Finance GTM Associate
Mercor is hiring a Finance GTM Associate in San Francisco, United States. It pays $120k-$130k a year and Level rates it ; you can apply on Mercor.
Level's read on this job
- Little AI ●○○○ is how Level rates this finance role: aI is not part of the work.
- The listed pay starts 14% above the typical finance posting on Level.
- Tools and skills the posting cites include Clay.
- Level lists 85 other open roles at Mercor.
- The role was posted in the last few days.
AI in this role
Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.
We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.
Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.
Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.
What you'll do
Build pipeline using LinkedIn Sales Navigator, Clay, and other prospecting tools to identify, research, and reach financial services firms and decision-makers
Run outbound across email, LinkedIn, and warm intros; write and test sequences, book meetings, and qualify needs for the Finance Client Services Lead
Support deals end-to-end: prep client materials, scoping docs, and proposals, join client calls, and keep engagements moving through procurement, compliance, and security review
Source, vet, and recruit finance experts (bankers, investors, analysts, accountants, and other finance professionals) to staff client and AI-lab projects at scale
Own conversion across client and expert pipelines and keep CRM data clean so we know what's working
Test new client and expert sourcing channels (communities, events, alumni networks) and double down on the winners
Partner with Project Managers, Ops, Legal, Product, and Engineering to deliver high-quality results for finance clients
Turn early wins into playbooks, templates, and processes as the finance book of business scales
1-3 years of experience in investment banking, private equity, consulting, outbound sales, lead generation, or recruiting; finance or finance-adjacent experience strongly preferred
Fluency in how financial services firms work: who makes decisions, what they care about, and how they buy
Strong familiarity with LinkedIn Sales Navigator / Recruiter and other sourcing or prospecting tools
Comfortable driving high conversion rates and managing multiple funnels at once
Excellent written and verbal communication, with the polish to engage senior finance professionals credibly
A track record of thriving in fast-paced, results-driven environments (startups, banking, consulting, or similar)
A scrappy, builder mindset: excited by ambiguity, happy to do unglamorous work, and resilient against ambitious targets
Experience at a fintech, financial data platform, or expert network
An existing network across PE, VC, hedge funds, banking, or asset management
Exposure to AI, data products, or technical stakeholders
Familiarity with financial services compliance and data requirements (e.g., SOC 2, GLBA)
Benefits
Bi-annual performance bonus structure
Generous equity grant vested over 4 years
Up to $15k Relocation bonus
$10K housing bonus (if you live within 0.5 miles of our office)
$1.5K monthly stipend for meals
Free Equinox membership
$200 monthly laundry reimbursement
$200 monthly personal wellness reimbursement
Health, Dental, Vision insurance
Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.
How we rate this
Finance GTM Associate at Mercor rates 10 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
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Pay
- This job starts at
- $120k
- Typical finance job
- $105k
This posting starts 14% above the typical finance job. See finance jobs
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