Top Tech Jobs & Startup Jobs

Build and maintain golden datasets and automated evaluation pipelines to audit multi-agent LLM behavior. Trace trajectories, tune prompts and function-calling, optimize tool integrations (APIs, RPA), monitor production drift and hallucinations, and implement guardrails and RAG pipelines to ensure reliable autonomous workflows.

Manage daily call center operations and team performance to meet SLAs. Oversee scheduling, coaching, adherence monitoring, reporting, escalations, DSAT resolution, and process improvements. Partner with business units and shared services to implement productivity enhancements and ensure policy compliance.

Lead a team that manages client onboarding, activation, and ongoing technical support. Own SLAs, monitor KPIs, resolve complex issues, improve activation/support processes, and promote data quality and a proactive, customer-first culture to ensure reliable, usable client data and strong customer satisfaction.

Design, build, and deploy enterprise-grade GenAI and multi-agent AI solutions integrated with RPA (UiPath). Lead a cross-functional delivery squad, create secure AI architectures on Google Cloud (Vertex AI), produce technical blueprints, enforce code and security governance, and translate technical risks to business stakeholders while rapidly prototyping and operationalizing intelligent automation.

Own data domain product responsibilities: support data pipeline processes, data governance (lineage, taxonomy, quality, privacy), create data documentation and models, monitor key data metrics, support new data initiatives, and improve business use of data.

Design and lead rollout of complex multi-region cloud applications, provide SME guidance to development and infrastructure teams, ensure production readiness, enforce DR/scalability/security standards, and communicate technical roadmaps to stakeholders.

Lead and mentor cross-functional engineering teams to design, build, and operate cloud-native microservices and big-data solutions. Drive architecture, CI/CD, IaC, SLAs/SLOs, DevSec/FinOps compliance, prototyping, and stakeholder communication while managing releases, documentation, and operational runbooks.

Lead and manage cross-functional engineering teams to design, build, and operate cloud-native, microservice-based solutions. Drive architecture decisions, CI/CD releases, SRE/KPIs, technical documentation, and stakeholder communications. Develop cloud and big-data processing solutions, prototype R&D, mentor engineers, and ensure DevSec/FinOps compliance.

Own and translate LOB product vision into a technical roadmap for web, mobile, and API channels. Lead backlog prioritization, define API and platform requirements, manage tradeoffs, and use analytics/telemetry to optimize channel performance. Drive agile delivery and collaborate closely with business and engineering stakeholders.

The Federal Solutions Consultant collaborates with sales, product, and implementation teams to provide solutions and support for federal government clients, focusing on social service programs. Responsibilities include demos, proposal leadership, solution design, customer engagement, and cross-functional coordination, leveraging deep product knowledge to address client needs.