Senior Product Manager

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Site Jobgether

Résumé de l’offre

Senior Product Manager

Jobgether recrute un(e) Senior Product Manager (Temps plein · Télétravail). Le poste est indiqué comme accessible depuis Switzerland au sein de l’équipe Product.

Entreprise Jobgether
Mode Télétravail
Contrat Temps plein
Localisation Switzerland

Compétences clés

  • REST
  • Data
  • Management
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À propos de cette offre

Jobgether recrute un(e) Senior Product Manager (Temps plein · Télétravail). Le poste est indiqué comme accessible depuis Switzerland au sein de l’équipe Product.

Compétences et technologies mentionnées : REST, Data, Management.


Description originale du poste

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Manager based in Switzerland.

Lead the product strategy for evaluating and improving the quality of AI-generated advertising creative at scale.
You’ll own the full Evals & Quality product area, from defining what “good” means to building reliable systems that measure it.
The role combines product discovery, measurement methodology, human and automated evaluation, and customer-facing commercial enablement.
You’ll work closely with AI and agent teams to make quality metrics an integral part of how new capabilities are developed and launched.
A key focus will be creating scalable evaluation loops, representative datasets, and judging frameworks for a highly subjective creative domain.
You’ll also translate quality evidence into customer-facing assets, helping demonstrate product capabilities through RFPs, enablement materials, and public evaluations.
This is a remote opportunity for an experienced product leader who enjoys ambiguity, measurable outcomes, fast iteration, and AI-powered products.

Accountabilities

  • Own the overall charter for Evals & Quality, defining the long-term problem, success metrics, priorities, and clear scope boundaries.
  • Define and improve core quality metrics, including first-pass-right performance, evaluation coverage, and regression detection.
  • Own the methodology for evaluating creative quality, including quality rubrics and calibration processes that maintain alignment between automated judges and human reviewers.
  • Design and manage scalable human quality-control processes, determining where human review adds value and how those judgments can improve automated evaluation systems.
  • Own the golden dataset, including its curation, representativeness across formats and client contexts, versioning, and ongoing maintenance.
  • Build reusable evaluation loops that enable product and engineering teams to evaluate new capabilities independently.
  • Manage the public evaluation experience as a product, maintaining a high standard of usability, credibility, and design quality.
  • Provide quality evidence for commercial activities, including client RFP responses and creative enablement materials.
  • Partner with Agent Architects to establish client-specific quality standards through configurable rubrics and methodologies rather than bespoke evaluation code.
  • Lead the complete product lifecycle, from discovery and hypothesis definition through launch and post-launch review.
  • Establish a consistent practice of documenting hypotheses before releases and reviewing outcomes approximately 14 days after launch.
  • Use customer evidence and product data to influence decisions beyond the immediate product team and continuously improve evaluation practices.
  • Requirements:

    • Demonstrated experience owning a quality, evaluation, experimentation, or ML measurement product with its own roadmap, users, and measurable outcomes.
    • Proven experience defining and measuring quality in a subjective or complex domain where there is no single objectively correct answer.
    • Hands-on understanding of golden datasets, evaluation rubrics, judge calibration, human review processes, and inter-rater reliability.
    • Ability to identify weaknesses in measurement systems and develop practical approaches to improve the reliability and scalability of evaluation signals.
    • Strong product discovery skills, including the ability to understand customer needs, learn unfamiliar domains, test hypotheses, and make evidence-based product decisions before committing to solutions.
    • Experience owning metrics that have influenced decisions outside your immediate team or function.
    • Comfortable working directly with clients, including presenting methodologies, explaining evidence, and responding to questions from buyers and stakeholders.
    • Strong product lifecycle management skills, from discovery and prioritization through launch, measurement, and post-launch learning.
    • Ability to work effectively with technical, AI, data, design, and customer-facing teams in a fast-moving environment.
    • Strong ownership mindset, with a focus on measurable outcomes rather than simply delivering features or outputs.
    • Comfortable making decisions with incomplete information, iterating quickly, and simplifying complex problems into reusable product patterns.
    • Empathetic approach to users and colleagues, with a strong focus on usability, workflow quality, and attention to detail.
    • Genuine interest in AI-powered products, creative technology, measurement, and the evolving challenges of evaluating generative AI outputs.
    • Benefits:

      • Paid time off: 25 days of PTO plus public holidays, within a flexible time-off framework.
      • Healthcare: Health insurance and private medical coverage.
      • Wellness and development: Monthly stipend supporting wellness, fitness, and learning and development.
      • Remote work: Work remotely from anywhere within your home country.
      • Flexible hours: Flexible working hours designed to support different working styles and schedules.
      • Parental support: Enhanced parental leave policies covering birth, adoption, and surrogacy.
      • Office access: Access to a London office location for eligible UK-based employees.
      • AI and product exposure: Work on an AI-powered product focused on generative AI, creative technology, evaluation, and advertising.
      • International environment: Collaborate with multidisciplinary teams and customers across global markets.

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