6 publicaciones de empleo destacadas de qa engineer en gràcia barcelona, ct (¡Están contratando!)

Enterprise AI Product Lead
Agilent Technologies Spain S.L. —Barcelona, Barcelona provincia
- Jornada completa
- Máster
- Grado
- Agile
2h
Experienced Software Engineer - Webshop (m/f/d)
MEDIA MARKT SATURN TH SERVICES BARCELONA, S.A. —Barcelona, Barcelona provincia
- Jornada completa
- Español
- Inglés
- Oficina
- Abono gimnasio
Solicitud rápida
16h
Lead Android Automotive Framework Developer
Luxoft —Barcelona, Barcelona provincia
- Español
- Inglés
- Java
14d
AI GTM Engineer
Papaya Global —Barcelona, Barcelona provincia
- CRM software
- Sin necesidad de experiencia
- Máster
Solicitud rápida
Game Developer (Playable Ads)
Smadex SLU —Barcelona, Barcelona provincia
- Jornada completa
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Senior QA Engineer
BidMachine —Barcelona, Barcelona provincia
- Desarrollo de software
- Agile
- SDLC
Solicitud rápida

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Experienced Software Engineer - Webshop (m/f/d)
MEDIA MARKT SATURN TH SERVICES BARCELONA, S.A. —Barcelona, Barcelona provincia
Strong expertise in JavaScript and TypeScript, with deep experience in React. Build and evolve reusable UI components and frontend architectures with a focus on…
Solicitud rápida
16h

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Enterprise AI Product Lead

Agilent Technologies Spain S.L.
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa
Hace 2 horas

Cualificaciones

Derecho
Máster
Grado
Agile
Relaciones Laborales
Inteligencia artificial

Descripción completa del empleo

Job Description

Agilent inspires and supports discoveries that advance the quality of life by providing life science, diagnostic and applied market laboratories worldwide with instruments, services, consumables, application and both measurement and asset management expertise.

The single point of contact for value, scope, and adoption across the pod's use case, and the pod's leader in practice. The Product Lead is the interface to the business sponsor and the person accountable for the use case landing in real workflows, operating two-in-a-box with the business domain lead. Expert-led AI is the operating principle: the domain experts frame the work, and the Product Lead ensures the pod builds what they framed rather than what was easiest to demo.

This is a high-autonomy role. The Product Lead operates a small senior team embedded far from the spine, owns a relationship with a VP-level sponsor, navigates the use case's RACI including Legal, Quality, and IT/Security dependencies where they sit on the critical path, and is expected to surface bad news early and kill criteria honestly. The role carries the pod's dual mandate personally: ship business value, and produce reusable Fabric assets, with neither traded away for the other.

Responsible for

Use case definition and KPI targets, agreed with the business sponsor at approval and tracked honestly through delivery; this includes owning the kill criteria written at approval and recommending a kill or pivot when the data says so.

Scope, sequencing, and the pod backlog: what gets built, in what order, and what explicitly does not, with trade-offs surfaced to the sponsor rather than absorbed silently.

Alignment across the pod and with the spine: the Product Lead is the dotted-line lead for the pod's engineers and the escalation path for dependencies on the data plane, the harness plane, and the cross-functional gates.

Stakeholder management for the use case's RACI, including the Legal and Quality gates on regulated use cases; the Product Lead keeps those gates moving by engaging them early, not by routing around them.

Adoption and value realization: intelligence shipped into the workflow, used by the named experts, with measured outcomes and adoption telemetry; not a demo that impressed a steering committee.

The pod's contribution to monthly portfolio review: honest status, measured value, named reusable assets, and what the spine needs to unblock.

What success looks like in year one

The pod's use case delivering against its committed KPI targets, with value measured in the sponsor's vocabulary and accepted by the sponsor, not only by the CoE.

Adoption demonstrated by named domain experts using the capability in their daily workflow, with telemetry that distinguishes real usage from launch-week curiosity.

At least one reusable Fabric asset from the pod named, certified, and consumed or queued for consumption by another use case.

A business sponsor who would fight to keep the pod, and a pod team that would follow this Product Lead to the next domain.
Primary owner of an enterprise AI solution responsible for managing the full solution lifecycle—from ideation and planning through development, deployment, and continuous iteration.
Acts as the central point for user experience, agile delivery, and cross-functional coordination across design, engineering, QA, and deployment teams
Defines and evolves product features based on user feedback, market research, and emerging technology trends.
Develops and maintains a product roadmap aligned with business goals and customer needs.
Partners with Sales, Marketing, and Customer Success to ensure digital products are well positioned, adopted, and delivering measurable value.
May prepare product documentation, lead enablement efforts, and collaborate with technical teams to prioritize and deliver impactful digital enhancements.

Qualifications

What you bring

AI-era product management with a shipped LLM-application experience; you have taken agentic or RAG products from concept to adopted workflow tool and carry the scars of the adoption gap between the two.

The presence to be the single accountable face of the pod to a VP-level sponsor, and the humility to treat domain experts as the leads; you have run discovery with skeptical experts and earned their engagement.

Experience operating in a portfolio model with explicit kill discipline; you have killed or materially pivoted something you built and can talk about it without flinching.

Comfort with regulated environment constraints as design inputs rather than obstacles; GxP or equivalent exposure is a plus.

Hands-on fluency per the leadership standard: you prompt, compose agents, and read evals yourself, and you can pressure-test your engineers' claims because you have built with the same tools.

Bachelor's or Master's Degree or equivalent. Post-graduate, certification, and/or license may be required.
Typically, at least 8+ years relevant experience for entry to this level.

Additional Details

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.

Travel Required:

10% of the Time

Shift:

Day

Duration:

No End Date

Job Function:

Marketing

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qa engineer empleos en gràcia barcelona, ct

Enterprise AI Product Lead

Experienced Software Engineer - Webshop (m/f/d)

Lead Android Automotive Framework Developer

AI GTM Engineer

Game Developer (Playable Ads)

Senior QA Engineer

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