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Senior AI Enablement

About

Swan is Europe’s embedded banking specialist. We empower software companies to embed banking features like accounts, cards, and payments directly into their products, under their own brand.Swan processes over €1.5 billion in monthly transactions for more than 150 companies—like Pennylane, Indy, Agicap, Libeo, and Lucca. Founded in 2019, the company has received growth capital from leading investors such as Lakestar, Accel, Creandum, Bpifrance and Eight Roads. Swan is a principal member of Mastercard and a licensed financial institution, regulated by the French banking authority (ACPR).

Our mission

Banking belongs in business software

Many software companies already serve small businesses incredibly well: helping them send invoices, run payroll, manage inventory, and more. They’re on a mission to become the central hub for managing every aspect of business life.

But when it comes to financial workflows, there’s still a gap. Too many critical tasks like managing cash flow, tracking payments, or reconciling accounts happen outside the software, across spreadsheets, email threads, banking portals.

It’s a missed opportunity. Business software shouldn’t just record financial activity — it should run it.

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

Preferred Experience

✨ 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.

Recruitment Process

  1. Prescreen with Talent Acquisition

  2. Culture & Technical Fit Interview

  3. CTO Interview

  4. Peer Interview with a future team collaborator

Additional Information

  • Contract Type: Full-Time
  • Location: Paris
  • Possible partial remote
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