Top Tech Jobs & Startup Jobs in Austin, TX

Own the architecture, implementation, operation, and documentation of Legal AI platforms and integrations across CLM, CRM, workflow, identity, and collaboration systems. Build governed AI plugins, agents, automations, evaluation controls, security mechanisms, observability, CI/CD workflows, and reliable data contracts. Translate legal and compliance requirements into auditable technical controls while preserving human review. Partner with Legal, IT, Security, and business stakeholders to deliver durable production systems, improve self-service contracting, support reporting, and mentor technical collaborators.

Leads a remote-first team of SDETs responsible for quality strategy, test automation, CI stability, defect prevention, release readiness, and reliability across SaaS and customer-managed products. Establishes quality metrics, optimizes testing pipelines, performs failure and root-cause analysis, partners with product and engineering leaders, and mentors test engineers developing AI-enabled and agentic workflows. The role may include on-call or off-hours responsibilities.

Lead product strategy and execution for Cribl’s Core Search platform, including Federated, Metric, and Lakehouse search. Gather customer and partner feedback, prioritize features and defects, manage backlogs and roadmaps, negotiate engineering priorities, and track product metrics. Collaborate with marketing, sales, customer success, and solutions engineering to develop enablement, messaging, training, and launches. Translate technical requirements into actionable plans while managing complex data integrations and multiple priorities.

Review, draft, and negotiate SaaS, partnership, reseller, data privacy, security, and vendor contracts. Advise sales, partner channel, procurement, and cross-functional teams on legal risks and solutions. Improve contract templates, playbooks, and legal processes; document obligations using contract management tools; train business teams on legal best practices and regulatory developments. Collaborate across privacy, security, compliance, and product functions in a global remote environment.

Design, prototype, and productionize Generative AI and LLM features across backend and frontend. Integrate ML models, fine-tune, perform prompt engineering, operate inference platforms, and support AI-based product launches while participating in on-call duties.

Qualify and develop inbound and outbound leads, schedule sales-ready meetings, research target accounts, run cold outreach campaigns, maintain Salesforce, and meet meeting quotas while collaborating with sales and marketing. Occasional travel required.

Drive territory sales by developing a business plan, owning the full sales cycle from lead generation to close, articulating value to technical and executive stakeholders, forecasting and hitting targets, creating demand in-market, and expanding accounts through channel and direct motions.

Lead and mentor a remote engineering team building high-scale, distributed data streaming systems for a SaaS telemetry platform. Drive technical excellence, participate in design and code reviews, manage project delivery, collaborate with product and operations, hire and grow talent, and support on-call/standby duties while ensuring customer-focused solutions.

Lead AI-native telemetry product strategy and roadmap, partner cross-functionally with engineering, sales, and field teams, use product and usage data to inform decisions, drive integrations with cloud and enterprise data tools, engage customers for adoption, and deliver high-value AI experiences across cloud, on‑prem, and hybrid environments.

Develop and maintain backend features for Cribl Edge data collection agents running across Windows, Linux, and macOS. Design scalable, reliable software for hundreds of thousands of nodes, collaborate with product and UX teams, write automated tests, troubleshoot production issues, and support SaaS products through on-call rotations. The role requires TypeScript and Node.js development, cloud and container experience, operating-system knowledge, and experience with data-intensive applications or stream processing.