You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

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You will define long-term technical direction for customer-facing experiences used by millions, identifying where AI meaningfully improves customer value and translating evolving business context and industry advances into durable, multi-area strategies and roadmaps that shape how Dropbox builds, scales, and innovates, while remaining hands-on in software development where it provides the greatest leverage.

Your influence will span organisations, setting foundational architecture, driving execution standards, and aligning senior technical and product leaders across boundaries. You will lead the responsible introduction and adoption of AI across product capabilities and engineering workflows, bring clarity to the most complex decisions, institutionalise engineering excellence, and contribute directly through critical design, prototyping, and code reviews.

In return, you will operate as a trusted technical partner to senior leadership, shape systems and platforms including AI-powered foundations that define Dropbox's future, and act as a company-level technical strategist, advancing Dropbox's mission to create a more enlightened way of working.

We are looking for an experienced Principal Engineer to join our team. As a Principal Engineer, you will be responsible for owning and driving technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

Responsibilities:

• Own and drive technical outcomes across multiple teams and organisations, delivering company-critical customer and business impact at scale.

• Define long-term technical strategy and partner with senior Product and Engineering leaders as the technical owner for the most important company objectives.

• Tackle the most ambiguous and far-reaching technical and product problems, shaping what the company builds as much as how it builds it.

• Remain deeply hands-on in software development, owning and implementing the most critical, complex, and foundational parts of the system where leverage is highest.

• Influence and align roadmaps across organisations, resolving structural bottlenecks and changing how Dropbox builds and operates.

• Architect and evolve foundational systems (this may involve both frontend and backend systems) and platforms that enable new product capabilities and operate reliably at the scale of hundreds of millions of users.

• Model exceptional technical judgment and execution rigor, setting and sustaining high engineering standards across a distributed, virtual environment.

• Drive AI adoption both to increase productivity and to produce AI-based features.

Requirements:

• Advanced degree in Computer Science or a related technical field involving substantial software development, or equivalent industry experience demonstrating deep technical mastery.

• 15+ years of experience designing, building, and evolving large-scale software systems with sustained impact across multiple teams or organisations.

• Demonstrated success operating at a Principal level, owning company-critical technical problems and influencing long-term technical direction.

• Strong experience building consumer-facing products at scale, with a deep understanding of user experience, performance, reliability, and operational excellence.

• Broad and deep technical expertise across multiple domains, including several of frontend, mobile, search, databases, storage systems, concurrency, and distributed systems.

• Practical experience applying modern ML, LLM-based APIs, and agentic frameworks in production systems, with sound judgment around quality, cost, and risk.

• Ability to communicate complex technical concepts clearly and persuasively to senior engineering, product, and executive audiences.

Preferred Qualifications:

• Experience defining and scaling company-wide platforms or architectural standards that are adopted across multiple organisations.

• Proven track record of leading the introduction of new technologies such as AI or ML into core products or engineering workflows with durable impact.

• Experience operating in highly distributed, virtual-first engineering organisations at global scale.

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We currently have 614 open roles

You are a visionary leader and technical expert with a passion for driving customer success in advanced semiconductor design. You thrive in dynamic, collaborative environments and excel at building and leading high-performance teams. With extensive experience in 3DIC design and multiphysics analysis, you have a proven track record of delivering innovative solutions to complex technical challenges.

Responsibilities

• Lead and mentor a team of applications engineers and sales specialists focused on 3DIC technology, fostering technical excellence and professional growth.
• Drive customer engagements, ensuring successful adoption and deployment of Synopsys 3DIC solutions across key accounts.
• Collaborate with R&D, product management, and account teams to define product direction and influence the 3DIC roadmap based on customer feedback and market demands.
• Develop and implement strategies for solving complex technical challenges related to 3DIC design, integration, packaging, and verification.
• Represent Synopsys at industry events, conferences, and customer meetings, showcasing thought leadership and technical expertise.
• Oversee the creation and delivery of technical collateral, including application notes, best practices, and training materials.
• Ensure continuous improvement of customer support processes and technical engagement models to maximize customer success and satisfaction.

Impact

• Leverage Ansys market-leading multiphysics analysis to accelerate the adoption of Synopsys' 3DIC solutions, driving revenue growth and expanding our leadership in advanced semiconductor markets.
• Shape the future of 3DIC technology through strategic customer partnerships and by influencing product innovation.
• Empower customers to overcome technical barriers, enabling them to deliver next-generation, high-performance silicon solutions.
• Enhance Synopsys' reputation as a trusted technology partner and thought leader in the 3DIC space.
• Drive cross-functional collaboration to deliver seamless, integrated solutions that address critical industry challenges.
• Foster a high-performance team culture that attracts, develops, and retains top engineering talent.
• Ensure customer feedback and market insights are systematically integrated into product development cycles.

Requirements

• Deep technical expertise in 3DIC planning, design, multiphysics analysis, and verification methodologies (EDA tools, advanced packaging, TSV, HBM, etc.).
• Proven leadership experience managing large, geographically distributed applications engineering or technical sales teams.
• Strong background in semiconductor design flows, system integration, and silicon implementation.
• Excellent problem-solving skills, with the ability to diagnose and resolve complex technical issues in real-time customer environments.
• Familiarity with industry standards and trends in advanced node technologies, packaging, and chiplet architectures.
• Experience collaborating with product management, R&D, and sales to drive product direction and customer success.

Team

You will lead the 3DIC Technical Sales and Applications Engineering team, a group of industry experts dedicated to enabling customer success with Synopsys' most advanced semiconductor technologies. The team works at the intersection of engineering, customer engagement, and product innovation, playing a pivotal role in shaping the future of 3DIC design. Together, you will drive technical excellence, foster strong customer relationships, and collaborate across Synopsys to deliver transformative solutions that set new industry standards.

We Are

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Kody is scaling rapidly, and we're looking for an exceptional VP of Engineering to lead our technical organisation through the next phase of growth. As a key member of the executive team, you'll play a pivotal role in shaping our engineering strategy, culture, and execution. This is a role for someone who thrives in a high velocity, global and purpose driven environment.

As VP of Engineering, you will be responsible for building and leading a high-performing engineering organisation aligned with Kody's values and mission. You'll define the technical vision, guide architectural decisions and ensure the delivery of scalable, secure and reliable platforms and products. You'll work cross-functionally with Product, Design, and Operations to bring our roadmap to life while fostering a strong engineering culture rooted in technical excellence and continuous improvement.

What You'll Be Doing:

• Lead the recruitment, development, and retention of a world-class engineering team.
• Setting and executing the engineering vision and technical direction in partnership with executive and product leadership.
• Defining and delivering engineering strategy that enables scalable and secure growth of Kody's platform and services.
• Drive engineering execution to ensure timely, high-quality delivery across all teams.
• Establish and monitor KPIs to track performance, code quality, system stability and deployment efficiency.
• Promote a culture of feedback, mentorship and career development through structured reviews and ongoing coaching.
• Collaborate closely with Product, Design, and Operations to align on priorities and roadmap planning.
• Champion modern development practices including CI/CD, testing, observability, and agile methodologies.
• Oversee architectural planning and ensure sound technical decision-making across backend, frontend, and infrastructure.
• Manage engineering budgets, headcount planning and resource allocation in alignment with company goals.
• Advocate for engineering needs and priorities at the leadership level, balancing business goals and technical feasibility.
• Maintain and evolve onboarding processes, documentation, and workflows to support rapid team scaling.
• Embed data security, privacy, and regulatory compliance into the Engineering culture.

Benefits

• Access to competitive Health Insurance (Medical and Dental)
• Access to Learning and Development
• Flexible time off and generous leave policy
• Participation in company equity or incentive plans
• A collaborative, inclusive culture where your work is valued and recognised

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximise the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate
• We encourage you to apply even if you do not believe you meet every single qualification
• Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses

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As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack.

You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities:

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with Claude Code, the Claude API, and Claude for Enterprise
• Create and deliver compelling technical content tailored to different audiences
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel frequently to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You may be a good fit if you have:

• Security clearance not required, but a plus
• Must have prior experience working with US federal agencies
• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Experience navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Familiar with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses.

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Location

Munich, Germany; Dublin, Ireland

Employment Type

Full time

Location Type

Hybrid

Department

About the role

We are looking for a Partner AI Deployment Engineer (ADE) to own OpenAI’s senior technical engagement with McKinsey, BCG, and Bain globally. This role is the primary technical point of contact for MBB advisory partners on complex enterprise proposals and transformation programmes, ensuring that OpenAI’s platform is positioned, architected, and deployed to support board-level AI agendas.

The role sits at the intersection of strategy, architecture, and execution. You will work directly with MBB partners and principals to translate executive ambition into scalable, production-ready AI programmes built on the OpenAI platform. You will operate across multiple industries and engagements, shaping solution direction, guiding architectural decisions, and orchestrating delivery across OpenAI and partner teams.

This role is based in Munich or Dublin. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

Act as the senior technical lead for McKinsey, BCG, and Bain across priority enterprise pursuits and transformation programmes.

• Serve as the primary technical counterpart to MBB Partners and Principals during proposal development and client engagements.

• Translate board-level AI strategies into executable technical architectures, delivery plans, and platform roadmaps.

• Provide architectural leadership across multiple concurrent programmes, ensuring consistency, quality, and alignment with OpenAI standards.

• Orchestrate ADEs and Forward Deployed Engineers (FDEs) across MBB-led engagements, engaging the right expertise at each phase.

• Guide partners and customers through critical decisions on platform design, scalability, governance, safety, and reliability.

• Support the development of repeatable industry solutions and transformation patterns built on the OpenAI platform.

• Act as a technical escalation point during complex or high-risk phases of delivery to reduce execution risk.

• Represent MBB partners internally, synthesising insights from large-scale programmes into actionable input for Product and Research teams.

You will thrive in this role if you:

• Have held a highly technical role at McKinsey, BCG, or Bain (e.g., Partner, Principal, Senior Expert, or equivalent) - preferred.

• Have 10+ years of experience in enterprise architecture, AI/ML platforms, solution delivery, or technology strategy.

• Bring a strong combination of deep technical expertise and commercial or advisory experience.

• Have led or supported large-scale enterprise transformation programmes alongside senior client executives.

• Possess industry expertise in at least one of the following: Financial Services; Pharma & Life Sciences; Healthcare; Retail.

• Are comfortable operating in ambiguous environments and balancing strategic intent with delivery constraints.

• Can engage credibly in boardrooms, executive workshops, and deep technical design sessions.

• Take ownership of outcomes and are comfortable leading without direct line authority.

• Bring a collaborative mindset and enjoy working across advisory partners, product teams, and GTM organisations.

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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