Senior Talent Partner, AI and Tech
Listed on 2026-07-21
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HR/Recruitment
Recruiter / Talent Acquisition, Tech / IT Recruiter
Overview
Medallia is the pioneer and market leader in Experience Management. Our award-winning SaaS platform, Medallia Experience Cloud, leads the market in the management of experiences, insights, and actions for candidates, customers, employees, patients, and residents alike.
We believe that every experience is a memory that can last a lifetime. Experiences shape the way people feel about a company. And they greatly influence how likely people are to advocate, contribute, and stay. At Medallia, we are committed to creating a world where organizations are loved by their customers and their employees.
We empower exceptional people to create extraordinary experiences together.
Bring your whole self.
The Role and TeamAn exciting opportunity exists within Medallia's Talent Acquisition Team for a Senior Talent Partner, AI and Tech who is passionate about scaling a global innovator and leader within the AI‑driven experience management industry. Our platform helps the world's leading brands capture signals across customer and employee journeys and transform them into real‑time action using AI and analytics at enterprise scale.
As a Senior Talent Partner, AI and Tech, you will be at the very heart of this mission. You will develop a deep understanding of our business, platform and products and act as a strategic consultant to our senior Engineering and Product leaders. Additionally you will identify, vet, and hire high‑caliber engineering and product management talent across our global footprint. These hires will be critical as we build the next generation of AI‑native platform capabilities to power intelligent automation, orchestration, and decision‑making across our products.
The ideal candidate is a skilled advisor who has had a track record of success owning a portfolio of engineering and product roles requiring AI, Engineering and Data science‑related expertise. If you thrive in a collaborative, smart, and dynamic team that values hiring and candidate experience above all else, we want to connect!
Responsibilities- Full‑cycle Pipeline Management:
Own and drive the end‑to‑end recruitment process for senior and critical Engineering roles across North America, Latin America, and other regions, as required. There will be a focus on: AI/ML Principal Engineers, Platform Architects, and Product Management roles. - Project & Initiative Ownership:
Drive and execute priority talent acquisition projects. This will include a range of initiatives including but not limited to: establishing localized employer branding in LATAM hubs and designing standardized technical assessment frameworks. - Market Intelligence & Talent Mapping:
Conduct proactive research and talent mapping in competitive markets. Provide engineering leaders with real‑time insights on competitor layoffs, talent migration patterns, and salary shifts to guide our approach to hiring in the market. - Process & Tech Stack Innovation:
Continuously evaluate and optimize Medallia's recruiting processes. Participate in testing and integration of productivity tools, automated sourcing copilots, and AI‑assisted workflows to drive sourcing efficiency. - Cross‑Border Compensation Strategy:
Manage and orchestrate complex offer negotiations in alignment with Medallia's global policies. - Data Integrity & Analytics:
Champion data‑driven recruiting by utilizing our ATS (iCIMS) and reporting tools to present pipeline metrics, hiring velocity, and bottleneck analyses directly to leaders at all levels.
Candidates based in the Tysons vicinity will be prioritized as this role is Hybrid, 3 days per week onsite.
QualificationsMinimum Qualifications
- 7+ years of tech recruitment experience within the Technology/SaaS industry
- A clear track record of success hiring core and specialized engineering talent (AI, ML, Backend, Distributed Systems, Cloud/Platform, Data, Dev Ops) and product managers.
- 3+ years of stakeholder management experience with senior and executive leaders in engineering and/or product.
- Demonstrated experience with iCIMS or other enterprise‑grade ATS, with active exposure to AI‑assisted sourcing platforms or productivity tools.
- AI Co‑Creation / Tool…
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