Top Tech Jobs & Startup Jobs in Austin, TX

Supports OnePay’s second-line compliance control environment through control framework maintenance, risk assessments, risk-based monitoring, data quality reviews, process improvements, and product compliance oversight. Partners with cross-functional teams on regulatory, operational, and third-party changes; provides advisory challenge; evaluates control impacts; and prepares leadership and governance reporting. The role also applies analytics, automation, and AI-enabled tools to improve monitoring efficiency and coverage.

Assists with designing, implementing, debugging, and maintaining software code. Participates in code reviews, QA efforts, documentation, Agile ceremonies, and collaborative problem-solving while developing foundational software engineering skills.

Leads and develops seven Account Executives selling privacy-focused healthcare technology to provider organizations. Owns team revenue targets, pipeline generation, forecast accuracy, deal strategy, negotiations, win rates, sales methodology adoption, and talent development. The role is a hands-on player-coach position requiring direct involvement in strategic deals, executive engagement, complex B2B sales, and repeatable go-to-market strategies.

Leads and develops Experience Cloud Specialist teams supporting government customers with platform adoption, migrations, upgrades, renewals, and expansions. Establishes sales operating models, coaching programs, forecasting, pipeline governance, enablement, and cross-functional processes. Partners with Sales, Customer Success, Product, Finance, Legal, and executives to advance strategic opportunities, improve customer outcomes, and achieve revenue objectives. Oversees complex customer engagements, AI-enabled workflow improvements, commercial execution, and team performance.

Reviews and edits technical deliverables for a DoD cybersecurity risk management program. Ensures quality, accuracy, version control, repository submission, and on-time delivery of contract products. Coordinates with task leads, project managers, and stakeholders; maintains templates and monthly status reports; supports technical briefings and governance materials. The position is remote within the United States and requires a current DoD Secret clearance, U.S. citizenship, and occasional travel.

Administer the technical training program’s LMS, including user access, curricula, content, automated assignments, scheduling, attendance, records, compliance tracking, audits, onboarding, and reporting. Coordinate instructor-led, virtual, vendor, and site training across 24x7 operations. Maintain accurate certifications and training records, produce dashboards and audit evidence, troubleshoot learner issues, and support instructional designers, operations leaders, HR, and EHS.

Own GTM strategic planning across territory design, segmentation, target setting, and capacity planning. Build planning data systems using HubSpot, BigQuery, Hex, and Hightouch; translate company priorities into field execution; define performance metrics; lead planning tooling and process improvements; and collaborate with Sales, Success, Marketing, Finance, Partnerships, Product, Talent Acquisition, and GTM Engineering. The role requires strong SQL skills, product-led growth knowledge, and experience with revenue operations or sales strategy in B2B SaaS.

Leads aerospace and defense business development, identifying government funding and shaping requirements before solicitations. Builds relationships with defense agencies, labs, congressional staff, and prime contractors; selects rapid contracting pathways; leads capture, proposals, pricing, and IP strategy; transitions prototypes into production and programs of record; forecasts pipeline and closes high-value government orders. Requires strong defense contracting knowledge, government networks, proposal-writing ability, technical aptitude, and approximately 50% travel.

Designs, develops, deploys, and supports complex enterprise data pipelines, data models, ETL/ELT processes, and analytical solutions. Leads data governance engineering initiatives involving metadata catalogs, lineage, data quality, and remediation. Builds governed, AI-ready datasets and integrates AI capabilities into production data workflows while validating performance, security, privacy, and reliability. Collaborates with business, technology, data science, and application teams to deliver scalable, compliant solutions.

Build and deploy production machine learning systems for personalized recommendations, fraud detection, risk scoring, ranking, classification, and anomaly detection. Own the full ML lifecycle, including mathematical formulation, feature engineering, training, evaluation, A/B testing, deployment, monitoring, and reliability. Develop low-latency real-time inference services using large-scale donor and transaction data, collaborate with Platform and DevOps teams, and mentor engineers on ML best practices and scientific rigor.