Top Tech Jobs & Startup Jobs in Kansas City, MO

Manage operational execution for mid-tier AfroTech sponsorships across digital campaigns and the AfroTech Conference. Coordinate pre-conference logistics, translate SOWs into tasks, maintain trackers in Asana and Map Your Show, manage sponsor communications, and serve as primary on-site contact for exhibitors during the full conference. Contribute to process documentation and scale CS operations.

Lead Revenue Analytics by developing data-driven strategies to maximize revenue, own and improve data pipelines, run advanced experiments and causal analyses, lead cross-functional initiatives, mentor junior analysts, and embed AI tools into workflows to scale impact.

The Senior Software Engineer II will work on AI-driven solutions, developing and deploying scalable applications while mentoring engineers and collaborating with cross-functional teams.

As a Product Manager II, you will drive product strategy, manage lifecycle from discovery to launch, and leverage user data for decision-making. You'll collaborate with cross-functional teams and advocate for AI integration to enhance the customer experience while refining the product roadmap.

Lead Americas territory design end-to-end: set principles, run annual planning, manage in-year exceptions, own Red Carpet transitions, ensure governance and system alignment, partner across finance/HR/WW teams, and modernize processes and tooling to scale territory coverage.

Lead architecture and implementation of high-performance vector search and semantic retrieval across Azure data products. Mentor engineers, collaborate with research teams, ensure scalability, testability, performance, and production readiness of libraries and embeddings-based solutions.

Lead and run executive operating rhythms and the Commercial Business Overview, drive cross-organizational alignment, translate strategy into measurable execution, and improve operating models and tooling to increase transparency and follow-through.

Own product delivery for Higher Education engagements: manage backlog, write requirements and user stories, run sprint execution, coordinate with engineering/design, liaise with clients, and apply AI tools to accelerate documentation and analysis to ship production-ready AI quickly.

Lead design and scaling of backend data infrastructure for Beacon's Datastore: build event-driven pipelines, data models, and APIs; draft RFCs; integrate services; improve operational robustness, documentation, and tooling to support clinical and scientific workflows.

Lead and scale demand generation to drive pipeline and revenue across brands. Build integrated multi-channel campaigns, optimize funnel conversion and marketing efficiency, partner with Sales/SDR, and manage a Growth Marketing team focused on measurable business outcomes.

Lead a small team delivering financial operations to a portfolio of small-business clients. Own client relationships and delivery, coach associates, resolve escalations, document repeatable processes, and iterate a new team model to improve operations and client retention.

Own GTM revenue economics and forecasting: build capacity/productivity and pipeline-to-ARR models, analyze GTM unit economics (CAC, LTV, payback), partner with CRO/RevOps/Marketing, support pricing/packaging, and prepare board-level GTM analysis and scenario modeling to guide growth investments.

The Partner Solutions Engineer builds relationships with partner SEs and technical leaders, supports partner sales with technical needs, and drives partner-informed product enhancements through collaboration with key ISVs.

Serve as a technical anchor for engineering teams: define architecture and modernization strategy, drive AI-driven development (build MCP servers and AI skills), improve code quality and DevOps (CI/CD, testing, observability), mentor engineers, reduce tech debt, and align technical decisions with product goals while promoting AI governance and adoption.

Lead and grow platform, cloud, and DevSecOps teams to modernize delivery pipelines, implement CI/CD and GitOps, ensure secure, multi-cluster platform operations, align engineering strategy with business priorities, and establish an enterprise tools team supporting Linear, Notion, and ITSM.

Lead design and delivery of scalable, secure cloud data pipelines and products. Translate requirements into architecture, apply advanced data modeling (Data Vault 2.0/dimensional), embed data quality, observability, security, and DataOps/CI-CD practices, optimize performance and cost, mentor engineers, and enable AI/ML-ready datasets within an agile DevSecOps model.

Design, build, and operate scalable cloud data pipelines and platforms (Azure preferred). Implement DevSecOps, CI/CD, automated testing, monitoring, performance tuning, and production readiness. Mentor engineers, drive operational excellence, and translate requirements into robust technical designs. Apply healthcare domain knowledge and collaborate in agile teams to deliver secure, reliable data products.