Director of Engineering
Speedinvest is a European venture capital firm that invests from seed to growth stage (Series B to pre-IPO), backing founders with sector-specific expertise and a large network of operational support. It leads the majority of its initial investments and continues to support portfolio companies through multiple follow-on rounds as they scale.
About Speedinvest
Speedinvest is a pan-European venture capital investor with specialist investment teams organized around core sectors including AI & Infra, Climate Tech & Industrial Tech, Deep Tech, Fintech & DeFi, Health & Bio, and Marketplaces & Consumer, alongside a dedicated Growth team writing checks from Series B to pre-IPO. The firm emphasizes leading with conviction and long-term capital from day one, leading 85% of its initial investments, participating in 100+ follow-on rounds each year, and backing 70+ Series A companies over the past four years. Speedinvest works with startup founders across Europe and beyond, providing not just capital but network access and growth support, and counts companies like Bitpanda, Moove, cylib, Tide, Gigs, Upvest, and GoStudent among its portfolio.
Skills
About the Role
You will own the technology roadmap for Ongoing Monitoring, covering fraud, financial risk, AML, AI workflows, tooling, and automation. You will build and deploy autonomous multi-agent workflows for alert investigation and initial risk decisions, while developing detection for evolving AI-enabled fraud threats. You will ensure systems are auditable, explainable, and aligned with AML and data privacy requirements. You will lead engineering organisations across India, Eastern Europe, and the UK, and partner with Product, Data, AI, Risk, and Operations to improve modelling, deployment speed, and operational efficiency.
Requirements
- 15+ years of engineering experience
- 5+ years in Director or Senior Director leadership roles
- Experience with supervised and unsupervised models, decision trees, neural networks, and Large Language Models
- Hands-on experience with multi-agent orchestration frameworks such as LangGraph and AutoGen
- Deep understanding of fraud vectors and AML typologies
- Experience detecting deepfakes, synthetic identities, and prompt injection attacks targeting financial systems
- 5+ years building and deploying production-grade risk-scoring environments at scale
- Experience with fintech risk and compliance tooling, including AML, fraud, financial risk, SARs, KYX, and agentic AI detections
- People leadership skills
- Experience with cloud-native architectures, microservices, event-driven systems, data platforms, and AWS or GCP
Responsibilities
- Set the technology strategy and roadmap for fraud, financial risk, AML, AI workflows, tooling, and automation
- Build autonomous multi-agent workflows that investigate alerts, retrieve external data, reason through cases, and make initial risk calls
- Develop detection for bot swarms, deepfake-powered KYC bypass, algorithmic fraud loops, impersonation scams, APP fraud, account takeover, and banking fraud
- Ensure AI systems are auditable, explainable, and aligned with global AML directives and data privacy standards
- Build engineering organisations across India, Eastern Europe, and the UK
- Partner with Product, Data, AI, Risk, and Operations to improve predictive modelling and agentic AI capabilities
- Champion AI and machine learning opportunities that reduce operational cost and friction
Benefits
- Share options
- Generous annual leave in addition to bank holidays
- Paid maternity, paternity, and adoption leave
- Paid and unpaid sabbatical options after milestone years
- Private family health insurance with OPD coverage and top-up options
- Accident and life insurance
- Access to therapy sessions, courses, meditations, and workshops
- Paid volunteering and personal-growth days
- Annual learning and development budget
- Work from abroad for up to 90 days annually
- Home office setup contribution
- Laptop ownership and replacement
- Office snacks, coffee, tea, and lunch where location-dependent
