Top Tech Jobs & Startup Jobs in Milwaukee, WI

Provide end-to-end corporate travel support for contracted clients, booking domestic and international travel using GDS and ticketing tools, managing reservations/changes/cancellations, ensuring policy compliance, advising on visas/passports/health requirements, maintaining operational queues and SOPs, and delivering high-quality customer service and account backup support. Remote work required.

Build and ship production AI systems for enterprise portfolio and planning workflows. Develop anomaly and signal detection, LLM-powered insight synthesis, natural-language planning rule translation, evaluation frameworks, and MCP tools. Partner with external AI providers initially, then establish internal standards for prompt design, model selection, agent architecture, reliability, and evaluation. Collaborate closely with product, design, and domain engineering teams.

Build and evolve Fetch’s backend data platform, including pipelines, governed data access, delivery infrastructure, and partner integrations. Own ambiguous technical problems, lead cross-system initiatives and migrations, improve reliability and engineering efficiency, shape technical direction, collaborate across teams, and mentor engineers. The role requires strong platform engineering judgment, scalable systems experience, operational awareness, and the ability to influence stakeholders in an evolving environment.

Own product experimentation, causal analysis, KPI frameworks, predictive modeling, and user segmentation to improve growth, engagement, retention, and revenue. Partner with Product, Engineering, and Design to translate ambiguous questions into rigorous analyses and launch recommendations. Develop lifecycle intervention intelligence, evaluate treatment effects and persistence, communicate uncertainty, and influence roadmap decisions through reusable analyses and clear narratives.

Own company-wide KPI, modeling, and measurement workstreams; develop trusted metrics, KPI trees, forecasts, causal analyses, scenarios, and diagnostic tools. Partner with Data Engineering, Product, Engineering, Finance, and Commercial teams to connect business drivers to retention, monetization, revenue, and margin. Build reproducible SQL and Python workflows, communicate uncertainty and assumptions, and drive adoption of analytical frameworks and recommendations.

Build and ship full-stack features and bug fixes, focusing on SQL Server queries and stored procedures supporting .NET Core APIs and React interfaces. Follow development, testing, source control, and deployment practices; monitor shipped code for bugs, regressions, and performance issues. Collaborate through code reviews and technical discussions while protecting sensitive healthcare data through HIPAA-compliant handling and anonymized testing data. Grow toward independently designing and delivering features.

Build and ship full-stack features and bug fixes, focusing on accessible React interfaces backed by .NET Core APIs and SQL Server. Collaborate through code reviews, technical discussions, testing, deployment, and product development. Take ownership of shipped work, address defects, protect sensitive healthcare data using HIPAA-compliant practices, and progressively gain independence across the application stack.

Leads the Gale K12 Science product portfolio, setting content strategy, product roadmaps, budgets, metrics, and market plans. Uses customer, competitive, and market insights to guide product decisions and test ideas. Coordinates cross-functional teams across digital, marketing, sales, and content engineering to deliver quality learning products on time and within budget. Supports forecasting, presentations, sales efforts, customer research, and portfolio performance measurement.

The Product Marketing Manager leads go-to-market execution by translating customer insights into messaging, coordinating with cross-functional teams, and supporting product launches.

Owns positioning, messaging, competitive intelligence, content, and sales enablement for Moby, Triple Whale’s AI product. The role translates complex AI capabilities into customer value, develops market differentiation, evaluates competing solutions, creates collateral and demonstrations, and serves as an AI evangelist. The manager collaborates closely with Product, Engineering, Sales, Customer Success, Growth, Brand, and executive leadership to improve product adoption and go-to-market effectiveness.

Own go-to-market launches, weekly product drops, and product marketing for the platform team. Develop positioning, messaging, customer communications, demos, videos, social content, and visual assets. Coordinate cross-functional launch activities, measure reach and adoption, gather customer insights, and improve future launches. Translate technical platform improvements into clear customer benefits while supporting product decisions, customer education, and enablement for sales and customer success teams.

Design, build, and productionize LLM-powered systems (adaptive content, tutors, evaluators) and AI pipelines (RAG, embeddings, fine-tuning). Prototype and optimize models across modalities, define AI safety/evaluation/observability practices, and collaborate with product and engineering to measure learner outcomes and iterate.

Build and own user-facing features and core platform architecture across frontend, backend, and ML pipelines. Integrate AI workflows (LLMs, embeddings) for curriculum generation and automated evaluation. Manage end-to-end development: requirements, design, implementation, CI/CD, testing, observability, and iteration while collaborating with product, design, ML, and customer teams.

Own the post-sale partner lifecycle, including implementation, adoption, renewals, executive relationships, and account growth. Launch and scale Grower Concierge as a profitable service line, managing seasonal teams, quality, operating metrics, and unit economics. Build repeatable playbooks, improve partner and grower outcomes, and translate customer feedback into product priorities. Lead implementation, partner success, and concierge teams while serving as a senior company representative to enterprise customers.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.

Supports the Sales team by coordinating customer contract requests, tracking documentation in Smartsheet and Google Workspace, researching contract records, managing certificates of insurance, maintaining shared documentation, and resolving issues to meet deadlines. The role also assists with contract printing, assembly, delivery, and annual contract-support projects while communicating with internal and external stakeholders.