JLL empowers you to shape a brighter way.  

Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong.  Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.   

ABOUT JLL TECHNOLOGIES

JLL Technologies (JLLT) is the technology and data science engine of JLL, one of the world's leading commercial real estate services firms. JLLT builds intelligent, connected, and sustainable workplace solutions powered by proprietary platforms, data products, and AI. The Workplace Management (WPM) Transformation Program is redefining how JLL and its clients operate facilities — embedding real-time insights and AI-powered automation into day-to-day workplace operations.

THE ROLE

We need a product manager who builds things. Not someone who writes strategy decks and hands them over — someone who opens a laptop, fires up a model, strings together an agent, and ships something by end of day. This Director of Product Management role owns the product for Workplace OS, JLL's next-generation workplace management platform, and will be measured by what gets built and whether it works.

 

You will define features, write specs, experiment with AI tools, prototype workflows, and work shoulder-to-shoulder with engineers and designers to turn ideas into product. You are energized by the pace of AI development and have a habit of testing new models, frameworks, and tools before anyone tells you to. You hold strong opinions about what makes a great product experience but know that the right answer often comes from trying things — not from more meetings.

WHAT YOU WILL DO

Ship Product

• Own the end-to-end product lifecycle for core Workplace OS capabilities — from discovery through launch and iteration.

• Write clear, detailed product specs and acceptance criteria that engineers can actually build from, including edge cases, error states, and AI output handling.

• Sit in engineering standups, participate in sprint reviews, and stay close enough to the code to catch problems before they ship.

• Manage the backlog with discipline: prioritize ruthlessly, cut scope when necessary, and keep the team focused on what matters most.

Experiment Aggressively with AI

• Prototype new AI-powered features yourself — using tools like Claude, GPT-4o, Cursor, or whatever the current best tool is for the job.

• Test and evaluate LLMs, agentic frameworks, and automation tools to inform build vs. buy decisions with real evidence.

• Design and iterate on agentic workflows for workplace operations: safety conversations, compliance tracking, participation nudging, facilities incident routing.

• Define the human-in-the-loop escalation paths, confidence thresholds, and guardrails that make AI features safe to put in front of real users.

• Stay current on the AI landscape — not as a hobby, but as a professional obligation. You should know what shipped last week and whether it matters for what we're building.

Drive Clarity from Ambiguity

• Translate fuzzy business problems and operational pain points into precise product requirements and testable hypotheses.

• Work directly with Facilities Managers, Account Directors, and HSSE leads to understand what actually breaks in the field — and design for it.

• Define success metrics for every feature before it ships, and own the post-launch review to determine whether the feature worked.

• Identify open questions early, flag them loudly, and drive to resolution rather than letting them become blockers mid-sprint.

Collaborate Across the Stack

• Partner with engineering leads, data scientists, and ML engineers as a peer — not a client. Understand the technical constraints and work within them creatively.

• Work with design to produce experiences that are simple enough for a Facility Manager to use on their phone between walkthroughs.

• Coordinate with implementation and customer success to ensure features land well in the field, not just in the demo.

• Communicate clearly up to VP and executive stakeholders — turn technical progress into business narrative without losing the substance.

WHAT YOU BRING

Required

• 7+ years of product management experience, with at least 3 years in enterprise SaaS, platform products, or operational technology.

• A genuine, demonstrable hands-on relationship with AI tools — you have built things using LLMs, agents, or AI-powered automation in the last 12 months.

• Technical fluency: you can read an API spec, understand a data schema, review a system design, and have a substantive conversation with an engineer about why something is hard.

• A track record of shipping product in complex organizations — navigating ambiguity, managing stakeholders, and keeping a team moving.

• Strong written communication: specs, PRDs, executive updates, and user-facing copy should all be in your range.

• Comfort with fast iteration — you prefer small bets and rapid feedback loops over long planning cycles.

Preferred

• Hands-on experience with agentic AI frameworks or MCP server integrations.

• Familiarity with the Microsoft 365 ecosystem: Teams, SharePoint, Power Platform, Azure AD.

• Background in workplace technology, facilities management, IoT, or building operations.

• Experience designing AI features for regulated or safety-sensitive environments, including audit trails, explainability requirements, and escalation logic.

• You have a GitHub account with actual commits, a side project running on a cloud function, or a portfolio of things you have personally built or prototyped.

WHAT GOOD LOOKS LIKE IN THIS ROLE

In 30 days: You understand the Workplace OS platform, the WPM program priorities, and the open product questions. You have shipped at least one small thing.

 

In 90 days: You own the backlog. You have prototyped at least one AI-powered workflow, gathered feedback from real users, and revised it. Engineering trusts your specs.

 

In 6 months: You have a track record of delivery. You have improved the AI capabilities of at least one core feature. The team ships faster because of how you work.

WHAT WE OFFER

• A product role with real scope — you will own something that matters and see it used in real buildings by real people.

• Direct access to the VP of Product Management and a seat at the table on WPM program strategy.

• A genuine culture of experimentation — you will not need to ask permission to try things.

• Flexible work environment. Remote/hybrid work with a global team across AMER, EMEA, and APAC.

• Budget for AI tools, research, and ongoing learning — we want you sharp.

Location:

On-site –Bengaluru, KA

Scheduled Weekly Hours:

0

If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements.  We’re interested in getting to know you and what you bring to the table!

At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.

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