product owner

<div>Role description 
Technical Product Owner / Technical Product Manager &ndash; Agentic AI

Location: Leeds (Hybrid) 
Engagement Type: Contract (Inside IR35) or Fixed-Term Employment 
Start Date: ASAP 


We are seeking an experienced Technical Product Owner / Technical Product Manager to support a strategic Device Management Modernisation initiative leveraging Agentic AI capabilities.

Working closely with Product, Engineering, Architecture, and Business stakeholders, you will drive product outcomes, translate business needs into technical solutions, and help deliver innovative AI-powered capabilities while ensuring continuity of existing business processes. 


Key Responsibilities:
<ul>
<li>Own and drive product outcomes across the modernisation programme.</li>
<li>Define product priorities, roadmap, and requirements in collaboration with business and technology stakeholders.</li>
<li>Translate business objectives into clear user stories and delivery-ready requirements.</li>
<li>Manage and prioritise the product backlog to maximise business value.</li>
<li>Partner with Engineering and Architecture teams to deliver scalable, high-quality solutions.</li>
<li>Support the design and delivery of Agentic AI use cases and workflows.</li>
<li>Embed Responsible AI, governance, security, and compliance considerations into product delivery.</li>
<li>Act as the primary bridge between Product, Engineering, and Business teams, ensuring alignment throughout delivery.</li></ul> 


What You'll Bring:

Product &amp; Delivery
<ul>
<li>Proven experience as a Technical Product Manager, Technical Product Owner, or similar role in a technology-led environment.</li>
<li>Strong understanding of product operating models, product lifecycle management, and Agile delivery.</li>
<li>Experience leading technology transformation or modernisation initiatives.</li>
<li>Ability to translate business requirements into engineering-ready solutions.</li></ul> 


Agentic AI &amp; GenAI

Working knowledge of:
<ul>
<li>Agentic AI concepts, including multi-agent orchestration, RAG, AI tool/API integration, memory frameworks, and Responsible AI controls.</li>
<li>Large Language Models (LLMs), prompt engineering, evaluation approaches, and cost, latency, and accuracy trade-offs.</li></ul> 


Technical &amp; Stakeholder Skills
<ul>
<li>Experience working closely with Engineering, Architecture, and Product teams.</li>
<li>Understanding of cloud-native and API-driven architectures.</li>
<li>Strong stakeholder management, communication, and influencing skills.</li>
<li>Ability to engage effectively with both technical and non-technical audiences.</li></ul> 


Nice to Have
<ul>
<li>Experience delivering AI, GenAI, Machine Learning, or Intelligent Automation solutions.</li>
<li>Experience with Microsoft AI, Azure AI, OpenAI, Copilot, or similar AI platforms.</li>
<li>Background in enterprise technology transformation or device management environments.</li></ul> 


Why Join Us?

Join a high-profile transformation programme and play a key role in shaping the next generation of AI-enabled products while working alongside leading product, engineering, and AI specialists.

Hurry &amp; Apply! 
#UST 
Skills 
agentic ai,life cycle management,artificial intelligence,product management, 
About UST 
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div>

Technical Product Owner / Technical Product Manager – Agentic AI (Lead I - Software Engineering)

Civica

<div>We&rsquo;re Civica, and we create software that helps deliver critical services for citizens all around the world. From local government, to education, health, and care, over 5,000 public bodies across the globe use our software to provide essential services to over 100 million citizens.
Our aspiration is to be a GovTech champion everywhere we work, supporting the needs of citizens and those who serve them every day. Building on 21 years of continuous growth and success, we're at a pivotal point in our journey to realise that aspiration.
Why you will love this opportunity as Product Manager at Civica
As a Product Manager, you will be responsible for defining the strategic vision for your team driven by Civica&rsquo;s overall vision and creating product roadmaps that align to Civica&rsquo;s strategic goals.
You will be responsible for leading other product managers, collaborating with product design, user research, engineering and commercial teams. Overseeing lifecycle management of your product, ensuring alignment with the company&rsquo;s mission and vision of becoming a global GovTech champion, whilst delivering critical products and services to citizens around the world.
You will be an expert in creating clear and precise customer and outcome focused requirements. You will lead by example and have hands on execution of the product strategy for your product delivery, ensuring that product development practices and roadmaps are aligned to our global vision, to maximise productivity and growth.
What you will do to be successful in this role as Product Manager
Key responsibilities:<ul><li>
Contribute to the strategy and direction of travel for the Civica Pensions product set.
</li><li>Socialise the pensions product direction of travel with stakeholders and customers.</li><li>
Prioritise the pensions enhancements (Software &amp; regulatory change) in line with market and business priorities.</li><li>
Develop and maintain a deep understanding of customer needs, market trends, and business goals to define and refine the product roadmap
</li><li>Work closely with various stakeholders, including engineering, design, marketing, commercial, and customer success teams to ensure successful product development and launch
</li><li>Conduct customer interviews, surveys, and market research to gather feedback and insights that inform product decisions
</li><li>Hands-on approach to defining and prioritising product requirements to guide the engineering process
</li><li>Oversee the entire product development lifecycle, from concept to launch, ensuring timely and successful delivery of product features and releases
</li><li>Plan and execute successful product launches collaborating closely with Product Marketing team, including developing launch plans, positioning, and messaging
</li><li>Analyse data and metrics to measure product performance, identify areas for improvement, and make informed data-driven product decisions
</li>Champion a strong culture of knowledge sharing and product decision and design documentation 
<li>
</li></ul> 
 
Requirements 
<ul><li>
Must have strong experience of Product managing of Pensions software solutions.</li><li>
Should have extensive experience of local government or public sector pensions software solutions and regulation.</li><li>
Strong product management experience, working in a modern software or product led organisation</li><li>
Experience operating with Agile development methodologies to manage product development and collaborate with engineering teams</li><li>
Ability to navigate and address the complexities of product lifecycle management.
</li><li>Strong analytical skills to collect, analyse, and interpret data to inform product decisions and identify market opportunities
</li><li>Capable of prioritising features, requirements, and tasks based on customer needs, business goals, and technical feasibility
</li><li>Driving force behind building and execute a product roadmap and strategy that aligns with customer needs and company goals
</li><li>Ability to work effectively with cross-functional teams, including engineering, design, marketing, sales, and customer success</li>
Experience crafting compelling stories to communicate product vision, value, and benefits to various stakeholders at different levels 
<li>
</li></ul>We Want You to Bring Your Whole Self to Work 
 
There is no such thing as the perfect candidate, so if you think you have what it takes but don't necessarily meet every single point on the list above, please still get in touch. We'd love to have a chat and see if you could be a great fit.
Why You'll Love Working with Us 
 
As a company, we're passionate about what we do and the citizens we serve. If you, too, want to champion the use of technology in public services to improve outcomes for citizens and public sector organizations, then Civica is the right place for you. We will help you unlock the best version of yourself, achieve career growth, and make a real difference to people and communities.
 
 
We know that when our people are happy, they work better and have greater job satisfaction. Here's what you can expect: 
Benefits 
Time Off &amp; Work-Life Balance
✔ 25 Days Annual Leave + bank holidays &ndash; plus the option to buy up to 10 extra days! 
✔ Days of Difference &ndash; Up to 3 extra days off for volunteering.
Financial Well-being &amp; Security
✔ Pension Contributions &ndash; 5% employer match to support your future. 
✔ Income Protection &ndash; Up to 75% salary cover for long-term illness. 
✔ Life Assurance &ndash; 4x salary tax-free lump sum. 
✔ Critical Illness Cover &ndash; &pound;25,000 lump sum (extendable to dependents).
Health &amp; Perks
✔ Private Medical Insurance &ndash; Fast access to private healthcare. 
✔ Health Cash Plan &ndash; Claim back physio, therapies &amp; more. 
✔ Dental Insurance &ndash; Cover for routine &amp; emergency care. 
✔ Affinity Groups &ndash; Join employee-led communities. 
✔ Bounty Bonus &ndash; Refer a friend &amp; get rewarded. 
At Civica, we are committed to building an inclusive and diverse workplace where everyone feels valued and supported. We believe that a variety of perspectives drives innovation and excellence, and we welcome applicants from all backgrounds, cultures, and experiences.
We are an equal opportunity employer. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, disability, age, or any other legally protected characteristic. Our recruitment process is designed to ensure fairness and transparency, so every candidate has an equal chance to contribute to our mission.
If you need any adjustments or accommodations to participate in our recruitment process, please let us know. We are here to support you.</div>

Product Manager - Pensions

<div>Director, Applied AI Product Manager 
At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. 
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. 
We&rsquo;re seeking a future team member for the role of Director, Applied AI Product Manager to join our EMEA Innovation / Strategic Partnerships, Investments &amp; Innovation team. This role is located in London, UK. 
In this role, you&rsquo;ll make an impact in the following ways:
Product strategy and opportunity framing
Define product vision, strategy, and roadmap for AI-enabled transformation opportunities.
Translate complex business or client problems into clear opportunity statements, product hypotheses, MVP scopes, PRDs, and execution plans.
Identify high-value opportunities for AI, intelligent automation, LLMs, workflow redesign, decision intelligence, and agentic solutions.
Partner with business sponsors, designers, AI Hub, engineering, data, risk, and platform teams to shape solutions that are valuable, feasible, usable, and governable.
Help convert discovery outputs into prioritised product opportunities, build paths, or handoff recommendations.
AI-enabled product development
Shape AI-enabled workflows, agent concepts, decision-support tools, prototypes, and product solutions.
Define what should be automated, augmented, escalated, or kept human led.
Work with technical partners to define orchestration needs, data requirements, permissions, integration considerations, model behaviour, and evaluation needs.
Use approved AI tools and methods to accelerate research, synthesis, product thinking, requirements development, prototyping, and decision support.
Critically evaluate AI outputs for quality, accuracy, bias, limitations, risk, and fitness for purpose.
Delivery, experimentation, and measurable outcomes
Lead cross-functional delivery from opportunity framing through prototype, MVP, pilot, or handoff.
Establish clear success metrics linked to productivity, operational efficiency, risk reduction, adoption, client experience, revenue support, or decision quality.
Drive fast learning loops through hypothesis testing, experimentation, user feedback, and evidence-based prioritisation.
Balance speed with control, ensuring responsible AI, data, compliance, security, operational resilience, and risk considerations are embedded early.
Create executive-ready narratives, decision packs, and product artefacts that support senior stakeholder alignment.
Stakeholder and team leadership
Partner with senior stakeholders across business lines, operations, technology, design, risk, compliance, and commercial teams.
Communicate complex AI and product concepts in clear, practical, outcome-focused language.
Work fluidly in small multidisciplinary teams, contributing beyond narrow role boundaries while maintaining clear accountability.
Mentor and support colleagues as the team builds stronger AI product capability.
Help create a team culture built on trust, constructive challenge, continuous learning, and shared ownership of outcomes. 
To be successful in this role, we&rsquo;re seeking the following:
Significant experience in AI product management, digital product management, enterprise product development, AI-enabled transformation, or technology-led business change.
Strong understanding of generative AI, LLM-enabled systems, intelligent automation, agentic workflows, and AI-enabled product capabilities.
Experience translating complex business problems into product strategies, requirements, roadmaps, prototypes, or delivery plans.
Ability to work with engineering, data science, AI Hub, design, business, and risk teams to shape practical solutions.
Strong understanding of enterprise technology concepts such as APIs, workflows, data flows, permissions, integration layers, observability, and production-readiness.
Experience operating in complex, regulated, or highly governed environments.
Strong stakeholder management, executive communication, prioritisation, and delivery leadership skills.
Ability to define and measure outcomes, not just deliver outputs.
<ul><li>We are looking for people who can thrive in a fast-moving, AI-enabled, high-trust team environment. The strongest candidates will be:
</li></ul>Comfortable with ambiguity and able to create structure without waiting for perfect framing.
Curious, self-directed, and able to learn new domains quickly.
Collaborative and team-oriented, with a willingness to build on others&rsquo; ideas and adapt when evidence changes.
Confident giving and receiving constructive feedback across all levels.
Resilient under pace, feedback, uncertainty, and changing priorities.
Strong communicators who can explain decisions, trade-offs, and risks clearly.
Evidence-led rather than opinion-led.
Risk-aware without being risk-averse.
Excited by continuous learning and willing to help others develop.
Comfortable operating across product, design, AI, data, engineering, risk, and business strategy.
Experience building or scaling AI-enabled products, internal platforms, workflow tools, agents, or automation capabilities.
Experience with AI product evaluation, model performance, responsible AI, prompt design, RAG, knowledge graphs, or agent orchestration.
Experience in financial services, capital markets, asset servicing, banking, payments, operations, risk, compliance, or data-intensive enterprise environments.
Experience working in innovation, venture-building, consulting, transformation, or emerging technology teams.
Product certifications, agile certifications, AI specialisations, or advanced degrees are helpful but not required where equivalent experience is demonstrated. 
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn 
Here&rsquo;s a few of our recent awards:
<ul><li>America&rsquo;s Most Innovative Companies, Fortune, 2025
</li><li>World&rsquo;s Most Admired Companies, Fortune 2025
</li>&ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025 
<li>
</li></ul>Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. 
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.</div>

Director, Applied AI Product Manager

Worldpay

<div>Ready to take your career global?
Make your mark at one of the biggest names in payments.
We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators&mdash;including ML research engineers, product managers, and platform engineers&mdash;to deliver scalable, reliable, and low-latency ML solutions.
In addition to technical expertise, this job requires strong collaboration skills.
What you&rsquo;ll own
Feature Development &amp; Delivery:<ul><li>
Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.</li></ul>
Technical Ownership and Stewardship:<ul><li>
Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.</li><li>
End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.</li></ul>
Contribute to ML platform:<ul><li>
Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.</li></ul>
Operational Excellence:<ul><li>
Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards.</li><li>
Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge.</li></ul>
Continuous Improvement:<ul><li>
Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.</li></ul>
Release Management:<ul><li>
Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.</li></ul>
Leadership:<ul><li>
Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges.</li><li>
Mentor and coach other engineers, supporting their professional growth.</li><li>
Foster a culture of collaboration, continuous improvement, and knowledge sharing.</li></ul>
Act Like an Owner:<ul><li>
Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity.</li><li>
Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.</li></ul>
What you&rsquo;ll bring<ul><li>
5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience</li><li>
Proven expertise with ML model deployment, API design, and integration into production environments</li><li>
Strong Python programming and relevant ML/data libraries</li><li>
Experience with containerization, orchestration, and AWS cloud services</li><li>
Building and operating CI/CD pipelines</li><li>
Monitoring, troubleshooting, and optimizing production ML systems</li><li>
Pre-release testing and release management</li><li>
Demonstrated ability to work independently, navigate ambiguity, and deliver results</li><li>
Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams</li><li>
Experience with OpenAPI, FastAPI, or similar</li></ul>
It&rsquo;s a bonus if you have<ul><li>
Experience with MLFlow, model versioning, and storage</li><li>
Familiarity with Databricks or similar platforms</li><li>
Experience supporting high-volume, real-time data products</li><li>
Automated testing and validation frameworks</li><li>
Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB</li><li>
Experience with Terraform Cloud</li><li>
Experience in large companies, mature engineering teams, and/or highly regulated industries</li><li>
AI-assisted coding experience (e.g. GitHub Copilot)</li></ul>
Why Join Us?<ul><li>
Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company&rsquo;s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.</li><li>
Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.</li><li>
Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.</li></ul>
About the team
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, whom you can learn from as you grow your career. The people, the energy, and the connections are unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that transcend borders.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner, and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and our passion drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
#LI-AB1</div>

Senior ML Software Engineer

Voxquill

<div>I'm looking for our founding engineer!
 
The person who takes a live, paying fintech product and makes it truly ours.
We build receipt-and-proof automation for the self-employed: the app quietly finds your receipts (email, bank feeds, camera roll, texts), sorts them, matches them to your bank transactions, and produces accountant-ready exports. It's live on iOS and Android, it's SOC 2 certified, and people are paying for it. The model works.
I need one person who treats this codebase as theirs, ships fast, and owns the platform end-to-end. This is a founding engineer role with a real path to CTO.
Your first job is to take the keys.
 
Move the platform off the agency's Azure into ours, take custody of production, and the headline deliverable.
 
Build the automated test suite this codebase never had, with a CI/CD pipeline where a green build genuinely means &quot;safe to ship.&quot; Then you own the roadmap.
How we build matters as much as what we build.
 
We are not rebuilding an IT shop of tickets and manual QA.
 
Terrapin runs as an AI-native pod: Claude Code and agents do the repetitive work and produce tested, PR-ready changes; you own architecture, review, security, and the hard 20%.
 
AI gives you the velocity, your tests and pipeline are what keep that velocity from turning into breakage!
We want to ship multiple times a week and almost never break anything, and hold our SOC 2 line the whole way. If that model excites you rather than worries you, you're the person.
This is genuinely full-stack.
 
Strong .NET / C# backend on Azure, real ownership of infra, security, and DevOps, and polished mobile (React Native + Expo, iOS and Android); Because the app is the product. Testing isn't someone else's job here. It's the core discipline.
The kind of person whose teammates would describe as:<ul><li>
an owner, not a ticket-taker</li><li>
obsessive about shipping quality fast</li><li>
calm owning production for a product with real money moving through it</li><li>
someone who builds automation instead of doing the same thing twice</li><li>
security-minded by instinct, not as an afterthought</li></ul>
What you'd bring:<ul><li>
Senior+ .NET / C# backend, PostgreSQL, solid API design</li><li>
Real Azure ownership: App Services, networking, Key Vault, identity, CI/CD (Azure DevOps or similar)</li><li>
Strong React Native + Expo mobile, with genuine UI/UX taste</li><li>
Test automation and CI/CD as a way of life &mdash; you write the tests with the code</li><li>
Hands-on building with Claude Code / agent tooling, and doing it safely in a SOC 2 world</li></ul>
Bonus points: fintech / payments background, Plaid experience, or applied LLM work.
And the reason the right engineer will actually stay: receipts are just the wedge. We're building toward a verifiable, tamper-evident record of an economic event. Proof that banks, insurers, and AI agents can consume directly. Stripe is a payment rails. We're building proof rails.
You'd work directly with me every day &mdash; 18+ years in fintech and payments, two exits behind me &mdash; so you own the engineering but never carry the hard architecture, security, or product calls alone.
The details:
 
UK or EU-remote(temporarily), with solid overlap to UK hours and business trips.
We're genuinely open to strong candidates across both. Being open to relocating to the UK down the line is a plus, but not a day-one requirement.
 
Competitive base plus real founding-level equity.
One hard line: you build quality in through tests and CI/CD. We're deliberately leaving the manual-testing, hope-it-works world behind, and a dev who treats testing as optional isn't the hire. Everything else, we can talk about.
If you want founder-level ownership, a CTO trajectory, and an AI-native way of building, and owning a live fintech platform from week one lights you up, let's talk.
Apply and tell me about something you shipped that you're proud of, and one thing you broke and how you made sure it never happened again.</div>

Founding Engineer (Full Stack); Patch to CTO

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 
</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>1 year of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.</li>
<li>Experience with core GenAI concepts (e.g., LLM, Multi-Modal, Large Vision Models) and text, image, video, or audio generation.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or a related technical field.</li>
<li>2 years of experience with data structures and algorithms.</li>
<li>Experience in solving customer problems by navigating ambiguous requirements to deliver effective technical solutions and tangible business outcomes.</li>
<li>Experience in Vertex AI, BigQuery, Cloud Storage, Dialogflow.</li>
<li>Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).</li>
<li>Ability to be flexible and resilient in dynamic environmentsto take ownership and respond to urgent business or customer issues.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be at the forefront of applying Google's Generative AI to solve real-world issues for our customers. You will act as a specialized software developer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our customer engagement suite (CES) platform. You will bridge the gap between our core product engineering teams and customer needs, directly accelerating customer success and shaping the future of our AI products.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner directly with select, customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.</li>
<li>Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase to resolve critical customer issues. 
</li>
<li>Be able to systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization. 
</li>
<li>Serve as a critical feedback loop to our core Product and Engineering teams. Synthesize firsthand insights from the field to influence product strategy and identify gaps. 
</li>
<li>Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.</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>

Software Engineer, Agent Building, Applied AI, Google Cloud Platform

Databricks

<div>As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS Databricks alliance across the region &mdash; today a $220M trailing-year consumption book growing at +69.7% YoY, the largest hyperscaler-driven consumption book in EMEA after Microsoft. You are the named Databricks counterpart that the AWS field (PSAs, PDMs, SAs) routes opportunities to, the convener of the EMEA AWS SME community, and the author of the &quot;better-together&quot; technical narrative for Databricks on AWS.
You will engage AWS field and partner leadership, Databricks Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS &mdash; through executive alignment, large-scale partner enablement, joint product contribution, and multicloud architectural arbitration in our most strategic EMEA accounts.
Reporting to: Director, Field Engineering (Partner Solutions Architect).
<h2 class="jobSectionHeader">What the role owns:</h2>
<ul><li>AWS-sourced pipeline &amp; EMEA AWS consumption growth &mdash; act as the single EMEA-wide SPOC for the AWS field. Channel AWS-sourced opportunities into Databricks (FY26: 150+ opportunities, ~$60M ARR pipeline, ~$10M realised, 35 net-new greenfield accounts) and carry the FY27 plan-of-record of +60% YoY growth / $297.86M target.</li>
<li>The EMEA AWS SME community &mdash; convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs (~15&ndash;20 members across UKI, France, Spain, Italy, Benelux, Nordics, MEA, Germany). Land the ASQ-scope expansion (SWAT pattern) and run the joint operating cadence with the Databricks TFC at AWS. This is the mechanism that scales the role from single-person execution to field-distributed delivery.</li>
<li>Partner enablement at scale &mdash; sustain the training engine that feeds pipeline 2&ndash;3 quarters out (300+ AWS Solutions Architects trained in EMEA in FY26; 50+ Databricks xSAs to AWS SA-Associate at zero net cost via the AWS Partner Training Databricks L&amp;E channel; 0-to-GenAI workshops, Lakehouse Days, regional meetups). Maintain the AWS Field Engineering Playbook.</li>
<li>Joint product contribution &amp; reference architectures &mdash; own the assets that lower time-to-first-DBU and unblock deployments: AWS Marketplace QuickLaunch (&quot;Moonwalk+&quot;), Agent Bricks Amazon Bedrock automation, the CloudFormation networking package, the AWS data-exfiltration-protection (DEP) architecture, the remote-S3 strict-residency pattern, and the EMEA cloud-consumption dashboard.</li>
<li>Strategic-account unblock &amp; multicloud arbitration &mdash; lead technical arbitration in EMEA's dense multicloud accounts (BP, EasyJet, Klarna, ABSA, ADIA, Mercedes-Benz, BNP Paribas and others), where a single architectural decision can swing $1M+ ARR.</li>
<li>Executive alignment &amp; external brand &mdash; run QBRs with named AWS regional leaders at BU+1, and be the EMEA technical voice at AWS Summits, DAIS, and Re:Invent EMEA.</li>
</ul><h2 class="jobSectionHeader">The impact you will have:</h2>
<ul><li>Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and Databricks resources and providing the technical expertise to win and expand multicloud accounts.</li>
<li>Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts, protecting and growing Databricks' hyperscaler revenue mix.</li>
<li>Grow field-wide AWS capability &mdash; through the SME community, certification programmes, and reusable architectures &mdash; so AWS depth is distributed across the EMEA field rather than concentrated in one person.</li>
<li>Develop and sustain senior AWS executive relationships that surface new opportunities, sharpen competitive positioning, and anchor joint go-to-market.</li>
</ul><h2 class="jobSectionHeader">What we look for:</h2>
<ul><li>Extensive hands-on experience as a data professional in a modern, cloud-based data stack.</li>
<li>Hyperscaler-alliance experience (AWS strongly preferred) with credibility to be the EMEA SPOC for the AWS field and to convene a cross-region SME community.</li>
<li>AWS-specific technical depth &mdash; PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation.</li>
<li>At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.</li>
<li>Ability to collaborate with partner and customer organisations at senior-executive level, aligning their objectives to Databricks products and services.</li>
<li>Proven ability to run training sessions, workshops, and webinars, and to author technical content (whitepapers, reference architectures, solution guides, playbooks).</li>
<li>Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code (e.g. CloudFormation).</li>
<li>Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI on MPP-based platforms.</li>
<li>Managing multiple, frequently changing priorities across multiple teams.</li>
</ul>The role requires up to 40% travel across EMEA &mdash; to customer and AWS partner sites, AWS EMEA offices, and the key partnership moments of the year (AWS Summits across EMEA, DAIS, Re:Invent).
<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>

AWS Cloud Partner Solutions Architect — EMEA

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