Lone Wolf Technologies

Full-stack Engineer

• Design and build the AI platform layer — the data pipelines, serving infrastructure, and integration patterns that connect ML models to Lone Wolf's products
• Productionize AI/ML capabilities — take models from prototype to production, owning reliability, performance, and scalability
• Architect data pipelines that ingest, transform, and serve data from Lone Wolf's ecosystem to power AI features
• Set technical standards for AI engineering across the Innovation team — define patterns for model serving, feature stores, monitoring, and rollout strategies
• Ensure models are designed for production constraints from the start, not retrofitted after the fact
• Evaluate and integrate AI/ML tooling — LLM APIs, vector databases, orchestration frameworks, cloud AI services — making pragmatic build-vs-buy decisions
• Influence technical direction across engineering teams, providing architectural guidance on how product teams should integrate AI capabilities
• Prototype rapidly when needed — you're comfortable building end-to-end proof-of-concepts to validate feasibility before committing to full builds

Staff Engineer – Innovation

Director

• Own the AI product roadmap. Define, prioritize, and sequence AI-powered capabilities. Balance quick wins against foundational investments.
• Drive discovery and validation. Work directly with brokerages and agents to identify high-value workflows ripe for AI. Run pilots, measure outcomes, and iterate based on real usage — not assumptions.
• Ship proofs-of-concept and MVPs. Partner with our AI engineering team to take capabilities from prototype to validated product. Write specs, define success metrics, and manage the build-measure-learn loop.
• Build the handoff model. Define how innovation-stage work graduates into Lone Wolf's core product teams. Establish clear criteria for when a capability is ready to transition, and partner with existing product leadership to ensure smooth integration. Your job is to accelerate existing product teams, not compete with them.
• Partner across product and engineering. Build strong working relationships with product directors and engineering leaders across Lone Wolf's portfolio. Understand their roadmaps, constraints, and priorities so that Innovation work is additive — not duplicative or disruptive. Proactively share learnings, prototypes, and customer insights that benefit the broader product organization.
• Inform the governance framework. Work with leadership to ensure AI capabilities are deployed responsibly — particularly around data privacy, compliance, and the sensitivity of brokerage financial data.
• Represent the customer. Be the voice of the broker and agent inside the Innovation team. Translate their pain points into product opportunities and ensure what we build actually solves real problems.

Staff Engineer – Innovation

Senior Director, Product Innovation