Manager, AI Business Support

Be an Early Applicant Remote or Hybrid Hiring Remotely in United States Senior level Remote or Hybrid Hiring Remotely in United States Senior level Leads a team of forward-deployed AI engineers delivering production solutions for business functions. Owns AI use-case prioritization, technical quality, governance reviews, champion-network enablement, stakeholder partnerships, and team development. Directs solutions from design through deployment, ensures testing and security standards, coordinates Legal, Privacy, Information Security, and Procurement reviews, and promotes AI adoption through training and ongoing support. The summary above was generated by AI, CAS is building an AI organization that delivers production systems for scientists, customers, and the business. This role sits within the CAS AI team and leads a team of forward-deployed engineers, called AI Business Partners, who bring AI into how CAS and ACS business functions work every day. The manager is first a leader of people and partnerships: someone senior business leaders trust, engineers want to work for, and the organization sees as a visible champion for AI adoption. The manager is also a technical leader, able to direct technical work, ask the right questions, and judge the quality of what the team delivers, drawing on technical colleagues to assess and shape it where needed. The role does not require hands-on development. The role also runs the internal governance process that applies CAS AI policy to business use cases, and leads the AI champion network, which places champions within each business function to spread capability where the work happens. Where this team sits

AI Business Partners are engineers who are part of the CAS AI team and work embedded with business functions. They spend time inside those functions, find the problems worth solving, and design, build, and run AI solutions through to production. Work that becomes shared platform capability, or that serves customers, moves to other parts of the CAS AI team with a written specification, an evaluation plan, and a named business owner.

Champions are members of their own business functions and stay in those roles, with dedicated time for AI work. Champions answer day-to-day AI questions within their functions and build within a defined scope. AI Business Partners take escalations, harder questions, and work that needs engineering depth. Key responsibilitiesBusiness partnership

• Build trusted relationships with leaders across CAS and ACS functions and become their first call on AI.
• Make the team the first point of contact for AI questions from business functions, including what tools to use, what is allowed, and how to get started.
• Shape the internal AI use case portfolio. Size each idea by who has the problem, how often, what it is worth, and what mistakes would cost.
• Decide for each use case whether to reuse an existing solution, buy, build, or place it on the backlog, and explain those decisions in business terms.
• Track the value of solutions after launch, and retire solutions that no longer earn their keep.

Leadership of technical work

• Direct the team’s technical work from design through deployment and support, setting priorities, removing obstacles, and keeping delivery on track.
• Set clear expectations for quality, including testing, security, documentation, and supportability, and hold the team to them.
• Judge whether solutions are fit for purpose, and bring in architects, evaluation specialists, and other technical colleagues to assess and shape work where deeper expertise is needed.
• Make sure each solution has defined test cases and quality measures, and make the final call on whether it is ready for users.
• Work with platform, evaluation, and infrastructure colleagues across the CAS AI team so that solutions build on shared platforms and meet engineering and security requirements.
• Decide when a solution should be handed off as shared platform capability, and lead that handoff with a clear specification.

AI champion network and enablement

• Serve as the sponsor and organizer of the AI champion network.
• Define and document the champion charter, including expectations, scope, and the time each champion needs, agreed with IT, Information Security, and champions’ managers within each function.
• Set nomination criteria based on demonstrated AI use and peer trust rather than seniority, and confirm managers commit protected time.
• Design champion training around each champion’s own work, with delivery of one real use case from their function as the standard for completion.
• Prepare champions to field AI questions within their functions and teach peers, with clear guidance on when to escalate to the AI Business Partners.
• Lead education for business functions through sessions, demonstrations, office hours, and reusable guides, delivered by the team and by champions.
• Own what happens after training, including ongoing support, regular community activity, manager briefings, and continual renewal of the network.

People leadership

• Hire, coach, and develop forward-deployed engineers, with growth paths in both technical depth and business partnership.
• Build a team culture of ownership, curiosity, and close partnership with the business.
• Set clear goals, assignments, and standards of quality for the team, and give regular, direct feedback.

Governance process

• Run the intake and review process that applies CAS AI policy to internal use cases and tool requests.
• Maintain the internal AI use case register, including owners, approved tools, data used, and status.
• Coordinate reviews with Legal, Information Security, Privacy, and Procurement, and track each request to a decision.
• Keep the process fast and predictable, with clear criteria for which requests need full review and which can follow a lighter path.
• Report where policy creates friction or gaps in practice, and bring that feedback to the policy owners., Lead diligence support, M&A integration planning, execution, and operational infrastructure for CrowdStrike’s corporate development function. Coordinate cross-functional workstreams, manage change and stakeholder alignment, track integration KPIs and synergies, and report risks to executives. Build repeatable playbooks, templates, governance processes, and AI-enabled tools. Support Falcon Fund portfolio companies through QBRs, financial reporting oversight, partnership coordination, and strategic alignment with CrowdStrike’s platform and go-to-market organization., Conduct advanced threat hunting, dark web monitoring, and customer-specific cyber threat intelligence operations. Serve as a trusted advisor to assigned customers, investigate nation-state and criminal threats, prepare actionable intelligence, deliver briefings to technical and executive stakeholders, and respond to customer requests. The role also involves using AI and autonomous agents to improve intelligence analysis and supporting a rotational weekend on-call schedule. Top Skills: AIAPIsAutonomous AgentsLogscale

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• Bachelor’s degree in computer science, engineering, a scientific field, business, or a related discipline, or equivalent experience
• Typically 8 or more years of experience in technology, product, consulting, or engineering roles, including 3 or more years leading people
• Experience leading engineers or technical teams, and driving technical work to delivery
• Working knowledge of how AI applications are built, including large language models, agents, and integration with business systems and data, sufficient to direct the work and judge its quality
• Experience working directly with senior business stakeholders to turn problems into delivered solutions
• Strong coaching and people development skills
• Experience teaching or training others, and explaining technical topics to nontechnical audiences

Preferred

• Prior hands-on experience in software engineering, solutions engineering, or a related technical role
• Experience in a forward-deployed, customer engineering, or embedded consulting team
• Experience running an internal champion, ambassador, or community of practice program
• Experience running a governance, risk, or review process across multiple functions
• Experience in the information industry, scientific publishing, or a scientific organization

Remote or Hybrid CA, USA 223K-335K Annually Expert/Leader 223K-335K Annually Expert/Leader eCommerce * Fintech * Hardware * Payments * Software * Financial Services Leads and develops an enterprise sales team responsible for strategic seller acquisition, pipeline generation, complex deal execution, forecasting, and revenue outcomes. Builds repeatable sales motions, coaches Enterprise Account Executives, manages territory and account strategies, leads high-value negotiations, and partners cross-functionally with product, legal, finance, marketing, implementation, and customer success teams. Uses market insight to influence product, pricing, partnerships, and go-to-market strategy. Top Skills: AIAPIsAutomationDataFintechIntegrationsPaymentsSaaS CrowdStrike