Top Tech Jobs & Startup Jobs in Belfast

Designs and delivers AI-native solutions across business functions including People, Legal, Finance, and Operations. Responsibilities include identifying transformation opportunities, building and deploying AI agents and automated workflows, integrating enterprise systems, driving adoption, measuring business impact, applying governance and human oversight, and mentoring colleagues. The role partners with functional leaders to redesign operating models and continuously improve production AI solutions.

Build and manage scalable partner marketing programs that generate demand and pipeline. Own partner segmentation, messaging, joint campaigns, partner enablement, budget allocation, and MDF investments. Measure partner-sourced and partner-influenced pipeline, engagement, and ROI while coordinating with Channel, Demand Generation, Product Marketing, Sales, Content, and Revenue Operations. Improve workflows through AI and automation in a fully remote, global environment.

Own end-to-end B2B integrated growth campaigns that generate pipeline and accelerate opportunities. Develop campaign strategies, channel mixes, budgets, messaging, enablement, and quarterly plans across email, webinars, events, content, direct mail, referrals, and demos. Partner with marketing, sales, operations, vendors, and BDRs to execute campaigns, measure attribution and ROI, optimize performance through testing, and create repeatable playbooks. The role also explores AI and emerging technologies for segmentation, personalization, content, and workflow automation.

Own product vision, strategy, and execution for Hire & Onboard or Benefits domain. Lead discovery, roadmap, and delivery with Engineering and Design; embed regulatory and compliance requirements; leverage AI/automation and data to improve outcomes; align cross-functional stakeholders and measure impact.

Lead the vision, strategy, and execution of Oyster’s Employer of Record product across onboarding, payroll, benefits, compliance, and offboarding. Manage and develop a multi-layered product organization, prioritize complex initiatives, and partner with Engineering, Design, Legal, Finance, and Operations. Drive AI-powered automation, scalable workflows, measurable business outcomes, and product quality across a regulated global employment platform.

Lead AI transformation across Sales, Marketing, Customer Success, Partnerships, and Revenue Operations. Identify high-value opportunities, design and deploy production AI agents, agentic workflows, automations, integrations, and enterprise solutions, then drive adoption and measure business impact. Partner with functional leaders, make sound decisions about AI suitability, redesign operating models, improve reliability and governance, and mentor colleagues while establishing reusable standards across the organization.

Own the GTM organization’s operating rhythm, strategic planning, cross-functional growth initiatives, internal communications, and execution cadence. Partner closely with the CRO and Sales, Marketing, Partnerships, and RevOps leaders to translate strategy into OKRs, improve collaboration, resolve operational bottlenecks, manage QBRs, and drive initiatives from decision through measurable delivery. The role also represents GTM needs across Product, Engineering, Finance, Customer Experience, and People teams.

Lead Oyster’s company-wide editorial and category narrative across marketing, executives, product, people, legal, and customer-facing teams. Build AI-first systems for research, brand voice, fact-checking, source verification, repurposing, evaluation, and governance. Direct thought leadership, executive publishing, original employment research, and multimedia activation. Connect content decisions to growth, trust, influence, and pipeline while mobilizing stakeholders, freelancers, agencies, and experts without formal authority.

Build and operate shared AI platform infrastructure for LLM applications, agents, RAG, tool calling, and AI workflows. Develop data and knowledge pipelines, secure enterprise integrations, reusable frameworks, deployment and observability standards, and developer tooling. Take AI systems from experimentation to reliable production while ensuring security, privacy, governance, scalability, quality, and cost efficiency. Collaborate across Engineering, Product, and IT to establish practical AI platform patterns and guardrails.