Project Manager, Delivery Team
Company websitemercor.com (Mercor, opens in new tab)
Base salary $130K to $180K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (45 min ago) · observed since
About this job
About Mercor
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.
About the Role:
Mercor’s Data team is looking for a Project Manager to own the end-to-end execution of data initiatives, from intake and scoping through delivery and post-launch handoff. You’ll be the connective tissue across data engineering, analytics, and cross-functional stakeholders, ensuring every project is delivered on time, within budget, and at the level of quality our clients and internal teams expect.
What You’ll Do:
Own end-to-end project management for data initiatives, including intake and scoping, requirements gathering, readiness reviews, cross-functional approvals, and launch/post-launch handoff.
Take direct responsibility for the successful execution of projects, including meeting project goals, client/stakeholder service, quality of work, resource utilization, and profitability.
Lead, motivate, and build a strong team environment for project contributors, inspiring a shared vision, enabling others to act, and taking ownership of team outcomes.
Partner with team leads to vet, scope, and kick off assignments, and own all due dates and milestones.
Develop and maintain accurate project documentation, including timelines, budgets, and scoping documents.
Lead communications and change management across the project lifecycle, from kickoff briefings for stakeholders through end-user notifications ahead of launches, ensuring the right people have the right information at the right time.
Serve as the primary coordination point across functional teams (Data Engineering, Analytics, Legal, Finance, etc.), aligning workstreams and driving decisions and accountability against timelines.
Anticipate and manage the downstream implications of project decisions before they create risk; proactively surface dependencies, resolve blockers, and escalate when needed.
Build and continuously improve the infrastructure that makes data project delivery scalable: intake forms, templates, checklists, SOPs/playbooks, and retrospectives that feed into process improvement.
Manage relationships with key stakeholders to promote trust and future opportunities.
Knowledge, Skills, & Abilities:
Excellent leadership, communication, and stakeholder management skills.
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).
Superb attention to detail, sound judgment, and strong listening skills.
Comfortable driving process improvement and proposing more efficient ways of working.
Passion for data-driven products and cross-functional collaboration.
Minimum Qualifications:
3-5+ years of project management experience or related experience.
Bachelor’s degree or equivalent experience in a related field.
Preferred Qualifications:
Proven track record managing large, cross-functional data or technical projects.
Experience managing a high volume of projects in parallel.
Experience with data, engineering, or analytics project types.
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
Source: Mercor on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($130,000) is above 28% of the 1,066 Program & Project Management roles in California listed on this site; 30 others list the same floor. Their median floor is $150,000; the middle half runs from $125,100 to $175,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingProject Manager, Delivery Team$130K to $180K
Executive Operations, Growth$130K to $180K
Research Operations, Code$130K to $250K
ProcOps Specialist$135K to $156K
Growth Associate$120K to $130K
People Programs Specialist$140K to $190K
Program Manager, Quality$120K to $200K
Chart as a table
| Role | Published base |
|---|---|
| Project Manager, Delivery Team (this listing) | $130K - $180K |
| Executive Operations, Growth | $130K - $180K |
| Research Operations, Code | $130K - $250K |
| ProcOps Specialist | $135K - $156K |
| Growth Associate | $120K - $130K |
| People Programs Specialist | $140K - $190K |
| Program Manager, Quality | $120K - $200K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-07-11
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 130,000 – 180,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
