THANK YOU FOR REGISTERING

Interested in working with Meta? If you're a Content Specialist, get in touch!Start Date: ASAPDuration: 6 MonthsLocation: RemoteRate: £350 - £500 per day, on a PAYE ModelProject Summary: The Content Specialist role is a strategic leader responsible for developing and driving overall program strategy for content initiatives across Meta platforms and products. This role requires deep expertise in content strategy, operational excellence, and cross-functional stakeholder management. The ideal candidate should have a proven track record of leading large-scale programs, and the ability to influence and align teams at all levels. Responsibilities:Develop and lead strategies for content initiatives, providing guidance on project intake, design, and development.Write and iterate on systems prompts to evaluate and improve large-language model (LLM) outputs for specific product use cases. Requisition Intake Form EMEAOversee and guide the execution of multiple workstreams, ensuring alignment with organizational objectives and program strategy.Perform data exploration and analysis to produce actionable insights and reports for engineering, strategy, and product teams.Define emergent opportunities and support the team in executing in highly ambiguous areas; nimble support and flexibility is required.Design and implement scalable, adaptable processes, workflows, and content templates to support program growth and operational excellence.Maintain commitment to accuracy and consistency in content review, including guidelines and AI model evaluation.The expertise we are looking for:8 years of relevant experience in content strategy, program management, or related field working with engineering, design, and user research teams.1 years of advanced experience in AI/ML model content evaluation and advanced prompt engineering.Critical thinker with exceptional ability to translate data findings into clear, concise, and compelling reports.Ability to dive into and adopt evolving AI tools / solutions to improve overall productivity.Strong executive communication and relationship-building skills.Experience with social media platforms, content discovery tools, or content strategy and AI development.Creative self-starter that can operate independently.Proficiency in Google Sheets and conducting data analysis.Prompt engineering - System prompting - Model evaluations - LLM - AI analyst - Candidates working in start-ups or freelancers would be at the forefront on this role.

Are you a Content Specialist interested in working with Meta?Start Date: ASAPDuration: 6 MonthsLocation: RemoteRate: £330 - £475 per day, on a PAYE ModelProject Summary: The Content Specialist role is a strategic leader responsible for developing and driving overall program strategy for content initiatives across Meta platforms and products. This role requires deep expertise in content strategy, operational excellence, and cross-functional stakeholder management. The ideal candidate should have a proven track record of leading large-scale programs, and the ability to influence and align teams at all levels. Responsibilities:Content Strategy & Evaluation: Develop and implement content guidelines and strategies for AI model evaluation, ensuring accuracy, consistency, and scalability.System Prompting: Write, iterate, and optimize system prompts to enhance large-language model (LLM) outputs for specific product use cases.Project Management: Facilitate day-to-day execution of workstreams, managing project timelines and deliverables at the operational level.Process Development: Design lightweight, repeatable workflows and content templates that enable the team to move fast and iterate quickly in a dynamic environment.Data Analysis: Analyze complex datasets to extract actionable insights and trends. Produce clear, compelling reports that inform partners and stakeholders.Collaboration: Partner with content and product teams to improve user experience and drive cross-functional initiatives.The expertise we are looking for:Critical thinker with the ability to translate data findings into concise, actionable reports. Strong command of grammar, style, and tone.Hands-on experience developing and evaluating system prompts for AI models.Proficiency in Google Sheets and basic data analysis techniques.Prompt engineering experience, preferably with competitor companies.Familiarity with social media platforms, content discovery tools, and content strategy in the context of AI development.Creative self-starter with a strong work ethic and ability to work autonomously.

A fast‑growing AI/fintech company is hiring a high‑impact Strategy & Operations professional. This role sits at the centre of growth, product, customers, and internal systems, working directly with the founding team to build the operational infrastructure that enables the company to scale at speed.Role Summary This is a high‑ownership, cross‑functional role focused on building systems, improving decision quality, and driving operational clarity across the organisation. You’ll work across GTM, product, engineering, data, and customer teams to ensure the business scales without losing speed or quality. Key ResponsibilitiesOwn the company’s operating cadence, including weekly leadership reviews, functional scorecards, and quarterly planning.Standardise product and revenue reporting with actionable, decision‑useful metrics.Drive resource allocation across commercial, product, and technical teams.Build and maintain live dashboards in partnership with data teams.Translate leadership priorities into clear, executable plans with owners, timelines, and measurable outcomes.Monitor trials, POCs, and customer accounts to ensure focus on high‑value opportunities.Design and refine performance frameworks, tooling, and internal processes.Ensure sequencing and prioritisation across product and engineering initiatives.What to ExpectWork directly with the founding team on high‑leverage, company‑level priorities.Fast‑changing priorities requiring rapid problem‑solving and reallocation of resources.An environment where execution quality and operating excellence are critical.Ideal Background Candidates may come from:Founder’s Office / Chief of Staff roles in scaling B2B start‑ups.BizOps, RevOps, or Product Ops within high‑growth companies.Consulting or banking combined with hands‑on operating experience.Technical program or platform operations roles involving sequencing, dependencies, and cross‑team coordination.Experience in B2B SaaS, fintech, enterprise software, or AI infrastructure is especially relevant. Strong analytical or technical academic backgrounds are beneficial but not essential. Desired TraitsComfortable challenging senior stakeholders and redirecting priorities.Confident operating across both commercial and technical environments.Systems thinker who defaults to building processes, dashboards, and frameworks.Focused on leverage and outcomes rather than tasks.What’s OfferedDirect exposure to founders and senior leadership.Competitive compensation with meaningful equity.The opportunity to build the operating system of a high‑velocity AI business.A culture defined by trust, intensity, and high impact.

Business Analyst (AI Programmes)12-Month Contract | Remote (Anywhere in Europe)Rate: 250-300 Euros/day Trust in SODA is supporting a specialist AI implementation consultancy delivering AI and data solutions for enterprise clients. We are looking for an experienced Business Analyst to support the definition, delivery, and validation of AI use cases across business and technical teams. ResponsibilitiesEngage business stakeholders to capture, clarify, and prioritise AI use casesTranslate business needs into clear requirements, user stories, and acceptance criteriaEnsure alignment between business objectives, delivery scope, and technical solutionsManage scope and change requests throughout the delivery lifecycleSupport solution validation through demos, UAT, and feedback cyclesSkills & ExperienceStrong background in business analysis or product ownership within AI or data initiativesCo-Pilot experienceExperience working with AI, data, and engineering teams in agile environmentsConfident stakeholder management and facilitation skillsClear communicator with a strong focus on business value and outcomes

DevSecOps Engineer | FinTech Platform | Remote-first (Germany)I’m partnered with a growing European fintech platform operating in the brokerage and investment space. Following a recent acquisition, the company is looking for a DevSecOps Engineer to help embed security across cloud infrastructure and engineering workflows.What you’ll doDesign and implement cloud security controls in AWSImprove Kubernetes and container securityEmbed security into CI/CD pipelines and the SDLCDrive vulnerability management and remediationSupport SIEM monitoring and security operationsReview architecture from a secure-by-design perspectiveCoordinate vendor security reviews and penetration testingAbout youExperience with cloud security (AWS preferred)Exposure to CI/CD security and vulnerability managementComfortable working across infrastructure, engineering, and security teamsAble to document processes and operate in regulated environmentsStrong written English communicationNice to haveFintech or regulated industry experienceKubernetes security knowledgeSIEM or security operations exposureTerraform / Infrastructure as CodeSecurity certifications (AWS, CISSP, CKS, etc.)Benefits of the roleHigh ownership in a small, growing teamRemote-first, with 4 days/month onsiteFlexible hoursWork from anywhere in the EU for up to 60 days per yearIf you’re interested in helping build security foundations inside a scaling fintech platform, apply now.

🌍 Senior Business Development Manager – Spanish SpeakerHybrid / RemoteGlobal EdTech SaaSWe’re currently supporting a fast-growing, international EdTech platform (part of a publicly listed global learning group) as they expand their presence across the Spanish market.This is a senior, new-business focused opportunity within a high-growth SaaS environment.🚀 The RoleThe successful hire will lead strategic growth across Spain, working enterprise and mid-market corporate clients within HR / L&D functions.Key focus areas include:Closing high-value SaaS deals (€200k ACV)Managing full-cycle sales (with SDR support)Building and forecasting pipeline accuratelyEngaging decision-makers across HR, Talent, and Learning functionsRepresenting the brand at regional events and trade showsActing as a senior presence within the team and sharing best practiceFluent Spanish & English required.🎯 Ideal ProfileProven B2B SaaS sales backgroundStrong enterprise deal experienceExperience selling into HR / L&D / Training departmentsConfident engaging C-level stakeholdersStructured sales approach (MEDDPICC beneficial)Commercially strategic and hands-on🌱 Why This Opportunity?High-growth international SaaS businessExpansion role with real ownershipStrong brand recognition in digital learningHybrid flexibilityClear career progression pathwayIf you’re an experienced SaaS sales professional targeting the Spanish market and open to something strategic, senior and growth-focused - Lets connect!

Full Stack Data Engineer - On-site Central LondonWe've had a new role just go live with an incredibly exciting FinTech who are building AI products which change how analytical and operational work is done in the banking sector. If you're an experienced Full-Stack Data Engineer looking for a challenge to throw yourself into and build something incredible, this is the one for you. It's an extremely rare opportunity to work side-by-side with founders who have already sold businesses for hundreds of millions in their short careers. You'll be surrounded by some of the best minds and engineers you have ever worked with and be able to immerse yourself in a team who all believe they are building something really special. If you're already someone who looks to build AI Agents to solve problems, you'll find yourself in likeminded company. The RoleBuild rock‑solid data pipelines (batch streaming).Shape clean, trusted data models used across the business.Define core metrics with product and commercial teams.Power self‑serve analytics through well‑designed semantic layers.Guarantee data quality with automated tests and rapid incident response.What You’re Signing Up ForA high‑intensity, high‑ownership environment.Big swings, fast pivots, and serious learning.Direct access to founders and real influence on product direction.Hard work, huge impact, zero boredom.What You BringStrong academic background.5 years of data engineering or similar, owning production pipelines.Elite SQL strong data modeling skills.Experience working with tools such as LookML or equivalentsExperience with modern data stack tools.Proven ability to build reliable, observable data systems.If you're at the stage of your career where you're ready to commit fully to a company already with a strong product-market fit and make a defining statement, send over your CV or contact Adam Whitehurst at Trust in Soda for more info.

Data EngineerDuration: Initial 6 monthsLocation:  Remote Rate: £500 - £600 Outside IR35This role focuses on accelerating the development of the Data Platform by contributing to the cross-functional engineering teams within the Wealth business unit. The primary responsibilities involve technical development, ensuring the quality of data solutions, and collaborating with team members.As part of the engineering team, you will work with engineering team leads, solution architects, software engineers, quality engineers, and product members to contribute to the design, development, delivery, and operation of UK Wealth data products.Strong knowledge and recent experience in many of the following data technologies andmethodologies:Data Architecture Principles: Data lakes, data warehouses, ETL/ELT processes (knowledge Debezium advantageous), data modelling, and data governance.Programming Languages: Python (for data manipulation, analysis, and scripting), SQL (for database interaction and data querying), Pyspark, Kafka and potentially Java or Scala for big data processing.Database Technologies: Experience with relational databases like MS SQL Server and PostgreSQL, as well as NoSQL databases (e.g. DynamoDB).Data Intelligence Platforms: Working knowledge of enterprise DI platforms, specificallyDatabricks, including Data ingestion, streaming, transformation, data integration patterns and tools.Data Integration and Pipelines: Building, maintaining, and optimising data pipelines using tools and frameworks designed for efficient data movement and transformation.Cloud Data Platforms: Familiarity with cloud services for data engineering, such as AWS (e.g., S3, Redshift, Glue).Data Testing and Quality: Implementing data quality checks, data validation, and unit testing for data pipelines to ensure data accuracy and reliability.Scripting and Automation: Using Bash, PowerShell, or Python scripts to automate data-related tasks and workflows.Version Control: Proficient with Git and GitHub for managing code and data-related configurations.Build and CI/CD for Data: Understanding and applying CI/CD principles for data pipelines and deployments, including familiarity with tools like Jenkins, GitLab CI, or similar platforms.Data Security: Awareness of data security practices, including access control, data encryption and compliance with data privacy regulations.Data for AI products/solutions: Knowledge of the use of AI in the context of data. Practicalexperience of AI and AI tooling is beneficial but not required.Key CompetenciesStrong interpersonal skills with the ability to communicate effectively at all levelsAnalytical thinker with a logical approach to problem-solving and solutionsFlexible in approach and mindset to adapt to changing priorities and requirementsAbility to thrive under pressure in a fast-paced environment, able to prioritise tasks and manage your own time appropriatelyAble to work both independently and collaboratively within a team environment to achieve team goals and objectives