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.

Lead a backend engineering team owning the creative pipeline for high-throughput, low-latency adtech services. Drive roadmap execution, run agile rituals, mentor engineers, participate in architecture and code reviews, handle incidents and on-call, coordinate cross-team dependencies, and support hiring and onboarding.

Create and publish 3–4 short-form videos weekly across TikTok, Instagram, YouTube Shorts, LinkedIn, and other social channels. Responsibilities include trend monitoring, scripting, filming, editing, on-camera hosting, directing employees, launching TikTok, translating AdTech concepts for broad audiences, and analyzing retention and engagement metrics to improve content performance.

Support technical roadmaps for vertical-specific advertising solutions, including targeting, measurement, testing, and maintenance. Analyze datasets to troubleshoot reporting and pipeline issues, design experiments, develop analytics proof-of-concepts, track performance OKRs, and conduct campaign reporting, market research, and competitor analysis. Collaborate with Product, Engineering, Sales, Marketing, Business Intelligence, and Data Science teams while communicating results to senior stakeholders and clients.

Lead cross-functional initiatives to define and deliver vertical solutions for programmatic advertising and MarTech. Translate business and technical needs, define solution requirements, deliver POCs with data science/engineering, enable GTM, manage project plans and stakeholders, mentor team members, and research market trends to identify revenue and retention opportunities.

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.

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 and grow strategic technology, channel, reseller, and API-driven partner accounts across North America. Develop account strategies, identify upsell and revenue opportunities, expand executive relationships, support partner productization, and translate technical and business needs into actionable recommendations. Maintain pipeline and forecasts in Salesforce while collaborating with Business Development, Product, Data Partnerships, Solutions, and Client Services. Surface partner feedback and operational blockers to internal teams.

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.

Leads operational strategy for emerging and non-programmatic advertising channels. Designs workflows with Inventory Development, builds AI-powered automation, defines KPIs, measures efficiency gains, and maintains inventory guides, sales collateral, support documentation, and knowledge repositories. Partners cross-functionally, communicates with executive audiences, mentors team members, and drives scalable process improvements across StackAdapt’s inventory organization.

Lead the creative quality and direction of AI-powered advertising. Develop concepts, prototypes, workflows, standards, and evaluation methods using generative image and video technologies. Experiment with prompting, models, references, and node-based systems while applying expertise in visual storytelling, filmmaking, composition, lighting, editing, pacing, and sound. Collaborate with creative and technical teams, evaluate emerging tools, document best practices, and coach Creative Studio members.

Executes AI-focused initiatives by improving workflows with custom tools, agents, skills, and prompt libraries. Builds reusable AI solutions, coordinates technical projects across engineering, product, and automation teams, performs SQL-based analysis, and measures operational impact. The role requires translating complex AI concepts into actionable programs, enabling adoption across teams, and collaborating with technical and non-technical stakeholders.

Leads AI-focused technical programs from scoping through deployment and handoff. Partners with Engineering, Product, AI Automation, and business stakeholders to build reusable AI solutions, MCPs, dashboards, data-access tooling, and self-service workflows. Uses SQL and analytics to define impactful metrics, reduce ad hoc data requests, improve operational efficiency, and drive AI adoption across teams.

Owns the roadmap for measurement products, develops new attribution solutions, and guides features from concept through launch. The role requires defining product specifications, identifying market trends, collaborating with engineering, design, QA, data science, and revenue teams, and delivering products that improve customer engagement and demonstrate advertising value.