Overview
The Role
We are hiring a Principal Product Manager to own the Agentic Case Remediation product area within our Risk Applications tribe. This is a senior individual contributor role with genuine commercial accountability: you are responsible for business outcomes in your domain, not just delivery.
The product opportunity is specific and commercially significant. Compliance operations centres process enormous volumes of alerts, the vast majority of which are false positives. The centres are expensive, hard to staff, and their output is difficult to predict or scale. Through agentic remediation, 75-95% of false positives can be automatically resolved, dramatically reducing operational cost while making throughput more predictable and consistent.
This product already exists and is rolling out. It was originally built as add-on capability, proved its value quickly, and has become a successful product in its own right. The role exists because success demands dedicated senior product ownership: a PPM who can take a proven product through its next phase of growth, deepen its capabilities, and drive commercial adoption at scale.
ComplyAdvantage already has transaction monitoring, screening and risk intelligence products generating the alerts and cases that feed remediation. The agentic product sits on top of that existing infrastructure. Your job is to define where the autonomous resolution boundary moves next, build the capabilities that extend it, and demonstrate measurable ROI to buyers who care about operational cost, throughput and quality.
You will work within a dedicated squad alongside an engineering manager and engineers with AI/ML expertise. As PPM, you are the senior partner on product decisions in that squad: you own the customer requirements, the compliance context and the commercial logic. Your engineering counterpart owns architecture, model selection and implementation. You work as peers, but in Risk Apps the PPM sets the product specification.
You will operate within a structured product operating model with clear decision rights. The CPTO sets product vision; the Product Director builds the tribe-level roadmap; you translate your product area into executable plans with trackable returns. Each squad represents a significant investment, and you are expected to frame your product decisions as returns on that investment. If you have worked in organisations where product management is disciplined and commercially accountable, this will feel familiar. If you are looking for a role with full strategic autonomy and no governance framework, this is not the right fit.
What You Will Do
Own agentic remediation as a product area with a GM mindset. Understand the competitive landscape, know the buyer, and be accountable for whether the product is working commercially. The market for compliance operations automation is large and the pain is acute: buyers are spending heavily on manual alert processing that is overwhelmingly false positives. The commercial logic of this product is proven. Your job is to deepen its capabilities and drive adoption at scale.
Build for the buyer. The buyer is a COO, CFO or Head of Operations looking at a compliance cost centre and asking how to make it more efficient and more predictable. The value proposition is operational transformation: replacing manual, repetitive case handling with autonomous resolution that is faster, more consistent and significantly cheaper. Your product thinking must start from that commercial reality: what does the buyer need to see to trust an autonomous system with decisions currently made by people? What is the unit economics argument? How do you demonstrate ROI in terms the CFO cares about?
Solve the trust problem. The barrier to wider adoption is not technology; it is trust. Buyers need confidence that an autonomous system will make decisions at least as good as their current processes, with a complete audit trail and clear accountability. You need to design products where the autonomy boundary is explicit, the evidence chain is transparent, and the buyer can demonstrate to their own stakeholders (and regulators) that automated decisions are defensible. The human-in-the-loop model is the mechanism that builds buyer confidence as the autonomous resolution rate increases over time.
Work directly with customers and prospects. You will be the product voice in agentic remediation conversations with the field, working with Solutions Consulting, Customer Success and Sales. Buyers evaluating this product need to be shown, not told: demonstrate the autonomous resolution rate, show the audit trail, quantify the cost saving. You have the advantage of an existing product with real results to point to. You are expected to engage with operations leaders on their terms. Customer-facing commitments with dates require CPTO sign-off.
Drive requirements through a clear planning process. We work in six-week blocks. The document flow runs Plan of Record to PRD to Epics to Implementation, with quality gates at each stage. You will own PRDs for agentic capabilities and draft epics using AI-assisted workflows, refining them jointly with your EM.
Manage cross-tribe dependencies. Agentic remediation depends on capabilities in our Data tribe (intelligence graph, entity resolution, ML models) and Platform tribe (orchestration infrastructure, API surface). As the product's capabilities extend, requirements originating in your product area cascade to those tribes as derived requirements through the formal planning process. You need enough technical understanding of LLM capabilities, retrieval-augmented generation and agent orchestration to write requirements that are realistic and to have productive conversations with AI engineering.
Use AI in your own work. We expect PPMs to use AI-assisted workflows for requirements generation, competitive analysis and document production. This is how we work, not something we aspire to.
What We Are Looking For
Essential:
* 8+ years in product management, with at least 3 years in senior IC roles owning complex B2B SaaS products
* Experience building products that involve AI/ML in production, with a practical understanding of what LLMs and agentic patterns can and cannot reliably do today. You need to understand the capabilities and limitations well enough to make sound product decisions about where autonomous resolution is viable and where it is not
* Experience with products that automate high-volume operational workflows, ideally replacing manual processes with autonomous resolution at scale. You understand the commercial logic of operational transformation and are comfortable building for buyers who are investing in efficiency
* Commercial credibility with enterprise buyers: you have engaged directly with operations leaders, understood their cost and throughput problems, and turned that into product decisions that drove revenue
* A clear-eyed understanding of trust and explainability requirements for AI-driven automation. You have thought seriously about how to build buyer confidence in autonomous decisions and how to design the progression from human-in-the-loop to full autonomy
* Demonstrable AI adoption in your own working practice: not "interested in AI" but already using it to work differently
* Experience operating within a structured product organisation where strategic direction was set above you, and delivering excellent outcomes within that framework
Preferred:
* Experience taking a product from early traction through to scaled commercial adoption, particularly within an existing platform company where the product started as a feature or add-on and became a standalone line
* Background in compliance operations, financial services or RegTech. Not essential, but understanding what a compliance operations centre looks like will accelerate your effectiveness
* Experience building AI products that automate decision-making in high-stakes or regulated domains, including designing the trust progression from human oversight to full autonomy
* Familiarity with LLM-based agent orchestration, retrieval-augmented generation and the practical challenges of deploying autonomous AI systems in production
What Success Looks Like
At 60 days: You understand the product's current capabilities and roadmap, the competitive positioning, the buyer's cost and throughput problems, and how the operating model works. You have built relationships with your squad, the Product Director, Data Science and key commercial stakeholders. You have a clear, credible view of where the product needs to go next and what will drive the next phase of adoption.
At 4 months: You are driving the product roadmap with confidence: extending autonomous resolution into new workflow areas, deepening capability where the product is already deployed, and supporting commercial conversations with buyers. Your PRDs are clear, your epics pass quality gates, and your squad trusts your product judgement. The Product Director and CPTO have confidence in your commercial judgement and your ability to articulate the ROI case to buyers.
At 8 months: The product is demonstrating growing commercial traction: expanding customer base, increasing autonomous resolution rates, quantifiable cost savings for buyers. You are operating as a genuine GM of your product area: accountable for outcomes, trusted by commercial, respected by engineering, and contributing to the broader Risk Apps strategy.
What’s in it for you?
* Competitive salary aligned to your skills and experience
* Unlimited Time Off Policy- A work-life balance and focus on our well-being are critical to keeping us performing at our best
* We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
* Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
* Annual learning budget to drive your performance and career development
* Company Pension Scheme
* Company Health Care Plan
* Travel - season ticket loan
* Cycle to work scheme with Evans Cycles
About us
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our end-to-end platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz. Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
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