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Salesforce

Builds cloud software for customer relationships

Partner Development Manager - AI Ecosystem

Business Development & PartnershipsConfirmed live in the last 24 hours
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Three to five years, or equivalent experience, in partner management, partnerships, alliances, or business development at a software, cloud, or AI company, including recruiting and managing technology or independent software vendor partners.
  • Experience recruiting partners, closing partner agreements, and growing partnerships after launch.
  • Experience closing partnerships with AI-native companies building agents, models, or AI developer tools, or with developer platforms, data, or API-first companies, and ability to identify the partnerships closed.
  • A technical background, ideally in AI, through a technical role such as engineering, solutions engineering, or technical product, or hands-on experience building with large language model APIs, AI agents, or Model Context Protocol servers.
  • Working knowledge of how AI agents are built and connected, including large language models, agent orchestration, tool calling, and Model Context Protocol or similar integration standards, sufficient to hold a credible technical conversation with a startup founder or chief technology officer.
  • Experience running many partners or accounts at once with a repeatable process and improving that process as volume grows.
  • Ability to conduct research and work with data, build target lists, use AI tools, and maintain a clean pipeline in Salesforce or another customer relationship management system.
  • Experience organizing events or community programmes and creating clear, persuasive partner materials.
  • Comfort prospecting and cold calling, building something new from a blank page, moving quickly, and taking on more responsibility as the ecosystem grows.

Responsibilities

  • Build a portfolio of AI-native partners outside the United States from zero and run each deal from cold outreach through signed agreement, live integration, and ongoing growth.
  • Build joint value propositions with partner product teams, including how their products work with AIforce, Headless 360, and the Model Context Protocol.
  • Lead partner recruitment conversations with founders and partnership leaders, own each opportunity in Salesforce, agree on partnerships, and close agreements.
  • After signing, run each partnership through joint plans, adoption by Salesforce customers, co-marketing, customer stories, and regular business reviews.
  • Identify partners with potential for larger commercial deals and work with the Senior Partner Development Manager and Partner Solutions team to close them.
  • Map and research AI-native companies by market and category, and maintain a prioritized target list based on customer demand and fit.
  • Prospect weekly through cold calls, cold emails, LinkedIn outreach, warm introductions, venture capital firms, accelerators, and founder communities.
  • Work with Salesforce account executives, solution engineers, and regional sales teams to identify partners customers are requesting.
  • Identify companies already integrating with Salesforce, including through Headless 360 or the Model Context Protocol server, and bring them into the programme.
  • Plan and run partner recruitment events, including founder meetups, AI builder sessions, hackathons, and roundtables, often co-hosted with venture capital firms, accelerators, or Salesforce teams; represent the programme at World Tours and Dreamforce.
  • Create the recruitment toolkit, including pitch materials, one-pagers, programme FAQs, partner case studies, and demo content tailored by market and category.
  • Run onboarding for many partners at the same time through a repeatable playbook, from partner agreement through technical enablement, security review, and AgentExchange listing.
  • Track every partner’s progress in Salesforce, identify where partners stall, and improve the process using templates, automation, and AI tools to maintain high volume and consistent quality.
  • Report on pipeline, partners live, and partner performance, and bring partner feedback to Salesforce product teams.

Desired Qualifications

  • Experience with the Salesforce ecosystem, including AppExchange, independent software vendor partner programmes, or AIforce.
  • Experience at an AI-native startup, AI lab, hyperscaler AI or startup partner team, accelerator, or venture capital firm.
  • Experience building and shipping personal AI agents or integrations, including side projects.
  • Understanding of AI product pricing and sales, including consumption- or usage-based pricing and marketplace revenue share.
  • Connections in the AI startup community outside the United States.
  • Awareness of regulation shaping enterprise AI adoption, including GDPR and EU data residency, the EU AI Act, and requirements in regulated sectors such as financial services.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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