Top Tech Jobs & Startup Jobs in Austin, TX

Architect and operate Realtor.com’s internal AI platform, including agentic architecture, APIs, SDKs, LLM gateways, governance, identity controls, observability, and AWS infrastructure. Manage AI tool lifecycles, access, licensing, maintenance, support, and runbooks for platforms such as Portkey, Claude, Gemini, Devin, and Glean. Establish protocols, guardrails, secure deployment standards, and scalable paved paths while partnering across engineering, Security, IT, Legal, and business teams.

Lead the vision, strategy, and roadmap for AI-native client products, internal tools, data products, and enterprise integrations. Partner with executives, engineering, and data science to evaluate models, data quality, infrastructure, cost, latency, trust, and scalability. Define AI product opportunities, business cases, data requirements, quality standards, and commercial strategies while aligning legal, privacy, trust, and safety stakeholders.

Leads product strategy and execution for Realtor.com’s News & Insights audience growth across web and mobile. Owns the activation, engagement, retention, personalization, and monetization funnel; manages roadmaps and engineering priorities; and partners with editorial, design, marketing, data, and engineering teams. Uses research, experimentation, analytics, AI, and automation to increase registered users, engagement, subscriber conversion, content reach, and revenue.

Own the strategy, development, automation, and optimization of paid search platforms and workflows across Google Ads and Microsoft Ads. Build AI-enabled capabilities for bidding, budgeting, keyword management, ad copy, landing pages, campaign structuring, and experimentation. Partner with engineering, analytics, data science, marketing, and external platforms to deliver scalable SEM infrastructure, improve measurement, and drive efficient customer acquisition.

Leads Realtor.com’s enterprise Data & Analytics organization, overseeing data engineering, governance, data science, BI, experimentation, pricing, revenue management, lead intelligence, and data commercialization. Defines data strategy and architecture, advances AI capabilities, develops pricing and predictive models, partners with executives and cross-functional teams, and scales a multidisciplinary organization. Requires deep technical expertise, executive leadership, advanced analytics experience, and strong communication skills.

Develop and optimize cross-product pricing and packaging strategies using SQL-based models, financial simulations, experimentation, competitive intelligence, and customer value analysis. Partner with Product, Sales, Finance, Marketing, and Data Science to guide monetization decisions, deal structures, governance, and revenue growth. Translate complex analytical findings into actionable recommendations and narratives for senior leadership.

Summer 2027 software engineering internship involving real-world technical projects, scalable systems, full-stack applications, and collaboration with engineering, data science, product, and UX teams. Interns participate in technical workshops, mentorship, networking, and community activities. Candidates should be pursuing a relevant bachelor's degree, graduating between December 2027 and June 2028, and available for 11 consecutive weeks. Strong foundations in AI, programming, algorithms, and system design are required.

Leads enterprise systems initiatives focused on Salesforce and customer-facing applications. Translates business needs into requirements, user stories, solution designs, implementation roadmaps, and scalable technical capabilities. Partners with Product, Engineering, QA, Sales, Customer Success, and Revenue Operations throughout discovery, development, testing, release, and adoption. Identifies opportunities for AI-enabled solutions and manages multiple strategic initiatives with executive-level communication.

Leads long-term product strategy for Realtor.com’s Client portfolio across lead-generation, branding, promotions, and brokerage software products. Defines strategic roadmaps, packaging and pricing, commercial models, business cases, success metrics, and executive communications. Aligns product, engineering, sales, marketing, GMs, and senior leadership while driving prioritization and strategic decisions without direct authority. Mentors product managers and serves as an internal strategic consultant.

Own the roadmap, backlog, and delivery of data products and an internal data marketplace. Translate stakeholder needs into prioritized requirements, partner with engineering and governance teams, launch reusable and trusted data products, and measure adoption, quality, and business impact. The role also supports AI-enabled data access, external product readiness, documentation, certification, and ongoing product operations.