人工智能生态系统合作伙伴经理
Partner Manager, AI Ecosystems
Apollo.io 是收入团队的领先市场进入解决方案,全球超过 50 万家企业和数百万用户信赖该平台,从快速发展的初创公司到世界最大的企业均在使用。自 2015 年成立以来,该公司是 SaaS 领域增长最快的公司之一,截至目前已融资约 2.5 亿美元,估值达 16 亿美元。Apollo.io 为销售和营销团队提供对全球 2.1 亿个 B2B 联系人和 3500 万家公司的验证联系数据的便捷访问,并提供工具在一个统一平台上与这些联系人互动并促成转化。通过帮助收入专业人士找到最准确的联系信息并自动化外联流程,Apollo.io 将潜在客户转化为客户。Apollo 在 2023 年完成了 D 轮融资,由顶级投资机构如 Sequoia Capital、Bain Capital Ventures 等支持,并拥有 Hubspot 前总裁兼首席运营官 JD Sherman 等董事会成员。
Apollo 是 AI 代理生态系统中使用最广泛的平台之一——如今可通过 Claude、ChatGPT、Perplexity 以及越来越多的代理和无头界面进行访问。这个生态系统正在实时重塑:MCP、技能和插件已经开辟了全新的集成、协作和合作界面,这些在十八个月前还不存在,而“合作伙伴”在这个领域中的含义仍在随着基础模型能力的发展而定义。这个职位负责管理 Apollo 在这一前沿领域的拓展:加深与我们目前合作的基础模型公司、代理框架和 AI 原生平台的关系,并识别我们尚未参与的界面。
**你将负责:**
**1. 主导并深化 Apollo 的前沿 AI 合作关系**
- 主导 Apollo 与基础模型公司、代理框架和 AI 原生平台的关系——包括 Apollo 已经合作的以及尚未合作的
- 深化现有平台合作关系:扩大覆盖范围,提升展示位置,加强集成,并在他们的路线图演进过程中获得真正的发言权
- 持续扫描市场,寻找 Apollo 应该参与的新界面,并为下一步投资建立依据
- 主导合作伙伴评审、认证和合规流程(例如应用商店/插件提交),并在合作伙伴的反馈循环停滞或缺乏具体细节时推动解决。
- 推动变现策略
查看英文原文
[Apollo.io](http://apollo.io/) is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. [Apollo.io](http://apollo.io/) provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, [Apollo.io](http://apollo.io/) turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members.
Apollo is one of the most-used data and go-to-market platforms inside the AI agent ecosystem — reachable today through Claude, ChatGPT, Perplexity, and a growing list of agent and headless surfaces. That ecosystem is being rewritten in real time: MCP, skills, and plugins have opened entirely new surfaces for integration, collaboration, and partnership that didn't exist eighteen months ago, and what a "partnership" even means in this space is still being defined as foundation model capabilities evolve. This role owns that frontier for Apollo: deepening our relationships with the foundation model companies, agent harnesses, and AI-native platforms we already work with, and identifying the surfaces we're not yet part of.
**What you'll do:**
**1. Own and Deepen Apollo's Frontier AI Partnerships**
- Own Apollo's relationships with foundation model companies, agent harnesses, and AI-native platforms — both the ones Apollo already works with and the ones it doesn't yet
- Go deeper with existing platform relationships: more surface area, better placement, tighter integration, and a real seat at the table as their roadmaps evolve
- Continuously scan the landscape for new surfaces Apollo should be part of, and build the case for where to invest next
- Lead on partner review, certification, and compliance processes (e.g., app store/plugin submissions) and drive resolution when a partner's feedback loop stalls or lacks specifics.
- Drive monetization strategies within each partner surface — identifying where usage, credit consumption, or connector adoption can be grown, and building the plan to convert platform reach into revenue
**2. Build the Next Generation of Apollo Surfaces**
- Partner with platforms — and often multiple ISVs at once — to design and ship new plugins and skills that make Apollo genuinely useful to people running it headless, not just technically accessible via API
- Work with Apollo's own R&D team to translate what a partner's surface can support into what Apollo should actually build for it
- Treat every new surface (an MCP server, a skill, a plugin, an agent tool) as its own product decision: what it should do, who it's for, and how it gets discovered
**3. Stay on the Frontier**
- Track foundation model and agent-ecosystem developments as they happen — this category has no fixed playbook, and the right way to partner with it changes as model capabilities change
- Translate what's changing in the market into a point of view Apollo can act on before it becomes obvious
- Be the person internally who can explain, credibly, what's actually happening in this space and why it matters for Apollo's partnership strategy
**Minimum Qualifications**
- 5+ years in technology/API partnerships, developer relations, or a closely related technical partnerships role, ideally touching foundation model, agent, or AI-native platform ecosystems
- Genuine technical fluency: comfortable in API docs, MCP concepts, and integration architecture discussions with both a partner's engineering team and Apollo's own R&D
- Demonstrated ability to track and make sense of a fast-moving, still-forming category — you can explain what's changed in the last month and why it matters
- Comfortable working multi-party: coordinating a partnership that involves a platform and one or more other ISVs at the same time
- Experience working in a category with no established playbook — you build the process and the point of view as you go
**Preferred Qualifications**
- Existing relationships or experience with foundation model companies, agent harness platforms, or the broader AI-native/builder ecosystem
- Experience designing or shipping an MCP server, skill, or plugin — yours or a partner's
- Background in developer relations, technical partner management, or a product-adjacent partnerships role at a SaaS or platform company
The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process.
Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits.
Tier 1 Pay Range (San Francisco, New York City, Seattle)
$140,000—$175,000 USD
Tier 2 Pay Range (All other US Locations)
$120,000—$150,000 USD
#### We are AI Native
Apollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here.
#### Why You’ll Love Working at Apollo
At Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we **take extreme ownership** of our work, **move with focus and urgency**, and **learn voraciously** to stay ahead.
We invest deeply in your growth, ensuring you have the resources, support, and autonomy to **own your role and make a real impact**. Collaboration is at our core—we’re **all for one**, meaning you’ll have a team across departments ready to help you succeed. We encourage **bold ideas and courageous action**, giving you the freedom to experiment, take smart risks, and drive big wins.
If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you.
Learn more [here!](https://www.apollo.io/we-are-apollo)