Top Tech Jobs & Startup Jobs

Leads end-to-end customer contracting, including drafting, redlining, and negotiating MSAs, SOWs, order forms, amendments, and NDAs. Manages vendor onboarding, due diligence, security questionnaires, RFP/RFI responses, contract governance, approvals, and obligation tracking. Partners with Legal, Sales, Product, Engineering, and Delivery teams while advising on commercial operations tools and prioritizing contracting workstreams.

Lead and grow the QA team while owning quality strategy for an enterprise AI platform. Build hands-on automation for APIs, backend services, data pipelines, and applications; integrate testing into CI/CD; and develop evaluation frameworks for LLM accuracy, consistency, regressions, and reliability. Define release criteria, mentor engineers, translate customer issues into preventive tests, and collaborate across engineering, product, and customer deployment teams.

Develop research methods for autonomous systems that model changing environments, estimate state, reason under uncertainty, plan, control, adapt, and evaluate outcomes. Apply optimization, control theory, probabilistic reasoning, and reinforcement learning to create algorithms, prototypes, benchmarks, and product architectures. Collaborate with research, engineering, and product teams to transfer mathematical methodologies into real-world intelligent systems.

Architect and improve enterprise SaaS platform availability, resilience, scalability, performance, and cost efficiency. Define measurable production-readiness, capacity, recovery, and performance requirements; design failover and recovery mechanisms; eliminate bottlenecks and single points of failure; lead testing and remediation; optimize AI model usage and infrastructure economics; and drive architecture execution across Engineering, Cloud Infrastructure, DevOps, QA, and AI teams.

Owns tax accuracy, quality, and performance for AI-powered Sales and Use Tax products. Translates complex indirect tax requirements into product specifications, testing frameworks, quality standards, and roadmap priorities. Partners with product, engineering, QA, and customer-facing teams to launch capabilities, analyze failures, address tax risks, and improve customer outcomes. Requires deep multistate sales and use tax expertise, strong analytical judgment, and cross-functional communication skills.

Lead client-facing strategic delivery for enterprise AI initiatives. Responsibilities include understanding customer priorities, facilitating workshops, defining AI use cases, developing deployment roadmaps, evaluating value and feasibility, tracking KPIs, aligning stakeholders, coordinating technical execution, supporting adoption and change management, and translating customer feedback into product improvements.

Lead enterprise AI transformation strategy and value realization across finance, tax, risk, governance, and compliance functions. Conduct discovery, define deployment roadmaps, prioritize use cases, establish KPIs, engage executive stakeholders, align initiatives with control frameworks, and guide deployment engineers during rollout. Translate complex regulated workflows into responsible, scalable AI implementations and contribute insights to product and engineering teams. Travel may be required for customer engagements and workshops.

Lead the security architecture and implementation for an enterprise AI platform: secure cloud infrastructure, data protection, IAM, tenant isolation, and GenAI workflows. Embed security into CI/CD, IaC, containers, secrets management, and operations. Design secure customer deployment patterns, support enterprise security reviews, and partner on compliance (SOC 2, ISO 27001, SSPA) while personally implementing critical security capabilities and guiding cross-functional engineering teams.

Lead product strategy and execution for AI-powered enterprise products. Drive development from zero to one and establish product processes.

The Senior GenAI Engineer will design, develop, and deploy scalable GenAI applications using Python and cloud technologies, primarily on Azure. Responsibilities include leading GenAI development, optimizing large language models, and mentoring junior developers.