Partner Delivery Advisor Director

Own Company

Own Company

San Francisco, CA, USA

Posted on Jun 2, 2026

Description

About the Role

We're looking for exceptional candidates to join Salesforce's Global Consulting Partner (GCP) organization as a Partner Delivery Advisor. In this role, you'll serve as a trusted delivery expert and strategic advisor embedded within Salesforce's partner ecosystem — empowering our most strategic Global Consulting Partners to achieve best-in-class implementation outcomes across Agentforce and Salesforce's top products.

This is a uniquely high-impact role that sits at the intersection of delivery excellence, AI strategy, and partner advocacy. You'll provide expert implementation guidance at critical points in the delivery lifecycle, proactively identify and mitigate delivery risks before they impact the customer, and serve as a strategic thought partner to both partner delivery leadership and senior Salesforce stakeholders.

A successful Partner Delivery Advisor deeply understands complex enterprise implementation challenges, brings credibility with both technical and executive audiences, and is passionate about driving long-term partner and customer success. You'll play a key role in steering Agentforce and AI deployment strategies within partner-led implementations — guiding partners through responsible AI adoption, organizational readiness, and change management to help customers maximize the value of their Salesforce investment.

This role can be office-based or remote, with a strong emphasis on direct collaboration with partner teams. A high level of personal accountability and the ability to thrive in a high-velocity, dynamic environment are essential.

What You'll Do

Delivery Advisory & Risk Mitigation

  • Provide implementation and technical advisory at key points in time across pre-sale, pre-implementation, and active delivery phases of Salesforce partner-led engagements — covering solution approach, use cases, architecture, and delivery plans.

  • Conduct point-in-time reviews of partner and customer project deliverables (e.g., solution designs, architecture documents, staffing plans) to assess progress, surface risks, and provide actionable recommendations.

  • Proactively identify delivery risks and provide objective, independent assessments of implementation health — helping partners course-correct before issues escalate.

  • Lead critical account recovery efforts in partnership with internal Salesforce teams — including escalation management, corrective action planning, and multi-stakeholder alignment to restore delivery health and protect customer outcomes.

  • Validate partner delivery approaches and drive accountability against agreed implementation milestones and quality standards.

  • Identify staffing gaps or competency constraints within partner teams, and help connect partners with the right resources to address them.

Agentforce & AI Strategy

  • Lead strategic solutioning and oversight for Agentforce and AI-powered implementations within partner-led customer engagements.

  • Guide partners and their customers through Agentic AI strategy and roadmapping, ensuring AI deployment plans are grounded in clear business objectives and measurable outcomes — including adoption velocity, consumption growth, and time to value.

  • Champion Responsible AI principles within partner implementations — including risk mitigation frameworks, guardrail design, bias and safety considerations, and ethical AI usage.

  • Assess customer organizational readiness for AI adoption and support partners in guiding clients through the process and change management required to maximize the value of intelligent agents.

Partner Advocacy & Ecosystem Enablement

  • Serve as a vocal advocate for partner delivery teams, ensuring their challenges and needs are understood, surfaced, and addressed within Salesforce.

  • Help partners navigate Salesforce's internal ecosystem, facilitating access to relevant resources, programs, and tools that support delivery success.

  • Identify and amplify impactful partner delivery success stories to support broader learning and scale programs.

  • Provide guidance and coordination when Salesforce Professional Services is co-deployed alongside partner-led implementations.

Strategic Feedback & Continuous Improvement

  • Serve as a critical feedback loop between field partner experiences and Salesforce's internal product teams — surfacing real-world insights that influence the product roadmap and platform direction.

  • Contribute delivery insights and partner trends to leadership to support continuous improvement of the Partner Delivery Success program.

  • Participate in kick-off and planning sessions at the outset of partner implementations to align on delivery approach, success metrics, and customer consumption plans; participation in internal and/or external QBRs may also be required.

  • Provide input and feedback to help shape Salesforce-led partner practice development initiatives and programs, in partnership with dedicated GCP teams focused on partner capability building.

  • Participate in Partner Advisory Boards and other partner community forums/events as required.

  • Communicate effectively with internal and external leaders and executives across all levels of the organization.

  • Simultaneously manage engagements across multiple partners and projects.

What Success Looks Like

  • Partners you support consistently achieve strong implementation health scores, accelerated time to value, adoption, and consumption for their customers.

  • Delivery risks are identified and mitigated early — before they become customer escalations.

  • Partners feel genuinely empowered, well-guided, and supported throughout their delivery journey.

  • Agentforce and AI deployments in your portfolio reflect best-in-class architecture, responsible AI practices, and measurable business outcomes.

  • Your field insights actively shape product improvements and partner program evolution.

Required Qualifications

  • 5+ years of experience in consulting, technical advisory, program management, or account management — ideally with Salesforce or related enterprise SaaS applications.

  • Demonstrated experience advising on or overseeing the delivery of AI or LLM-based technologies, including Agentforce or equivalent agentic AI platforms.

  • Working technical knowledge of the Salesforce platform — including Core CRM, Data Cloud, Flow, and Salesforce APIs — with the ability to assess architectural approaches and identify implementation risk.

  • Proven ability to identify and mitigate delivery risk across complex, multi-stakeholder enterprise implementations.

  • Exceptional communication, presentation, and influencing skills — including the ability to translate complex technical concepts into clear business terms for executive and C-suite audiences.

  • Proven experience managing executive-level relationships in a strategic advisory or consulting capacity.

  • Strong analytical and problem-solving capabilities; ability to navigate ambiguous, unstructured situations with a solutions-oriented mindset.

  • Experience working within or alongside a Professional Services or managed services environment, ideally within the Salesforce ecosystem.

  • Ability to manage multiple concurrent partner engagements in a high-velocity environment with a high degree of personal accountability.

Preferred Qualifications

  • Hands-on experience with one or more Salesforce products including Agentforce, Data Cloud, Sales Cloud, Service Cloud, Field Service, Marketing Cloud, Revenue Cloud, or Commerce Cloud.

  • Salesforce certifications including: Salesforce Certified Administrator, Sales Cloud Consultant, Service Cloud Consultant, AI Associate, Data Cloud Consultant, and/or Agentforce Specialist. Product-specific certification recommended for your aligned product area.

  • Experience with multiple delivery methodologies; related certifications (e.g., Scrum, PMP) a plus.

  • Demonstrated AI consulting experience including conversation design, responsible AI practices, and prompt engineering.

  • Experience with AI/ML concepts beyond LLMs, such as natural language processing.

  • Experience developing or overseeing AI and conversational solutions in regulated industries (e.g., healthcare, financial services).

  • Baseline knowledge of platform elements such as MuleSoft and Tableau.

  • Competence in both analyzing technical concepts and translating them to business terms, and mapping business requirements to technical features.

For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.