AI R&D & Effectiveness Lead
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), AI Business & Operations
AI R&D & Effectiveness Lead
Smadex is a leading mobile and CTV advertising technology company founded in Barcelona and acquired by Entravision in 2018. We deliver performance marketing campaigns for apps, games, and brands through our proprietary DSP, powered by advanced machine learning and real-time optimization.
As Smadex scales its AI capabilities, we are building agents, automating workflows, and making increasingly complex decisions about where AI investment is genuinely worth making. To lead this, we are hiring our first AI R&D & Effectiveness Lead - a technically rigorous, commercially grounded practitioner who can evaluate what is worth building, make the business case for it, and build it to a production standard.
This is a foundational R&D role at the intersection of AI engineering, business analysis, and operational strategy. You will not just evaluate AI tools - you will run the decision framework that governs Smadex's AI investment, and you will build the agents, integrations, and automated workflows that power it. This is a full-time position based in Barcelona.
Key Responsibilities- Build vs Buy - ROI Decision Framework
- Own the evaluation process for every AI initiative: agent, query/report, engineering build, hybrid, or native platform add-on - applied consistently before anyone writes a line of code
- Produce rigorous ROI analyses for AI investment - quantified, tracked against actual outcomes, and iterated over time
- Maintain the build vs buy evaluation across core platforms (Salesforce, Slack, PowerBI, Notion, Hibob, Saleshood etc) - assessing native AI features versus custom builds for each use case
- Work alongside the SVP to stress-test recommendations before they are presented to business stakeholders
- Production-Grade AI Development
- Design and build AI agents, webhook integrations, MCP connections, and agentic workflows to production standards
- Apply security-first and efficiency-first principles to every build: least privilege, observable outputs, sustainable maintenance overhead
- Produce clean, well-documented solutions that others can understand, maintain, and build on - not black-box prototypes
- Own the technical handover to the Enablement Lead for every build that goes into operational use
- AI Capability Management
- Maintain the AI capability matrix: which models and tools are approved for which use cases, with documented rationale
- Continuously benchmark new capabilities against Smadex's actual use cases - not generic industry benchmarks
- Track model and tool end-of-life proactively; recommend transitions before performance degrades
- Keep the team from quietly running on outdated or cost-inefficient models
- R&D and Innovation
- Own the forward-looking R&D function: horizon scanning, prototyping, and translating emerging AI capabilities into Smadex-relevant proof of concepts
- Lead structured innovation initiatives - hackathons, rapid prototyping sprints - working cross-functionally to generate and validate ideas
- Brief the team and Enablement Lead on what is coming in the AI landscape that is relevant to Smadex's commercial and operational context
What we are looking for
- 4–7 years of experience in AI engineering, solutions architecture, technical product, or a similar hands-on builder role
- Production AI build experience: agents, automations, API integrations, or agentic workflows shipped to a real production environment - not just prototypes
- Security and efficiency mindset: designs for least privilege, observable outputs, and maintainability from the start, not as an afterthought
- Strong analytical capability: able to construct an ROI framework, quantify trade-offs, and communicate a build recommendation clearly to non-technical stakeholders
- Familiarity with the business SaaS ecosystem:
Salesforce, Slack, Notion, or similar - and how AI layers onto commercial and operational workflows - Bonus:
Experience with MCP architecture, webhook design, or agentic workflow patterns - Bonus:
Background in adtech, DSP, or programmatic - domain fluency shortens the calibration period - Bonus:
Exposure to AWS Bedrock or equivalent managed AI services - A portfolio of things you have actually shipped carries more weight than any…
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