Hybrid Land Survey Project Manager — LA Office

KPFF Consulting Engineers; Los Angeles (CA); Hybrid; USD 140,000 - 175,000; Full time

Benefits offered by this job

401(k) retirement savings plan with-em

Medical insurance with two plan option

Dental and vision insurance

Health Savings Account (HSA) with 2x1

Healthcare and Dependent Care Flexible

Life insurance

KPFF Paid Family Leave

Short-term and long-term disability

Paid holidays

Paid time off

Professional development and licensing

Job summary

KPFF Consulting Engineers in Los Angeles is seeking an experienced Survey Project Manager to lead multiple surveying projects, oversee budgets, schedules, and client relationships, and mentor team members.

You will manage boundary, topographic, ALTA/NSPS, and staking projects, provide technical leadership, and collaborate with civil engineering teams on a range of public and private sector assignments, with a hybrid work model after an initial training period.

Qualifications

• Approximately 10+ years of progressive land surveying experience.
• Experience independently managing multiple surveying projects, including schedules, budgets, and deliverables.
• Strong knowledge of boundary, topographic surveying, construction staking, mapping, and related land surveying practices.
• Experience reviewing survey calculations, field data, mapping documents, and technical deliverables for accuracy.
• Proficiency with CAD software used in surveying and mapping.
• Experience coordinating office and field survey personnel and working with multidisciplinary project teams.
• Active California PLS license preferred.

Responsibilities

• Manage multiple surveying projects concurrently, overseeing project planning, schedules, budgets, resources, and deliverables.
• Provide technical oversight for boundary, topographic, ALTA/NSPS, right-of-way, construction staking, subdivision, and other land surveying projects.
• Coordinate and direct the work of office survey staff and field crews to ensure accurate, timely, and efficient project delivery.
• Review and analyze survey data, boundary information, field calculations, records, and mapping documents to resolve technical challenges and support project decisions.
• Oversee the preparation and quality control of survey deliverables, including ALTA/NSPS surveys, subdivision and parcel maps, legal descriptions, construction staking calculations, condominium plans, and other technical documents.
• Review, approve, and sign or seal survey documents as appropriate and in accordance with applicable licensure requirements.
• Serve as a primary point of contact for assigned clients, managing expectations, communicating project progress, and maintaining strong working relationships.
• Coordinate with KPFF's civil engineering teams and other project stakeholders to support design and construction activities.
• Monitor project performance, proactively address schedule and budget challenges, and balance competing priorities across multiple assignments.
• Provide technical guidance, mentorship, and support to survey team members, encouraging professional development and consistent quality standards.
• Participate in project scoping, proposals, and client relationship development as opportunities arise.
• Visit project sites as needed to evaluate existing conditions, address technical issues, or provide direction to field crews.

Skills

Project management

Client relationship management

Team mentoring

Leadership

Communication skills

Education

Active California PLS license

Bachelor's degree in Surveying/Geospatial

Tools

AutoCAD Civil 3D

Trimble Business Center

Job description

KPFF Consulting Engineers in Los Angeles is seeking an experienced Survey Project Manager to lead multiple surveying projects, oversee budgets, schedules, and client relationships, and mentor team members.

You will manage boundary, topographic, ALTA/NSPS, and staking projects, provide technical leadership, and collaborate with civil engineering teams on a range of public and private sector assignments, with a hybrid work model after an initial training period.