Jobs at StackAdapt

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 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.

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.

Lead StackAdapt’s internal AI platform team, overseeing platform-scale onboarding of APIs, UIs, and knowledge systems. Own the LLM evaluation pipeline, partner with product and feature teams, establish AI UX patterns, architect scalable APIs and backend systems, and ensure production performance. Hire and mentor full-stack engineers, promote engineering best practices, conduct code reviews and interviews, prioritize roadmaps, and contribute code to high-impact technical initiatives.

Partner with Account Executives and cross-functional teams to sell StackAdapt's marketing technology portfolio to enterprise marketers. Own pipeline, source and close opportunities, lead executive discovery and demos, develop account strategies, and act as a subject matter expert on customer data, AI-powered marketing, journey orchestration, and measurement.

Leads and scales StackAdapt’s eCommerce new-business sales organization across North America. Responsibilities include developing outbound sales processes and playbooks, managing pipeline and forecasting, coaching Sales Directors and Account Executives, partnering with Marketing and Revenue Operations, improving lead quality, adopting AI-enabled sales technologies, and representing the company at industry events. The role builds a predictable revenue engine through disciplined execution, account-based selling, and cross-functional go-to-market leadership.

Owns advanced reporting, dashboards, data analysis, KPI development, ETL requirements, and data quality initiatives for internal stakeholders. The role delivers recurring and ad hoc reports, builds automated workflows, documents data definitions and processes, communicates insights to senior leaders, and supports BI sprint planning. Strong SQL, data visualization, stakeholder communication, and systematic data quality problem-solving are required.

Provide legal support for commercialization and product development of an AI-powered ad tech platform: draft and negotiate commercial agreements, manage IP portfolio and complex IP litigation, advise on AI, data, and privacy matters, counsel product teams on compliance and IP protection, and develop automated legal workflows.

Manage programmatic advertising campaigns across multiple channels, including trafficking, pixel implementation, QA, pacing, optimization, troubleshooting, monitoring, and performance reporting. Collaborate with Client Services and Sales teams, provide campaign setup expertise, translate performance insights into recommendations, and develop scalable best practices for high-quality campaign execution.

Develop and maintain automated and functional tests covering API, UI, integration, system, and regression scenarios. Integrate scalable test automation into CI/CD pipelines, collaborate with engineering and product teams, provide test feedback, and contribute to technical planning and code reviews. The role also involves testing edge cases, compatibility, concurrency, backend systems, and large relational datasets using SQL.

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.

Own the vision and roadmap for StackAdapt’s Attribution stack, including click-through, view-through, CTV, ABM, and other attribution models. Partner with major clients and cross-functional teams to define needs, align stakeholders, create product specifications, and guide engineering, design, and QA delivery. Translate complex data and identity-resolution constraints into product decisions, use experiments and analytics to drive iteration, and develop measurement products that increase customer engagement.