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Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business, so businesses thrive wherever they choose to grow. We deliver services across: Global payments and receivables; Foreign Exchange (FX); Treasury management; Finance reconciliations. We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide. Our clients span industries from sports and entertainment to logistics and travel, and our community is growing fast. As we continue to scale, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Job Responsibility:
GTM AI discovery and problem framing
Establish and run a structured intake process for AI use cases across Marketing, Sales, and Customer Success
Drive cross-functional alignment on what is being built, why, and when
facilitate quarterly planning and ongoing stakeholder updates
Proactively identify opportunities where AI can meaningfully improve GTM performance across lead nurturing, prospecting, outreach, account management, renewals, and expansion
Lead structured discovery with Marketing, Sales, and Customer Success teams to understand pain points, workflows, and opportunities for AI leverage
Execution ownership of AI workflow initiatives
Coordinate delivery from discovery and validation through launch, iteration, and ongoing support
Translate strategy and priorities into concrete requirements, workflows, and implementation plans
Partner with technical teams and tools to implement AI workflows directly or coordinate their delivery, including automation logic, triggers, and integrations
Serve as the primary day-to-day owner of AI workflows once live, ensuring they function as intended and continue to improve over time
Own documentation, release notes, change management, and operational readiness for AI-enabled workflows
Adoption, enablement, and change management
Ensure AI workflows are operationally ready before launch, including documentation, enablement materials, and rollout plans
Partner with GTM Enablement and Ops teams to train users and embed AI workflows into daily processes
Gather feedback from frontline users and translate it into concrete improvements
Drive adoption of AI workflows across GTM teams through enablement programs, training sessions, playbooks, and job aids
Monitor usage and adoption metrics
identify friction points and continuously improve workflow design and rollout
Governance, risk, and responsible AI use
Establish and maintain governance for GTM AI usage, including standards, approval paths, human-in-the-loop processes, and escalation procedures
Partner with Legal, Security, IT, and Data teams to ensure compliance with internal policies and external regulations
Maintain a centralised repository of AI workflows, standards, guidelines, and best practices
Flag risks, inconsistencies, or unintended outcomes early and work with leadership to address them
Measurement, insights, and continuous improvement
Align on success metrics for GTM AI workflows (e.g., productivity gains, conversion lift, response rates, time saved, pipeline impact)
Build and maintain dashboards and executive-level reporting on AI adoption and business outcomes
Use insights to inform roadmap adjustments and continuous optimization
Tooling and vendor evaluation (as needed)
Identify when new AI tools or platforms are required to support GTM objectives
Lead evaluation, selection, and rollout of vendors in partnership with IT, Procurement, and Legal
Requirements:
3-5 years of experience in any of these areas, GTM Operations, Sales Ops, Marketing Ops, CS Ops, or Program Management in a B2B SaaS or technology environment
Proven experience leading cross-functional operational initiatives from intake and prioritisation through delivery, adoption, and measurement
Strong understanding of the end-to-end GTM customer lifecycle and associated metrics
Working knowledge of generative AI concepts, risks, and best practices sufficient to manage requirements, governance, and stakeholder expectations
Strong analytical skills with experience defining KPIs, building dashboards, and tying initiatives to business outcomes
Excellent communication and stakeholder management skills, with the ability to translate between business and technical teams
Nice to have:
Experience operationalising new technologies at scale, including governance, enablement, and change management
Familiarity with common GTM systems (e.g., Salesforce, HubSpot, Marketo, Outreach/Salesloft, Gainsight, Gong, Zendesk)
Experience working with Data, Engineering, or Product teams to operationalise workflows
Exposure to vendor evaluation and procurement processes