Real Estate Project Manager

Job Application for Real Estate Project Manager at Anthropic

Real Estate Project Manager San Francisco, CA

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

We are looking for a detail-oriented Real Estate Construction Project Manager to join our Workplace team at Anthropic. This critical role will be a key contributor for our global real estate projects across multiple office locations, serving as the central liaison between external project managers, vendors, and internal stakeholders. The ideal candidate will bring 8+ years of corporate real estate construction project management experience, with exceptional organizational skills and the ability to manage multiple concurrent projects, maintain meticulous attention to detail in a fast paced environment. This role will also support developing project management office (PMO) functions and tools with guidance from the Head of Construction.

Key responsibilities

Project Management (70%)

Own the delivery of multiple small-mid size real estate projects up to 50,000 square feet across an international portfolio, ensuring swift project set up, timely completion, and within budget parameters

Serve as primary liaison between external project managers and internal stakeholders, facilitating clear communication and project alignment

Represent Anthropic’s interests while managing vendors including contract and invoice reviews

Accountable for project milestones, deliverables, financials, and potential risks across all active projects

Oversee project meetings and ensure follow-through on all commitments

Project Management Office (PMO) Development (30%)

Partner with the Head of Construction to develop internal PMO tools including templates for vendor RFPs, bid leveling, project charters, project kick off agendas, and lessons learned protocols

Build and maintain project reporting dashboards, cost benchmarks, and KPI tracking that give leadership real visibility into portfolio health

Establish project delivery playbooks and project control checklists for recurring project types (coworking activations, fit-outs, restacks) to ensure efficient and high quality project delivery

Develop project documentation standards to ensure files are properly maintained and accessible

Launch and manage new PMO tools and standards on live projects, review outcomes, and collect feedback for continuous improvement

Minimum qualifications

Experience in corporate real estate construction project management on the client-occupier side

Demonstrated experience managing external project managers, general contractors, and FF&E vendors; comfortable reviewing contracts and invoices

Outstanding verbal and written communication abilities to ensure regular and clear project team and stakeholder communication

Experience with developing and implementing PMO tools and processes seamlessly with in-flight projects

Proficient with Google Suite applications

Work independently while knowing when to escalate issues appropriately

Preferred qualifications

Have minimum 8 years of relevant experience

Have international real estate project management experience in rapid-growth technology company

Demonstrate experience with process improvement and operational excellence

PMP certification or equivalent

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $145,000 - $185,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research…