Top Tech Jobs & Startup Jobs in Austin, TX

Leads global BPO sales strategy and revenue growth by developing sales plans, acquiring enterprise clients, managing remote sales teams, building strategic partnerships, and achieving aggressive targets. The role requires market and competitor analysis, collaboration with marketing and operations, client relationship management, and representation at industry events and meetings.

The Senior Accounting Analyst prepares and reviews financial statements, performs reconciliations, journal entries, accruals, and variance analyses, and supports monthly, quarterly, and annual close processes. The role assists with audits, maintains internal controls, collaborates with operations and FP&A, analyzes financial metrics, supports ERP system upgrades, and identifies process automation opportunities. The position requires strong accounting knowledge, analytical ability, attention to detail, and proficiency with ERP systems and advanced Excel.

Leads BPO sales strategy, enterprise client acquisition, solution development, market expansion, and revenue growth. Builds C-suite relationships, negotiates complex outsourcing contracts, manages sales KPIs and budgets, recruits and mentors sales teams, and collaborates cross-functionally with delivery, operations, and marketing. Represents the company at industry events and drives long-term strategic partnerships.

Manage accounts receivable, accounts payable entries, journal entries, bank transactions, reconciliations, and month-end closing activities. The Accountant investigates discrepancies, maintains accurate financial records, supports internal controls and budgeting, prepares aging reports, and assists accounting team members while ensuring compliance with GAAP.

Supports end-to-end mergers and acquisitions execution through integration and separation planning, risk mitigation, diligence coordination, synergy modeling, value tracking, stakeholder facilitation, and executive reporting. The role manages multiple concurrent M&A engagements and applies financial, operational, HR, IT, and BPO expertise to drive successful post-close integration and value realization.

Designs and maintains Retrieval-Augmented Generation systems, including document ingestion, indexing, semantic and vector search, embeddings, and enterprise knowledge repositories. Integrates retrieval services with LLMs through APIs and scalable cloud-native architectures. Monitors accuracy, performance, security, governance, and data quality while troubleshooting systems and evaluating emerging retrieval technologies. Collaborates with AI engineers and product teams to deliver reliable, context-aware AI solutions.

The Executive Recruiter manages the full recruitment lifecycle for executive and leadership roles, including sourcing, talent mapping, candidate evaluation, interviews, and placement. The role partners with senior leaders and hiring managers, maintains executive talent pipelines, provides market and compensation insights, monitors recruitment metrics, and delivers a positive candidate experience across multiple regions.

Evaluates and validates AI chatbot functionality, response quality, conversational flows, compliance, and user experience. Executes test plans, regression testing, and user acceptance testing; documents defects and test outcomes; analyzes interaction trends; collaborates with AI trainers, prompt engineers, and development teams; prepares performance reports; and supports chatbot optimization and evaluation framework improvements.

Leads organization-wide prompt engineering strategy, standards, governance, and optimization. Designs advanced prompts and reusable libraries for enterprise AI applications, establishes evaluation benchmarks and quality processes, analyzes model outputs, and drives performance improvements. Partners with executives, product managers, engineers, and business stakeholders to translate requirements into AI solutions. Mentors prompt engineers, evaluates emerging AI platforms, and supports innovation and enterprise AI transformation initiatives.

Leads AI data annotation operations, managing workflows, resources, production targets, quality standards, audits, and performance metrics. Oversees annotation teams through coaching, recruitment support, onboarding, and performance management. Partners with AI engineers, trainers, product teams, and operational stakeholders to translate requirements into plans. Drives process improvement, automation, tool adoption, data integrity, and operational excellence across AI and machine learning data preparation initiatives.