Senior AI Enablement

About

 
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 .

Job description

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.

What You'll Do

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:

Required Experience

• 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

Technical Skills

• 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)

Financial Services & Compliance Knowledge

• 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

Change Management & Leadership

• 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

Communication & Collaboration

• 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.

Key Partnerships

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.

About Swan

• 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 .

Recruitment process

1. Prescreen with Talent Acquisition

2. Culture & Technical Fit Interview

3. CTO Interview

4. Peer Interview with a future team collaborator