technical lead

Universal Music Group

<div>Music is Universal 
 
It&rsquo;s the passionate and dedicated team at Universal Music who help make us the world&rsquo;s leading music company. From A&amp;R to finance, legal to digital, sales to marketing, Universal Music is the place to grow and develop your career within a truly commercial and innovative business that leads in everything it does.
Everyone is welcome to apply for our roles, and we are determined to ensure that no applicant or employee receives less favourable treatment because of gender, race, disability, sexual orientation, religion, belief, age, marital status, background, pregnancy, or caring responsibilities. We also recognise the importance of diversity of thought within our teams and are fully committed to embracing the talents of people with autism, dyslexia, ADHD, and other forms of neurocognitive variation.
We will always seek to make appropriate adjustments to recruitment, workplaces, and work processes to be fully inclusive to people with different needs and working styles. If you need us to make any reasonable adjustments for you from application onwards, including alternatives to the online form or to disclose a neurocognitive condition, please email UniversalMusicCareers@umusic.com.
Department
With a global footprint, the Universal Music Group Royalty and Copyright Product Team designs, develops, delivers and maintains a number of technical solutions to calculate royalty accountings in a timely and accurate manner to our valued artists. We&rsquo;re also providing them with an extent and detailed visibility of these earning from various sources of digital incomes.
The team continuously collaborates with our international business teams to deliver innovative solutions as well as supporting best practices and new processes for a better royalty flow.
The Role
The Lead Developer will be responsible for designing, developing and maintaining backend services using .NET Core / ASP.NET Core on AWS, with a strong focus on serverless architectures and event-driven systems using Kafka / AWS MSK. The Lead Developer will also work with containerised workloads on Kubernetes, and have exposure to modern DevOps and CI/CD practices.
The Lead Developer will be part of an agile product team, collaborating closely with product owners, business analysts, engineers, architects, QAs and DevOps to deliver secure, performant and reliable solutions.
Key Responsibilities
Be Technical
<ul><li>Design, build and maintain backend services and APIs using .NET Core / ASP.NET Core.</li><li>
Develop and support AWS serverless solutions (e.g. Lambda, API Gateway, Step Functions, DynamoDB, S3).</li><li>
Implement event-driven architectures using Kafka (preferably on AWS MSK) for high-throughput, near real-time processing.</li><li>
Work with Docker and Kubernetes to build, deploy and run containerised services.</li><li>
Contribute to the design and implementation of scalable, secure and resilient cloud architectures.</li><li>
Work with DevOps engineers to enhance CI/CD pipelines, automated testing and deployment processes.</li><li>
Model and optimise data across SQL and NoSQL stores.</li></ul>
Be a leader
<ul><li>Providing technical leadership and direction for the Royalty development team.</li><li>
Orchestrate development by leading a development team.</li><li>
Establish and enforce development guidelines.</li><li>
Strong leadership, communication, and interpersonal skills, with the ability to influence and engage stakeholders at all levels.</li></ul>
Be Collaborative
<ul><li>Participate in code reviews, technical discussions and agile ceremonies.</li><li>
Troubleshoot production issues and improve monitoring, logging and alerting across services.</li><li>
Collaborate with stakeholders to refine requirements and deliver high-quality solutions on time.</li><li>
Build positive relationships with business stakeholders and rest of development teams.</li></ul>
Skills and Experience required
Must have<ul><li>
Strong commercial experience with .NET Core / ASP.NET Core for backend development.</li><li>
Proven experience building solutions on AWS, ideally including serverless services (Lambda, API Gateway, DynamoDB, etc.).</li><li>
Hands-on experience with Kafka (preferably AWS MSK) for messaging/stream processing.</li><li>
Experience with Docker and Kubernetes for container orchestration.</li><li>
Good understanding of DevOps concepts, with practical experience using Git and working with CI/CD tooling (e.g. GitHub Actions, Azure DevOps, GitLab CI or similar).</li><li>
Experience with both SQL (e.g. SQL Server, PostgreSQL, MySQL) and NoSQL databases (e.g. DynamoDB, MongoDB).</li><li>
Comfortable working in an agile environment (Scrum/Kanban).</li><li>
Strong problem-solving skills, attention to detail and a collaborative mindset.</li></ul>
Nice to have<ul><li>
Experience in media, entertainment or digital content domains.</li><li>
Knowledge of microservices and event-driven architectures.</li><li>
Experience with Infrastructure as Code (e.g. CloudFormation, CDK, Terraform).</li><li>
Any experience with MCP (Model Context Protocol) and/or MLOps (e.g. model deployment pipelines, monitoring and lifecycle management) is highly desirable.</li><li>
Understanding of compliance requirement around SDLC, ITGC,ITAC.</li></ul>
Key Behavioural/Personality Traits
The Lead Developer will demonstrate strong leadership across the full project lifecycle, communicating effectively with stakeholder. The Lead Developer will guide and mentor the development team, ensuring high engineering standards and fostering a productive, collaborative environment.
About UMG UK
We are Universal Music Group UK &ndash; the UK&rsquo;s leading music-based entertainment company. We exist to shape culture through the power of artistry. We help UK artists produce, distribute and promote the most critically acclaimed and commercially successful music to inspire and entertain fans at home and around the world.
Bonus Tracks: Your Benefits<ul><li>
Group Personal Pension Scheme (between 3% and 9%)</li><li>
Private Medical Insurance</li><li>
25 paid days of annual leave</li><li>
Interest Free Season Ticket Loan</li><li>
Holiday Purchase scheme</li><li>
Dental and Travel Insurance options</li><li>
Cycle to Work Scheme</li><li>
Salary Sacrifice Cars</li><li>
Subsidised Gym Membership</li><li>
Employee Discounts (Reward Gateway)</li></ul>
Just So You Know&hellip;
The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive, and exhaustive statement.<h2 class="jobSectionHeader"> 
Job Category:</h2>
Universal Music Group</div>

Lead Developer

TPXimpact

<div><h3 class="jobSectionHeader">About The Role</h3>
Job Level: 10

UK Wide
 
 
We are looking for a Lead Software Engineer who will be responsible for the design, development, and deployment of high-quality software solutions.

This role involves leading a team of engineers on high-profile projects, ensuring best practices are followed, and driving continuous improvement in software development processes.

You will collaborate closely with cross-functional teams, including product management and UX/UI, to ensure that our software solutions meet business and customer needs. 
You will be responsible for driving culture through your craft and be keen to take on line management responsibilities. 

Responsibilities
<ul>
<li>Lead the architecture, design, and development of complex software systems, ensuring they meet high standards of quality, security, and scalability.
</li><li>Manage and mentor a team of software engineers, providing technical guidance to foster professional growth.
</li><li>Ensure that coding standards, development best practices, and operational processes are consistently applied.
</li><li>Collaborate with product managers, UX/UI teams, and other departments such as DevOps, QA, and IT to translate business requirements into technical specifications and ensure smooth delivery.
</li><li>Drive continuous improvement initiatives to optimise performance, reliability, and security in software applications.
</li><li>Conduct regular code reviews and ensure that feedback is constructive and promotes learning within the team.
</li><li>Implement and maintain CI/CD pipelines to streamline the development and deployment process.
</li><li>Troubleshoot and resolve complex technical issues that arise during the software development lifecycle.
</li><li>Stay up-to-date with the latest trends in software engineering, communicate complex technical concepts to non-technical stakeholders, and drive the adoption of new tools and methodologies where beneficial.
</li><li>Manage project timelines, ensuring that deliverables are completed on time and within scope.
</li><li>Contribute to bid questions &amp; early-stage hiring eg cv screening or technical assessments when required
</li></ul><h3 class="jobSectionHeader">About You</h3>
Professional knowledge and experience

Essential:
<ul>
<li>Extensive experience in full-stack software engineering, including design, development, testing, and deployment.
</li><li>Hands on experience with Java, Spring Boot, Python and Microservices, although a true polyglot is preferred.
</li><li>Strong understanding of software development methodologies such as Agile, TDD and DevOps.
</li><li>Some proficiency in multiple programming languages such as Python, JavaScript, or similar.
</li><li>Extensive experience writing well-tested code.
</li><li>Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code
</li><li>Experience with CI/CD pipelines and automated testing frameworks.
</li><li>Experience with various architecture patterns eg microservices and event-driven.
</li><li>Experience with containerization technologies (e.g. Docker, Kubernetes).
</li><li>Proven ability to manage and lead engineering teams to success.
</li><li>Expertise in designing scalable and secure software architectures.
</li></ul>Desirable: 
<ul>
<li>Knowledge of emerging technologies like AI
</li><li>Previous, relevant experience as a senior software engineer
</li><li>Leading a large multidisciplinary project
</li><li>Line management experience
</li><li>Experience interviewing and screening candidates
</li><li>Experience responding to bid questions 
</li></ul> 
Skills
<ul>
<li>Software Architecture: Expertise in designing scalable, secure, and efficient software architectures, ensuring alignment with business goals.
</li><li>Cloud Platforms: Strong proficiency in cloud technologies, including architecture and deployment strategies.
</li><li>Programming and Development: Advanced knowledge of multiple programming languages and frameworks (e.g., Python, Java, Node.js).
</li><li>CI/CD and Automation: Implementing and maintaining continuous integration/continuous deployment pipelines to accelerate development cycles.
</li><li>Code Quality and Testing: Experience with automated testing frameworks (e.g., Jest, JUnit) and best practices for ensuring code quality.
</li><li>DevOps Practices: Expertise in DevOps, particularly around automating deployment, monitoring, and scaling applications.
</li><li>Communication: Able to confidently communicate with internal and external stakeholders at both the technical and non-technical levels. Able to present and give feedback to relevant groups. Eg demo/TDA 
</li></ul>Behaviours and PACT values
<ul>
<li>Purpose: Be values-driven, recognising that our client's needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.
</li><li>Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost.
</li><li>Craft: Balance multiple priorities while leading high-performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.
</li><li>Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients. 
</li></ul> 
 
<h3 class="jobSectionHeader">About Us</h3>
People-powered transformation

We're a purpose driven organisation, supporting organisations to build a better future for people, places and the planet. Combining vast experience in the public, private and third sectors and expertise in human-centred design, data, experience and technology, we&rsquo;re creating sustainable solutions ready for an ever-evolving world. 

At the heart of TPXimpact, we&rsquo;re collaborative and empathetic. We&rsquo;re a team of passionate people who care deeply about the work we do and the impact we have in the world. We know that change happens through people, with people and for people. That&rsquo;s why we believe in people-powered transformation. 

Working in close collaboration with our clients, we seek to understand their unique challenges, questioning assumptions and building in their teams the capabilities and confidence to continue learning, iterating and adapting. 

We&rsquo;re an inclusive employer, and we care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview.
Benefits include:
<ul>
<li>30 days holiday + bank holidays
</li><li>2 volunteer days for causes that you are passionate about
</li><li>maternity/paternity - 6 months Maternity Leave, 3 months Paternity Leave
</li><li>life assurance
</li><li>employer pension contribution of 5%
</li><li>health cash plan
</li><li>personal learning and development budget
</li><li>Employee Assistance Programme
</li><li>access to equity in the business through a Share Incentive Plan
</li><li>green incentive programmes including Electric Vehicle Leasing and the Cycle to Work Scheme
</li><li>health assessments</li></ul></div>

Lead Fullstack Software Engineer (Java, Spring Boot, Microservices)

JPMorganChase

<div>JOB DESCRIPTION 
 
 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Senior Lead Software Engineer within the Equities Derivatives and Risk Technology team at JPMorgan Chase, you will play a pivotal role in an agile environment, driving the development and enhancement of market-leading technology solutions. You will be hands-on in building a critical, trader-facing Risk Management UI using React, while also mentoring and guiding team members in best development practices. Your expertise will directly influence business outcomes, leveraging deep technical skills and innovative problem-solving to address complex challenges across multiple technologies and applications.
Key Responsibilities<ul><li>
Design, develop, and troubleshoot creative software solutions, applying innovative thinking to solve technical challenges and deliver robust systems.</li><li>
Write secure, high-quality production code in React and Typescript, and conduct thorough code reviews and debugging for team contributions.</li><li>
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li><li>
Identify and implement opportunities to automate or remediate recurring issues, enhancing the operational stability of applications and systems.</li><li>
Lead technical evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and technical suitability for integration with existing systems.</li><li>
Champion communities of practice within Software Engineering, promoting the adoption of new and emerging technologies.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification in software engineering, with advanced proficiency in React.</li><li>
Strong experience with automation and continuous delivery (CI/CD) methodologies.</li><li>
Comprehensive understanding of the Software Development Life Cycle.</li><li>
Advanced knowledge of agile practices, including CI/CD, application resiliency, and security.</li><li>
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.</li><li>
Demonstrated expertise in software development and technical processes, with exposure to areas such as cloud, AI/ML, or mobile technologies.</li><li>
Hands-on experience building complex web applications using React and Typescript.</li><li>
Familiarity with modern web build tools (e.g., webpack, Create React App, Vite).</li><li>
Proven ability to develop secure, high-quality production Typescript code.</li><li>
Commitment to code quality, including writing and maintaining test cases with frameworks such as Jest, Cypress, and @testing-library/react, as well as conducting performance testing.
</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
 
 
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>

React UI Senior Lead Engineer - Synergy EMEA

Ravio

<div>We help companies get compensation right.
What we get paid at work has a massive impact on our lives, and it&rsquo;s one of the biggest factors in hiring and retaining talent - and yet so many companies struggle to get it right. They simply have no choice but to rely on poor data and unsophisticated tools for their pay decisions. That&rsquo;s why we created Ravio.
We help many of the world&rsquo;s most innovative and ambitious companies build stronger teams and reach their goals through better compensation. Our real-time data platform brings compensation into the modern age, tracking the market across all compensation types from salary to equity and benefits.
Ravio is growing fast, which means you can too. We&rsquo;ve established ourselves as the European leader in our space serving more than 1,200 clients, and now have our sights set on becoming the global go to place for compensation data and tools for managing compensation.
Joining a startup and scaling it into a global product is one of the most challenging and rewarding experiences a career can offer. If that sounds exciting to you, you&rsquo;re in the right place. 
The role
We&rsquo;re looking for a Lead Software Engineer to join our engineering team and play a major role in our technical leadership during a significant platform shift.
Ravio is moving from a traditional SaaS posture to a platform built around agents - parent agents fronting our compensation data, specialist agents underneath, durable workflows, an MCP-based tool layer, and an eval harness to maintain consistency. You&rsquo;ll own architecture and technical design across the stack: the customer-facing web app, the agentic platform, and the shared infrastructure connecting them.
You&rsquo;ll bring system design depth - the kind that holds up under load, failure, and coordination across services and teams. You&rsquo;ll continue to raise the bar on code quality, reliability, and the technical decisions that shape what we ship.
This is a hands-on individual contributor role - leading technical decision-making and tackling the hardest problems we encounter. There are also upcoming opportunities to move into management as our company continues to grow, if you wish. 
Requirements<ul><li>
8+ years commercial engineering experience, with a track record of technical leadership during platform shifts - owning architecture, driving decisions, raising the bar through code review and design review, especially where LLM assisted engineering has become the standard</li><li>
System design depth as your headline strength. Concrete: durability and consistency under failure, multi-service orchestration, data platforms, performance and cost at scale, observability and ops fluency</li><li>
Senior-level fluency in TypeScript and Node, comfortable across the backend (PostgreSQL, GraphQL or HTTP APIs, GCP-shaped infra)</li><li>
Comfortable owning code in a distributed monorepo with multiple deployable services</li><li>
Ships fast under product pressure - we&rsquo;re moving from PMF to scale and the role needs that pace</li></ul>
Nice to have<ul><li>
Production experience with agentic systems - tool calling, multi-step orchestration, LLM evals.</li><li>
Workflow engines (Temporal, Cadence, Step Functions) - even if not Temporal specifically</li><li>
MCP, Anthropic SDK, or other LLM platform work</li><li>
Building developer platforms, internal SDKs, or framework-shaped surfaces</li><li>
Eval-driven development, prompt engineering at scale, LLM-judge harnesses</li><li>
React or another modern frontend framework</li></ul>
Our tech stack<ul><li>
Frontend<ul><li>
React</li><li>
Typescript</li><li>
GraphQL (Apollo Client)</li><li>
Playwright</li><li>
Jest</li><li>
Storybook + Chromatic</li><li>
Mantine</li><li>
GCP (Cloud Run)</li></ul></li><li>
Backend<ul><li>
Typescript</li><li>
PostgreSQL</li><li>
GraphQL Yoga</li><li>
Jest</li><li>
Auth0</li><li>
GCP (Cloud Run, Cloud SQL, Cloud Storage + more)</li></ul></li><li>
AI / agentic platform<ul><li>
Opus/GPT/Gemini/and many more model families</li><li>
Vertex/Bedrock/Foundry - Cloud deployed models</li><li>
Temporal - durable workflow engine</li><li>
MCP servers as the tool layer</li><li>
AI gateway (Bifrost) for logging, routing, governance</li><li>
Eval harness (Phoenix) - golden queries, LLM-as-judge</li><li>
Memory layer (Neo4j)</li></ul></li><li>
All the other good stuff<ul><li>
GitHub Actions</li><li>
Datadog</li><li>
Figma</li><li>
Slack</li><li>
Linear</li></ul></li></ul>
The opportunity at Ravio right now
From your perspective, there are three critical things to look for when evaluating this role: a company going places, a strong engineering culture, and a role that gives you a true opportunity to have impact as a technical leader.
Ultimately it&rsquo;s for you to decide whether that&rsquo;s true in our two-way street interview process. Here&rsquo;s a summary of where we are right now and what you can expect as a starting point.
There&rsquo;s a lot happening at Ravio right now. We&rsquo;ve just raised our Series A led by tier 1 US investors Spark Capital, and have acquired the benchmarking business of our competitor - Compete. We&rsquo;ve got new joiners starting almost every week, and we&rsquo;re rapidly expanding outside of our core markets in Europe. We need you to help us maintain our velocity and continue to build a scalable org and product.
Our core benchmarking product is at product-market fit, and we have a couple of new modules in the 0-1 phase. This means we&rsquo;re at an exciting stage that involves 0-to-1 building in some areas, and building for scale in others. That&rsquo;s true across the business, we&rsquo;re continuing to expand and experiment, while systemising and doubling down on what is already working well from our seed phase.
Beyond the core product, we&rsquo;re building Ravio&rsquo;s agentic platform - parent agents fronting our compensation data with specialist agents underneath, durable workflows on Temporal, an MCP-based tool layer, and an eval harness to maintain consistency. It&rsquo;s a platform engineering effort with the same care and rigour we apply to the rest of the product. A Lead engineer joining now would help shape the foundations of how Ravio&rsquo;s product is built for the next phase.
We&rsquo;d like to think Ravio is a great place to be a Lead engineer - we have technical leaders who know first hand the importance of creating space and focus for engineering teams to do their best work. And you&rsquo;ll be working alongside many accomplished and world class teammates, who are energised by the work they do and have a high bar for themselves and their colleagues.
Why join Ravio?<ul><li>
Shape an agentic platform from its early stages, with senior engineering peers and a high autonomy bar.</li><li>
Opportunity for fast-tracked professional growth at a scaleup backed by world-class investors alongside a smart, energetic team.</li><li>
Blend of IC work and leadership, giving you both hands-on impact and career growth.</li><li>
Remote-friendly, flexible work culture with a high degree of ownership.</li><li>
While we&rsquo;re very focused, we also know how to have fun in the process.</li><li>
Build a meaningful product that helps people get paid fairly and competitively in their careers.</li></ul><h2 class="jobSectionHeader">
Compensation &amp; benefits</h2><ul><li>
&pound;110,000 - &pound;150,000</li></ul><ul><li>
Company ownership (everyone gets a meaningful equity stake in Ravio)</li><li>
37 days paid time off (25 days holiday + 4 wellness days + 8 public holidays)</li><li>
Up to 6% pension matching scheme</li><li>
&pound;60 a month wellness allowance (Invest in your physical wellbeing, on us)</li><li>
&pound;500 per year Learning and Development budget</li><li>
Private healthcare cover (on a medical history disregarded basis) with AXA</li><li>
Personal worldwide travel insurance - just in case</li><li>
Income protection insurance (for full peace of mind in case you cannot work because of sickness or disability)</li><li>
16 weeks fully paid birthing parent leave, followed by 4 weeks at 50% pay. For non-birthing parents, we offer 8 weeks fully paid leave.</li></ul>
For more information about what we collect and how we use it when you apply for a role with us, please refer to our Candidate Privacy Notice
#LI-Hybrid
#LI-JC1
Compensation Range: &pound;110K - &pound;150K</div>

Lead Software Engineer

Speechify

<div>The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading &ndash; PDFs, books, Google Docs, news articles, websites &ndash; into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting &ndash; Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.

Our interview process involves several technical interviews and we aim to complete them within 1 week.

What You'll Do
<ul>
<li>Actively ship production code to the web products</li>
<li>Work closely with your dedicated product team</li>
<li>Participate in product discussions to shape the product roadmap</li>
<li>Have the opportunity to work on new and exciting features that will impact millions of lives</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Experience. You've built and ship products that have scaled to thousands or millions of users</li>
<li>Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs</li>
<li>Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs</li>
<li>Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript</li>
</ul>
What We Offer
<ul><li>A fast-growing environment where you can help shape the culture</li>
<li>An entrepreneurial crew that supports risk, intuition, and hustle</li>
<li>A hands-off approach so you can focus and do your best work</li>
<li>The opportunity to make an impact in a transformative industry</li>
<li>A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Tech Lead, Web Core Product & Chrome Extension - London, United Kingdom

Faculty

<div><h2 class="jobSectionHeader">Why Faculty? 
</h2> 
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.<h2 class="jobSectionHeader"> 
About the team</h2><div> 
</div>Our Public Services Business Unit is committed to leveraging AI for the benefit of individual citizens and the public good. 
 
From our work informing strategic government decisions, to optimising our NHS, through to reducing bureaucratic backlogs - we know that AI offers opportunities to drive improvements at every level of Government and we are proud to lead on some of the most impactful work happening in the sector. 
 
Because of the nature of the work we do with our Government clients, you may need to be eligible for UK Security Clearance (SC) and willing to work on site with these clients from time to time.<h2 class="jobSectionHeader">
About the role</h2>
As a Lead AI/ML Engineer at Faculty, you will set the technical direction for complex AI/ML projects, ensuring models perform at scale and in production over time by balancing technical trade-offs and guiding team priorities.
You will lead the delivery of large-scale AI-powered platforms in high-risk environments while defining project roadmaps across multiple complex workstreams. 
 
This is an ambitious, entrepreneurial leadership role where you will act as a trusted technical expert, defending your architectural rationale to senior stakeholders to ensure we deliver high-quality, high-value outputs.<div></div><div> 
</div><h2 class="jobSectionHeader">
What you'll be doing:</h2><ul><li> 
Setting the technical direction for complex software projects to ensure architectural decisions support long-term product and client goals.</li><li>
Driving the development of shared software libraries and microservices that accelerate delivery across multiple client engagements.</li><li>
Overseeing the delivery of large-scale AI-powered platforms while defining project roadmaps in high-risk environments.</li><li>
Facilitating alignment between ML, Data Science, and DevOps crafts to ensure agentic software is built on a reliable foundation.</li><li>
Managing and coaching a distributed team of engineers, setting development goals that align with organisational growth.</li><li>
Establishing enterprise-wide standards for code delivery, testing, and system documentation across the software engineering craft.</li><li>
Leading hiring processes for the software engineering craft to continue building a world-class technical team.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
Who we're looking for:</h2><ul><li> 
You apply deep expertise across the application lifecycle to set high standards for system integration and end-user software quality.</li><li>
You design large-scale, complex software ecosystems with the authority to justify critical architectural trade-offs in high-stakes environments.</li><li>
You define the gold standard for production readiness, establishing application deployment protocols across diverse client engagements.</li><li>
You translate high-level commercial strategy into technical roadmaps, ensuring AI work-streams are accurately estimated and seamlessly integrated.</li><li>
You architecturally direct the development of products leveraging autonomous AI agents to ensure they are robust and effectively integrated.</li><li>
You are a confident communicator, capable of conveying complex technical roadmaps and architectural risks to commercial partners and executive leadership.</li></ul><h2 class="jobSectionHeader">
The Interview Process</h2><div></div><ul><li> 
Talent Team Screen (30 minutes)</li><li>
Introduction to the Hiring Manager (30 minutes)
</li><li>Pair Programming Interview (90 minutes)
</li><li>System Design Interview (90 minutes)
</li><li>Commercial &amp; Leadership Interview (60 minutes)</li></ul><div></div> 
#LI-PRIO<h2 class="jobSectionHeader">
Our Recruitment Ethos</h2>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:<ul><li>
Unlimited Annual Leave Policy</li><li>
Private healthcare and dental</li><li>
Enhanced parental leave</li><li>
Family-Friendly Flexibility &amp; Flexible working</li><li>
Sanctus Coaching</li><li>
Hybrid Working</li></ul>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</div>

BlackRock

<div><div><div><div>Locations: London, United Kingdom; Edinburgh, United Kingdom
Additional Locations: ED3 - 20 Brandon Street, Edinburgh</div></div></div></div>
 <div><h2 class="jobSectionHeader">Job description</h2>
<div>About this role
The VP AI Data Engineering Lead operates at the intersection of strategic influence, team leadership, and delivery excellence &mdash; playing a defining role in how AI-powered data and knowledge products are conceived, designed, and executed across the organization.
He/She/They lead a multi-team organization of AI agent engineers and data scientists &mdash; setting technical and delivery direction, building the team&rsquo;s capability, and holding accountability for the production systems powering the commercialized knowledge products.
He/She/They function as the most senior bridge between Product Management leadership, business functional stakeholders, and AI engineering &mdash; bringing the technical depth and strategic breadth to influence product vision while holding firm accountability for engineering delivery outcomes across multiple squads.
He/She/They sets the organizational standard for how product intent gets translated into technical reality, establishing engineering frameworks, authoring principles, and driving the culture of quality, accuracy, and ownership across the broader Product Lead community.
He/She/They are deeply experienced in the nuances of AI engineering, from agent workflow design and Vision AI evaluation to production validation, output-quality governance, and customer adoption of knowledge products. Beyond the delivery mandate, they are a builder of people and of technical leaders of tomorrow &mdash; developing high-performing teams and creating the conditions for others to do their best work.
This is a role for a leader who thinks in systems, acts with purpose, and measures their success not just by what ships, but by the commercial credibility and lasting organizational capability left behind.
Roles &amp; Responsibilities
<ul><li>Lead a team of AI agent engineers and data scientists &mdash; setting technical direction, managing delivery, driving performance, developing individual capability across the team, and building the talent bench across the function.
</li><li>Own end-to-end solution design &amp; delivery for complex AI features across multiple AI engineering squads building multi-agent, GenAI, and Vision AI workflows &mdash; ensuring consistency, quality, and strategic alignment at scale.
</li><li>Drive backlog prioritization at the product-area level, balancing customer value, technical feasibility, AI accuracy expectations, model/vision constraints, and team capacity
</li><li>Run sprint planning, team stand-ups, and retrospectives; create the operating rhythm and working environment for engineers and data scientists to do their best work
</li><li>Proactively engage and act as the bridge between the Product Management, business stakeholders and AI engineering &mdash; influencing product vision &amp; feature prioritization (definition, scope, and sequencing) from deep understanding of technical possibility and commercial reality influence feature.
</li><li>Partner with Product Managers to shape feature roadmaps, bringing technical and AI-specific insight that meaningfully influences what gets built, when, and at what quality bar.
</li><li>Drive structured refinement sessions with the team, ensuring stories are technically complete and aligned on solution approach before development begins.
</li><li>Define and enforce quality standards for user story delivery &mdash; including extraction accuracy, edge-case coverage, agent behaviour expectations, and non-functional requirements
</li><li>Lead post-implementation validation efforts &mdash; coordinating UAT, output-quality reviews, production monitoring, and closing the loop with stakeholders on commercial outcomes
</li><li>Support product activation and customer adoption &mdash; translating delivery milestones into customer-facing readiness for data/knowledge product rollout
</li><li>Define and champion organization-wide standards for user story authoring, solution design, backlog management, and delivery quality for AI-powered knowledge products
</li><li>Lead complex, cross-functional AI initiatives from discovery through delivery &mdash; managing dependencies, risks, and stakeholder expectations across teams.
</li><li>Coach and mentor team members, conduct performance conversations, and contribute to hiring decisions for the AI engineering and data science team.
</li><li>Establish frameworks for post-implementation validation, output-quality governance, production monitoring, and customer success during product activation and adoption at scale
</li><li>Identify systemic delivery bottlenecks and drive process improvements that raise velocity and quality across the product organization
</li><li>Build and mentor a high-performing team of AI agent engineers, and data scientists &mdash; driving hiring, onboarding, performance management, and career development at scale
</li><li>Shape organizational design, team structure, and operating model for the AI data engineering function as the business scales
</li></ul>Required Skills &amp; Experience
Technical Skills
<ul><li>Minimum 6-8 years of experience in AI Engineering Delivery Lead, or AI Program Lead, or Engineering Manager roles, with at-least 2-3 years operating as AI Engineering Principal within a SaaS, AI, or data-product organization.
</li><li>Deep expertise and Proven experience in AI solution design and technical scoping for AI-driven features &mdash; ideally including GenAI, LLM-based capabilities, Vision AI, and multi-agent workflows.
</li><li>Strong command of scaled Agile delivery, cross-team dependency management, and delivery governance frameworks, backlog management, sprint planning, and Agile delivery tooling at scale (Jira, Confluence, Miro, or equivalent)
</li><li>Ability to engage meaningfully with AI engineers and data scientists on architecture decisions, agent orchestration, prompt design, Vision AI trade-offs, and model behaviour
</li><li>Fluency in the AI product development lifecycle &mdash; extraction accuracy, model evaluation, prompt engineering considerations, non-deterministic behaviour, and production monitoring
</li><li>Solid understanding of evaluation approaches for AI outputs &mdash; accuracy metrics, ground-truth validation, human-in-the-loop review, and output-quality benchmarking
</li><li>Familiarity with unstructured data extraction challenges across document, image, and multimodal inputs.
</li><li>Advanced grasp of product analytics, AI output-quality measurement, and outcome-based evaluation frameworks for data/knowledge products
</li><li>Deep understanding of responsible AI principles (accuracy governance, data provenance, and user trust as they relate to commercialized AI outputs) and their practical implications for feature design, accuracy governance, customer trust, and regulatory considerations
</li></ul>Non-Technical &amp; Interpersonal Skills
<ul><li>Executive-level communication skills &mdash; able to operate fluidly between engineering stand-ups and boardroom strategy conversations.
</li><li>Excellent communication and stakeholder management skills &mdash; able to drive alignment across product, commercial, engineering, and domain-expert audiences
</li><li>Strong strategic thinking &mdash; able to connect present engineering decisions &amp; strategy to long-term commercial positioning of AI knowledge/data products.
</li><li>Strong analytical and structured problem-solving approach &mdash; breaks down complex extraction and knowledge-structuring problems into clear, actionable paths forward
</li><li>Emotional intelligence and people-first leadership style &mdash; able to inspire, coach, and hold a diverse team of engineers and scientists to a high bar; earns trust quickly across diverse stakeholder groups including customers, commercial, and technical teams.
</li><li>Business acumen &mdash; understands the fundamentals of financials services industry and/or software/data product business, and how product output quality &amp; timeliness directly affects customer trust and revenue.
</li></ul>Leadership &amp; Ownership
<ul><li>Proven track record of building, leading, and developing teams of engineers, data scientists, or technical specialists in an AI or data product context at scale.
</li><li>Demonstrable experience influencing product vision and feature strategy at the leadership level &mdash; shaping what gets built, not just how.
</li><li>Experience establishing organization-wide standards, frameworks, and practices that persist beyond individual initiatives.
</li><li>Proven ability to set technical direction, manage delivery, and drive accountability across a cross-functional team.
</li><li>Track record of mentoring individuals, running performance conversations, and contributing to hiring and team-building.
</li><li>Courage to push back on feature scope or timelines when extraction accuracy, reliability, or commercial viability &mdash; or team sustainability &mdash; are at risk
</li><li>Proven track record of owning complex AI delivery outcomes end-to-end, including post-launch validation and adoption.
</li><li>Hands-on experience with hiring, team design, performance management, and succession planning for technical AI teams.
</li><li>Ability to hold the bar on quality and delivery while advocating for the team &mdash; protecting focus, escalating constraints, and making hard prioritization calls
</li><li>A builder-of-builders mindset &mdash; measures success by the capability and culture left behind, not just the features shipped.
</li></ul>What This Role Offers
<ul><li>Direct leadership of a high performing team of AI agent engineers and data scientists working on commercially impactful AI systems &amp; knowledge product portfolio &mdash; with meaningful autonomy and ownership.
</li><li>Direct influence over organizational direction &mdash; working closely with executive leadership on product vision, hiring, and operating model decisions.
</li><li>A meaningful seat at the table in shaping product &amp; engineering strategy, feature prioritization, and delivery practices for commercialized AI capabilities
</li><li>A platform to build and lead a world-class organization of AI engineers, data scientists, and Product Leads &mdash; creating lasting capability in commercialized AI.
</li><li>Direct exposure to emerging AI capabilities &mdash; multi-agent orchestration, GenAI, Vision AI &mdash; applied to real commercial problems at scale.
</li></ul><ul><li>A clear path toward head-of-Engineering function leadership roles, with investment in mentorship, external learning, and executive development.
</li></ul>Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. 
 
Guidance on AI use for candidates 
 
At BlackRock, AI has long been part of how we work &ndash; enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we&rsquo;ve provided guidance( opens in new window) on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. 
 
 
About BlackRock 
 
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. 
 
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. 
 
To learn more about BlackRock, please visit Careers.BlackRock.com( opens in new window). We also encourage you to get to know us on LinkedIn( opens in new window), Instagram( opens in new window), YouTube( opens in new window), X( opens in new window), and TikTok( opens in new window). 
 
BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
</div><div>Job Requisition #
 
R264955</div></div>

AI Data Engineering Lead, Vice President

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