Top Remote Senior Level Jobs in Tulsa, OK

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

Lead brand voice and messaging consistency across press, blog, and marketing materials. Ghostwrite for executives, edit internal/external content, develop thought leadership, optimize for SEO, manage editorial calendars, run content audits, use analytics to track performance, and produce white papers.

Manage tax planning, compliance, and reporting across a multi-entity organization. Serve as primary tax authority, coordinate with external advisors, oversee partnership and indirect tax compliance, maintain filing calendar, handle information reporting (1099/1042), support international tax matters, liaise with government authorities, and improve tax processes and controls.

Establishes and owns Bloom’s production support and incident response function. Responsibilities include implementing monitoring, supporting major incidents, coordinating responders and vendors, overseeing root cause analysis, tracking preventive actions, automating repetitive support tasks with Python or Bash, maintaining documentation, and measuring incident response effectiveness. The role also supports client-facing Operations teams with onboarding, offboarding, sandbox resets, and other technical support needs while partnering with product and engineering teams to reduce support overhead.

Leads complex recognition technology deployments from planning through go-live, serving as the technical design and project management owner. Responsibilities include developing project plans, managing budgets, schedules, risks, integrators, customers, site audits, technical architectures, quality gates, and support handoffs. The role also improves deployment processes, translates customer requirements into scalable designs, and supports regional business development.

Lead Known’s channel and strategic partnership ecosystem for DNSid, focusing on cloud providers, identity and trust platforms, GSIs, and technology partners. Develop partnership strategy, commercial models, joint go-to-market motions, integrations, and enterprise adoption programs. Lead GSI implementation and Customer Success teams, build executive relationships, establish reference architectures, and convert early deployments into repeatable partner-led growth. The role is a remote U.S. contract-to-hire opportunity.

Lead client-facing analytics consulting engagements, implementing Google Analytics and tag management solutions with minimal oversight. Analyze client data, develop technical strategies, connect marketing platforms, manage project tasks in Asana, communicate with clients, and support consultant mentoring and training. The role requires strong implementation expertise, data visualization skills, project management experience, and familiarity with analytics, customer data, mobile, consent management, and cloud platforms.

Lead strategic alliances for PagerDuty’s enterprise and public sector business. Develop partner strategies, establish relationships with distributors, contractors, and system integrators, and execute joint go-to-market initiatives. Enable sales teams, monitor alliance performance, analyze public sector trends, represent PagerDuty at industry events, and collaborate with sales, marketing, product, and legal teams to drive adoption and revenue growth.

Leads customer discovery, requirements workshops, stakeholder interviews, process analysis, and solution design for M-Files implementations. Defines integrations, technical architectures, acceptance criteria, documentation, testing, deployment, migration, and training. Partners with project management, product, and R&D teams; identifies AI and automation opportunities using Claude; mentors consultants; supports presales and manages multiple customer engagements.

Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.