Project Manager, Delivery Team

Mercor

San Francisco (CA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Bi-annual performance bonus structure

Generous equity grant vested over 4 y

Up to $15k Relocation bonus

$10K housing bonus (if you live within

$1.5K monthly stipend for meals

Free Equinox membership

$200 monthly laundry reimbursement

$200 monthly personal wellness reimbur

Health, Dental, Vision insurance

Job summary

Mercor is hiring a Project Manager for the Data team in San Francisco. You will own the end-to-end execution of data initiatives, coordinating across data engineering, analytics, and cross-functional stakeholders to ensure delivery on time, within budget, and with high quality.

The role emphasizes leadership, stakeholder management, and scalable process improvement. You’ll drive requirements, scoping, readiness reviews, and milestone tracking, while maintaining project docs, budgets, and

Qualifications

Excellent leadership, communication, and stakeholder management skills.
Ability to work collaboratively across departments (engineering, data science, leadership, legal, finance).
Superb attention to detail and sound judgment.
Comfortable driving process improvement and proposing more efficient ways of working.

Responsibilities

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 successful execution of projects, including meeting goals, client service, quality, resource utilization, and profitability.
Lead, motivate, and build a strong team environment for project contributors and outcomes.
Partner with team leads to vet, scope, and kickoff 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 and ensure stakeholders receive timely information.
Serve as the primary coordination point across Data Engineering, Analytics, Legal, Finance, etc.
Anticipate and manage downstream implications of project decisions; surface dependencies and resolve blockers.
Build and improve infrastructure for scalable data project delivery (templates, SOPs, playbooks, retrospectives).
Manage relationships with key stakeholders to promote trust and future opportunities.

Skills

Leadership

Communication

Stakeholder management

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Job description

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 escalare 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