Top Tech Jobs & Startup Jobs

Optimize yield and matching models to improve consistency, forecasting, and automation. Analyze historical trading data, develop statistical strategies, collaborate with developers and commercial leaders, deploy production solutions, and present findings to non-technical stakeholders.

Develop and coordinate RFPs and proposals, recommend qualitative solutions, organize pricing and resourcing, and support client presentations. Collaborate with researchers, moderators, project managers, business development, consulting, creative, and client teams. Build client relationships, support account strategies, present qualitative capabilities, contribute to product demonstrations, and monitor pipeline, budgets, pricing, margins, and opportunity performance.

Lead complex, high-visibility qualitative research programs for enterprise technology clients. Advise senior stakeholders, oversee multi-market initiatives, manage risks, scope, recruitment, timelines, budgets, vendors, and cross-functional execution. Develop operational frameworks, improve scalability, navigate ambiguity, and provide strategic recommendations that protect delivery quality, client retention, and account growth.

Leads brand strategy and consulting engagements from project planning through delivery, serving as the primary client contact and overseeing teams, analysis, storytelling, presentations, workshops, financial management, and quality. Develops actionable recommendations from research and multiple data sources, mentors junior staff, supports proposals and business development, and identifies opportunities to improve processes through technology and AI.

Leads quantitative research projects from client brief through insight delivery, building trusted client relationships and delivering strategic recommendations across brand, creative, communications, and innovation. Converts data into commercially relevant insights, manages multidisciplinary collaboration and multiple priorities, and uses AI, technology, and automation to improve research efficiency and outcomes. Supports business growth, coaches junior colleagues, and contributes to a collaborative culture of continuous learning.

Lead yield optimization efforts by improving models for consistency, forecasting, and explainability. Analyze historical trading data, develop statistical strategies, collaborate with developers and commercial teams, deploy models to production, and present findings to non-technical stakeholders to drive automated, data-driven decisioning and continuous improvement.

Drive new revenue and identify client needs for Media Effectiveness solutions across media and agency clients. Manage full sales cycle from prospecting to close, maintain pipeline and forecasts, lead RFPs and proposals, present to senior clients, and negotiate pricing. Advise on digital measurement, product fit, and financial implications while collaborating with internal teams to grow client relationships and solutions.

Build scalable, distributed backend services and event-driven systems for AI-driven digital twins. Develop high-throughput, low-latency APIs and microservices in Node.js/TypeScript or Python, orchestrate AI agent systems, and collaborate with product and data science teams while mentoring engineers and shaping technical direction.