platform engineer

lead software engineer

engineering manager

lead developer

lead devops engineer

product owner

Intent HQ

<div>About Intent HQ
Recognised by the Financial Times as one of the FT1000 Fast growing companies in Europe in 2022 and 2023, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science with a blue chip international enterprise customer base and solid financial backing from our investors. Our mission is to become the world&rsquo;s preeminent Customer Intent platform by bringing together privacy-first signals intelligence, proprietary behavioural AI/ML analytics &amp; uniquely accessible enterprise insights into a single platform that organisations will use to build more genuine, sustainable and profitable relationships with their customers. . Our initial focus solved problems for clients in the telecommunications sector, including Verizon &amp; Orange. We have since expanded into the Financial Services, Retail and Social Media sectors including HB Reavis and Zurich Group as clients to name a few.
Our clients typically have tens of millions of customers and billions of interaction events each day. We have developed our platform to handle data at this enormous scale efficiently. Intent HQ is unique because we've focused on understanding customer interaction data. We do the hard-specialised work leaving our clients free to focus on integrating the insight into their business, with one Client seeing an additional &pound;26m annual revenue as a result of using our products and services.
Intent HQ is an exciting place to work, we are very proud to have made our debut on the FT1000 Fastest Growing Companies in Europe for 2022! We have a talented team of circa 100 -people (and growing!) based in &amp; around London, Barcelona, Lisbon and New York &amp; Tel Aviv, collectively speaking over 15 languages!<h4 class="jobSectionHeader">
Why Join Us:</h4><ul><li>
Exciting Work Environment: Work on cutting-edge technology at the intersection of AI and data analytics.</li><li>
Growth Opportunities: Advance your career in a fast-paced, innovative industry.</li><li>
Hybrid working: Based in our London office 2-3 days per week and the rest of the week remote, depending on location to the office</li></ul> 
Role Context
This role sits within the Product &amp; Tech organisation at Intent and partners closely with Data Science, Engineering, Client Services (to design and maintain quality standards) and other Product Managers.
IntentAI is the inference layer that turns raw behavioural and device signals into the brands, topics, moments and, eventually, forward-looking predictions (move, buy, churn) that make IntentOne valuable. IntentAI includes an Intent Semantic Layer that selects the right context for each goal and agent at scale, and is our core technical moat.
Today that moat is real but under-explained. This role owns that gap: setting the model north star, raising the bar on model quality and measurement, and making the intelligence legible to buyers, sellers, and the team. 
Role Summary
This role is responsible for:<ul><li>
Owning the product roadmap and north star for IntentAI: what our models predict, how good they need to be, and how that quality compounds into commercial value.</li><li>
Harmonising the Intent Semantic Layer across device and cloud signals, so behaviour captured on the device and in the cloud resolves into one consistent, trustworthy view of human context.</li><li>
Setting and operationalising the quality bar for models and enrichments (coverage, precision, recall, lift, freshness, drift, and cost at scale) so model performance is measured, visible, and improving. This role will be heavily data- and metric-driven.</li><li>
Owning the product story of the semantic layer: explaining clearly why it is differentiated, how it makes sense of human context against a goal, and why it is hard to replicate.</li><li>
Translating model and signal capability into outputs customers trust, with explainability and confidence built in rather than bolted on.</li><li>
Partnering with Data Science and Engineering to prioritise the model roadmap, close evaluation and monitoring gaps, and turn research into shipped, reliable product.</li></ul>
Core Responsibilities<ul><li>
Own the model north star and vision</li></ul><ul><li>
Define what &ldquo;good&rdquo; looks like across the model portfolio (brand and topic affinity, intent segments, moments of need, propensity and churn), with a clear understanding of how it ladders to customer ROI.</li><li>
Maintain a prioritised model roadmap grounded in commercial impact, not research novelty, and make the hard calls on where signal and model depth create real advantage.</li><li>
Articulate a durable vision for how the intelligence layer compounds, with better signals and scale driving better models at lower unit cost.</li><li>
Raise and operationalise model quality</li></ul><ul><li>
Set the evaluation standard for inference quality, coverage, cost, and scalability, measured by lift, precision, recall, and proxy outcomes against ground truth and in-market results.</li><li>
Work with QA to close known gaps in evaluation, drift detection, and performance monitoring so quality is continuously observed, not discovered in incidents.</li><li>
Define maturity indicators, confidence thresholds, and suppression rules so we never ship outputs that are misleading or unexplained.</li><li>
Explain the intent semantic layer</li></ul><ul><li>
Own clear, layered explanations of the semantic layer for technical and non-technical audiences, covering how it harmonises device and cloud signals, selects relevant context per goal, and keeps the platform accurate and cost-efficient at billions of events.</li><li>
Turn the moat into language Sales and Solutions can use to connect the smarts of the platform to the customer promise, without overstating what the evidence supports.</li><li>
Make outputs trustworthy</li></ul><ul><li>
Ensure outputs are grounded in model evidence, with explainable scoring and clear confidence, so enterprise buyers trust how they are generated and how their own rules are handled, removing the &ldquo;black box&rdquo; objection.</li><li>
Translate model needs into clear product requirements and reusable platform capability with Data Science and Engineering, and own the tradeoffs across model richness, latency, cost, and time-to-value.</li></ul>
What you&rsquo;ll bring<ul><li>
Deep fluency across the modelling stack, from supervised learning, propensity and uplift, to representation and embedding models, alongside modern LLM-based systems. You understand how predictive models are trained, evaluated, and shipped, not just prompted.</li><li>
A metrics-first instinct: fluent in precision, recall, lift, AUC, drift, and the economics of running models at scale. You explain complex intelligence simply and hold a high bar without stalling delivery.</li><li>
An exceptional flair for data translation and storytelling. You can turn complex models, signals, and analytical outputs into clear, compelling narratives that make the intelligence intuitive, credible, and actionable for technical and non-technical audiences alike.</li></ul> 
Diversity &amp; Inclusion
Intent HQ is an equal opportunities employer with an ethos of commitment to promoting and practicing diversity, equality and inclusion at work. At IHQ, different perspectives, ideas and experiences are valued and respected, with fair and equal opportunities provided for all. Our diversity and inclusion efforts have been recognised with us winning two consecutive Women in Tech UK Awards, under the Best Tech Employer (51-149 Employees)&rsquo; category &amp; being shortlisted for the Best Employer for Parental Support award - an achievement we are very proud of. This year in 2026 our Global Head if Talent is on the judges panel for the awards as we continue to sup such an important initiative.
Our Culture
Working for Intent HQ, you have the opportunity to work with cutting edge technology in an environment where you are encouraged to think and act outside traditional methods. We are a growing business with a flat structure meaning everyone is visible and able to make an impact, not just in their own role, but across the business on a daily basis. We promote a collaborative, innovative and sociable culture, oriented towards performance and competitive advantage. Our DNA is made up of flexibility to all staff with a family friendly approach and focus on personal development. We have high expectations and pride ourselves on our cultural standards. 
Benefits<ul><li>
Private Medical Insurance (subject to eligibility)</li><li>
Income Protection with Employee Assistance Programme (EAP)</li><li>
Life Assurance</li><li>
Higher than statutory maternity &amp; paternity benefits</li><li>
Pension scheme</li><li>
Flexible working</li><li>
26 days holiday (increasing with service)</li><li>
Tech pack</li><li>
Training opportunities</li><li>
Wellbeing programme</li><li>
Oliva mental health platform &amp; counselling</li><li>
Cycle to Work scheme</li><li>
Free access to onsite gym (including towel-serviced changing rooms and showers)</li><li>
Free breakfast daily &amp; healthy weekly lunch (when in office)</li></ul></div>

AI Product Manager

Civica

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

Product Manager - Pensions

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

JPMorganChase

<div>JOB DESCRIPTION 
 
 
<div>Client360 &ndash; Senior Associate
You enjoy shaping the future of product innovation, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. We foster a collaborative environment where your ideas drive progress, and your growth is our priority. As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence.
As a Product Senior Associate in Data, Digital &amp; AI, you will help translate business needs into well-defined delivery artifacts and coordinate cross-functional execution across product, technology, operations, and business stakeholders. You will contribute to scalable, resilient, and stable product capabilities by driving disciplined requirements, backlog hygiene, end-to-end testing coordination, and operational readiness practices. This role is hands-on and execution-oriented, designed for a strong operator who can move work forward in a highly matrixed environment.
Operating within Client360, you support the delivery of priority initiatives that improve operational effectiveness and business adoption. You partner with product, technology, and business leaders to implement data- and AI-enabled commercial solutions for executives, team leads, and frontline bankers. Your work helps define the business experience, focusing on process optimization, data-driven insights, and stakeholder satisfaction.
Job Responsibilities<ul><li>
Partner closely with Product Owners to support discovery and delivery by converting stakeholder needs into clear, actionable requirements that enable development teams to execute efficiently</li><li>
Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition.</li><li>
Support building the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.</li><li>
Participate in planning, execution, risk management, and delivery of business programs focused on process improvement and operational efficiency.</li><li>
Collaborate with engineering, operations, and business teams to maintain and enhance processes and platforms.</li><li>
Assist in establishing and monitoring key performance indicators to ensure measurable business value.</li><li>
Leverage analytics, including machine learning and AI, to derive actionable business insights.</li><li>
Understand internal team needs and anticipate future requirements, collaborating across Markets, Payments, Global Banking, and Private Bank..
</li></ul></div>Reuired qualifications, capabilities and skills<ul><li>
5+ years of experience or equivalent expertise delivering business initiatives, projects, or transformation programs.</li><li>
Ability to deal with different stakeholder groups to elicit business requirements, processes and data trends.</li><li>
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.</li><li>
Strong knowledge of business process improvement, strategic planning, and data analytics.</li><li>
Excellent oral and written communication and presentations skills across various stakeholders and senior management; ability to synthesize large amounts of information, summarize key concepts and articulate relevant issues.</li><li>
Highly collaborative, detail-oriented, and proactive; capable of managing multiple workstreams under tight deadlines while maintaining quality and follow-through with minimal oversight.</li><li>
Experience supporting change and managing stakeholders across multiple functions.</li><li>
Track record of contributing to large-scale business integration and analytics projects.</li><li>
Understanding of business integration techniques, data governance, regulatory compliance, and operational risk management.</li><li>
Customer-centric mindset with ability to prioritize and deliver stakeholder needs.</li><li>
Experience working with cross-functional teams to drive business innovation.</li><li>
Excellent problem-solving skills and strategic thinking.</li><li>
Strong communication and interpersonal skills, able to present complex concepts to technical and non-technical audiences.</li><li>
Experience with emerging technologies and best practices in business analytics and CRM.</li></ul>
Preferred qualifications, capabilities, and skills<div><ul><li>
Demonstrated prior experience working in a highly matrixed, complex organization.</li><li>
Experience in business process management, CRM systems, or related fields within a financial institution.</li><li>
Bachelor's degree in Business, Data Science, or a related field; advanced degree preferred.</li><li>
Experience in ensuring customers and stakeholders are engaged and positive about delivered initiatives</li></ul></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>

Senior Product Associate -Data, Digital & AI

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

Director, Applied AI Product Manager

Worldpay

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

Senior ML Software Engineer

Voxquill

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

Founding Engineer (Full Stack); Patch to CTO

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