AI Partnerships Manager

About [Employer]

[Employer] is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At [Employer], everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median [Employer] customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without [Employer]. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, [Employer] is the place to do it.

About the Role

[Employer] is building a dedicated function to drive its partnerships across the AI ecosystem — labs, AI-native companies, and the investor community — and convert those into real technical and commercial outcomes. This is a newly created, high-visibility role that sits at the intersection of strategic business development, product partnership, and ecosystem relationship-building.

[Employer] is already embedded with key partners across the AI ecosystem, from working with leading labs on the latest models to serving as a design partner for emerging product capabilities. This role exists to deepen those relationships across every major lab and AI-native company, and turn them into something commercially meaningful.

There is no playbook for this.

This person will own and grow [Employer]'s most strategic relationships across the AI ecosystem, leading the technical side of those relationships end to end with partner product and engineering teams. The mandate spans product integrations, technical partnership strategy, deal-making, co-selling, and the creation of new revenue channels, pairing real product and engineering depth with commercial execution and ecosystem credibility.

What You'll Do

• Demonstrate technical depth to lead AI product and integration conversations end to end with partner engineering and product teams.
• Own [Employer]'s relationships with emerging labs and AI-native companies at a true partnership level — not account management
• Be embedded in the San Francisco AI community and know who is actually driving decisions at the labs, not just what the org chart says
• Convert ecosystem relationships into commercial outcomes — referrals, integrations, co-selling, and new revenue channels
• Do both the business development and product/integration work, combining deal-making with genuine technical engagement
• Stay ahead of how leading AI companies are commercializing and going to market, and help [Employer] move with them — and ahead of them
• Represent [Employer] externally across the San Francisco AI community: founders, investors, lab leaders, and operators

What You'll Need

• Deep, trusted relationships at leading AI companies with the people who make decisions and influence direction — not just formal contacts
• Commercial outcomes tied to those relationships, including initiatives with measurable revenue potential and smarter product integrations on both sides
• [Employer] is known and respected across the San Francisco AI community as a must-know fintech partner
• [Employer] keeps pace with — and ideally stays ahead of — how quickly the labs are changing, evolving their go-to-market strategies, and commercializing
• A repeatable business development and product motion built for the AI ecosystem, not a series of one-off partnerships
• An ever-evolving AI partnership strategy that includes sourcing, negotiating, contracting, executing, and growing relationships with leading AI companies

Over the course of a year, success means launching public products, integrations, go-to-market initiatives, and distribution channels with labs and applied AI companies.

Near-term objectives could include inclusion in model-launch announcements and joint product-integration launches. Longer-term goals will incorporate adoption of integrations and revenue targets as distribution partnerships are executed.

Every day will look different, but the work will include meeting with cross-functional stakeholders internally and externally, keeping a pulse on applied AI and the labs, negotiating active contracts, refining and executing [Employer]'s AI partnership strategy, and helping [Employer] get closer to the teams that matter at the top AI companies.

Nice to Haves

• The ideal candidate combines two qualities that are hard to find in one person:Ecosystem connectorDeep personal relationships in the San Francisco AI community — founders, lab leaders, and investors — at a level where people pick up the phone
• Experience working inside or alongside leading AI partners in a way that provides genuine credibility, not just familiarity
• Known and trusted by the venture capital and investor community in AI

Commercial operator

• Has built partnerships from zero at a high-growth company and been accountable for commercial outcomes
• Can do the product and business development work simultaneously — technically fluent enough to engage on integrations and commercially sharp enough to close deals
• Has a builder mindset and can design scalable programs, not just one-off relationships

Key criteria

• Strategic business development — can identify and close partnerships that drive real commercial outcomes
• Technical aptitude — enough depth to hold credible conversations with AI lab and product teams
• Systems thinking — builds scalable programs, not just one-off deals
• Access — personal relationships at the decision-maker level inside labs, AI-native companies, and the investor community

Why this role is exciting

• [Employer]'s AI partners are among the most influential partners any technology company can have right now. Getting this right matters enormously.
• There is no playbook. Anyone who can do something distinctive here will create a significant advantage — for [Employer] and for their own career.
• This is one of the few roles that is genuinely AI-focused at a leading company in AI and technology.
• [Employer] is already embedded with leading AI companies and is ahead of the curve in building this function. The groundwork is there.
• [Employer] will give this person real runway — not a constrained, narrow mandate.

Benefits available to all full-time [Employer] employees (Global)

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed by [Employer]
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more
• Relocation expense coverage to NYC or SF (if needed)

Canada

• Group medical, dental, and vision coverage through Sun Life
• Life, AD&D, and disability coverage
• Fertility drug coverage (up to $4,000 lifetime)
• Group Retirement Plan with employer match (RRSP + DPSP)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite
• Virtual GP and at-home care via eMed x Livi
• Workplace pension through Penfold, with salary sacrifice option
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Beware of recruiting scams: [Employer] will only contact you through official @[Employer].com email addresses and will never ask for payment or sensitive personal information during the hiring process.

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