Mercor
Strategic Finance Lead
San Francisco · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$5,518 more — $170,518 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $170,518 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Financial and Investment Analysts" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Financial and Investment Analysts (13-2051) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- This role will help shape a finance function in rapid-growth mode and directly influence product strategy, investment decisions, and long-term planning.
- Evaluate returns on product investments, pricing changes, and operational initiatives.
- Translate data into recommendations that shape product and company strategy.
Responsibilities
- Own product-line P&Ls: Manage revenue, margins, opex, and unit economics with a clear view into performance drivers.
- Serve as the primary finance partner: Support GMs and product stakeholders with analysis, insights, and financial guidance.
- Develop budgets and manage operating expenses: Create product-level budgets, monitor spend, and identify risks and opportunities.
- Support capital allocation decisions: Evaluate returns on product investments, pricing changes, and operational initiatives.
- Clear communicator and cross-functional partner who can synthesize insights and influence decisions.
- Process-oriented and adaptable, with interest in building and improving systems and workflows.
Nice to have
- Prior startup experience preferred.
Compensation
- Lead forecasting, planning & financial modeling: Build revenue models, size opportunities, and contribute to quarterly and annual plans.
Benefits
- 5+ years of relevant experience in investment banking, private/growth equity, consulting, or strategic finance at a high-growth tech company.
- You will own the financial health of key product lines and customers, including through forecasting, budgeting, market analysis, and full P&L ownership.
- Generous equity grant
- $15K relocation bonus (for moving to the Bay Area)
- $10K housing bonus (if you live within 0.5 miles of our office)
- $1.5K monthly stipend for meals
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance401(k) with company match
Company info
- Mercor's mission is to organize human intelligence to power the AI economy.
- We're a leading AI data company, building the layer between human expertise and frontier models.
- Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models.
- Mercor's APEX benchmark family measures AI's real-world impact on professional work.
- Mercor Enterprise brings this same infrastructure to Fortune 500 companies:
- helping companies capture how their best people actually work, translating that expertise directly back into agents.
- Mercor is creating a new category of work where expertise powers AI advancement.
- Achieving this requires an ambitious, fast-paced and deeply committed team.
- You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
- Mercor is a profitable Series C company valued at $10 billion.
- We work in-person five days a week in our San Francisco, NYC, or London offices.
- What We're Looking For
This listing is sourced directly from Mercor's careers page and normalized into a canonical job model.