Top Tech Jobs & Startup Jobs in Milwaukee, WI

Lead development and deployment of ML models and analytics for aircraft predictive maintenance. Build robust ETL pipelines, perform EDA and statistical analysis, collaborate with domain experts, integrate models into applications/APIs, and monitor model performance in production.

Lead design and delivery of provider-facing backend services and frontend applications. Own features end-to-end, mentor engineers, build React/TypeScript interfaces, design DRF REST APIs and database schemas, use LLM tooling (Claude) to accelerate development, and operate services on Kubernetes/GCP with Datadog for monitoring.

Lead design and implementation of scalable backend services and member-facing APIs using Python/Django, PostgreSQL, BigQuery/dbt and GCP. Own infrastructure as code (Terraform), container orchestration (Docker, Kubernetes), async/event-driven systems, observability, and performance tuning. Mentor engineers, collaborate with Product and Data teams, and ensure secure, low-latency, AI-driven member experiences.

Manage and grow strategic enterprise accounts in the Upper Midwest by driving product adoption, maximizing Net Dollar Retention, delivering analytics-led guidance, advocating customer needs to product teams, creating success plans, and running training and enablement to increase engagement and reduce churn.

Design, build, operate, and maintain petabyte-scale Product Metrics systems that store and serve trillions of records. Ensure performance, reliability, availability, and cost-efficiency; deliver features, mentor teammates, participate in on-call rotation, and collaborate across teams to support billing, dashboards, and customer analytics.

Lead design of partner school experiences focused on AI-generated messaging and personalized student communication across web and mobile. Collaborate with product, research, and analytics to prototype, iterate, and ship features; contribute to information architecture, content strategy, and design systems; mentor junior designers and improve design tooling and processes.

Lead engineering for Partner Experience across Partner Acquisition & Delivery and Partner Reporting & Insights. Own team health, technical strategy, delivery velocity, and AI-native engineering adoption. Partner with product leadership on roadmap, coach engineering managers, drive architecture and resourcing decisions, and measure AI-augmented velocity while delivering partner onboarding, quoting, lead delivery, and reporting systems.

Lead GTM strategy for Revenue: identify high-leverage problems, build and execute cross-functional plans, design territory/quota/headcount/comp frameworks, drive pipeline and funnel actions, build AI-enabled analytics and dashboards, and partner with GTM Engineering to define data and automation needs while influencing executive decision-making and driving adoption across revenue teams.

Lead and build Neuras product function from scratch, own end-to-end roadmap across patient, provider, partner, and ops surfaces, write PRDs, set PM processes/tools, drive build-vs-buy and AI automation initiatives, and ship features to improve visit retention and provider efficiency.

Freelance role to turn existing poker footage into compelling YouTube videos: pitch concepts, create thumbnails, edit multi‑camera projects, and use YouTube analytics to improve CTR and retention.

Lead product marketing and campaign program management to translate product strategy into positioning, launch plans, and measurable go-to-market programs. Build messaging frameworks, orchestrate cross-functional launches, govern GTM assets, and develop a high-performing team to improve launch readiness and commercial impact.

Lead strategy and execution for premium sports video formats: manage a team of producers, define a consistent visual voice, drive data-driven performance and monetization alignment, pilot new platform features and video technologies, and produce high-engagement, platform-native social and O&O video content.

Own end-to-end CIP decisioning and quality across KYC/KYB, CDD/EDD, and OFAC screening. QA AI-assisted onboarding decisions, document reasoning for bank and regulatory scrutiny, support sponsor bank deliverables, contribute to AML/BSA and regulatory testing, identify process improvements, and partner with Product/Engineering to build scalable compliance infrastructure.