
201 - 500 employees
Founded 2009
🤝 B2B
🎯 Recruiter
☁️ SaaS
B2B • Recruitment • SaaS
Allshore Talent is a technology staffing and managed-services company that helps businesses hire and integrate global tech talent through offshoring, nearshoring and onshoring. With about 15 years in business and roughly 250 employees, they place developers, designers, QA testers, project managers and marketing experts and also deliver managed IT and technology solutions such as Reguweb (a web accessibility scanner/remediation product), Co-pilot CTO, QA-as-a-Service, cybersecurity-as-a-service and cloud management. Allshore positions itself as a B2B partner offering flexible staffing (remote staffing, direct hires, contract engagements), strategic tech leadership and outcome-focused integration and support, and is part of the Primero family with a US office in Kansas City, MO.
🔥 42 minutes ago
Where this job comes from
Posted on Allshore Talent's careers page, not through a job board
First seen by Remote Rocketship 42 minutes ago

201 - 500 employees
Founded 2009
🤝 B2B
🎯 Recruiter
☁️ SaaS
B2B • Recruitment • SaaS
Allshore Talent is a technology staffing and managed-services company that helps businesses hire and integrate global tech talent through offshoring, nearshoring and onshoring. With about 15 years in business and roughly 250 employees, they place developers, designers, QA testers, project managers and marketing experts and also deliver managed IT and technology solutions such as Reguweb (a web accessibility scanner/remediation product), Co-pilot CTO, QA-as-a-Service, cybersecurity-as-a-service and cloud management. Allshore positions itself as a B2B partner offering flexible staffing (remote staffing, direct hires, contract engagements), strategic tech leadership and outcome-focused integration and support, and is part of the Primero family with a US office in Kansas City, MO.
• Lead large-scale enterprise generative AI implementation programs from planning through deployment, adoption, and ongoing optimization • Translate business objectives and technical requirements into integrated implementation strategies, program roadmaps, and measurable delivery plans • Develop adoption plans covering organizational change, communications, training, skill development, process redesign, and user readiness • Establish governance models, decision-making structures, success metrics, and scalable roadmaps for enterprise AI capabilities • Partner with business, technology, data, security, legal, compliance, and change-management leaders • Lead cross-functional teams of consultants, engineers, architects, data professionals, change-management leaders, and subject matter experts • Manage concurrent workstreams, dependencies, milestones, risks, decisions, and business outcomes • Establish execution methodologies, documentation standards, controls, and stage gates • Drive accountability, assign ownership, monitor commitments, escalate obstacles, and ensure timely resolution • Create and operationalize risk-mitigation strategies • Facilitate program syncs, workstream reviews, governance meetings, steering committees, and executive business reviews • Provide executive reporting on progress, outcomes, risks, dependencies, decisions, and leadership actions • Facilitate scope, timing, risk, resource, technical-complexity, and organizational-readiness tradeoff decisions • Define and report delivery, quality, risk, adoption, operational-readiness, and business-outcome metrics • Track adoption and usage metrics, identify barriers, and implement corrective actions • Establish feedback loops and sustainable governance and operating models • Ensure generative AI capabilities become embedded in the client organization and deliver lasting business value
• Ten or more years of progressive program or project management experience • At least five years of experience managing complex enterprise software, technology, platform, or digital transformation implementations • Experience leading large, multi-workstream programs involving business, technology, data, security, governance, and organizational change • Strong understanding of artificial intelligence and machine-learning technologies, particularly generative AI applications in enterprise environments • Experience managing the implementation, integration, adoption, or scaling of AI-enabled products or capabilities • Ability to navigate complex technical architectures, system integrations, data ecosystems, and implementation dependencies • Understanding of enterprise considerations involving data quality, security, privacy, governance, performance, responsible AI, and production readiness • Experience developing and executing organizational change-management and adoption plans • Experience establishing program governance, success metrics, reporting, delivery methodologies, documentation standards, and stage gates • Experience leading programs using Scrum@Scale, SAFe, Disciplined Agile, LeSS, or a comparable scaled delivery framework • Demonstrated ability to manage concurrent workstreams and proactively resolve cross-team dependencies • Experience facilitating steering committees, governance reviews, executive business reviews, and cross-functional program meetings • Strong executive presence and ability to communicate technical progress, risks, decisions, and tradeoffs to non-technical leaders • Demonstrated ability to influence teams and stakeholders without direct authority • Strong sense of accountability, urgency, organization, and ownership • Excellent written, verbal, facilitation, and stakeholder-management skills • Preferred: experience leading enterprise generative AI or agentic AI implementations • Preferred: experience taking an AI capability from proof of concept through production deployment and enterprise adoption • Preferred: consulting or professional services experience working directly with large enterprise clients • Preferred: experience within Adobe, digital experience, creative production, content supply chain, MarTech, or enterprise workflow environments • Preferred: experience coordinating globally distributed teams and delivery partners • Preferred: experience managing vendor, platform, and systems-integration dependencies • Preferred: knowledge of AI governance, responsible AI, model evaluation, human-in-the-loop workflows, and production AI operations • Relevant program-management or Agile certifications preferred • Must select an eligible country location and accept full-time independent-contractor terms
• Competitive compensation • Flexible engagement models • Collaborative, remote-friendly culture • Full-time hours as an independent contractor
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