Product Complaints Analyst 2 in Vancouver

At Asana, we believe AI represents the future of work, and APIs are at the heart of how AI connects with the tools where work happens. Asana’s API team owns the gateways that enable data flow into and out of Asana, whether via the public API used to build new apps and agents or our MCP server that enables LLMs to take action in response to natural language. Asana’s rich developer platform and app ecosystem help ensure we can support every use case out there–no matter how big or small the team, and no matter which tools or workflows they use. We’re looking for a staff-level Technical Lead to drive execution and technical vision for our developer platform. Our API team has huge, cross-cutting scope: one day you’ll be partnering with Product to define what a great agentic experience looks like and contributing to the direction of industry-wide protocols, the next you’ll be setting best practices for exposing new Asana functionality via the public API and architecting foundational changes to our API’s core feature set and frameworks, all while mentoring the engineers and developer advocates on the team. If you care deeply about building an agentic future for the enterprise and leading high-performing engineering teams, then we’d love to hear from you! This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Set the technical strategy for the API platform within Asana and advocate for engineering-driven investments, with a vision for keeping our systems flexible and maintainable Drive the team to continually and holistically better itself, enabling the engineers around you to deliver at a high velocity

Platform administration isn't the part of the product anyone screenshots for a demo. Nobody's writing a blog post about your identity provisioning flow. But it's the thing every other team at Diligent quietly depends on more than any other dev team in the company and when it breaks, everyone notices immediately. If that kind of quiet, high-stakes ownership sounds appealing rather than thankless, keep reading. This role is for someone who wants real skin in the game: you build it, you ship it, you support it. We're a high-initiative team that improves things we see first and asks permission later, building secure, event-driven microservices in TypeScript on AWS, and treating infrastructure as code the same way we treat application code: with rigor, not as an afterthought. Here's a breakdown of what you'll do (not all of it, just the important stuff) Design and build secure, scalable full-stack services using AWS serverless tech (Lambda, SQS, API Gateway) — with real attention to event-driven patterns and observability, not just "does it work on my machine." Own your services in production. That means building good observability, keeping an eye on alerts, and responding to them before they become bigger problems. Build infrastructure as code with AWS CDK and push for CI/CD that ships safely and often — not "big bang" releases you have to pray over. Design RESTful APIs other teams will actually want to consume: clear contracts, sane versioning, no surprises. Write tests — unit, integration, end-to-end — as part of how you build, not a chore you do after. Show up to architecture discussions with opinions and documentation, not just vibes. Use AI tools to move faster on coding, debugging, testing, and research — but you're still the one who validates the output. These are the essentials you'll need to get an interview 2-3 years of professional software engineering experience in an agile, full-stack-focused environment. Solid full-stack fundamentals: request lifecycles, d

Position Overview As a Senior Staff Software Engineer on Diligent's Platform AI team, based out of our technical center of excellence in Vancouver, you will drive the architecture and technical direction of the services that bring AI research and models into production across Diligent's global product suite. You will partner with AI researchers, product managers, and Staff Engineers as peers — leading through influence across the Platform AI organization rather than through reporting authority, on secure, scalable AWS Serverless solutions that translate ML and LLM research into commercial-quality, production systems. Key Responsibilities Drive technical direction and architecture for ML/LLM systems across multiple AI platform teams, partnering with Staff Engineers rather than managing ICs in isolation. Design secure, scalable, fault-tolerant AI/ML solutions using AWS Serverless technology — event-driven, highly observable, with infrastructure as code. Evaluate and prototype new AI technologies (LLM frameworks, model providers, agentic tooling) to guide build-vs-buy decisions across the organization. Serve as the go-to contact for architecture problems and questions across the Platform AI org, and regularly present and guide architecture discussions department-wide. Mentor Staff Software Engineers and Applied Scientists through constructive code review and design partnership. Collaborate with Applied Scientists and Product teams to productize AI capabilities, translating multi-quarter AI strategy into execution roadmaps and representing engineering's perspective to senior leadership. Design, build, and scale search and retrieval systems — including OpenSearch and semantic/vector search — that power discovery, retrieval-augmented generation, and other AI-driven product features. Lead through ambiguity, helping teams navigate undefined problems to successful delivery. Required Experience/Skills 10-15+ years of professional experience developing and owning high-scale, s

About the Team DoorDash is building the future of local commerce through New Verticals, including grocery, convenience, retail, and other emerging categories. Our International New Verticals team supports the growth and development of these businesses across Canada, Australia, and New Zealand (“CANZ”). Our team partners across Operations, Product, and Finance to develop strategies that support sustainable growth across Canada. About the Role We are hiring a data-driven and entrepreneurial Associate Manager, International New Verticals Strategy & Operations to lead strategy, experimentation, and go-to-market execution for fulfillment cost and profitability initiatives. Your primary focus will be initiatives that improve costs and variable profit and the long-term economics of our New Verticals businesses. This may include dasher and operational efficiency, pricing accuracy, and other product or platform investments. You will own initiatives across the full product lifecycle: defining the problem, sizing the opportunity, developing and executing solutions, and measuring results after rollout. You’re excited about this opportunity because you will… Develop strategy. Use insights, market context, data analysis, and financial modeling to identify and prioritize opportunities that improve the unit economics of our international New Verticals businesses.Lead experimentation. Design and execute pilots and experiments, partnering with Analytics, Product, Engineering, Finance and Accounting to develop robust cost / profitability problem statements, define success criteria, and translate findings into product and operations recommendations.Own end-to-end execution. Lead initiatives from initial planning through rollout, including defining the target audience, positioning, market readiness, operating changes, communications, training, dependencies, and launch timelinesAnalyze performance and influence decisions. Build SQL-based reporting and analytical frameworks to e

The Asana Marketing team fuels business growth across revenue marketing, product marketing, brand, content, advertising, and lifecycle programs. We build campaigns, content, and experiences that drive impact at scale. As our Senior Copywriter, you will be the definitive creative voice across Asana's Brand Creative team—shaping how the brand speaks across every channel, medium, and moment that matters. This is a leaderful role as much as a writing role: you will define and steward our brand voice, set the standard for copy quality across the creative team, and bring language to life across campaigns, performance ads, sizzle reels, demo video scripts, and more. You will work at the intersection of strategy and craft—partnering closely with art directors, designers, producers, and cross-functional stakeholders—to translate briefs into work that is sharp, original, and unmistakably Asana. You will also be a teacher and force multiplier: codifying our voice in frameworks and guidelines others can apply, mentoring colleagues, and raising the bar for written communication across the Marketing organization. You bring deep conviction and active curiosity to your work, including a genuine interest in how AI can augment the craft of writing. You know how to use these tools intelligently without sacrificing creative ownership, and you build workflows that help the team move faster without compromising quality or your own originality. This role is based in our Vancouver, BC office with an office-centric hybrid schedule. Along with most Asanas, you’ll work from this office in person on Mondays, Tuesdays, and Thursdays. Most Asanas have the option to work from home on Wednesdays and Fridays. If you're interviewing for this role, your Talent Acquisition Partner will share more about the in-office requirements. What you'll achieve Define, steward, and evolve Asana's brand voice: building the guidelines, frameworks, and reference materials that make great writing scalable acros

Senior Analytics Engineer The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call . As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements . What you’ll achieve Own the Gold layer for a given business domain (e.g., PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means,

Work Flexibility: Field-based Work Flexibility: Field-based Service Area: Prince George, BC (Northern) Shift: Monday – Friday, varying hours dependent upon customer needs Summary: The Associate Field Service Representative conducts analysis of product implementations, modifications and enhancements to product in accordance with specific customer specifications and implementations. In this role, you will troubleshoot problems and issues, determine technical solutions in accordance with product and customer specifications, and recommend actions to company or customer representatives for coordinative product solution. Additionally, you will assess product needs in accordance with customer specifications and act as local on-site representative to the customer's organization What You Will Do: Provide effective, proficient, and timely service and repairs to all customers in direct support of the sales team to ensure optimal customer satisfaction. Adhere to account protocols. Complete fault isolation and maintenance of equipment at account locations. Promote Stryker’s business by recognizing opportunities to fulfill additional customer needs and communicating with the appropriate Stryker personnel for follow up. Provide post sale in-servicing on equipment operation and maintenance. Perform warranty, upgrades, field actions, preventative maintenance, installations, deliveries billable or any other related services required by a client. Follow all administrative duties in a very accurate and timely manner, assist in the development of new service procedures, provide new product information to customers. Maintain an accurate inventory of Stryker equipment and parts. Travel up to 75% of the time to any other Province or Territory within Canada for Field S

Our work informs teams at every level of Asana and drives key roadmap decisions. We partner with Product Design, Product Management, Data Science, and Engineering, as well as business and marketing teams, to develop valuable insights about customer behaviors and attitudes, translating them into actionable recommendations. We think deeply about new areas, help develop and test concepts, and improve products and services once they’ve rolled out. As a Senior Experience Researcher, you will be a strategic partner who not only executes high-impact research but also shapes the research culture to elevate our collective craft. This role is based in our Vancouver office. Day to day collaboration is split roughly 50/50 between Vancouver teammates and San Francisco teammates. Locally, you will work closely with our PLG Adoption teams, specifically partnering with the AI Activations (AIA) and Conversion and Retention (CoRe) teams. Key local partners include Product Managers, Designers, and Engineering leads. We operate with an office-centric hybrid schedule. In-office days are Monday, Tuesday and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you interview for this role, your recruiter will share more about in-office requirements. In this role, you will help shape and scale Asana’s Product-Led Growth (PLG) self-serve business. We recently launched several major new products—including AI Teammates, a Meetings product, and Asana for Client Management (ACM). We are also preparing two more major product lines for launch, which will unlock entirely new workflows and use cases for our customers. Historically, our growth relied on selling more seats or moving customers to higher tiers. Now, we have multiple new growth vectors, from AI credit consumption to these brand new product offerings. You will play a pivotal role in uncovering how to introduce u

We’re looking for a strategic, customer-journey-obsessed leader to take ownership of Asana's website as a driver of product understanding, customer acquisition, and trial conversion. The Web Marketing team partners across the organization to bring Asana's vision to life on asana.com—and we're building the strategic muscle to match our executional strength. In this role, you'll define and champion the digital experience for new and existing customers, shaping how they discover, understand, and engage with Asana's growing product portfolio. You'll work closely with partners in product marketing, organic discovery, paid media, data science, product, engineering, and design to create a site that measurably moves the needle. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Bring end-to-end website strategy for asana.com to life, establishing a customer-journey-led vision for key segments Influence how the site supports product discovery, trial starts, and revenue growth across new and existing audiences Develop the website tactical roadmap by synthesizing qualitative research, user insights, and quantitative data to identify the highest-leverage opportunities for the business. Build deep cross-functional alignment, influencing how teams in PMM, product, engineering, and design contribute to and evolve the digital experience—turning the web into a shared strategic asset. Elevate how the web team operates, shifting from a support model toward proactive, insight-driven strategy that shapes how Asana shows up for customers online. Partner with PMM and product to translate Asana's multi-product

Analytical Engineering Manager The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As an Analytical Engineering Manager, you lead a team of Analytical Engineers who own the data foundations for the business: the Gold layer, canonical metrics, certified dashboards, and semantic layer that make Asana's most important numbers trustworthy, and that make AI-powered self-serve through Claude and Databricks Genie actually work. You sit at the intersection of Data Engineering, Analytics, and Data Science, and you are accountable for whether business stakeholders trust the data in your team's domains and can answer their own questions without routing through your team. This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and t he teams with which you partner . If you're interviewing for this role, your recruiter will shar e more about the in-office requirements . What you’ll achieve Lead, grow, and develop a team of Analytical Engineers: Own hiring, coaching, performance, and career growth, and set a high bar for data-model quality and stakeholder trust. Own the Gold layer and semantic-layer strategy across your team's domains (e.g. PLG, marketing, revenue, NPI/AWM): Your team is accountable for the curated data models, canonical metrics, dashboards, and Genie spaces the business depends on. Treat every recurring insight as a product with an owner, a cadence, and an SLA: Build a catalog of trusted, versioned data products instead of one-off rebuilds. Drive self-serve enablement: Prioritize the Gold tables, governed metric definitions, and metadata that make Claude + Databric

Must be based in Vancouver The role We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on. What you'll do Design and operate our cloud data platform: ingestion, transformation, orchestration and serving. Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage. Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status. Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop. Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring. Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control. What you'll bring Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design. Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator. Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals. You can reaso

Our Security team keeps Asana's employees, users, and customers safe, by proactively addressing threats and fostering a culture of security throughout our product and operations. We are looking for a savvy Security Engineer to join our Blue Team. You will be a foundational member of the security presence in our Warsaw innovation hub, partnering directly with IT, infrastructure, and product teams to ensure we have robust detection and response capabilities. Detection and response here leans on engineering practice. We are investing in automation and detection-as-code to cut down on manual triage, and we are looking for someone comfortable writing and reviewing code as part of that work. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Lead detection, analysis, and response across our cloud and SaaS environments, identity providers, endpoints, and the software supply chain , ensuring timely and effective remediation of security incidents. Investigate and remediate security incidents across cloud infrastructure (AWS/GCP/Azure), identity providers (e.g., Okta), and SaaS environments. Investigate and contain software supply chain and CI/CD incidents , from unauthorized changes in build environments to suspect third-party dependencies (e.g., npm, PyPI). Help build and maintain our detection-as-code infrastructure (e.g., Panther), SOAR automation, and response playbooks, treating detection logic as tested, version-controlled production code. Utilize and optimize security tools such as Panther for SIEM, CrowdStrike for endpoint detection and response, and other security platforms. Cond

You define how the codebase is built. On-site | Vancouver Office – 675 W Hastings St. The Problem We're Solving EviSmart is building the unified dashboard platform where every product surface comes together — the interface lab owners use to manage cases, access analytics, and launch AI-powered tools. It doesn’t have a frontend foundation yet. What exists is a clear product direction, a backend that’s ready to connect, and an engineering team that needs someone to draw the lines before anyone starts building. Why EviSmart 300 people. Two hubs: Vancouver HQ and Manila operations. 145% year-over-year SaaS growth — the market is responding. 28 countries. One platform. The dental industry's Autopilot. An in-house AI model research and development team building proprietary intelligence. Why This Role, Right Now Most senior frontend engineers join products with foundations already in place — someone else made the hard calls, and your job is to build within them. This is the opposite. There is no existing dashboard frontend, no technical debt to inherit, and no architectural decisions that constrain you yet. The person who joins now makes the foundational choices that the entire frontend team builds on for the next several years. The first product milestone is aggressive, the customer base is real and global, and the backend is ready. What doesn’t exist yet is the engineer who sets the direction. A Note from the Team “We’re not looking for someone who needs a clear spec before they can move. We need someone who can audit what exists, make a recommendation, and execute on it. If you’ve been the person who sets the technical direction that your team builds on, and you want to do that at a scale that actually matters, this is that conversation.” — Paolo Kalaw, CEO, EviSmart What You’ll Own Own the React JS / TypeScript frontend architecture for a new dashboard platform — the unified interface where all products connect. De

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

On-site | Vancouver Office – 564 Beatty St About EviSmart EviSmart builds the automation layer that dental laboratories run on. A dental lab is a manufacturing operation. A case arrives from a dentist — a 3D scan of a patient's mouth and a prescription — and leaves as a crown, bridge, denture or night guard. In between sit a dozen manual steps: monitoring scanner portals, retyping cases into lab software, checking scan quality, interpreting handwritten prescriptions, designing the restoration. We automate that pipeline. Our software connects to 15 intraoral scanner portals and more than five lab management systems, pulls cases the moment they arrive, reads the prescription, maps it into the lab's own product catalogue, checks the scan, and routes it to design. We serve roughly 6,000 customers across 28 countries from offices in Vancouver, Manila, Seoul and Shenzhen. The automation works. It does not yet work well enough, consistently enough, to run unattended — and closing that gap is the highest-leverage technical problem in the company. What you'll do Establish measurement. Build per-model, per-customer, per-category accuracy reporting that Product and Sales can act on. Nothing else you do matters until this exists. Build the correction flywheel. Capture the quality-control corrections our customers already make, turn them into structured, versioned training data, and close the loop with human review where confidence is low. Standardize the squads. One deployment path, one evaluation harness, one model and dataset registry across restoration design, scan quality, prescription extraction and agents. Solve multi-tenant model behaviour. Thousands of customer-specific product codes, prescription conventions and unwritten preferences sitting over a shared model base — without building a bespoke model per customer. Take inference to production scale. Move workloads from on-premise to cloud with understood cost per inference and real concurrency headroom. •