Top Remote Jobs in Madison, WI

Own regional capture supply for an embodied AI data platform by selecting target markets, building partner pipelines, negotiating commercial agreements, setting capacity plans, and managing partners through ramp-up. The role requires developing a regional playbook from scratch, securing high-volume capture partners, monitoring quality and output, growing successful relationships, reporting market insights, and traveling regularly across the region.

Own B2B customer accounts from onboarding through retention and expansion. Monitor account health, resolve issues, handle objections, prevent churn, increase customer spend, and build long-term relationships. Maintain accurate CRM records, gather testimonials, and generate referrals. The role manages a book of business involving real estate investors and roofing companies, with responsibility for retention, expansion revenue, and customer goodwill.

Build four documented Python and Jupyter cookbook recipes demonstrating Arango use cases, including LLM, RAG, embeddings, vector search, and graph database applications. Select use cases, explain business value, develop working code, incorporate engineer feedback, and publish contributions to GitHub. Collaborate remotely with a distributed product and engineering team.

Create, solve, review, and validate coding-heavy machine learning tasks for AI training. Build and optimize models, training and inference workflows, data pipelines, evaluation systems, and reproducible Python workflows. Diagnose numerical and system-level failures, improve memory use and throughput, and verify technical correctness while working with coding agents.

Generate qualified leads and new business opportunities through cold calling, outbound outreach, prospecting, and relationship building. Research target markets, initiate and follow up with prospects, qualify leads, arrange client meetings, maintain an outreach pipeline, and support conversion of qualified opportunities into engagements. The role requires familiarity with AML, compliance, risk management, financial services, or related fields, along with strong communication and client-facing skills.

Own a greenfield enterprise territory from prospecting through close and account expansion. Build primarily self-sourced pipeline, navigate complex 9+ month sales cycles, engage executive stakeholders, develop account plans, and position Gong as a strategic revenue platform. Partner with SDR, Sales Engineering, and Customer Success teams while managing land-and-expand relationships. The role is fully remote in the U.S. with up to 20% customer travel.

Leads corporate planning, forecasting, unit economics, scenario analysis, and strategic financial guidance across the enterprise. Partners with executives and functional leaders to optimize resource allocation, acquisition economics, attorney marketplace performance, AI cost of sales, pricing, and cash flow. Oversees operating reviews, multi-year projections, board and investor reporting, and a four-person finance team while driving AI-enabled improvements to forecasting and analytics.

Reviews AI-generated legal and regulatory content for accuracy, completeness, legal reasoning, and jurisdictional relevance. Conducts authoritative legal research, verifies laws and regulatory guidance, identifies errors and unsupported conclusions, and documents structured feedback. Requires expertise in Mainland China or Spain legal systems, strong written English, independent work, attention to detail, and compliance with geographic eligibility requirements. This is a fully remote, freelance project involving approximately 36 hours of work.

Provides practical legal advice on domestic and international employment matters, including employee relations, compliance, investigations, accommodations, wage and hour issues, terminations, agreements, policies, claims, audits, litigation, and immigration initiatives. Partners with HR, leadership, and cross-functional teams to manage risk and support business growth.

Lead application and infrastructure security for LiteLLM, focusing on Python code reviews, vulnerability remediation, threat modeling, secure development tooling, CI/CD and supply-chain security, cloud and IT controls, incident response, and LLM-specific attack testing. Partner closely with engineers to strengthen authentication, authorization, tenant isolation, secrets management, deployment security, monitoring, vulnerability management, and disclosure processes.