Top Tech Jobs & Startup Jobs in Milwaukee, WI

Own cloud security across AWS and Azure, including identity, network, application, container, data, and AI security. Build policy and infrastructure controls as code, integrate security into CI/CD, protect regulated health data, and manage detection, incident response, vulnerability remediation, and compliance. The role also develops AI security guardrails and coaches engineering teams while operating production security controls and supporting on-call responsibilities.

Build and operate production AI agents, including autonomous coding systems, retrieval and knowledge layers, MCP tooling, evaluation frameworks, and secure LLM workflows. Improve model cost, latency, reliability, and observability on AWS Bedrock while integrating Snowflake, documentation, knowledge graphs, Jira, Slack, and developer workflows. Responsibilities include prompt and model evaluation, security hardening, design documentation, code review, mentoring, and on-call ownership.

Reviews retail advertising and communications for compliance with insurance, securities, FINRA, SEC, and state regulations. Researches regulatory requirements, responds to regulator and customer inquiries, coordinates subject matter reviews, tracks communications for retention, maintains compliance materials, and communicates regulatory changes. The role requires managing high volumes under tight deadlines while ensuring consistent review standards.

Owns financial-systems strategy and execution across a network of subsidiaries. Responsibilities include selecting and standardizing ERP platforms, leading implementations and transitions, defining governance for complex accounting scenarios, evaluating vendors, troubleshooting system issues, and advising leadership on technology investments. The role requires hands-on NetSuite expertise, broad financial-systems knowledge, strong architectural judgment, and the ability to collaborate with finance teams, vendors, consultants, and executives.

Design, develop, and enhance custom SAP Fiori/UI5 applications; configure Fiori Launchpad; integrate OData services; perform UI debugging, performance optimization, code reviews, unit testing, and documentation while collaborating with backend and functional teams.

Lead design and implementation of tracking with GTM, analyze user behavior in GA4, build BigQuery queries and dashboards, define KPIs with cross-functional teams, troubleshoot tagging/data issues, and perform deep-dive conversion and journey analyses to optimize web and mobile performance.

Design, develop, and maintain scalable backend services in Golang. Build and consume REST APIs and microservices in cloud environments, collaborate with cross-functional teams, debug and optimize performance, and participate in code reviews and best-practice adoption.

Provide in-house legal counsel for procurement, supply chain, logistics, operations and real estate across North America. Draft, review, and negotiate vendor and service agreements, manage vendor disputes and pre-litigation issues, support M&A due diligence, develop contracting templates and playbooks, and advise on operational risk, compliance, and strategic transformation initiatives.

Join Impact Scale’s ongoing talent network for potential future opportunities in growth and strategy, creative production, or technology and engineering. The company seeks affiliate managers, media buyers, campaign managers, video editors, content creators, back-end developers, and software engineers. This is a talent pipeline rather than an application for a specific immediate opening.

Build and deploy production-grade AI applications and agentic systems for client organizations. Translate ambiguous business needs into architectures, prototypes, workflows, APIs, data pipelines, and scalable products. Engineer agent harnesses, orchestration graphs, evaluations, observability, safeguards, and human controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales. Occasional travel may be required for client engagements.

Build and deploy production-grade AI applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products for clients. Translate ambiguous business needs into architectures and prototypes, engineer agent harnesses and orchestration systems, create evaluation and observability frameworks, integrate enterprise systems, and implement security controls. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops, demonstrations, and pre-sales activities.

Build and deploy production-grade AI applications, agentic workflows, developer tools, APIs, data pipelines, and full-stack products for clients. Translate ambiguous business needs into architectures and prototypes, engineer agent harnesses, tools, memory, permissions, evaluations, observability, and safeguards, and evolve successful solutions into secure, scalable systems. Collaborate directly with clients and cross-functional teams, troubleshoot complex environments, communicate technical trade-offs, and support workshops and pre-sales activities.

Drive enterprise SaaS growth by sourcing and qualifying opportunities, engaging executive stakeholders, leading consultative sales cycles, closing seven-figure deals, forecasting pipeline, and exceeding revenue targets. The role requires technical and value-based selling across marketing, IT, ecommerce, and customer experience functions, with cross-functional collaboration across Sales Engineering, Product, Marketing, and Leadership.

Own post-sale relationships for a portfolio of SaaS clients, developing success plans, coordinating cross-functional teams, solving strategic and technical challenges, and managing renewals, negotiations, expansions, and advocacy. The role also supports presales discovery, executive engagement, commercial forecasting, partner alignment, and client business reviews. Approximately 10% or less annual travel may be required.

Own and evolve a BigQuery and dbt marketing data platform while designing, deploying, and securing AI applications and agents on Google Cloud. Build ETL/ELT pipelines, self-service automation tools, and production-grade infrastructure. Establish engineering standards for AI-assisted development, including testing, version control, CI/CD, security, governance, and reliability. Provide architectural leadership and collaborate with marketing, product, finance, sales, and analytics teams.