Technical Engagement Lead, Red Ventures

• 8+ years of software engineering experience, including experience leading multi-team engineering organizations and direct experience managing engineering managers in client-facing, consulting, or embedded operating models
• Proven ability to operate in regulated environments with strong security, privacy, compliance, and governance requirements; financial services experience strongly preferred
• Demonstrated experience defining technical strategy and platform architecture for complex, multi-workstream engagements—not just executing within them
• Strong command of modern web and cloud-native technologies (React, Next.js, Node.js, Python, or equivalent) and cloud platforms (AWS, GCP, or Azure), including CI/CD, observability, automated testing, and infrastructure-as-code—with the architectural judgment to guide teams without writing code daily
• Experience designing and governing integrations across APIs, third-party platforms, customer data systems, and enterprise applications at scale
• Executive-level communication skills: comfortable presenting technical strategy, tradeoffs, and investment recommendations to VP+ client audiences and translating between engineering and business contexts
• Track record of building high-performing engineering teams—hiring, developing managers, establishing operating rhythms—while managing engagement economics including scoping, staffing strategy, SOW contribution, and aligning delivery to commercial outcomes
• Experience in Agile delivery environments with cross-functional partners, with strong judgment balancing speed, scalability, maintainability, and delivery risk across competing priorities

Desirable

• As a Technical Engagement Lead – Director, you will own the technical strategy, engineering operating model, and delivery outcomes for a major client partnership, leading a multi-team engineering organization embedded within the client’s technology ecosystem
• You set architectural direction across workstreams, develop engineering managers and senior ICs, and serve as the senior technical voice in executive-level client meetings
• This role operates at the intersection of engineering leadership, platform strategy, and client partnership—requiring someone who can define a multi-quarter technical roadmap, align engineering investment to business outcomes, and build an organization that delivers at scale in regulated financial-services environments
• Own the technical strategy, architectural direction, and engineering standards for a client partnership spanning multiple squads and workstreams
• Translate business objectives into a cohesive engineering roadmap with clear investment priorities, sequencing, and decision-making frameworks that maintain consistency without bottlenecking delivery
• Lead and develop an engineering organization of multiple squads, including engineering managers and senior individual contributors, setting expectations for hiring, performance management, career development, and retention
• Design the team's organizational structure—squad topology, ownership boundaries, and autonomy models—to match delivery needs and scale with the engagement
• Serve as the senior technical counterpart to client technical leadership, architecture, security, and platform leadership—building trust, managing escalations, and shaping joint technical strategy
• Manage technology vendor and partner relationships (e.g., Adobe, Salesforce) alongside the client, ensuring alignment on roadmap, integration approach, and support
• Drive platform and data strategy at the engagement level: making build-vs-buy decisions, guiding system integration design, and owning the intersection of engineering and customer data flows across internal and client systems
• Present technical roadmaps, architecture decisions, risks, and investment recommendations to senior client and internal executive audiences using KPIs and operating metrics that connect engineering investment to acquisition, retention, reliability, risk reduction, and revenue impact
• Identify and prioritize technical debt, platform risk, reliability gaps, and scalability constraints, balancing long-term platform health against near-term feature velocity
• Drive adoption of emerging engineering capabilities, including AI-assisted development workflows, intelligent QA and observability automation, and AI-powered product features where they create measurable delivery or business value
• Build repeatable engineering processes, knowledge systems, and delivery frameworks that scale across the team and can be leveraged across RVGT engagements