Top Tech Jobs & Startup Jobs

Analyze paid marketing performance across channels, campaigns, audiences, and creatives from initial click through funded deal. Build quality and funnel metrics, evaluate experiments, validate attribution and data quality, develop dashboards, and communicate actionable recommendations to marketing and executive stakeholders. The role uses SQL, Python, marketing platforms, web analytics, and AI tooling to optimize acquisition efficiency and funded-customer outcomes.

Design and evaluate pricing, credit, and portfolio strategies for a fintech lending business. Analyze vintage trends, roll rates, losses, delinquencies, renewals, portfolio composition, and unit economics. Build models and sensitivity analyses, measure realized outcomes, identify automation and growth opportunities, and partner with Data Science, Engineering, Credit, Pricing, and Sales. Present defensible recommendations and economic cases to executives, including the CEO.

Design and evaluate pricing, credit, and portfolio strategies for small-business financing products. Analyze unit economics, vintage and cohort trends, roll rates, losses, delinquencies, renewals, and portfolio composition. Build quantitative business cases, measure strategy outcomes, identify automation opportunities, and partner with Data Science, Engineering, Credit, Pricing, and Sales leaders. Present defensible recommendations and uncertainty to executives.

Analyze paid marketing performance across channels, campaigns, audiences, and creative; evaluate the full acquisition funnel through funded deals; develop quality and attribution metrics; design experiments; validate marketing data; build dashboards; and communicate actionable recommendations to marketing and executives.

Lead the marketing analytics function, owning attribution, media mix modeling, incrementality testing, predictive lead-value modeling, full-funnel measurement, and marketing data infrastructure. Set the analytics roadmap, guide data science and engineering teams, establish campaign and data governance, connect marketing performance to downstream profitability, and advise executives on budget and growth decisions. The role also involves building the team, reviewing analytical methodologies, and applying modern AI and LLM tooling.

Leads product vision, strategy, roadmap, and lifecycle for a fintech funding platform. Oversees product management and operations teams, drives funding automation and credit underwriting initiatives, partners cross-functionally on delivery and compliance, and embeds responsible AI practices. Uses analytics, experimentation, customer research, and performance metrics to improve conversion, retention, funding velocity, and satisfaction. Requires extensive product leadership experience, fintech or regulated-platform expertise, Salesforce experience, and strong executive communication skills.

Leads product vision, strategy, roadmap, lifecycle execution, and a growing product organization for a fintech funding platform. Partners with Engineering, Sales, Operations, Marketing, Risk, Compliance, and Finance to deliver funding automation, credit underwriting, and data-driven customer experiences. Establishes product practices, metrics, experimentation, customer feedback loops, and responsible AI development while ensuring regulatory alignment and measurable business outcomes.

Leads product vision, strategy, roadmap, execution, and team scaling for a fintech funding platform. Partners with Engineering, Sales, Operations, Marketing, Risk, Compliance, and Finance to deliver funding automation, underwriting, and customer-facing products. Establishes product practices, metrics, experimentation, customer insight programs, and responsible AI integration while driving measurable business outcomes in a regulated environment.

Design, build, and optimize secure Amazon Connect contact-center solutions on AWS. Responsibilities include configuring routing, IVR, chatbots, AI self-service, outbound campaigns, Contact Lens analytics, CRM and AWS integrations, infrastructure automation, CI/CD, monitoring, security, compliance, documentation, and tier-3 support. The engineer will also perform root-cause analysis, optimize contact-center KPIs, and help develop technical roadmaps.

Lead end-to-end development, deployment, monitoring, and governance of production risk-based pricing and credit models. Perform EDA, feature engineering, model validation, A/B testing, and partner with DevOps/Product/Engineering to ship ML services and maintain model lifecycle, using modern AI/LLM tooling to accelerate work.