Top Tech Jobs & Startup Jobs

Owns strategic account growth for AI engineering and enterprise modernization services. Builds C-suite relationships, originates and wins complex transformation programs, shapes multi-year roadmaps, leads pursuits and commercial negotiations, and coordinates consulting, AI, data, cloud, product, design, engineering, and technology partners. The role converts pilots into scaled programs, develops executive perspectives, builds business cases, supports mobilization, coaches leaders, and drives pipeline, bookings, revenue, margin, and account expansion.

Leads advanced and predictive analytics for an insurance client, diagnosing business performance and analyzing conversion and customer trends. Partners with underwriting, marketing, data, and engineering teams to improve business rules and outcomes. Translates complex findings into executive narratives, dashboards, and recommendations while advising senior stakeholders, promoting data storytelling, and mentoring analysts.

Leads product analytics strategy and measurement for an enterprise AI platform. Defines KPIs, evaluates launches and product impact, integrates behavioral and employee-experience data, shapes roadmap and investment decisions, and owns executive performance narratives. Builds and coaches an analytics team while directing responsible AI-enabled workflows, dashboards, data validation, experimentation, and automated insight generation.

Lead hands-on delivery of agentic conversational AI solutions for banking IVR systems using Amazon Connect and Amazon Lex. Conduct experimentation, interaction-data analysis, model evaluation, intent and slot tuning, prompt development, and NLU performance optimization. Support LLM and GenAI capabilities, identify risks, and communicate findings and recommendations to leadership and project stakeholders.

Owns growth across strategic CPG accounts by building executive relationships, expanding revenue, identifying new opportunities, and shaping AI, data, cloud, and engineering modernization programs. Responsibilities include account strategy, upselling, proposal support, client governance, QBRs, delivery coordination, pricing, renewals, and performance management. The role requires strong CPG expertise, enterprise account management experience, knowledge of analytics and AI solutions, and the ability to manage multi-million-dollar accounts.

Lead strategic growth and account management for CPG clients, driving sales, margin, and $2M+ revenue targets. Serve as trusted advisor, shape transformation agendas, manage complex sales cycles, collaborate with analytics and consulting teams, and drive pre-sales, GTM and cross-functional initiatives.

Analyze and optimize marketing campaign ROI across channels, evaluate app and partner data, conduct funnel, cohort, attribution, and retention analyses, and develop actionable recommendations. The role requires Marketing Mix Modeling, Multi-Touch Attribution, forecasting, segmentation, and statistical analysis. The consultant will collaborate with product, analytics, engineering, and marketing stakeholders to define measurement strategies, build reporting mechanisms, and translate complex data into business insights that improve adoption, retention, revenue, and campaign effectiveness.

Lead the end-to-end development, deployment, and maintenance of production-grade AI solutions. Design agentic AI systems with tool integrations, orchestration frameworks, and multi-step reasoning workflows. Develop LLM-based solutions using prompt engineering, evaluation, and monitoring practices. Build scalable automation applications with Python and AWS, while establishing and maintaining CI/CD pipelines for reliable deployment and continuous improvement.

Owns end-to-end delivery of generative AI solutions, including LLMs, RAG, and AI agents, for BFSI applications. Translates business needs into AI product roadmaps and technical requirements, coordinates business, data science, and engineering teams, and leads AWS deployments. Defines success metrics and monitors model performance, adoption, governance, compliance, and business outcomes while staying current with agentic AI and enterprise AI platforms.

Establish and operationalize enterprise AI governance for a financial services organization. Responsibilities include defining governance frameworks, building an AI Registry, governing AI agents and applications, designing evaluation and testing methodologies, establishing architecture and risk controls, ensuring regulatory compliance, and leading stakeholder adoption. The role requires expertise in AI governance, responsible AI, enterprise architecture, cloud platforms, model risk, agentic AI, and financial services regulations.