ai product manager

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

Director, Applied AI Product Manager

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

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


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

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


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


What You'll Bring:

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


Agentic AI &amp; GenAI

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


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


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


Why Join Us?

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

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

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

UK Government - Department for Science, Innovation & Technology

Product Manager- Senior to Lead- G7-G6

International Swaps and Derivatives Association

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


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


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

Assistant Director, Artificial Intelligence, London

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Client360 is one of JPMorgan Chase Commercial &amp; Investment Bank's strategic pillars, building the future of our business, and unifying the data fabric of all client activity. Combined with external data, Client360 leverages this unique data asset to deliver insight and enterprise rewiring at scale.
Are you passionate about Agentic AI and operational transformation? As the Agentic AI Operations Lead, you will drive the development and management of agentic AI solutions, enabling intelligent automation across Client360. You will help shape the future of Client360, enhance client engagement, and accelerate business-wide growth and transformation.
Within Data, Digital and AI, as the C360 Agentic AI Operations Lead you will be responsible for the product development and technology build of the Agentic AI workbench and integrated control environment. On establishing this platform, you will work hand-in-hand with the platform and data operations teams to pivot their day-to-day activities into agent led workflows.
Job Responsibilities
<ul><li>Partners with architecture and engineering to establish the future state architecture of the Agentic AI workbench, leveraging market leading agent orchestration, evaluation and connectivity protocols to keep C360 on the cutting edge of agent-led operations.</li>
<li>Manages the delivery, optimization, and integration of agentic AI operations for Client360, ensuring alignment with CIB-wide goals and organizational objectives.</li>
<li>Participates in the planning, execution, and risk management of AI operations programs, including frameworks for AI deployment, monitoring, and operational efficiency.</li>
<li>Supports agentic AI initiatives, from ideation and development to implementation and continuous improvement, adapting to evolving business needs and managing risks.</li>
<li>Coaches and mentors junior team members on best practices in AI operations management, business analysis, stakeholder engagement, and change management, enabling effective delivery of objectives.</li>
<li>Collaborates with engineering, operations, and business teams to maintain and enhance agentic AI platforms, ensuring scalability, reliability, and user-centricity.</li>
<li>Helps define the user experience for Client360 agentic AI operations, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</li>
<li>Supports foundational business processes that enable Client360 through AI-driven solutions.</li>
<li>Assists in establishing and monitoring key performance indicators, ensuring agentic AI operations deliver measurable business value and support long-term strategic goals.</li>
<li>Leverages analytics and AI tools to help derive actionable insights from integrated data and third-party sources, supporting comprehensive client profiles and improved decision-making.</li>
<li>Understands the needs of internal teams and anticipates future requirements, collaborating with stakeholders across Markets, Payments, Global Banking, and the Private Bank to drive consistency and adoption of agentic AI solutions.</li>
<li>Utilizes agentic AI operations to deliver personalized client experiences, streamline operations, and enhance decision-making, while supporting regulatory compliance and risk management.</li>
</ul>Required qualifications, capabilities, and skills
<ul><li>5+ years of experience or equivalent expertise delivering AI operations, business initiatives, or transformation programs.</li>
<li>Strong knowledge of agentic AI systems, service delivery, business process improvement, strategic planning, and data analytics.</li>
<li>Demonstrated ability to support adoption of key AI operations lifecycle activities including discovery, ideation, development, requirements definition, and value management.</li>
<li>Experience supporting change within organizations and managing stakeholders across multiple functions.</li>
<li>Track record of contributing to large-scale AI integration and analytics projects.</li>
<li>Good understanding of AI integration techniques, data governance, regulatory compliance, and operational risk management.</li>
<li>Customer-centric mindset with the ability to prioritize and deliver what clients and stakeholders need.</li>
<li>Experience in working with cross-functional teams and managing stakeholders to drive AI innovation.</li>
<li>Excellent problem-solving skills and strategic thinking about agentic AI operations and their impact on organizational objectives.</li>
<li>Strong communication and interpersonal skills, with the ability to articulate and present complex AI concepts and insights to both technical and non-technical audiences.</li>
<li>Experience with emerging technologies and best practices in AI operations, business analytics, and CRM.</li>
</ul>Preferred qualifications, capabilities, and skills
<ul><li>Experience working in a highly matrixed, complex organization.</li>
<li>Experience in AI operations management, business process management, CRM systems, or related fields within a financial institution.</li>
<li>Bachelor's degree in Business, Data Science, Computer Science, or a related field; advanced degree preferred.</li>
<li>Experience in ensuring customers and stakeholders are engaged and positive about the AI solutions delivered.</li> 
</ul><div></div> 
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Agentic AI Ops Lead

Odevo

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

Senior Engineering Manager

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.

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Senior Java Engineer (Adobe Experience Manager)

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