Dangote Industries Limited

We're looking for a Senior Product Analyst to join Wise's Competitive Intelligence (Comparison) mission: acquire new customers by demonstrating why Wise is the better choice. Comparison is one of the most effective ways to help customers understand the true cost of moving and managing money - by exposing hidden fees, making competitor pricing transparent, and helping people choose a fairer option. You'll work closely with a cross functional product team and partner with Growth, Pricing, Marketing, and Compliance to turn competitor intelligence into scalable products, always on claims, and measurable acquisition impact. Responsibilities Own the Competitive Intelligence analytical domain by building scalable price competitiveness tracking (Wise vs competitors, including promotional periods), and creating the frameworks and reporting that highlight situation based competitiveness and surface insights on where we can win (market selection, segment focus, product areas) Be a strategic partner on competitiveness: proactively translate pricing/competitor signals into clear, actionable insights tailored to the needs of Product, Growth, Pricing and Marketing, and influence prioritisation and follow through so the insights are adopted and drive measurable impact Contribute to, own, create and track OKRs for the Competitive Intelligence/Comparison mission, keeping teams accountable through clear targets, progress tracking, and decision ready reporting Own measurement & attribution for comparison led acquisition: define how we quantify incremental impact from comparison insights and claims across channels (Paid, CRM, SEO and beyond); partner with stakeholders to align on success metrics and controls; report performance clearly to senior audiences Optimise user facing comparison tools across the Wise product suite: deepen understanding of conversion drivers, including "non cheapest path" users; improve performance via robust analysis, segmentation, and experimentation (A/B tests, holdouts, quasi experimental approaches where needed) Own optimisation data products and pipelines: identify what data and modeling needs to be collected and automated to build scalable comparison intelligence (including dbt models, metric layers, monitoring, and reliability frameworks) Qualifications You have a background working in product analytics (pricing knowledge is a plus) End to end analytical ownership: you can frame ambiguous problems (e.g., "where do comparisons drive the most value?" / "how do we win non cheapest path users?"), define success metrics, and drive prioritisation from insight to recommendations and measurement plan Strong SQL and analytics engineering fundamentals: you have advanced SQL skills and are comfortable building scalable datasets and definitions (e.g., dbt models, metric layers). You care about data quality, pipeline reliability, and building self serve reporting rather than one off analyses Influential communication & stakeholder partnering: you can work effectively with cross functional partners (Product, Growth/SEO, Pricing, Engineering, Compliance, Marketing and Regional), communicate clearly, and use data to support decisions and trade offs Experimentation & analytical judgement: you have experience running experiments (A/B tests or similar) and applying sound judgement in messy, real world data environments Data visualisation & storytelling: you have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and can communicate insights in a clear, actionable way

About Marshmallow We exist to make migration easy. A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions. Those who constantly challenge the why, dismantle assumptions, and always take action to build a better way. A Marshmallow career is built on a cycle of continuous growth, with learning at its core. You will be challenged to raise the bar on your capabilities and supported with the right tools and guidance to do so. This ensures you can deliver impactful work and drive change. If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. Move our mission, and your career, forward. Car Finance Partnerships at Marshmallow Our Partnerships team sits within the Car Finance organisation and plays a key role in building and growing our dealer and broker network. This team owns the partner lifecycle from acquisition and onboarding through to the early stages of partner success, helping new partners get set up smoothly and start seeing value from working with Marshmallow. Partnerships is a critical growth function for the business and we are looking for someone who is excited by building new relationships, working at pace, and helping bring high-quality partners onto the platform in a fast-moving environment. What you'll be doing Own partner acquisition activity by identifying, reaching out to and engaging prospective dealers and brokers who are a strong fit for Marshmallow Run the sales journey end-to-end from initial outreach through to pitch conversations and successful sign-up Manage partner onboarding by progressing new partners through internal processes and helping them get to first payout as smoothly as possible Work closely with cross-functional teams including compliance, credit risk and legal to keep onboarding moving and remove blockers Maintain a high-volume, high-quality pipeline while balancing speed, attention to detail and partner experience Adapt with the business as processes, priorities and team needs evolve in a startup environment Who You Are You're proactive and resilient, and you enjoy the energy that comes with outbound business development and building momentum from scratch You communicate clearly and naturally, and can explain new concepts in a way that builds trust with a broad range of partners You're comfortable with ambiguity and motivated by working in an environment where things move quickly and change over time You're driven by impact and growth, and excited by the opportunity to help scale a new commercial function within the business What You'll Bring Around 2-3 years of career experience is likely to be a strong fit for the level and pace of this role Experience in a business development, sales or partner-facing role with clear exposure to outbound prospecting and managing a pipeline Confidence making high volumes of outbound calls, with the ability to consistently generate conversations and opportunities through phone-based outreach Experience owning or supporting onboarding journeys and coordinating stakeholders to move prospects through to go-live Previous experience in a tech scale-up or other fast-paced environment is preferred; automotive or motor finance experience is helpful but not essential We are not in a position to offer visa sponsorship for this role. Perks of the job Flexible working: Spend three days a week with your team in our collaborative London office. Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less Plus all the rest; 25 days holiday, pension, cycle to work scheme, monthly team socials and company-wide socials every month! Our process Initial call with a member from our Talent Team (30 mins) Past Experience interview with Hiring Manager (60 mins) Case study interview with a couple of the team (60 mins) Culture interview (60 mins) Background checks As part of our commitment to maintaining a safe and trustworthy environment, we'll carry out standard background checks, including a DBS and a Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this! Everyone belongs at Marshmallow At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong. Recruitment privacy policy We take privacy seriously here at Marshmallow. Our Recruitment privacy notice explains how we process and handle your personal data. To find out more please view here.

Dangote Industries Limited in Greater London is seeking a Data Engineer in the KYC & Onboarding area to develop data infrastructure that supports financial crime prevention during customer onboarding. You will work closely with product and risk teams to ensure data-driven insights are effectively utilized. This role involves managing data engineering pipelines, creating core datasets, and advocating for modern analytical tools to improve efficiency and trust in analytics.

Job Description As a Data Engineer in our KYC & Onboarding area, you will own and build the data infrastructure, analytics pipelines and modelling frameworks that detect, prevent and monitor financial crime through customer onboarding. You'll partner closely with product, compliance, analytics, and operations teams to drive data led insights and proactive controls that enable safe growth. Key Responsibilities Lead data engineering pipeline related to the onboarding / KYC / FinCrime domain; establish best practices around data modelling, testing, monitoring, and deployment. Define and own the analytics infrastructure roadmap for the Global KYC & Onboarding squad, from data source ingestion through to analytics delivery and dashboard creation. Build and maintain core datasets focused on KYC onboarding events, customer risk scores, alert triggers, and case outcomes. Evangelise and lead adoption of modern tooling (e.g., dbt, Airflow, Snowflake, Python, Looker/Superset) to improve reliability, speed, and trust in analytics. Drive implementation of best practices in data pipeline instrumentation, monitoring, error handling, and data quality in a high stakes regulatory environment. Together with the Analytics and Product team, translate complex data into clear, actionable narratives for key stakeholders - enabling informed decision making around customer acceptance or decline, risk tiering, and remediation prioritization. Partner with cross functional teams (compliance, risk, product, operations) to identify new data sources, define tagging strategies, design KPIs (e.g., average time to onboard, false positive rate), and deliver measurable business impact. Benefits RSUs in a growing company An annual self development budget Statutory maternity leave, plus 18 fully paid weeks of parental leave for birth or adoption Paternity leave for 18 weeks at full pay Three fully paid "me days" per year to help you manage life Relocation and visa expenses covered A paid 6 week sabbatical leave after four years

Dangote Industries Limited is seeking a Senior Client Partner to join their Large Customer Sales team in London. The role involves forming relationships with key brands and agencies while utilizing Reddit's advertising suite to meet business objectives. Qualified candidates should have substantial experience in digital media sales, specifically in managing enterprise partnerships, and must demonstrate strong strategic planning and consultative selling skills.

Dangote Industries Limited is seeking a Platform Engineer to develop and operate a scalable, reliable, and secure internal cloud-based database platform. The role involves automation, tooling, and security for hundreds of databases globally. The position requires over 2 years of experience in Platform Engineering and expertise in cloud infrastructure. The salary is between £68,000 - £87,500, plus benefits.

We're looking for an experienced seller to join our Large Customer Sales team. As a Senior Client Partner, you will be responsible for forming relationships with key brands and agencies while ensuring they meet their business objectives using Reddit's advertising suite. This role is required to be based out of London. Responsibilities Proactively manage and deepen relationships with existing advertising partners, both with agencies and directly with clients to drive year-over-year revenue growth Proactively construct upfront and joint business plans with top clients Establish mutually beneficial relationships with new clients, educating them on Reddit and the Reddit ads platform Leverage agency and client direct relationships to identify new buyers of Reddit advertising products Leverage data from internal and external sources to inform client strategies and pitch proposals Consistently meet deadlines for all projects, ensuring that clients receive the highest level of customer service Act as an internal lead by actively volunteering in team meetings and Reddit special projects Own client meetings from agenda to final presentation, instilling confidence and setting all interactions up for success by appropriately setting client expectations, identifying outcomes, and communicating clear next steps Act as the primary point of contact for clients to communicate major platform updates, releases, changes, and/or opportunities that will deepen or expand the relationship Provide strategic, proactive, and consultative advice to clients in order to uplevel and grow the relationship Persistently explore and uncover the needs of your clients, leveraging deep product knowledge to align their goals with new and unique opportunities on the platform Collaborate with Account Management and Ad Operations to meet and exceed clients' marketing goals Shape Reddit's ads product roadmap by aggregating and sharing client feedback and campaign metrics with cross-functional stakeholders Provide thought leadership and act as a Reddit evangelist with partners and at industry events Share your industry, client, and product expertise by mentoring and training other team members Collaborate closely with other Client Partners and Account Managers to craft a cohesive strategy across shared accounts Build and leverage deep internal relationships, both within your direct team and cross-functionally, working together to deliver on client and business goals Required Qualifications 8-12 years of experience in digital media with at least 3-7 years of experience in sales Experience owning partnerships with complex enterprise organizations Proven experience managing relationships up through C-level executives Deep ads industry expertise within relevant verticals, product types, and/or measurement solutions Deep existing relationships within the agency and client direct space Subject matter expertise in the social media landscape and native advertising Experience building and executing long-term account growth strategies Demonstrated top-performer achievement against sales targets Ability to lead special projects BA / BS degree or equivalent work experience Benefits Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave

Dangote Industries Limited is looking for a Data Science Lead to join our Contact Automation team in London. This role focuses on building an automated 'Wise Assistant' system, directly impacting customer experience. As a Data Science Lead, you will design evaluation frameworks, conduct A/B testing, and collaborate with cross-functional teams to refine the system's behavior. A strong product mindset and skills in statistics, programming, and data visualization are essential for driving results.

Dangote Industries Limited is looking for a Senior Platform Engineer to join the Database Platform team in Greater London. This role involves building and operating a scalable, reliable, and secure cloud-based database platform, primarily focused on YugabyteDB. You'll work closely with cross-functional teams to implement automation and security controls, ensuring the availability and reliability of the systems. The ideal candidate should have significant platform engineering experience and expertise in cloud infrastructure. You'll enjoy a competitive salary of £87,500 - £111,000 plus RSUs.

Dangote Industries Limited is looking for a skilled engineer with over 5 years of experience in mobile or infrastructure engineering to enhance client networking systems at Spotify. This role prioritizes C++ expertise and involves collaborative decision-making on technical direction within a focused small team. The successful candidate will work on evolving core systems, improving integration layers, and designing observability solutions, ensuring seamless connectivity for millions of users.

About the role We are looking for a Senior Software Engineer to join our Reliability Engineering team at Wise. You will work cross functionally with software engineering teams across the business, identifying and implementing reliability improvements to our most important business services. Our team's mission: Enhance the reliability, performance, and compliance of Wise products for customers. Bridge the gap between Product and Platform through collaboration, hands on contribution, and co ordinating org wide efforts. How we work We operate on a strong belief in automation and reusable design. We're looking for people who can step back and think holistically about the ecosystem, design scalable solutions, and follow through on implementation, drawing on the resources across the rest of the Platform tribe. As Wise scales, the reliability expectations for our products continue to increase. To sustain the growth, we must continuously iterate on the services we run, with a focus on availability and customer experience. We're looking for an engineer with relevant expertise who can analyse complex requirements and deliver simple solutions to help product teams achieve our mission with speed and confidence. Responsibilities Identify opportunities to optimise the performance of our critical backend microservices, by implementing and improving the common libraries used by teams across Wise. Develop and implement org wide, resilient strategies in code, to address challenges in capacity, autoscaling, resiliency, performance and redundancy. Deep diving with teams into their services, suggest best practices, and implement changes to improve reliability. Qualifications We are fully aware that it is uncommon for a candidate to have all skills required and we fully support everyone in learning new skills with us. So if you have some of those listed below and are eager to learn more we do want to hear from you! A product engineering background, and are looking to have a big impact. Strong collaboration skills, an ability to jump into projects with limited context and be enthusiastic about influencing how teams prioritise reliability. Strong experience working with microservices in a Kubernetes, cloud based architecture. Hands on Software Engineering experience (Java or other backend languages) - you will be contributing to the Wise product and applying reliability best practices (development, resiliency patterns, observability). Hands on experience with troubleshooting application, database, data related issues. Strong prioritisation skills and effective time management. What do we offer Starting salary: £85,000 - £105,000 + RSUs Wise Benefits Additional Information We believe teams are strongest when they are diverse, equitable and inclusive.

Job Description About the team Wise Business is launching an online payments solution for ecommerce sellers that lets online sellers receive card and wallet payments in 17+ currencies directly into their Wise Business account. No forced conversions, competitive pricing, and a genuine alternative to the incumbents for merchants who sell internationally. This is a new solution, and you'll be the first dedicated sales hire for it. The product is live, there's an existing waitlist of interested businesses, and the early signs are strong - but there's no established sales motion yet. You'll work closely with the product team to figure out what works, build the pipeline from scratch, and feed your learnings directly back into the product and go-to-market strategy. What you'll do This is a first-hire role. As an Account Executive you'll combine hands on selling with strategic input into how Wise takes this product to market. You need to be comfortable operating with very little structure and building it as you go. Responsibilities Own the full sales cycle for the ecommerce proposition - from prospecting and outreach through to sign up, onboarding, and first live transaction Work the existing waitlist of businesses who have expressed interest, qualifying and converting them into active customers Build and manage your own pipeline in Salesforce, with accurate qualification, staging, and forecasting Run discovery calls with ecommerce merchants to understand their payment flows, platform setup, currency needs, and pain points with current providers Partner directly with the product team to shape the go to market plan - you'll have a seat at the table Feed structured learnings back to Product and Engineering: what's resonating, what's blocking deals, where the product gaps are, and which verticals show the most traction Identify and test outbound approaches to high potential verticals (retail, trade, consulting) beyond the existing waitlist Help define the ICP, sales process, objection handling, and competitive positioning as the foundation for scaling the team Qualifications 3+ years of B2B sales experience, with a meaningful portion in ecommerce, payments, or a related fintech vertical Familiarity with WooCommerce, Shopify, or other ecommerce platforms from a payments integration perspective Good understanding of the ecommerce payments landscape - how gateways work, what merchants care about, and who the key players are (Stripe, Adyen, PayPal, etc.) Comfortable working in ambiguity - you've operated in an early stage or zero to one environment before and know how to build structure where none exists Experience working cross functionally with product teams to shape roadmap and GTM strategy Experience with outbound prospecting and pipeline generation, not just inbound led selling You're energized by building something new, not maintaining something established

Dangote Industries Limited is seeking a leader for the Core Infrastructure studio at Spotify, driving performance optimization across services. In this role, you'll lead a team of engineers, set strategic priorities, and collaborate with cross-functional stakeholders to enhance system performance and reliability. The ideal candidate has strong leadership experience in engineering and is comfortable working with large-scale systems and cloud infrastructure. This role offers flexibility to work from home while fostering a collaborative team environment.

Job Description We are looking for an analytical and curious Senior Marketing Data Analyst to join our Marketing Science team. Our mission is to fuel sustainable growth by measuring marketing effectiveness - building a unified measurement framework based on experimentation, Marketing Mix Models and tracked attribution. Your Mission In this role, you will help us build our best representation of marketing effectiveness by enhancing and maintaining our attribution model. You will partner with our Lead Analyst to own the code and define our attribution logic while partnering with marketing teams to ensure every £ is spent efficiently. Key Responsibilities Maintain and enhance our attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves. Ensure the accuracy of marketing data integrity in our attribution model. Work with the Data Science, Acquisition and marketing teams to evolve our model. Build dashboards that allow marketing stakeholders to self-serve daily performance metrics. Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders. Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions. You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps. You will contribute defining impactful OKRs to work throughout the half of the year. Qualifications Bachelor's degree in Statistics, Economics, or other relevant fields. 2+ years of experience in a marketing analytics or data analytics role. Advanced SQL skills, Python/R and dbt are advantageous. You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights. Experience working with attribution models/MMP data is advantageous. Experience with data visualisation tools (example, Looker, Power BI, LightDash). Understanding of performance marketing is advantageous. Benefits Base salary of £60,000 - £75,000 (based on experience) RSU's in a growing and public company Work from (almost) anywhere in the world for up to 90 days a year Flexible working - you're trusted to do the right thing and be responsible Private Medical Insurance + Life Insurance Discounted gym memberships and cycle to work scheme A paid 6-week sabbatical leave after four years 26 weeks maternity leave at full pay An annual self-development budget Annual Mission Days festival Pet friendly offices Lots of fun group activities like yoga, running and boardgame nights

Job Description The Recurring Payin team owns the Direct Debit API that powers automated payments into Wise. Underneath this, we are building a platform that allows customers to easily schedule top-ups or business collections. The platform is built on top of our internal Payin Platform rails, a critical component of the Wise money movement machine, and we're looking for an engineer motivated to help us build for this. We primarily offer APIs for any partner looking to set up automated funding or pre authorisations, from setting up GBP balance top ups automatically to allowing business partners to collect EUR bills monthly without having the customer go through the flow each time. We aim to allow customers to give a one time permission (pre authorization) for Wise to pull money across any payment method, a USD bank account or a EUR issued bank card - you name it. Job Responsibilities Design, develop, test, and maintain backend services written in Java and Kotlin using the Spring Boot framework, deployed on cloud infrastructure (AWS) Build and maintain RESTful APIs that serve millions of customers across web and mobile platforms Develop and optimise services powering the card pay in payment method, one of the most popular payment methods, enabling Wise customers to move around £1 billion every month Design and implement database schemas, write and optimise SQL queries against PostgreSQL databases handling high volume transactional data Build and maintain event driven architectures using Apache Kafka for asynchronous processing of financial events across distributed services Develop and maintain a payment orchestration system that dynamically routes payments across Payment Service Providers to optimise for cost and reliability Write automated tests (unit, integration, and end to end) to ensure correctness and reliability of financial systems Conduct code reviews for team members, ensuring code quality, security, and adherence to engineering standards Participate in on call rotations to monitor and respond to production incidents for Tier 2 critical services Collaborate with product managers, designers, analysts, and engineers across other teams to deliver cross functional projects Identify and resolve performance bottlenecks, scalability issues, and technical debt in existing systems Ensure development follows security best practices, particularly around handling of sensitive financial data and compliance with financial regulations Qualifications Great communication skills and the ability to articulate complex, technical concepts to non technical audiences Ability to work independently while also being a good team player; your work will frequently involve cross team collaboration Ability to break down complex projects into incremental milestones that deliver customer value Experience in developing web applications and distributed systems in a production environment Experience with common design and architectural patterns coupled with a passion for writing clean code that is performant and well tested Curiosity and drive for continuous learning and improvement Following and advocating best coding practices, continuous delivery and code reviews Experience working with relational and non relational databases, query optimisation and designing schemas is a plus Knowledge of Java and Spring Boot and experience with a messaging system, like Kafka, is a plus What does success look like? You'll have onboarded and found your place through understanding your team and tribe vision and how you can contribute You'll understand how our values can help you guide your work You'll understand the reasons behind problematic payments and customer difficulties and how to go about solving them You'll be raising the automation level to enable scaling of the product You'll understand our customers and the impact our product makes in their lives You'll help us scale up and build a world class global banking product by finding solutions to our technical challenges and opportunities What do we offer? Starting salary: - 87500 GBP + RSUs Wise Benefits We believe teams are strongest when they are diverse, equitable and inclusive. We're proud to have a truly international team, and we celebrate our differences.

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to push the boundaries of legal technology. You'll be collaborating closely with data scientists, software engineers, and product managers to integrate advanced NLP techniques into our products. What You'll Do Innovative NLP Research: Research, evaluate, and implement state-of-the-art NLP methodologies and large language model approaches to drive product innovation and develop new functionalities. LLM Agents & Multi-Agent Systems: Design, develop, and deploy LLM agents and multi-agent systems to automate complex legal workflows and enhance user experiences. Advanced Technology Integration: Collaborate on projects that leverage emerging technologies - such as Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies (e.g., Docker, Kubernetes). Collaboration & Communication: Strong collaboration and communication skills to work effectively with cross-functional teams and articulate technical concepts to non-technical stakeholders. Proactivity & Continuous Improvement: Proactive in identifying problems, performance bottlenecks, and areas for improvement while taking pride in building and operating scalable, reliable, and secure systems. LLM Agents & Multi-Agent Systems: Proven experience in designing, deploying, and scaling large language model (LLM) agents and multi-agent systems to enhance NLP capabilities and automate complex workflows. Nice to have Experience with knowledge graphs like Neo4j Experience in optimising graph database performance and ensuring the scalability of graph-based solutions. Experience with LangGraph for Agentic Systems Most importantly, if you're someone with a can-do attitude who is willing to get their hands dirty to help us exceed our wildest expectations, then please do not hesitate to apply. What we offer Competitive Salary: We offer a highly competitive salary that reflects your skills, experience, and contributions. Impact & Growth: Join a fast-growing startup where your ideas matter; experiment, innovate, and see your work come to life. High-Performance Culture: Work in a truly meritocratic environment alongside ambitious, driven professionals who push each other to excel. Prestigious Partnerships: Collaborate with some of the world's top law firms, financial institutions, and multinational corporations. Prime London Location & Hybrid Flexibility: Enjoy a vibrant office in the heart of Aldgate with the option to work in a hybrid environment. We tend to come into the office 2-3 times a week, although you can come in more! Ongoing Learning & Development: Access top-tier training, mentorship, and continuous support to advance your career. Time Off: Enjoy 25 days of holiday per year, plus UK bank holidays, to recharge and unwind. Pension Plan: Secure your future with our competitive pension scheme. Private Healthcare: Access to Vitality healthcare, including dental and optical. Flexible Working: Work in a way that suits your lifestyle, with the freedom to balance professional and personal priorities. Enhanced Parental Leave: We support working parents with generous parental leave policies that go far beyond statutory requirements. Cycle to Work Scheme: Save on a new bike and accessories while promoting a healthier, more sustainable commute. Workplace Nursery Scheme: Saving working parents lots of money through our salary sacrifice scheme! Top-Quality Equipment: Get the tools you need to perform at your best, from cutting-edge tech to ergonomic office setups. About Definely Named in the top 25 of the prestigious Deloitte UK Technology Fast50 in 2023, as well as the EMEA Technology Fast 500, Definely is a fast-growing, venture-backed company transforming the $900bn global legal services market. Our customers include some of the world's top law firms, financial institutions, and multinational corporations such as Allen & Overy, Dentons, and Deloitte. We are backed by prominent investors and VCs, including Octopus Ventures, Raine Ventures, Microsoft, Google for Startups, and Nick Jenkins (founder of Moonpig and former Dragon). Data Privacy Notice By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ('Definely') may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application. Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time. For more details on how we handle your personal data and your rights, please send us an email to and we will send your privacy policy. If you have any concerns about how your data is being processed, please do not hesitate to contact us.

Location London Employment Type Full time Location Type Hybrid Department Technology About the role We're looking for a high calibre Staff Software Engineer to help shape how we build and scale our products at Definely. We're looking for someone who is highly product minded, intellectually curious, and motivated by solving meaningful user problems. In this role, you'll operate across the stack, shaping both the user experience and the underlying systems, while helping define how we design, build, and scale our platform. You'll work closely with product, design, and engineering leadership to shape both what we build and how we build it. As a Staff Engineer, you'll drive technical and product decisions, raise the bar for quality, and play a key role in evolving our architecture as we scale. What you'll do Lead the development of product features end-to end, from problem shaping with product and design through to backend implementation, frontend delivery, and iteration Design and build scalable, reliable systems that power AI driven features and workflows Translate complex AI capabilities into intuitive, performant, and trustworthy product experiences Work across the stack using TypeScript and Python, contributing to both user facing applications and backend systems Drive improvements in performance, reliability, and overall product quality across the stack Contribute to technical strategy and architectural decisions across the engineering team Collaborate closely with design to deliver high quality user experiences, while ensuring strong underlying system design Raise the bar for engineering standards, including code quality, testing, and observability Mentor and support other engineers, helping to elevate technical capability across the team What you'll bring: Significant experience building and scaling complex, user facing products across the stack Strong experience with modern frontend development (React, TypeScript) and solid backend experience (e.g. Python or similar) Ability to design and reason about distributed systems, APIs, and data flows Strong product mindset, you think in terms of user problems and outcomes, not just implementation Experience working closely with product and design to shape solutions, not just deliver them Ability to take ownership of ambiguous problems and drive them through to impact Experience contributing to or leading architectural decisions across systems Strong communication skills and ability to influence across teams We'll be lucky if you: Have led or significantly shaped architecture in a scaling product Have experience building AI powered or data heavy user experiences Enjoy working in product driven, fast paced environments Care deeply about usability, performance, and craft in development Have experience mentoring or acting as a technical leader across teams What we can offer you: Competitive salary & annual bonus based on performance Equity in Definely Quarterly team socials + holiday parties Hybrid working + 1 month "work from anywhere" 25 days holiday + bank holidays Take your birthday off £750 annual learning & development budget Private healthcare (incl. dental & optical) Enhanced parental leave + Workplace Nursery salary sacrifice scheme Additional perks: Cycle to Work Top quality equipment About Definely At Definely, we're building the Review layer for legal work in the age of AI. As AI transforms how contracts are drafted, the challenge is no longer just generation, it's verification. Lawyers remain accountable for what goes out the door, but the volume and complexity of AI generated work is pushing traditional review to its limits. Definely gives lawyers a structured way to understand and verify complex agreements, modelling contracts as systems of definitions, cross references, and dependencies, surfacing hidden risks and making review more rigorous and defensible. Trusted by leading law firms and global enterprises, including A&O Shearman, Slaughter and May, BP, and Barclays, we integrate directly into the tools lawyers already use. We recently raised our Series B and are backed by Microsoft, Google, and Octopus Ventures. This is a rare opportunity to shape a new category at the moment it becomes essential. Data Privacy Notice By submitting your application, you agree that DEFEYENE LEGAL SOLUTIONS LIMITED ('Definely') may collect, process, and store your personal data as part of our recruitment process. We will use the information you provide to assess your qualifications for the role you are applying for and to communicate with you regarding your application.Your personal data will be stored for up to 12 months, after which it will be securely deleted unless we have another lawful basis to retain it. You have the right to access, correct, or request the deletion of your data at any time. For more details on how we handle your personal data and your rights, please send us an email to and we will send your our privacy policy. If you have any concerns about how your data is being processed, please do not hesitate to contact us.

We're looking for a Data Science Lead to join our Contact Automation team in London. This role is a unique opportunity to work on the intelligence system at the core of our contact automation system. Your work will make our system aware of the different problems our customers encounter and eventually develop the ability to help customers resolve these issues. What you build will have a direct impact on Wise's mission and millions of our customers. About the Role In the Support squad we are aiming to create a system that can power an automated "Wise Assistant" system that can answer most customer questions within the chat interface effectively, as well as support our agents in answering more complex questions. To achieve our targets we need to have applied this system effectively at scale, across the large majority of our contacts working seamlessly within the chat interface. Moving money should not be difficult. As a Data Science Lead in contact automation, your work will have a direct impact on customers - helping millions of people send and receive money across borders. Evaluation & Experimentation (Core Focus) Own the design and evolution of evaluation frameworks for LLM-based systems (both offline and online) Build and scale A/B testing to measure real customer impact and guide product decisions Define meaningful metrics that connect system performance to customer outcomes and business impact System Performance & Reliability Identify failure modes across the assistant (reasoning, retrieval, tool use, tone, etc.) and drive improvements Work closely with engineers to iterate on agentic workflows. Continuously improve system behaviour through prompt design, evaluation insights, and data-driven iteration Ensure the system performs reliably across multiple languages and geographies Opportunity Identification Analyse conversation data to uncover new opportunities for improving the customer experience. Proactively shape what we should build next. Bring clarity to ambiguous problem spaces and turn them into actionable changes to the system Cross-functional Collaboration Work daily with Product, Engineering, and Content/Design to shape the assistant's behaviour Influence decisions about the product through clear communication, data visualisations, and well-structured impactful proposals. Ensure the system is not only accurate, but intuitive and trustworthy from a customer perspective. How You'll Work You will operate with a high degree of autonomy in a fast-moving environment (often working on 1-2 week iteration cycles) in close collaboration with engineering, content and product. Use feedback loops-both human and system-generated-to continuously improve performance Take ownership beyond your immediate scope when needed to move the project forward Qualifications Strong sense of ownership; you drive work from idea to production and are motivated by building real systems used by customers. Good communicator, you are able to present ideas and foster discussion with both technical and non-technical audiences Strong grounding in statistics, with the ability to design, run and own A/B testing and experimentation end-to-end. Strong understanding of how to evaluate models (classification, regression, or LLMs) and why metrics matter and a proven ability to connect model/system performance to business outcomes. A strong product mindset and ability to work collaboratively in a cross-functional environment. Experience writing production code in at least one of Python, TypeScript or Java. Familiarity with modern LLM/agentic architectures (e.g. Mastra, LangGraph or similar frameworks) Strong data skills (SQL, Snowflake, data visualisation). Some extra skills that are great (but not essential): Experience with a customer facing agentic system. Experience with Bayesian inference, especially with A/B testing.

Dangote Industries Limited is expanding its Wise Assets product offering and seeks a candidate to define and shape this innovative financial product. The role emphasizes a strong product mindset, user experience, and cross-team collaboration. Ideal candidates should possess a mix of technical skills, communication proficiency, and a willingness to learn. The position offers a competitive starting salary range of £105,000 - £130,000 plus RSUs, aligning with a hybrid working model to foster collaboration and innovation.

Dangote Industries Limited in the Greater London area is looking for a motivated engineer to join our Recurring Payin team. You will design and maintain backend services that power automated payments into Wise, enhancing our Direct Debit API capabilities. This role involves building and maintaining RESTful APIs, optimizing services that handle significant financial transactions, and ensuring high availability and security standards in our architectures. We offer a competitive salary and benefits.