Senior Director, Technical Product Management – AI Quality & Evaluation

🕒 il y a 5 jours

🏄 California, Washington – Distant

🏄 California – Remote ☕ Washington – Remote

💵 $218 400 - $365 200 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

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Salesforce

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10 000+ employés

Fondée en 1999

💼 Conseil

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Salesforce est la plateforme de gestion de la relation client (CRM) la plus fiable au monde, conçue pour réunir les équipes marketing, commerciales, de commerce, de service et IT afin d'améliorer les relations avec les clients. Elle propose des solutions telles que Sales Cloud pour conclure des affaires, Service Cloud pour le support clients, et Marketing Cloud pour bâtir des relations clients durables. Salesforce encourage la croissance des entreprises de toutes tailles avec sa plateforme complète, dotée d'agents d'IA autonomes et de données unifiées. L'entreprise soutient l'apprentissage grâce à son programme Trailhead, qui offre des parcours guidés pour développer des compétences sur Salesforce, numériques et relationnelles. Plus de 150 000 entreprises font confiance à Salesforce, qui se distingue non seulement par sa technologie, mais aussi par son engagement à créer de meilleures pratiques d'affaires et des communautés.

Description

• Build the next generation of Agentforce within Salesforce’s entrepreneurial incubation team • Shape product strategy for AI quality and evaluation • Establish how AI progress is measured, including quality definitions, evaluation requirements, coverage priorities, and release criteria • Set product strategy and roadmap connecting customer needs, technical opportunities, and measurable business outcomes • Make investment tradeoffs across customer quality improvements, evaluation capabilities, and product features • Lead customer investigations and experiments into incorrect agent answers and failed tool-driven workflows • Define expected behavior and partner with researchers and engineers to test changes and validate customer impact • Build an operating approach connecting customer feedback, evaluation evidence, experiments, releases, and learning • Partner with researchers, applied scientists, and engineers to design credible evaluations • Lead delivery of capabilities that help customers understand and improve AI performance • Coach product partners, junior designers, and technical program managers • Bring verified competitive insight into strategy and communicate differentiation, limitations, and investment choices • Independently take quality problems from failure analysis through experimentation and customer validation • Deliver a focused feature with engineering and improve release and investment decisions through evidence and product judgment

🎯 Exigences

• Record of building AI/ML products and delivering measurable customer outcomes, with increasing ownership, scope, and impact • Deep hands-on experience building AI agents and evaluation capabilities with AI researchers, applied scientists, or AI engineers • One to two years of substantive generative AI experience can be sufficient when supported by strong AI/ML fundamentals and demonstrated impact • Strong applied AI/ML judgment across model behavior, prompting, retrieval, agent/tool workflows, and tradeoffs among model, data, system, and product improvements • Current hands-on ability to inspect data and traces, prototype with coding agents, and reason about experiments, overfitting, training/test splits, edge cases, and uncertainty • Ability to define quality for a non-deterministic system and challenge technical conclusions • Experience establishing shared standards and resolving cross-team disagreements while preserving accountability and delivery momentum • Evidence of coaching and mentoring colleagues without reporting authority • Ability to deliver independently in a fast-moving environment • Clear communication with customers, technical teams, and senior leaders • Preferred: evaluation platforms, agent systems, AI observability, retrieval, or enterprise AI products • Preferred: experience in an AI-native startup or entrepreneurial environment • Preferred: hands-on prototyping with coding agents and customer-facing performance or outcome experiences • Preferred: leading initiatives across research, engineering, product, and customer-facing organizations

🏖️ Avantages

• Time off programs • Medical insurance • Dental insurance • Vision insurance • Mental health support • Paid parental leave • Life insurance • Disability insurance • 401(k) • Employee stock purchasing program • Certain roles may be eligible for incentive compensation and equity • Reasonable accommodation during the application or recruiting process

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