Top Tech Jobs & Startup Jobs in Austin, TX

Design, develop, and maintain scalable Python applications; collaborate with cross-functional teams to deliver features; ensure performance and quality; identify and fix bugs; maintain code quality and automation; lead and mentor team members using agile practices.

Lead and grow Regions, Canada & Startups sales vertical as a player-coach. Own ARR quota, forecast accuracy, and pipeline; hire, train, and manage up to 11 AEs across US and Canada; drive Google Cloud co-sell motions and executive alignment; build Canada and Startups go-to-market from scratch; define regional org structure, comp, and quota planning.

Manages commercial equipment lease documentation and closing activities, ensuring credit conditions, due diligence, vendor records, liens, insurance, funding data, and transaction booking are complete and accurate. Coordinates with customers, vendors, sales, legal counsel, servicing teams, and internal stakeholders to resolve exceptions and meet closing timelines. Supports process improvement, onboarding, training, escalated issue resolution, risk management, and customer experience objectives.

Freelance, commission-based sales role to sell VisionCheck to medium-to-large opticians. Use existing optical industry contacts to open doors, drive demos, and close deals for a phone-based vision screening SaaS. Requires self-driven, entrepreneurial sellers comfortable with tech and impact-focused work to build local markets and increase in-store bookings.

Leads solution architecture for strategic ISV partnerships, designing scalable embedded compliance integrations using APIs, webhooks, cloud technologies, microservices, and event-driven patterns. Establishes governance, testing, monitoring, and risk frameworks; advises executive stakeholders; influences product strategy; supports pre-sales; and mentors architects. Requires expertise in global tax compliance, ERP ecosystems, enterprise integration, and regulatory technology, along with strong communication, executive presentation, and cross-functional collaboration skills.

Own the end-to-end product design process from discovery and prototyping through implementation, QA, and launch. Partner with Product and Engineering to shape strategy, solve user problems, and deliver polished, accessible experiences across web and mobile. Contribute to the design system, use AI-assisted workflows, support rapid experimentation, and identify opportunities to improve product quality for creators, brands, and shoppers.

Lead functional delivery for Workday Financials implementations serving public sector clients. Responsibilities include discovery, design, configuration, testing, deployment, post-production support, client workshops, requirements translation, issue resolution, documentation, and client communication across Financials workstreams. Mentor consultants, review deliverables, support recruiting and practice development, and contribute to expanding public sector Workday capabilities.

Leads bridge and structural transportation projects from planning through construction support. Manages scope, schedules, budgets, staffing, quality, contracts, multidisciplinary teams, and technical deliverables. Provides bridge design and structural engineering leadership, coordinates with clients and transportation agencies, mentors staff, supports proposals and business development, and grows the firm’s Massachusetts and New England bridge practice.

Partners with managers and leaders on team health, performance, growth, onboarding, employee relations, and talent practices. Builds manager enablement, learning and development, culture, listening, people programs, policies, and change-management initiatives. Advises on organization design and workforce planning while connecting people programs to business outcomes. Supports a distributed, international workforce and uses data, AI tools, and HR expertise to improve manager and employee experiences.

Leads the evaluation, design, development, and deployment of production AI/ML applications in AWS environments. Builds and optimizes machine learning models, assesses emerging technologies, presents technical recommendations, collaborates with federal clients, and mentors engineering teams. The role also supports cloud-native development, operations, security, enterprise AI adoption, and experimentation involving modern AI platforms and practices.