, collaborating with stakeholders, and optimizing performance using MicroStrategy.

Develop and drive AI strategies for clients by identifying AI use cases, conducting assessments, collaborating with cross-functional teams, and leading projects to deliver measurable business outcomes across sales, marketing, and customer experience.