AI Tools Manager, Matterport - Arlington, VA

AI Tools Manager, Matterport - Arlington, VAJob DescriptionCoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.Matterport is leading the digital transformation of the built world. Our spatial computing platform turns buildings into data, making every space more valuable and accessible. Millions of buildings in more than 170 countries have been transformed into immersive Matterport digital twins, powering use cases across marketing, documentation, construction, facilities management, and operations. Matterport also designs and sells industry-leading camera hardware through direct-to-consumer ecommerce and major online marketplaces.Role Overview: AI Tools ManagerArlington, VA | In office, Monday – FridayWe are seeking an AI Tools Manager to build and scale the AI capabilities Matterport's sellers use every day. This is a hands-on builder role who initially owns two products: the AI Sales Assistant, which generates pre-call briefings and account research for Account Executives, and an AI BDR agent that helps AEs identify prospects and run initial templated outreach.This role owns the roadmap and implementation for both, from current state through scaled deployment across the sales organization. The work spans discovery and product definition, roadmap prioritization and trade-off calls, implementation and integration with the systems sellers already use, and adoption across the sales team. Success is measured in seller behavior and pipeline impact.Those two products are the starting point, not the boundary. This role also owns the strategy behind the roadmap: researching and proposing a fully integrated AI go-to-market strategy across the entire Matterport tool set, and proposing and building the new tools that strategy calls for. We are looking for someone who wants to define where AI takes our revenue motion over the next several years, not only execute the two initiatives in front of us today.The work is equal parts product strategy, product management, systems integration, and enablement. It suits someone who has built AI into the daily workflow of a sales team, and who now wants a bigger canvas and real room to shape the outcome.ResponsibilitiesAI Go-to-Market StrategyResearch and propose a fully integrated AI go-to-market strategy spanning the full Matterport sales tool set, from prospecting through onboarding, expansion, and renewal, and maintain it as a living point of view rather than a one-time deliverable.Identify the white space where no tool exists today, then propose, scope, and drive the development of new capabilities to fill it.Track the AI landscape continuously — models, agentic frameworks, vendors, and pricing — and translate what changes into concrete recommendations for Matterport GTM.Bring a defensible view to Matterport and CoStar Group leadership on where AI creates real leverage in the revenue motion, and where it does not.Partner cross functionally to drive AE adoption as the primary measure of success, through onboarding, training, and in-workflow support.AI Sales AssistantOwn the roadmap, functional upgrades, and release cadence for the AI Sales Assistant, the AE-facing tool that produces pre-call briefings, account research, and pain hypotheses grounded in Matterport proof points.Set the standard for the product: usage targets, output quality thresholds, and the review cadence that holds it to them.Keep the underlying content current, including customer proof, vertical narratives, and competitive positioning, in partnership with Product Marketing.Run structured feedback loops with AEs and Sales leadership and ship improvements on a predictable cycle.Run continuous discovery — call reviews, ride-alongs, and usage analysis — and turn what you learn into a prioritized backlog with clear problem statements, success criteria, and explicit trade-offs.Define and measure ROI for the AI Sales Assistant by connecting usage, seller time savings, meeting preparation quality, pipeline creation, and conversion impact to clear business outcomes.AI BDR Agent and Outbound AutomationBuild and scale an AI BDR agent that helps AEs identify and prioritize prospects and initiate templated outreach.Own the outreach standard: sequence libraries, message templates, personalization logic, and guardrails for tone, brand, and compliance.Integrate agent workflows with ZoomInfo, Gong, Salesforce, and the broader outbound stack, including the data quality and enrichment logic that determines targeting accuracy.Establish testing discipline through message and sequence experimentation, control groups, and reporting against reply, meeting, and pipeline conversion.Define and measure ROI for outbound automation by connecting agent usage, prospecting efficiency, reply rates, meeting creation, pipeline contribution, and conversion impact to clear business outcomes.Systems, Data, and MeasurementInstrument both products. Report usage, output quality, and downstream pipeline impact to Sales and Marketing leadership on a monthly cadence.Own tooling decisions and vendor relationships in line with CoStar Group standards.Make build, buy, and partner calls on models and tooling, with written rationale covering cost, latency, data handling, and switching risk.Partner with CoStar Group IT on architecture, security review, and data governance as these capabilities scale.Cross-Functional PartnershipServe as the connection point between Sales, Sales Engineering, Marketing and Product Marketing, Revenue Operations, and CoStar Group IT.Translate seller needs into technical requirements, and technical constraints back into terms sellers and leadership can act on.Represent Matterport's AI-for-sales work in CoStar Group AI forums and contribute to group-level direction.Basic QualificationsBachelor's degree required from an accredited, not-for-profit, in-person university or college.5+ years of professional experience3+ years in product management or an engineering role, with hands-on ownership of a product or feature through discovery, definition, build, launch, and iteration.Demonstrated hands-on experience putting AI or LLM-based workflows into production, including prompt design, evaluation methodology, workflow automation, and iteration against usage data.Demonstrated AI Coding and Troubleshooting Agents: Build and run coding agents that write, test, and maintain the scripts, automations, and connectors that keep Matterport's go-to-market systems running.Track record owning adoption of a tool or process across a distributed sales team with measurable usage and business outcomes.Product judgment: able to define scope, write crisp requirements, sequence a roadmap, and decline work that does not serve the outcome.Comfort operating as an individual contributor with cross-functional influence.Strong written and verbal communication, credible with both Account Executives and technical partners.A track record of commitment to prior employers.AI and Agentic Systems DepthHands-on experience with automations: recurring and scheduled tasks, inbound webhooks, and event triggers.Familiarity with LLM APIs across cloud providers, including routers and fallback mechanisms.Experience using state-of-the-art frontier models and their open-weight counterparts, and with the risks and trade-offs of choosing between them.Able to explain the difference between training and inference, and why hardware trade-offs that make sense for one do not make sense for the other.Understanding of the major bot and integration interfaces to enterprise tools, including corporate email, Slack, and Salesforce.Familiarity with MCP (Model Context Protocol) and