Top Tech Jobs & Startup Jobs in Austin, TX

Manage accounting advisory engagements for public and pre-IPO companies, covering financial reporting, operational accounting, accounting standards implementation, complex transactions, and SEC filings. Advise clients, oversee project planning and billing, develop AI-enabled solutions, and mentor team members. Requires strong technical accounting expertise, knowledge of U.S. GAAP or IFRS, professional services experience, and willingness to travel domestically up to 30%.

Leads data transformation consulting engagements for CFOs, CIOs, and private equity-backed companies. Designs cloud data architectures, semantic layers, ERP/EPM integrations, AI platforms, governance frameworks, analytics, and automation solutions using modern technologies. Oversees client delivery, project budgets, staffing, business development, practice strategy, and team leadership while presenting recommendations to executives and mentoring consultants.

Lead Salesforce configuration across the full project lifecycle, from discovery through deployment. Serve as a technical subject matter expert for declarative capabilities, advanced Flow, scalable architecture, and best practices. Collaborate with business analysts, product owners, developers, clients, and project teams to refine requirements and deliver solutions. Mentor junior configurators, resolve technical blockers, lead client discussions, and identify compliant AI-enabled improvements.

Leads Salesforce business analysis for client implementations from discovery through deployment. Facilitates workshops, gathers and prioritizes requirements, creates user stories and process documentation, manages backlogs, supports integrations and QA, and serves as the liaison between technical and business stakeholders. The role also manages client relationships, mentors junior analysts, supports training and deliverables, escalates project risks, and responsibly adopts approved AI tools.

Leads financial due diligence and performance analytics engagements for corporate and private equity clients during transactions, integrations, divestitures, and carve-outs. Responsibilities include data extraction, modeling, visualization, forecasting, AI-enabled automation, strategic counsel, client relationship development, team leadership, mentoring, and translating complex findings into actionable recommendations. Requires transaction services, quality of earnings, working capital, cash flow, and advanced analytics experience.

Advise clients on procurement transformation, strategic sourcing, category management, Source-to-Pay optimization, and third-party spend analysis. Lead procurement assessments, sourcing events, maturity evaluations, business cases, transformation roadmaps, and client workstreams. Analyze supplier and vendor data to identify savings, risks, and improvement opportunities. Support project management, change management, stakeholder alignment, presentations, thought leadership, and responsible adoption of AI-enabled solutions.

Lead Salesforce implementation engagements: design, configure, and optimize multi-cloud solutions; manage projects, timelines, budgets, and teams; perform business analysis, solution design, testing, go-live, change management, and post‑launch support. Guide integrations, third‑party apps, and AI-enabled solutions while ensuring delivery quality and client relationship management.

Perform financial due diligence analytics for buy-side and sell-side M&A engagements, including quality of earnings, working capital, EBITDA normalization, and cash flow analysis. Build financial models, data pipelines, and visualizations using analytics technologies; automate diligence workflows; and communicate findings through reports and presentations. Manage workstreams, coordinate data requests, participate in management interviews, collaborate across functions, and coach junior staff while applying approved AI solutions.

Own AI product roadmaps for finance and enterprise functions, translating business priorities into agent requirements, user stories, and deployment plans. Lead process discovery, redesign, sprint planning, stakeholder alignment, change management, training, governance, and ROI measurement. Partner with engineers and data architects to deliver production AI solutions, present results to executive stakeholders, support client growth initiatives, and mentor delivery team members.

Build and deploy production-grade agentic AI solutions for finance and enterprise clients. Design multi-agent workflows, integrate LLMs and enterprise systems, develop APIs and containerized services, implement RAG and monitoring, and ensure audit-ready logging and controls. Collaborate directly with finance, IT, and data teams, demonstrate solutions to executives, develop reusable accelerators, create delivery methodologies, and mentor junior engineers.