Top Senior Machine Learning Jobs in Milwaukee, WI

Build and deploy production-grade AI and machine learning solutions for marketing and sales, including LLM agents, data-quality pipelines, semantic search, RAG, analytics, and integrations with Salesforce, Marketo, and Adobe platforms. Define evaluation and governance practices, monitor AI services, implement privacy controls, and collaborate with platform teams. Train and mentor technical and business stakeholders on responsible AI adoption while supporting DevOps, incident response, and operational runbooks.

Develop and optimize full-funnel, multi-channel demand generation campaigns that generate pipeline, accelerate deals, and support cross-sell and upsell opportunities. Partner with product marketing, sales development, content, product, field, partner marketing, and analytics teams. Build lead-nurturing programs, align assets to buyer stages, monitor conversion and ROI metrics, and create dashboards to optimize campaign performance.

Leads a multi-team organization building AI-driven cybersecurity systems for endpoint and cloud environments. Owns technical strategy, roadmap, hiring, delivery, evaluation, and safe production deployment of AI models and autonomous defense agents. Oversees systems operating under strict endpoint resource limits and at cloud scale across trillions of events. Partners with engineering, product, threat intelligence, and executives while advancing security efficacy, reliability, and responsible AI adoption.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Own and grow strategic enterprise customer relationships, driving retention, renewals, expansion, and seven-figure software transactions. Develop multi-year account plans, build executive and technical stakeholder relationships, identify expansion opportunities, lead negotiations, maintain forecasts and pipeline visibility, and coordinate cross-functional teams. Engage with data scientists and AI/ML engineers to understand adoption, customer outcomes, and opportunities to expand platform usage across business units and use cases.

Own the strategic vision and roadmap for Coursera’s AI-driven search experience. Lead conversational search, personalization, semantic and multilingual search, ranking, and discovery improvements. Partner with engineering, design, research, data science, ML, marketing, and partnerships teams to deliver scalable platform capabilities. Use experimentation, market analysis, KPIs, and customer insights to improve conversion, merchandising, learner experience, and revenue.

Leads GitLab’s Product Data Science team, setting its strategy, roadmap, analytical standards, and priorities. Partners with Product and Engineering leaders on experimentation, causal inference, analytics, and production modeling. Manages, hires, coaches, and retains data scientists while building a high-performing function. Provides hands-on technical review of models, analyses, and queries, and communicates insights and risks to senior leaders.

Deploys, configures, optimizes, and supports CrowdStrike Falcon’s AI-powered detection and response capabilities. The role tunes machine learning models, develops security automation playbooks, troubleshoots customer environments, integrates Falcon with existing tools, supports threat hunting and forensic analysis, and develops AI training and customer-facing materials. Requires extensive IT deployment, endpoint, security automation, operating system, AI/ML, scripting, and customer consulting experience, with travel up to 25%.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Analyzes the Security for AI competitive landscape, including AI detection and response, generative AI security, autonomous agents, prompt injection, and data leakage. Partners with Product, Sales, Marketing, Strategy, and senior leaders to guide product roadmaps, go-to-market strategy, deal support, sales tactics, and competitive positioning. Conducts win/loss analysis and translates complex AI and cybersecurity concepts into executive and field-actionable guidance.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Define and own the technical vision, product strategy, roadmap, data strategy, and AI integration for CrowdStrike’s Next-Gen SIEM and log management products. Translate customer, market, and threat intelligence into shipped capabilities; lead cross-platform integration across endpoint, cloud, identity, and exposure products; and articulate the platform consolidation narrative. Engage executives, customers, analysts, sales, engineering, and product teams while driving detection, investigation, response automation, and cybersecurity thought leadership.

Build and maintain core infrastructure for developing, training, evaluating, deploying, and operating machine learning models and pipelines for Atlassian’s GenAI products. Solve complex software infrastructure and architecture challenges, lead engineers through technical projects from design to launch, and collaborate with internal teams and customers. The role involves large-scale distributed systems, data processing, cloud platforms, CI/CD, and machine learning lifecycle support.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

Leads technical pre-sales for supply chain integration solutions, partnering with Sales to conduct discovery, design ERP/WMS/TMS and trading-partner architectures, run POCs, deliver demonstrations, and respond to RFPs. Advises technical and executive stakeholders on business outcomes and AI opportunities, translates capabilities into measurable ROI, and collaborates with Product, Customer Success, and Professional Services on roadmap feedback and post-sale handoffs.

Leads enterprise software pre-sales for an AI-native supply chain platform. Responsibilities include discovery, product demonstrations, RFP and proposal responses, client workshops, proof-of-concept scoping, deployment architecture design, partner enablement, event support, and reusable sales asset development. The role requires deep expertise in supply chain planning, AI-native architecture, SAP IBP integration, enterprise software delivery, and technical presentations to executive and technical stakeholders.

Leads enterprise software pre-sales activities, including discovery, product demonstrations, RFP responses, solution scoping, workshops, proof-of-concepts, and proposal development. Supports partners and industry events, creates reusable sales enablement assets, and collaborates with sales, product, legal, delivery, analytics, and technology teams. Advises senior clients on marketing measurement, attribution, forecasting, optimization, AI-native software, and investment effectiveness while advancing complex sales opportunities.

Originates and qualifies enterprise software sales opportunities for supply chain solutions, manages pipeline and forecasts, conducts discovery, develops value propositions and commercial proposals, coordinates presales resources, supports negotiations, and advances deals through close. Engages senior supply chain and executive buyers across industries, supports channel partners and junior sellers, attends industry events, and provides competitive intelligence. The role requires enterprise software sales expertise, AI-native product knowledge, supply chain understanding, and hyperscaler co-sell experience.

Lead product strategy, roadmap, and delivery for Falcon Complete’s internal MDR tooling, including AI-powered investigation and triage, ticketing, case management, and analyst workbench systems. Partner with security operations, analysts, engineering, and data science teams to translate workflows into product requirements, prioritize automation, improve analyst productivity and response times, define success metrics, and enhance customer outcomes.

Originates and advances enterprise software sales opportunities for manufacturing clients. Responsibilities include pipeline development, discovery, value proposition and business case creation, proposal delivery, deal coordination, partner support, forecasting, CRM management, and contract negotiation. The role requires selling AI-native SaaS and platform solutions, understanding manufacturing technologies and OT/IT convergence, engaging executive and operational buyers, building land-and-expand motions, and translating operational outcomes into financial value.

Lead pre-sales for AI-enabled manufacturing software, including discovery, solution demonstrations, RFP responses, workshops, proof-of-concepts, and proposal development. Partner with sales teams, technology partners, and clients to design solutions integrating manufacturing systems, OT/IT data, ERP, cloud, and agentic AI platforms. Create reusable sales assets, support industry events, enable team members, and contribute to pipeline reporting and win/loss reviews. The role requires extensive enterprise software pre-sales experience and frequent client travel.

Designs end-to-end architectures for digital products and platforms, translating business requirements into scalable technical solutions. Responsibilities include creating architecture artifacts and process maps, defining API and enterprise integration strategies, evaluating technologies, supporting AI and analytics initiatives, and guiding implementation teams. The role partners with product and engineering stakeholders while addressing scalability, security, governance, reliability, and operational supportability.

Leads enterprise software pre-sales for consumer goods and route-to-market solutions. Supports discovery, solution scoping, product demonstrations, RFP responses, workshops, proofs of concept, partner engagements, and industry events. Develops reusable sales assets and translates complex business requirements into integrated architectures involving ERP, warehouse, retail, data, and AI platforms. Advises senior stakeholders on field sales automation, distribution, retail execution, offline mobile solutions, analytics, and AI-driven capabilities while collaborating with sales, product, legal, and delivery teams.