Envoy Global

Machine Learning Engineer

• Build and scale the ML engineering organization through hiring, pod structuring, and establishing a tech-lead layer
• Mature the organization from ad-hoc experimentation to production-grade delivery through roadmap governance, automated testing, on-call ownership, and clear escalation/triage paths
• Manage, mentor, and grow senior ML engineers and data scientists
• Represent the ML organization to executive and cross-functional stakeholders
• Own technical strategy for document AI, extraction, and agentic systems applied to immigration case documents
• Lead build-vs-buy evaluations for ML capabilities and vendor tools, balancing cost, accuracy, latency, and compliance
• Design and own retrieval and context-optimization strategies including RAG, page/section narrowing, and agentic cross-validation
• Define and own ML systems architecture, including model serving, evaluation pipelines, and feature/data infrastructure
• Deliver measurable business outcomes through cost savings, document/extraction pipeline throughput, and accuracy/quality improvements
• Establish LLM evaluation frameworks and quality bars before production release
• Drive continuous model and pipeline cost optimization
• Partner with Product, Legal Operations, and Case Management leadership to translate immigration workflow requirements into ML-backed product capabilities
• Report ML organization health, delivery, and cost/quality metrics to engineering and executive leadership

Director, Machine Learning

Product Operations

• Own the product strategy and roadmap for Envoy Global's core immigration case management platform
• Partner with architects and engineering leaders on technical direction, platform prioritization, scalability, and build-vs-buy decisions
• Establish and run platform governance forums and define platform health metrics
• Champion API-first and reusable-component thinking
• Own end-to-end product operations processes for planning, prioritization, shipping, and impact measurement
• Build and maintain roadmap reviews, quarterly planning, OKR setting, and release management across product lines
• Administer product tooling, workflows, and documentation standards
• Define and track operating metrics such as velocity, cycle time, roadmap predictability, adoption, NPS, and CSAT; report to executive stakeholders
• Run governance and business reviews, including Product Council, launch readiness reviews, and post-launch retrospectives
• Lead process re-engineering across product, engineering, design, and go-to-market teams; own product manager onboarding and enablement
• Translate immigration case management, compliance, and customer requirements into product strategy and prioritized roadmaps
• Lead customer interviews, competitive analysis, and pain-point mapping
• Manage and mentor product managers and product operations staff in a matrixed organization
• Partner with Sales, Customer Success, and Legal Operations on go-to-market, pricing/packaging, and client delivery
• Deliver executive-level product demos and roadmap reviews to leadership and key clients

VP Product – Product Operations

General Counsel

• Provide legal support to the in-house legal team across multiple jurisdictions in EMEA
• Advise internal teams and triage legal requests, providing practical advice on straightforward matters and escalating complex or high-risk matters
• Assist senior counsel with complex or novel legal matters and projects under supervision
• Draft, review and negotiate commercial contracts, NDAs and related agreements, including in German
• Track contracts, renewals and corporate filings across multiple jurisdictions using trackers and dashboards
• Coordinate with internal stakeholders to gather facts, documents and timelines and follow up on outstanding information
• Provide practical legal input to commercial, finance and operational teams
• Conduct legal research on statutes, regulations, case law and industry guidance and produce structured practical advice
• Improve contract templates, clause libraries and negotiation playbooks
• Assist with corporate records, statutory registers, resolutions, filings, board materials, annual compliance tasks, KYC and due-diligence requests

Director, Machine Learning

VP Product – Product Operations

Junior Legal Counsel