Partnerships Manager - Alexandria

Firecrawl; San Francisco (CA); Hybrid; USD 174,000 - 199,000; Full time

Benefits offered by this job

Competitive equity

Generous PTO

Hybrid SF HQ

Job summary

Firecrawl, a fast-growing AI data infrastructure company, is seeking an Partnerships Manager for Alexandria in San Francisco. You will own inbound and outbound partnerships, drive deal quality from initial contact to listing, and collaborate with engineers on technical evaluations.

The role emphasizes ownership of sources, terms, and speed in a high-velocity environment. You’ll work closely with the Head of Data Partnerships, negotiate commercial terms, and shape the catalog as the team scales.

Qualifications

• You have a track record of sourcing, pitching, and signing deals, with a real CRM and measurable conversion data.
• You can discuss price and structure on a first call without legal input.
• You work well with AI tools and data partnerships in a high-velocity environment.
• You communicate clearly and provide honest status updates.

Responsibilities

• Run the inbound queue and manage the Alexandria waitlist and partnerships inbox.
• Call and evaluate technical requirements before signature with engineers when needed.
• Build an outbound target map based on agent demand and usage data.
• Conduct high-volume outreach with rigorous research and a named-owner pipeline.
• Qualify deals quickly: rights, redistribution, and deal viability.
• Lead principal-to-principal negotiations on terms, rights, and pilots.
• Pre-signing calls to ensure all terms are clear before proceeding.

Skills

Pipeline operator

Term negotiation

AI-native mindset

Urgency and follow-up

Market curiosity

Clear communication

Provider/data partnerships

Job description

Partnerships Manager - Alexandria

Alexandria is the knowledge library we launched in September 2026 alongside our $75M Series B. It gives AI agents one way to discover sources, see what they hold, and retrieve from them: official data providers, publishers, research and government indexes, and the live web. The people who supply that knowledge get paid based on agent demand. Alexandria is three weeks old, and agents are already asking for hundreds of sources nobody has brought online yet.

The supply side is a team of one today. You'll be the first hire on data partnerships, working with the Head of Data Partnerships and the Alexandria engineers. This is supply-side deal work, not channel partnerships and not reselling. You own two motions: the providers who come to us, and the long tail of sources agents want, taken from first conversation to a listing agents call every day. You own outcomes, not a queue: which sources come online, how fast, and on what terms. As the catalog and the team scale, you grow into owning a provider category outright, and the team that works it.

Salary Range: $174,000–$199,000 USD/year

Equity Range: Competitive equity. Details shared during the process.

Location: Location: San Francisco, CA (SF HQ). Hybrid, onsite 3+ days a week.

Job Type: Full-Time

Experience: 3+ years

Work Authorization: Must be authorized to work in the United States. We're not able to sponsor US visas right now, though that may change down the line.

About Firecrawl

Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It's the boring-hard problem everyone building with LLMs eventually hits, solved.

In September 2026 we raised a $75M Series B led by Smash Capital, and we're spending it building the largest repository of knowledge in the world. We hit 8 figures in ARR in year one and more than doubled it in year two. We have 183k+ GitHub stars, putting us in the top 50 repositories of all time, and developers, agents, and category-defining AI companies build on us every day. Growth like this is rare, and we're just getting started.

We're a small team punching far above our weight, working out of SF HQ and our new Toronto Hub. Everyone here owns a real piece of the product and company, end to end, and runs it themselves. No hiding behind process or headcount.

This is a place for people who want to work at the frontier: an AI company building the infrastructure other AI companies run on, not one bolting AI onto an existing product. We move fast, go deep, and are building the tools superintelligence will rely on to gather data from the web. That library is called Alexandria, and it starts now.

What You'll Do

• Run the inbound queue. Own the Alexandria waitlist and the partnerships inbox. For each one: is it supply at all, which partner type, how many agents want it, who holds the rights, and is a partnership the right way to bring it online. Decide what becomes a deal, what waits, and what we pass on, and say why.

• Call the technical evaluations. Decide when a source needs one before signature, and run it with the Alexandria engineers when it does.

• Work the outbound target map by agent demand. Our usage data says which sources agents request and can't get. That decides who you go after first.

• Run outreach at volume, with research behind every touch. Reach the partnership owner, not the sales desk. Keep a real pipeline: every deal in a named state, with an owner and a next step.

• Qualify fast. Who holds the rights, whether redistribution is on the table, and whether there's a deal at all, before anyone spends a call on it.

• Pitch principal to principal. Paid, attributed access to agent demand they can't reach on their own.

• Negotiate the deal. Commercial terms, attribution, usage and redistribution rights, pilot scope. The framework says what's normally on the table; you decide what to trade, what to hold, and when a provider is worth going outside it, bringing in the Head and counsel when it is.

• Run provider calls with the questions that matter. Precedent, the gate to yes, rights scope, carve-outs, reporting shape, pilot scope, and the signing path.

• Hand off clean. Every signed provider lands with the Alexandria product engineer carrying everything the listing needs: what the source holds, the endpoints or corpus, the commercial terms, what the terms let the gating enforce, and the provider's technical contact.

• Keep the board honest. Economics and rights captured on every deal past the first conversation, so the live and signed counts mean what they say.

• Sit in on flagship deals. The Head of Data Partnerships carries the big publisher deals; you'll be in the room.

• Feed the product. Bring back what the deals teach: where the catalog has gaps, what makes a source worth paying for, which objections keep recurring, and what providers need from us to say yes.

• Write the playbook as you go. The method we have comes from a handful of deals. You'll find where it's wrong. Fixing it is the job, not a favor.

• Know the market. Track data licensing and agent tooling closely enough to know where the next hundred sources come from. Spend as much time inside the catalog and the MCP as you do on calls.

What We're Looking For

• A pipeline operator. You've sourced, pitched, and signed deals yourself, cold, and you've cleared an inbound queue without letting it rot. You keep a real CRM and can show the numbers on what converted and what didn't.

• Comfortable with terms. You can talk price and structure on a first call without legal in the room. You know which points are yours to trade and which go upstairs.

• AI-native. Agents and coding tools are part of how you work every day. You expect the pipeline, the research, and the follow-up to run with them, not around them.

• Urgency is your default setting. You follow up the same day, close loops, and don't wait for perfect information to send the next touch.

• Curious about the market. You read a provider's docs, pricing page, and public licensing record before the first email, and you know who else they've signed with.

• A clear communicator. Crisp emails, tight calls, honest status updates. You say what's blocked and what's next.

• A background that maps. Provider or data partnerships at a data marketplace or API aggregator. Early BD at a devtools, data, or API company. Building the supply side of a marketplace from the first listing. Content or data licensing, ready for startup speed. A technical BDR who grew into closing your own deals.

What We're NOT Looking For

• Channel, reseller, or alliance managers from enterprise SaaS. This is supply-side deal work, not co-marketing.

• Relationship-only BD who can't open a terminal or read an API reference.

• Someone who needs legal to write every term before they can talk price.

• Corp dev or M&A profiles. We're signing hundreds of providers, not acquiring one.

• Someone who has only managed inbound partners and never built a pipeline cold.

• Someone excited by AI in theory who hasn't actually used agents to do their job.

A Note On Pace

We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings, but this role probably isn't for you.

Benefits & Perks

Available to all employees

• Salary that makes sense: $174,000–$199,000 USD/year, adjusted fairly for location, based on impact, not tenure

• Own a piece: Gain competitive equity in what you're helping build

• Generous PTO: 15 days mandatory, anything after 24 days, just ask (holidays excluded). Take the time you need to recharge

• Parental leave: 12 weeks fully paid, for all parents

• Wellness stipend: $100 USD/month for the gym, therapy, massages, or whatever keeps you human

• Learning & Development: Expense up to $1,000 USD/year toward anything that helps you grow professionally

• Team offsites: A change of scenery, minus the trust falls

• Sabbatical: 3 paid months off after 4 years, do something fun and new

Available to US-based full-time employees

• Full coverage, no red tape: Medical, dental, and vision (100% for employees, 50% for partner and kids). No weird loopholes, just care that works

• Life & Disability insurance: Employer-paid basic life and AD&D, short-term disability, and long-term disability. Coverage for life's curveballs

• Virtual care and a health guide: Teladoc for the couch doctor visit, plus Rightway to answer coverage questions and fight billing errors for you

• Mental health: Talkspace, therapy and psychiatry on your schedule

• Fertility and family building: Carrot, covering you and your partner

• EAP: Free confidential counseling, legal and financial consults, and online will prep through Guardian

• 401(k) plan: Retirement might be a ways off, but future-you will thank you

• Pre-tax benefits: HSA, FSA, and commuter benefits to help your wallet out a bit

• Supplemental options: Extra life and AD&D, accident, critical illness, hospital indemnity, plus pet, legal, and identity protection through MetLife

Available to SF-based employees

• SF HQ perks: Snacks, drinks, team lunches, intense ping pong, and peak startup energy

• E-Bike transportation: A loaner electric bike to get you around the city, on us

Interview Process

Intro Chat (~25 min): A quick conversation to get to know each other before we go deep. We'll talk about what you've been working on, what drew you to Firecrawl, and what you're looking for in your next role. Time for your questions too.

Partnerships Deep Dive (~45 min): Walk us through a deal you built from cold outreach to signature, including the terms you fought for and the one you gave up. Then a live scenario: which providers would you go after first for Alexandria, and how would you get them to yes? We care how you reason and prioritize, not whether you know the "right" answer going in.

Founder Chat (~25 min): Culture, pace, ownership, and how you like to work. Time for your questions too.

Paid Work Trial (~40 Hours): Build a real target provider map, run real outreach, and bring at least one provider to terms with the team, paid at a contractor rate. It's the truest signal for both sides. You see what building at Firecrawl actually feels like, and we see how you operate.

Decision: We move fast after the trial.

If you want to build the library every AI agent reads from, one provider at a time, you should join us.