Top Tech Jobs & Startup Jobs

The AI Product Manager will oversee the AI product portfolio, manage tool licensing, collaborate with business leaders, and track AI adoption metrics. Responsibilities include designing AI programs, prioritizing use cases, and maintaining governance frameworks for AI usage across departments.

The Senior Director of Marketing Engineering will lead Four's marketing strategy, combining AI-driven initiatives with creative content development while managing acquisition, retention, and compliance efforts.

Lead design and delivery of AI-powered prototypes and early production systems using LLMs, vector databases, and cloud-native architectures. Build full-stack integrations, APIs, prompts, and agent workflows; partner with product, data, and security teams to transition POCs to production and ensure responsible, scalable solutions.

The Senior IT Auditor evaluates risk management and governance processes, conducts audits, and provides recommendations to enhance controls and improve processes.

The Senior IT Auditor evaluates risk management and governance processes, conducts audits, provides recommendations, and collaborates with stakeholders to improve organizational processes.

The Principal Software Engineer will architect, design, and develop AI-powered solutions, collaborate across teams, and ensure high-quality delivery of projects.

Lead strategy and execution for Progressive's B2B API platform: define multi-year vision and roadmap, own API lifecycle and governance, enable retailer and partner integrations, measure API reliability and adoption, and manage/mentor product managers to scale the platform.

The Data Scientist will blend analytics, data mining, machine learning, and software engineering to develop decision systems and predictive models, driving business impact.

Design and build AI-driven POCs and early-production systems using LLMs, agentic workflows, and vector databases; integrate with Copilot/ChatGPT and other models; develop full-stack APIs, data pipelines, and cloud-native deployments; create prompts, tools, and agent architectures; partner across teams to ensure responsible AI and transition POCs to production; research and document AI experiments.

Design and build AI-powered prototypes and early production systems using LLMs, agentic workflows, and vector databases; integrate with model platforms; develop full-stack APIs, data pipelines, and cloud-native deployments; drive experiments, POCs, and transition solutions to production while partnering across product, data, and security.