Jobs at StackAdapt

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

As a Senior/Staff Machine Learning Engineer, you will design scalable data pipelines, implement ML algorithms, and collaborate with engineers and Data Scientists to optimize the digital advertising platform.

Lead end-to-end mixed-method UX research across multiple product teams, translating ambiguous business questions into actionable insights that shape product strategy, roadmaps, requirements, and design decisions. Partner with Product, Design, Analytics, Marketing, Sales, and Client Services; facilitate workshops; mentor stakeholders; improve research practices and tools; and integrate AI into scalable research workflows.

Own full-cycle recruitment for engineering and product roles, including intake, sourcing, interviewing, negotiation, and closing. Partner with hiring managers to define requirements, build interview plans, manage pipelines in Greenhouse, track recruiting metrics, and improve candidate experience and hiring processes. The role also supports proactive sourcing, inclusive hiring, technical recruiting, stakeholder communication, and process improvement across the talent acquisition function.

Supports Canadian, US, and international corporate tax compliance, ASC 740 income tax provisions, indirect tax workflows, audits, tax payments, forecasting, and financial reporting. The role partners with external advisors, auditors, Treasury, Legal, Accounting, and HR while modernizing tax processes through AI and automation. Candidates should have Canadian corporate tax expertise, CPA credentials or be pursuing them, and 3–5 years of progressive tax experience.

Operate and improve AWS-based infrastructure platforms, including observability, ECS hosting, and workflow orchestration. Build automation, maintain environments, participate in on-call support, troubleshoot incidents, assist engineering teams with deployments and monitoring, and improve reliability and cost efficiency. The role also involves writing runbooks, documenting processes, and making implementation decisions within the Engineering Operations team.

Build customer-facing product experiences for StackAdapt’s self-serve advertiser platform. Own features across the full stack, architect scalable frontend and backend systems, collaborate with Product and Design, and use customer feedback, product data, and experimentation to improve acquisition, activation, and growth. Contribute to technical excellence through code reviews, mentorship, performance optimization, and reducing complexity.

Lead the development, optimization, and production deployment of advanced machine learning algorithms for advertising effectiveness and ROI. Build scalable ML models, write efficient code, collaborate with machine learning engineers, prototype and test algorithms and data pipelines, and drive iterative improvements using historical data and rigorous performance analysis.

Leads full-cycle recruitment for commercial roles through sourcing, interviewing, negotiation, and closing. Manages candidate pipelines in Greenhouse, partners with hiring managers, provides recruitment reporting and insights, resolves process issues, supports diversity and inclusion, and improves candidate experience and hiring practices. Handles multiple requisitions while maintaining candidate engagement and stakeholder alignment.

The Full Stack Engineer will develop features for the advertising platform, collaborate on architecture, perform code reviews, and ensure quality software development.

As a Quality Engineer at StackAdapt, you will develop automated tests, collaborate with teams on CI/CD deployment, and enhance software quality across various testing types.

Leads IT audit planning, execution, and reporting across SOC 1, SOC 2, financial statement, ITGC, and SOX programs. Identifies control gaps, manages remediation, advances IPO readiness, and develops AI-enabled audit workflows. The role coordinates with Engineering, Finance, Legal, and People teams, manages external auditors, and mentors direct reports while improving compliance efficiency and stakeholder outcomes.

Own integrated marketing strategy and execution for B2B and Retail/Commerce verticals. Lead campaign roadmaps, webinars, sponsorships, messaging, cross-functional alignment, performance measurement, and pipeline reporting. Partner with Sales, Product Marketing, Content, Brand, Revenue Enablement, and Marketing Operations to translate business goals and market insights into measurable campaigns. Present recommendations and results to senior stakeholders while strengthening StackAdapt’s position among retail, commerce, B2B, and agency audiences.

Owns end-to-end payroll for six global entities and EOR employees across multiple jurisdictions. Responsibilities include payroll compliance, tax and statutory requirements, reconciliations, controls, variance analysis, audits, provider management, reporting, and issue resolution. Partners with Finance, People Experience, and Legal while supporting payroll transformation, process redesign, data migration, testing, UAT, and Rippling implementation. The role also improves workflows through automation and proactively manages payroll risks.

Process end-to-end Canadian payroll across multiple provinces, including payroll inputs, statutory deductions, remittances, garnishments, reconciliations, year-end T4 activities, and audit documentation. Partner with HR, Finance, payroll providers, and employees to resolve issues and maintain accurate data. Improve payroll controls and efficiency through automation, system enhancements, implementations, integrations, testing, and documentation.

Supports month-end close by preparing journal entries and accruals, reconciling accounts, analyzing variances, maintaining audit-ready workpapers, and validating financial records. Documents and improves accounting processes, including payroll and automation workflows, while collaborating with Finance and cross-functional teams. Uses systems such as NetSuite, FloQast, and Zip and participates in accounting projects.

Own StackAdapt’s B2B and account-based marketing product portfolio from discovery through reporting. Define short- and long-term strategy, build multi-year roadmaps, deliver products with engineering and design teams, and align Revenue, Partnerships, Data Science, and Product Marketing stakeholders. The role requires SaaS product management expertise, AdTech and programmatic media familiarity, CRM and marketing automation integrations, technical fluency in data and attribution, strong prioritization, design thinking, and practical AI judgment.

Operationalize privacy requirements across products, systems, and data flows. Translate legal obligations into technical requirements, coordinate implementation workstreams with Product, Engineering, Data Science, and Security, and monitor privacy controls. Document data flows, retention, deletion, consent, and opt-out processes; manage privacy and tracking tools; test pixels, tags, consent signals, and workflows; and establish repeatable intake, backlog, reporting, and quality assurance processes using AI and automation.

Lead end-to-end design strategy for StackAdapt’s AI experience, including generative interfaces, trust-building interactions, AI evaluation, and complex data-rich workflows. Collaborate with Product, Engineering, Research, Revenue, Client Services, and Leadership to deliver scalable experiences, establish design frameworks, connect decisions to business outcomes, and mentor designers. The role requires strong interaction design, prototyping, information architecture, AI product experience, strategic thinking, and cross-functional communication.

Build and deploy AI agent systems that automate complex business processes. Analyze workflows, design and configure agents, integrate AI with enterprise applications, develop connectors and APIs, and establish evaluation and monitoring systems. The role requires expertise in cloud AI services, LLMs, NLP, Python, integration platforms, conversational AI, RAG, vector databases, APIs, and SQL/NoSQL systems. The engineer will also explore emerging AI technologies and mentor junior developers and system administrators.