Jobs at impact.com

Establish and maintain data governance for Salesforce and internal tools: define ownership, enforce data quality, manage master data and metadata, ensure compliance, lead cleansing and stewardship programs, implement governance tools, and collaborate cross-functionally to align data strategy and support audits and release cycles.

Own the technical vision, architecture, and roadmap for impact.com’s QA platform. Build and operate developer tools, frameworks, CLIs, MCPs, AI agents, and full-stack applications used across engineering. Set quality standards, evaluate and adopt technologies, develop distributed production systems, and lead technically through influence. The role requires hands-on software engineering, expertise in backend and infrastructure systems, experience with LLM-based tools, and a track record of platform or developer-tool adoption.

Build and maintain internal marketing applications, AI agents, orchestration frameworks, knowledge graphs, LLM evaluation systems, and workflow automations. Integrate third-party AI and SaaS tools, develop RAG and conversational AI solutions, and create analytics pipelines. Document technical and prompt-engineering work for nontechnical users, translate complex concepts into accessible guidance, and collaborate with marketing enablement teams and leadership to deliver business solutions.

Manage and support assigned client accounts during onboarding and early growth stages. Advise brands on affiliate and partner strategy, monitor account performance, conduct check-ins, build relationships, provide product training and support, and coordinate technical issues and feature requests. The role requires strong digital marketing knowledge, critical thinking, communication, prioritization, conflict resolution, and cross-functional collaboration.

Manage and optimize large-scale MySQL infrastructure across Google Cloud and AWS. Responsibilities include high availability, failover, backups, disaster recovery, query optimization, performance tuning, monitoring, security, capacity planning, upgrades, multi-cloud deployments, and infrastructure-as-code. The role also administers secondary database platforms, develops operational runbooks, supports incident response, collaborates with engineering teams, and mentors junior database professionals.

Develop and execute performance-driven creator strategies for brands across APJ. Recruit, onboard, coach, and support creators through platform training, relationship management, and community-building initiatives. Analyze campaign performance, conversion rates, engagement, and ROI to improve incentives and mechanics. Collaborate with product and operations teams to advocate for creator needs and enhance the platform experience.

Owns the end-to-end creation and distribution of benchmark reports, survey studies, and first-party data content. Translates research findings into compelling narratives, editorial briefs, visual storytelling, and publish-ready long-form content for marketers. Coordinates email, social, design, lifecycle, sales, and customer success enablement while maintaining citation, editorial, and AIO/GEO standards. The role also develops AI-assisted content workflows and optimizes performance through post-launch reporting.

Own marketing analytics reporting and business reviews supporting go-to-market investment decisions. Translate business questions into actionable analyses, partner with marketing, sales, finance, product, customer success, and analytics engineering teams, and improve dashboards and reporting tools. Analyze campaign performance and business trends, contribute to data modeling, and independently manage analytics workstreams using SQL, Python, BigQuery, dbt, and Looker.

Manage and grow agency and technology partner accounts across ANZ, driving referrals, pipeline, bookings, customer acquisition, cross-sell, and upgrades. Deliver partner onboarding, education, training, enablement, marketing initiatives, workshops, and business reviews. Collaborate with Sales, Marketing, Customer Success, and Publisher Development teams while maintaining accurate CRM records and achieving revenue targets.

Owns feature development and outcomes for Action Processing and Contracting products. The role defines requirements, success metrics, prioritization, and roadmaps; partners closely with Engineering, Design, Customer Success, and Product Marketing; manages backlogs and releases; analyzes source data; and makes tradeoffs in complex systems. The PM is expected to use AI tools and agents to build prototypes, scripts, analyses, and other artifacts while driving customer and business value.

Own focused product feature slices for Action Processing and Contracting, translating ambiguous customer and business needs into clear requirements, user stories, acceptance criteria, and Markdown specifications. Partner with engineering, design, customer success, and product marketing to prioritize backlogs, manage delivery, identify risks, support launches, and track outcomes. The role emphasizes technical fluency, AI-assisted product work, fast execution, customer empathy, and growth under Senior Product Manager coaching.

Drive full-cycle sales across Spain, from prospecting and pipeline generation through product demonstrations, consultative selling, contract negotiation, and internal handoff. Own territory and revenue targets, manage stakeholders, address enterprise objections, maintain accurate SFDC records, and support forecasting. The role requires strong presentation, analytical, communication, networking, and value-based selling skills, with regular work from the Madrid office.

Own and develop TB-scale batch and streaming data pipelines and platform infrastructure using Spark, Kafka, Pub/Sub, Airflow, and BigQuery. Responsibilities include reliability engineering, SLOs, monitoring, incident response, performance and cost optimization, security and governance, data quality, CI/CD, documentation, and mentoring. The role is based in Cape Town with a hybrid schedule.

Manage and develop a Columbus-based customer support team, ensuring KPI and SLA performance, quality, coaching, and accountability. Own escalations, operational processes, reporting, recruitment, and cross-functional collaboration across global regions. Lead adoption of AI and automation to improve support efficiency while maintaining high-quality customer interactions. The role requires experience in high-volume support or BPO operations, CRM and QA tools, data-driven management, and strong communication skills.

Own the taxonomy and classification data foundation supporting benchmarking, recommendations, personalization, and reporting. Responsibilities include designing and maintaining taxonomies, auditing data quality, tracking classification KPIs, resolving systematic misclassification, and building monitoring. The role also co-owns the prototype-to-production workflow from BigQuery to SingleStore, reviews schema changes and pull requests, documents decisions, and communicates findings to engineering, data science, and business stakeholders.

Own client onboarding for new accounts by configuring and launching integrations, leading technical discovery, proposing solutions, troubleshooting issues, and ensuring accurate implementation metrics. Manage client communications, training, documentation, stakeholder alignment, and issue escalation while partnering with Solutions Architects, Client Success, and internal teams. The role requires customer-centric technical communication, web technology knowledge, AI experience, and the ability to manage implementation projects on a SaaS platform.

Supports Marketplace Growth through lifecycle campaign planning, automated communication workflows, AI-enabled process improvements, data analysis, A/B testing, and copywriting. The intern will help optimize email, in-app, and push campaigns while monitoring activation and engagement metrics. The role involves cross-functional collaboration with Product, Marketing, Customer Success, and Data Science teams in a six-month hybrid internship.

Supports Account Executives as a pre-sales technical resource for SMB opportunities. The role gathers prospect requirements, designs solutions and integrations, delivers tailored product demonstrations, answers technical implementation questions, documents solutions, and escalates complex needs. It serves as a product expert connecting business requirements with the platform’s capabilities and helps position prospects for successful onboarding. Candidates need foundational API, JavaScript, and marketing technology knowledge, strong communication, and 1–3 years of experience in a tech-focused SaaS or digital marketing role.

Lead data science research and production development for attribution, identity resolution, tracking quality, and incrementality measurement. Design experiments, build and monitor production pipelines, evaluate third-party identity vendors, and develop ML and graph-based solutions. Translate technical findings into recommendations for Product, Engineering, and leadership while shaping measurement strategy and build-versus-buy decisions.

Manage strategic customer accounts for impact.com’s commerce partnership platform. Drive platform adoption through training and consulting, lead account plans and executive reviews, identify renewals and expansion opportunities, analyze program performance, coordinate technical escalations, and communicate client feedback to internal teams. Proactively mitigate churn risks while building long-term relationships and helping global brands scale partnership ecosystems.