Top Remote Senior Level Jobs in Oklahoma City, OK

Leads GitLab’s Product Data Science team, setting its strategy, roadmap, analytical standards, and priorities. Partners with Product and Engineering leaders on experimentation, causal inference, analytics, and production modeling. Manages, hires, coaches, and retains data scientists while building a high-performing function. Provides hands-on technical review of models, analyses, and queries, and communicates insights and risks to senior leaders.

Manage Huntress’s national CDW reseller partnership across the United States. Develop partner growth plans, build executive and seller relationships, enable CDW teams, coordinate co-marketing and sales programs, oversee opportunity registration, track performance, and drive pipeline and revenue. The role requires cybersecurity channel expertise, strong CDW ecosystem knowledge, national relationship management, and willingness to travel.

Analyze sophisticated ICS and critical-infrastructure malware, software, and firmware through advanced reverse engineering and deobfuscation. Develop YARA signatures and novel threat detections, assess operational impact, produce customer-facing technical reports, and improve malware analysis pipelines. Collaborate with detection engineers, threat hunters, and intelligence analysts while advising on complex malware analysis and detection challenges.

Manage end-to-end RFP, RFI, proposal, security assessment, compliance questionnaire, and due diligence responses. Coordinate cross-functional contributors, establish timelines, consolidate reviews, tailor content, ensure quality and compliance, and manage final submissions. Maintain proposal libraries and tracking systems while improving workflows, content reuse, and response efficiency through approved AI and productivity tools.

Sell SentiLink’s identity verification and fraud prevention solutions to Big Tech and Fortune 50 companies. Own the full enterprise sales cycle, from prospecting and executive engagement through analytical business cases, negotiations, and closing. Build strategic relationships, navigate complex organizations, coordinate internal resources, and support customers after closing. The role requires extensive strategic-account sales experience, complex technical solution selling, and familiarity with fraud, identity, or risk-management solutions.

Own Babylist’s SEO, AEO, and GEO strategy across traditional search and AI-powered platforms. Lead the organic search roadmap, technical SEO, content standards, measurement, AI-driven systems, brand search attribution, and agentic commerce initiatives. Partner with Marketing, Engineering, Editorial, Merchandising, and Partnerships to increase visibility, citations, registry signups, and revenue.

Leads and develops a team of Sales Engineers while participating in enterprise technical sales, API integration discussions, solution presentations, and merchant onboarding. Builds, tests, and troubleshoots integrations; coaches teams on AI development tools; collaborates with Engineering, Product, and Revenue; translates merchant challenges into product improvements; and maintains relationships with technical and business stakeholders.

Build and ship a full-stack data collection and search platform for defense and intelligence users. Develop frontend, backend, data ingestion, storage, indexing, APIs, and agentic AI capabilities using TypeScript, React, Tailwind, Node.js, PostgreSQL, and AWS. Partner with mission owners, customers, designers, and engineers to translate intelligence workflows into intuitive, mission-ready products supporting information analysis and visualization.

Own strategic relationships with enterprise clients using Zeta’s marketing technology platform. Develop loyalty and lifecycle marketing strategies, analyze campaign performance, guide platform adoption, lead business reviews, and identify retention and growth opportunities. Collaborate with analytics, operations, and commercial teams while translating marketing data into actionable recommendations and managing multiple client priorities.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.