Top Tech Jobs & Startup Jobs in Austin, TX

Advise enterprise and high-risk customers on fraud prevention, AML, risk assessment, detection framework development, and rule optimization. Analyze fraud trends and emerging threats using data analytics and machine learning insights. Collaborate cross-functionally to improve fraud solutions, lead customer and internal training, mentor junior consultants, support customer success, and represent the company at industry events and forums.

Leads MongoDB’s brand creative design team, setting creative direction, managing designers, and stewarding visual brand systems across campaigns, events, digital, and environmental design. Oversees AI and generative design adoption, brand enablement, agencies, budgets, timelines, and cross-functional partnerships. The role remains hands-on with concepts and key deliverables while presenting creative rationale to senior stakeholders and maintaining high standards for brand consistency and execution.

Owns the full B2B sales cycle for Future Mobility solutions across a regional territory, from prospecting and relationship development through negotiation and close. Builds enterprise relationships with real estate and asset management partners, develops customized proposals, manages complex deals, and meets sales quotas. The role collaborates on financial modeling, marketing, operations, and legal alignment while tracking pipeline performance in CRM. Regional travel and four days per week in the office are required.

Source and engage passive candidates for sales, marketing, GTM, and corporate roles. Responsibilities include Boolean and X-ray searches, outbound recruiting campaigns, candidate communication, talent mapping, hiring-manager partnership, labor-market reporting, pipeline development, conversion tracking, and ATS data management. The role emphasizes high-volume sourcing, candidate experience, recruiting metrics, and building immediate and future talent pipelines.

Sell identity verification and fraud detection solutions to federal agencies. The role owns prospecting, relationship development, complex sales cycles, analytical business cases, procurement navigation, contract closing, and post-sale partner success. Candidates should have at least five years of sales or business development experience, federal government or Department of Defense sales experience, and a record of selling complex technical products through top-down sales motions.

Provide first-level B2B SaaS customer support through phone, chat, and email. Troubleshoot dealership and product issues, manage high-volume cases, maintain accurate ticket records, meet SLAs and KPIs, and improve support documentation and processes. Collaborate with Product and Engineering to resolve issues and advocate for customer needs. The role requires strong communication, empathy, organization, analytical problem-solving, and technical product troubleshooting skills.

Leads Zynga’s distributed Core Services engineering team, overseeing project scoping, delivery, technical standards, architecture reviews, process improvement, service maintenance, and team morale and career development. The role requires managing engineers while providing technical mentorship on large-scale backend services, microservice architecture, APIs, AWS infrastructure, Kubernetes deployments, and infrastructure-as-code.

Acquire new small-business accounts through prospecting, cold calling, networking, and lead generation. Identify customer needs, recommend wireless products and services, negotiate and close deals, manage the sales funnel, report forecasts, and grow an assigned territory’s customer base while meeting or exceeding sales targets.

Build and maintain Python backend services and REST APIs for Self Financial’s credit card products. Work with Flask, FastAPI, relational databases, third-party integrations, testing, security, monitoring, and scalable distributed systems. Collaborate with product, design, frontend, QA, and engineering teams to deliver reliable software, participate in code reviews, troubleshoot issues, document systems, and contribute to continuous improvement.

Supports venture capital clients by ingesting, transforming, mapping, and verifying portfolio financial data from Excel, PDFs, CSVs, and other sources. Improves AI agent workflows, prompt design, and automation protocols while collaborating with Customer Success, Product Support, engineering, product, and operations. Provides customer support and helps scale accurate, efficient data-processing workflows.