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Architect and build native iOS and Android financial products using SwiftUI, Jetpack Compose, and GraphQL. Lead mobile architecture, infrastructure, testing, release pipelines, and multi-quarter initiatives while applying AI workflows. Collaborate cross-functionally in a regulated banking environment, resolve ambiguous technical problems, maintain performance and security, and mentor engineers across both platforms.

Designs, facilitates, and evaluates data-driven learning programs for customer experience teams. Responsibilities include instructional design, AI-enabled training, cohort and program management, stakeholder consultation, learner coaching, communications, and learning analytics. The role owns program outcomes, uses Kirkpatrick Model evaluations and KPIs to optimize learning, and mentors learners and junior team members while partnering with senior leadership.

Leads complex, cross-functional strategic programs spanning Customer Experience, Product, Engineering, Data, Design, and Operations. Owns program plans, roadmaps, launch readiness, change management, reporting, and executive stakeholder alignment. Develops AI-enabled operational readiness strategies, translates technical concepts for broad audiences, improves operating models and tooling, and uses data-driven insights to enhance customer experience and organizational efficiency.

Coordinates field, event, and partner marketing programs, including trade shows, conferences, webinars, regional events, sponsorships, and co-marketing campaigns. Manages stakeholders, vendors, venues, budgets, logistics, communications, and on-site execution. Supports marketing reporting and metrics covering registrations, attendance, campaigns, and events while collaborating with sales, finance, legal, and external partners.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.

Build and ship production software for Toast’s retail platform, partnering with engineering, product, and customers. Responsibilities include identifying opportunities, designing and prototyping end-to-end solutions, making foundational technical decisions, incorporating customer feedback, tracking industry trends, and deploying AI-powered experiences. The role supports large grocery and convenience-store customers and may involve visiting stores to understand operator workflows.

Design, build, deploy, and maintain resilient, scalable backend services and platform components for Toast's Voice AI platform. Lead cross-cutting architecture and projects, integrate AI platforms (LLMs), implement observability and evaluation for AI systems, set engineering standards, and mentor engineers.

Develop and execute go-to-market plans for campaign-platform capabilities, translating product functionality into positioning, messaging, sales enablement, training, and adoption programs. Partner with Product, Sales, and Sales Enablement to launch new experiences, understand customer personas, gather feedback, track adoption, and improve commercial impact. Support AI-assisted campaign planning, automation, and evolving campaign initiatives in a fast-paced environment.

Manage client campaigns end-to-end to maximize ROI and drive incremental revenue. Serve as primary client contact, optimize performance, deliver data-driven insights and recaps, pursue upsells/renewals, onboard and train clients, and support account growth while traveling up to 40%.

Architect and build a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional engineering teams on large-scale initiatives, emphasizing scalability, performance, API quality, maintainability, developer experience, and end-user usability.

Own the reliability and quality of an AI copilot for a trading platform. Build evaluation frameworks, benchmarks, quality gates, monitoring, incident response, and model improvement workflows. Partner with engineering and product to create safe, auditable tool interactions and improve assistant behavior. Develop domain expertise in trading, risk, margin, execution, and portfolio reasoning while operating across model, backend, and frontend systems.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Lead hands-on product security architecture across GitLab, including design reviews, threat modeling, systemic risk remediation, security standards, prototypes, and reusable developer guardrails. Partner with engineering and product leaders, secure distributed systems and software supply chains, guide AI coding tool security, mentor security engineers, and influence technical direction through proactive architecture and clear communication.

Lead the technical vision and architectural evolution of Huntress’s Core Platform. Build complex Ruby on Rails features, solve scaling challenges, manage cross-team dependencies, drive architectural decisions, and oversee system lifecycle and technical risk. Mentor engineers, establish engineering excellence, collaborate with managers and product leaders, and help teams adopt AI coding tools responsibly.

Lead the global Revenue Readiness function by establishing its strategy, operating model, governance, learning infrastructure, and multi-year roadmap. Build scalable onboarding, enablement, reinforcement, content, measurement, and change-readiness programs across revenue teams. Advise senior GTM leaders, prioritize investments, coordinate cross-functional initiatives, manage the learning ecosystem, and develop the Revenue Readiness team in a scaling B2B SaaS organization.

Partners with go-to-market leaders to analyze sales performance, pipeline, forecasts, seller productivity, and operational metrics. Leads cross-functional initiatives, improves sales processes, CRM hygiene, CPQ practices, reporting, workflows, and account coverage. Builds executive dashboards and practical recommendations, using Salesforce, spreadsheets, AI, automation, and analytics to improve sales execution and measurable business outcomes.

Own mobile in-app integration onboarding and health, resolve complex technical escalations across platforms, APIs, reporting systems, and SDKs, and use SQL, Excel, and AI tools to analyze data, automate workflows, identify recurring issues, and improve operational efficiency. Partner cross-functionally with Account Management, Product, and Engineering while communicating root causes and driving resolutions.

Manage full-cycle recruiting across People and Finance roles, from search strategy and proactive sourcing through candidate engagement, interviews, and offers. Partner with hiring managers and business leaders, conduct talent market research, provide market insights, maintain recruiting data accuracy, and deliver a responsive candidate and stakeholder experience.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

Leads enterprise workforce transformation as AI reshapes work. Owns productivity measurement, workforce planning, job architecture, role redesign, future-skills development, AI fluency, and responsible AI governance. Partners with the CPO, AI leaders, Legal, Compliance, IT, and functional executives to anticipate workforce needs, guide automation and upskilling decisions, build predictive workforce insights, and drive adoption across the organization.

Manage full-cycle, high-volume engineering recruitment, including sourcing passive technical talent, partnering with hiring managers, assessing culture fit, tracking recruiting metrics, and improving talent acquisition processes. Recruit across Engineering, Data, Machine Learning, and related technical roles while delivering strong candidate and stakeholder experiences and building diverse pipelines in a fast-paced SaaS environment.