Top Tech Jobs & Startup Jobs in Austin, TX

Own the full-cycle enterprise B2B software sales process, from prospecting and discovery through demos, proposals, negotiations, and closing. Build and maintain a seven-figure pipeline, self-source approximately half of opportunities, manage forecasting in HubSpot, and sell to security, operations, and executive stakeholders. The role requires early-stage go-to-market experience, strong quota performance, AI fluency, and effective collaboration with product and customer success teams.

Own pipeline, forecasting, and closed revenue for Salesforce, data, and AI solutions sold to financial institutions. Manage the full sales cycle from prospecting through close, co-sell with Salesforce partners, and quarterback solution architects and engineers through scoping and proposals. Use AI tools in sales workflows, translate technical solutions into business outcomes, and maintain executive customer relationships. The role is fully remote with travel up to approximately 30%.

Owns and maintains organizing data systems, voter-contact tools, and organizational databases. Ensures data integrity through quality assurance, audits, standardized processes, documentation, and permission management. Supports organizers by troubleshooting tools, managing data requests, providing training, and improving workflows. Writes SQL queries in BigQuery, develops reports and visualizations, supports integrations, and collaborates with engineering and analytics teams on data models and priorities.

Leads configuration management across defense and aerospace development, qualification, production, and sustainment programs. Establishes and audits hardware and software baselines, manages engineering change processes and Configuration Control Boards, maintains configuration status accounting and traceability, and supports FCA/PCA, customer, government, and regulatory audits. Administers PLM/PDM and requirements tools, coordinates cross-functional change impacts, supports release management, and serves as the senior configuration management representative for assigned programs.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Lead research on recursive self-improvement for an autonomous ML research engine. Define the RSI roadmap, design agent strategies and compute allocation, learn from prior sessions, build evaluations, and compound knowledge across tasks. Conduct rigorous experiments, track frontier agentic LLM research, and ship validated improvements into production systems. The role requires hands-on Python engineering, applied ML research, production deployment experience, and technical leadership of a small research team.

Owns and optimizes the marketing technology ecosystem across multiple business indications. Leads platform implementations, integrations, testing, deployment, support, and enhancements while improving data flows, reliability, usability, and adoption. Translates commercial and business needs into technology priorities, requirements, standards, and execution plans. Partners with IT, commercial teams, analytics, vendors, and functional leaders to manage risks, simplify complex systems, and maximize the value of marketing technology investments.

Deliver immersive learning simulations using digital avatars, portray diverse perspectives, facilitate learner debriefs, provide performance feedback and scoring, and host professional customer experiences. Requires professional acting and improv capability, native European French and English, strong communication and emotional intelligence, reliable overnight availability, and a private workspace with stable wired internet. This part-time role involves 20–30 hours weekly and a 65–85-hour paid training program.

Build and own lifecycle communication programs across onboarding, adoption, retention, and expansion. Define behavioral segments and triggers, write customer messaging, launch campaigns, measure outcomes in Mixpanel, and optimize through experimentation. Collaborate with Marketing, Product, Customer Success, and customer-facing teams. Help establish scaled digital customer success programs and pilot AI agents for personalized customer interactions.

Leads and develops the product management team while building scalable product operations. Translates product strategy into roadmaps, priorities, capacity decisions, and planning cadences. Establishes standards for specifications, QA, releases, outcome tracking, support, and escalations. Partners cross-functionally with engineering, design, go-to-market, customer success, and leadership to improve delivery predictability, communication, and team effectiveness.