Swan is the leading European fintech specialized in embedded banking. A laureate of the French government’s selective year list of tech champions, “French Tech Next 120,” we are quickly expanding across Europe.
Over 100 European companies have already seamlessly integrated banking services such as accounts, cards, and payments into their products through our Banking-as-a-Service platform. This approach, known as “embedded finance”, empowers businesses to elevate their offerings and create new revenue streams — often times tripling their revenue!
Our founders’ vision from the beginning was Simplicity: that anyone with a fintech idea at 2 am can visit our website, start building, and buy themselves a coffee with a self-issued card the very next day. That vision has taken us far.
Following a 38M€ Series B round last September, we have been doubling our headcount and already have over 230 Swanees across offices in Paris, Bordeaux, Berlin, Barcelona, Amsterdam, and Milan! If you’re excited about joining a European fintech adventure, Swan is the way!
To learn more about us: About Swan ; Our story.
Swan is building the future of embedded banking—and AI is central to how we'll scale efficiently while maintaining the reliability and compliance our partners expect. We're looking for a Senior AI Enablement to drive generative AI adoption across Swan's business functions (Finance, Operations, Sales, Marketing, Risk, Legal) and deliver measurable productivity improvements.
Reporting to the AI Operations Team Manager, you'll play a hands-on role identifying high-value automation opportunities, designing AI-powered workflows, and driving adoption across the company. As Swan's expert in business AI and automation, you'll partner with teams across the business to unlock real efficiency gains while ensuring compliance, security, and reliability standards are met.
This is an execution-focused role where success is measured by tangible ROI: cost reduction, time savings, accuracy improvements, and sustained adoption.
1. AI Platform Setup & Enablement
Maintain and evolve Swan's AI orchestration platform (n8n, Dust, LangSmith, LangChain) in partnership with Engineering, Security, IT, and Data teams
Define guardrails, monitoring standards, and escalation paths for AI workflows—especially those touching financial data or customer PII
Establish clear handoff criteria for when prototypes must transition to production-grade engineering implementations
Partner with Security and Legal to ensure all AI workflows comply with GDPR, PSD2, PCI DSS, and Swan's data governance policies
2. Business Partnering & Workflow Design
Collaborate with Finance, Operations, Sales, Marketing, Risk, and Legal teams to identify high-value automation opportunities aligned with Swan's profitability goals
Design and prototype AI-driven workflows using low-code tools and prompt engineering—rapid iteration to validate business value
Partner with Engineering/Data teams to build production-grade implementations for high-impact, high-risk workflows
Build reusable templates, playbooks, and workflow patterns to accelerate future automation
3. Financial Services Compliance & Risk
Implement mandatory compliance checks for AI workflows touching customer data, financial transactions, KYC/AML processes, or regulatory reporting
Establish human-in-the-loop requirements for high-risk decisions (fraud flagging, account suspensions, billing adjustments)
Create comprehensive audit logging for AI decisions affecting financial or compliance outcomes
Define error tolerance thresholds (e.g., zero tolerance for billing/payment errors) and incident response procedures
4. Performance Monitoring & ROI
Define and track adoption and ROI metrics: cost per account reduction, time saved, error rate improvement, automation reliability, business impact
Set up performance dashboards and feedback loops to continuously improve workflows
Deliver quarterly business reviews with COO and function leaders showing measurable impact
Target: 3:1 ROI on AI tooling investment within H1 2026
5. Governance, Security & Guidelines
Develop and communicate AI usage guidelines working closely with Legal, Compliance, Security, and DPO
Establish security guardrails: prompt injection prevention, PII redaction, data leakage protection
Define clear policies on data handling, retention, and right-to-explanation for AI decisions
Ensure all production AI workflows meet Swan's reliability standards (99.9%+ uptime, monitoring, alerting)
6. Adoption & Change Management
Lead AI enablement initiatives: training sessions, workshops, "AI champion" communities across business functions
Create internal content (guides, tutorials, showcases) to scale AI fluency across Swan
Act as internal evangelist for AI, building coalitions and securing executive sponsorship
Measure success by sustained behavior change, not just training attendance—target 70%+ weekly active usage
✨ You’re a great match if:
3+ years in business operations, process design, product management, or similar roles
2+ years in fintech, payments, or financial services (embedded banking experience a strong plus)
Demonstrated understanding of financial operations: billing, reconciliation, compliance workflows, KYC/AML is a bonus
Proficient with low-code/no-code automation tools (n8n, Zapier, or similar)
Strong prompt engineering and AI workflow design skills
Comfortable with APIs, webhooks, and basic scripting (you're not a software engineer, but you can build working prototypes)
Understanding of when prototypes need production-grade engineering (monitoring, security, reliability)
Understanding of audit trail requirements and data governance in regulated industries
Knowledge of risk controls and human-in-the-loop requirements for AI decisions
Experience working with Legal, Compliance, or Security teams on technology governance
Proven track record driving technology adoption across skeptical or change-resistant teams—measurable behavior change, not just training delivery
Exceptional stakeholder management—ability to influence without authority
Skilled at building adoption programs: pilot with champions, measure impact, scale successes
Comfortable with ambiguity and building new capabilities from scratch
Excellent written and verbal communication in English
Ability to explain complex technical concepts to non-technical audiences
Collaborative, pragmatic, open-minded, humble, and proactive
Our ideal teammate: Empathetic. Skilled. Frank. We love to challenge each other, and we leave our egos at the door.
You'll work closely with:
Business Function Leaders (Finance, Ops, Sales, Marketing, Risk, Legal): Identify opportunities, co-design workflows, drive adoption
Staff Engineer: Align on AI platform standards, share learnings between engineering and business AI adoption
Data Team: Leverage ML infrastructure for advanced use cases, coordinate on data access
Security & Legal: Implement guardrails, conduct risk assessments, ensure regulatory compliance
It’s okay if you don’t tick all the boxes — don’t let imposter syndrome prevent you from applying! 🙌
Swan is committed to providing a caring work environment for all employees, regardless of age, sex, disability, sexual orientation, race, religion, or belief.
When it comes to recruitment, we’re interested in your work experience, skills, and overall personality. Because diversity makes the workplace stronger and is necessary for Swan’s success, we are intensifying efforts to incorporate concrete actions to help us improve in this area.
Salary Transparency Statement In compliance with the EU Pay Transparency Directive (effective as of 2026), Swan is committed to fair and transparent compensation.
Salary Range: this position is classified as senior in our Product Manager grid. The salary range reflects our internal compensation structure and is based on market benchmarks for similar roles across Europe. For this position we offer a salary between 65.000€ and 80.000€.
Annual reviews: we conduct structured salary reviews each February, considering performance, professional growth, and market positioning.
Questions about compensation? We encourage open dialogue during the interview process.
Meal Vouchers: We provide a Swile card to cover your meals on work days. 🥗
Holidays : 25 days + RTT 🏝️
Transport: Monthly mobility package for employees. In accordance with the company agreement for sustainable mobilities, you can now use your mobility package to pay for alternative commuting modes. 🚇
Health insurance (mutuelle): Alan. This is Swan's health and welfare insurance. 🚑
Sports: Thanks to our partnership with Classpass and Gymlib, you can enjoy advantageous discounts on subscriptions. They offer a wide range of sports activities as well as wellness activities. The offers are valid in several European cities, as well as online. 🏋
Hybrid remote policy: We offer the possibility of working from home for 2 days per week. 🏡
Offsite: Once a year we gather to reconnect, deep-dive into big topics, and relax. 🤝
This isn’t a perk, it should be the rule, but diversity and inclusion are important at Swan. We’re working hard to get better every day.
✨ Our values:
Swan’s core values guide our actions daily. Individually, they may seem obvious, but together, they form a unique culture.
Simplicity: Leonardo Da Vinci said: “simplicity is the ultimate sophistication.” If something's convoluted or confusing, we work extra hard to break it down. - Making complex things simple is what we do.
Long Term: We always play the long game, whether it's to support our partners in their growth journey, or make tangible commitments to climate action.
Excellence: We are a team of experts who consistently go all out to create pixel-perfect banking services and exceed our partners' expectations— whatever it takes.
Be Human: We believe in the power of kindness and the importance of acting with integrity. But embracing our humanity extends beyond interpersonal interactions, it means caring about greater issues that affect our planet.
You can find out more about our culture.
Culture & Technical Fit Interview
CTO Interview
Peer Interview with a future team collaborator
RevOps Roles analysis
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Swan is a European Banking-as-a-Service (BaaS) provider that enables businesses to embed financial features—such as accounts, cards, and payments—into their products via APIs and white-label interfaces. It serves fintechs, software platforms, and enterprises across Europe.
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