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 database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database 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 database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 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: 426207

The Opportunity

As an AI Solutions Manager, you’ll partner with some of the most innovative AI/ML teams in the world. You’ll play a pivotal role in driving adoption, shaping product use cases, and ensuring our customers succeed in leveraging AI to achieve real-world impact. This role offers a unique chance to grow alongside a leading AI company and gain deep insights into cutting-edge AI/ML applications. While we are a remote-first company, the nature of this role requires candidates to be based in the London area as this role will work directly with our customers in the EMEA region.

The Team

Our engineering team builds systems that interact with some of the most complex software ever deployed in production. The team is composed of industry veterans that have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech and much more. 

As part of our Solutions team, your work will directly contribute to our customers’ success in deploying impactful AI solutions, ensuring their models achieve measurable business outcomes. We are looking for a fast-paced, client-obsessed candidate with an entrepreneurial mindset to nurture, and grow our customers. You’ll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal cycles. You’ll accomplish this by running an effective account plan, identifying expansion opportunities with new teams, and building solutions to help achieve their goals. You’ll be involved in exciting and complex customer use cases and leverage your business acumen to navigate the intricacies.

What You’ll Do

• Build and deepen relationships with AI/ML users to foster adoption, uncover new use cases, and drive expanded usage across customer accounts. This includes regular touchpoints like weekly/bi-weekly calls and ongoing account management.
• Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions.
• Collaborate with technical teams, including Customer Success Engineering, to address complex customer needs, ensure smooth implementation, and advise on technical best practices.
• Run workshops and training sessions with customers during onboarding and new functionality
• Run QBRs to demonstrate account value, identify areas of opportunity, and strengthen customer partnerships.
• Proactively monitor product usage across your accounts to further gauge account health
• Work closely with Account Management and Executive teams to identify upsell opportunities and align on customer health strategies.
• Effectively relay customer feature requests to internal teams and advocate for customer needs.
• Ensure support teams are aligned with customer requests and priorities.

What We’re Looking For

• 3+ years of experience as a Customer Success Manager in SaaS.
• A self-starter mindset with the ability to thrive in limited process environments.
• Exceptional organizational skills with the ability to prioritize and manage multiple customer relationships effectively.
• Strong communication skills for articulating observations and fostering collaboration across teams.
• Proven ability to demo technical products and translate their value into tailored customer solutions.
• Thrives in fast-paced environments with a customer-first mindset and a focus on delivering measurable results.
• A strong team player who values collaboration and collective success.
• Bonus: Familiarity with AI/ML workflows or GenAI technologies.

The estimated annual salary and variable compensation for this role is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the “technical win”. Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise.

You will:

• Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements.
• Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises.
• Be accountable for securing the “technical win” by unblocking technical challenges
• Interact with customers daily to understand their needs and design solutions to better serve them.
• Design and develop “Scopes of Work” by breaking down customer challenges into a project plan
• Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage
• Work with AEs and PMs to identify customer-specific feature requests.
• Drive strategic initiatives to improve the efficiency and effectiveness of the Solution Engineering team.

Ideally, you'd have:

• Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals.
• Prior experience developing with Python, Java and/or other web development languages.
• Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement.
• A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership.
• Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers.
• High level of comfort communicating effectively across internal and external organizations.
• Intellectual curiosity, empathy, and ability to operate with high velocity.

Nice to haves:

• GenAI Experience
• Forward deployed engineering experience
• Machine Learning Experience

Director, Forward Deployed Engineering

At Scale AI, we're not just building AI tools—we're pioneering the next era of enterprise AI. The world's largest enterprises are racing to deploy Generative AI into the core of their operations, and Scale is the partner that gets them there. Our Forward Deployed Engineering team sits at the intersection of customer delivery and core platform development, embedding alongside customers to turn research breakthroughs into production systems that drive measurable business outcomes.

We're hiring a Director of Forward Deployed Engineering to oversee delivery for our largest and most strategic accounts. You'll lead a team of elite engineers who embed directly with Fortune 500 customers to ship deeply integrated AI agents—owning everything from agent design and evaluation to the backend services, data systems, and cloud infrastructure that make them production-ready. You'll partner closely with our Forward Deployed and Product teams to make sure we're shipping as efficiently as possible, turning hard-won field lessons into reusable platform capabilities that compound our velocity over time.

This is a high-autonomy, founder-mindset role. You'll own outcomes end-to-end, scale a team that can operate under pressure, and shape how AI adoption actually happens inside the world's biggest enterprises. Your success will be measured by how consistently your team ships, how durably those deployments stick, and how clearly the signal from the field sharpens our product roadmap.

You Will

• Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption.
• Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity.
• Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement.
• Partner with Product and core Engineering. Work closely with Forward Deployed, Product, and Platform teams to ensure we ship efficiently. Identify patterns across engagements and codify them into reusable platform capabilities, playbooks, and building blocks that make the next deployment faster than the last.
• Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level.
• Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready.
• Drive the feedback loop into product. Translate field insights into sharp, actionable input for Product and Research, influencing model choices, platform features, and roadmap priorities.
• Operate with founder mindset. Own outcomes without waiting to be asked. Move with urgency in ambiguous environments. Make sound calls under pressure and model the calm, focus, and judgment the team needs when stakes are high.

Ideally You’d Have

• 10+ years of software engineering or technical delivery experience, including 3+ years leading high-performing customer-facing engineering teams (Forward Deployed, Solutions Engineering, Applied AI, or similar).
• A solid engineering background. You've led high-pressure technical projects from prototype to production, and you're still comfortable whiteboarding system architectures, reviewing code, and debugging production issues alongside your team.
• Proven ability to scale a delivery team. You've built hiring bars, onboarding programs, and operating standards for technical organizations, and you've interviewed and hired at volume for senior engineering roles.
• Hands-on fluency with the full AI stack. Deep familiarity with LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB, or similar), and cloud infrastructure (AWS, Azure, or GCP) including Kubernetes, Docker, and IaC tooling.
• Experience deploying AI into complex enterprise environments, including navigating security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements.
• A track record of turning field work into product leverage. You've codified repeatable patterns from customer engagements into tools, libraries, or platform features that scaled across the next wave of deployments.
• Strong cross-functional leadership. You've aligned Sales, Product, Engineering, Research, and Customer Success around shared goals and delivered outcomes that required all of them to row in the same direction.
• Founder mindset. High autonomy, high motivation, high ownership. Comfortable operating with ambiguity, bias toward action, and the judgment to know when to ship and when to raise the bar.

Exceptional communication. You can translate technical tradeoffs into decisions for executive and non-technical audiences, and model the customer empathy you expect from your team.

Scale is at the forefront of the AI revolution, working with some of the largest companies in the world to unlock the potential of Generative AI for their business.

We develop bespoke solutions that leverage our customer’s proprietary data and expertise to transform their businesses with AI. We work with them to understand the biggest levers for their business and then forward deploy with their teams to build cutting edge solutions. The applications we build are powered by the Scale GenAI Platform, a full stack product to build, test and deploy cutting edge agents. 

Some examples of GenAI applications we build are:

• Content-generation systems that enable sales teams to be more effective and efficient.
• Highly customized wealth management copilots that make advisors more effective by helping them tap into their knowledge bases quickly and accurately.
• Text2SQL business intelligence applications to make analysts more efficient and embed a culture of data-driven decision-making.

We are seeking an experienced product manager to join our team and play a pivotal role in building AI solutions with and for our customers. The ideal candidate will have a strong understanding of software engineering principles and practices and deep experience with ML/AI application development. You will be responsible for owning large AI projects for one or many customers. 

You will:

• Develop enterprise grade solutions that leverage cutting edge AI to drive business value at world class companies across many industries. 
• Work with executives at Scale and our customers to determine and execute the product strategy of the business.
• Own end-to-end product development by understanding customer pain points, defining product requirements, managing development, testing, and launches.
• Lead cross-functional teams including engineering, product design, operations, marketing, go-to-market and finance.
• Develop a point of view and execute on turning the solutions we build into repeatable software that we can commercialize across the industry. 

Ideally you’d have:

• Technical degree in computer science, engineering, or equivalent experience
• 4+ years of experience in building ML-powered products, experience in enterprise-facing products is a plus
• Strong understanding of generative AI technologies and their applications in enterprise settings
• Experience operating in a fast-paced environment with high ambiguity
• Exceptional leadership, presentation and communication skills with the ability to influence cross-functional teams
• Some coding experience (Python)

Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach. 

At Scale, we’re not just building AI solutions—we are building repeatable blocks to enable the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a member of our rapidly expanding team, we’d love to hear from you.

You will:

• Partner with public sector clients to deeply understand their challenges and define AI-driven solutions 
• Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
• Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing

Ideally you’d have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

At Scale AI, we are not just building AI tools. We are pioneering the next era of enterprise AI. As businesses rush to harness the potential of Generative AI, Scale is leading the way, transforming workflows, automating complex processes, and driving real-world impact for the world’s largest enterprises and government organizations.

Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications go into production, we are expanding our Forward Deployed Engineering (FDE) team to drive hands-on innovation where it matters most: in our customers' environments.

We are looking for a technical and strategic Engineering Manager to lead our European FDE team. This is a high-ownership role at a pivotal moment. You will be responsible for delivering high-impact GenAI solutions in production, leading a team that works directly with customers, and ensuring we solve real problems with clarity, speed, and excellence.

Why this role is unique:

• Right place, right time: We are moving from prototypes to production at scale. Our FDE team is on the front lines of this transition, helping customers adopt AI faster and with more confidence.
• Customer-first mindset: You will foster a culture of deep customer empathy and practical problem-solving. From scoping use cases to shipping solutions, your team will be responsible for every step of the delivery lifecycle.
• Strategic influence: The lessons from forward-deployed efforts directly inform our core product roadmap. You will work closely with Product and Platform teams to identify patterns, prioritize improvements, and shape the evolution of SGP.
• Operational excellence: You will bring structure to delivery, improve execution, and scale our engineering operations in a fast-moving environment.

This is a rare opportunity to help define how the next generation of AI applications is built and deployed. If you are excited by the pace of innovation in GenAI, passionate about solving real-world problems, and ready to lead a team that is redefining enterprise AI delivery, we want to hear from you.

At Scale, we do not just follow AI breakthroughs. We deliver them. Join us and be part of the team shaping the future of AI in the enterprise.

You Will:

• Lead, mentor, and grow a high-performing team of forward deployed engineers supporting enterprise GenAI initiatives
• Set clear technical direction and foster a culture of ownership, speed, and trust
• Work hands-on with customers to deeply understand and solve complex business and technical challenges
• Scope, deliver, and guide the adoption of solutions by embedding directly with customer teams
• Make smart tradeoffs between speed, scope, reusability, and bespoke solutions
• Drive technical decisions and help the team navigate system integrations and architecture choices
• Shape the product roadmap by translating customer needs into scalable platform improvements
• Build internal tooling and shared capabilities to accelerate delivery across diverse use cases
• Collaborate across engineering, product, and customer teams to streamline execution and reduce friction
• Ensure fast, high-quality delivery of features, experiments, and customer launches
• Provide strategic clarity to your team and attract, hire, and retain world-class engineering talent

Ideally, You Have:

• 3–5+ years of engineering management experience, ideally in high-growth tech environments with direct customer engagement
• A strong engineering background and a track record of leading technical teams to deliver impactful products
• Hands-on experience building or deploying AI-powered systems, with an understanding of how model behavior shapes user experience
• A deep interest in Generative AI and a belief in its potential to transform enterprise workflows
• Proven ability to make fast, sound decisions in high-pressure or ambiguous situations
• The leadership presence to earn trust and respect from engineers, peers, and senior stakeholders
• Strategic thinking with a clear ability to turn business goals into actionable engineering plans
• Operational rigor in planning, prioritizing, and delivering complex software systems at scale
• Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps, and scalable platform architecture
• Strong communication and collaboration skills, with the ability to align cross-functional teams toward common goals

Come join our growing legal team to work on the most exciting issues at the leading edge of AI!

At Scale AI, we are powering the leading AI models and pioneering the next era of advanced AI systems for the world’s largest enterprises and forward-thinking governments. You will join a solutions-oriented legal team in a place where a healthy culture meets high standards and the ambition to shape the future of AI.

You will help grow Scale’s Global Public Sector business across Europe, the Middle East, and Asia. While work variety is guaranteed, in your role you will primarily help build and deploy a range of Generative and Agentic AI systems that deliver real-world impact for governments and public sector entities.

We are looking for a relentlessly curious, open-minded, and action-oriented commercial attorney who has fun negotiating complex agreements and can optimise risk – all while being a great teammate. If you enjoy solving novel challenges while continuously learning and building strong relationships, we’d love to hear from you!

You will:

• Drive Scale AI’s international expansion by enabling market entry and operations outside the US, particularly in support of the Global Public Sector team
• Draft, review, and negotiate a wide range of commercial agreements with global entities, including Sovereign AI deals, master services agreements, and bespoke software development agreements
• Manage complex public tenders as a prime, subcontractor, or consortium partner
• Counsel on privacy and emerging regulatory requirements
• Design, implement, and iterate on policies and processes to manage legal and business risk
• Partner within Legal and across functions and geographies, proactively delivering solutions that move the business forward

Ideally you'd have:

• UK, common law, or EU legal qualification with substantial experience working on English law matters 
• 7+ years PQE in the technology sector across leading law firms, in-house, or government 
• Solid commercial and IP legal skills combined with strong business and technical acumen    
• Extensive experience negotiating complex SaaS and bespoke software development agreements
• Experience with government engagements and public procurement processes
• Familiarity with EU law
• Passion for partnering with Sales and developing practical, risk-optimised solutions 
• A collaborative, low-ego approach to working across the organisation on projects large and small
• An ability to prioritise and the willingness to embrace new challenges as part of a fluid scope of work 

Nice to have:

• Experience with legal issues related to AI, including emerging AI regulatory requirements
• Privacy counselling and regulatory compliance experience
• Experience working at or closely with GCC-based governments and enterprises
• Proficiency in Arabic

Scale’s rapidly growing International Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:

• Creating custom AI applications that will impact millions of citizens
• Generating high-quality training data for national LLMs
• Upskilling and advisory services to spread the impact of AI

Our Scale Generative AI Platform (SGP) powers production-grade GenAI applications with foundational services, APIs, and infrastructure that accelerate adoption across industries. As more of these applications move from prototype to production, we are investing heavily in the core platform that enables this scale.

We are looking for a technical and strategic Engineering Manager to lead our Engineering efforts Internationally to power custom applications we build for our public sector clients. 

At Scale, we’re not just building AI solutions—we’re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you’re ready to shape the future of AI in the public sector and be a founding member of our team, we’d love to hear from you.

You will:

• Manage the engineering team and drive technical delivery.
• Design, build, and optimize backend services for advanced AI-driven applications, focusing on AI agents, evaluation tooling, and automation.
• Comfortable working cross functionally, whether that be internal or external customers
• Work across the entire product lifecycle from conceptualization through production
• Build features end-to-end, system design, debugging and testing
• Deliver experiments at a high velocity and level of quality to engage our customers
• Influence the culture, values, and processes of a growing engineering team
• Inspire and mentor engineers.
• Collaborating with cross-functional teams to define, design, and ship new product features and experiences

Ideally you’d have:

• At least 5 years of relevant experience and at least 2 years of experience managing back engineers is preferred
• Proven success in leading, managing, and developing high-performing Engineering teams
• Expertise in identifying product engagement patterns and trends for large scale consumer products
• Track record of shipping high-quality products and features at scale
• Desire to work in a very fast-paced environment
• Ability to turn business and product ideas into engineering solutions
• Excellent problem-solving skills, and be able to work independently or as part of a team

We’re seeking a User Researcher to join our multidisciplinary Experience Design (XD) team, including Product Design, User Research, Content Design, and Design Systems. This role focuses on our B2B and B2B2C ecosystem, building a deep understanding of our Partners (Estate Agents) within a complex marketplace. You’ll shape product strategy through strategic and tactical research, embed insight into the product development process, and ensure Partner and consumer needs are represented clearly in decision-making across the organisation. 

The Role: 

• Focus on B2B and B2B2C relationships, building deep understanding of our Partners.  

• Develop insight into estate agents’ needs, behaviours, and commercial realities, alongside consumer impact. 

• Contribute to shaping product strategy through strategic and tactical research. 

• Embed insight into the product development process to drive evidence-based decisions. 

• Represent the voice of the Partner and end users across the product lifecycle. 

• Report to and work closely with the Lead Product Designer. 

What you'll be doing:  

• Partner with the Lead Product Designer and Head of Product to lead research projects that help shape product direction for the short and long-term.  

• Collaborate with Lead Product Designer, Head of Product, and Senior Product Manager to inform roadmaps. 

• Align research efforts with strategic business objectives and key results, and uncover insights for continuous improvement across the user experience. 

• Plan and conduct qualitative and quantitative research. 

• Lead generative discovery research and evaluative research for optimisation. 

• Develop and evolve research systems including UX metrics, segmentations, templates, and accessibility standards. 

• Strengthen recruitment processes and panel management for diverse participation. 

• Maintain and evolve the research & insights repository. 

• Triangulate insights with Data and Analytics, Market Research, Customer Experience, and Sales. 

• Deliver compelling and accessible storytelling of research insights. 

• Mentor Product Designers and cross-functional partners in user research. 

• Champion inclusive and accessible design practices. 

• Collaborate with Users Researchers to elevate research standards across the team. 

What you'll bring to the role:   

• Strong communication and storytelling skills, tailored to influence various audiences. 

• Expertise in qualitative and quantitative research methods, with strong analysis and synthesis skills. 

• Strategic thinking, able to balance user insights with business needs. 

• Empathy-driven relationship building with users, stakeholders, and cross-functional teams. 

• Curiosity and creativity in exploring new technologies and approaches, including the responsible use of AI in research. 

• Experience in scaling user research operations, frameworks and improving ways of working. 

• Strong advocacy for inclusive design and accessibility in research. 

• Passion for advancing user research as a practice and staying updated on industry trends. 

• Adaptability and flexibility in shifting priorities based on evolving needs. 

We're seeking an experienced Lead Product Designer to join our Experience Design (XD) team. 

The role:

• Lead, coach, and mentor a team of five Product Designers focused on our native apps. 

• Own the end-to-end design vision for the Rightmove app experience across iOS and Android. 

• Define and communicate a long-term direction for our apps that aligns with product strategy and influences roadmaps. 

• Collaborate closely with Design, Product, Engineering, and Commercial to shape the experience across Search, Move, and Home. 

• Remain hands-on where valuable – exploring ideas, validating assumptions, and setting standards for design craft. 

• Ensure consistent, scalable patterns across platforms and support the evolution of the design system. 

• Drive improvements to the native app experience, raising quality, performance, and adoption of reusable patterns. 

• Report to and work closely with the Head of Experience Design. 

• Hybrid –2 days per week in the Soho, London office and 3 days from home. 

What you'll be doing:

• Partner with the Head of Product, Engineering leadership, User Research, and other Lead Product Designers to make strategic decisions and shape the roadmap. 

• Lead discovery and generative research, using insights and data to understand user needs and drive decision-making. 

• Maintain a holistic, insight-driven view of the experience across core journeys. 

• Shape user journeys and app flows, creating concepts that clarify direction and drive alignment. 

• Raise design quality across UX, visual, content, and interaction design. 

• Champion inclusive and accessible design practices, ensuring standards are upheld. 

• Contribute to design system decisions and adoption across teams. 

• Represent XD within Rightmove and stay engaged with best practice and industry trends. 

• Support team hiring and recruitment when needed. 

What you'll bring to the role: 

• Experience designing and shipping native app experiences for complex products. 

• Experience managing and developing Product Designers with clarity, coaching, and support. 

• Curiosity and creativity in exploring new technologies and approaches, including the responsible use of AI in design. 

• Strong understanding of iOS and Android patterns, design languages, technical constraints and platform behaviours. 

• Ability to influence design direction through insights, evidence, and rapid conceptual thinking. 

• Leadership skills in recruitment and onboarding, providing clear direction
  and continuous feedback. 

• Excellent collaboration, effective communication and storytelling skills with leadership, stakeholders and peers, building trust and nurturing strong relationships. 

• A passion for continuous learning and development, with a proactive approach to enhance ways of working and collaboration, contributing to design operations for XD. 

• A strong grasp of design systems, interaction patterns and scalable frameworks. 

• Strategic thinking with commercial awareness,
  and experience balancing business goals with user value. 

• A proactive approach to evolving ways of working and improving cross-team delivery and collaboration.  

The role

As a member of the Experience Design team, you'll collaborate with user research and partner with product design to support people throughout their moving journeys on Rightmove.  

You’ll be a senior member of our small, centralised content design team, shaping connected experiences across the home-hunting, renting and owning. You’ll use and contribute to our Design System so patterns, language and behaviours stay consistent and aligned. 

Reporting to the Content Design Manager, you'll be based in our Soho London office 2 days a week, with occasional visits required to the Milton Keynes office. 

What you’ll be doing 

• Owning content design on key initiatives, shaping clear and connected experiences. 
• Holding responsibility for the clarity, coherence, and effectiveness of content across the experiences you shape.
• Sharing accountability for content quality, consistency and risk across product areas, providing senior judgement beyond individual delivery areas and mentoring CDs.
• Partnering closely with product design, research, and product to shape usercentred outcomes.
• Bringing clarity to complex problems and guiding teams towards confident, informed decisions.  
• Supporting wider teams through prioritised work and dropin guidance, helping to scale content design across the organisation. 
• Using your own research and analysis, across user and market insights, to guide teams, inform decisions, and challenge assumptions constructively.
• Working with product design and research to shape endtoend journeys where content and structure align across touchpoints.
• Defining and evolving content patterns and structures, contributing to our Design System.   
• Framing challenges and identifying opportunities early. 
• Facilitating alignment across product, design, research, and marketing.
• Championing accessible, inclusive content and embedding it in how we work. 

We’re looking for someone who 

• Has a passion for user experience andmaking the process of renting, buying, selling, and moving easier.
• Thinks analytically about user journeys and how content shapes behaviour. 

• Enjoys being a proactive, hands-on contributor and collaborative team player. 

• Brings a content design lens to any stage of the process: from user research, information architecture, user interface design, and embedding content strategically. 

• Manages their time comfortably to deliver on multiple defined problem spaces in a fast-moving, agile environment. 

• Balances the needs of multiple stakeholders to prioritise tasks and deliver to deadlines. 

• Communicates their decisions clearly and can talk through their logic. 

• Understands user behaviour and business success through qualitative and quantitative insights. 

• Experiments with language using user research tools to test and learn. 

• Proactively hunts out opportunities to impact
  a defined problem area. 

• Finds new and innovative ways to use generative AI to think, plan, and design faster and better. 

What you’ll bring to the role 

• Proven experience designing content within complex, multitouch-point journeys and product environments. 
• Strong information architecture skills, shaping clear structures, content models, and patterns.
• A track record of shaping product thinking through evidence and strategic framing. 
• Confidence contributing to and evolving design systems.  
• Skill in facilitating workshops and guiding teams to alignment. 
• Literacy in accessibility standards and inclusive design, with confidence applying both in practice.
• Experience mentoring or supporting other designers.
• A passion for user experience and for making the process of renting, buying, selling, and moving easier.  
• Experience in marketplace or multisided products, or curiosity to quickly build domain fluency.
• Curiosity and openness to new tools and techniques, including thoughtful use of AI to improve quality and efficiency. 

About Rightmove  

 
Our vision is to give everyone the belief they can make their move. We aim to make moving simpler, by giving everyone the best place to turn to and return to for access to the tools, expertise, trust and belief to make it happen. We're home to the UK's largest choice of properties and are the go-to destination for millions of people planning their next move, reading the latest industry news, or just browsing what's on the market. Despite this growth, we’ve remained a friendly, supportive place to work, with employee #1 still working here! We’ve done this by placing the Rightmove How's at the heart of everything we do. These are the essential values that reflect our culture, and include: 

• We create value…by delivering results and building trust with partners and consumers.   

• We think bigger…by acting with curiosity and setting bold aspirations.  

• We care deeply…by being real, having fun, and valuing diversity.   

• We move together…by being one team - internally collaborative, externally competitive.   

• We make a difference…by focusing on delivering measurable impact.   

We believe in careers that open doors and help our team develop by providing an open and inclusive work environment, offering ongoing training opportunities, and supporting charity fundraising events. 

And with 88% of Rightmovers saying we’re
a great place to work, we’re clearly doing something right!   

 If all this has caught your eye, you may well be a Rightmover in the making...   

What we offer:

• Cash plan for dental, optical and physio treatments   

• Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan   

• 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes   

• Hybrid working pattern with 2 days in office   

• Contributory stakeholder pension   

• Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life   

• Competitive compensation package   

• Paid leave for maternity, paternity, adoption & fertility   

• Travel Loans, Bike to Work scheme, Rental Deposit Loan   

• Charitable contributions through Payroll Giving and donation matching   

• Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more   

As an Equal Opportunity Employer, Rightmove will never discriminate on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity, and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that references the communities we serve.

Your impact 

As a Senior Security Engineer, you will architect and manage the security of our groundbreaking ML-based platform and High Performance Computing (HPC) infrastructure. This role requires a highly proactive problem-solver who enjoys a fast-paced environment and possesses the curiosity to dive into diverse technical challenges. 

You will act as a versatile, T-shaped engineer, overseeing security solutions from initial requirement gathering to final implementation. By combining deep technical know-how with strong collaborative skills, you will ensure our security posture evolves as quickly as our research, managing the end-to-end lifecycle of our defense systems.

What you will do

• Secure Architecture and Product Engineering: Participate in the design and perform security reviews of our evolving AI platforms and underlying HPC infrastructure.
• Infrastructure as Code (IaC) Security: Partner with our DevOps / SRE team to harden our cloud infrastructure and our network, ensuring security by design, automation and auditability through Policy as Code.
• Third Party Systems Secure Integration: Perform deep-dive technical assessments of third-party platforms, AI solutions, Cloud or SaaS providers and support secure integration or deployment.
• Secure CI/CD: Design and implement automated security controls within our CI/CD pipelines to ensure code is secure from commit to production without slowing down research velocity.
• Threat Modeling & Risk Assessment: Conduct proactive threat modeling and risk assessment, support teams in the implementation of remediation plan and audit expected outcomes.
• Incident Response: Act as a L2/L3 escalation point for the remediation of complex vulnerabilities and security incidents.
• Identity & Access Management: Implement our state-of-the-art Zero Trust framework, ensuring robust access control and consistent enforcement of the principle of least privilege.
• Risk Management and Compliance Automation: Bridge the gap between technical controls and regulatory requirements (GDPR, GxP, EU AI Act) by automating evidence collection and risk posture monitoring (CSPM).
• Security Tooling Development: Build or integrate custom internal tools that automate repetitive security tasks, shifting our operational load from manual toil to scalable engineering.
• End-to-End Solution Delivery: Manage the full lifecycle of security controls, from initial user needs analysis and requirements gathering to structured testing and phased implementation and communication, ensuring high-quality deployment followed by data-driven continuous improvement.

Skills and qualifications 

Essential

• Cloud Engineering Proficiency: Deep technical knowledge of cloud platform security (GCP preferred) including Network and VPC design, IAM policy construction, Cloud resources hardening and Cloud native security services.
• Analytical Risk Management and Problem Solving: Proficiency in assessing multi-faceted risks and decomposing complex security issues into manageable tasks and providing data-driven recommendations to stakeholders.
• Coding Skills: Ability to write small production-grade code (e.g. in Python) and to automate security tasks, build custom tooling, etc.
• DevSecOps Tooling: Hands-on experience with Infrastructure as Code (Terraform) and version control systems (GitHub) to manage security configurations.
• Container Security: Proven ability to secure containerized workloads (Kubernetes/Docker), focusing on image signing, runtime protection, and orchestration security.
• Network Security Fundamentals: Solid understanding of modern networking, including zero-trust architecture, encryption in transit (TLS/mTLS), and API gateway security.
• Identities and Access Management: Proficiency in implementing a state of the art IAM strategy both from an organisational and technical standpoints in a multi-tenant cloud environment.
• Collaborative Security Culture: Strong ability to support researchers in AI and Drug Discovery, leveraging excellent listening skills, to provide pragmatic advice that balances high-security requirements with business agility.
• Adaptability & Communication: Excellent soft skills with the ability to navigate an ambiguous, high-growth environment and explain technical risks to non-security audiences.
• Offensive Mindset: Strong understanding of the MITRE ATT&CK framework and the ability to think like an adversary to identify "blind spots" in our defense.

Nice to have

• AI/ML Security Interest: Familiarity with the unique security challenges of an AI first company and other common AI solutions such as LLMs.
• Regulated Industry Experience: Prior experience working in BioTech, Pharma where data integrity and regulatory compliance are paramount.
• Advanced Security Certifications: Holding industry-recognized credentials such as GSE, OSCP, CISSP or professional-level Cloud Security Engineer certifications.
• Application Security (AppSec): Experience with SAST/DAST/SCA tools and a strong understanding of the OWASP Top 10 vulnerabilities.
• Zero Trust Implementation: Past success in transitioning an organization away from traditional perimeter-based security toward a mature Zero Trust model.
• SecOps Maturity: Experience building or scaling a Security Operations Center (SOC) or a Modern Detection and Response (MDR) function.
• Collaboration Tool Mastery: Advanced experience securing and automating SaaS. In particular, Google Workspace, the Atlassian stack (Jira/Confluence), Slack.
• Bio-Pharma Experience: Prior exposure to GxP validation, clinical trial data protections, or the nuances of Lab-IT security.
• Privacy Engineering: Knowledge of PETs (Privacy Enhancing Technologies) like differential privacy or homomorphic encryption.

The SEO Manager sits at the intersection of content strategy and product visibility, working across traditional and AI search to ensure SharkNinja shows up wherever customers are looking. This is a hands-on, delivery-focused role responsible for improving organic visibility and revenue. The SEO Manager works closely with content, trading, product, and performance teams to make SEO a given, not an afterthought, using data to prove its value and translating performance into clear, actionable recommendations that connect directly to business outcomes.

Key Responsibilities

Traditional SEO

• Facilitate the implementation of our SEO strategy in the UK, recognising market specific nuances
• Optimise on-page elements, including optimising website content, meta tags, headers and internal linking structure
• Own the organic blog and informational content roadmap to build topical authority
• Identify content gaps through competitor analysis and search demand data
• Brief and work alongside copywriters and compliance teams to ensure content meets search intent and is legally sound
• Collaborate with the PR team and agencies to ensure we have a best-in-class link acquisition strategy
• Support DTC campaigns by aligning search strategy with copywriters, creative, and performance teams to maximise discoverability and impact
• Work alongside the Performance Marketing team to support the Paid Media leads in maximising cross-channel budget efficiencies
• Stay up to date with search engine algorithm changes and adapt strategies accordingly to maintain or improve rankings
• Advocate SEO best practices and the benefits of SEO to the wider team

Merchandising SEO

• Conduct out in-depth, localised keyword research to identify opportunities for existing categories, products and NPD
• Optimise core category and product pages to increase organic visibility and revenue
• Identify and address cannibalisation across pages and products
• Work with product teams and merchandisers to align on category structure and naming conventions
• Report on weekly and monthly performance against forecast and KPI’s
• Take a data-driven approach and continuously look for ways to optimise SEO performance, and where relevant, automate

AI Search & Future Readiness

• Structure product and category page content to win featured snippets, People Also Ask boxes, and AI Overviews
• Identify and optimise for question-based search patterns across all page types
• Monitor AI Overview appearances in Google Search Console and third-party tools
• Track where brand and product names appear (or don't appear) in AI-generated responses across Google, ChatGPT, Perplexity, and similar tools, flagging gaps and opportunities
• Stay current with emerging Generative Engine Optimisation (GEO) best practices and contribute to an internal testing framework
• Develop guardrails to ensure any AI informed content meets Google’s guidelines

Skills & Experience

Essential

• Hands-on SEO experience in an ecommerce or content-led environment
• An in-depth knowledge of content SEO best practice
• Confident use of Google Search Console & SEMrush
• Solid understanding of on-page optimisation and keyword research
• Familiarity with AEO practices: featured snippet targeting, People Also Ask, FAQ schemas
• Strong written communication skills - able to brief and edit content clearly

The role

We’re looking for a Business Development Representative, who will be the first point of contact for leading companies across Israel exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in UKI markets.

You’re welcome to work hybrid from London, England.

Your responsibilities will include: 

Territory & Account Penetration

• Collaborate with AEs to map and prioritize target accounts across UKI, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.

Inbound Lead Qualification

• Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.

Customer & Market Engagement

• Conduct qualification calls to uncover customer pain points, technical requirements, and budget.
• Represent Nebius at key European tech events, book on-site meetings, and follow up to maximize ROI.

Feedback & Continuous Improvement

• Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing.
• Monitor outreach metrics—open rates, reply rates, connect rates—and collaborate with Sales Ops to optimize cadences and scripts.
• Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.

We expect you to have: 

Language & Market Expertise:

• Fluent English is required, both written and verbal.
• 2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting UKI markets.

Technical & Sales Skills:

• Strong understanding of GDPR and local data-privacy regulations.

Soft Skills & Mindset:

• Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
• Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability.
• Collaborative team player comfortable operating in a hybrid office model.

It will be an added bonus if you have: 

•   Familiarity with HubSpot CRM and sales engagement tools such as Outreach.

Research Engineering (Machine Learning), London 

We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels.

Your impact 

This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.

Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.  

You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

What you will do 

Implementation & Optimisation:

• Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.

Experimentation & Evaluation:

• Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods. Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed)

Evaluation & Inference:

• Implement algorithms and software to analyse and evaluate the performance of AI models.
• Optimising performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack
• Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behavior.
• Developing specialised tools/frameworks/infrastructure to aid in the work above

Collaboration & Knowledge Sharing:

• Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.

Innovation & Impact:

• Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
• Ability to execute on independent engineering projects and software development towards research goals.

Skills and Qualifications

Essential

• PhD in technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development:
• Strong general engineering experience, as evidenced by exposure to one or more of:
• Software design / algorithms, especially for deep learning frameworks
• Modern ML frameworks such as JAX, PyTorch or TensorFlow
• Distributed systems and runtimes
• Compilers (e.g. XLA, Triton, CUDA, Pallas, …)
• Large scale model training and serving infrastructure
• Experience in navigating complex research codebases
• Databases and data processing pipelines
• Numerical methods, simulation, optimisation

• Strong fundamentals in mathematics, statistics, linear algebra
• Experience with the full ML research and development lifecycle.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.

About the Team

At Miro, design is intrinsic in everything we do. As a business we are on a mission to redefine how great work is done, and as a design team we aim to make that as easy and delightful as possible. We operate in a fast-paced environment and get to have a direct impact on the millions of users who rely on Miro to collaborate and create the next big thing.

As a part of our Product Design team, you will contribute to our design process, culture, and experience principles and set new standards for design quality.

Learn more about our design team and culture: https://miro.design

About the Role

Miro is looking for a Sr Product Designer to lead the design vision for our Engage product - Miro’s newest product, as well as our suite of facilitation tools that help teams run workshops, energise meetings, and make decisions together. Think Sticky Notes, Flip Cards, Spinner Wheel and beyond.

The successful candidate will have an exceptional eye for detail, and will be able to showcase best-in-class UI design in their portfolio. They'll be an AI-native designer - someone who doesn't just see AI as a feature, but as a fundamental shift in the product development process and ultimately, a massive opportunity.

This isn't just about refining a feature; it's about defining the future of how millions of people collaborate and work effectively together.

What you’ll do

• Define the North Star for Miro Engage. Articulate a product vision that challenges category norms and positions Miro ahead of where the market is going – not just where it is today
• Lead AI-first innovation. Explore how generative AI can fundamentally close the gap between early concept and working product – and bring the rest of the team with you on that journey
• Take an entrepreneurial approach to execution. Navigate ambiguity, build lean experiments, and treat Engage like your own product within Miro. You move fast and make considered bets
• Bring mastery of the design tool landscape. Create a best-in-class facilitation experience that rivals any competitor while maintaining Miro's signature ease of use, and considering how Engage fits across our wider suite of formats
• Drive cross-functional strategy. Partner with Product and Engineering to solve complex challenges around AI quality, feature discoverability, and the seamless transition between Miro's infinite canvas and format focus modes
• Raise the bar for design craft. Set the standard for design quality at Miro, mentoring other designers and contributing to the evolution of our design systems and internal tooling

What you’ll need

• 7+ years of product design experience, ideally in B2B SaaS or AI-focused roles
• A strong portfolio demonstrating both user impact and business outcomes – clear thinking, not just visual polish
• Exceptionally strong UI and interaction skills
• A demonstrated understanding of AI and AI-native design, with examples of how you've applied it in practice
• Experience working closely with Product Management and Engineering to ship complex, user-centred products
• Deep understanding of UX practices, information architecture, and user-centred design methodologies
• Strong written and verbal communication skills, with the ability to articulate the value of design across diverse teams

What's in it for you

We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.

Your impact 

As a Talent Partner at Isomorphic Labs, you'll play a critical role in our mission to revolutionise drug discovery through AI. You will be a key driver in:

• Building world-class teams: You'll partner with senior leaders to develop and execute talent acquisition strategies that attract top-tier talent across Your efforts will directly contribute to building high-performing teams that drive groundbreaking innovation.
• Shaping our future: You'll be responsible for finding and attracting the individuals who will help us achieve our ambitious goal of transforming drug discovery and finding cures for devastating diseases. The talent you bring in will be instrumental in shaping the future of medicine.
• Fostering an inclusive culture: You'll champion inclusion in our hiring practices, ensuring we build teams that reflect the populations we serve and foster a culture where everyone feels valued and belongs.
• Driving organisational growth: You'll contribute to Isomorphic Labs' rapid growth by efficiently and effectively scaling our teams with exceptional talent. Your ability to identify and secure top candidates will be essential to our success.
• Enhancing our employer brand: You'll act as an ambassador for Isomorphic Labs, creating positive candidate experiences that strengthen our reputation as an employer of choice in the competitive AI and biotech landscape.

What you will do 

• Partner with leaders: Act as a trusted advisor to senior leaders, offering a consultative approach to developing and implementing talent acquisition strategies that support our ambitious growth goals.
• Source and engage top talent: Utilise your expertise in sourcing and driving engagement with passive candidates to build robust pipelines for a variety of roles.
• Stay ahead of the curve: Continuously learn and adapt to the evolving technical, engineering, recruitment landscape, maintaining a deep understanding of industry trends and best practices.
• Embrace data-driven recruitment: Utilise data and analytics to inform your recruitment strategies, track progress, and drive successful outcomes.
• Deliver exceptional candidate experience: Ensure a positive and seamless candidate journey, from initial application to offer negotiation, including all associated administrative processes.
• Master talent sourcing techniques: Employ sophisticated sourcing methods, including social media channels, specialised online resources, and industry events, to identify and attract high-caliber candidates.
• Collaborate effectively: Partner closely with People Partners, Technical Program Managers, and hiring teams to ensure a cohesive and collaborative approach to hiring decisions and onboarding.
• Lead and contribute to projects: Take ownership of and contribute to various talent acquisition projects, such as employer branding initiatives, events and conferences, interview training, and reporting.

Skills and qualifications 

Essential:

• Depth of experience as a full 360 recruiter hiring for engineering employees in technical organisations. 
• You will have been responsible for the organisation and launch of candidate searches, as well as utilising all applicable resources to build initial lists of potential candidates.
• You have conducted in-depth research and provided guidance on hiring strategies in partnership with managers.
• Worked closely with technical stakeholders in Engineering departments. 
• You have managed highly sought after candidates through robust and thorough interview processes, prepping and guiding them as they progress.
• You build strong relationships with hiring teams and stakeholders, managing expectations, and providing insights for wider cross functional reporting.
• You’re a problem solver collecting and interpreting data, identifying alternatives when circumstances change and seeking out responsibilities beyond the ‘job description’.
• An efficient driver, you evolve and improve processes across the whole recruitment lifecycle whilst maintaining a high quality candidate experience.

Nice to have:

• Experience using Greenhouse
• Experience with G-suite

Who we are

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.

We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.

The role

As the Workplace Planning Lead, you will ensure our physical footprint advances in lockstep with our company growth, creating environments that empower our teams to deliver more, faster. You will guide the evolution of our global office footprint, addressing space needs and translating business growth into effective workplace planning and execution. Working closely with Workplace Managers, Real Estate partners, and leadership, you will facilitate choices related to office expansions, relocations, and consolidations, ensuring our offices support scaling at pace. This position represents the first global planning layer within the Workplace team and will help shape how our workplace function scales in the coming years.

The day-to-day

• Guide space transitions at pace across existing office locations and develop seat and capacity planning models aligned with headcount growth
• Forecast workplace demand across locations, defining workplace standards and seating strategies
• Facilitate and implement swift data-informed choices to support operational scaling
• Apply LLMs and AI-enabled workflows within a corporate real estate and operational context
• Coordinate real estate planning choices, such as lease renewals, expansions, or consolidations, and partner with Real Estate teams to evaluate footprint changes and location strategy
• Provide workplace data and capacity insights to inform lease negotiations
• Plan workplace requirements for new offices, relocations, and office closures, alongside workplace design and layout planning
• Coordinate facility setup with Workplace Managers to ensure smooth office transitions
• Develop occupancy metrics and dashboards to track workplace capacity across offices, design simple planning models to support leadership choices, and identify opportunities to optimise workspace utilisation

You should apply if you

• Have a proven track record in workplace planning, workplace strategy, corporate real estate, or facilities planning
• Have successfully overseen office expansions, relocations, or workplace transformations
• Possess excellent systematic and planning skills, with the ability to translate business growth into workplace needs
• Have collaborated across multiple office locations or global organisations
• Demonstrate excellent stakeholder collaboration and communication skills

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Hold a background in interior architecture or experience with space planning tools such as AutoCAD
• Have background scaling operations in high-growth or technology companies
• Communicate fluently in the German language

Join Helsing and work with world-leading experts in their fields

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns
• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world
• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward
• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts
• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options
• Relocation support: up to €2,500 and 4 weeks temporary accommodation
• Learning: €500/£450 yearly allowance
• Health & wellness: gym membership and mental health support (Nilo.health)
• Social: regular company events and monthly social allowances
• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers
• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations; there may be additional benefits in specific sites.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

About the Synthetic Chemistry, CMC and Logistics team

Our dynamic team of Synthetic Chemists and CRO Leads are dedicated to transforming drug design and manufacturing. We work in partnership with our AI/ML and drug discovery colleagues to support all phases of chemistry, from early to late stages, as well as managing our extensive external CRO team. We promote a supportive atmosphere where the diverse expertise of every team member is recognised and appreciated. We maintain a strong growth mindset, with continuous development and learning as a priority.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

Your impact

As part of the ongoing expansion of our Drug Design and Medical Research function, we are hiring Synthetic Chemists who are keen to impact medicinal chemistry projects and/or CMC projects. You will support the business alongside world-leading AI/ML Drug Design Platform teams. You will deliver scientific expertise and strategic direction to drive improvements in the Platform and the advancement of active drug discovery programs.

What you will do 

• Apply your Synthetic Chemistry expertise across Medicinal Chemistry and/or CMC projects.
• Act as a Synthetic Chemistry Lead in one or more active drug discovery programs.
• Collaborate both internally and with third party organisations, interacting within multidisciplinary teams to support the data-driven delivery of high quality scientific solutions to complex technical problems.
• Work cross-functionally with the Medicinal Chemistry, DMPK, Biology, and Technology teams.
• Represent the company externally, interacting with existing and prospective collaborators including Contract Research Organisations (CROs) and Contract Development & Manufacturing Organisations (CDMOs).
• Prepare detailed scientific proposals and reports to support new and ongoing programs.
• Embrace and champion our culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in Synthetic Chemistry, or a related technical field, or equivalent industrial experience.
• 3+ years’ professional experience in a Chemistry role, operating within a biotech, pharma or CRO setting. 5+ years' experience for more senior positions.
• Solid technical foundation in synthetic chemistry with previous experience operating independently as an individual contributor.
• Excellent problem-solving and decision-making capabilities applied to complex synthetic chemistry challenges.
• Experience of working with and closely managing CRO and/or CDMO resources.
• A genuine passion for drug discovery and enthusiasm for the potential of AI/ML to transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment.
• Track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

Your impact 

As the PKPD Lead, you will develop the quantitative pharmacology strategy of drug discovery projects to deliver high quality clinical candidates, whilst using and contributing to the optimisation of state-of-the-art computational and AI drug design models. As part of the DMPK and Quantitative Pharmacology team, you will champion the use of model-informed drug discovery and development on both small molecule and biologics projects. You will work closely with the Biologics Discovery team to further develop AI models for biologics developability.

If you are an experienced and ambitious scientist looking to play an active part in the AI-driven transformation of the pharmaceutical industry, joining Isomorphic Labs will lift you out of your comfort zone and provide an amazing opportunity for personal growth and development.

What you will do 

PKPD Lead

• Design and implement quantitative pharmacology strategies with an AI-first approach, from target identification to pre-clinical development.
• Provide scientific leadership and integrate PK and quantitative pharmacology strategies for biologics projects, within the broader project strategy. As a member of the project core team, you will collaborate closely with colleagues in Drug Design, Pharmacology, ML Engineering, and Preclinical and Clinical Development to resolve PK and PD challenges.
• Develop advanced PKPD models for biologics and small molecule projects in collaboration with the DMPK and Pharmacology Leads.
• Contribute to the choice of modality that is the most appropriate for each target. Develop the target molecule profile at the inception of the project.
• Integrate PK, PD and toxicological data to extract decision-making information through mechanistic and empirical models, including dose and safety margin predictions for biologics projects.
• Author PKPD sections of regulatory documents.

ML interactions

• Partner with Machine Learning colleagues to integrate PK and PD aspects of the drug design platform and identify, generate and analyse data from which to develop and improve predictive models.
• Identify state-of-the-art integration methods that could bring transformational benefits to our platform or ways of working.
• Support the development of the biologics developability platform by identifying high-throughput techniques to predict the PK behaviour of various biologics formats.

CRO interactions

• Since IsomorphicLabs outsource all wet-lab work to external vendors, you will maintain and develop close relationships with the CRO network to:
• Ensure high quality and timely data generation to support our portfolio projects.
• Leverage the scientific expertise of our external collaborators to enhance the team's impact.
• Oversee the delivery of data generation campaigns purposefully designed to support the development of AI-based developability models.

People

• Mentor junior members of the DMPK and Quantitative Pharmacology  team.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, or Chemistry or another relevant subject.
• 3+ years of related experience in the pharmaceutical industry.
• Experience as a PKPD Lead, solving PKPD-related problems in biologics projects with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing high quality quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling for biologics.

Nice to have:

• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery and development projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will support the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. You use your expertise in PBPK modelling to make data integration a powerful tool to accelerate drug design and preclinical development.

If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs now will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Define Iso’s PBPK strategy leading to fit for purpose models that drive drug design and accelerate accelerate preclinical development.
• Design and implement stage-appropriate development DMPK strategies with AI-first approach, integrate the quantitative pharmacology and overall project strategies.
• Design mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise molecule design and formulation based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 5+ years’ professional as a DMPK Lead, solving DMPK-related problems in preclinical development with a track record of working collaboratively to deliver regulatory-ready FIH packages.
• Practical experience in setting up automated PBPK workflows.
• Practical experience in using PBPK to support preclinical development.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology.
• Advanced knowledge of PK and PKPD modelling.
• Experience of partnering closely with Preclinical and Clinical teams.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the DMPK and Quantitative Pharmacology team

The DMPK and Quantitative Pharmacology team, part of the Preclinical Development group, accelerates the delivery of high quality drug candidates by developing innovative and creative AI-first solutions. By applying our domain expertise and through collaboration with the entirety of our world-class drug discovery disciplines and ML researchers, we ensure that drug-like properties are at the heart of our drug design engine. We shape the development of state-of-the-art ADME and toxicology predictive models. We rethink drug discovery from Hit ID to first-in-human (FIH) trials by optimising the context of use of these models.

Your impact

At Isomorphic Labs, DMPK Leads drive the DMPK strategy of drug discovery projects to deliver high quality clinical candidates whilst using and contributing to the optimisation of state-of-the-art computational and AI ADME models. 

As part of the Drug Design and Medical Research team and through close collaboration with the Technology teams, you will be supporting the business alongside world leading AI/ML Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to real drug design projects. 

If you are a skilled and ambitious scientist looking to take the next step in your career, joining Isomorphic Labs will lift you out of your comfort zone and provide you with an amazing opportunity for personal growth and development.

What you will do 

• Design and implement stage-appropriate DMPK strategies with AI-first approach, integrating quantitative pharmacology and overall project strategies.
• Design screening cascade and mechanistic experiments to support project progression in a data-driven manner.
• Integrate DMPK, PD and toxicological data to extract decision-making information, including dose and safety window predictions.
• Define Quantitative Pharmacology strategy in collaboration with Pharmacology Leads.
• Optimise the use of Iso’s datasets to address fundamental DMPK questions and advance the field.
• Optimise molecule design based on physico-chemistry and biotransformation knowledge in collaboration with Chemistry Leads.
• Maintain knowledge of state-of-the-art technologies and methods to increase confidence in human PK prediction.
• Author DMPK sections of regulatory documents.
• Embrace and champion a culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in either Pharmaceutical Science, Pharmacy, Chemistry, or another relevant subject.
• 3+ years’ professional experience as a DMPK Lead, solving DMPK-related problems in drug discovery with a track record of working collaboratively to deliver high quality candidates.
• Practical experience developing DMPK and quantitative pharmacology packages to support early clinical development, including authoring and reviewing regulatory documents, ideally in oncology or immunology.
• Experience of partnering closely with Preclinical and Clinical teams.
• In depth knowledge of biotransformation.
• In depth knowledge of PK modelling and scaling of ADME properties.

Nice to have:

• Experience with biologics, peptides and other new modalities.
• Advanced knowledge of PKPD modelling.
• Good understanding of machine learning techniques.
• Familiarity with Python and KNIME.

About the opportunity

Join Contentful as a Senior AI Software Engineer (f/m/d) and innovate with AI Integrations

At Contentful, we empower thousands of customers to manage content at scale with speed, flexibility, and precision. We are seeking talented Senior AI Software Engineers (f/m/d) to join our AI Platform team—a group dedicated to building and maintaining an internal AI platform that accelerates innovation across our organization.

As a key contributor, you will help shape the internal AI ecosystem by developing scalable, high-performance AI integrations, APIs, tools and documentation that empower feature teams to efficiently test, deliver and maintain cutting-edge AI-driven products. Acting as both a support and consultancy resource, you’ll collaborate closely with feature teams to enhance their development capabilities and bring AI-powered solutions to life. By building intuitive internal tooling and fostering seamless integration of AI technologies, your work will drive efficiency and innovation throughout Contentful.

If you are passionate about advancing AI technology, enabling teams with powerful tools, and redefining how we build and deliver AI solutions, we’d love to have you join us. Together, we’ll build systems that set new standards for AI integration and empower our teams to create smarter, more impactful content solutions.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class AI-enabled features for our customers, ensuring seamless integration of AI technologies with existing systems.
• Platform Development: Design, develop, and maintain scalable AI platform features using TypeScript and Node.js, to enable feature teams, while ensuring they are compatible with other services, and APIs.
• AI Integration: Implement and integrate AI technologies, such as generative AI, machine learning models, or NLP, to enhance our platform’s capabilities, optimize processes, and improve user experiences.
• Holistic Thinking: Think critically about the interactions between AI models and product components to ensure a cohesive and intuitive user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems, particularly related to AI performance, model integration, or data pipeline issues, to enhance customer satisfaction.
• Continuous Improvement: Participate in code reviews and contribute to improving our AI development processes, ensuring that the AI components are scalable, efficient, and maintainable.
• Stay Current: Keep up-to-date with the latest industry trends, particularly in the domains of AI and machine learning, ensuring the platform stays competitive by leveraging cutting-edge AI technologies.

What you need to be successful?

• API and Service Design: Proven experience in building APIs and services that efficiently handle large volumes of traffic. Deep interest in clean code practices and familiarity with enterprise architectural design patterns
• Serverless Architectures: Experience with serverless architectures, ideally edge compute environments such as Cloudflare Workers.
• Asynchronous Systems: Experience with building and maintaining asynchronous systems for automation and bulk use cases.
• Containerization and Orchestration: Experience with Docker and Kubernetes, especially in deploying AI models or microservices.
• Enterprise Solutions: Knowledge with implementing enterprise ready governance features such as RBAC, audit logging, and compliance frameworks. 
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP. Experience with services such as AWS SageMaker, Google AI, or Azure Machine Learning is a plus.
• Problem-Solving Skills: A natural problem-solver who brings forward innovative ideas to integrate and features within product workflows, leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to collaborate effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced, AI-driven environment, ensuring AI and software systems align with business objectives.

Preferred:

• AI and Machine Learning Expertise: Skills in integrating and implementing AI/ML solutions within a product development environment. Skills in foundational models, prompt engineering and understanding to validate the quality of AI products.
• Platform Experience: Experience in developing platform features to enable internal teams
• Full Stack Experience: Strong skills in TypeScript, React, and Node.js.

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

About the Opportunity

Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers.
At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team.

What to expect? 

• Measure and ensure the high-quality output of ML workloads for our enterprise customers.
• Design, build, and measure production software in the Contentful Platform.
• Conduct focused research and testing using tools like Jupyter Notebook.
• Optimize generative AI products for accuracy, speed, and scalability.
• Integrate ML cloud solutions and adapt them to our large-scale use cases.
• Integrate prompt engineering and fine-tuning for customer use cases.
• Develop software that scales to meet the demands of high-load customer workloads.
• Lead design reviews with peers and stakeholders to decide amongst available technologies.
• Drive the ML education in the team and establish a high standard of quality & ownership

What you need to be successful?

• Proven experience as a technical leader in a product software development environment
• Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads
• Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs
• Ability to organize and prioritize competing workloads
• Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP)
• Solid understanding of machine learning principles
• Experience with container frameworks such as Docker or Kubernetes
• Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth.
• Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest

Preferred:

• Background includes machine learning and AI implementation
• You can translate a research paper into a PoC if the code does not exist

What’s in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days,  education days, compassion days for loss, and volunteer days
• Time off to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team! As an AI Scientist, you will have prior experience in developing and implementing new deep learning methods while upholding a track record of AI Innovation demonstrated through publications in Artificial Intelligence/Machine Learning or projects applying them to interdisciplinary fields. You will be a crucial member of our core AI team, comprising highly creative and talented peers who are all experts in developing state of the art AI models. With your team, you will initiate and drive new projects that advance the SOTA AI models for biology impacting drug discovery and clinical development. You will also have the chance to work closely with interdisciplinary experts with world-class biology, drug discovery, and clinical expertiseWe welcome candidates with diverse backgrounds and experiences. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply.

The role is open to the following locations: San Francisco Bay Area, Seattle and London.

Key Responsibilities

• Completed (or within one year of completing) a PhD in an AI or AI-adjacent field.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Publications in journals or ML conferences.
• Public codebases or contribution to public GitHub repositories.
• Industry experience in an AI company, such as an internship or full-time position.
• Knowledge or experience in BioAI.
• Experience building and training neural networks.
• Experience training models across multiple GPUs.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $120,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

Xaira is seeking enthusiastic and motivated candidates to join our team as Research Engineers. We welcome candidates across the spectrum of experience. Teams thrive when they are diverse (across all axes), and we encourage all eligible applicants to apply. 

The role is based in our London office, located near Old Street. Our team is highly collaborative, operating on the belief that hard problems are best solved by multiple people working towards a clear goal, bringing and sharing their expertise with the team. We operate a hybrid working culture based on trust. Members of the team are typically in the office 3 days a week.

Key Responsibilities

• Industry experience as a research engineer, in an AI-related company.
• Excited to work, learn and teach within a collaborative team working on challenging problems.

Desirable

Below is a list of qualities/experiences that align with the kinds of things that we are looking for. Please do not read this as an extension of the “requirements” section! We recognise that experiences, opportunities and life-paths vary.

• Masters (or equivalent)/PhD in AI-related field.
• Public codebases or contribution to public GitHub repositories.
• Experience building and training neural networks.
• Experience in distributed training and inference.
• Experience profiling and optimising large-scale AI models.
• Knowledge or experience in BioAI.

If you are a motivated individual with a passion for applying AI to advance drug discovery and improve human health, we encourage you to apply and join us in our mission to make a positive difference in the world.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Your impact

As InfoSec Technical Program Manager, you will translate Isolabs’ security strategy into engineering reality. Reporting to the CISO, with a strong functional tie to the TPM Discipline Lead, you will operate at the critical intersection of risk management and research velocity. You will steer the InfoSec Roadmap, driving complex security initiatives—from protecting proprietary AI models to embedding Zero Trust architecture—across a fast-moving, highly regulated landscape. 

Going beyond traditional project management, you are a technical enabler who partners directly with engineering and ML teams. You will navigate architectural roadblocks, secure sensitive drug discovery pipelines, and ensure leadership has the data-driven, operational visibility needed to protect a pioneer in digital biology.

What you will do

• Structure and drive multi-quarter security project roadmap, balancing long-term strategic initiatives (e.g., Cloud Security, Platform IAM, Secure SDLC) with immediate business needs.
• Lead ad-hoc initiatives and high-priority business requests, such as securing sensitive regulated data transfers for drug discovery to architecting guardrails for novel Agentic AI workflows.
• Drive the end-to-end delivery of security projects by working hand-in-hand with engineers, navigating the complex Alphabet/Google Ecosystem, and ensuring high-quality execution.
• Educate and advocate for InfoSec across the business, acting as a “product manager” regarding InfoSec’s capabilities, assets, responsibilities, and SLAs.
• Build extensive and trusting relationships with engineers, researchers and leaders across the company. Act as the bridge between the business and security in order to provide balanced recommendations to the CISO and the TPM Lead.
• Design automated, data-driven dashboards that provide the CISO and engineering leaders with clear visibility into program health, operational KPIs, and risk reduction metrics.

Skills and qualifications 

Essential:

• Technical Credibility: Deep fluency across Security, Tech, and AI, allowing you to partner effectively with senior engineers and researchers.
• Strategic Execution: Proven track record of driving complex roadmaps from concept to delivery. You excel at navigating ambiguity and taking decisive action when scientific and financial stakes are high.
• Pragmatic Risk Management: Ability to make calculated trade-offs between security posture, technical debt, and research velocity without stalling innovation.
• Cross-Functional Influence: Exceptional ability to influence without formal authority, championing security as a core priority across engineering, ML, and business teams.
• Proactive Problem Solving: You anticipate architectural bottlenecks, untangle cross-team dependencies, and turn complex organisational friction into clear, actionable project plans.
• Translational Communication: Highly skilled at translating CISO’s objectives into technical requirements and condensing complex technical and organisational challenges into concise and actionable plans for leadership.

Nice to have:

• Domain expertise in highly regulated, data-intensive industries (Life Sciences, Pharma, Deep Tech).
• Hands-on experience navigating GCP and the internal Alphabet/Google ecosystem (on-corp)
• Engineering background with hands-on skill regarding Cloud Architecture, Zero Trust, IAM, and security observability.
• Familiarity with  InfoSec and AI Management Frameworks (ISO 27001, ISO 42001) and emerging AI security frameworks (e.g., OWASP Top 10 for LLMs, MITRE ATLAS).
• Industry-standard security or program management certifications (e.g., CISSP, CISM, CCSP, or Agile/Scrum methodologies).

Your impact

As a Senior InfoSec Specialist, you will be a cornerstone of our Governance Risk and Compliance (GRC) function, with a primary focus on securing our supply chain and third-party ecosystem. Reporting to the InfoSec Risk and Governance Lead, you will ensure that our innovative partnerships - from SaaS providers to Clinical Research Organisations (CROs) - meet our security standards. You will also play a key role in enhancing our ISMS and supporting secure business operations, including our drug discovery and clinical activities. Your work directly protects our organisation and ensures the right balance between business objectives and security is sustained.

What you will do

• Coordinate the third party security risk management lifecycle: execute the end-to-end third-party risk process, including initial intake, technical due diligence, risk-based tiering, ongoing monitoring, secure offboarding, and liaising with Legal and Finance teams.
• Perform detailed vendor assurance activities commensurate with their risk profile, ensuring alignment with legal, regulatory, contractual and policy requirements.
• Continuously develop and refine assessment methodologies to evaluate and audit vendors.
• Promote operational efficiency by building and maintaining third party security risk management dashboards and automating evidence collection to provide real-time visibility into the vendor risk landscape.
• Provide expert guidance to medicinal and ML research colleagues on complex risk topics, translating technical issues into clear business impact statements
• Support the InfoSec Risk and Governance Lead in improving and maintaining the Isomorphic Labs ISMS and other regulated and contractual data assurance requirements, including internal audit execution and control testing.
• Develop a unified GRC framework able to provide internal and external assurance for all relevant legal, regulatory, contractual and policy requirements.
• Coordinate, author and maintain security policies and processes, ensuring they reflect reality as well as meeting our legal, regulatory, and contractual requirements.
• Support the development of secure, lean pharma and clinical operations with an AI-first approach.

Skills and qualifications 

Essential:

• Capacity to prioritise critical inquiry over rote compliance - you must be able to critically think through risks and issues and provide timely, accurate and enabling advice suitable to the business.
• Ability to excel as an individual contributor with the agility and adaptability to quickly pivot between strategic to operational levels, and between widely differing contexts.
• Strong understanding of risk management with a proven ability to manage the full risk management lifecycle, from technical risk identification and analysis to presenting clear, business-focused mitigation options.
• Robust knowledge of information technology and cybersecurity, including cloud and ML-based environments.
• Experience leading internal and external assurance activities.
• Knowledge of relevant security and compliance standards (e.g. ISO 27001, NIST).
• Experience managing the security threats posed by a complex third-party ecosystem, including cloud providers.
• Demonstrated experience in life sciences, technology, or AI industries.
• Open-minded and innovative approach in meeting regulatory requirements, balancing compliance with the efficiency demands of ML-driven drug discovery.
• A natural ability to build credibility and influence decision-making across scientific, engineering, corporate and leadership functions to drive the security agenda forward.

Nice to have:

• A deep experience of the Pharma Industry and Drug Development process and ecosystem is a plus
• Experience in threat modelling.
• Interest in / experience of GRC engineering.
• Interest in / experience of Cyber Risk Quantification.
• Familiarity with AI-specific threats and security controls, such as those addressing model inversion, data poisoning, or adversarial attacks.
• Relevant certifications (e.g. CISA, CISSP).
• Experience automating evidence collection and control monitoring.
• Contribution to open-source security projects or participation in security communities.

Senior Engineering Manager, London 

Your impact 

Reporting directly to the Head of Engineering, you will be responsible for the strategic direction, execution, and operational excellence of our Platform teams, which are enabling training and serving of the largest foundations models in biotech. These teams include Technical Infrastructure, Machine Learning Platform, Site Reliability team and Developer Experience for Research. This is a highly influential role that requires a blend of deep technical expertise, strong leadership capabilities, and a passion for fostering a high-performance engineering culture. Your work has the potential to accelerate cutting edge research in the drug design space.

What you will do

• Define and execute the long-term vision and strategy for our foundational infrastructure, aligning with company goals and anticipating future needs.

• Lead, mentor, and inspire a diverse team of engineering managers and individual contributors across multiple disciplines (ML Platform, Tech Infrastructure, SRE). Foster a culture of innovation, collaboration, continuous learning, and accountability.

• Oversee the development and evolution of our core platform, ensuring it provides robust, scalable, and developer-friendly services for all engineering teams. This includes aspects like service mesh, container orchestration, CI/CD pipelines, and internal tooling.

• Lead the teams responsible for building and maintaining the underlying systems that power our user-facing applications, focusing on performance, reliability, and seamless user experiences.

• Guide the development and operation of the infrastructure supporting our prediction models, ensuring high availability, low latency, and efficient data processing for machine learning initiatives.

• Drive the strategy and execution for our core technical infrastructure, including networking, compute, storage, and data centers (on-prem and/or cloud). Optimize for cost, performance, and security.

• Champion and embed SRE principles across the organization. Oversee the SRE team responsible for ensuring the reliability, scalability, and performance of our critical systems through proactive monitoring, incident management, and automation.

• Establish and enforce best practices for infrastructure operations, including monitoring, alerting, capacity planning, disaster recovery, and security. Drive continuous improvement in system stability and uptime.

• Partner closely with product engineering teams, security, data science, and other stakeholders to understand their needs and deliver foundational solutions that accelerate product development and innovation.

• Evaluate and manage relationships with key internal partners to ensure optimal value and performance.

• Manage the budget for the Foundations Engineering organization, optimizing resource allocation and identifying cost-saving opportunities.

Skills and qualifications 

Essential:

• Experience in software engineering, with a significant portion focused on ML infrastructure, platform, or site reliability engineering.
• Demonstrated experience in a leadership role, managing multiple engineering teams and managers.
• Deep understanding of distributed systems, cloud architectures (AWS, Azure, GCP), and modern infrastructure technologies.
• Proven experience with running horizontal Platform Engineering teams
• Strong background in Site Reliability Engineering (SRE) principles and practices, including incident management, observability, performance optimization, and automation.
• Familiarity with data infrastructure and systems supporting machine learning/prediction models.
• Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
• Demonstrated ability to attract, hire, retain, and develop top engineering talent.
• Strategic thinker with a proven ability to define and execute complex technical roadmaps.
• Strong problem-solving skills and a data-driven approach to decision-making.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Nice to have: 

• Experience in a high-growth, fast-paced environment.
• Experience building and scaling infrastructure for Biotech, Life science ADD

About the Exploratory Sciences Team

Join our expanding Exploratory Sciences team, focused on tackling proteins which are critical for disease biology, but have been traditionally considered intractable. We are a small, multidisciplinary team within the Drug Design and Medical Research function at Isomorphic Labs. We work at the interface of machine learning, chemical biology and drug discovery to apply our platform to some of the toughest problems in drug discovery, and we collaborate closely with multiple teams across Isomorphic Labs. We have a strong growth mindset and prioritise continued development and learning as we hope to build the next generation of drug discovery scientists.

We are expanding and investing in our multidisciplinary Induced Proximity team within Exploratory Sciences, looking to recruit a number of talented scientists to drive projects towards the clinic. This role is for a Chemistry Lead, specialising in induced proximity. We're also willing to consider applications from those with PhD experience in molecular glue design and synthesis but no professional experience yet, as we plan to open junior positions within this team in the near future.

Your impact

As a member of the Induced Proximity team, you will deliver the development and application of a state-of-the-art induced proximity design platform. This will involve applying our platform in novel ways, and critically driving portfolio projects towards the clinic. You will need to design and execute on bold strategies to tackle problems that are currently considered impossible. Working alongside world leading AI/ML and Drug Design Platform teams. You will collaborate to deliver scientific expertise and strategic direction to drive both improvements in the Platform and apply this to unsolved drug design problems.

Ready to elevate your scientific career? Isomorphic Labs offers ambitious scientists a unique environment to tackle stimulating challenges, pushing your boundaries and accelerating your personal and professional growth. If you are a skilled and ambitious scientist looking to take the next step in your career, joining the Isomorphic Labs will challenge you with novel problems and provide an unparalleled opportunity for professional growth and development.

What you will do 

• Apply your knowledge of cutting-edge molecular glue design and synthesis to tackle long standing challenges in drug discovery.
• Utilise internal AI/ML models to solve challenging drug discovery problems.
• Collaborate both internally and with third party organisations, interacting within multidisciplinary teams to support data-driven delivery of high quality scientific solutions. This will require understanding the fundamentals of diverse disciplines including ML, Biology, Chemistry and DMPK, and communicating effectively with experts in those fields. 
• Represent the company externally, interacting with existing and prospective collaborators and contract research organisations (CROs).
• Prepare detailed scientific proposals and reports to support new and ongoing programs.
• Embrace and champion our culture of inclusion and continuous professional development.

Skills and qualifications 

Essential:

• PhD in Chemistry, or a related technical field, or equivalent experience.
• 3+ years’ professional experience in a Chemistry role, either operating within a biotech or pharma setting, or within a Post Doc position.
• Practical experience in the design and synthesis of chemical inducers of proximity/molecular glues, ideally with experience of applying these skills to active drug discovery projects.
• Broad knowledge of current chemical biology techniques.
• Experience of coding in Python, or a willingness to learn in-role.
• A genuine passion and enthusiasm for applying AI/ML to drug design and how this can transform the field.
• Excellent communication (written and verbal) and interpersonal skills, with an ability to work effectively in a cross-functional, collaborative team environment.
• A track record of creative problem solving with a strong growth mindset, adaptability, and eagerness to learn new concepts and techniques.

Nice to have:

• Experience working with or managing activities at contract research organisations (CROs).
• Experience of contributing to structure-based drug design (SBDD) problems.
• Experience of applying ML methods to Drug Discovery problems.
• Track record of authorship of relevant scientific manuscripts.

Your Impact

We are seeking a Senior Translational Oncologist to serve as a key scientific leader to develop and execute the complete translational strategy for our diverse oncology pipeline, spanning multiple therapeutic modalities. You will work in a deeply collaborative, interdisciplinary partnership with our Computational Biology, AI/ML, Drug Design and Clinical teams. In this vital role, you will also be expected to line manage a team of Biologists, driving projects from discovery through to early clinical development.

Your primary objective is to define the path to the clinic, and build the biomarker and patient selection strategies that ensure we get the right drug to the right patient, providing robust evidence that the target molecular profiles of AI-designed oncology drugs translate into desirable target product profiles.

What you will do

• Translational Strategy: Design, lead, and execute comprehensive translational strategies for our oncology portfolio, establishing a clear line-of-sight from preclinical validation to clinical efficacy.
• Oncology Model Implementation: Ensure Isomorphic labs is choosing and accessing the most appropriate state-of-the-art in vivo and ex vivo cancer models (e.g. PDX, tumour organoids, syngeneic models, and complex co-cultures) to rigorously test mechanism of efficacy, resistance mechanisms, patient stratification, and dosing regimens.
• Biomarker & PoC: Develop and implement robust biomarker and pharmacodynamic (PD) strategies, informed by in silico predictions, to secure early clinical proof-of-concept and guide patient selection in conjunction with Translational Medicine.
• AI/ML Partnership: Serve as the key oncology expert in a "computational-experimental" feedback loop. You will collaborate with Computational Biologists and ML Engineers to interpret in silico findings, design critical validation experiments, and integrate high-dimensional experimental data back into the AI platform to refine our models.
• Team Leadership & Development: Lead a small team of drug discovery scientists who are responsible for the biology strategy in oncology drug discovery projects. Provide scientific leadership and mentorship, fostering a culture of high performance, innovation, and rigorous scientific inquiry.
• Regulatory Contribution: Author and provide expert contribution to the translational and biomarker sections of key internal documents and external regulatory filings (e.g. INDs).
  
  
  

Skills and qualifications 

Essential:

• PhD in Oncology or Cancer Biology, or a related scientific discipline, or equivalent industrial experience.
• 10+ years’ professional experience in a pharmaceutical or biotech setting.
• Proven track record in translational science, pharmacology, and biomarker development within oncology.
• Deep, expert-level understanding of cancer biology, including oncogenic signaling pathways, the tumor microenvironment (TME), and mechanisms of drug resistance.
• Demonstrable success in building comprehensive translational packages (e.g. PK/PD, efficacy, and biomarker strategies) that have guided programs from discovery into early clinical development.
• Expert knowledge in developing and utilising innovative translational models (e.g. human ex vivo assays, complex in vivo models) to probe disease biology and drug response.
• Proven experience in a leadership role, specifically managing direct reports and leading biology or translational sub-teams from program inception to clinical candidate delivery.
• Strong understanding of the competitive landscape in oncology and current standards of care.
• Exceptional communication skills, with a proven ability to "speak the language" of both computational scientists and discovery biologists, fostering true interdisciplinary collaboration.

Nice to have

• Understanding of (and enthusiasm for) how AI/ML models are used in drug discovery.
• Experience with diverse therapeutic modalities, including small molecules, biologics (ADCs, bispecifics), or novel modalities.
• Proven drug discovery project leadership from target selection through to candidate nomination.

We are currently accepting expressions of interest from experienced: 

• Software Engineers
• ML Research Scientists
• ML Research Engineers 
• ML Engineers
• Computational Chemists
• Technical Project/Program Managers
• Or general applications.

Please note:

If you have previously registered your details we will be in touch if/when something suitable opens up - you do not need to reapply.

We are receiving huge levels of interest so our response may not be immediate, however, if a relevant role opens up, we'll be sure to reach out and connect. 

Thank you for your interest in Iso Labs!  

The Role

Neo4j GraphAcademy provides free, self-paced, hands-on online training paths for Developers, Data Engineers, and Data Scientists to achieve success with Neo4j.

We are looking for an enthusiastic Curriculum Developer to create engaging, hands-on online training courses, videos, and technical content that educate and empower Neo4j users of all experience levels.

You can view our existing course catalogue and get a feel for how we teach at graphacademy.neo4j.com.

Key Responsibilities

• Design and produce high-quality technical content (courses, videos, sample applications, diagrams) using existing Neo4j Documentation.
• Identify gaps in the course catalog, develop courses to cover them, and build clear learning paths for different graph use cases.
• Provide feedback on Neo4j offerings and course catalog to improve the user experience.
• Collaborate with the distributed Developer Relations, Marketing, Product Management, Solutions Engineering, and R&D teams.
• Be comfortable expressing complex subject matter clearly and simply, and working on camera.

Qualifications

• Must Haves:
• A background in education or technical writing.
• Able to demonstrate experience creating video content that uses visual aids to break complex content down into easy-to-understand content.
• Ability to research and develop training materials for users of all ability levels.
• An empathy for users and their learning experience.
• A strong command of the English language (writing and speaking).
• Experience working remotely.
• Nice to Have:
• Experience with Generative AI, Large Language Models, and GenAI frameworks.
• Experience with software development, databases, data engineering, or machine learning.

Specialities

We are seeking educators with expertise in one or more of the following domains. Candidates may have direct professional experience in the field or a background in technical education within these areas.

• Data Ecosystem Integration: Experience integrating or migrating data across major cloud platforms and data providers, such as Snowflake, Databricks, and Microsoft Fabric.
• Generative AI (GenAI): Deep expertise in GenAI, including building applications that utilize Retrieval-Augmented Generation (RAG) and Context Engineering principles.
• DevOps and System Administration: Experience in DevOps practices and administering large-scale systems.

So, what's the role all about? 

We’re looking for a German‑speaking Sales Development Representative (SDR) to join our high‑performing EMEA Sales Development team, supporting growth across the DACH region (Germany, Austria, Switzerland). 

In 2026, our SDR organisation is focused strongly on driving pipeline for NICE’s AI‑first solutions, with a primary emphasis on Cognigy— a recognised leader in Conversational and Generative AI across Europe. You’ll be the first point of contact for potential customers, introducing NICE’s AI‑powered technologies, uncovering their needs, and booking qualified discovery calls for our Account Executives (AEs). 

Working across a mix of inbound and outbound activity, you’ll research accounts, identify key stakeholders, and craft thoughtful outreach that opens doors and creates genuine sales opportunities. 

You’ll build expertise in the DACH market, develop personalised engagement strategies, and shape early‑stage conversations that convert into real pipeline. 

From day one, you’ll be supported by experienced mentors, structured training, and a team committed to your long-term success. 

How will you make an impact? 

• Drive high‑quality pipeline for NICE’s AI‑first product suite, particularly Cognigy’s conversational and generative AI capabilities. 

• Identify, contact, and engage key decision‑makers through multi‑touch outreach (email, phone, social, video). 

• Execute a balance of strategic outbound prospecting and inbound lead follow‑up to maximise pipeline generation. 

• Understand customer pain points and articulate how NICE + Cognigy deliver measurable value. 

• Build high‑quality discovery opportunities for AEs and ensure smooth, informed handoffs. 

• Document all activities, insights, and interactions accurately and consistently in Salesforce. 

• Meet or exceed monthly goals for discovery calls, qualified opportunities, and outbound productivity. 

• Collaborate with AEs, Marketing, and regional stakeholders to refine targeting and improve conversion. 

• Continuously develop knowledge of AI, automation, CX technology, and competitive positioning in the DACH market. 

• Use AI‑enhanced prospecting tools to increase efficiency, relevance, and impact. 

Have you got what it takes? 

• Fluent German and strong English communication skills. 

• Confident communicator, especially when engaging senior stakeholders. 

• Strong curiosity and the ability to uncover real needs through discovery. 

• Proactive, self‑motivated, and organised, with great time‑management skills. 

• Comfortable using CRM tools; Salesforce experience is a plus. 

• Driven by results, eager to grow, and excited about working in an AI‑driven sales environment. 

You’ll have an advantage if you also have: 

• Experience with Outreach, LinkedIn Sales Navigator, or similar prospecting tools. 

• Interest in or exposure to Conversational AI, automation, or CX technology. 

• Prior SDR, BDR, inside sales, or prospecting experience in SaaS or technology. 

What’s in it for you? 

This is a chance to build a career at the heart of Europe’s AI revolution. You’ll gain: 

• Hands‑on experience selling one of Europe’s most recognised AI platforms (Cognigy) 

• Deep understanding of conversational and generative AI use cases 

• A highly transferable and in‑demand skillset 

• Ongoing coaching, sales development training, and access to global best practices 

You’ll be part of a global team that celebrates growth, innovation, and bold ideas. 

Enjoy NICE‑FLEX! 

We operate a hybrid working model designed for productivity and balance: 

• 2 office days per week in Berlin for collaboration, teamwork, and face‑to‑face connection 

• 3 remote days for focus, flexibility, and personal efficiency 

Office days priorities collaboration, ideation, learning, and creating a vibrant team environment. 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 9834

Reporting into: Director - Sales Development 

Job type: Individual contributor.

#LI-Hybrid

So, what's the role all about? 

We’re looking for a German‑speaking Sales Development Representative (SDR) to join our high‑performing EMEA Sales Development team, supporting growth across the DACH region (Germany, Austria, Switzerland). 

In 2026, our SDR organisation is focused strongly on driving pipeline for NICE’s AI‑first solutions, with a primary emphasis on Cognigy— a recognised leader in Conversational and Generative AI across Europe. You’ll be the first point of contact for potential customers, introducing NICE’s AI‑powered technologies, uncovering their needs, and booking qualified discovery calls for our Account Executives (AEs). 

Working across a mix of inbound and outbound activity, you’ll research accounts, identify key stakeholders, and craft thoughtful outreach that opens doors and creates genuine sales opportunities. 

You’ll build expertise in the DACH market, develop personalised engagement strategies, and shape early‑stage conversations that convert into real pipeline. 

From day one, you’ll be supported by experienced mentors, structured training, and a team committed to your long-term success. 

How will you make an impact? 

• Drive high‑quality pipeline for NICE’s AI‑first product suite, particularly Cognigy’s conversational and generative AI capabilities. 

• Identify, contact, and engage key decision‑makers through multi‑touch outreach (email, phone, social, video). 

• Execute a balance of strategic outbound prospecting and inbound lead follow‑up to maximise pipeline generation. 

• Understand customer pain points and articulate how NICE + Cognigy deliver measurable value. 

• Build high‑quality discovery opportunities for AEs and ensure smooth, informed handoffs. 

• Document all activities, insights, and interactions accurately and consistently in Salesforce. 

• Meet or exceed monthly goals for discovery calls, qualified opportunities, and outbound productivity. 

• Collaborate with AEs, Marketing, and regional stakeholders to refine targeting and improve conversion. 

• Continuously develop knowledge of AI, automation, CX technology, and competitive positioning in the DACH market. 

• Use AI‑enhanced prospecting tools to increase efficiency, relevance, and impact. 

Have you got what it takes? 

• Fluent German and strong English communication skills. 

• Confident communicator, especially when engaging senior stakeholders. 

• Strong curiosity and the ability to uncover real needs through discovery. 

• Proactive, self‑motivated, and organised, with great time‑management skills. 

• Comfortable using CRM tools; Salesforce experience is a plus. 

• Driven by results, eager to grow, and excited about working in an AI‑driven sales environment. 

You’ll have an advantage if you also have: 

• Experience with Outreach, LinkedIn Sales Navigator, or similar prospecting tools. 

• Interest in or exposure to Conversational AI, automation, or CX technology. 

• Prior SDR, BDR, inside sales, or prospecting experience in SaaS or technology. 

What’s in it for you? 

This is a chance to build a career at the heart of Europe’s AI revolution. You’ll gain: 

• Hands‑on experience selling one of Europe’s most recognised AI platforms (Cognigy) 

• Deep understanding of conversational and generative AI use cases 

• A highly transferable and in‑demand skillset 

• Ongoing coaching, sales development training, and access to global best practices 

You’ll be part of a global team that celebrates growth, innovation, and bold ideas. 

Enjoy NICE‑FLEX! 

We operate a hybrid working model designed for productivity and balance: 

• 2 office days per week in Berlin for collaboration, teamwork, and face‑to‑face connection 

• 3 remote days for focus, flexibility, and personal efficiency 

Office days prioritise collaboration, ideation, learning, and creating a vibrant team environment. 

About Cognigy 

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages. 

Requisition ID: 9834

Reporting into: Director - Sales Development 

Job type: Individual contributor.

#LI-Hybrid

About Black Forest Labs

We're the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we're just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

You'll architect the financial planning backbone for a company scaling faster than traditional frameworks can handle. This isn't about maintaining existing budgets—it's about building planning processes, financial models, and decision frameworks that help leadership allocate resources in a market that's evolving in real time.

What You’ll Work On

You'll be the person who:

• Owns and drives the full planning cycle—annual operating plans, quarterly forecasts, rolling projections, and long-range strategic planning tailored to AI research timelines (spoiler: annual budgets don't work)
• Builds sophisticated financial models covering multiple revenue streams (API, Enterprise, Playground), GPU compute economics, headcount planning, and cash flow across US and German entities
• Delivers monthly and quarterly business reviews with variance analysis, KPIs, and actionable insights that support executive planning and board reporting
• Leads scenario planning for decisions most companies don't face: GPU provider contracts, go-to-market expansion, pricing frameworks, and R&D investment allocation where one breakthrough hire might 10x capabilities
• Partners with GTM leadership on revenue forecasting when your "pipeline" includes researchers, startups, and Fortune 500s with completely different economics
• Collaborates with Engineering on GPU compute optimization and infrastructure planning where the input is "we need more GPUs" and your job is figuring out how many, when, and from which providers
• Builds executive dashboards tracking what actually matters: ARR growth, customer cohort economics, gross margins, burn rate, and the relationship between model quality and infrastructure cost
• Designs scalable FP&A processes and drives automation across financial planning—working with Accounting to ensure data integrity and reporting consistency
• Supports high-impact strategic initiatives: pricing optimization, enterprise contract structuring, customer segmentation economics, and fundraising support

What We’re Looking For

You've built FP&A in high-growth environments where "best practices" are still being written. You're equally comfortable building three-statement models from scratch as you are explaining complex tradeoffs to non-finance stakeholders. You understand that perfect forecasts are impossible, but disciplined planning is essential. You move fast, think in systems, and know when precision matters versus when directional clarity is enough.

You likely have:

• 6-10 years in FP&A, corporate finance, investment banking, or strategic finance, with at least 4 years hands-on FP&A experience at a high-growth company
• Proven track record owning full planning cycles (annual budgeting, quarterly forecasts, long-range planning) at a B2B SaaS, AI, or technology company
• Advanced Excel/Google Sheets modeling skills—you build complex financial models from first principles, not templates
• Fluency in SaaS metrics (ARR/MRR, NDR, CAC, LTV, payback period, gross margin, Rule of 40) and ideally consumption-based pricing models
• Experience with modern finance tech stack and genuine curiosity about AI-powered finance workflows versus legacy systems
• Comfort with international operations, multi-entity financial structures, and US GAAP
• Ability to work with large datasets, perform deep variance analysis, and build dashboards that executives actually use

We'd be especially excited if you:

• Have experience with usage-based or consumption revenue models, API pricing structures, or GPU/cloud infrastructure economics
• Understand subscription economics alongside usage-based pricing in technical or developer-focused markets
• Bring exposure to enterprise contract structuring and technical sales processes
• Have worked somewhere that scaled 3-5x and had to rebuild planning processes mid-flight
• Are intellectually honest about uncertainty—you can say "here's what we don't know yet" without flinching

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

• Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
• Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
• Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
• Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

We're not just tracking expenses—we're building the financial architecture that enables a frontier AI company to make disciplined decisions at breakthrough speed. Every model you build gives leadership better visibility. Every process you implement accelerates decision-making. Every scenario you analyze shapes how we allocate resources between growth and efficiency, research investment and commercialization. If that sounds more compelling than optimizing existing budgets, we should talk.

Base Annual Salary: $165,000–$210,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

Who we are

The role

The day-to-day

Own Production Pathway:

• Ensure the design is production-ready from the start: design for manufacturing, design for assembly, design for test. Every design decision should answer the question: "can a technician build unit #37 the same way unit #1 was built?"

• Own design documentation, version control, and assembly instructions. The design isn't done when the prototype works : it's done when someone who wasn't in the room can build it from the documentation.

• Support supplier selection and qualification: know which components are available at volume, which need custom development, and which are single-source risks

• Drive the transition from "engineer-built prototype" to "documented, repeatable, production-ready build" across 40 units

Drive Integration & Testing:

• Work alongside the engineering team to integrate every subsystem: flight controller (FC Board), edge compute, hydrophone array, satcom, network router, sensors

• Coordinate with the Software Tech Lead on the on-glider software stack

• Set the test strategy from bench through tank, and open-water sea trials. Move fast: first prototype in weeks/months. This is a high-pressure environment with tight timelines. We need someone who thrives under that kind of pressure.

• Build, test, learn, iterate

Break Design Deadlocks:

• Bring UUV systems experience to the decision table. When the team faces competing approaches, use your knowledge of what works underwater: what's been proven, what fails at depth, what scales to production: to define the most functional path forward based on the information available

• Not waiting for perfect data. Not deferring because someone has more experience. Assessing the options, making the call, explaining why, and moving on

• The team has deep expertise across mechanical, electrical, and embedded domains: your job is to ensure that expertise translates into decisions and forward momentum, not further analysis

Close the Design:

• Work with the existing technical team to drive Helsing's Maritime products from concept to something that can be built. Support and build on the architectural decisions already made while closing the remaining design gaps across all sub-systems (eg. hull, propulsion, variable buoyancy system, power, etc.)

• Own tradeoff calls that span mechanical, electrical, and embedded software boundaries. Be ready to explain the rationale clearly enough that the team buys in and moves forward.

• Know when a design is "good enough" to build and when it needs more iteration. Ensure the team doesn't get stuck in endless decision/refinement loops

• Think about scaled manufacturing from day one, just to prototyping
  
  

You should apply if you

• Built, integrated, tested, and deployed complex electromechanical systems. Not academic/simulated/paper.

• Systems-level decision-making across mechanical, electrical, and embedded software

• Technical decisiveness: closes tradeoffs, explains reasoning, moves on

• Pace and learning velocity: operates at startup speed, ramps up fast in new domains

• Collaborative communication: runs design reviews, manages technical output, gets buy-in

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to Have

• Prototype-to-production experience

• Direct UUV, AUV, or underwater glider experience

• Buoyancy-driven platforms, underwater propulsion, or VBS

• Subsea comms (Iridium SBD), underwater acoustics, or edge compute (Jetson/similar)

• Defence or defence-adjacent programmes

• LARS and vessel operations

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regular company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

The day-to-day

• Manage and oversee key contractors to ensure delivery timelines and quality standards are met across UK projects

• Lead the end-to-end procurement of specialised technical hardware, such as hydrophones, ensuring sovereign control over critical components

• Establish and implement rigorous supply chain processes to ensure the UK entity remains audit-ready and compliant with defence industry standards

• Optimise and support the use of SAP (S4 HANA) for accurate data entry, reporting, and streamlined procurement execution

• Develop and execute a strategic roadmap for 2027, specifically focused on increasing the proportion of UK-based suppliers to enhance regional resilience

• Collaborate with engineering and finance teams to translate technical requirements into actionable sourcing strategies with quantifiable cost and lead-time benefits

• Identify potential supply chain bottlenecks and proactively implement mitigation strategies to maintain project momentum

You should apply if you

• Have successfully managed complex supply chains or procurement functions, ideally within high-technology or regulated industries

• Possess deep competency in using SAP (S4 HANA) to manage procurement workflows and data integrity

• Have built and implemented operational processes that have successfully passed formal internal or external audits

• Demonstrate the ability to manage external contractors and vendors to achieve specific technical and commercial outcomes

• Have experience sourcing specialised hardware or components and navigating the associated quality and logistics challenges

• Are a clear and professional communicator capable of mapping long-term strategic goals for supplier diversity and regional growth

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to Have

• Experience navigating UK defence procurement regulations or public sector compliance requirements

• Familiarity with the technical requirements of underwater acoustics or similar sensing technologies

• Experience scaling a supply chain function within a high-growth technology startup environment

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regularly company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers.

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role 

Collaborating closely with our dynamic team of product designers and engineers, you will play a pivotal role in shaping the foundation of frontend at Helsing. Embracing a hands-on approach, you'll not only lead by example, but also spearhead the development and expansion of a tight-knit team that works across a wide-range of internal teams and products. Your primary emphasis will be on enhancing usability, creating re-usable foundations for multiple front-ends and optimising the end-user experience across the entire company.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Own the user interface end-to-end, from early wireframes and prototypes through to performant, production-ready code. You'll work closely with product and UX colleagues to shape how users interact with our tools. We have relatively few frontend engineers at Helsing; this means that we operate at a high level of autonomy and there are plenty of opportunities for impactful work.

• Propose and implement new features, capabilities, tooling, visualizations, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Establish and evolve our React component library, ensuring consistency, reusability, and alignment with our visual design standards across multiple front-ends.

• Collaborate with others beyond your team and share knowledge with the wider frontend community at Helsing. Contribute to establishing our frontend engineering standards. Build or adopt tools that help enforce these standards, or make our frontend engineers more efficient in a different way.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller "let's learn together" groups, run topical office hours or reading groups (e.g., on React or TypeScript), etc. to help each other get better with time.

• Connect with, understand, and make changes to backend systems as needed. Our backends are primarily written in Rust, and you'll need to be comfortable navigating unfamiliar codebases to unblock yourself and improve integrations. Rust experience is not a prerequisite to this role, though - you can learn that over time as needed.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn't matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant frontend code - ideally using TypeScript and React.

• Are experienced with APIs and server-client communication like REST and GraphQL.

• Have experience with running a live production software.

• Are passionate about staying on top of current development best practices, libraries and frameworks.

• Are comfortable working with unfamiliar backends, ideally with some exposure to languages like Rust.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

Nice to have

• Significant recent experience with React.

• Familiarity with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers.

• Established understanding of modern JS bundlers, such as Vite, and experience maintaining frontend infrastructure.

• Experience with styling utility-class libraries such as TailwindCSS and building reusable React component libraries.

• Data visualization expertise (e.g., D3.js, custom charting, or complex dashboard design).

• Background in designing software for aerospace, defense, or AI end users.

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

At Helsing we develop and deliver AI-based capabilities and the enabling infrastructure that allow semi-autonomous platforms to localise, navigate, and perceive the world in real time. We build software that is subject to significant and unorthodox technical constraints, must operate in a wide variety of constantly-changing environments, and has to support an ever-growing list of challenging use-cases. What we build ultimately ends up in the hands of real people in high-risk, high-stress situations, so must be both reliable and frictionless. Taken together, this brings a whole host of interesting engineering challenges across a wide variety of fields that you’ll help us solve. To give some examples:

• Distributed systems (e.g., intermittent connectivity and byzantine actors)

• Embedded computing (e.g., resource-constrained compute and reverse-engineering)

• Robotics (e.g., control systems and tasking)

• Networking (e.g., long-range low-bandwidth radios and cross-medium routing)

• Deployment infrastructure (e.g., air-gapped devices and heterogenous fleets)

• Security (e.g., data sharing in low-trust, no-TLS networks and actually-secret data handling)

• Machine learning (e.g., systems for model development, storage, and dissemination)

In several of these areas, we are working near the state-of-the-art; we actively read (and sometimes implement) research papers, and often need to push even further to make theory work in practice. In others, we are applying well-known techniques to real-world situations (with real-world limitations) that have never been used in before, which requires skill, diligence, and honing a deep understanding of the underlying technologies.

The day-to-day

• Review code contributions, proposals, and RFCs from colleagues. At Helsing we strongly believe that unblocking others takes precedence over spending more time on your own work.

• Propose and implement new features, capabilities, algorithms, infrastructure, or even full products across our stack. We encourage our engineers to look beyond their immediate team for missed opportunities, and to speak up when they identify one.

• Become a mentor, find a mentee, and help support and develop our interviewing pipeline. The people make or break the company, and we want as many engineers as possible to be part of fostering and growing the organisation.

• Share your experience and technical know-how with other Helsingers. We host tech talks, get together for smaller “let’s learn together” groups, run topical office hours (e.g., on Rust), etc. to help each other get better with time.

• Maintain our existing software stack, including working with internal and external customers to identify issues, improving operational reliability and performance, and fending off technical debt. The stack is a mix of Rust and Python, with Python mainly living in the ML-heavy sections.

• Further develop our tests and benchmarks, both at the micro and macro level. We operate in a domain where robustness is of the utmost importance, and an extensive and ever-improving test suite is key to achieving that. And without thorough benchmarks, we would be flying blind.

• Present your work at our weekly demo sessions. We want engineers to come together around what they are working on and to feel like they are not endlessly squirrelling away at something that doesn’t matter. To that end, we host (and actively work towards) demo sessions that allow early feedback, celebration of progress, and a better shared understanding of everything that goes on at Helsing.

You should apply if you

• Can write legible, maintainable, and performant code.

• Communicate well in English, both verbally and in writing.

• Enjoy collaborating with others, including reviewing code and pair programming.

• Are comfortable working asynchronously (writing PRs and RFCs, having discussions by email).

• Have backend development experience, ideally with a language like Rust, Java, Go, or C++.

• Are familiar with backend interface tools like REST, GraphQL, gRPC/Protocol Buffers, and Arrow.

• Strive to improve yourself, your peers, and the culture you work in over time.

• Feel like ethical considerations are an inherent part of engineering.

Note: We operate at an intersection where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Nice to have

• Rust and Python specifically.

• Container-based and cloud-native application architectures (e.g., Docker, Azure, AWS).

• Metrics tooling (e.g., Prometheus, Grafana, ELK).

• SQL and streaming database systems.

• Routing protocols (e.g., IGP, BGP).

• Cryptographic protocols (e.g., Signal, WireGuard).

• Hardware interfaces (e.g., Arduino).

• Robotics (e.g., control systems).

• Production ML systems.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The role

The day-to-day

• Write compelling, on-brand copy for social media posts and advertising campaigns to amplify our mission

• Develop and execute creative concepts that resonate with target audiences and support overarching marketing objectives

• Manage content calendars and posting schedules across platforms including LinkedIn, Twitter, Instagram, and YouTube

• Monitor social media trends, track daily news, and adapt strategies swiftly to maintain relevance

• Analyse performance metrics and report on campaign effectiveness to identify opportunities for strategic growth

• Collaborate with design and marketing teams to produce high-quality visual content and manage paid advertising budgets

You should apply if you

• Demonstrate strong copywriting skills with the ability to adapt tone and messaging for diverse audiences

• Possess a deep understanding of social media platforms, content management tools, and advertising ecosystems

• Draw on a proven track record of using analytics and performance reporting to make data-led decisions

• Apply excellent organisational skills to manage complex content calendars and prioritise multiple campaigns effectively

• Utilise design tools such as Figma to collaborate on or create engaging visual content

• Create and edit multimedia content, including photo and video, to enhance digital narratives

Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about

What we offer

• Competitive salary and VSOP options

• Relocation support: up to €2,500 and 4 weeks temporary accommodation

• Learning: €500/£450 yearly allowance

• Health & wellness: gym membership and mental health support (Nilo.health)

• Social: regularly company events and monthly social allowances

• Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers.

• Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work

These are the core benefits across all locations, there may be additional benefits in certain locations.

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

Who we are

The Role 

Much of our work takes place in high-security on-premise environments, and we are looking for Site Reliability Engineer to support our high security environments.

Your role as a Site Reliability Engineer will be to design, implement, and manage our on-premise Kubernetes infrastructure.

We are looking for engineers with a strong work ethic and prioritisation skills. We value team players who communicate clearly, share knowledge generously, and collaborate effectively to move their team — and our mission—forward. 

The day-to-day

• As a SRE, you will design and build cloud-native infrastructure platforms on-premises, focusing on Kubernetes-based solutions that enable our development teams to operate services at scale.

• You will create robust observability frameworks using Grafana, Prometheus, and distributed tracing to ensure system reliability and performance

• You will architect and implement secure, multi-tenant Kubernetes clusters with strong access controls, policy-as-code governance, and zero-trust networking between red and black network domains. You will develop operators and controllers to automate infrastructure provisioning and compliance

• You will build and maintain MLOps platforms enabling AI researchers to deploy, monitor, and scale machine learning models in production.

• You will collaborate closely with our Security teams to implement supply chain security, container scanning, and runtime protection across our cloud-native stack

Key Skills 

• Scripting: experience in either Python, Go, Rust or Bash/ Shell for automation and tooling  

• Experience with GitOps workflows and CI/CD automation

• Kubernetes Expertise: deep experience operating production Kubernetes clusters, writing custom controllers/operators, and implementing service mesh architectures (Istio/Linkerd)

• Cloud-Native Technologies: hands-on experience with CNCF ecosystem, e.g. including Helm, ArgoCD, Flux and container runtime security tools like Falco

• Observability Stack: expert-level knowledge of Grafana, Prometheus, Loki, Tempo, and OpenTelemetry. Experience building custom dashboards, alerts, and SLI/SLO frameworks

• Networking: Expert understanding of networking concepts, protocols and security

• MLOps Platforms: experience with Kubeflow, MLflow, or similar platforms

• Infrastructure as Code: proficiency with Terraform, Ansible, and Kubernetes manifest templating. Experience with policy-as-code tools like OPA/Gatekeeper

• System Administration: deep understanding of Linux/Unix system administration and highly available, distributed systems

• Comfortable building out data and telemetry pipelines for debugging and future-proofing solutions

You should apply if you

• Have a high level of personal integrity, reliability, and attention to detail

• Have a software engineering mindset with a passion for building platforms and tools that multiply developer productivity

• Have experience running cloud-native workloads in on-premises or air-gapped environments

• Are willing to relocate to Munich, London, or Berlin.

Note: We operate at an intersection where women, as well as other minority groups, are systemically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications;  ability and impact cannot be summarised in a few bullet points.

Join Helsing and work with world-leading experts in their fields 

• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. 

• The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world. 

• Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward. 

• In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts.  

• We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about. 

What we offer

• A focus on outcomes, not time-tracking

• Competitive compensation and VSOP options

• Relocation support

• Social and education allowances

• Regular company events and all-hands to bring together employees as one team across Europe

• A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one 

Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.

At Sony Music Entertainment, we fuel the creative journey. We’ve played a pioneering role in music history, from the first-ever music label to the invention of the flat disc record. We’ve nurtured some of music’s most iconic artists and produced some of the most influential recordings of all time.

Today, we work in more than 70 countries, supporting a diverse roster of international superstars, developing and independent artists, and visionary creators. From our position at the intersection of music, entertainment, and technology, we bring imagination and expertise to the newest products and platforms, embrace new business models, employ breakthrough tools, and provide powerful insights that help our artists push creative boundaries and reach new audiences. In everything we do, we’re committed to artistic integrity, transparency, and entrepreneurship.

Sony Music Entertainment is a member of the Sony family of global companies.

Sony Music’s Product, Design, Engineering & Global Operations (PDEGO) team is seeking a Vice President of Engineering within our Content product team.