This is a unique opportunity to work across both digital and physical touchpoints, bridging strategic product thinking with deep operational execution to solve complex, real-world problems. A critical part of this role is bringing genuine AI fluency , using LLMs, automation platforms, and AI agents to multiply the team's impact and build scalable enablement infrastructure.

We're looking for a leader who's excited by ambiguity, obsessed with outcomes, and eager to iterate quickly with a cross-functional team of designers, engineers, and operators in-market and around the world. The right leader will balance strategy with grit and demonstrate strong communication and influence skills to ensure success.

Responsibilities:

• Influence the roadmaps for critical workflows that support both residents (“neighbors”) and internal operators across leasing, resident experience, maintenance, and financial planning
• Lead product discovery efforts through data analysis and close collaboration with on-the-ground teams
• Collaborate with global tech and local ops teams to ensure tools are scalable, delivered first time right, and tailored to market nuances
• Partner with local operators and global tech teams to scale tools, improve workflows, and ensure product usability across diverse market contexts
• Build strong feedback loops between field operators and product teams to surface unmet needs and drive continuous improvement
• Operationalize product rollouts with strong change management, training, and performance tracking
• Ensure tools and processes are not only functional but also resilient, scalable, and embedded in day-to-day operations
• Champion a culture of rapid iteration, continuous learning, and tight collaboration between technical and operational teams
• Identify automation opportunities across operator workflows and build or evaluate solutions using AI agents, LLMs, and workflow orchestration tools (e.g., n8n, Cursor, MCP)
• Enable scale beyond human bandwidth by automating identified opportunities through repeatable processes, tooling, templates, or AI-assisted workflows, developed in collaboration with operators
• Design and facilitate cross-functional alignment workshops to co-develop SOPs and drive process adoption at scale

Ideal Background:

• 5–8 years of product experience, ideally in complex business domains (finance, e-commerce, logistics, etc)
• Comfortable owning complex, ambiguous problem spaces , especially those that blend tech, service, and people
• Adept at partnering across engineering, design, and operations , with strong communication and collaboration skills
• You think in systems, care about details, and are energized by rolling up your sleeves to make things better every day
• Bonus: experience with real estate, logistics, marketplace, or hospitality platforms

Technical Skills:

• Strong communicator, especially in writing clear, actionable PRDs and process documents for stakeholders
• Deep, hands-on AI fluency: prompt engineering, AI agent design and evaluation, in-product guidance platforms, and workflow orchestration (n8n, Cursor, MCP); able to prototype and ship AI-augmented workflows, not just describe them
• Proficient in modern product tools: JIRA, Confluence, Figma, LLMs

What Sets You Apart:

• Understands and embraces grit
• You thrive in ambiguity and high-pressure environments; comfortable making informed trade-offs
• You are a low-ego individual who is excited about working in an ever-changing space
• You are passionate about elegant design and hypothesis-driven product development
• You are an excellent communicator and natural leader
• You are flexible and willing to pivot quickly based on new information or shifting priorities
• You can shift seamlessly from strategic storytelling to tactical execution

Additional Information:

Benefits

• Comprehensive benefits package (Medical / Dental / Vision / Disability / Life)
• Paid time off and 13 paid holidays
• 401(k) retirement plan
• Healthcare and Dependent Care Flexible Spending Accounts (FSAs)
• Access to HSA-compatible plans
• Pre-tax commuter benefits
• Employee Assistance Program (EAP), free therapy through SpringHealth, acupuncture, and other wellness offerings

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Key responsibilities for this role include:

• Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.
• Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.
• Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don't work out.

To succeed in this role, you will need:

• A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
• A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).
• Strong software engineering skills to complement your research background.

In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.

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What you'll do

This role guides customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.

What you need

• 5-7 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the EMEA region

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What you'll do

This role will guide customers through best practices for deploying and scaling agents across web, mobile, and telephony, and for integrating agents with existing data sources and systems. You will analyze agent performance data and conversational logs to identify friction points and optimization opportunities that improve accuracy, user experience, and reliability at scale.

What you need

• 5-7 years of Customer Success or Account Management experience supporting complex B2B SaaS, Developer Tools, or AI/ML products in the LATAM region

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