Top Tech Jobs & Startup Jobs in Austin, TX

Leads quality, coaching, leadership development, performance improvement, and change management across lottery fulfillment centers. Uses analytics to identify trends, establish KPIs, improve customer experiences, and guide operational decisions. Manages project managers, oversees cross-functional initiatives, supports adoption of new processes and technologies, and ensures compliance with regulatory requirements. The role requires stakeholder influence, team leadership, complex project management, and travel to fulfillment centers nationwide.

Own the strategy, roadmap, feature definition, and lifecycle success of digital servicing platform products. Responsibilities include market and user research, product vision, backlog management, requirements definition, prioritization, KPI tracking, stakeholder collaboration, launch readiness, risk mitigation, and mentoring product managers. The role also supports product management best practices and team development.

Support and optimize People Operations processes across the employee lifecycle, including onboarding, compensation changes, leave administration, and offboarding. Improve workflows through automation and self-service solutions, partner with cross-functional teams and vendors, maintain documentation and audit-ready controls, and lead operational improvement initiatives. Analyze service trends and drive adoption of new processes and tools.

Leads brand positioning and go-to-market narratives for CPG brands. Develops advertiser-facing materials and packages editorial opportunities using audience and marketplace insights. Partners with editorial, sales, strategy, design, and research teams to enable revenue-generating programs. Manages timelines, deliverables, storytelling quality, and process improvements across brand marketing workstreams.

Build scalable systems and machine learning models that transform satellite imagery into labeled geospatial data and production computer vision products. Responsibilities include developing data and annotation pipelines, tracking lineage and versioning, deploying inference services, evaluating models, supporting cloud infrastructure, and improving labeling workflows. The role requires strong Python, cloud, containerization, CI/CD, infrastructure-as-code, production support, and deep learning expertise, with preferred experience in GCP, Vertex AI, spatial databases, and satellite imagery.

Leads merchandising and brand management across a multi-brand e-commerce portfolio. Owns assortment strategy, pricing, promotions, product content, catalog quality, margin governance, product marketing alignment, and new product development. Builds a unified, analytics-driven merchandising function; establishes operating processes and decision rights; manages product roadmaps and launches; partners with finance, sourcing, manufacturing, marketing, creative, technology, and operations to improve profitability, conversion, SKU productivity, and portfolio growth.

Manage a portfolio of logistics, warehousing, fulfillment, and last-mile delivery accounts. Build client relationships, oversee staffing plans and shift fulfillment, resolve escalations, track account health and operational metrics, prepare business reviews, and identify retention, upsell, and expansion opportunities. Partner with Sales and Operations teams to align worker supply with client demand during peak periods and new site launches.

Build and own scalable data platforms and ingestion pipelines using BigQuery, dbt, and modern ingestion tools. Design batch and CDC workflows, improve reliability and observability, implement governance and access controls, and support analytics and AI agents. Develop Python services and internal tooling, contribute to architecture and lakehouse experiments, collaborate with stakeholders, and mentor engineers. The role requires strong SQL, Python, cloud infrastructure, testing, CI/CD, and AI-assisted development experience.

Develop and enhance data analytics solutions for Internal Audit, including automated testing, continuous monitoring, dashboards, reporting, risk analysis, and anomaly detection. Partner with audit teams, data owners, and stakeholders to analyze complex data, document procedures and findings, improve audit processes, and evaluate responsible applications of AI, machine learning, and automation.

Own and scale Jellyfish’s security engineering program, including strategy, architecture, secure SDLC governance, AI security, threat modeling, vulnerability remediation, incident response, penetration testing, and bug bounty programs. The role combines hands-on software development with executive advising, cross-functional leadership, mentorship, and security risk management across SaaS infrastructure and customer-facing AI products.