Applied Risk Standards Specialist in Vancouver

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

About the Team The Sales Compliance team is responsible for ensuring revenue assurance and designing effective OTC compliance and controls across DoorDash’s and Deliveroo’s Merchant organization. The Sales compliance team is part of the larger Sales Strategy & Operations team, which accelerates productivity and develops go-to-market strategies and processes to support our sales organization. This group builds the engine and foundation for DoorDash to achieve the best selection for our platform and grow revenues across all business lines. About the Role We are seeking a Manager, Sales Compliance to build the vision and roadmap for DoorDash and Deliveroo’s Merchant revenue assurance program. This role will oversee our key revenue related SOX controls, which ensures all commission rate changes and merchant pricing terms are contractually supported, accurately configured in system, and correctly applied to charges. This role is responsible for overseeing monthly contract-to-system-to-charge reconciliations, investigating exceptions and partnering cross-functionally with product, engineering, accounting, legal and audit teams to remediate underlying root cause issues that help accelerate DoorDash and Deliveroo’s revenue growth. They will also demonstrate operating effectiveness for all order-to-cash controls to Accounting, Internal and External Audit. This role will support all of DoorDash’s and Deliveroo’s marketplace products, business lines and countries/geos. You will report to the Senior Manager, Sales Compliance. This role is hybrid, based in Vancouver, Canada. You’re excited about this opportunity because you will… Own the end-to-end effectiveness of key SOX revenue controls, holding the program to the standard of 100% of merchants charged correctly, 100% of the time Be accountable for the effectiveness of contract → system → delivery-level charge reconciliations, reviewing and challenging outputs to ensure accuracy, identify trends and assess risk areas

About Dialpad Dialpad is the AI platform for customer experience, built to resolve customer problems in real time across voice and digital. Our AI agents learn from your best human agents and improve with every interaction, helping organizations understand their customers, deliver better experiences, increase operational efficiencies, and build a lasting competitive advantage. Unlike legacy systems built to route and answer, or standalone agentic bot vendors built to deflect, Dialpad was built to resolve. Our AI agents and human agents operate on a single platform with shared context, allowing Agentic AI to resolve issues, advance deals, and eliminate busywork through automation while seamlessly handing conversations to humans when needed, with full context preserved. Market-leading brands, including Randstad, Motorola Solutions, Netflix, the San Diego Padres, the Colorado Rockies Baseball Club, and Cal Athletics, trust Dialpad. Dialpad is backed by Andreessen Horowitz, GV, ICONIQ Capital, and T-Mobile. Being a Dialer At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more. We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves. We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic . Your role As an Applied Scientist at Dialpad, you'll be an integral part of our AI team, conducting R&D to power the next generation of autonomous voice agents and delivering features for transcribed voice and chat message data in the business communications domain. We have several research themes, including developing multi