
ElevenLabs · London
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first hum...
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of
businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's
most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was
$11B - multiples of 11, always.
monitoring, and reliability necessary to deploy voice and chat agents at scale.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are
researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact,
we want to hear from you.
to operations.
the boundaries of what’s possible.
immediate role and responsibilities.
and Italy.
ElevenLabs moves fast - and our Enterprise Deployment team sits at the sharpest edge of that speed. Responsible for deploying AI
agents into production across the world's largest enterprises, the team has grown from 4 to over 50 people in the last twelve
months and operates across every major geography.
This is a high-trust, hands-on role for someone who thrives in technically complex, fast-moving environments and takes genuine
ownership of the details that keep senior leaders and their teams running at their best.
You will be the operational backbone for the person who leads Enterprise Deployment - managing calendars, coordinating across time
zones and enterprise customer relationships, handling travel, and owning the day-to-day administrative tasks that allow the team
to focus on what matters most: deploying world-class AI agents and growing a high-performing global team.
across the broader team
contexts
government and regulated industry contacts
logistics for a 50+ person distributed team
asked
high-growth environment
simultaneously
executives and government contacts to vendors and internal teams
navigate complex situations with maturity
This role will require you to be based in London, with the ability to travel into the office as required.
#LI-Remote
Who is Atominvest Atominvest is the operating system for modern private markets asset managers. Our modular, flexible SaaS technology underpins key investor- and portfolio-management workflows. Our customers are sophisticated private equity, growth equity, and private credit firms managing billions in assets globally. We aim to deliver ongoing high-quality outcomes for them through a long-term partnership mindset. At Atominvest, you’ll be working on something very exciting: the future of work, investments and sustainability/ ethical investing for the world’s best investors and delivering a positive impact through this. Based on the growth we are experiencing, we think we’re on to something big. It won’t be easy. Joining a scale up business is an amazing and rewarding challenge, pushing well beyond the boundaries of natural growth cycles. You’ll move quicker than feels comfortable and be brilliant at continually re-prioritizing what must get done to keep Atominvest growing year over year at the pace of the best SaaS companies on the planet. We’ve gone from zero to ten, now we’re looking to go from ten to one hundred! Role Overview As a Customer Success Manager at Atominvest, you will own the end-to-end delivery of our platform for some of the world's most sophisticated alternative investment managers. You will be the primary relationship lead across complex, multi-stakeholder implementations — responsible for fast time-to-value, deep product adoption, and long-term account growth. This role sits at the heart of our commercial organisation, requiring someone equally comfortable in an Excel-heavy data migration and a C-suite business review. You will work closely with Product, Engineering, and Sales to ensure client outcomes are consistently delivered at the highest standard. What You'll Be Doing * Own the full client lifecycle: requirements gathering, configuration, data migration, UAT, training, go-live, and post-deployment success * Lead structured implementation programmes for enterprise clients, managing complex timelines, dependencies, and senior stakeholder expectations * Run discovery workshops and executive business reviews with both operational and C-level contacts * Analyse client datasets, fund structures, and reporting workflows to design and configure optimal platform solutions * Proactively manage risk and escalation — keeping implementations on track in fast-moving, regulated environments * Partner with Product to manage change and operational risk during feature deployments — coordinating rollouts, communicating impact to clients, and ensuring new functionality lands smoothly within live production environments * Act as the bridge between clients and the product roadmap — gathering structured feedback, influencing prioritisation, and owning the end-to-end delivery of new features to your client base * Deliver consistently high-quality, responsive support, treating every client issue with urgency and ownership * Identify and develop expansion opportunities by understanding clients' broader operating models and strategic goals * Act as the voice of the client internally, contributing structured product feedback to Engineering and Product Requirements * 3–6 years in a Customer Success, Implementation, or client-facing role within B2B SaaS — specifically serving financial services or asset management clients * Demonstrable experience managing enterprise implementations end-to-end, including data migration and multi-phase delivery * Solid working knowledge of private markets, fund structures and investor reporting * Exceptional project management instincts — you track every dependency, own every deadline, and communicate proactively when things shift * Highly analytical, with strong Excel skills and comfort working with complex client datasets * Polished, precise communicator — written and verbal — with the confidence to challenge and guide senior stakeholders * High professional standards and meticulous attention to detail; you notice what others miss * Entrepreneurial mindset: you thrive with autonomy, move quickly, and bring solutions not problems * Bonus: formal PM methodology (PMP, PRINCE2, etc.) What we offer * Competitive compensation (fixed base salary + performance incentives) * 25 days of holiday per year + bank holidays * Hybrid working style (a minimum of 3 days in our central London office is required) * Cycle2Work scheme * Employee Assistance Programme (EAP) to support employee wellness * A culture of trust, ownership, responsibility and autonomy in your work * An incredible team of smart and mission-driven people to work with * Fun working atmosphere * Significant growth opportunities * Company-wide socials and events
We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, software architects, entrepreneurs, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our sales executives, helping customers solve business problems by leveraging our solutions, playing a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in London for our hybrid working model. AS AN IDEAL CANDIDATE, YOU WILL HAVE: * Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software * Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity * Experience designing with scalable and highly available distributed systems in the cloud and on-prem * Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology * Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership * Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan * The ability to travel up to 25% * A Bachelor’s degree or equivalent work experience YOU MAY ALSO HAVE: * Experience selling databases and/or deploying applications with any of the major cloud providers * Experience with database programming and data models * Experience in data engineering or AI/ML projects * Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks * Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message * A MongoDB Certification * A Cloud Provider Certification WHAT YOU DO AT MONGODB: In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will: * Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB * Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders * Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation) * Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events * Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction * Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members * Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends WHAT YOU WILL LEARN: MongoDB Product Suite Mastery: * Core Database Server: Master the fundamentals and advanced features of MongoDB's core database * Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts * Relational Migrator: Learn to migrate from relational databases seamlessly Market-Relevant Technologies: * Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms * Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes Modern Architecture Design: * Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security * Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space Sales Techniques and Soft Skills: * Effective Communication: Master presentations, demonstrations, and whiteboarding * Client Interaction: Develop strategies for discovery and objection handling Industry Insights: * Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries ABOUT MONGODB MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. Req ID: 2273450328
ABOUT THE ROLE Scale's Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. As a Staff Applied AI Engineer, you'll raise the bar for how AI gets built, governed, and evaluated across the team. You'll define standards that other engineers adopt, such as evaluation methodologies for agents and MLOps practices, while acting as the senior technical voice for the most sensitive AI decisions our clients face. What you'll do * Define standards for responsible AI, model governance, and production MLOps that get adopted broadly across the Global Public Sector team * Build or validate the highest-risk parts of strategic AI systems and use those systems to establish standards other teams can adopt. * Architect AI systems designed to prevent systemic failure, and lead the resolution of the most severe incidents tied to model safety or data integrity * Build reusable AI capabilities, such as production-ready agent implementations built on proven architectures, fine-tuned models, or evaluation methodologies, that other engineers and clients can build on * Advise on which new AI developments are worth adopting, and help set the technical roadmap for the domain * Act as the senior technical partner to client leadership on AI strategy * Coach Senior Applied AI Engineers, delegate ownership of technical domains, and build systems and practices that enable multiple teams to deliver safer AI * Contribute to recruiting and representing Scale's AI work externally What we look for * 7+ years of engineering experience, with a multi-year track record owning AI/ML systems in production * Experience judging the quality of training data, selecting the right adaptation method for a given model, evaluating fine-tuning results, and balancing serving cost, latency, and quality trade-offs * Experience owning an AI-powered product end to end, including direct involvement in the AI's behaviour rather than implementing ML work scoped by another team * A track record of establishing standards that outlived the projects they were built for, such as an evaluation methodology, an MLOps practice, or an architectural pattern * Comfort operating with executive-level clients and leadership, including defending a technical position under pressure * Deep experience with regulated, sovereign, or on-premise AI deployment, including hallucination mitigation and auditability Where this role sits Your primary accountability covers production AI behaviour, its backend integration, and the evaluation required for a specific customer. Senior Full-Stack Engineers own the complete user-facing application and its infrastructure. ML Research Engineers lead novel agent architecture and the benchmark methodology used across accounts. The roles work together on agents and evaluation, with accountability set by the scope of the problem. The Public Sector context Location, travel, and vetting requirements vary by assignment. Some UK assignments require BPSS screening and may require SC or DV clearance. Requirements depend on the account and each candidate's circumstances. We discuss assignment-specific eligibility early in the hiring process. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster [https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf] for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy [https://scale.com/legal/privacy] for additional information.