Top Tech Jobs & Startup Jobs in Austin, TX

Lead public sector growth marketing strategy and execution across the US and Canada. Develop demand generation campaigns, partner with sales and channel teams, improve lead conversion and pipeline performance, monitor campaign ROI, and manage marketing budgets. The role requires B2B technology marketing experience, knowledge of government procurement, data-driven decision-making, and cross-functional alignment across sales, marketing, product, and partner organizations.

Lead enterprise network segmentation projects using Guardicore Micro Segmentation across data center and cloud environments. Responsibilities include architecture design, project planning, installation, integration, configuration, policy deployment, documentation, customization, training, optimization, and troubleshooting. The role partners with customers, Support, and Engineering teams to deliver successful implementations and improve post-sales satisfaction.

Build and scale Datadog's partner ecosystem across North America by recruiting CSPs, MSPs, SIs, and resellers; enable and activate partners via training and joint GTM; coordinate technical and marketing launches; drive partner-sourced pipeline and revenue; run partner performance reviews; serve as regional sponsor for key cloud alliances and own regional channels metrics.

Owner of end-to-end client relationships and new business origination for RIAs; manage pipeline and CRM, drive product adoption, share client feedback cross-functionally, develop growth strategies, and travel to clients and conferences (under 50%).

Upstart invites candidates to join their Product Talent Community for future job opportunities in their innovative and inclusive lending solutions. Members receive updates on roles that match their skills.

Leads Inato’s marketing organization and strategy, including account-based marketing for enterprise sponsors, integrated sales campaigns, product positioning, go-to-market execution, customer marketing, and advocacy programs. Establishes marketing goals and metrics tied to business outcomes while partnering with Sales, Product, Customer Success, Strategy, and executive leadership. Coaches and develops the marketing team, builds internal product marketing capabilities, and drives measurable pipeline creation, customer expansion, and market differentiation.

This position is an opportunity to fill a form for future job matching after the ASPLOS Conference with IMC Trading.

Manage a portfolio of enterprise accounts to drive renewals, identify upsell opportunities, host quarterly business reviews, resolve escalations, build executive relationships, and meet renewal/net retention quotas.

Own Arcadia’s revenue operating system, including Salesforce, forecasting, pricing, SKUs, quote-to-cash, KPI frameworks, sales compensation, and AI-powered reporting. Lead the evaluation and roadmap of the revenue technology stack while partnering with Sales, Marketing, Customer Success, Finance, Product, and Tech. Build scalable processes, improve forecast accuracy, analyze pipeline and sales efficiency, and drive predictable growth in a high-growth SaaS environment.

Leads a data science team focused on customer intelligence and personalization across digital products, apps, newsletters, and marketing channels. Develops lifetime value, segmentation, retention, recommendation, attribution, forecasting, and engagement models. Owns product funnel analytics and experimentation, including A/B testing and causal inference. Partners with Product, Marketing, Editorial, Data Operations, and Engineering to translate customer behavior into product improvements, measurable growth, and scalable data capabilities.

Develops and productionizes deep learning and machine learning perception models for robotics and recycling sortation. Responsibilities include experimenting with neural network architectures, designing computer vision solutions, conducting statistical experiments, deploying successful models, collaborating with data, modeling, and cloud infrastructure teams, and improving ML infrastructure.