Level

Apollo.io

Director, Data & Distribution Partnerships

Apollo.io is hiring a Director, Data & Distribution Partnerships for a remote role open to applicants in United States. It pays $220k-$275k a year and Level rates it ; you can apply on Apollo.io.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Databricks, b2b sales and partnerships.
  • Level classifies it as a lead role.
  • Level lists 52 other open roles at Apollo.io.

AI in this role

Lead data reseller business, data partnerships, and innovative distribution strategies as the first Director of Data & Distribution Partnerships.

databricks
b2b-salespartnershipsdemand-generationpricing-and-packaging

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 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 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.

Some of Apollo's biggest growth won't come from our own sales team. It'll come from other people selling or embedding Apollo under their own brand. That's the charter for Data & Distribution Partnerships, a newly created function with three mandates: scaling our data reseller business by hiring and leading a team of data reseller AEs, identifying data partnership opportunities with large platforms and crafting the bespoke commercial arrangements to support them, and uncovering new, innovative distribution partnerships beyond either of those two motions. Across all three, this is more invention than management. You're building commercial models that don't exist yet, not running relationships someone else already defined.

This is a great fit for someone who thrives in 0-to-1 environments: scrappy enough to build the strategy themselves (demand gen, pricing and packaging, marketing, sales process) and execute it personally, but experienced enough to then build and lead the team that takes it from 1 to 10. We're hiring the first Director to build and run it.

What you'll do:

1. Scale the Data Reseller Business

  • Own the volume data-resale P&L end to end: a published SKU with repeatable paper, carried by AEs
  • Hire, coach, and manage the AEs who carry the resale quota
  • Partner with Partner Marketing to fund demand generation behind the reseller business, and find the growth levers that haven't been pulled yet
  • Build a clear point of view on what increased demand gen unlocks and where the upmarket bespoke-deal opportunity is biggest

2. Identify Data Partnerships with Large Platforms and Craft the Bespoke Arrangements

  • Structure and close bespoke data agreements: one-off commercial arrangements with named, high-value counterparties, heavy up front, light after, and built as reusable templates rather than one-offs
  • Build and run discovery marketplace distribution: surfaces where a buyer is already shopping, from data-cloud marketplaces to MCP registries and platform marketplaces
  • Run new, complex BD deals personally, you're expected to be in the room for anything that doesn't fit the existing playbook

3. Uncover New, Innovative Distribution Partnerships

  • Build and run point-of-formation distribution: platforms that sit with a company from the week it's formed, think formation platforms, website builders, and the regional CPA and business-advisory networks that touch companies at inception
  • Within your first six months, arrive at several new distribution "big swings" that are prioritized, sized, and shaped for a resourcing decision
  • This is a build-from-scratch mandate: you'll define the shape of the function, not inherit one

Minimum Qualifications

  • 8+ years in business development, partnerships, or channel roles, with meaningful experience originating and closing complex, first-of-their-kind commercial agreements — not just running an existing partner program
  • Experience managing or coaching a quota-carrying team (AEs, BDRs, or partner managers) while personally closing the deals your team can't yet handle alone
  • Comfortable operating in both modes this role requires: high-volume, SKU-based commercial structures (published pricing, repeatable paper) and heavy, bespoke one-off negotiations with named counterparties
  • A track record of building something that didn't exist before — a new channel, commercial model, or category of partner — rather than optimizing an established motion

Preferred Qualifications

  • Experience with data licensing, API/data-reseller businesses, or platform marketplaces (Snowflake, Databricks, or similar data-cloud ecosystems)
  • Experience with point-of-formation or embedded distribution models (legal tech, business-formation platforms, fintech, or similar)
  • Background scaling a partner or channel P&L from early-stage

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)$220,000—$275,000 USDTier 2 Pay Range (All other US Locations)$190,000—$238,000 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!

How we rate this

Director, Data & Distribution Partnerships at Apollo.io rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

B2b SalesPartnershipsDemand GenerationPricing And PackagingDatabricks

Questions you could be asked

  1. Tell me about a project where b2b sales was part of your work. What did you do?
  2. Tell me about a project where partnerships was part of your work. What did you do?
  3. Tell me about a project where demand generation was part of your work. What did you do?
  4. Tell me about a project where pricing and packaging was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: B2b Sales, Partnerships, Demand Generation, Pricing And Packaging, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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