forward deployed engineer

forward deployed solution engineer – applied ai fde Jobs in London

senior forward deployed engineer Jobs in London

senior forward deployed engineer

senior forward deployed engineer - full stack Jobs in London

senior forward deployed engineer, full stack Jobs in London

HCLTech

City Of London, England
 Job Summary
 
Job Title: Forward Deployed Engineer (FDE), Gemini Enterprise
 The FDE is a hybrid of a Staff Software Engineer and a Strategic Consultant. You will be the technical lead responsible for deploying Gemini Enterprise App and Gemini Enterprise Agent Platform within client environments. You will architect and code the "connective tissue" that allows Gemini agents to reason across private enterprise silos, execute long-running workflows, and adhere to strict corporate governance.
 
Key Responsibilities
 
Key Responsibilities
 <ul>
<li>Agentic Architecture: Design multi-agent systems using the Agent Development Kit (ADK), implementing patterns like hierarchical delegation and self-reflection.</li>
<li>Production Implementation: Move beyond prototypes. You will write the production code that integrates Gemini agents with legacy APIs, SQL/NoSQL databases, and ERP systems (SAP, Salesforce, etc.).</li>
<li>The "Grounding" Expert: Build and optimize RAG (Retrieval-Augmented Generation) pipelines using Vertex AI Search and BigQuery, ensuring agents have "zero-hallucination" access to enterprise truths.</li>
<li>Governance & Security: Deploy Agent Identity and Agent Gateway protocols to ensure every AI action is auditable, secure, and compliant with regional data residency laws.</li>
<li>Field-to-Product Loop: Act as the "eyes and ears" for Google’s core engineering. Identify common friction points in the Agent Platform and collaborate with product teams to build reusable "Skills" and modules.</li>
</ul>
Skill Requirements
 
Technical Requirements
 Domain Stack Expertise
 AI/ML Platform Gemini 3.0, Gemini Enterprise Agent Platform, Agent Studio, Vertex AI
 Engineering Python (Advanced), Go or Java, TypeScript, REST/gRPC APIs
 Data Architecture BigQuery, Vector Search, AlloyDB, Apache Beam / Dataflow
 Orchestration Agent Development Kit (ADK), LangGraph-native patterns, Kubernetes (GKE)
 Ops & Eval Agent Evaluation (Auto-SxS), Agent Observability, CI/CD for LLMs
 
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AI Solution Architect I

RS UK

Since 2015, RS has been committed to supporting some of the biggest names in video games such as World of Warcraft, Marvel Rivals, etc to global success in the fields of advertising and marketing. With a reach which spans up to 600 million gamers across China and beyond, today we expand user bases and market share by providing the following services:<ul><li>Ad strategy</li><li>Brand advertising</li><li>Performance-based advertising</li><li>Influencer marketing</li><li>Creative production</li><li>Live streaming</li><li>Overseas distribution</li></ul>We are hiring a founding Forward Deployed Engineer (FDE). You will be the founding member of our London-based Forward Deployed Engineering (FDE) team, building the internal systems, data infrastructure and AI-enabled workflows that power our gaming marketing operations. This role will work closely with strategy, media buying, client services, and creative teams to turn business needs into practical software solutions. The ideal candidate is both technically strong and commercially aware. You should understand how gaming marketing campaigns are run, how performance is measured, and how to design tools that help the team make faster, better decision.Key responsibilities:<ul><li>Design, build and maintain internal tools, dashboards, and automation that support marketing analysis and campaign operations</li><li>Integrate and process data from platforms, such as Reddit, Discord, TikTok, Meta, Google and other relevant sources</li><li>Develop monitoring and alerting systems that identify creative performance issues, audience sentiment shifts, and campaign risks early</li><li>Partner with media buying teams to build reporting frameworks and KPI logic for matrics e.g. CPI, CPM, CPC, CTR, and ROAs, and retention</li><li>Work with non-technical teams to understand business problems and convert them into clear technical requirements</li><li>Develop AI-assisted workflows for data interpretation, alerting, classification and reporting</li><li>Maintain documentation, improve internal processes, and ensure tools are reliable and scalable</li><li>Collaborate with stakeholders to test, refine, and roll out solutions across live campaigns</li><li>Feed operational insights back into product and engineering improvements</li></ul>Required skills and experience<ul><li>Strong expereince in software engineering, data engineering, full-stack development, or related technical roles</li><li>Proficiency in Python, SQL and API integration,and modern data tooling</li><li>Experience building internal tools, dashboards or workflow automation systems</li><li>Strong understanding of analytics, data pipelines and automation</li><li>Ability to communicate effectively across technical and non-technical teams</li><li>Comfortable working in a fast-paced environment with evolving priorities and ambiguous requirements</li><li>Strong problem-solving skills and attention to detail</li></ul>Preferred experience<ul><li>Experience in gaming, digital marketing, performance marketing, influencer marketing or creator ecosystems</li><li>Familiarity with social media or community platforms</li><li>Experience with AI tools, LLM workflows, or machine learning-assisted automation</li><li>Understanding of creative testing, media optimisation and campaign measurement methodologies</li><li>Experience building experimentation, monitoring, or decision-support systems</li></ul>Pay: From &pound;55,000.00 per yearWork Location: In person

Forward Deployed Engineer

Databricks

<div>Req ID: CSQ127R149
Location: London, United Kingdom - Hybrid
Recruiter: Dina Hussain
We&rsquo;re hiring for multiple roles within our FDE team.
As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects, including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customers' needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Experience in data engineering, data platforms &amp; analytics, or software engineering / full stack development</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification - an advantage</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer

<div>REQ ID: FEQ127R254
Location: Hybrid &ndash; London
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Extensive experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification preferred but not essential</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer, Full Stack

<div>Requisition # CSQ327R148
As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data &amp; AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.
This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.
The impact you will have:
<ul><li>Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration</li>
<li>Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer</li>
<li>Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.</li>
<li>Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.</li>
<li>Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.</li>
<li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.</li>
<li>Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.</li>
<li>Reusable Assets &amp; Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.</li>
</ul>What we look for:
<ul><li>Extensive experience in data engineering, data platforms &amp; analytics, or software engineering</li>
<li>Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks</li>
<li>Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one</li>
<li>Deep experience with distributed computing with Apache Spark&trade; and knowledge of Spark runtime internals</li>
<li>Familiarity with CI/CD for production deployments</li>
<li>Working knowledge of MLOps, ML/AI models and AI APIs</li>
<li>Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.</li>
<li>Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.</li>
<li>Documentation and white-boarding skills.</li>
<li>Experience working with enterprise clients and managing conflicts across a broad stakeholder range</li>
<li>Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.</li>
<li>Travel to customers 20% of the time</li>
<li>Databricks Certification</li>
</ul><div>About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide &mdash; including Comcast, Cond&eacute; Nast, Grammarly, and over 50% of the Fortune 500 &mdash; rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark&trade;, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
 
 
Benefits
 
 
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 
 
 
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</div></div>

Senior Forward Deployed Engineer - Full stack

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>10 years of experience in partner management, business development, sales, or channel development in the technology industry.</li>
<li>Experience participating in or coordinating artificial intelligence and machine learning (AI/ML) technical transformations utilizing a forward deployed engineering (FDE) or embedded delivery model.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience launching partner products and solutions, including complex channel go-to-market motions such as multi-partner solutions, procurement through cloud marketplaces, and consumption-based solutions; experience planning and managing at strategic and operational levels.</li>
<li>Experience managing and growing technology partnership relationships with cross-functional teams internally and externally.</li>
<li>Experience interfacing with, and being a trusted partner for, C-level executives in partner companies.</li>
<li>Proficiency with Google Cloud AI offerings (e.g., Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source developer tool harnesses. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As the Strategic Partner Development Manager, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud&rsquo;s Product Management, Engineering, Marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners&rsquo; sales organizations.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence.</li>
<li>Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures.</li>
<li>Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud.</li>
<li>Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal Cloud AI Product and Engineering teams.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Strategic Partner Development Manager, AI Pureplay, EMEA

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>15 years of experience in partner management, business development, sales, or channel development in the technology industry.</li>
<li>Experience participating in or coordinating AI/ML technical transformations, utilizing FDE or embedded delivery model.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience launching partner products and solutions, including complex channel go-to-market motions such as multi-partner solutions, procurement through cloud marketplaces, and consumption-based solutions.</li>
<li>Experience managing and growing technology partnership relationships with cross-functional teams internally and externally.</li>
<li>Experience planning and managing at strategic and operational levels.</li>
<li>Experience interfacing with, and being a trusted partner for, C-level executives in partner companies.</li>
<li>Proficiency with Google Cloud AI offerings (Vertex AI, Gemini, ADK) and familiarity with modern multi-agent systems (e.g., LangGraph, CrewAI), coding agents, and open-source developer tool harnesses.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
As a Strategic Partner Development Manager, AI Pureplay, you will drive the recruitment strategy of new partners into the portfolio and accelerate their adoption of Google Cloud services. You will work across Google Cloud&rsquo;s product management, engineering, marketing, and customer-facing organizations to foster strong executive alignment with these partners, develop a co-innovation plan for new solutions and orchestrate the co-sell motion between Google Cloud and the partners sales organizations.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Coordinate day-to-day operations of capacity planning models to match scarce, high-value partner Forward Deployed Engineer (FDE) resources with high-stakes customer accounts, track engagement pipelines, manage staffing models, and monitor delivery milestones to safeguard co-sell and delivery excellence.</li>
<li>Support partner teams as they embed directly within enterprise accounts, helping them navigate complex customer environments and successfully bridge multi-agent orchestration with legacy corporate databases and hybrid architectures.</li>
<li>Drive the ground-level execution of commercial structures that accelerate time-to-value and Return on Investment (ROI) for the customer, scale business for the partner, and maximize platform consumption for Google Cloud.</li>
<li>Act as a critical touchpoint between partner engineers, Google Cloud Sales teams, and technology Leadership, gathering real-world field insights and technical bottlenecks directly from partner deployments, helping synthesizing feedback back to internal cloud AI product and Engineering teams.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Strategic Partner Development Manager, AI Pureplay

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