MultiVerse
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7 bn, the round makes us the UK's first EdTech unicorn. But we're not stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Portfolio Lead curates a world class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data literate strategist who isn't shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross organisational decisions on how to maintain and improve programme retention and quality as we scale. You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement. What You'll Do Portfolio Strategy Data Product Roadmap: Own the development and iteration of a subset of our Data product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required. Product Development, Launch & Iteration Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience Proactive Risk Mitigation: Identify and elevate risks across all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks. Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients Expert Credibility: Serve as the internal and external "voice" of the data practitioner, building trust with technical leaders and stakeholders at all levels What You'll Bring Data Domain Expertise: A strong background in data upskilling with an existing network of experts and sources you trust to help you stay at the cutting edge-you understand the difference between a data warehouse and a data lake, and you know which libraries or tools are currently (or soon to be) essential for the modern data stack in a range of customer types Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a Chief Data Officer on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively AI enabled practices: you are confident in building and using AI workflows to automate research, development and reporting tasks, and are excited about embracing AI to help you spend time on the tasks which most need your expertise Preferred Skills and Qualifications Relevant industry experience: work experience in a data aligned field such as Data Science, Analytics or Engineering Instructional Literacy: Experience with cohort based or online content creation, specifically within technical or professional training Regulatory Knowledge Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect - Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post money valuation of $1.7 bn, the round makes us the UK's first EdTech unicorn. But we're not stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Portfolio Lead curates a world class UK apprenticeship product set focused on Data upskilling. Working as one of two dedicated leads within our Data vertical, you are a data literate strategist who isn't shy about your passion for how data literacy, machine learning and advanced analytics are reshaping the workforce. You have a deep understanding of the data tooling market, both now and how it will continue to evolve. Practically, you will own the roadmap and key performance metrics for a set of products, proactively scoping new UK releases to grow bookings and influencing cross organisational decisions on how to maintain and improve programme retention and quality as we scale. You are the technical point of contact for GTM discovery, often supporting complex deal structures or tooling partnership meetings to maximise alignment between our data products and client needs. You also deeply understand what effective, high impact learning looks like in a technical data context and will support our Admissions, Delivery, Learning and Technology/Product teams to evolve their processes as we launch new products or improve our existing offerings. As we release synchronous and blended learning models, you will be vital in quality assuring our products and supporting other members of the Learning team (such as Senior Programme Designers and Technical Learning Designers) to make the right choices to maximise learner engagement. What You'll Do Portfolio Strategy Data Product Roadmap: Own the development and iteration of a subset of our Data product offerings by analysing data (both internal and external) to improve net new bookings, customer retention and learner retention Market Alignment: Validate our assumptions and competitor analysis in the market in partnership with Product Marketing, shaping how we communicate technical value and competitor positioning Horizon Scanning: Stay ahead of the curve on data and tooling trends to identify new skills development pain points and opportunities Investment Validation: Support GTM, Finance and our Delivery teams to scope custom data offerings, balancing market potential against the technical investment required. Product Development, Launch & Iteration Learning Squad Management and Prioritisation: work collaboratively with stakeholders across the business to create compliant apprenticeship curricula which meet learner and client needs. Use data and insights (qualitative and quantitative) to identify and prioritise opportunities for growth and improvement, including managing the backlog and prioritisation of improvements for wider Learning team members and teams external to Learning Organisational enablement and readiness: support partners in Delivery, Admissions and Product to assess and enable the readiness of our systems and people to deliver a high quality learning experience Proactive Risk Mitigation: Identify and elevate risks across all levels in the organisation, including C Suite, to ensure products remain on track to hit quality benchmarks. Agile Feedback Integration: Establish and lead rigorous feedback loops for your products. You won't just "collect" feedback; you will find effective ways to synthesise what you are hearing from different sources including our own internal delivery teams, learners and clients Expert Credibility: Serve as the internal and external "voice" of the data practitioner, building trust with technical leaders and stakeholders at all levels What You'll Bring Data Domain Expertise: A strong background in data upskilling with an existing network of experts and sources you trust to help you stay at the cutting edge-you understand the difference between a data warehouse and a data lake, and you know which libraries or tools are currently (or soon to be) essential for the modern data stack in a range of customer types Product or Curriculum Launch Experience: Proven experience working with a broad cross functional group of stakeholders to launch learning products and their ongoing improvements Confident Written and Oral Communication at all levels: You switch with ease from talking about the technical specifications of a new learning lab environment, to effectively raising a risk with the SLT on product performance, to convincing a Chief Data Officer on the ROI your products bring to his business metrics. You actively enjoy thinking about how to influence these different stakeholders Ability to distinguish between signal and noise: You know how to make stakeholders feel heard whilst holding the line on what is right to prioritise and why. You effectively balance the need to improve learner experience with the practical realities of working with constrained resources A strong vision for applied learning: you strongly believe in the power of apprenticeship and applied learning models to supercharge the acquisition of data skills and you bring vision and expertise both internally and externally to how to do this effectively AI enabled practices: you are confident in building and using AI workflows to automate research, development and reporting tasks, and are excited about embracing AI to help you spend time on the tasks which most need your expertise Preferred Skills and Qualifications Relevant industry experience: work experience in a data aligned field such as Data Science, Analytics or Engineering Instructional Literacy: Experience with cohort based or online content creation, specifically within technical or professional training Regulatory Knowledge Experience working within regulated structures (e.g., UK Apprenticeship Levy) is a significant plus. Benefits Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company wide wellbeing days (M Powered Weekend) and 8 bank holidays per year Health & Wellness - private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month Work from anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year Space to connect - Beyond the desk, we make time for weekly catch ups, seasonal celebrations, and have a kitchen that's always stocked! Our Commitment to Diversity, Equity and Inclusion We're an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children's Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.
Pigment
Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 500+ across Paris, London, New York, San Francisco, and Toronto, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. About the Role As a Solution Innovation Specialist focused on Product Innovation, you will be the SIC's primary liaison between Pigment's Product and Presales organisations. You will ensure that new platform capabilities are rapidly incorporated into demo assets, translate product releases into SC-ready collateral, and drive the adoption of new features across the presales motion. You will also build new use case models, support product launches, and help SCs and partners stay ahead of the Pigment roadmap. This role is based in the Paris or London offices. What You'll Do New Feature Adoption & Demo Library Maintenance Ensure that major new product capabilities are reflected in the demo library at the time of launch, coordinating with Product and Product Marketing to stay ahead of the roadmap. Build and update demo environments and models to incorporate new platform capabilities as they are released. Maintain the template library by adapting and extending existing models to incorporate new features and use cases. Product Launch Support Serve as the SIC's primary resource for product launch support, preparing initial demo assets, launch demo environments, and supporting materials. Deliver or support internal SC enablement and partner enablement sessions at the time of new feature releases. Contribute to capability webinars and product-focused events, delivering live demos that showcase new platform innovation. New Use Case Development Build new use case models from scratch, working from prospect and customer insights to develop collateral that addresses real planning challenges. Collaborate with SMEs across Product, Customer Success, and the SC team to ensure new use cases are grounded in customer reality. Develop supporting talk tracks and enablement content that allow SCs to confidently deliver new use case demos independently. AI-Powered Innovation Act as an AI-native practitioner, using LLMs (ChatGPT, Claude) alongside Pigment AI capabilities (Modeler Agent) to accelerate model development and create innovative demo experiences. Explore and prototype new ways of using AI to enhance the demo and PoV-building process, sharing learnings with the wider SIC team. Create AI-generated datasets and build advanced use case models that demonstrate Pigment's AI capabilities to prospects. SC Enablement & Model-Building Support Support SCs in understanding and effectively demonstrating new product capabilities, providing coaching and asset guidance. Contribute to the internal SC onboarding programme by building training content on new features and use cases. Assist in developing build-from-scratch sessions, modelling workshops, and Pigment Experience Workshop content as new use cases come to market. RFP & Administration Maintain and contribute to the RFP answer library, ensuring new product capabilities are accurately reflected. Support presales analytics and operational reporting as needed, using Pigment's own platform for internal insights. Who You Are Experience: 2-5 years of experience in the EPM space as a Solution Consultant, practitioner, or implementer, or 2+ years in an SC Ops or presales operations role. Model Builder: Comfortable building and adapting Pigment models, with a strong understanding of EPM concepts and planning use cases. Product-Minded: Naturally curious about product and technology; energized by new features and motivated to translate them into customer value. AI-Native: An AI-native professional who actively uses LLMs and AI tools to accelerate work and explore new possibilities. Demo Capability: Able to deliver well-structured, tailored demos with clear talk tracks for core and adjacent use cases. Organised: Highly organised, with the ability to manage multiple projects across product launches and use case builds simultaneously. Collaborative: A strong collaborator who works effectively with Product, PMM, and the SC team to align on priorities and deliver together. What We Offer Competitive package Stock options to ensure you have a stake in Pigment's growth Trust and flexible working hours Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London High-end equipment (based on stock/availability) to do your work in the best conditions Remote-friendly environment We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially. Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.
Join Pigment: The AI Platform Redefining Business Planning Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team-from Finance to HR-to build, adapt, and align strategic plans in real time. Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario. With a team of 500+ across Paris, London, New York, San Francisco, and Toronto, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software. At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo-all while working as one team. If you're driven by innovation and ready to make an impact at scale, we'd love to hear from you. About the Role As a Solution Innovation Specialist focused on Product Innovation, you will be the SIC's primary liaison between Pigment's Product and Presales organisations. You will ensure that new platform capabilities are rapidly incorporated into demo assets, translate product releases into SC-ready collateral, and drive the adoption of new features across the presales motion. You will also build new use case models, support product launches, and help SCs and partners stay ahead of the Pigment roadmap. This role is based in the Paris or London offices. What You'll Do New Feature Adoption & Demo Library Maintenance Ensure that major new product capabilities are reflected in the demo library at the time of launch, coordinating with Product and Product Marketing to stay ahead of the roadmap. Build and update demo environments and models to incorporate new platform capabilities as they are released. Maintain the template library by adapting and extending existing models to incorporate new features and use cases. Product Launch Support Serve as the SIC's primary resource for product launch support, preparing initial demo assets, launch demo environments, and supporting materials. Deliver or support internal SC enablement and partner enablement sessions at the time of new feature releases. Contribute to capability webinars and product-focused events, delivering live demos that showcase new platform innovation. New Use Case Development Build new use case models from scratch, working from prospect and customer insights to develop collateral that addresses real planning challenges. Collaborate with SMEs across Product, Customer Success, and the SC team to ensure new use cases are grounded in customer reality. Develop supporting talk tracks and enablement content that allow SCs to confidently deliver new use case demos independently. AI-Powered Innovation Act as an AI-native practitioner, using LLMs (ChatGPT, Claude) alongside Pigment AI capabilities (Modeler Agent) to accelerate model development and create innovative demo experiences. Explore and prototype new ways of using AI to enhance the demo and PoV-building process, sharing learnings with the wider SIC team. Create AI-generated datasets and build advanced use case models that demonstrate Pigment's AI capabilities to prospects. SC Enablement & Model-Building Support Support SCs in understanding and effectively demonstrating new product capabilities, providing coaching and asset guidance. Contribute to the internal SC onboarding programme by building training content on new features and use cases. Assist in developing build-from-scratch sessions, modelling workshops, and Pigment Experience Workshop content as new use cases come to market. RFP & Administration Maintain and contribute to the RFP answer library, ensuring new product capabilities are accurately reflected. Support presales analytics and operational reporting as needed, using Pigment's own platform for internal insights. Who You Are Experience: 2-5 years of experience in the EPM space as a Solution Consultant, practitioner, or implementer, or 2+ years in an SC Ops or presales operations role. Model Builder: Comfortable building and adapting Pigment models, with a strong understanding of EPM concepts and planning use cases. Product-Minded: Naturally curious about product and technology; energized by new features and motivated to translate them into customer value. AI-Native: An AI-native professional who actively uses LLMs and AI tools to accelerate work and explore new possibilities. Demo Capability: Able to deliver well-structured, tailored demos with clear talk tracks for core and adjacent use cases. Organised: Highly organised, with the ability to manage multiple projects across product launches and use case builds simultaneously. Collaborative: A strong collaborator who works effectively with Product, PMM, and the SC team to align on priorities and deliver together. What We Offer Competitive package Stock options to ensure you have a stake in Pigment's growth Trust and flexible working hours Along with one company offsite every year, we have brand new offices at the heart of major cities including New York, San Francisco, Toronto, Paris, and London High-end equipment (based on stock/availability) to do your work in the best conditions Remote-friendly environment We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially. Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.
