Red Ventures

Product Manager

• Own and evolve the product roadmap across all digital surfaces, translating business and traveler goals into a prioritized, coherent strategy
• Balance short-term delivery with long-term platform thinking; know when to build for now and when to build for scale
• Write clear, high-quality PRDs and Jira tickets that let engineering and design move fast and build right
• Use analytics, experimentation, and behavioral insights to drive decisions and measure impact — direct ownership of CVR, RPV, AOV, engagement depth, and membership growth
• Accelerate how the team works: sharpen frameworks, improve prioritization, raise the quality of requirements — not just your own output
• Identify and apply AI tools to improve both team workflows and traveler-facing experiences
• Drive alignment across Design, Engineering, Editorial, Marketing, and App — unblocking decisions and maintaining momentum
• Partner with CMS and Editorial to evolve content creation, management, and distribution systems
• Lead the product side of partnership deal implementation and define site-level integration strategy

Principal Product Manager – Digital & Commerce

• Develop starter kits and accelerator kits: Package your agents, orchestration patterns, and workflows into reusable kits that enable business delivery teams to adopt agentic execution within their client engagements. You will drive adoption by making it easy for others to use and extend what you build.
• Roadmap and build agentic systems: You will sit with the business team to identify opportunities and then design, create, and deploy the agents that power our coordinated execution systems. These frameworks will be the foundation for enabling others to build bespoke solutions as well. You will work to compose these agents into end-to-end workflows that replace fragmented manual processes with scalable, intelligent systems.
• Own workstreams across the delivery workflow: Operate as the day-to-day product lead across key workstreams within the agentic delivery workflow. You will define the “how” for your areas of ownership, turning strategic vision into execution plans and driving progress across cross-functional teams.
• Shape the Growth Intelligence integration: Partner with data science, engineering, and client teams to define how structured business context — experiment outcomes, market signals, compliance rules, design system specifications, and partner configurations — is made accessible and actionable by the agents you build.
• Measure and communicate impact: Define success criteria for your workstreams, track outcomes, and communicate ROI and areas of opportunity to leadership. You own the results of what you ship.

Senior AI Product Manager – Agents

Engineering Manager

• Lead a team of Data Engineers with varied experience level to design and build data pipelines from various data sources to a target data warehouse using real-time and batch data load strategies utilizing cutting edge cloud technologies.
• Serve as a people leader by directly mentoring and coaching engineers, supporting formal performance review cycles, and providing regular, actionable feedback to drive individual growth and team success.
• Work with a cross functional team of business stakeholders, engineering leaders, data analysts and data scientists to formulate both business and technical requirements.
• Partner with business and data leaders to understand broader business strategies and define a roadmap outlining how the team will support and enable key initiatives.
• Establish and enforce standards for documenting data platform designs, including logical and physical data models, metadata, ETL specifications, and end-to-end integration workflows.
• Design processes for ensuring data quality and integrity while providing timely responses to ad hoc requests.
• Lead and execute proof-of-concepts where appropriate to assess, validate, and improve technical processes and approaches.

Data Engineering Manager

Full-stack Engineer

• Design and implement agentic workflows that materially reduce delivery time and cognitive load
• Build reusable accelerators, templates, and shared services for engineers, product managers, designers, and analysts
• Apply orchestration tools (LangChain, LangGraph, LangSmith, MCPs, n8n) with judgment—knowing where agents add leverage and where simpler solutions win
• Define and evangelize AI-first development practices across teams
• Leverage AI-enabled development environments (Cursor, Windsurf) and establish best practices for human + AI collaboration
• Drive measurable step-changes in team velocity and consistency
• Architect and Build LLM- and ML-powered solutions supporting digital journeys, call-center workflows, decisioning, and personalization
• Develop end-to-end systems using Python, JavaScript/TypeScript (optionally Go)
• Partner with Data Science to integrate generative AI with traditional ML (classification, regression)
• Build AI-enabled interfaces using modern web stacks (React, Next.js, TypeScript)
• Ensure scalability, reliability, security, and observability
• Design modular, reusable AI systems that scale across clients and use cases
• Build and operate production LLM systems, including RAG and agent-based architectures
• Use Databricks for AI development (Spark, Delta Lake, MLflow)
• Apply strong engineering discipline: Git workflows, code reviews, TDD, CI/CD
• Mentor engineers and shape shared standards, patterns, and documentation

Staff Engineer – Agentic Workflows

Software Engineer

• Lead adoption of agentic workflows and AI-first delivery models across client delivery teams
• Build shared services, accelerators, and reusable patterns that materially reduce delivery timelines
• Measure and continuously improve delivery efficiency, quality, and consistency
• Ensure agentic systems are reliable, maintainable, and applied with clear leverage
• Define and scale AI-assisted development practices (Cursor, Windsurf, agent frameworks)
• Partner closely with delivery teams to understand friction points and build solutions that drive adoption
• Develop compelling business cases for technology investments in agentic systems and AI infrastructure
• Quantify impact through metrics like delivery time reduction, quality improvements, and team velocity gains
• Communicate technical strategy and ROI to senior leadership and stakeholders
• Influence resource allocation and prioritization across competing initiatives
• Translate technical capabilities into business value that resonates with non-technical audiences
• Set architectural direction for agentic systems, accelerators, and shared AI services
• Ensure systems are modular, secure, observable, and production-ready
• Uphold strong engineering discipline while balancing innovation and pragmatism
• Provide hands-on guidance to Senior and Staff engineers when needed
• Define standards across Python, JavaScript/TypeScript, testing, CI/CD, and MLOps
• Hire, develop, and retain AI engineers
• Set clear expectations, career paths, and growth plans
• Foster a culture of accountability, curiosity, experimentation, and delivery
• Coach teams to operate effectively in ambiguous, fast-moving environments
• Build a team that thinks like internal entrepreneurs; focused on customer (delivery team) adoption and impact
• Act as a trusted partner to delivery teams, Product, Design, and Data leadership
• Translate business strategy into executable technical plans
• Communicate tradeoffs, progress, and impact to senior leaders with clarity and conviction
• Influence effectively in a matrixed organization where adoption matters as much as technical execution
• Build coalitions and drive alignment across stakeholders with competing priorities.

Principal Product Manager – Digital & Commerce

Senior AI Product Manager – Agents

Data Engineering Manager

Staff Engineer – Agentic Workflows

Director of Engineering – Agentic Workflows