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senior engineering manager Jobs in London

senior engineering manager

ccor data analytics - product manager - vice president Jobs in London

senior product manager

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
This role is a unique opportunity to have a massive impact on Wise's mission, and build the engine that powers the revolution, Money without Borders.
Your mission:
Your mission is to scale the backend financial engines at Wise during a pivotal growth phase following our recent US listing on NASDAQ. You will lead critical work within our Accounting Infrastructure team - which is responsible for the financial truth at Wise..
Your impact:
Your mandate is to maintain the core General Ledger databases, backend processing microservices, and financial infrastructure that act as the source of truth for Wise. You will ensure the availability, technical integrity, and control environment of our ledger infrastructure. This role focuses strictly on the backend ledger systems and internal financial services.<ul><li>
 The Scale: You will manage ledger infrastructure that ingests over 1bn+ journal entries per month and oversee the process that turns these into financial reports.</li><li>
System Boundaries: You own the technical health and data integrity controls of the core General Ledger databases and company ERP platforms.</li><li>
Downstream Trust: The controls you build directly impact the data accuracy of downstream reporting lakes, tax systems, and corporate consolidation tools.</li></ul>
Example of questions that you will answer in your role are -<ul><li>
How do you design reliable tracking systems and workflows so we never lose track of money or make unapproved/unanticipated changes to our financial data?</li><li>
How do you build secure software tools and APIs so that our team members can post financial records safely with minimal risk of errors?</li><li>
How do you structure our databases so they can automatically generate separate, correct financial reports for different regional accounting standards at the same time?</li></ul>
You will define and execute the product strategy to achieve real-time reconciliation and assurance at global scale, providing functional finance teams with systems they need to operate effectively, compliantly, and efficiently in 50+ countries.
You are joining the Finance Product team at a pivotal, hyper-growth stage as Wise has recently listed in the US. The Finance team is strategically expanding its footprint to raise the bar on global regulatory maturity and provide a robust financial foundation for Wise&rsquo;s sustained, rapid growth. This expansion is directly driven by the need to proactively mature our global financial controls and infrastructure to meet the highest standards required of a US-listed, global financial technology company. 
Qualifications 
What we&rsquo;re looking for:<ul><li>
Product Management Excellence<ul><li>
5-6 years of product building experience, as a product manager in a hands on role</li><li>
A willingness and capability to dive into the technical architecture, engaging directly with engineers to influence ledger design, data models, and event-sourcing patterns.</li><li>
An analytical mind to trace data lineage across interconnected microservices and design systemic solutions.</li><li>
Have defined and moved KPIs with features shipped</li><li>
Have built roadmaps for teams finding a path from uncertainty/chaos to clarity</li></ul></li><li>
Problem Solving<ul><li>
Strong grasp of mathematics, analytically-minded, can clearly frame problems, articulate hypotheses and solutions, measure them and has used the tools to be able to do this without an analyst</li><li>
Showcases system-level thinking, a proven ability to look beyond the scope of a single product to design interconnected systems</li></ul></li></ul>
Nice-to-haves:<ul><li>
Finance, Payments or Treasury experience particularly in Ledgers, Controls or Accounting</li><li>
Domain Understanding<ul><li>
Understanding of finance systems in either an engineering, data or product role</li><li>
Understanding of operating in Finance organisations including financial reporting, commercials, and risk and control</li></ul></li><li>
Experience with SOx Controls or Audits</li><li>
Experience of third party finance systems</li></ul> 
Additional Information<ul><li> 
Base salary: &pound;93-148K (based on experience &amp; interview outcomes)</li><li>
Restricted Stock Units (RSUs) &amp; a variety of other benefits: Wise Benefits</li></ul><div></div>
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Senior/Principal Product Manager - Accounting Infrastructure

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

Elliptic

<div>Do you want to build the AI systems that compliance teams rely on to investigate real financial crime? Are you excited about taking agentic workflows from prototype to production at scale? Do you want your work to directly help catch bad actors moving money across blockchains?
Elliptic is hiring a Senior AI Engineer to join our AI team. It is the team behind Elliptic's copilot, the AI product that helps compliance investigators trace fund flows, surface patterns, and respond to risk in real time. This role sits at the centre of that work, designing the agentic systems, LLM integrations, and backend services that turn complex blockchain data into useful answers.
You'll join a focused team that cares about the quality of what it builds and gives you the space to do your best work. There's real ownership here, breadth across AI and backend systems, and the freedom to turn good ideas into shipped products. The problems are technically challenging, and the work is visible.
The impact you will have:
As a Senior AI Engineer on the AI team, you'll own significant parts of the Agentic stack that power Elliptic's copilot. You'll lead the design of agentic workflows, drive technical decisions on how we build and operate LLM-based features, and help raise the engineering standard across the team. You'll partner with product, web engineers, and your engineering lead to take complex problems from ambiguity to shipped product, and you'll mentor more junior engineers as the team grows.
What you will do:<ul><li>
Design and build agentic workflows and AI-powered features that power Elliptic's copilot, using LLM frameworks such as LangChain or LangGraph.</li><li>
Lead the design of agents, tool integrations, and retrieval pipelines that turn complex blockchain data into useful answers for investigators.</li><li>
Build and own evaluation frameworks that measure and improve the quality, reliability, and latency of LLM outputs.</li><li>
Design and build the backend services, APIs, and event-driven systems that support these features, using TypeScript and Node.js.</li><li>
Drive technical design reviews and architecture decisions for AI workstreams.</li><li>
Mentor and coach more junior engineers through pair programming, code review, and design feedback.</li><li>
Raise the engineering bar across the team by promoting good practices in testing, observability, and AI system reliability.</li><li>
Influence cross-team decisions on how AI capabilities integrate with the rest of the Elliptic platform.</li></ul>
What you will achieve in the first 6 months:<ul><li>
Owned and shipped at least one significant AI capability end-to-end, from ambiguous problem statement through to production.</li><li>
Driven the technical direction of an AI workstream, including architecture, evaluation, and rollout.</li><li>
Established or improved at least one team practice for building AI systems (evals, observability patterns, prompt management, rollout safety).</li><li>
Mentored junior engineers on AI engineering practices and contributed to their growth.</li><li>
Built strong working relationships across product, web engineering, data engineering, and DevOps.</li><li>
Started to influence adjacent teams on how Elliptic builds with AI.</li></ul>
You will be a great fit here if you:<ul><li>
Care about building AI systems that work reliably in production, not just demos.</li><li>
Have strong instincts for trade-offs specific to LLM systems: cost vs latency vs quality, deterministic vs probabilistic behaviour, when to use an agent vs a workflow.</li><li>
Can take ambiguous AI problems and break them into shippable pieces with clear evaluation criteria.</li><li>
Communicate clearly with non-engineers (product, stakeholders, leadership) about AI capabilities and limitations.</li><li>
Have coached or mentored other engineers and enjoy raising the bar through reviews, pairing, and feedback.</li><li>
Are genuinely curious about the domain and find blockchain investigations and financial crime prevention interesting.</li></ul>
Our ideal candidate has:<ul><li>
5-8+ years of software engineering experience, with at least 1-2 years of meaningful production work building LLM-powered features.</li><li>
Direct experience with LLM frameworks such as LangChain, LangGraph, or similar.</li><li>
Hands-on experience building agentic systems: tool use, multi-step reasoning, planning, memory, and human-in-the-loop patterns.</li><li>
Practical understanding of prompt engineering, structured outputs, context management, and managing the trade-offs of working with LLMs.</li><li>
Experience building and running evaluations for LLM outputs (eval sets, LLM-as-judge, regression testing).</li><li>
Strong backend skills in TypeScript / Node.js, with solid API design.</li><li>
Cloud experience (AWS: Lambda, ECS, S3, or similar).</li><li>
Database proficiency across SQL (Postgres) and some NoSQL exposure.</li><li>
Demonstrated ability to mentor and coach other engineers.</li><li>
Uses AI coding assistants (Copilot, Cursor, Claude, etc.) critically and effectively as part of their day-to-day workflow.</li></ul>
Bonus points for:<ul><li>
Experience with retrieval-augmented generation (RAG) and vector databases (pgvector, Pinecone, or similar).</li><li>
Experience designing multi-agent systems and agent orchestration patterns.</li><li>
Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar).</li><li>
Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning.</li><li>
Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling.</li><li>
Experience with observability platforms like Datadog.</li><li>
Distributed or event-driven architectures (SNS, SQS).</li><li>
Interest in cryptocurrency, blockchain, or compliance.</li></ul><h2 class="jobSectionHeader">
Job Benefits</h2>
&gt; How we work:<ul><li>
Hybrid working and the option to work from almost anywhere for up to 90 days per year</li><li>
&pound;500 Remote working budget to set up your home office space</li></ul>
&gt; Learning &amp; Development:<ul><li>
$1,000 Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development</li></ul>
&gt; Vacation/ Leave:<ul><li>
Holidays: 25 days of annual leave + bank holidays</li><li>
An extra day for your birthday</li><li>
Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave.</li></ul>
&gt; Benefits:<ul><li>
Private Health Insurance - we use Vitality!</li><li>
Full access to Spill Mental Health Support</li><li>
Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries</li><li>
Cycle to Work Scheme</li></ul>
We know Diversity and Inclusion is much deeper than just hiring, but it's important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don't all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.</div>

Senior AI Product Engineer

Zego

<div>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.
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.
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.
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.
Overview of the Product Team
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.
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.
From enhancing pricing models to streamlining digital experiences, our Product team is instrumental in shaping the future of insurance.
About the Role
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.
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.
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.
What You&rsquo;ll Be Doing<ul><li>
Set strategic direction: 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>
Define new product mechanics and revenue models: 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>
Architect an experiment-led culture: 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>
Champion AI adoption across Product: 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>
Lead with data at every level: 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>
Drive company-level initiatives with P&amp;L impact: Own programmes that move core business metrics. Be accountable for commercial outcomes, not just feature delivery.</li><li>
Lead cross-functional workstreams: 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>
Mentor and develop PMs: 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>
Engage with the Leadership Team: Present strategic recommendations, lead pivots and sunset decisions, and shape how Product is represented in company-wide decision-making..</li></ul>
What You&rsquo;ll Need to Be Successful<ul><li>
Strategic product leadership: 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>
Experiment-first operator: 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>
Commercial and financial fluency: 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>
AI as a force multiplier: 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>
Data mastery: 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>
Technical depth: 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>
Outstanding communication and influence: 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>
Builder mentality: 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>
People development: Proven track record of mentoring and developing PMs. You actively contribute to the broader product community, not just your own area.</li></ul>
Our Toolkit
We believe the tools don&rsquo;t make the Product Manager, but the right stack helps us move with velocity:<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>
What&rsquo;s it like to work at Zego?
Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.
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.
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.
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.
How we work
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.
Our approach to AI
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.
Benefits
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!
There&rsquo;s more to Zego than just a job - Check out our blog for insights, stories, and more.
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.
#LI-IL1
#LI-Hybrid</div>

Lead AI Product Manager

JPMorganChase

<div>JOB DESCRIPTION 
 
 
The Compliance, Conduct and Operational Risk (CCOR) Data Analytics team is part of the firm's CCOR organization within the second line of defense. CCOR is responsible for the design and execution of the CCOR program, which consists of the second line of defense's responsibilities in managing the firm's Compliance, Conduct, and Operational Risk. The Data Analytics team works with CCOR functional groups to deliver solutions designed to facilitate data-driven decision making and enable proactive risk management.
This role blends product management, business analysis, and project management responsibilities to deliver strategic capabilities to the CCOR community.
As a Vice President within CCOR Data Analytics, you will report to the EMEA lead for CCOR Data Analytics and partner with Compliance &amp; Operational Risk, Technology, and cross-functional stakeholders to drive the technology innovation agenda, ensuring alignment with firmwide strategic platforms.<h2 class="jobSectionHeader">
Job Responsibilities</h2><ul><li>
Own and drive the product vision, roadmap, and strategy for CCOR data/analytics capabilities, ensuring alignment with regulatory expectations and business objectives</li><li>
Partner with Compliance, First Line, Technology, Data Science, Operations, and other cross-functional stakeholders to gather, analyze, and translate requirements into actionable product features and user stories</li><li>
Drive innovation in methodologies by leveraging advanced analytics, technology, and industry best practices</li><li>
Identify and evaluate opportunities to apply AI/LLM-enabled capabilities (where appropriate) to improve decisioning, efficiency, control effectiveness, and user experience</li><li>
Influence key stakeholders throughout the product lifecycle (ideation/prototyping through delivery and adoption)</li><li>
Champion and apply Product Management and Agile practices where possible; manage backlogs, prioritization, planning, testing, and defect tracking</li><li>
Oversee user acceptance testing; support training and onboarding; ensure solutions meet business and regulatory requirements</li><li>
Monitor industry trends, regulatory change, and emerging risks to inform product direction and priorities</li><li>
Advocate for stakeholder needs; ensure scope and business cases align with organizational objectives and deliver measurable value; facilitate workshops, working sessions, and presentations</li></ul><h2 class="jobSectionHeader">
Required qualifications, capabilities, and skills</h2><ul><li>
Bachelor's degree in Business, Finance, Technology, or related field;
</li><li>Relevant experience in product management, business analysis, and/or project management within financial services;
</li><li>Strong understanding of financial products &amp; risk, controls and regulatory compliance framework
</li><li>Proven experience with Agile methodologies and product development frameworks</li><li>
Excellent written/verbal communication, stakeholder management, and analytical skills; ability to manage multiple initiatives and drive outcomes</li><li>
Demonstrated ability to work independently, prioritize effectively, adapt to change, and apply critical thinking to drive results</li><li>
Proficient in Microsoft Office (Excel, Visio, PowerPoint, Project, SharePoint) for analysis, process mapping, presentation materials, and collaboration</li><li>
Strong conflict management and negotiation skills, with a track record of building cross-functional relationships</li></ul><h2 class="jobSectionHeader">
Preferred qualifications, capabilities, and skills</h2><ul><li>
Innovation mindset; interest and knowledge of AI/LLM landscape and tools</li><li>
experience in CCOR
</li><li>Familiarity with data analytics platforms/technologies and innovation approaches in Compliance and Operational Risk</li><li>
Intellectual curiosity; strong critical thinking</li><li>
Highly detail-oriented; strong quality focus</li><li>
Strong analytical approach (defining analytical methods, synthesizing insights, focusing on outcomes)</li><li>
Creativity in envisioning sustainable solutions that meet business goals</li><li>
Leadership: ability to influence senior leaders toward a common goal and common approach</li></ul>
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
 
 
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>

CCOR Data Analytics - Product manager - Vice President

<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

Parser Limited

<div>Senior Backend Engineer (Java/Adobe Experience Manager) 
Who is Parser?

Technology alone does not create impact- the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement.

We are a fast-growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East.
We combine global reach with a mindset focused on agility, senior expertise, and close collaboration. We work as an extension of our clients&rsquo; teams, helping them define the right problems, shape solutions, and deliver technology-driven outcomes that create measurable business value. Our expertise spans software engineering, AI &amp; data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. 
Why Join Us?

If you are looking for a place where you can think beyond execution, take true ownership of outcomes, influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we&rsquo;d love to meet you. 
How will you impact? 
At Parser, we build the infrastructure that powers enterprise customer communications at scale. We're looking for a Senior Java Engineer who brings deep backend expertise, with a DevOps mindset, and a passion for building reliable, high-quality systems that make a real difference to customers. 
Your key responsibilities:
<ul>
<li>Designing, implementing, and maintaining scalable customer communication solutions, with a focus on Adobe Experience Manager (AEM) and related enterprise tools</li>
<li>Developing high-quality backend services in Java (Spring Boot)</li>
<li>Building and operating cloud infrastructure on Microsoft Azure, using Terraform for Infrastructure as Code</li>
<li>Championing CI/CD best practices to enable seamless, confident software delivery</li>
<li>Taking ownership of system reliability, maintainability, and performance</li>
<li>Producing clear, thorough documentation that supports team velocity and system longevity</li></ul> 


Tech Stack
<ul>
<li>Languages: Java (primary), JavaScript / TypeScript (nice to have)</li>
<li>Frameworks: Spring Boot</li>
<li>Cloud &amp; Infra: Azure, Terraform</li>
<li>Architecture: Microservices</li>
<li>Databases: PostgreSQL (SQL), CouchDB (NoSQL)</li>
<li>Monitoring: Splunk, New Relic, xMatters</li>
<li>Version Control: GitHub</li>
<li>Tooling: Zendesk, JIRA</li></ul> 


What you'll bring to the role:
<ul>
<li>6+ years of hands-on experience delivering production Java applications</li>
<li>Strong understanding of Spring Boot and microservices architecture</li>
<li>Experience with Adobe Experience Manager (AEM) or similar enterprise content/communication platforms</li>
<li>Proficiency with cloud platforms - Azure preferred; AWS or GCP also valued</li>
<li>Familiarity with Terraform or other IaC tooling (or a genuine drive to get up to speed)</li>
<li>Experience with CI/CD pipelines - e.g. GitHub Actions</li>
<li>Solid grasp of both SQL and NoSQL databases</li>
<li>Excellent communication skills and comfort working in an Agile (Scrum/Kanban) environment</li></ul> 


Nice to Have:
<ul>
<li>Experience with JVM languages beyond Java (Kotlin, Scala, Groovy)</li>
<li>Exposure to TypeScript or Node.js for a full-stack context</li>
<li>Background in system design and distributed systems</li>
<li>Proficiency in Python for scripting or data-adjacent tooling</li>
<li>Familiarity with LLMs, model architectures, and MCP, and experience integrating or building AI-powered features</li>
<li>Understanding of Kubernetes - container orchestration, scaling strategies, networking, and resource management</li></ul> 


Location:

Candidates based in UK/London: Hybrid model, 2-3 days per week in the office at Welwyn Garden City 
You will receive:
<ul>
<li>The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.</li>
<li>The opportunity to be part of an amazing, multicultural community of tech experts.</li>
<li>A highly competitive compensation package.</li>
<li>A flexible and hybrid working environment.</li>
<li>Medical insurance.</li></ul> 


Parser is committed to fostering an inclusive workplace and providing equal employment opportunities to all applicants regardless of race, religion, gender, sexual orientation, age, disability, or any other protected characteristic under applicable law. 
If you require reasonable accommodations during the recruitment process, please let us know and we will work with you to support your participation. 
By applying to this role, you acknowledge that your personal data will be processed in accordance with Parser&rsquo;s Privacy Notice for recruitment purposes. 
Parser may use AI-assisted tools during certain stages of the recruitment process to support operational efficiency. Our recruiting teams use AI to streamline note-taking and scheduling. All hiring decisions are made by people, with human review and oversight. 
Come and join our #ParserCommunity.

Follow us on Linkedin</div>

Senior Java Engineer (Adobe Experience Manager)

Explore 416+ Senior product manager in London this July. Find roles across top companies and apply now to boost your career.