Jobs at Awin

Leads the design, development, deployment, and evaluation of machine learning, forecasting, recommendation, and analytical solutions. Partners with Product, Commercial, Engineering, and Data teams to solve business problems, define metrics, build scalable pipelines, and deliver measurable impact. Provides technical leadership and mentorship, promotes model development and governance best practices, and contributes to the data science roadmap.

Own global acquisition and retention of flagship media and publisher partnerships for Awin’s measurement initiative. Lead targeting, senior stakeholder engagement, value proposition development, commercial and legal negotiations, technical onboarding, and verified data activation. Build repeatable partnership frameworks, reference cases, and publisher-facing propositions while coordinating product, legal, privacy, engineering, marketing, and regional teams. Represent Awin publicly at industry events and create measurable advertiser-side value from publisher partnerships.

Leads Awin’s AI product strategy, translating AI capabilities into prioritized roadmaps and measurable business outcomes. Partners with executives on investment decisions, determines build-versus-buy approaches, and oversees adoption, revenue, efficiency, and customer impact. Builds and manages a product team, hires and develops talent, and ensures AI-enabled capabilities move from experimentation into shipped, differentiated product experiences.

Build and scale strategic channel partnerships that generate pipeline and revenue. Identify and win agencies, technology platforms, consultancies, resellers, and influencers; activate existing partner relationships; conduct discovery; co-sell with partners; manage CRM hygiene, forecasting, and commercial targets; and collaborate cross-functionally with Sales, Marketing, Client Services, Product, and Legal.

Leads end-to-end qualitative and quantitative UX research across digital products, from scoping and execution through synthesis and stakeholder alignment. Translates customer insights into product and business recommendations, influences strategy, manages multiple initiatives, supports research operations, maintains an insights repository, and mentors colleagues. Collaborates with Product, Design, Engineering, Data, Customer Success, and Commercial teams in an ambiguous, fast-moving environment.

Manage the full sales cycle for acquiring high-revenue merchants in affiliate marketing. Responsibilities include prospecting, lead qualification, RFI/RFP responses, presentations, negotiations, closing deals, Salesforce pipeline management, target-brand research, and coordinating client integration and launch with internal teams. The role requires consistently meeting sales KPIs and revenue targets in an international environment.

Owns the product and portfolio operating model, including planning cadences, prioritization, governance, dependency visibility, and delivery-readiness standards. Leads and develops Product Operations Managers, implements process and tooling improvements, partners with Delivery Operations and Technical Program Management, and ensures product outcomes are measured and communicated. The role requires hands-on systems thinking, data-informed decision-making, SaaS product development experience, stakeholder influence, and expertise with Atlassian tools.

Lead developer experience, platform engineering, and AI-native development at scale. Define DevEx strategy, modernise AWS platform and FinOps, roll out AI-augmented workflows, own tooling and metrics (DORA/SPACE), and build a high-performing distributed team to improve developer productivity and delivery quality.

Lead the mobile app development team, mentor engineers, drive recruitment, collaborate with product teams, and promote AI-assisted development for continuous improvement.