ai engineer

platform engineer

analytics engineer

lead software engineer

ai solution engineer

ai product manager

<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

Expedia Group

<div>At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. 
 
Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
Introduction to the team
In the B2B division, we bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more.
We are looking for a high-performing Product Manager whose role is pivotal in shaping innovative travel products that align with strategic business objectives and delight travelers and partners. In this role, you will collaborate with cross-disciplinary teams to develop the next generation of travel platform, partnering closely with design, engineering, data science, finance, legal, and external partners to deliver a scalable, configurable, AI enabled travel platform that drives innovation and is at the forefront of the travel industry. Your efforts will focus on integrating advanced AI/ML technologies, conducting rigorous market analysis, and leading product direction with data-driven insights and strong customer empathy to define product strategy, prioritize roadmaps, and drive measurable business impact.
<div>In this role, you will:
Product Strategy &amp; Vision
<ul><li>Organize the strategic vision into key themes that solve both short-term and long-term traveler, partner, and business needs
</li><li>Take a lead role in detailing a multi-quarter roadmap, articulating key themes, milestones, and trade-offs through a compelling narrative that resonates across senior leadership and cross-functional teams
</li><li>Balance short-term and long-term business considerations with product decisions and partner with Finance to set incremental revenue targets
</li><li>Drive innovation within the platform, exploring new use cases and experiences that increase customer confidence and drive metric improvement
</li></ul>Customer, Market &amp; Commercial Insight
<ul><li>Reference detailed market research and competitive analysis (customer segmentation, market sizing, partner needs) to inform strategy and roadmap
</li><li>Clearly define the value proposition of the product through competitive analysis and/or understanding of customer pain points
</li><li>Develop testable hypotheses that address industry and regulatory needs and drive performance outcomes; use experimentation to validate direction
</li><li>Identify friction in the traveler journey (from discovery through post-trip servicing) and recommend customer-centric product and UX solutions to increase understanding, trust, and conversion
</li></ul>Data, Experimentation &amp; AI/ML
<ul><li>Facilitate integration of AI/ML into product functionality (e.g., personalization, pricing support, or servicing flows) by leveraging an understanding of model development (data collection and processing, model training, evaluation, deployment, and monitoring)
</li><li>Independently design product experiments, gather and analyze product data, draw insights, and make informed decisions; engage Data Analytics teams where deeper analysis is needed
</li><li>Define new metrics, dashboards, and data sources to monitor the health of the product (e.g., attach rate, conversion, NPS/CSAT) and drive regular metric reviews that lead to concrete actions
</li></ul>Execution &amp; Delivery
<ul><li>Leverage understanding of technical architecture to ensure decisions address product requirements and adjust designs to account for dependent systems
</li><li>Effectively prioritize initiatives and features using a data-informed framework that incorporates business impact, risk, customer value, and effort
</li><li>Own product requirements documentation (PRDs, user stories, acceptance criteria) leveraging Expedia Group's standard toolkit; ensure clarity, completeness, and alignment to outcomes
</li><li>Collaborate closely with engineering to break down user stories, identify and manage dependencies, and ensure predictable delivery against roadmap commitments
</li><li>Facilitate alignment between engineering, design, operations, and partner teams by ensuring product goals and success measures are clearly articulated and visually represented
</li><li>Create and interpret product experiments in partnership with UX and data teams to deliver platform value
</li></ul>Stakeholder Leadership &amp; Communication
<ul><li>Develop the ability to influence without formal authority, earning trust with peer leaders, functional partners, and external stakeholders
</li><li>Encourage the team to achieve operational excellence, acting as a motivating and stabilizing force during planning, delivery, and incident response
</li><li>Communicate effectively up, down, and across the organization, using data, insights, and storytelling to tailor messages to executives, cross-functional partners, and regional stakeholders
</li><li>Demonstrate a proven track record of clearly and persuasively articulating product concepts, strategies, and decisions to cross-functional teams and, where appropriate, to partners and customers
</li></ul><h2 class="jobSectionHeader">Experience and Qualifications
</h2><h3 class="jobSectionHeader">Required:
</h3><ul><li>Bachelor's degree in a related field, or equivalent related professional experience; 5+ years of relevant experience required
</li><li>Master's degree in a related field, or equivalent related professional experience; 3+ years of relevant experience required
</li><li>Proficiency in Agile product development practices
</li><li>Knowledge of AI/ML concepts and their application in products
</li><li>Knowledge of data science principles and experimentation , including A/B testing and hypothesis-driven development
</li><li>Proficient written and verbal communication skills
</li><li>Active listening and stakeholder management
</li><li>Scientific method and problem decomposition
</li><li>Ability to reverse engineer complex systems and flows
</li><li>Business acumen and commercial mindset (P&amp;L, pricing, and unit economics awareness)
</li><li>Ability to influence without authority
</li><li>Appropriate, calculated risk-taking
</li></ul></div><div><div><div><div><div><div><div><div><div><div>#LI-SV1
</div></div></div></div></div></div></div></div></div></div>Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation . 
 
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease. 
 
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ . 
 
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.</div>

Product Manager III, B2B Intelligent Experience Platform

International Swaps and Derivatives Association

<div><div>June 30, 2026
Job Title: Assistant Director, Artificial Intelligence
Reports to: Senior Director, Digital Transformation, Analytics
Location: London
</div><div>Job purpose 
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab. 


Duties and responsibilities
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market.</li></ul> 


Relevant Skills / Abilities
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div>

Assistant Director, Artificial Intelligence, London

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
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.
<h2 class="jobSectionHeader">Job Overview</h2>
About Citi
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.
Role Overview
We are seeking a visionary and hands-on Product Lead, AI Product Engineering to join our Banking Technology group. This is a senior-level, strategic role designed for a leader who embodies a product mindset, with deep technical expertise, thriving at the intersection of product management, artificial intelligence, and software engineering. This role specifically focuses on Capital Markets tooling, where these tools are critical for our Capital Markets professionals to 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. 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.
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.
Key Responsibilities
<ul><li>Define the Vision: 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>Drive the Roadmap: 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>Lead from the Front: 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>Bridge Business and Tech: 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>Hands-On Prototyping and Architecture: 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>Champion and Influence: 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>Manage Risk and Compliance: 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>Qualifications
<ul><li>Experience: 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>Product &amp; Engineering Hybrid: 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 product mindset, with deep technical expertise.</li>
<li>AI/ML Expertise: 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>Domain Knowledge: A strong understanding of core banking, financial technology, and critically, a deep understanding of 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.</li>
<li>Leadership: 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>Stakeholder Management: 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>Technical Acumen: 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>What we&rsquo;ll provide you
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.
<ul><li>Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure
</li><li>A discretionary annual performance related bonus
</li><li>Private medical insurance packages to suit your personal circumstances
</li><li>Employee Assistance Program
</li><li>Pension Plan
</li><li>Paid Parental Leave
</li><li>Special discounts for employees, family, and friends
</li><li>Access to an array of learning and development resources
</li></ul>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.
Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities
-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
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.</div>

Product Lead, AI Product Engineering - Capital Markets

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.
Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation.
Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows.
Job Responsibilities
<ul><li>Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.</li>
<li>Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.</li>
<li>Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.</li>
<li>Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Supports foundational business processes that enable Client360 through AI-driven solutions.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.</li>
<li>Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.</li>
<li>Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale AI integration and analytics projects.</li>
<li>Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.</li>
<li>Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.</li>
<li>Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.</li>
<li>Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience working in a highly matrixed, complex organization.</li>
<li>Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.</li> 
</ul><div></div> 
ABOUT US
 
 
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. 
<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. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Agentic AI Ops Lead

Odevo

<div>We are on a mission to become the leading international force in residential property management. What we do matters to billions of people in their everyday lives.
Residential real estate is the world&rsquo;s largest asset class, and for most families, buying a home is the single biggest financial decision they will ever make. For too long, residential property management has fallen short of homeowners' and residents' expectations, and the industry is ready for change. Odevo was formed to make that change happen.
In just six years, Odevo has grown more than 70-fold, establishing us as the leading international player. We are more than 12,000 people across the US, the UK, the Nordics, Germany, Spain, Portugal, Mexico, and Italy building Odevo. Together, we aspire to break new ground through innovation and cultivate a workplace where we help each other succeed, where ideas matter more than titles, and where kindness is a strength.
By combining the power of people and technology, we set a new standard for how homes are managed. Our technology-enabled services simplify living for residents and create a better experience for property owners and boards.
Our ambition is to continue our fast-growing journey through new customers, service expansion, and by partnering with great companies that share our mindset and ambition, both in existing and new markets.
As we continue to grow, we stay true to who we are, challenge unnecessary bureaucracy, and keep decision-making close to our customers.
If you share our mindset and ambition, we&rsquo;d love you to join us and help accelerate our mission together.<h5 class="jobSectionHeader">
About the role</h5>
We're looking for an Senior Engineering Manager to lead engineering across our UK Value Stream &mdash; one of Odevo's most strategically important and technically complex domains.<div>
The UK business spans multiple product lines, internally developed platforms, and acquired SaaS solutions serving both customers and operational teams. This ecosystem is critical to enabling scale and customer value across one of our largest markets.
This is not a greenfield environment. The technology landscape has evolved through growth and acquisitions. Success here means bringing clarity to complexity: modernising where it matters, integrating where it adds value, and helping teams make pragmatic decisions that build long-term foundations.
As Senior Engineering Manager, you will help shape the technical direction and operating model for the UK domain, reporting to the Global Head of Engineering and working closely with Product, Architecture, Operations, and business stakeholders.
AI is a key part of how Odevo builds and operates. You will identify where AI and automation create meaningful value &mdash; in customer-facing capabilities, operational efficiency, and engineering productivity &mdash; and ensure we adopt emerging technologies thoughtfully and with measurable impact.</div><h5 class="jobSectionHeader">
Key responsibilities</h5>
Engineering Leadership &amp; Team Development<div><ul><li>
Lead and develop engineering teams across multiple products, creating clarity, alignment, and momentum.</li></ul></div><div><ul><li>
Build a high-performing and inclusive engineering culture where teams take ownership, collaborate effectively, and deliver meaningful outcomes.</li></ul></div><div><ul><li>
Coach and mentor engineers and technical leads at all levels, supporting technical excellence and career growth.</li></ul></div><div><ul><li>
Own the performance and development cycle: expectations, feedback, and progression.</li></ul></div><div><ul><li>
Partner closely with Talent Acquisition to attract, hire, and onboard exceptional engineering talent.</li><li>
Foster strong engineering communities and knowledge sharing across teams. Lead by example &mdash; contributing to technical discussions, architecture trade-offs, and delivery planning where it adds value.</li></ul>
Technical Strategy &amp; Delivery</div><div><ul><li>
Provide technical leadership across a complex technical landscape, navigating legacy systems, acquired platforms, integrations, and modernisation.</li></ul></div><div><ul><li>
Collaborate with Product, Architecture, and business stakeholders to define and evolve the UK technical roadmap.</li></ul></div><div><ul><li>
Translate business objectives into clear engineering priorities</li></ul></div><div><ul><li>
Drive engineering excellence through strong practices in quality, observability, security, and operational ownership.</li></ul></div><div><ul><li>
Identify and reduce technical debt, fragmentation, and duplication while supporting pragmatic delivery.</li></ul></div><div><div><ul><li>
Champion modern technical practices: API-first design, automated testing, CI/CD, cloud readiness, and scalable service architecture.</li></ul>
AI, Innovation &amp; Modernisation</div><div><ul><li>
Drive AI and automation adoption across the UK value stream &mdash; identifying where it creates genuine value in product capabilities, workflows, and customer outcomes.</li></ul></div><div><ul><li>
Ensure adoption is responsible and rigorous: data quality, security, compliance, and measurable business impact.</li></ul></div><div><ul><li>
Create space for experimentation without losing focus on what actually moves the business forward.</li></ul>
Cross-functional Collaboration</div><div><ul><li>
Act as the key engineering partner for the UK value stream, aligning with Product, Operations, Commercial, and Customer Success.</li></ul></div><div><ul><li>
Represent engineering in planning, prioritisation, and strategic discussions &mdash; communicating progress, risks, and trade-offs clearly.</li></ul></div><div><ul><li>
Make technical complexity understandable to non-technical stakeholders.</li></ul></div><div><ul><li>
Build alignment across acquired product teams and central technology functions.</li></ul></div></div><h5 class="jobSectionHeader">
Who you are</h5>
You are a proven engineering leader with a track record in complex, multi-product environments &mdash; including environments shaped by acquisitions, legacy systems, or platform modernisation. You are comfortable moving between strategic discussions, organisational leadership, and technical decision-making, with the credibility to engage meaningfully at each level. You understand how to balance technical quality with business priorities and operational realities, and you communicate trade-offs clearly to engineers and executives alike. You are passionate about building great teams and creating environments where people grow and do their best work. And you bring genuine excitement about AI and emerging technology.<h5 class="jobSectionHeader">
Qualifications</h5><ul><li>
Significant experience leading software engineering teams across multiple products or domains.</li><li>
Strong background in hands-on software development.</li><li>
Experience with complex product ecosystems that include legacy platforms, acquired products, integrations, and modernisation initiatives.</li><li>
Strong understanding of modern engineering practices: cloud architecture, APIs, DevOps, CI/CD, automated testing, observability, and security.</li><li>
Experience modernising platforms within the Microsoft/.NET ecosystem is a strong advantage.</li><li>
SaaS or product-led environment experience is highly beneficial.</li><li>
Excellent communication, stakeholder management, and interpersonal skills.</li><li>
Interest in AI, automation, and emerging technologies.</li><li>
Experience with Azure, AWS, Microsoft technologies, data platforms, or AI tooling is a plus.</li><li>
Professional proficiency in English.</li></ul><h5 class="jobSectionHeader">
What we offer</h5><ul><li>
Professional growth - to work with the most talented developers in the industry.</li><li>
Modern technology - we invest in the latest technologies and tools and encourage our team members to share their ideas and take ownership of their work.</li><li>
Innovation - to work on exciting projects that push the boundaries of our industry and make a real impact.</li><li>
Commitment to quality - a dynamic and forward-thinking company that values profitable and long-term product development.</li></ul>
Sounds like you? Apply today!
#d</div>

Senior Engineering Manager

<div>
 
 
 Why this role exists
 
 
 
 We're hiring the a Founding Backend Engineer at Do Health - a mobile-first preventative health product co-founded by Dr Rangan Chatterjee, built as an independent startup inside Voy.
 
 
 Voy is one of the UK's fastest-growing digital health companies (&pound;300M+ revenue, doubling next year, ~2x YoY growth across men's health, metabolic health, menopause, hormonal health, TRT, dermatology and more). Do Health is its next chapter: the first product designed not to treat illness, but to prevent it.
 
 
 
 
 
 The product combines regular blood tests, longitudinal health data, behaviour-change science and AI personalisation to help people make better lifestyle decisions over time. We already run AI systems in production at a scale very few UK companies match
 
 
 
 
 
 You'd join a 10-person team, partnering directly with our lead engineer on the backend. There's no layer of management between you and the work. What you ship in month one is what users get. This is a rare opportunity to join a setting with a true early-stage startup spirit, yet backed by a major digital healthcare player.
 
 
 
 
 
 
 What you'll actually do
 
 
 <ul>
 <li>
 Own major backend features end-to-end - design, build, ship, monitor, iterate
 </li>
 <li>
 Shape architecture alongside the lead. Real technical decisions, made by you, kept or changed based on what works
 </li>
 <li>
 Scale our blood testing infrastructure across the UK and internationally as we expand.
 </li>
 <li>
 Build production AI systems - personalisation engines that act on longitudinal health data at scale.
 </li>
 <li>
 Improve reliability, observability, and the foundations that everything else depends on as the product grows.
 </li>
 <li>
 Work directly with product, design, and clinical teams. No tickets thrown over walls
 </li>
 </ul>
 
 
 
 
 
 The kind of engineer this works for
 
 
 
 You'll fit if you have:
 
 <ul>
 <li>
 5&ndash;8 years of backend experience with strong fundamentals. We care more about depth than years.
 </li>
 <li>
 Experience at a startup or scale-up where you genuinely owned things.
 </li>
 <li>
 Architectural thinking. You can hold an end-to-end technical conversation about systems you've built &mdash; what trade-offs you made, what broke, what you'd do differently.
 </li>
 <li>
 A track record of shipping reliable systems. Not just features &mdash; the boring infrastructure that keeps them up.
 </li>
 <li>
 Comfort with judgement calls in ambiguous situations. Most decisions here don't have a clear right answer.
 </li>
 <li>
 Confident, responsible use of AI tools in your workflow. Not "vibe coding" - using them as a force multiplier where they help, ignoring them where they don't.
 </li>
 </ul>
 
 Nice-to-have, not required:
 
 <ul>
 <li>
 Strong TypeScript / Node.js experience (it's our primary stack, but we'll happily hire someone excellent in Go, Kotlin, Python or similar)
 </li>
 <li>
 Experience scaling systems to high user volumes
 </li>
 <li>
 Exposure to ML/AI systems in production
 </li>
 <li>
 Healthcare or regulated-industry experience
 </li>
 </ul>
 
 
 
 
 
 Why this might be the right move
 
 
 <ul>
 <li>
 Genuine equity in a product with real upside, not lottery-ticket equity at a company that may never exit
 </li>
 <li>
 Startup velocity with grown-up backing - Voy isn't going anywhere, so you're not betting your mortgage on Series A survival
 </li>
 <li>
 A product that matters. Preventative health is one of the few areas where building software actually changes outcomes, not just engagement metrics.
 </li>
 <li>
 A high technical bar from day one. You're not joining a team that needs convincing to do things properly.
 </li>
 <li>
 Direct access to leadership - your work, your decisions, your name on them.
 </li>
 </ul>
 
 
 
 
 
 Practical details
 
 
 <ul>
 <li>
 Location: London
 </li>
 <li>
 Working pattern: Hybrid, ~3 days per week in person
 </li>
 <li>
 Compensation: Competitive - happy to discuss bands early in the process
 </li>
 <li>
 Process: Intentionally short. Hiring manager interview, technical conversation, team chat. We move fast for the right person.
 </li>
 </ul>
 
 
</div>

Senior Backend Engineer/Founding Engineer

Explore 569+ Ai product manager in London this July. Find roles across top companies and apply now to boost your career.