Top Tech Jobs & Startup Jobs in Austin, TX

Leads Enveritas operations across African countries, standardizing procedures, developing operational products, optimizing costs, and managing regional teams, budgets, workflows, client deliverables, and supply-chain relationships. Oversees machine labeling and operations teams, drives adoption across diverse markets, represents the organization externally, and supports sustainability verification programs. Requires substantial multi-country operations leadership, stakeholder management, budget accountability, regional cultural fluency, and regular travel within Africa.

Own and build Palazzo’s revenue engine by personally closing mid-market and enterprise B2B SaaS deals while creating scalable sales processes, CRM reporting, messaging, collateral, and forecasting systems. The role generates qualified pipeline, manages demos and negotiations, collaborates with marketing and product, and eventually hires and coaches a small sales team.

Manage localization projects for apps, games, websites, and software. Coordinate translators, editors, and international clients; monitor deadlines, quality, and budgets; learn CAT tools, TMS platforms, and AI workflows; and support continuous improvement of AI-enhanced localization processes. This remote role includes training and mentorship toward professional localization project management.

Independent management consultants deploy the ComplexChaos AI stakeholder-alignment platform on client engagements, deliver strategic insights, change management, and stakeholder interviews, provide monthly structured feedback, test new features, document anonymized case studies, and optionally participate in co-marketing and referrals while retaining client ownership and billing clients directly.

Serve as a high-impact connector for an early-stage AI startup: introduce and nurture relationships with transformative organizations, craft partnership strategies, tell the company story persuasively, and spot emerging partners. Compensation is performance-based (revenue share and equity options).

Review and annotate Chinese text and images to train AI: draw bounding boxes, answer structured questions, write short summaries, and follow annotation guidelines. Remote, long-term contract (minimum 6 months), 30–40 hours/week, paid hourly with a short language assessment required.

Lead complex enterprise sales across named manufacturing accounts, from opportunity creation through global expansion. Build executive relationships, develop operational and financial business cases, navigate multistakeholder buying processes, manage pilots, negotiate commercial terms, and close high-value deals. Convert initial deployments into multi-site rollouts while improving account strategy, qualification, forecasting, and enterprise sales practices across the organization.

Build and ship end-to-end features for an AI neobank across frontend, backend, APIs, databases, and internal tools. Develop workflows for onboarding, payments, rewards, travel, foreign exchange, support automation, KYC, and risk. Collaborate with product, design, mobile, backend, and AI teams, while monitoring, debugging, and improving production systems.

Build and maintain backend services and APIs for a large-scale AI neobank, supporting onboarding, accounts, payments, cards, transfers, rewards, travel, foreign exchange, KYC, and risk workflows. Integrate with financial partners, payment providers, AI services, and third-party platforms. Ensure reliability, security, scalability, observability, data integrity, and effective incident handling while collaborating with product, frontend, mobile, and AI teams.

Own and grow strategic CX accounts, drive expansion and new-logo acquisition, and lead direct and partner-led sales motions. Build executive relationships, develop account and territory strategies, conduct discovery and value presentations, manage proposals and RFX responses, negotiate contracts, and close deals. Coordinate solution consultants, internal SMEs, and partners to deliver AI-enabled contact center, messaging, digital engagement, journey management, and analytics solutions across healthcare, retail, financial services, and telecommunications.

Own enterprise customer relationships from program launch through renewal. Lead onboarding, implementation, cohort launches, account cadences, business reviews, issue resolution, program health monitoring, renewals, and expansion opportunities. Coordinate cross-functionally with Product, Admissions, Program Success, Finance, and Learning teams while reporting outcomes such as completion, placement, and NPS. Build scalable processes and represent client needs internally.

Own the technical aspects of enterprise airline deals from qualification through deployment and expansion. Design integration and cloud architectures, lead demos and proofs of concept, respond to RFPs and security questionnaires, review technical contracts, and ensure customer commitments align with engineering capabilities. Build reusable technical assets, support adoption, and communicate customer requirements to product and engineering teams.

Develop and document enterprise-grade SaaS platform functionality while improving quality and performance. Responsibilities include full-stack development, functional and unit testing, defect triage, code reviews, API and process documentation, operational support in regulated environments, and collaboration within Agile and DevOps teams. The role requires expertise in C#, ASP.NET Core, T-SQL, Entity Framework Core, web technologies, software design, debugging, distributed architectures, and high-performance APIs.

Maintain and support platform environments across the software development lifecycle. Configure monitoring, alerting, and self-healing solutions; troubleshoot application and infrastructure issues with developers and testers; maintain technical documentation; design scalable architectural solutions; and mentor junior engineers. The role requires cloud, Kubernetes, operating system, database, scripting, configuration management, .NET, and AI/ML automation expertise.