Top Tech Jobs & Startup Jobs in Austin, TX

Handle end-to-end shipping insurance claims via phone, email, and live chat. Manage incoming claims, communicate with customers and carriers (UPS, FedEx), process documentation, research online, and support general customer inquiries while maintaining organized records.

Manages lender-placed insurance client relationships and delivery, leads recurring meetings, coordinates cross-functional requests and commitments, maintains project and audit trackers, monitors service performance, supports implementations and issue resolution, and analyzes operational data to recommend improvements. The role is fully remote, requires strong organization and follow-through, and involves limited travel of approximately 2–3 times annually.

Supports the Financial Controls SOX Department with SOX management testing, Model Audit Rule testing, new process implementations, external audit assistance, and related assignments. The intern works part time during the school year and may work full time during summer and school breaks while developing accounting, finance, organizational, communication, and problem-solving skills.

Lead execution of Hagerty’s enterprise insurance platform transformation across policy, billing, claims, distribution, data, integrations, and forms. Own the integrated master schedule, critical path, dependencies, capacity planning, risk management, forecasting, and delivery buffers. Integrate multiple project managers and align business, IT, engineering, and vendor efforts. Drive readiness, identify constraints, enforce trade-offs, and provide executives with data-backed delivery recommendations.

Lead and develop a team of Commercial Technical Account Managers responsible for onboarding, adoption, customer health, retention, escalations, and technical customer partnerships. Improve post-sales systems including segmentation, health scoring, QBRs, playbooks, automation, and digital-touch programs. Report retention and team performance to leadership, collaborate with Product and Engineering, and support strategic customer and company meetings.

Leads and develops an enterprise Technical Account Management team responsible for onboarding, adoption, customer health, retention, escalations, and technical partnerships. The role improves post-sales systems, including segmentation, health scoring, playbooks, QBRs, automation, and digital-touch programs. It owns retention and adoption outcomes, supports enterprise customers, communicates insights to Product and Engineering, and reports performance to leadership. The manager also supports customers directly when needed and travels for customer and company meetings.

Own post-sale success for commercial customers by leading technical onboarding, configuring integrations across CI/CD systems and developer tools, troubleshooting production issues, conducting architecture reviews, and driving product adoption. The role manages customer relationships, QBRs, success plans, workshops, and technical support while partnering with Sales, Product, and Engineering to resolve issues and improve scalable customer-success programs.

Develops OEM business across machine builder and electrical panel builder markets. Builds customer and partner relationships, drives product specification and standardization, identifies growth opportunities, delivers technical training and demonstrations, gathers market intelligence, and collaborates with sales, marketing, product management, and distributors to increase ABB Installation Products adoption and sales. The role is remote within the territory and requires approximately 50% travel.

Manage and grow strategic industrial automation accounts in the Greater Houston area by developing account plans, coordinating sales activities, tracking projects, resolving customer issues, and engaging senior executives to drive profitability and share-of-wallet growth.

Own the full sales cycle for state-level law enforcement customers across the Northeast. Responsibilities include prospecting, qualifying, presenting, demonstrating, negotiating, and closing complex SaaS opportunities; managing senior customer relationships; collaborating with deployment, marketing, legal, and operations teams; supporting onboarding; and developing go-to-market best practices. The role requires strong enterprise software sales experience, public safety or law enforcement knowledge, grant familiarity, and a record of exceeding quota.

Own enterprise software sales across Indiana and Michigan, focusing on law enforcement and public-sector accounts. Responsibilities include territory development, product demonstrations, pipeline cultivation, relationship building with agency stakeholders, solution-based selling, negotiation, deal closure, and cross-functional collaboration through onboarding. The role requires exceeding quotas, managing complex multi-threaded sales processes, and leveraging existing public-sector and law enforcement relationships.

Own frontend domains end to end, including architecture, implementation, testing, production quality, performance, accessibility, and security. Set technical direction, design reusable component systems, establish testing strategies, diagnose complex browser and production issues, and partner with Product, Design, QA, and engineering teams. Mentor engineers, review consequential changes, and use AI-first development practices while maintaining accountability for shipped software.

Leads frontend architecture strategy across products, directs design-system platform development, establishes quality, security, accessibility, performance, and testing standards, and creates tooling and guardrails for engineering teams. Sets AI-native frontend practices, improves production health, aligns Engineering, Product, Design, and QA, and develops senior engineers into broader technical ownership. The role remains hands-on for high-risk technical work while emphasizing organizational-scale technical direction.

Manage assigned client accounts for absence-management services by building customer relationships, addressing concerns, supporting implementation and post-implementation needs, and serving as a trusted advisor. The role coordinates with internal teams, resolves service issues, supports complex accounts, and identifies opportunities to retain, grow, and expand business. Candidates need customer relationship experience, Microsoft Office proficiency, reliable remote-work capabilities, and willingness to travel up to 25%.

Provides L1 technical support for enterprise customers using cloud email and SaaS security platforms. Resolves configuration, API, integration, false-positive, and threat investigation issues through troubleshooting and log analysis. Communicates root causes and recommendations, partners with Engineering and Product, supports onboarding, maintains knowledge documentation, and identifies recurring customer issues. Requires 4+ years of cybersecurity, SaaS, or enterprise technical support experience, strong email security and cloud ecosystem knowledge, API troubleshooting skills, and excellent communication.

Own enterprise net-new customer acquisition and full-cycle sales, closing high-value B2B SaaS deals from prospecting through contract execution. Build pipeline through outbound, inbound, referrals, SDRs, and channel partners; engage C-level security and IT buyers; collaborate with legal, product, engineering, solution engineers, and GRC specialists; provide accurate forecasts; consistently achieve quota; and help refine the enterprise go-to-market playbook.

Owns visit delivery, SLA attainment, clinician cost, roster health, and operational performance for assigned telehealth marketplace programs. Responsibilities include staffing strategy, data analysis, incentive deployment, real-time escalation playbooks, AI-agent oversight, client launches, program configuration, and cross-functional partnership. The role also supports client reviews, supply readiness, program expansions, and continuous improvement across Marketplace Operations.

Lead design and implementation of a production-grade LLM inference platform: deploy and serve models on GPU infrastructure, optimize latency and cost with quantization/batching/caching/routing, build infrastructure in Python or Golang, operate serving frameworks (vLLM, SGLang, TensorRT-LLM), and own the inference roadmap working with CTO and Product.