Springer Capital is a forward-thinking investment firm building cutting-edge AI-driven solutions for wealth managers and advisors. Our mission is to redefine how financial professionals leverage technology for compliance, client engagement, and growth. We're not here to "experiment" with tech — we're here to lead with execution, scale, and impact.
The Role
We're looking for a CTO who has been in the trenches, not just someone who can talk big-picture strategy. You'll own technology vision + execution, scaling our AI/ML platforms, and leading world-class engineering teams. You'll translate Springer Capital's business strategy into a robust, secure, and scalable tech stack that powers our growth.
This isn't a "figure it out slowly" job — you'll be expected to hit the ground running, making high-stakes architectural decisions and building a team that can ship.
Key Responsibilities
Technology Leadership
Define and execute Springer Capital's tech strategy aligned with business goals.
- Evaluate and select architectures (SQL, vector DBs, LLMs, multi-cloud, RAG pipelines, etc.) with an eye on scale, compliance, and cost-efficiency.
Product & Engineering Execution
Oversee end-to-end development of AI-driven products (compliance automation, CRM integrations, advisor tools).
- Implement bulletproof DevOps & CI/CD pipelines for rapid, secure iteration.
Team Building & Management
Recruit, mentor, and lead high-performance engineers, data scientists, and DevOps teams.
- Foster a no-excuses, ship-fast culture while maintaining technical excellence.
Compliance & Security
Ensure platforms meet SEC/FINRA standards and industry best practices (data privacy, PII, auditability).
- Bake compliance into product workflows — not as an afterthought.
Executive Leadership
Act as the bridge between technology and the boardroom, translating technical trade-offs into business outcomes.
- Partner with the CEO, CPO, and COO to shape company-wide strategy.
Required Experience
- Proven CTO or VP of Engineering background (you've already scaled a startup or financial platform, not your first rodeo).
Hands-on expertise with:
AI/LLM architecture (LangChain, LangGraph, vector DBs like Qdrant/Pinecone).
- Cloud & infrastructure (Azure, AWS, DigitalOcean, Nomad/Consul, Kubernetes).
- Data security, compliance frameworks (SOC2, SEC/FINRA requirements).
- Track record of building and scaling engineering teams from 0 → 20+ people.
- Ability to balance innovation with enterprise-grade reliability — shipping AI products that don't break in production.
- Strong grasp of financial services tech landscape (CRMs, RIA tools, compliance automation).
Ideal Candidate
- Ruthless prioritizer — you know when to prototype fast vs. when to harden for scale.
- Comfortable saying "no" to bad ideas and holding both engineers and execs accountable.
- Obsessed with metrics: uptime, latency, burn rate, velocity.
- Strong communicator: can talk to engineers, regulators, and investors without losing credibility.
- Entrepreneurial mindset: you've raised, scaled, or exited before — you know the game.