Technical Onboarding Support Executive - German speaker (f/m/d)

Octopus Legacy

The Company Octopus Legacy is the place to plan for death and find support after loss. When people think about planning for death they think about wills, life insurance and funerals. We take these cold processes and turn them into something more human. Share more than money: leave voice notes, music, recipes. Shape a legacy that connects you while you're here. And after you're gone. Founded by Sam after his mum died suddenly, we’re a group of people who work in death because we’ve been affected by it. We know the difference a good plan makes, and what it’s like when there isn’t one. Death can come between us, leaving mess, legal fees, frustration. But it can also make us stronger. We see a world where people talk openly about death, and work out the real meaning of legacy, one that connects to them. We’re here to make that world happen.  The Role What You’ll Do * Own day-to-day IT operations - user support, onboarding/offboarding, device management, account provisioning, and troubleshooting across the business. * Manage and administer Google Workspace - user accounts, groups, security policies, shared drives, and organisational configuration. * Manage Apple device fleet via MDM - provisioning, configuration, software deployment, security policies, and lifecycle management for MacBooks and iOS devices. * Maintain security and compliance - enforce security policies, manage access controls, coordinate with the engineering team on infrastructure security, and ensure audit readiness. * Manage vendor relationships - liaise with suppliers for hardware, software licensing, connectivity, and third-party services. * Document processes and systems - maintain clear, up-to-date documentation for IT procedures, configurations, and disaster recovery plans. * Drive automation and efficiency across IT operations, leveraging AI tools and agent-based workflows to reduce manual processes and improve scalability * Contribute to building a more self-service IT environment, enabling employees to resolve common issues independently through tooling, documentation, and automation * Identify opportunities to streamline support using modern technologies (e.g. AI assistants, workflow automation, scripting) What we’re looking for Essential * Strong hands-on experience administering Google Workspace at an organisational level. * Experience managing Apple devices (MacBooks, iPhones/iPads) using an MDM solution such as Jamf, Mosyle, Addigy, Kandji, or Apple Business Manager. * Proven ability to plan and execute IT and infrastructure projects from scoping through to delivery. * Experience with user onboarding/offboarding, account management, and IT support in a growing business. * Solid understanding of networking fundamentals, security best practices, and access management. * Organised, self-directed, and comfortable being the sole IT person - you’ll need to prioritise and manage your own workload. * Clear communicator who can work with both technical and non-technical colleagues. Nice to Have * Experience supporting IT through acquisitions or company integrations. * Familiarity with SaaS administration (Slack, Notion, Jira, HubSpot, or similar). * Experience with cloud platforms (AWS, GCP) at an infrastructure level. * Scripting ability for automation (Bash, Python, or similar). * Experience in a startup or scale-up environment where you’ve had to build processes from scratch.h real variety - no two weeks will look the same. Benefits: * Octopus share incentive scheme. * Flexible working: 3 days in the office (Holborn), remote 2 days a week.  * Flexible holiday policy + extra day off for your Birthday. * Work from anywhere in the world for up to 4 weeks per year. * Vitality Health & Life Insurance.  * Pension scheme. * Enhanced parental leave. * Free Will & LPAs + discounts on other Octopus services. * Cycle to Work Scheme and access to the Electric Vehicle (EV) Salary Sacrifice Scheme. * Octopus Giving: we match any charitable fundraising that you do up to £500.  * Octopus Springboard: where we help our employees become fully-fledged entrepreneurs. * Dog friendly office. * Breakfast every day, snacks and wellness activities. We know that to be truly innovative, we need to have a diverse team around us. That is why Octopus Legacy is committed to creating an inclusive environment and is proud to be an equal opportunity employer.

Ledgy

At Ledgy, we’re on a mission to make Europe a powerhouse of entrepreneurship by building a modern, tech-driven equity management and financial reporting platform for private and public companies. In 2026, we aim to be the leading provider for European IPOs and reporting for share-based payments. We are a value-based company with a core focus on being humble, transparent, ambitious and impactful, all in order to delivery the best experience for our customers and end users. We are proud to partner with some of the world’s leading investors. New Enterprise Associates led our $22m Series B round in 2022, with Philip Chopin joining Sequoia’s Luciana Lixandru on our board. We were founded in Switzerland in 2017 and today we operate globally from offices in Zurich and London. We encourage diversity and are an international team coming from 26 different countries and speaking 25 different languages.   ABOUT THE ROLE: As a Staff Product Manager (reporting into the Head of Product) your job is to help us make equity work for our customers. Your primary focus will be to scale the most foundational parts of our platform as we expand across new markets globally and move upmarket to serve the largest public businesses: equity types, transactions, calculations and trading integrations for public companies. You will balance simplicity and flexibility while ensuring data accuracy and driving adoption of these core components through our customers and other teams. AT LEDGY YOU WILL: * Define the vision and strategy for the heart of our product (transactions & effects, equity types, trading), in collaboration with product and engineering leadership * Define, plan, and execute a roadmap to bring our equity and cap table management to the next level so that finance and legal teams can trust their equity data is accurate and compliant * Run discovery to develop deep expertise in equity structures across Ledgy's core markets * Collaborate with product leadership on strategy, balancing enterprise delivery milestones with longer-term platform investments * Partner with Design, Engineering, and SMEs to write clear specifications and manage delivery in an agile setting * Contribute to Ledgy's PM best practices, and model high AI fluency, using AI tools to move faster and work smarter across research, documentation, and delivery * Define and track success metrics for your team's initiatives, balancing enterprise delivery milestones with broader product KPIs IN THE FIRST 30 DAYS: * Be paired with an onboarding buddy who will introduce you to the world of equity management as well as the whole Ledgy team * Get to know the Equity Foundations team engineers, design and domain experts * Understand the complexity, breadth and depth of Ledgy as a platform * Watch call recordings, shadow customer & prospect calls and get in front of your first real customer * Start contributing to roadmap discussions with guidance from team members IN THE FIRST 60 DAYS: * Develop a deep understanding of the regulatory and business requirements our customers face, including those around trading and brokerage integrations * Fully master Ledgy's value proposition, understand our product capabilities and competitive landscape * Understand the data models and key architectural patterns that power Ledgy and their dependencies * Take ownership of key features and product initiatives * Lead sprint planning and collaborate on technical specifications IN THE FIRST 90 DAYS: * Help shape the technical and product direction of our core product * Create a vision to power the evolution of our platform to support enterprise-scale customers with a global footprint that balances simplicity and flexibility while ensuring data accuracy * Engaged with our integration partners and run RFPs to find new ones that helps expand our coverage across markets (e.g. new brokers or payment processors) * Contribute to PM best practices THE JOB IS A GREAT FIT IF YOU: * Have a minimum of 8+ years of product management experience, ideally in B2B SaaS with significant time spent in enterprise-facing roles * Understand financial systems and compliance frameworks * Have scaled complex products across jurisdictions in regulated or compliance heavy spaces (e.g. banking, payroll, etc). You don’t shy away from detailed legal documentation and specs * Are a fast learner and have a strong technical understanding and passion to solve deep problems * Think horizontally, can easily spot dependencies and seek opportunities to improve the platform holistically * Experience owning third-party integrations (APIs, partner platforms, broker connectivity) * Are genuinely excited about startups: you move fast, adapt quickly, and bring energy and ownership to your work even when things are ambiguous * Are well-versed in AI tools and apply them actively to increase your speed and the quality of your output. You're forward-thinking about how AI changes the way PMs work * Have a strong sense of accountability, ownership and outstanding solution focus * Have excellent communication skills, both written & verbal, and in the room with senior enterprise stakeholders; fluent in English NICE TO HAVES: * Background in financial services, fintech, or wealth management * Prior experience with equity management, trading, brokerage, or capital markets platforms * Technical background, e.g. Masters in Engineering etc * Previously worked as a PM in a horizontal / platform-adjacent type of team

Winton

ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. ----------------------------------------------------------------------------------------------------------------------------------   Winton leverages quantitative analysis and cutting-edge technology to identify and capitalize on opportunities across global financial markets. We foster a collaborative and intellectually stimulating environment, bringing together individuals with Mathematics, Physics and Computer Science backgrounds who are passionate about applying rigorous scientific methods to financial challenges. As a fundamentally data-driven business, our success is heavily linked to the acquisition, processing, and analysis of vast datasets. High-quality, well-managed data forms the critical foundation for our quantitative research, strategy development, and automated trading systems.   As a Data Engineer within our Quantitative Platform team, you will play a pivotal role in building and maintaining the data infrastructure that fuels our research and trading strategies. You will be responsible for the end-to-end lifecycle of diverse datasets – including market, fundamental, and alternative sources – ensuring their timely acquisition, rigorous cleaning and validation, efficient storage, and reliable delivery through robust data pipelines. Working closely with quantitative researchers and technologists, you will tackle complex challenges in data quality, normalization, and accessibility, ultimately providing the high-fidelity, readily available data essential for developing and executing sophisticated investment models in a fast-paced environment.   Your responsibilities will include: * Evaluating, onboarding, and integrating complex data products from diverse vendors, serving as a key technical liaison to ensure data feeds meet our stringent requirements for research and live trading. * Designing, implementing, and optimizing robust, production-grade data pipelines to transform raw vendor data into analysis-ready datasets, adhering to software engineering best practices and ensuring seamless consumption by our automated trading systems. * Engineering and maintaining sophisticated automated validation frameworks to guarantee the accuracy, timeliness, and integrity of all datasets, directly upholding the quality standards essential for the efficacy of our quantitative strategies. * Providing expert operational support for our data pipelines, rapidly diagnosing and resolving critical issues to ensure the uninterrupted flow of high-availability data powering our daily trading activities. * Participating actively in team rotations, including on-call schedules, to provide essential coverage and maintain the resilience of our data systems outside of standard business hours. What we are looking for: * 1+ years’ experience building ETL/ELT pipelines using Python * Familiarity with various technologies such as S3, Kafka, Airflow, Iceberg.  * A commitment to engineering excellence and pragmatic technology solutions. * A desire to work in an operational role at the heart of a dynamic data-centric enterprise. * Excellent communication and collaboration skills, and the ability to work in a team. What would be advantageous: * Strong understanding of financial markets. * Proficiency working with large financial datasets from various vendors. * Experience working with hierarchical reference data models. * Proven expertise in handling high-throughput, real-time market data streams * Familiarity with distributed computing frameworks such as Apache Spark * Operational experience supporting real time system   ---------------------------------------------------------------------------------------------------------------------------------- EQUAL OPPORTUNITY WORKPLACE We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.