During your 12-week internship, you'll lead high-impact projects,from untangling 'messy' operational bottlenecks to architecting the systems that scale our global product launches,turning complex ambiguity into clear execution plans with opportunities for full-time employment within the team the following year.

Throughout the internship, you will be mentored by a dedicated sponsor and have the opportunity to connect with senior leaders across the organization.

Your responsibilities will include:

• Driving strategic projects by owning end-to-end commercialization transformation projects,from new product introductions to partner programs,by documenting current processes and identifying high-impact opportunities to simplify, automate, and scale.

• Informing high-stakes decisions by providing the analytical rigor and data-driven insights necessary to monitor program health, building lightweight dashboards and metrics tracking that translate raw data into leading indicators for executive leadership.

• Communicating with clarity by synthesizing complex business needs into clear requirements, user stories, and formal documentation (such as BRD/PRD sections) that bridge the gap between technical system requirements and executive-level strategy.

• Enabling the field by ensuring seamless execution of commercial initiatives by producing critical operational deliverables, including process maps, rollout checklists, and User Acceptance Testing (UAT) plans to prepare the field for new product launches.

• Influencing the roadmap by acting as a central point of alignment across RevOps, Sales, Finance, Legal, and Product teams, gathering diverse stakeholder input to ensure internal systems and workflows support the broader commercialization roadmap.

To be successful in this role, you will need to have:

• A strong interest in enterprise software/SaaS commercialization, operations, systems, and go-to-market strategy.

• Proficiency in Excel/Sheets and experience using AI productivity tools (such as Claude Code and Lovable) to enhance your workflow.

• Previous experience with SQL or Databricks for querying and reporting preferred.

• Previous experience with go-to-market concepts (pricing, packaging, quoting) or platforms like SFDC, CPQ, NetSuite, or Jira preferred.

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You will have a primary focus on the LATAM region, partnering with key departments across the organization and supporting global HR programs where needed. This role is based out of São Paulo, Brazil, and is a full-time position where it is required to come into our office at complexo JK Iguatemi (2-3 days/week).

Job Responsibilities:

• Partner with business teams as their primary HR contact, coaching managers and supporting the full employee lifecycle in close collaboration with the broader People team to maximize engagement and business execution.
• Focus on manager coaching, organizational design, change leadership and communication, and talent management.
• Influence business and talent initiatives that support short- and long-term goals, including driving practices that enable high performance and operational excellence.
• Recommend, develop, and implement HR processes to further scale the business as we grow.
• Provide counsel and guidance on employee relations situations with sound judgment and a people-first approach.
• Lead core HR processes including performance calibration, compensation review cycles, and promotions.
• Drive practices that increase employee engagement and satisfaction across the region.
• Model and actively reinforce Jeeves' cultural values in all aspects of the role.
• Oversee and manage on-site events in São Paulo, while collaborating with Country Managers in Mexico and Colombia to coordinate local office activities.

Requirements:

• 5+ years of experience in an HRBP role, or an equivalent combination of HRBP and HR Generalist experience.
• Bachelor's degree in HR, Psychology, Business, or a related field.
• Excellent communication skills, including effective facilitation, active listening, and clear written communication.
• Strong analytical thinking, problem-solving, and decision-making capabilities.
• Effective coaching skills, solid business acumen, and the ability to influence colleagues at all levels of the organization.
• Knowledge of HR programs and practices, including applicable employment laws and regulations across the LATAM region.
• Fluent in English and Portuguese. Jeeves is a global company and English is our internal language across regions. Spanish is a plus.
• Agile and able to adapt quickly in a fast-moving, evolving environment.
• Collaborative, team-oriented, and low-ego approach to getting things done.

AI Competency Requirements:

• Comfortable using AI productivity tools (e.g., Claude, ChatGPT, Copilot) to support day-to-day work , including drafting communications, building frameworks, synthesizing data, and accelerating research.
• Able to critically evaluate AI-generated outputs, understanding common limitations such as factual errors, bias, and gaps in legal or regional context.
• Working knowledge of data privacy considerations when using AI tools in an HR context, including appropriate boundaries around employee data.
• Experience or genuine interest in applying AI to HR workflows such as job description writing, interview guide development, engagement survey analysis, and manager communications.
• Proactively identifies opportunities to reduce manual, repetitive work through AI so that more time can be spent on strategic and human-facing priorities.
• Committed to responsible, human-centered AI use , ensuring that AI augments rather than replaces human judgment in hiring, performance, and employee relations decisions.
• Stays current on developments in AI tools and their application in HR, including awareness of relevant regulatory considerations in the LATAM region.

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding. They will be constantly looking for opportunities to push the envelope of impact from our investments in AI and inspire the team to do the same. This leader will also drive the synthesis of the situation into SVP+ consumable frameworks and crisp grounded and data backed options. They will then ensure the strategy is executed flawlessly partnering with a multitude of cross functional teams and stakeholders.

Key responsibilities include: Investigating and driving clarity on some of Google's hardest long range strategic questions in AI Creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time Modeling scenarios and various tradeoffs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google Creating SVP+ forum content (presentations, communications, mandates) Helping develop a per-mandate monitoring view to keep programs accountable Collaborating with operational teams and forums in AI to ensure that company-wide SVP+ mandates are set up for success -- well organized, staffed and delivering on desired goals. Staying connected across Google to maintain a living catalog of ongoing experiments & proposed innovations that may become worthy of discussion at NRC Identifying gaps in our processes and information and proposing/implementing solutions.

To succeed in this role, you will be a PM who thrives as both a central hub orchestrating complex and long running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company. If you have high energy, a positive attitude, strong tech judgment, excellent interpersonal skills, and are excited to handle complex pan-Google topics and SVP audiences, this job will offer an opportunity to have a massive company-wide impact.

To set you up for success as a Product Manager at DeepMind, we look for the following skills and experience: A BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives. Exceptional organizational talent running high velocity, high impact, strategic programs Stellar verbal and written communication; past experience with SVP/VP+ level audiences Extensive experience in product operations and business strategy Strong analytics, strategy, and data fluency experience Experience in a role that deals with machine learning and/or compute Innovative problem solver that can turn ambiguous problem spaces into clear solutions Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage: Familiarity with the role of compute and data in building LLMs and the capabilities of these models Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders A quantitative and analytical mentality to understand Google PA and external user needs Experience navigating sensitive organizational dynamics Collaborating within data-driven or quantitative-focused teams A consistent record of creative problem solving and a bias towards action Outstanding business judgment Outstanding organizational, prioritization, and multitasking skills. Excellent communication skills A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment Experience in corporate planning Ability to manage multiple concurrent complex interactions with geographically disparate teams Past people management experience; Experience in hiring and leading teams, including distributed teams

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Application deadline: 13th Feb 2026

Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy.

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As one of the key senior leaders of the compute Tech Strategy team, this role will own the success of our AI strategy by driving the maximal product impact for Google and AI impact for humanity. This leader will have the responsibility of framing key strategic decisions for our SVP+ leadership group based on deep analysis of the situation including value at stake from AI investments, investment optimization options, Industry understanding, financial modeling, product strategy analysis and understanding.

The role will involve personally driving and amplifying impact through leading a team to investigate and drive clarity on some of Google's hardest long-range strategic questions in AI, creating new and partner with existing virtual teams across Google to create comprehensive product and policy plans that stand the test of time, modeling scenarios and various trade-offs to create opinionated strategies for maximizing AI value and optimizing AI investments across Google, and creating SVP+ forum content (presentations, communications, mandates).

To be successful in this role, you will need to be a PM who thrives as both a central hub orchestrating complex and long-running investigations AND a rapid iteration IC who can quickly create something out of nothing and move on to the next thing. You must be able to concisely communicate the merits & risks of multiple scenarios in documents that will get circulated broadly and to some of the most senior folks at the company.

In order to set you up for success as a Product Manager at DeepMind, we look for the following skills and experience:

• BA/BS degree in Computer Science/EE or equivalent practical experience in a technical and/or business area
• 15+ years of product management experience for a technology-driven company, at scale, including a proven track record in driving 0->1 product capabilities and founding or incubating new, high-impact technical initiatives.
• Exceptional organizational talent running high-velocity, high-impact, strategic programs
• Stellar verbal and written communication; past experience with SVP/VP+ level audiences
• Extensive experience in product operations and business strategy
• Strong analytics, strategy, and data fluency experience
• Experience in a role that deals with machine learning and/or compute
• Innovative problem solver that can turn ambiguous problem spaces into clear solutions
• Ability to influence without direct authority, you adeptly work on and with technical and cross-functional or highly matrixed teams in a way that leads to aligned decision making

In addition, the following would be an advantage:

• Familiarity with the role of compute and data in building LLMs and the capabilities of these models
• Strong product vision and sensibility, ideally with prior and proven experience embedding applied AI capabilities into products and a track record of leveraging AI productivity tools
• 5+ years of product strategy work experience in managing highly-complex, technically-challenging projects spanning a wide set of stakeholders
• A quantitative and analytical mentality to understand Google PA and external user needs
• Experience navigating sensitive organizational dynamics
• Collaborating within data-driven or quantitative-focused teams
• A consistent record of creative problem solving and a bias towards action
• Outstanding business judgment
• Outstanding organizational, prioritization, and multitasking skills
• Excellent communication skills
• A proven track record of building positive relationships with senior stakeholders and influencing strong personalities within a complex business environment
• Experience in corporate planning
• Ability to manage multiple concurrent complex interactions with geographically disparate teams
• Past people management experience; Experience in hiring and leading teams, including distributed teams

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Location

San Francisco; New York City

Employment Type

Full time

Location Type

On-site

Department

Data Science

Compensation

• $293K – $515K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

Our B2B product organisation is building the systems that will accelerate and automate how companies operate using AI coworkers. Our vision is to enable companies to scale to $1B+ with teams of fewer than five people by leveraging AI agents and automation. We are building the infrastructure, products, and analytics that allow organisations to deploy fleets of AI agents, automate workflows, and dramatically increase employee productivity. This team sits at the centre of the future of work: defining how humans collaborate with AI systems across companies, workflows, and knowledge.

About the Role

We are looking for a product-focused Data Scientist to help shape the next generation of AI-powered enterprise products, including ChatGPT Enterprise and agentic automation systems.

This is not a traditional analytics role. You will work directly with product managers, engineers, and researchers to define how AI agents behave, how organisations adopt them, and how we measure their impact on work.

You’ll analyse how users interact with AI systems, inform product strategy, and help build the measurement frameworks that guide the future of enterprise AI.

In this role, you will:

• Partner closely with product, engineering, and research teams to shape AI-powered enterprise products

• Define metrics and measurement frameworks for AI agents, automation workflows, and enterprise adoption

• Analyse how organisations use AI tools and identify opportunities to improve product experience and business impact

• Drive insights around enterprise adoption, retention, and value realisation

• Inform product decisions around agent orchestration, enterprise workflows, and AI productivity tools

• Design experiments and evaluations that improve AI system performance and user outcomes

• Help define how companies operate with AI coworkers and automated workflows

What We’re Looking For

Must Have:

• Strong product analytics or data science experience

• Deep curiosity about AI systems and how they change how work gets done

• Ability to work closely with product and engineering teams in 0→1 product environments

• Strong analytical skills (experimentation, behavioural analysis, product metrics)

• Builder mindset — someone who wants to shape products, not just analyse them

Nice to Have:

• Experience with B2B SaaS or enterprise analytics

• Experience with developer platforms, APIs, or technical products

• Background in AI/ML systems, agent frameworks, or LLM-based products

• Systems thinking around how complex tools and workflows operate at scale

Who Thrives Here:

• AI-native — actively experimenting with and building with AI tools

• Product thinkers who want to shape the future of work

• Builders who enjoy early-stage ambiguity and 0→1 problems

• Operators who can work independently and drive large parts of a product area

Impact

You will help define:

• How organisations deploy and manage AI agents

• How AI transforms enterprise productivity

• The measurement systems behind AI-native companies

• This is an opportunity to help create the “Codex moment” for non-coding work — defining how businesses operate in an AI-first world.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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