Jobs at ComplyAdvantage

Own EMEA regional marketing execution by localizing global campaigns, managing events, sponsorships, webinars, partners, vendors, budget, and performance reporting. Collaborate with global marketing and regional sales teams to build plans, improve lead and pipeline contribution, monitor market trends, maintain brand consistency, and develop co-marketing partnerships across EMEA.

Lead ComplyAdvantage’s APAC new-business sales function, owning new-logo revenue and building the regional sales engine. Recruit, coach, and manage two BDRs and four AEs; improve qualification, forecasting, territory planning, pipeline generation, and CRM hygiene. Partner with Marketing, Revenue Operations, Product, Enterprise, and global commercial leadership. Engage senior decision-makers across fintech, payments, banking, and credit union customers while driving value-based selling, MEDDIC adoption, cross-sell, and expansion opportunities.

Lead the global revenue marketing strategy for a B2B SaaS company, integrating demand generation, ABM, digital, web, lifecycle, events, partner marketing, and growth programs. Build and lead a global marketing organization, generate predictable pipeline, accelerate acquisition and conversion, optimize campaigns through experimentation, and partner with Sales, Customer Success, Product, Communications, and Marketing Operations to drive measurable commercial results.

Lead global customer support teams, ensuring operational performance and quality. Utilize data and AI for decision-making while fostering a culture of accountability and improvement. Oversee L1 and L2 operations, training, and customer service standards

Sell ComplyAdvantage's AI-driven financial crime SaaS platform to fintechs, payments firms, banks and credit unions. Prospect outbound, qualify and manage pipeline, negotiate and close deals against quarterly targets, collaborate with SDRs, provide market feedback, and coach junior sales staff. Focus on solution/value-based selling and driving significant new business growth.

Lead the design of data platforms for AML/KYC and Fraud products, shaping data systems, coaching engineers, and setting technical direction across teams.

Lead architectural design and engineering build-out of company-wide MLOps and agentic AI platforms. Develop and productionize ML/LLM models, RAG, multi-agent systems, and GNNs; implement training, evaluation, serving, feature/vector stores, monitoring, and CI/CD; set engineering standards; collaborate with data science and senior stakeholders; represent company externally.

As a Senior Solutions Consultant, you'll partner with the Commercial team to translate complex tech into business value, delivering presentations and technical expertise while mentoring junior team members.

Supports SaaS AML implementations by translating client requirements into technical rule configurations, managing project plans, tracking milestones, coordinating stakeholders, deploying rule changes, resolving roadblocks, and developing technical and business specifications. Partners with Customer Success and Product Management to improve implementations and product capabilities while ensuring projects meet scope, budget, timeline, and quality standards.

Support client implementations of SaaS anti-money laundering solutions, including configuring fraud detection rules, deploying production changes, and translating business needs into technical requirements. Manage implementation projects, plans, timelines, budgets, deliverables, issue resolution, and reporting. Collaborate with Customer Success, Product Management, client IT teams, and other stakeholders to ensure successful launches and provide product feedback.

Lead global GTM planning: own annual revenue planning, capacity and headcount models, territory design, quota-setting, and compensation analytics. Partner with Finance, Sales leaders, and Marketing Ops, leveraging AI and planning platforms to build scalable planning processes and executive-grade decision materials.

Lead full new-business sales cycle for fintech, banks, and payments: build territory strategy, generate pipeline with a BDR, qualify and negotiate complex deals, close net-new logos, and provide market feedback to product teams. Consistently exceed new-business quota while mentoring junior sellers and operating in an entrepreneurial, cross-functional environment focused on financial crime prevention.

The Contracts Manager will draft, review, and negotiate commercial agreements, provide legal advice, and manage disputes. The role requires strong project management and negotiation skills, with a focus on efficiency and risk management in a fast-paced environment.

Manage a portfolio of French-speaking SaaS customers through onboarding, adoption, renewals and upsell. Act as trusted advisor, coordinate internal teams to resolve issues, drive product feedback and feature rollouts, and reduce churn while expanding account revenue.

Lead and redesign the global commercial sales function: build an AI-first, largely automated GTM engine; own new business, expansion, and retention; recruit and coach a high-performing team; establish qualification, forecasting, territory, and CRM standards; and drive cross-functional alignment with BD, Enterprise, Marketing, RevOps, and Product.

Provide senior FP&A support on a three-month fixed-term contract across monthly reporting and annual budgeting. Perform variance analysis, consolidate and reconcile data across systems, prepare Board and KPI packs, improve templates and processes, and support the wider finance team during peak cycles.

Build and maintain backend platform components for a SaaS transaction monitoring product. Implement orchestration features, large-scale data migrations, and scalable APIs/data pipelines. Participate in scrum teams, drive technical and architectural decisions, write tests, own production systems, and collaborate with ML engineers and data scientists.

Lead design and architecture of a petabyte-scale, real-time data platform powering AML/KYC and fraud products. Own ingestion, streaming, lakehouse, feature/serving stores, observability, data quality, and lineage. Partner with Engineering, Data Science, Product and SRE, coach engineers, set company-wide data standards, and enable ML/agentic AI workloads.

Build and own frontend UI components for a SaaS AML platform. Collaborate with backend engineers, design performant, maintainable interfaces, ensure production reliability and observability, write tests, and contribute in agile team ceremonies.

Lead architectural design and engineering build-out of company-wide MLOps and agentic AI platforms. Drive productionisation of ML, LLMs, RAG, multi-agent systems and GNNs; set engineering standards, CI/CD, evaluation, observability, and coach ML engineers. Translate data science roadmaps into scalable, compliant production systems.