Top Tech Jobs & Startup Jobs in Des Moines, IA

Leads Enterprise Customer Success for Toast’s largest global customers, owning retention, expansion, revenue outcomes, customer health, and escalations. Builds and coaches managers and CSMs, designs scalable international coverage models, establishes operating cadences, and develops executive relationships with complex enterprise accounts. Partners with Sales, Care, Onboarding, and Product while using data for health scoring, risk forecasting, capacity planning, and performance management.

Leads the payments and banking product roadmap for a regulated cannabis fintech platform. Owns product vision, KPIs, market research, compliance requirements, partner integrations, prioritization, and customer adoption. Collaborates with executives, financial institutions, fintech providers, designers, engineers, marketing, and account teams to launch embedded payment, banking, liquidity, and credit capabilities.

Own new business across North American betting and gaming, generating pipeline, winning new logos, and managing sales processes through close. Build relationships with operators and platform providers, sell fraud prevention, AML, and identity solutions, maintain accurate CRM forecasting, and collaborate with marketing, product, partnerships, and customer success. Serve as the internal voice of the vertical while staying informed on regulatory and competitive developments.

Full-cycle enterprise sales role responsible for prospecting, developing, qualifying, and closing deals with large, multi-stakeholder organizations. The position sells FacilitiesLink, a facilities information platform for planning, building, and operating large-scale campus environments. Compensation includes 50% commission, a $20-per-hour guaranteed draw, and on-target earnings starting at $150,000 annually. Flexible work arrangements are available, with occasional travel required.

Leads and scales the implementation team, manages and mentors implementation specialists, optimizes deployment playbooks, oversees implementation risk and quality, handles executive escalations, and partners with Sales, Product, Engineering, and Client Success. Tracks implementation KPIs, resource utilization, backlogs, and CRM data integrity while driving faster customer time-to-value, retention, and account growth.

Design and deploy production AI assistants, copilots, agents, RAG systems, and workflow automation using enterprise data. Build AI backend services, APIs, microservices, and AWS serverless workflows; integrate enterprise platforms; implement observability, responsible AI, human-in-the-loop controls, and traceability. Partner with Data, IT, and business teams to improve operational processes and decision-making while managing production incidents, model rollbacks, performance, accuracy, and cost.

Conduct full-lifecycle recruiting for technical and engineering roles, emphasizing creative sourcing of senior talent. Partner with hiring managers to define requirements and interview processes, improve recruiting workflows, manage multiple candidate pipelines, and deliver an excellent candidate experience. The role requires recruiting experience in technology startups and defense or adjacent industries, along with strong sourcing and process-management skills.

Recruit clinicians by reviewing applications, conducting interviews, assessing clinical and operational fit, maintaining accurate applicant-tracking records, and coordinating candidate handoffs through offer and onboarding stages. The role focuses on delivering an excellent candidate experience while identifying therapists and psychologists passionate about serving older adults. This is a remote, part-time position requiring strong interpersonal judgment, organization, flexibility, and the ability to manage frequent interviews in a fast-paced environment.

Lead large-scale Linux sensor platform initiatives for high-performance OT and ICS network monitoring. Design and improve packet ingestion, capture pipelines, queue management, broker integration, observability, and reliability. Own production root cause analysis, postmortems, performance benchmarks, and durable fixes. Translate business goals into technical plans, establish engineering standards, mentor team members, and guide architecture across the sensor codebase.

Engineer AI-powered threat detections, automated response playbooks, and continuous adversary emulation. Apply machine learning and LLMs to security operations, conduct threat hunting and AI red teaming, map coverage to MITRE ATT&CK, and develop detection-as-code through CI/CD. Build production-grade Python integrations, measurable containment capabilities, and safe autonomous defenses with guardrails. Mentor security professionals and collaborate across threat response, cyber defense engineering, and platform teams.