
Tripadvisor · London
About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people po...
About Tripadvisor
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is
our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively
revolutionize travel and together find the good out there.
Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business,
Viator, is a fast-evolving and highly data-driven part of the organisation.
At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making,
and drive measurable business impact.
About the Role
The Analytics & ML Marketing team is looking for an AI Analytics Specialist who is, at their core, a data analyst — and who is
genuinely obsessed with how AI can change the way companies work with data. Not someone who has read about it, but someone who has
been building with it, has opinions on it, and is energized by the idea of applying it at scale inside a real organization.
This role sits at the crossroads of analytical craft, AI fluency, and organizational change. You will not be expected to build
every piece of the puzzle alone — but you will be the person who understands how the pieces fit, defines what needs to exist,
drives it forward with engineers and data teams, and makes sure the whole organization can actually use it. You will diagnose real
pain points, shape the right solutions, and bring both technical and non-technical colleagues along for the transformation.
What You'll do
Understand where data access is slow, where workflows are overcomplicated, and where decisions get made without the right
information — then define and drive solutions that fix those problems at the root, not the surface.
summaries, smart alerting — so that any marketing colleague can interrogate data directly, without writing SQL or raising a
ticket.
named, and structured in a way that makes self-service reliable and AI tools trustworthy. You will not build it alone — but you
will own the vision and drive the standards.
anomalies, and trigger proactive insight — would unlock the most value, and work with the right teams to bring them to life.
reviews — and push to replace manual effort with automated, AI-assisted pipelines through prompt engineering and workflow
design.
organization works with data — making AI tools and self-service analytics accessible to everyone, not just analysts.
Skills & Experience
and have clear views on where it creates real value versus noise
solving something and patching it
you move fluently between both worlds
to code
degree preferred. Equivalent practical experience considered.
Required
real problems
Nice to Have
What Makes This Role Different
Traditional analytics roles are built around depth — owning a domain, producing analysis, answering questions well. This role is
built around breadth and leverage: how do you make the whole organization better at using data, not just the analytics team?
AI Analytics Specialist
Traditional analytics
What We Offer
bonuses
across a worldwide team, with the option to join on-site as often as you’d like or as required by your team.
Traveler first
We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their
collective behaviors and insights are what drives us.
Execution is our edge
We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business.
Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish
what can be done today, knowing tomorrow will bring fresh challenges.
We succeed together
The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate
relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a
clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort,
our learnings, and our collective achievements.
We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the
application or the recruiting process, please make sure to reach out to your individual recruiter or our team at
AccessibleRecruiting@tripadvisor.com.
If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the
answers!
#LI-Hybrid
THE ROLE We are seeking a Product Manager to lead the design, development, and delivery of technology products that support NextEnergy Group’s asset management and investment management functions. This role sits within Technology & Digital Services (TDS) and acts as a key bridge between business stakeholders and the engineering, data, and delivery teams responsible for building the tools they rely on. You will be responsible for understanding how the business manages its renewable energy asset portfolio and how investment performance is tracked, reported, and interrogated — and translating those needs into well-scoped, well-delivered technology products. You will own the roadmap, drive delivery, and ensure that what gets built creates genuine business value. We are looking for a technology product professional who brings sufficient commercial and sector awareness to engage credibly with asset management and investment management stakeholders, ask the right questions, and make sound product decisions. You do not need to be a domain expert, but you do need to understand how the business works and what drives value. KEY RESPONSIBILITIES Product Strategy & Roadmap * Define and own the product roadmap for technology solutions serving asset management and investment management stakeholders, grounded in a clear understanding of business priorities and user needs. * Maintain a transparent, evidence-based roadmap that balances business outcomes, technical constraints, risk, and delivery capacity. * Lead build vs. buy assessments for asset monitoring, performance analytics, and investment reporting tooling, bringing a clear point of view on where to invest and why. * Ensure the products you own contribute measurably to NextEnergy Group’s strategic goal of becoming a data-driven, technology-led business. Stakeholder Engagement & Requirements * Work closely with asset management and investment management teams to understand their workflows, commercial priorities, and pain points — translating these into clear product requirements that engineering teams can act on. * Bring sufficient knowledge of the renewable energy sector to hold informed conversations about asset performance, monitoring, and reporting requirements without needing extensive domain education from stakeholders. * Understand the commercial and financial context in which the business operates — including how assets generate returns and how performance is measured and reported to investors — so that product decisions are grounded in business value. * Run discovery, user research, and stakeholder workshops to surface and validate requirements before committing to build. * Manage stakeholder expectations proactively, providing regular updates on progress, trade-offs, and delivery timelines. Product Delivery * Translate strategy into product epics and user stories with clear acceptance criteria, and manage the product backlog in Azure DevOps. * Lead agile ceremonies with cross-functional squads and coordinate with the PMO on dependencies, timelines, and communications. * Drive delivery to time and quality, escalating risks and blockers early and resolving them decisively. * Oversee handover, user enablement, and adoption of new products and system enhancements. AI & Analytics * Identify opportunities to embed AI and analytics capabilities into asset management and investment management products — including performance reporting, automated workflows, and data-driven decision support. * Partner with data and AI teams to define requirements and ensure responsible use of operational and financial data. Risk, Governance & Compliance * Partner with compliance, security, and data governance colleagues to ensure products adhere to policy, maintain appropriate audit trails, and meet regulatory obligations. * Monitor and mitigate product-related risks throughout the product lifecycle. * Stay current on relevant regulatory developments in the energy sector and ensure these are reflected in product planning where necessary. Vendor & Partner Management * Evaluate and manage third-party technology vendors and delivery partners across the asset monitoring and investment analytics space. * Run structured vendor assessments, support commercial negotiations, and hold partners accountable to contractual commitments. * Run steering forums with decision-ready materials suitable for both operational and investment management audiences. SKILLS & COMPETENCIES To be successful in this role, you will demonstrate: * Working knowledge of the renewable energy or infrastructure sector — sufficient to understand how assets are managed, how performance is measured, and what matters commercially to the business. * Commercial acumen: able to connect product decisions to business outcomes, understand how assets generate returns, and engage credibly with stakeholders on the financial and operational metrics that matter to them. * Strong product instincts: able to identify the right problem to solve, scope it clearly, and build a compelling case for prioritisation. * Demonstrated ability to translate complex business requirements into well-structured, deliverable technology products. * Experience leading delivery in an agile environment, with a track record of shipping products on time and to quality. * Credible stakeholder manager — comfortable engaging with senior business stakeholders and translating their needs without deferring to them on product decisions. * Excellent communication skills: able to present clearly to non-technical business stakeholders and technical delivery teams alike. * Ability to identify and frame opportunities for AI and analytics to add measurable business value. * Delivery focus with strong critical thinking and problem-solving skills. * Passion for sustainability and the mission to lead the transition to clean energy. * Commitment to NextEnergy Group’s values: be a leader, build trust, be responsible, be innovative, and ‘bring your alpha’. EXPERIENCE & QUALIFICATIONS * 2–5 years of experience as a Product Manager, with a track record of delivering data or analytics products in a technology or digital function. * Background or meaningful exposure to renewable energy, infrastructure asset management, or investment management — whether through a technology role, a consulting role, or direct experience in those sectors. * Commercial awareness: experience working on products where understanding business performance, financial reporting, or investment returns was important to making good product decisions. * Familiarity with solar asset management or related renewable energy operations is advantageous; experience with battery energy storage systems (BESS) is a particular plus. * Fluency in agile product delivery practices. * Experience managing technology vendors and third-party delivery partners. * Experience working in a regulated industry (energy, infrastructure, financial services, or similar). * Excellent written and verbal communication skills. * The right to work in the UK. WHAT WE OFFER * A busy role in a supportive team, with plenty of opportunities to learn * International scope – we operate in over 8 countries * Hybrid working – we will need you in the central London (Mayfair) office at least twice a week, but you will normally be able to work remotely for the remainder of the week * 30 days’ holiday per year (3 of which are taken during the festive shutdown in December) * Private pension * BUPA Healthcare for you and qualifying dependents * Cycle to work and electric vehicle leasing schemes * Annual discretionary bonus. HOW TO APPLY If you are interested in this opportunity, please follow the link to apply or send your application to careers@nextenergygroup.com. If you have been shortlisted for the next stage, we will be in contact within 14 days. By selecting “Apply” or sending us your CV, you indicate you have read and acknowledged NextEnergy Group’s Candidate Privacy Notice. DIVERSITY AND INCLUSION Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, talent and hard work form the bedrock of who we are and who we aspire to be. We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. ABOUT US NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector. Since its inception, it has been active in the development, construction, and ownership of solar assets across multiple jurisdictions. NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its institutional funds. * NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, NESF manages 102 solar and energy storage assets in the UK and Italy, with a total installed capacity of 983MW and a gross asset value of £1,014m. * NextPower II (NPII): A private fund of 105 solar plants (149MW) focused on Italy, successfully divested in January 2022, delivering net IRRs exceeding its 10-12% target. * NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries (e.g., US, Spain, Italy), with $896m raised, exceeding its $750m target. * NextPower UK ESG (NPUK ESG): A private fund dedicated to new-build solar plants in the UK, with ~£600m raised. * NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and adjacent technologies like battery storage. To date, it has raised $745m, targeting $1.5bn ($2bn ceiling). WiseEnergy® is NextEnergy Group’s operating asset manager. WiseEnergy is a leading specialist operating asset manager in the solar sector. Since its founding, WiseEnergy has provided solar asset management, monitoring, technical due diligence and under construction services to over 1,500 utility-scale solar power plants with an installed total capacity in excess of 3.4 GW. WiseEnergy clients comprise leading banks and equity financiers in the energy and infrastructure sector. Starlight is NextEnergy Group’s development company that is active in the development phase of solar projects. It has developed over 100 utility-scale projects internationally and continues to progress a large pipeline of c.10GW of both green and brownfield project developments across global geographies. NextSTEP is the venture capital fund of NextEnergy Group, dedicated to investing in innovative startups in the field of environmental sustainability. The fund primarily focuses on investments in Italy and the United Kingdom but also extends its reach to the rest of Europe and the United States, targeting startups in the pre-seed and seed stages. NextSTEP pays particular attention to emerging entities from incubators, startup accelerators, universities, and research centers, supporting projects that address global challenges in crucial areas such as Climate Change, Energy Transition, CO2 Capture and Sequestration, Circular Economy, Sustainable Cities, Sustainable Mobility, Sustainable Fashion, Waste Management, Water and much more. NextEnergy Foundation is a non-profit organisation founded in 2016 by the NextEnergy Group that operates internationally and whose mission is to proactively participate in the global effort to reduce carbon emissions by providing clean energy sources in regions where they are not yet available and thereby contributing to poverty reduction. As the main sponsor of this foundation, the NextEnergy Group donates at least 5% of its consolidated net profits each year. The NextEnergy Foundation has no overhead costs and therefore 100% of the funds raised go to donations for the various projects. Since 2016, in 8 years of operation the foundation has donated more than £1.2 million, supporting over 30 projects in 27 different countries around the world.
ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting-edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have * Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. * GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data. * Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges. * Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform’s AI roadmap. * Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for * Experience: 10+ years of hands-on industry DS/ML experience, with a focus on either: * ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. * Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). * Hands-on experience working with Distributed Spark based systems * Experience with data engineering concepts or a good understanding of data engineering concepts * Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Communication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences. * Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. * Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location: London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team) The impact you will have: * Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services. * Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples. * Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. * Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for: * Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment. * Pre-sales or post-sales experience working with external clients across a variety of industry markets Data Science/ML Skills * Hands-on industry ML experience in at least one of the following: * ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring * Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Hands-on experience working with Distributed Spark based systems. * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving our values through ML * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.