GTM AI Operations Manager

Sokin; City Of London; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading financial services provider is looking for a professional to manage AI workflows and drive go-to-market (GTM) initiatives. The role involves coordinating AI use cases across marketing, sales, and customer success to enhance performance. Ideal candidates will have 3-5 years of experience in GTM operations within a B2B SaaS or technology environment. The position emphasizes cross-functional collaboration, strong analytical capabilities, and effective communication skills. A background in using relevant tools like Salesforce or HubSpot is preferred.

Benefits

Competitive salary

Training and development opportunities

Qualifications

• Experience in managing cross-functional operational initiatives.
• Strong understanding of the GTM customer lifecycle.
• Proven analytical skills related to business outcomes.

Responsibilities

• Run a structured intake process for AI use cases.
• Coordinate delivery from discovery to launch.
• Drive AI workflow adoption across GTM teams.

Skills

Cross-functional leadership

Analytical skills

Communication skills

Education

3-5 years in GTM Operations or similar

Tools

Salesforce

HubSpot

Data analysis tools

Job description

About Us

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.

Key Responsibilities

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 optimisation.

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.

What this role is not

• Not an AI engineer, data scientist, or automation builder role.
• Not responsible for model development or core technical implementation.
• Not a standalone enablement role, this position owns the full operational lifecycle of GTM AI.

Required qualifications

• 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.

Preferred qualifications

• 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.

What success looks like

• GTM teams clearly understand when and how to use AI in their workflows.
• AI initiatives are prioritised, governed, and delivered with minimal friction.
• Adoption is high and sustained across GTM functions.
• Leadership has clear visibility into AI impact on productivity, pipeline, and customer outcomes.
• AI workflows continuously improve and scale responsibly across the customer lifecycle.
• GTM AI initiatives move from idea to production smoothly and predictably.
• AI workflows in Zoho CRM and connected systems are reliable, adopted, and continuously improving.
• GTM teams trust AI‑enabled workflows because they solve real problems and fit naturally into their day‑to‑day work.