Senior Associate, AI

Location: NYC - Midtown

Tishman Speyer creates vibrant destinations and dynamic environments that inspire innovation and connected communities. As a diversified developer, operator, and investment manager of top-tier real estate in 33 markets across the globe, our business choices are driven by the belief that real estate should unlock human potential. Tishman Speyer’s diversified portfolio spans market rate and affordable residential communities, premier office properties and retail spaces, industrial facilities, and mixed-use campuses.

We create state-of-the-art life science centers through our Breakthrough Properties joint venture, and foster innovation through our strategic proptech investments. By combining global perspective with local expertise, and a personalized approach, we are able to anticipate our customers’ evolving needs. We were the first real estate company to introduce asset-wide amenity services through our ZO platform, and the first traditional real estate company to create its own flexible space and coworking brand, Studio.

Since our founding in 1978, Tishman Speyer has acquired, developed, and operated 576 properties, totaling 233 million square feet, with a combined value of over $131 billion (U.S.). Tishman Speyer currently has approximately $65 billion in assets under management, including iconic properties such as New York City’s Rockefeller Center, São Paulo’s Torre Norte, The Springs in Shanghai, Paris Bourse in Paris and Frankfurt’s OpernTurm and TaunusTurm.

Summary of the Position

Tishman Speyer is seeking a Senior Associate, AI to join the firm’s AI team. Reporting directly to the Senior Director, AI, this individual will be a hands-on builder and the team’s primary delivery partner, taking ownership of AI projects from a loosely defined request through to a working solution that people actually use.

The AI team works across the firm, including Acquisitions, Debt & Capital Markets, Portfolio Management, Asset Management, Legal, Accounting, and Marketing, to find where AI can save time or improve decisions, and then build it. The work spans AI workflows and skills for enterprise assistants such as Claude and ChatGPT, document extraction and data pipelines on Databricks, internal AI applications, and the rollout, training, and governance needed to get those tools adopted safely.

The ideal candidate is analytically strong, technically capable, and comfortable being handed an ambiguous problem and coming back with a result. They use modern AI tools, including AI coding agents, as a core part of how they work, and they hold themselves to a high standard for checking their own output.

Examples of the Work

• Turning an offering memorandum and underwriting model into a standardized investment one-pager and presentation slide in minutes rather than hours.
• Extracting loan terms from financing documents into a governed deal ledger that replaces a manually maintained spreadsheet.
• Building a searchable AI assistant over the firm’s historical investment committee materials.
• Packaging a team’s recurring process as a reusable AI skill available in both Claude and ChatGPT.
• Taking a business team’s request for a new AI connector or integration through security review, testing, and a phased rollout.

Key Responsibilities

• Own delegated AI projects end to end: clarify the business problem with stakeholders, scope the approach, build, test, deploy, and support the solution after launch.
• Design and build AI workflows, skills, agents, and connectors on enterprise AI platforms (e.g., Claude, ChatGPT, Model Context Protocol servers).
• Develop document-extraction and data pipelines on Databricks (Python, SQL, PySpark, Unity Catalog, AI Functions, Vector Search) that turn unstructured documents into reliable, structured data.
• Build and maintain internal AI applications and tools for business users, including Databricks Apps and lightweight web applications.
• Measure AI output quality: assemble test sets from real examples, track accuracy, set thresholds for human review, and monitor results in production.
• Manage intake and enablement of new AI tools, connectors, and integrations, partnering with Cybersecurity, Infrastructure, and Applications teams on security review, data-access approvals, and rollout.
• Work directly with business teams to run discovery sessions, document current workflows, and quantify time saved and adoption once a solution is live.
• Produce clear written materials, including design documents, one-page project summaries, status updates, training content, and how-to guides, for both technical and non-technical audiences.
• Coordinate day to day with implementation partners and vendors, and track work through GitHub Issues and Projects.
• Support AI education across the firm, including training sessions, new-hire presentations, and the firm’s AI use-case program.

Skills & Qualifications

• Bachelor’s degree in a quantitative or technical field such as mathematics, statistics, computer science, engineering, or economics.
• 3+ years of experience in data analytics, data engineering, data science, software development, or technology-focused consulting / digital transformation.
• Strong proficiency in Python and SQL.
• Hands-on experience building with large language models (e.g., Anthropic Claude, OpenAI), including prompt design, structured extraction, retrieval, agents, or workflow automation.
• Regular, practical use of AI coding assistants (e.g., Claude Code, Codex, GitHub Copilot, Cursor) and working knowledge of Git and GitHub.
• Experience with a cloud data platform; Databricks strongly preferred (Spark, Delta Lake, Unity Catalog).
• Strong quantitative and analytical skills, including comfort with statistical reasoning and with measuring whether a solution is actually working.
• Excellent written communication skills.
• Experience in real estate, investment management, or financial services is a plus, as is familiarity with commercial real estate documents (offering memoranda, rent rolls, leases, loan documents) and Excel-based financial models.
• Experience with web application development (e.g., React, TypeScript, FastAPI).

Critical Competencies for Success

Ownership: takes a loosely defined request, asks the right clarifying questions up front, and delivers a finished result without needing step-by-step direction.

Judgment on when to escalate: surfaces decisions, risks, and blockers early rather than guessing.

Rigor: tests on real data and the real production path before calling something done, and reports results accurately, including what did not work.

Clear, concise communication: short status updates and plain-language explanations for senior, non-technical audiences.

Pragmatism: ships a working first version quickly and improves it, while respecting security, data governance, and confidentiality requirements.

Curiosity and speed of learning: keeps pace with a fast-moving AI landscape and evaluates new tools on practical business value.

Credibility with investment professionals and the ability to manage several stakeholders and projects at once.

Discretion with confidential deal, investor, and firm information.

On-site presence is required for this position.

The base compensation range for this role is $155,000 to $170,000. This role is also eligible for a discretionary annual bonus, as well as access to our comprehensive medical, dental, and vision insurance, life and disability insurance, 401(k) plan (with matching contributions), wellness benefits and all other benefits afforded to full-time Tishman Speyer employees.

This base range reflects a number of factors including, but not limited to, relevant experience, skill sets, and/or licensure required of an individual in this particular role. The base range is also specific to members of Tishman Speyer’s New York team, as we’ve considered factors specific to this geography.

Tishman Speyer is deeply committed to creating and maintaining a diverse workforce which promotes different views and perspectives. We expect our leaders and employees alike to champion diversity and inclusion practices. Tishman Speyer has several employee affinity and interest groups that provide employees opportunities to develop professional relationships across the business and identify opportunities for development and advancement.

We are proud to be an Equal Opportunity Employer and treat all applicants for employment equally based upon job-related qualifications and without regards to race, color, age, sex, sexual orientation, gender identity, gender expression, marital status, military or veteran status, national origin, disability, religion, or any other characteristics protected by law.

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Tishman Speyer is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, national origin, sexual orientation, gender identity or expression, disability, protected veteran status or military status, or any other category protected under applicable law. Tishman Speyer is committed to taking affirmative steps to promote the employment and advancement of minorities, women, persons with disabilities and protected veterans.

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