> Markdown version of [/jobs/ext/2981847-artificial-intelligence](https://www.wearedevelopers.com/jobs/ext/2981847-artificial-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence - **Company:** Industry - **Location:** Old Bullion, NV, United States (Remote available) - **Experience:** Starter - **Salary:** $177,000.0 - $294,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Data Validation, Data Migration, Machine Learning, Natural Language Processing, Search Engines - **Published:** September 18, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/product-manager-dbs/11227355 ## About the Role * 3+ years of product management experience owning customer-facing products, including relevant experience in hospitality technology or travel booking * Relevant, demonstrable connection to the US market * Hands-on customer research skills - hotelier and traveler interviews, usability testing, and translating findings into clear priorities * Strong analytical and experimentation skills - diagnosing booking-funnel friction, testing improvements, and measuring booking conversion, hotel adoption, and retention * Comfortable working through detailed user journeys with Design and Engineering, making trade-offs, and shipping in small iterations * Able to operate independently with ambiguity, prioritize by customer and business value, and align Engineering, Design, Sales, and Customer Success What We're Looking For: Industry-Grounded - You've worked in hotel technology, B2B hospitality platforms, or a B2C travel product with an actual booking journey. Deep exposure to hotel distribution systems is a plus, not a prerequisite - strong B2C travel/booking experience counts too. US Market Fluent - You have demonstrable familiarity with US hotels or travel customers, whether through working with them directly or through living and studying in the US combined with hospitality experience. Booking UX Owner - You understand the details of a booking flow - calendars, date selection, room and rate choice, checkout, confirmation - and the logic behind it: availability, rates, cancellation policies, and PMS/CRS or booking-engine integrations. You can spot friction before a customer complains about it. Fluent in Both Guest and Hotel - You're as comfortable reasoning about a traveler's booking journey as you are about a hotelier's onboarding, adoption, and ROI. ## Description Remote Hiring Remotely in United States Mid level Remote Hiring Remotely in United States Mid level Own DBS end-to-end across the consumer hotel booking journey, hotel-facing onboarding and reporting workflows, and search and AI discovery capabilities. Define product vision, roadmap, user journeys, success metrics, and experiments; conduct customer research and usability testing; improve booking conversion and hotel adoption; and align Engineering, Design, Sales, Marketing, and Customer Success around measurable product outcomes. The summary above was generated by AI Bnberry is transforming the $87 billion travel tech industry by changing how hotels and resorts connect with guests worldwide. We're building DBS - a new kind of product that hotels adopt as a B2B SaaS business tool, and that travelers experience directly as a consumer-facing hotel booking journey. This is not a Product Owner or delivery-management role focused on writing tickets and managing developers. Your mandate is to own DBS end-to-end, connecting three product areas that most companies keep separate: the guest-facing booking experience, the hotel-facing workflows and business value, and how travelers discover hotels through search and AI tools. What You'll Own * The consumer-facing booking journey - including the logic behind it: availability, rates, cancellation policies, and how PMS/CRS or booking-engine integrations shape what the guest sees * Hotel-facing workflows tied to DBS: onboarding, reporting, and adoption * The product capabilities that help hotels improve and measure visibility across search engines and AI discovery tools, in partnership with Marketing and relevant specialists * Booking-funnel performance and conversion * The link between guest experience and measurable hotel business value What You'll Do * Define product vision and roadmap for DBS, connecting guest booking UX, hotel workflows, and AI discovery into one coherent product * Own the booking journey end-to-end - identify friction in calendars, date selection, room/rate selection, checkout, and confirmation, and understand how availability, rates, cancellation policies, and PMS/CRS or booking-engine integrations affect what the guest experiences; work with Engineering on dependencies and failure cases * Translate hotel onboarding, reporting, and adoption needs into product decisions that show measurable business value to hotel customers * Own the product capabilities behind search and AI/GEO visibility - partner with Marketing and relevant specialists on execution, while building enough SEO/GEO literacy to identify and prioritize the right product bets * Interview hoteliers and travelers and run usability tests; translate qualitative and quantitative findings into clear priorities * Define success metrics before building, and use experiment results to guide iteration * Work closely with Design and Engineering through detailed user journeys, making trade-offs and shipping in small, practical iterations * Align Engineering, Design, Sales, and Customer Success around DBS priorities, and take responsibility for product outcomes, Fast Learner on AI/SEO - You understand how travelers discover hotels through search and AI tools, and can pick up emerging SEO/GEO capabilities quickly enough to know which product bets are worth making - without needing to personally execute SEO. Success Metrics Examples include: booking conversion rate, hotel adoption of DBS, feature adoption, booking-funnel completion, search and AI/GEO visibility for hotels on DBS, customer and hotelier satisfaction, and retention. Important Clarification, This role is not a traditional Product Owner responsible primarily for backlog management and task assignment. The focus is on owning DBS as a genuinely new product category - one that has to work as a business tool for hotels and as a booking experience travelers actually use., Build, test, and ship production-grade full-stack software and AI-powered systems for Pfizer's Medical Affairs portfolio. Integrate LLMs, agentic AI, and RAG pipelines; develop scalable systems from prototypes through production; optimize prompts for cost, latency, and quality; integrate enterprise platforms; and monitor AI/ML performance. Collaborate with architecture, product, UX, and data engineering teams while maintaining strong code quality, documentation, testing, and verification practices. Top Skills: Agentic AiAgileApi-First DesignAWSAzureCi/CdGdprGxpHipaaLlmopsLlmsMlopsRagSalesforce Life Sciences CloudSalesforce Marketing CloudScrumVector DatabasesVeeva Crm Mondelēz International o9 Data & Integration Lead Yesterday Remote or Hybrid Entry level Entry level Big Data * Food * Hardware * Machine Learning * Retail * Automation * Manufacturing Lead the o9 data enablement program across AMEA and MEU, including roadmap delivery, data migration, governance, quality, integrations, reporting, vendor management, and cutover execution. Coordinate business, technical, and external stakeholders; resolve dependencies and blockers; manage testing, reconciliation, go-live command centers, hypercare, and downstream data validation. Translate technical issues into executive recommendations while building reliable analytics practices and teams. Top Skills: APIsAtaccamaAWSDatabricksETLGCPGenie BiJupyterMySQLO9OraclePower BIPythonQuickRRstudioSnowflakeSQLTableau Pfizer ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Swapping a Data Warehouse at Runtime: Zero-Downtime Migration Without Changing a Single Client](https://www.wearedevelopers.com/videos/100311-swapping-a-data-warehouse-at-runtime-zero-downtime-migration-without-changing-a-single-client) - [Writing a full-text search engine in TypeScript](https://www.wearedevelopers.com/videos/504-writing-a-full-text-search-engine-in-typescript) - [100 million days in Vienna: A story of APIs & AI in tourism.](https://www.wearedevelopers.com/videos/93-100-million-days-in-vienna-a-story-of-apis-ai-in-tourism) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [What If We Designed Employee Experience Like a Customer Journey?](https://www.wearedevelopers.com/videos/1824-what-if-we-designed-employee-experience-like-a-customer-journey) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [5 Reasons Why Attending Conferences in 2026 Matters More Than You Think](https://www.wearedevelopers.com/magazine/692-5-reasons-why-attending-conferences-in-2026-matters-more-than-you-think) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How to Tell if Something Was Written by ChatGPT](https://www.wearedevelopers.com/magazine/314-how-to-tell-if-something-was-written-by-chatgpt) - [Why Attend a Developer Event in 2026?](https://www.wearedevelopers.com/magazine/688-why-attend-a-developer-event-in-2026) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)