Top Tech Jobs & Startup Jobs in Austin, TX

Build full-funnel reporting connecting marketing activity to sales opportunities and revenue. Define attribution and shared metrics, improve lead scoring and Salesforce workflows, measure campaign ROI, and create executive dashboards in BI tools. Analyze data to uncover insights and support forecasting across marketing, sales, customer success, and revenue operations. The role requires strong analytical, marketing, stakeholder management, and SaaS experience, with curiosity about AI.

Builds AI and LLM observability capabilities across data ingestion, infrastructure, analysis, and product visualizations. The role develops systems surfacing cost, token usage, errors, and anomalies; contributes to data models; collaborates with product and design; and ships customer-facing SaaS features. Engineers participate in on-call rotation, experimentation, and fast feedback cycles, with opportunities to work on production LLM and agent-powered features.

Build and own end-to-end AI observability capabilities, including data ingestion, infrastructure, data models, and product visualizations. Develop systems that surface cost, token usage, errors, and anomalies across AI agents. Collaborate with product and design, ship customer-facing SaaS features, guide best practices, and iterate through experimentation. Participate in an on-call rotation after approximately 90 days.

Lead the delivery of AI-powered workflows across go-to-market, support, and business operations. Partner with business leaders to identify opportunities, build production systems with evaluation and monitoring, establish reusable AI infrastructure and governance patterns, and drive adoption through documentation, training, and enablement. Collaborate with Data, Engineering, Security, IT, and Legal on scalable, safe AI deployment, data handling, access controls, and compliance.

Executive engineering leader responsible for shaping product and technology strategy, aligning the executive team, communicating direction across a distributed organization, and leading engineering managers, directors, and individual contributors through rapid AI-driven change. The role requires technical credibility, strategic judgment, strong written and verbal communication, and experience scaling distributed engineering organizations while maintaining performance and culture.

Lead the engineering team responsible for Honeycomb Private Cloud, including infrastructure, tooling, operational processes, customer deployments, and enterprise support. Partner across engineering, sales, field engineering, and support; prioritize roadmap tradeoffs; maintain operational health; and grow the team through hiring and onboarding. The role requires technical leadership across Kubernetes and AWS, customer-facing collaboration, production on-call experience, and software delivery in private cloud, on-premises, BYOC, or managed single-tenant environments.

Lead outbound sales development for high-potential enterprise accounts, partnering with Account Executives to generate qualified pipeline. Design and optimize multichannel cadences, conduct account research and discovery, maintain CRM and territory data, run messaging experiments, and use analytics to prioritize activity. Mentor junior SDRs, share competitive insights, and influence go-to-market strategy while consistently exceeding SQL quotas.

Own full-cycle recruiting for technical and R&D roles, managing priority requisitions from intake through offer acceptance. Advise hiring managers on search strategy, leveling, compensation, and funnel data; build structured interview processes; maintain ATS data and hiring SLAs; improve diversity sourcing, candidate experience, and recruiting operations. Partner with R&D leadership and the Head of Talent Acquisition in a fully remote, high-growth technology environment.

Drive new business with global enterprise customers by managing full-cycle sales, developing executive relationships, creating account strategies, and closing complex multimillion-dollar deals. The role requires consultative selling, MEDDPICC qualification, multi-threaded campaigns, strategic account planning, accurate forecasting, and collaboration with Sales Engineering, Marketing, Customer Success, and leadership. The position is fully remote and focused on observability software, cloud infrastructure, and developer tooling markets.

Own complex enterprise SaaS sales cycles with Fortune 1000 and Global 2000 companies. Build multi-threaded relationships across technical, executive, and procurement stakeholders; conduct consultative discovery; collaborate with Solutions Architects, Product, and Customer Success; grow pipeline; forecast accurately; exceed quotas; and represent Honeycomb at industry events. The role requires landing large multi-year deals and navigating complex enterprise buying committees.