Top Tech Jobs & Startup Jobs in Austin, TX

Oversee litigation operations across multiple states by supervising and developing Team Leads, implementing standardized SOPs, monitoring case workflows and deadlines, coordinating cross-state initiatives, delivering training, and analyzing Filevine and BigQuery performance data. The role ensures consistent litigation execution, balanced caseloads, compliance with court procedures and statutes of limitations, timely phase progression, and accountability across distributed litigation teams.

Owns IT systems administration and security operations for a fully remote workforce. Responsibilities include managing Microsoft 365 and Google Workspace, endpoint and identity platforms, security tools, access controls, threat monitoring, incident response, vulnerability management, compliance evidence, disaster recovery, vendor relationships, reporting, and operational roadmaps.

Performs litigation ethics and compliance work for a national personal injury law firm. Responsibilities include researching legal and ethical issues, drafting compliance SOPs and agreements, evaluating conflicts, auditing case handling, monitoring case metrics, and advising attorneys and staff. The role requires collaboration with the General Counsel and firm stakeholders in a fast-paced remote environment.

Own product strategy, roadmap, prioritization, KPIs, discovery, and UX for core systems supporting a nationally scaling personal injury law firm. Lead development of an AI-enabled intake engine, case management platform, and client portal. Partner with engineering, design, data, marketing, operations, and leadership while prototyping solutions, navigating architecture and APIs, and delivering measurable business outcomes.

Own and govern the organization’s central Knowledge Center, including information architecture, taxonomy, version control, audits, and content updates. Create and standardize job aids, SOPs, FAQs, process maps, and policy summaries. Triage documentation requests, coordinate with subject matter experts and learning teams, communicate process changes, identify knowledge gaps, and ensure resources are accurate, accessible, compliant, and actionable.

Designs and delivers onboarding and ongoing training for case managers, paralegals, pre-litigation attorneys, and attorneys. Builds role-specific curricula, assessments, certifications, job aids, and quick-reference materials; partners with legal subject-matter experts; supports case teams when needed; and measures ramp time, quality, case velocity, compliance, and training effectiveness in a fast-changing remote environment.

Lead the firm’s analytics strategy, roadmap, and growing analyst team. Partner with executives and law firm operations leaders to define KPIs, evaluate performance, identify bottlenecks, build forecasting and predictive capabilities, and translate data into business actions. Guide SQL, Python/R, statistical modeling, visualization, data quality, and analytics infrastructure standards while partnering with technology and data engineering teams to embed insights into operational workflows.

Build and manage Braze-based lifecycle marketing journeys across the client case lifecycle. Configure segments, triggers, data feeds, and multichannel communications; coordinate with data, engineering, compliance, and analytics teams; conduct QA and compliance reviews; monitor retention, NPS, referrals, and campaign performance; and optimize engagement programs at scale.

Supervise the claims verification team, overseeing workload distribution, training, quality audits, escalations, compliance, and performance reporting. Monitor accuracy, turnaround times, denials, and productivity while identifying workflow improvements and enforcing internal controls to reduce fraud, waste, and abuse. Collaborate with billing, underwriting, compliance, and legal teams, stay current on payer requirements, and present performance findings to senior management.

Own end-to-end data engineering for a business domain, including API and other-source ingestion, dbt models, orchestration, data-quality testing, monitoring, documentation, and performance. Build reliable, AI-ready single sources of truth and ensure data freshness, accuracy, traceability, and scalability. Collaborate with stakeholders and the Director of Data, establish engineering patterns, review work, and mentor other engineers.