SymphonyAI Financial Services is seeking a Senior Product Manager (AI First) to lead the product vision and roadmap for our Sensa Investigation – the central case management, workflow, and analyst experience layer across our financial crime and compliance portfolio (ie., AML Transaction Monitoring, KYC, Sanctions, Fraud and extending across the Compliance and Risk framework).
This role is ideal for a hands-on, AI native product leader who deeply understands financial crime investigations and disclosures, and is excited to re imagine the end to end investigation lifecycle using AI and Agentic AI – from alert triage and case creation through investigation, collaboration, decisioning, disclosure/reporting, and post case learning.
You will own the product strategy for Sensa Investigation, define and deliver an AI first analyst experience, and drive cross functional execution with engineering, design, data science, go to market teams, and customers.
Job Description
Key Responsibilities
Product Vision & Strategy
- Define and continuously refine the product vision, strategy, and multi year roadmap for Sensa Investigation as the core investigation and case management platform for SymphonyAI Financial Services.
- Develop a clear AI first and Agentic AI strategy for investigations, spanning intelligent alert triage, dynamic case assembly, automated evidence gathering, recommended actions, draft decisions, and disclosures.
- Translate market trends, regulatory developments, and customer feedback into a cohesive, differentiated product strategy that aligns with SymphonyAI’s platform and portfolio direction.
- Define the role of Sensa Investigation within the overall product suite (screening, monitoring, KYC/CDD, fraud, market surveillance, customer risk rating, entity resolution, etc.) and ensure tight product integration.
Domain & Customer Leadership
- Act as a domain expert and trusted partner to our customers on AML TM, KYC, Sanctions, Fraud, and Financial Crime investigations – including typologies, investigative workflows, adverse media, escalation rules, quality assurance, and governance.
- Deeply understand investigation and case management processes (e.g., Level 1 / Level 2 / Level 3 investigations, referrals, escalations, quality checks, audit, closure, SAR/STR/SMR filing, regulatory disclosures, and post case reviews).
- Engage regularly with compliance officers, investigation teams, operations leaders, and technology stakeholders at Tier 1 and Tier 2 financial institutions to understand pain points and validate concepts.
- Maintain a strong understanding of global regulations and expectations impacting investigations (e.g., BSA/AML, FATF, OFAC, EU AML directives, sanctions regimes, fraud and consumer protection regs, surveillance regulations).
AI & Agentic AI Productization
- Partner with AI/ML and data science teams to define AI powered investigation capabilities, including:
- Intelligent case creation, clustering, and prioritization.
- Agent driven evidence gathering across internal and external data sources.
- AI copilots for investigators (guided investigations, recommended next steps, narrative generation).
- Automated/draft disclosures and regulatory reports (e.g., SAR/STR narratives, supporting documentation, decision rationales).
- Continuous learning from case outcomes, QA feedback, and regulatory changes.
- Define Agentic AI patterns and use cases for autonomous or semi autonomous workflows (e.g., auto closure of low risk alerts, pre investigation triage, periodic review workflows, negative news investigations).
- Own the balance between AI innovation, explainability, controls, and regulatory defensibility – ensuring all AI driven features meet standards for transparency, auditability, and human in the loop oversight.
- Collaborate with platform and engineering teams to align Sensa Investigation capabilities with the underlying AI platform, data fabric, ontologies, and workflow engines.
Product Execution & Delivery
- Translate strategy into clear, prioritized product roadmaps, epics, and user stories with crisp acceptance criteria and measurable outcomes.
- Lead backlog grooming, sprint planning, and release scoping in close partnership with engineering, UX, and data science.
- Drive the end to end product lifecycle – from concept and discovery through design, build, test, launch, and iterative improvement.
- Collaborate with UX to design intuitive, high performance analyst and manager experiences – dashboards, queues, case views, timelines, evidence workspaces, investigation notebooks, and reporting.
- Ensure the product meets the needs of complex enterprise deployments – including multi jurisdiction and multi business unit operations, configurable workflows, permissions, data residency, and extensibility.
Stakeholder & Go‑To‑Market Collaboration
- Partner with Sales, Customer Success, and Solutions teams to support strategic opportunities, customer workshops, RFP responses, and demos. Own the pricing, packaging, ROI narrative and competitive differentiation, ultimately driving revenue growth
- Provide product expertise and positioning to Marketing for messaging, collateral, and thought leadership (whitepapers, webinars, conference talks).
- Work closely with Implementation and Professional Services teams to ensure that Sensa Investigation is deployable, configurable, and scalable in real world environments.
- Define and track product KPIs and customer value metrics (e.g., case handling time, investigation quality, consistency of decisions, SAR/NFA mix, productivity uplift, AI adoption and impact).
What Success Looks Like (First 12–18 Months)
- A clear, multi release roadmap for Sensa Investigation that is understood and endorsed by internal stakeholders and key customers.
- Delivery of high impact AI and Agentic AI features that demonstrably improve investigation efficiency, quality, and consistency.
- Strong customer adoption and satisfaction, with Sensa Investigation recognized as the primary console and workflow engine for investigators across multiple domains.
- Documented value stories and case studies around productivity gains, improved disclosure quality, and risk outcomes enabled by the platform.
- A clear feedback and learning loop between customers, engineering, and AI teams that continuously improves both product capabilities and underlying models.
Candidate Profile
Experience
- 7+ years of product management experience, with significant time in financial services, regtech, or fintech, ideally focused on financial crime or compliance products.
- Deep practical exposure to case management and investigations workflows in one or more of the following domains:
- AML transaction monitoring and investigations
- KYC/CDD and periodic reviews
- Sanctions and name screening investigations
- Fraud investigations (payments, cards, digital channels)
- Trade/market surveillance or conduct risk investigations
- Experience building and shipping AI‑powered enterprise products, preferably involving intelligent workflows, recommendations, copilots, or autonomous/agentic components.
- Proven track record of driving complex B2B or SaaS products from concept to successful market adoption across multiple releases.
- Experience working with global banks, broker‑dealers, insurers, or large fintechs, understanding their governance, risk, compliance, and technology landscapes.
Skills & Competencies
- AI‑First Product Mindset:
- Ability to think from first principles about how AI and Agentic AI can reshape the investigation lifecycle, not just add point features.
- Comfort working with LLMs, ML models, retrieval systems, and orchestration frameworks, and translating these into user‑facing capabilities and requirements.
- Domain Depth in Investigations & Disclosures:
- Strong understanding of how investigators work day‑to‑day: data they consume, tools they use, pain points in existing case management and workflow tools.
- Familiarity with the end‑to‑end disclosure lifecycle (e.g., SAR/STR narrative standards, supporting documentation, internal approvals, regulatory expectations around timeliness and quality).
- Product Leadership & Execution:
- Demonstrated ability to own a product area end‑to‑end, set direction, and lead cross‑functional teams.
- Strong skills in requirements discovery, prioritization, trade‑off decisions, and stakeholder management.
- Data‑driven decision maker, comfortable with defining metrics, experiments, and success criteria.
- User‑Centric & Design‑Oriented:
- Passion for creating best‑in‑class analyst and case manager experiences that reduce friction, cognitive load, and operational risk.
- Ability to work closely with UX to turn complex workflows into simple, powerful, and intuitive experiences.
- Communication & Influence:
- Excellent written and verbal communication skills, including the ability to explain AI‑driven features and constraints in business terms to non‑technical stakeholders.
- Comfortable presenting to executives, regulators, and senior compliance stakeholders, as well as leading detailed working sessions with investigators and operations teams.
Education
- Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field.
Nice to Have
- Experience with Agentic AI frameworks, multi‑agent orchestration, tool‑calling, or workflow engines.
- Background in data platforms, knowledge graphs, ontologies, or case/intel fusion systems.
- Hands‑on technical background (e.g., engineering, data science, or analytics) or strong technical literacy.
- Prior experience at a regtech, fraud, or financial crime technology provider, or within a bank/financial institution investigation unit.
- Familiarity with cloud‑native SaaS architectures, security and data privacy requirements for regulated industries, and large‑scale enterprise deployments.
- Advanced degree (MBA, MS, or similar) in Computer Science, Engineering, Data Science, Business, or related field.
Why SymphonyAI Financial Services
- Opportunity to transform the global financial crime and compliance landscape by redefining how investigations are conducted.
- Work at the intersection of AI, enterprise SaaS, and highly mission‑critical regulatory workflows.
- Collaborative, high‑impact environment with senior product, engineering, AI/ML, and domain experts.
About Us
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.
Visit here, for more information about how we hire, what’s in it for you, our culture and values
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