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lead ai product manager

principal product manager

Hiscox

<div>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Permanent
 <br/>
 <br/>
 <strong>
  Build a brilliant future with Hiscox
  <br/>
  <br/>
 </strong>
 <strong>
  Principal Machine Learning Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 London/York
 <br/>
 <br/>
 <strong>
  Why Hiscox London Market
  <br/>
  <br/>
 </strong>
 Hiscox London Market sits at the centre of global specialist insurance, tackling some of the most complex and unusual risks in the world. These are not commoditised problems, they demand deep expertise, strong judgement, and increasingly, sophisticated data and machine learning capabilities.
 <br/>
 <br/>
 We have a strong track record of putting AI into real production use, from augmenting underwriting decisions to shaping future market standards through partnerships and market‑first innovation. This is an environment where advanced ML systems are expected to operate reliably, safely, and at scale, not remain in experimentation.
 <br/>
 <br/>
 You&rsquo;ll join a culture that values technical excellence, ownership, and courage, where senior individual contributors are trusted to set direction, challenge thinking, and build platforms that matter. For a Principal Machine Learning Engineer, this is a chance to work on high‑impact ML systems, influence how AI is adopted across the London Market, and help shape the future of insurance.
 <br/>
 <br/>
 <strong>
  Role Purpose
  <br/>
  <br/>
 </strong>
 As a
 <strong>
  Principal Machine Learning Engineer (MLE)
 </strong>
 , you bring a wealth of experience in building, scaling, and operating production machine learning systems, and use that experience to provide deep technical leadership across machine learning engineering and MLOps.
 <br/>
 <br/>
 You play a key role in shaping the architectural strategy for production ML systems and the ML Platform, working closely with Data Science, Engineering, and Platform teams to define patterns, standards, and tooling that enable reliable, repeatable delivery at scale. Through hands‑on contribution, design leadership, and technical mentorship, you help teams navigate complex technical decisions and build robust, maintainable systems.
 <br/>
 <br/>
 A central focus of the role is enabling the organisation to move quickly without sacrificing quality, evolving the ML platform, supporting the transition from experimentation to production, and helping teams adopt modern engineering practices. This includes championing the effective and responsible use of AI‑assisted development tools as part of a broader approach to improving developer experience, system quality, and long‑term sustainability.
 <br/>
 <br/>
 Success in this role comes from the practical application of deep experience, strong architectural thinking, and the ability to help others build better systems that deliver real business value.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
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  <br/>
 </strong>
 <strong>
  Technical Leadership &amp; Ownership (Individual Contributor)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Act as the technical lead for Machine Learning Engineering and MLOps across London Market.
  </li>
  <li>
   Technically lead the most complex and business‑critical ML systems, from architectural design through to production operation.
  </li>
  <li>
   Define and evolve production ML patterns and best practices, covering deployment, orchestration, monitoring, retraining, and decommissioning.
  </li>
  <li>
   Lead deep technical decision‑making, balancing scalability, reliability, security, and developer experience.
  </li>
  <li>
   Contribute hands‑on to critical systems, frameworks, and platform components where the complexity or impact demands it.
  </li>
  <li>
   Define best practices and guardrails for the use of AI‑assisted coding tools, ensuring they are used to improve productivity and code quality without compromising maintainability or operational safety.
  </li>
  <li>
   Lead by example in applying AI‑assisted development techniques (e.g. for prototyping, refactoring, and accelerating complex engineering work) with strong engineering judgement.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  ML Platform Strategy &amp; Build‑Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner closely with Group and Platform teams to design, build, and evolve the ML Platform, ensuring it supports:
  </li>
  <ul>
   <li>
    Reusable and scalable deployment patterns
   </li>
   <li>
    CI/CD for machine learning
   </li>
   <li>
    Full model lifecycle management
   </li>
   <li>
    Monitoring, observability, and alerting
   </li>
   <li>
    Secure and compliant operation
   </li>
  </ul>
  <li>
   Shape platform standards and interfaces that enable consistent ML delivery across squads and value streams.
  </li>
  <li>
   Lead technical spikes and proof‑of‑concepts to evaluate new tools, approaches, and architectural patterns.
  </li>
  <li>
   Influence developer tooling choices so that AI‑assisted coding tools integrate safely with CI/CD, testing, and governance workflows.
  </li>
  <li>
   Ensure the platform enables fast, safe experimentation while supporting robust, long‑lived production systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Governance, Reliability &amp; Commercial Impact
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ensure ML systems meet architecture, security, compliance, and operational standards.
  </li>
  <li>
   Define and implement robust frameworks for monitoring technical health, model performance, and commercial impact of ML systems in production.
  </li>
  <li>
   Champion operational excellence across ML services, including monitoring, alerting, incident management, and post‑incident learning.
  </li>
  <li>
   Ensure clear ownership and lifecycle management for models and ML‑backed services.
  </li>
  <li>
   Promote responsible use of automation and AI‑assisted tooling in safety‑critical or regulated contexts.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Influence
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with the Data Science team to ensure a smooth and repeatable transition from experimentation to production.
  </li>
  <li>
   Collaborate with software engineers, product managers, and business stakeholders to deliver end‑to‑end ML‑driven solutions.
  </li>
  <li>
   Act as a senior technical voice in design reviews, architecture forums, and strategic discussions.
  </li>
  <li>
   Influence technical direction and standards through expertise, credibility, and collaboration rather than line management.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Mentorship &amp; Capability Development
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Provide hands‑on technical mentorship to Machine Learning Engineers and Data Scientists.
  </li>
  <li>
   Raise engineering standards by sharing best practices, patterns, and lessons learned from real production systems.
  </li>
  <li>
   Coach teams on the effective and critical use of AI‑assisted coding tools, reinforcing the importance of code review discipline, testing, and long‑term maintainability.
  </li>
  <li>
   Contribute to technical hiring, assessment, and onboarding from a senior engineering perspective.
  </li>
  <li>
   Help shape long‑term capability by identifying gaps in tooling, skills, and platform maturity.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You&rsquo;ll Bring
  <br/>
  <br/>
 </strong>
 <strong>
  Experience &amp; Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related quantitative field (or equivalent experience).
  </li>
  <li>
   Extensive experience as a senior or principal Machine Learning Engineer delivering production ML systems at scale.
  </li>
  <li>
   Proven track record of owning or shaping ML platforms, MLOps frameworks, or critical ML infrastructure.
  </li>
  <li>
   Experience operating in complex, cross‑functional environments (insurance or financial services experience is advantageous but not essential).
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Technical Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Exceptional Python skills in a machine learning engineering context, with strong software engineering fundamentals (OOP, testing, design patterns).
  </li>
  <li>
   Deep experience building, deploying, and operating production ML systems, including:
  </li>
  <ul>
   <li>
    Online and batch model serving
   </li>
   <li>
    Monitoring, alerting, and observability
   </li>
   <li>
    Retraining and lifecycle management
   </li>
  </ul>
  <li>
   Strong understanding of core data science concepts, sufficient to:
  </li>
  <ul>
   <li>
    Review and challenge modelling approaches
   </li>
   <li>
    Ensure models are production‑ready and correctly evaluated
   </li>
  </ul>
  <li>
   Hands‑on experience with a major cloud platform (AWS, GCP, or Azure), including containerised deployments.
  </li>
  <li>
   Expert knowledge of MLOps and CI/CD, including:
  </li>
  <ul>
   <li>
    Git‑based workflows
   </li>
   <li>
    Infrastructure as Code (e.g. Terraform)
   </li>
   <li>
    Automated testing and deployment pipelines
   </li>
  </ul>
  <li>
   Strong operational mindset, including APIs, logging, monitoring, reliability, and incident response.
  </li>
  <li>
   Working knowledge of SQL and integration of ML services into wider data and application ecosystems.
  </li>
  <li>
   Experience using AI‑assisted coding tools in a production engineering context, with a clear understanding of their benefits, limitations, and risks.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 This is an opportunity to shape the future of machine learning engineering at Hiscox, build a high-performing sub-chapter, and influence strategic decisions, while staying close to the craft you love. You&rsquo;ll have the autonomy to set standards, mentor talent, and explore emerging technologies, all within a collaborative and forward-thinking environment.
 <br/>
 <br/>
 <em>
  Work with amazing people and be part of a unique culture
 </em>
</div>


Principal Machine Learning Engineer

Zego

<div><p>At Zego, we know that traditional motor insurance holds good drivers back. It&rsquo;s too complicated, too expensive, and it doesn't take into account how well you actually drive.</p><p>
That&rsquo;s why, since 2016, we&rsquo;ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.</p><p>
From van drivers and gig workers to everyday car drivers, our customers are our driving force &mdash; they&rsquo;re at the heart of everything we do.</p><p>
We&rsquo;ve sold tens of millions of policies so far, and raised over $200 million in funding. And we&rsquo;re only just getting started.</p><p></p><p><b>
Overview of the Product Team</b></p><p>
Product Managers at Zego are change-makers. We build and scale data-driven, impactful solutions that enable Zego to offer competitive and personalised insurance. Working in a fast-paced Agile environment, our team thrives on innovation, cross-functional collaboration, and driving measurable outcomes.</p><p>
We&rsquo;re building a product organisation where AI isn&rsquo;t a buzzword - it&rsquo;s how we work. From rapid prototyping with generative AI to using machine learning models that power our core pricing, our PMs operate at the frontier of what technology can do for insurance.</p><p>
From enhancing pricing models to streamlining digital experiences, our Product team is instrumental in shaping the future of insurance.</p><p></p><p><b>
About the Role</b></p><p>
We are looking for a Lead Product Manager who combines strategic depth with a hands-on builder&rsquo;s instinct. You&rsquo;ll own strategic workstreams that span multiple teams and business domains, defining the 6-12 month product direction and shaping how Zego&rsquo;s products evolve to meet ambitious commercial targets.</p><p>
This role sits at the intersection of strategy, execution, and leadership. You&rsquo;ll define new product mechanics and revenue models. You&rsquo;ll make build-vs-buy-vs-partner recommendations that shape Zego&rsquo;s competitive position. And you&rsquo;ll champion an experiment-first culture - using AI to compress discovery cycles, generate sharper insights, and ship at a velocity that sets the standard for the rest of the organisation.</p><p>
You&rsquo;ll work closely with Zego&rsquo;s Leadership Team on strategic decisions, lead cross-functional programmes, and mentor Product Managers - raising the bar for how the entire product community operates.</p><p></p><p><b>
What You&rsquo;ll Be Doing</b></p><ul><li><b>
Set strategic direction:</b> Define strategy for the 6-12 month horizon. Shape product operating models and governance. Make build-vs-buy-vs-partner recommendations that directly influence Zego&rsquo;s competitive position.</li><li><b>
Define new product mechanics and revenue models:</b> Identify and validate new revenue opportunities - from 0-to-1 propositions to upsell and retention loops. Ground every bet in unit economics and customer insight, not gut feel.</li><li><b>
Architect an experiment-led culture: </b>Embed rigorous experimentation (A/B testing, multivariate, rapid prototyping) into how your teams work. Replace opinion-driven roadmaps with a data-backed cadence where &ldquo;rate of learning&rdquo; is the leading metric.</li><li><b>
Champion AI adoption across Product</b>: Go beyond personal AI use - develop reusable AI playbooks, workflows, and assets that multiply the team&rsquo;s output. Identify where AI tools can materially accelerate product development, content generation, data analysis, and decision-making across the organisation.</li><li><b>
Lead with data at every level:</b> Design the product metrics and dashboards used by the business. Be proficient in gathering and using financial, behavioural, and usage data to ground strategic decisions. You&rsquo;re as comfortable in Snowflake as you are in a board-level strategy review.</li><li><b>
Drive company-level initiatives with P&amp;L impact:</b> Own programmes that move core business metrics. Be accountable for commercial outcomes, not just feature delivery.</li><li><b>
Lead cross-functional workstreams: </b>Partner with engineering, data science, design, marketing, legal, and compliance to ensure your strategy is technically feasible, commercially viable, and delivered with velocity.</li><li><b>
Mentor and develop PMs:</b> Manage the product community of practice. Coach Product Managers across the organisation, instilling a customer-first, experiment-first mindset and raising the bar for data capabilities and product craft.</li><li><b>
Engage with the Leadership Team</b>: Present strategic recommendations, lead pivots and sunset decisions, and shape how Product is represented in company-wide decision-making..</li></ul><p><b>
What You&rsquo;ll Need to Be Successful</b></p><ul><li><b>
Strategic product leadership:</b> Significant experience leading product strategy across multiple teams or domains, ideally in a high-growth environment. You&rsquo;ve defined product operating models, shaped governance, and made decisions that moved business-level metrics.</li><li><b>
Experiment-first operator: </b>Deep, hands-on experience designing rigorous experiments and rapid prototypes. You&rsquo;ve built experiment cultures - not just run individual tests. You instil the &ldquo;build-measure-learn&rdquo; loop as the default operating rhythm for your teams.</li><li><b>
Commercial and financial fluency:</b> Deep understanding of unit economics, pricing levers, and revenue modelling. You prioritise based on expected commercial impact and can credibly partner with Finance and Leadership on P&amp;L-level decisions.</li><li><b>
AI as a force multiplier:</b> You don&rsquo;t just use AI tools yourself - you&rsquo;ve built AI-enabled workflows, playbooks, or toolchains that made your team measurably faster. You can point to concrete examples of how AI has materially accelerated your or your team&rsquo;s product development.</li><li><b>
Data mastery: </b>Proficient in gathering and using financial, behavioural, and usage data to make strategic decisions. You design the metrics and dashboards that the business relies on.</li><li><b>
Technical depth: </b>Comfortable engaging with engineers on system architecture, APIs, ML pipelines, and service design. You understand the technical trade-offs well enough to make informed strategic bets.</li><li><b>
Outstanding communication and influence: </b>You engage with the Leadership Team on strategic decisions, lead cross-functional workstreams, and bring stakeholders along through clarity and conviction - not hierarchy.</li><li><b>
Builder mentality: </b>You&rsquo;re not just a strategist. You&rsquo;re comfortable acting as an IC when needed, getting into the detail, and leading a squad directly when the situation calls for it.</li><li><b>
People development</b>: Proven track record of mentoring and developing PMs. You actively contribute to the broader product community, not just your own area.</li></ul><p></p><p><b>
Our Toolkit</b></p><p>
We believe the tools don&rsquo;t make the Product Manager, but the right stack helps us move with velocity:</p><ul><li>
Collaboration: Notion, Whimsical, Slack, Google Meet</li><li>
Design, Prototyping &amp; User Testing: Figma, Figma Make, Maze</li><li>
Data &amp; Analytics: Snowflake, Amplitude, Hotjar, Looker</li><li>
Thinking &amp; Strategy: Claude Cowork</li><li>
Automations: Claude Code, Zapier</li></ul><p></p><p><b>
What&rsquo;s it like to work at Zego?</b></p><p>
Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.</p><p>
We&rsquo;re spread throughout the UK and Europe, and united by our drive to get things done. We&rsquo;re proud of our company and our culture &ndash; a friendly and inclusive space where we can lift each other up and celebrate our wins every day.</p><p>
Together, we&rsquo;re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There&rsquo;s loads of room to learn and grow, and you&rsquo;ll get the freedom to steer your career wherever you want.</p><p>
You&rsquo;ll work alongside a talented group who embrace each other's differences and aren&rsquo;t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we&rsquo;re making insurance matter.</p><p></p><p><b>
How we work</b></p><p>
We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. If you are based in the United Kingdom or in Portugal, you can choose to come into our central London office once a week, once a month or even quarterly. It&rsquo;s all about finding the right balance between collaborative face time and focused home-working, so we can achieve great results while maintaining a healthy work-life balance.</p><p></p><p><b>
Our approach to AI</b></p><p>
We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we&rsquo;ll provide you with the tools, support, and freedom to do it well.</p><p></p><p><b>
Benefits</b></p><p>
We reward our people well. Join us and you&rsquo;ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that&rsquo;s just for starters!</p><p></p><p>
There&rsquo;s more to Zego than just a job - Check out our blog for insights, stories, and more.</p><p></p><p>
We&rsquo;re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.</p><p></p><p>
#LI-IL1</p><p>
#LI-Hybrid</p></div><p></p>

Lead AI Product Manager

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science , Engineering, Physics, Economics, or a related quantitative field.</li><li>
Experience taking highly ambiguous concepts and personally designing the statistical models, data structures, and code to ship them as finished, sustainable data products.</li><li>
Experience navigating e-commerce or marketplace data, with a deep understanding of user acquisition, inventory data, and merchant/consumer behavior.</li><li>
Experience with Large Language Models, causal inference, experiment design at scale, and defining evaluation frameworks for agentic workflows.</li><li>
Experience maintaining full accountability for a technical codebase, balancing speed against analytical debt and model stability.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.</p>
<p>
Our mission is to build scalable, commercially focused, and machine-consumable data products and insights that simplify problems and drive outcomes for merchants and consumers.
</p><p>As a Staff Data Scientist, you are a technical leader who consolidates deep analytical excellence, statistical modeling, and domain expertise into highly maintainable, scalable data products. You bridge the gap between complex mathematical insights and strategic business decisions across high-impact engineering and product teams. Operating with high autonomy, you solve the organisation&rsquo;s most complex, ambiguous problems rather than being confined to a single product team or silo. You demonstrate exceptional scientific quality, ensuring that our analytical methodologies are robust, reproducible, and built to last. You partner directly with Engineering and Product to actively shape our agentic AI data products in our fast-moving &quot;one-team&quot; model.
</p><p>The various, high-velocity team of 30 spans Mountain View and London, bringing together experts in Data Science. As a senior leader in this unit, you will have a direct global impact, actively inputting to Google&rsquo;s high-profile agentic commerce AI initiatives.</p><p>
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Goal Setting and Measurement: Set rigorous data science goals and translate highly undefined, ambiguous problems into concrete, structured, and auditable data and measurement frameworks.</li><li>
Data Productisation: Package complex data flows, causal inference models, and agentic workflows into sustainable, well-designed data products and reusable codebase assets that move beyond traditional dashboards..</li><li>
Strategic Advising: Act as an expert advisor to Engineering and Product Management Directors, delivering fast-turnaround, data-driven perspectives that influence product roadmaps and strategic pivots.</li><li>
System and Schema Design: Define and evaluate complex metrics (including conversational evaluation frameworks) while partnering with Data Engineering to co-design clean data schemas.</li><li>
Technical Execution: Proactively jump into high-priority, high-friction data science challenges, establishing fast insights and balancing with high standards for experimental design, data modeling and storytelling.</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>

Staff Product Data Scientist, Google Shopping

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Join us to shape the backbone of cloud infrastructure at JPMorganChase. As a Product Director, you'll define how our platform supports engineering teams build and run services in the cloud. You'll have the opportunity to drive impactful change, create scalable solutions, and collaborate with talented engineers and architects, and other product teams. If you thrive in complex environments and enjoy bringing clarity to ambiguity, this is your chance to make a difference. We value your expertise and offer a supportive, innovative team culture.</p><p><b>
Job Summary:</b><br>
As a Product Director in the Cloud Foundations Product Management team within Infrastructure Platforms, you will define and drive a domain within the foundational control plane for the Atlas platform. Your work will enable teams to build on a reliable, standardized cloud infrastructure, reducing fragmentation and supporting scalable growth. You'll play a key role in translating platform strategy into actionable requirements and fostering collaboration across domains.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Define and standardize infrastructure across cloud providers (AWS, GCP, Azure)</li><li>
Establish patterns between cloud and internal systems, cross-region, and hybrid setups</li><li>
Identify and resolve gaps between platform domains
</li><li>Translate platform strategy into clear requirements, sequencing, and ownership</li><li>
Make trade-offs explicit, balancing speed, control, flexibility, and standardization</li><li>
Collaborate closely with engineering and architecture teams, and other product teams</li><li>
Operate as a product lead for your domain platform capabilities</li><li>
Drive reduction of fragmentation and one-off solutions</li><li>
Enable engineering teams to build on the platform without reinventing the basics</li><li>
Foster a culture of reliability and governance in cloud environments</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
Experience in platform, infrastructure, or cloud environments</li><li>
Ability to operate with engineering teams as primary customers</li><li>
Strong systems thinking to connect multiple domains into a coherent whole</li><li>
Comfort working in ambiguity and bringing structure and clarity</li><li>
Confidence collaborating with engineering and architecture teams</li><li>
Understanding of cloud provider environments (AWS, GCP, Azure)</li><li>
Familiarity with security, connectivity, and governance principles</li><li>
Ability to translate strategy into actionable requirements</li><li>
Commitment to inclusive, candidate-centric communication</li><li>
Professional, conversational approach to problem-solving</li><li>
Objective focus on delivering reliable, standardized solutions</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
Experience with hybrid and cross-region cloud connectivity</li><li>
Background in product management for platform or infrastructure teams</li><li>
Demonstrated ability to drive reduction of fragmentation in large-scale environments</li><li>
Experience shaping platform foundations in a complex organization</li><li>
Passion for working at the intersection of infrastructure, systems, and product</li><li>
Ability to influence and inspire cross-functional teams</li></ul>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Product Director - Cloud Foundations

Citi

<div><h2 class="jobSectionHeader"><b>Discover your future at Citi</b></h2>
<p>Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.</p>
<h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p><b>About Citi</b></p>
<p>Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management. Our core activities are safeguarding assets, lending money, making payments and accessing the capital markets on behalf of our clients.</p>
<p></p><p><b>Role Overview</b></p>
<p>We are seeking a visionary and hands-on <b>Product Lead, AI Product Engineering</b> to join our Banking Technology group. This is a senior-level, strategic role designed for a leader who embodies a <b>product mindset, with deep technical expertise</b>, thriving at the intersection of product management, artificial intelligence, and software engineering. This role specifically focuses on <b>Capital Markets tooling</b>, where these tools are critical for our Capital Markets professionals to <b>drive Debt and Equity Capital Markets Deal Execution, Optimize Financing workflows, Leverage Capital Markets AI agents, Identify New Deal Opportunities, and Service their clients more effectively and efficiently</b>. You will be responsible for shaping the future of our financial products by identifying high-impact opportunities for AI within this domain and leading the end-to-end lifecycle from concept to scaled production.</p>
<p>This is not a traditional development role. We are looking for a product-minded technologist who can bridge the gap between complex business challenges faced by Capital Markets professionals and cutting-edge AI solutions for their tooling needs. You will be heavier on the &quot;product&quot; side&mdash;defining the vision, strategy, and roadmap for these critical tools&mdash;while maintaining the deep technical expertise to guide a cross-functional team in building and shipping world-class, AI-powered applications that directly enhance our professionals' capabilities in deal execution, financing, and client servicing within Capital Markets.</p>
<p></p><p><b>Key Responsibilities</b></p>
<ul><li><b>Define the Vision:</b> Own the product strategy for AI initiatives within Capital Markets tooling. Analyze market trends, internal business processes, and user pain points of our Capital Markets professionals to identify and champion new opportunities for AI-driven innovation that directly impacts ECM deal execution, optimizes financing workflows, and enhances the utility of Capital Markets AI agents.</li>
<li><b>Drive the Roadmap:</b> Translate the product vision into a clear, actionable roadmap for Capital Markets AI tooling. Develop and prioritize features, epics, and user stories to guide the engineering team in delivering high-value solutions that empower Capital Markets professionals.</li>
<li><b>Lead from the Front:</b> Act as the key technical and product leader for a dedicated team of engineers focused on Capital Markets solutions. Mentor team members, establish modern engineering best practices, and foster a culture of excellence and rapid iteration.</li>
<li><b>Bridge Business and Tech:</b> Serve as the primary liaison between Capital Markets business stakeholders, end-users, and the development team. Articulate complex technical concepts to non-technical audiences and translate business requirements from the Capital Markets domain into robust technical designs that facilitate business growth and client service.</li>
<li><b>Hands-On Prototyping and Architecture:</b> Be prepared to get hands-on with building proofs-of-concept and initial prototypes to validate ideas quickly, particularly for novel AI applications in Capital Markets tooling.</li>
<li><b>Champion and Influence:</b> Influence and negotiate with senior leadership within Banking Technology and Capital Markets to secure buy-in and resources for your product vision. Communicate progress, challenges, and outcomes effectively across all levels of the organization, highlighting the strategic importance of enhanced Capital Markets tooling for business expansion and client satisfaction.</li>
<li><b>Manage Risk and Compliance:</b> Uphold the firm's commitment to risk management and compliance. Ensure that all product decisions and technical implementations for Capital Markets tooling adhere to the highest standards of security, ethics, and regulatory requirements, safeguarding the firm and its clients.</li>
</ul><p></p><p><b>Qualifications</b></p>
<ul><li><b>Experience:</b> Significant Proven experience in technology, with a proven track record of shipping products from concept to launch in a product-centric or entrepreneurial role.</li>
<li><b>Product &amp; Engineering Hybrid:</b> Demonstrated experience in a role that blends product management (defining the &quot;what&quot; and &quot;why&quot;) with software engineering (defining the &quot;how&quot;). This role requires a strong <b>product mindset, with deep technical expertise.</b></li>
<li><b>AI/ML Expertise:</b> Deep subject matter expertise in applying modern AI/ML techniques to solve real-world business problems. Experience with NLP, predictive modeling, or generative AI is highly desirable, especially in the context of Capital Markets.</li>
<li><b>Domain Knowledge:</b> A strong understanding of core banking, financial technology, and critically, a deep understanding of <b>Capital Markets processes, including ECM deal execution, financing workflows, and the application of AI agents to drive business growth, opportunity identification, and client servicing within this sector.</b></li>
<li><b>Leadership:</b> Proven ability to lead, mentor, and inspire cross-functional teams in a fast-paced, agile environment. Experience with project management and influencing without direct authority.</li>
<li><b>Stakeholder Management:</b> Exceptional communication and relationship-building skills, with the ability to build consensus and drive decisions among senior leaders and diverse stakeholders, including Capital Markets professionals and their leadership.</li>
<li><b>Technical Acumen:</b> While this is a product-heavy role, you should have a strong foundation in software engineering principles and be comfortable discussing architecture and code with your team.</li>
</ul><p></p><p><b>What we&rsquo;ll provide you</b></p>
<p>By Joining Citi London, you will become part of a global organisation whose mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.</p>
<ul><li><p>Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure</p>
</li><li><p>A discretionary annual performance related bonus</p>
</li><li><p>Private medical insurance packages to suit your personal circumstances</p>
</li><li><p>Employee Assistance Program
</p></li><li><p>Pension Plan</p>
</li><li><p>Paid Parental Leave</p>
</li><li><p>Special discounts for employees, family, and friends</p>
</li><li><p>Access to an array of learning and development resources</p>
</li></ul><p></p><p>Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.</p>
<p></p><p><b>Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities</b></p>
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family Group:
</b></h2>Technology
<p>-</p>
<h2 class="jobSectionHeader"><b>Job Family:</b></h2>
Applications Development
<p>-</p>
<h2 class="jobSectionHeader"><b>Time Type:</b></h2>
Full time
<p>-</p>
<h2 class="jobSectionHeader"><b>Most Relevant Skills
</b></h2>Please see the requirements listed above.
<p>-</p>
<h2 class="jobSectionHeader"><b>Other Relevant Skills
</b></h2>For complementary skills, please see above and/or contact the recruiter.
<p>-</p>
<p><i>Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p></div><p></p>

Product Lead, AI Product Engineering - Capital Markets

Novo Nordisk, Inc.

<div><div><div><div><div><p>Associate Director, AI Products Engineering, London
</p></div></div></div></div><div><div><div><div><b>Category: </b>Data &amp; AI
</div></div></div></div><div><div><div><div><b>Location:
</b>London, London, GB<br>
</div></div></div></div><div></div><div><div><div><div><div><div><div>Are you passionate about machine learning, AI, and data sciences? The Data &amp; AI Engineering function is a global organisation within R&amp;D Business Unit at Novo Nordisk, shaping the data foundations and intelligent infrastructure, and next-generation agentic solutions across the organization. Together we can create life-changing innovations for patients.</div></div><div><br>
<div>
</div></div><div><div><b>The Position</b></div>
</div>
<div><div>As Associate Director, you will provide strategic engineering leadership for the development of scalable and robust AI products, including agentic applications for content authoring, knowledge management, and compliance automation. You will lead a portfolio spanning early research, pre-clinical, and clinical development, ensuring agentic AI initiatives progress from proof-of-value to production. The role is accountable for establishing the data foundations and agentic AI infrastructure that support Novo Nordisk's R&amp;D AI ambitions, while driving business impact through the orchestration of complex cross-functional initiatives and stakeholder collaborations in a quality- and governance-focused environment.</div></div><div><br>
<div>
</div></div><div><div><b>Furthermore, you will be responsible for:</b></div>
</div>
<div><ul><li><div>Defining and driving the AI product infrastructure strategy for R&amp;D, enabling an integrated ecosystem of Agentic AI solutions</div>
</li>
</ul></div><div><ul><li><div>Ensure robust and scalable delivery of AI capabilities (data foundations, infrastructure, MLOps), with a strong focus on quality, traceability, risk management, and governance readiness. Transforming scientific and operational data into trusted, scalable AI solutions that accelerate innovation, improve efficiency, and support better business outcomes across R&amp;D.</div>
</li>
</ul></div><div><ul><li><div>Developing and executing short- and long-term strategies for AI engineering and AI data foundations, aligning R&amp;D and Enterprise AI priorities through internal partnerships and external collaborations.</div>
</li>
</ul></div><div><ul><li><div>Driving cross-functional initiatives and influence senior stakeholders to remove complexity, accelerate AI adoption, and enable sustainable AI-driven transformation across the organization.</div>
</li>
</ul></div><div><ul><li><div>Leading the delivery of technology innovation across a complex stakeholder landscape and scientific environment, balancing evolving business priorities while identifying the highest-impact opportunities for AI deployment.</div></li></ul><br>
</div>
<div></div><div><div><b>Qualifications</b></div>
</div>
<div><div><b>To thrive and succeed, we expect you to have:</b></div>
</div>
<div><ul><li><div>Degree in Computer Science, Bioinformatics, Information Technology, Engineering, or a related field.</div>
</li>
</ul></div><div><ul><li><div>Strong background in Artificial Intelligence, Machine Learning, Data Science, or Product Development with a strong focus on product engineering. Solid understanding of AI engineering, data foundations, cloud technologies, and scalable AI solution development.</div>
</li>
</ul></div><div><ul><li><div>Proven experience leading teams or working in a strategic consulting capacity, with a track record of delivering complex AI and Machine Learning initiatives across data engineering, AI/ML research, and IT platforms.</div>
</li>
</ul></div><div><ul><li><div>Experience engaging with senior business stakeholders and translating business needs into technology and AI strategies. Strong stakeholder management, communication, and influencing skills across complex organizational environments.</div>
</li>
</ul></div></div><div><div><ul><li><div>Ability to represent the organization in collaboration with external technology partners and AI providers within areas such as Agentic AI, AI engineering, and data platforms.</div>
</li>
</ul></div><div><ul><li><div>A curious, collaborative, and visible leadership style, with a passion for innovation and continuous learning.</div></li></ul><br>
</div>
<div></div><div><div><b>About the Department</b></div>
</div>
<div><div>You will join a recently established AI Product Engineering team focused on enabling the next generation of AI solutions across R&amp;D. Working closely with Data Science and AI stakeholders across multiple global locations, the team is developing advanced Agentic AI capabilities in areas such as Gen AI-driven content authoring, research assistance agents, knowledge management agents, and compliance automation through AI.</div>
</div>
<div><div>The team plays a key role in shaping scalable AI platforms, engineering standards, and technology foundations that support the sustainable development of AI solutions across a complex and evolving data landscape.</div></div><div><br>
<div>
</div></div><div><div><b>Working at Novo Nordisk</b></div>
</div>
<div><div>At Novo Nordisk, we don't wait for change. We drive it. We're a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating perfection. We never shy away from opportunities to develop, we seize them. From research and development, through manufacturing, marketing, and sales &ndash; we're all working to move the needle on patient care.</div></div><div><br>
<div>
</div></div><div><div><b>What we offer</b></div>
<div>
At Novo Nordisk, you&rsquo;ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage.</div>
<div><b>
Salary:</b><b> </b>For this role, the Annual Base Salary ranges from 87,680.00 to 137,660.00 GBP, corresponding to the level of the position.</div>
<div>
The placement within the salary range will be assessed during the recruitment process based on the candidate&rsquo;s skills, competencies, knowledge, and relevant experience.</div>
<div><b>
Incentives and Benefits: </b>The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.</div>
<div>
Learn more about our Reward Philosophy here.</div></div><div><br>
<div>
</div></div></div><div><div><b>Deadline</b></div>
</div>
<div><div><b>17th July 2026</b></div>
</div><div>
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.</div><br>
<div></div>
<div>
At Novo Nordisk, we're not chasing quick fixes &ndash; we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger &ndash; a legacy of impact that reaches far beyond today.</div></div></div></div></div></div>

Associate Director, AI Products Engineering, London

Principal Java Engineer

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