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

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.

Role Overview:

The Senior Director of Data Engineering & Services is a critical leadership role at Sony Interactive Entertainment (SIE), responsible for shaping and driving the data product strategy that powers intelligence across the company. This role focuses on designing, building, and scaling decision and AI-ready data assets that enable deeper, faster insights and drive data-informed decisions across Player, Creator, Publisher, and Enterprise experiences. It blends deep technical expertise with strong business knowledge, playing a key role in advancing SIE’s connected data ecosystem and enabling the next generation of intelligence and operational efficiency across the company.

You will oversee domain-focused data engineering organizations spanning Player Data, Partner Data, and Enterprise Enablement, driving a unified strategy for how SIE designs, builds, and scales its data products.

• In the Player Data domain, you will define how PlayStation’s player data ecosystem evolves—advancing unified attribution, identity and Player360, and trusted metrics that enable lifetime value modeling, next-best actions, causal measurement, and experimentation across player experiences.
• In the Partner Data domain, you will shape how PlayStation’s partner and creator ecosystem uses data through Partner360, secure data sharing, and self-serve analytics that provide insight into partner performance and lifecycle value—enabling insights that drive creator success, optimize publishing outcomes, and strengthen PlayStation as the preferred platform for partners.
• In the Enterprise Enablement domain, you will lead the strategy and execution of enterprise data capabilities that make SIE’s core functions—Finance, IT, Supply Chain, and HR—increasingly data-driven. Your leadership will ensure these functions operate with connected, governed, and intelligence-ready data, enabling better planning, forecasting, operational efficiency, and strategic decision-making.

What you'll be doing:

Strategic Leadership

• Define and drive the long-term data engineering strategy that powers SIE’s Connected Data Ecosystem — delivering trusted, high-impact data products aligned to strategic business priorities.
• Partner with business and product leaders to identify and deliver the most valuable data opportunities across Player, Creator, Publisher, and Enterprise domains.
• Ensure data engineering teams are building for insight velocity, reusability, and scalability, enabling faster and more informed decision-making across the organization.
• Develop a high-performance engineering culture built on quality, ownership, and continuous improvement across global data teams.

Data Engineering Excellence

• Lead the design, architecture, and execution of SIE’s connected data ecosystem, ensuring seamless integration across business domains and platforms.
• Deliver decision and AI-ready data pipelines and foundational datasets that power analytics, reporting, personalization, and operational intelligence.
• Establish and scale guidelines for data modeling, integration, processing, quality, lineage, and observability.
• Optimize for data usability, trust, and performance while managing cost efficiency and reliability at scale.
• Ensure all data engineering outputs meet enterprise standards for security, privacy, and compliance.

Multi-functional Collaboration

• Partner with Product, Analytics, and Business teams to understand data needs and translate them into scalable, high-quality solutions.
• Collaborate with AI/ML, BI, and Platform teams to ensure data assets are discoverable, governed, and integrated into analytical and operational tools.
• Work closely with Data Governance, Privacy, and Security teams to ensure responsible data use and compliance with regulatory frameworks.
• Drive adoption of data products by ensuring discoverability, documentation, and seamless integration into workflows and decision systems.

Innovation & Efficiency

• Lead initiatives to optimize data operations, improve pipeline efficiency, and reduce total cost of ownership across environments.
• Champion innovation in data engineering — advancing streaming, near-real-time, and event-driven architectures that improve agility and insight delivery.
• Partner with platform engineering to implement new capabilities that enhance data delivery and improve developer productivity.

What we're looking for:

Experience and Technical Expertise

• Proven experience building strong partnerships with product, business, and technology leaders to align on data strategy, accelerate delivery, and improve the strategic value of data across the organization.
• Extensive experience in data engineering or related fields, with deep expertise in designing, building, and scaling enterprise-grade data solutions that enable analytics and business intelligence.
• Proven track record of delivering high-quality, reusable, and trusted data assets that power decision-making across complex global organizations.
• Deep expertise in data architecture and modeling, with experience designing scalable ELT/ETL frameworks and distributed processing systems that support both batch and real-time workloads.
• Proven success in building and optimizing modern data platforms using technologies such as Databricks, Snowflake, and Kafka, with strong focus on data quality, lineage, observability, and reliability.
• Skilled in cloud-native data ecosystems (AWS, Azure, or GCP) and governance practices, ensuring performance, scalability, compliance, and trusted access through tools such as Alation and Collibra.
• Demonstrated ability to design and deliver domain-aligned data products
• Experience working across data privacy and regulatory frameworks, ensuring compliance while supporting global data operations.
• Proven leadership experience in building, mentoring, and growing high-performing global engineering teams, fostering a culture of inclusion, innovation, and accountability.
• Exceptional communicator and collaborator, capable of bridging technical depth and business impact.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field.

Benefits:

• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• Private Medical Insurance
• Dental Scheme
• 25 days holiday per year
• On Site Gym
• Subsidised Café
• Free soft drinks
• On site bar
• Access to cycle garage and showers

About the Role

The Airship Partnership team drives business relationships with leading technology vendors and agencies to jointly deliver high-impact customer engagement and expand Airship's presence across the MarTech ecosystem.

We are hiring a Technology Partnerships Manager for both our Americas and EMEA regions. You will be responsible for managing a portfolio of strategic ISVs (like Google Cloud, Twilio, Salesforce, and leading CDPs, Personalization, Analytics and other MarTech platforms) and driving revenue and market share by sourcing and influencing sales opportunities within your region.

This is a hands-on, high-impact individual contributor role. You will work in coordination with the VP of Global Partnerships and regional partnership leadership, who provide strategic direction and executive air cover, while you execute day-to-day partner development, activation, and co-sell motions. You will also be a key bridge between our partners and Airship's Sales, Product, and Marketing teams.

What You'll Do

• Build and execute a systematic co-sell motion: define playbooks, identify joint targets with priority tech partners. Foster collaboration with Airship AEs and enable partner sales teams to ensure Airship stays top-of-mind
• Drive Sourced & Influenced Revenue: Generate new pipeline through proactive outreach, joint solution positioning, and partner introductions. Accelerate existing deals by leveraging partner networks, providing critical deal help, intel, new contacts, and highlighting integration value
• Act as GTM connective tissue: Collaborate with Sales, Customer Success, Solutions Engineering, Marketing, and Product to align partner initiatives with Airship's GTM priorities
• Represent Airship: Attend partner events, technology conferences, and ecosystem forums, with a goal to generate and accelerate opportunities
• Track, report, and achieve partner-attributed pipeline and revenue goals, using market and partner intelligence tools (e.g., Crossbeam) to quantify impact and refine priorities
• Operationalize Tech Alliances: Lead the daily relationship, joint business planning, regular syncs, and QBRs with key tech partners (Salesforce, Google, Twilio, Movable Ink, etc.). Serve as the primary bridge between partner and Airship teams within your region
• Enable and Activate Tech Partners and Airship Teams: Train partner teams on Airship's value proposition and use cases. Develop and maintain joint assets (one-pagers, battle cards, integration briefs) to empower partners to independently refer opportunities. Ensure Airship teams are knowledgeable on all tech partners and serve as their primary interface
• Expand the Ecosystem: Identify and onboard new technology partners by assessing joint value proposition, customer overlap, technical fit, and strategic alignment with Airship's roadmap
• Drive Co-Marketing: Help Airship and partner Marketing teams develop joint content, co-branded campaigns, and event activations that amplify partner relationships
• Facilitate Product Collaboration: Work between Airship and partner Product teams to develop or enhance integrations and joint solutions that address customer and market needs. Encourage adoption by collaborating with Customer and Product Marketing teams

What We're Looking For

• 7–10 years of experience in technology partnerships, business development, or channel sales within the SaaS or MarTech industry
• Demonstrated track record of generating partner-sourced pipeline and/or influenced revenue in a quota-bearing or target-driven partnerships role
• Existing network of relationships with technology partners and platform vendors relevant to the MarTech ecosystem (CDPs, Marketing Clouds, cloud platforms, engagement and personalization ISVs)
• Strong commercial acumen and ability to connect partner activities to measurable pipeline and revenue impact
• Able to understand and articulate integration use cases, API-based workflows, and data flows in partner conversations without being an engineer
• Experience working cross-functionally with Sales, Product, and Marketing in a SaaS environment
• Excellent communication and presentation skills, with the ability to influence stakeholders at all levels both internally and with partners
• Experience experimenting with AI tools in your personal or professional life - or an eagerness to learn!

We'd Be Delighted If You Also Have

• Deep understanding of customer engagement, mobile marketing, or digital marketing solutions
• Previous experience at a high-growth SaaS company in the $50M–$300M revenue range
• Familiarity with partner intelligence and CRM tools (e.g., Crossbeam, Salesforce)
• Experience managing partnerships across multiple European markets
• Comfort working across time zones, cultures, and regulatory environments
• Familiarity with EMEA data privacy requirements (e.g., GDPR) as they relate to partner integrations and data-sharing arrangements

Work Location & Travel Requirements

Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones.

Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. 

This position is fully remote and may require up to 25% travel based for partner meetings, industry events, and field engagements or as requested by your manager.

Compensation

Base pay is part of the total compensation package and is determined by a variety of factors such as relevant skills, work experience, business priorities, market demands, and location. This role offers stock options, providing a direct opportunity to share in Airship’s success.

Benefits & Perks

• Medical insurance options for you and your dependents
• Flexible time off, paid holidays, paid parental leave, and paid volunteer time off 
• Support for your overall wellbeing with employer-subsidized mental health and employee wellness programs
• A digital-first work environment and a monthly stipend to support remote work
• Mentorship and growth opportunities to build skills and accelerate professional development
• And more!

Candidates outside of the U.S. can view Airship's Privacy Statement here.

**Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”.

Available Locations: London (hybrid), the Netherlands (remote), Paris, or Munich

About the Role

Cloudflare’s Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.
• Fluency in Hebrew and English

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

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 custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

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:

• Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
• Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems. 
• Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
• Contribute to core platform features designed to be reused across diverse international client use cases.
• Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.

Ideally you’d have:

• Bachelor’s degree in Computer Science or a related quantitative field 
• 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python,  Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
• Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
• Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
• A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
• Driven async communication methodologies to reduce communication frictions

Nice to haves:

• Past experience working in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape

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)

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’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 custom LLMs
• Upskilling and advisory services to spread the impact of AI

As a Full Stack Software Engineer (Forward Deployed), you’ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.

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:

• Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation
• Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.
• Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.
• Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.
• Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.
• Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally you’d have:

• Masters or Phd in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
• 10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
• Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.
• Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.
• A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.
• A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.
• Proficient in Arabic

Nice to haves:

• Past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role
• Experience working cross functionally with operations
• Proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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

About the Position:

We seek a highly skilled and motivated Sales Engineer to join our growing team. As a Sales Engineer, you will drive our growth by partnering with our sales team and engaging prospective customers. You will be the technical expert responsible for understanding customer needs, demonstrating the value of our platform, and ensuring successful deployments. This role requires a unique blend of deep technical expertise, exceptional communication skills, and a passion for solving complex cybersecurity challenges. The ideal candidate will be a customer-focused, results-oriented individual with a strong understanding of cybersecurity, particularly in application security and identity management.

 How You’ll Make an Impact:

• Provide Technical Expertise:
• Support the sales team with in-depth technical knowledge
• Conduct product demonstrations and training sessions for clients
• Engage with Customers:
• Understand customer needs and develop tailored security solutions
• Build and maintain strong client relationships
• Support Sales Efforts:
• Identify and qualify new sales opportunities
• Prepare compelling technical proposals and presentations
• Expand Product Knowledge:
• Stay updated on the latest security products and industry trends
• Share insights to enhance the team's knowledge and capabilities
• Ensure Seamless Implementation:
• Coordinate with the technical team for smooth solution deployment
  Provide post-sales support and troubleshooting to ensure customer satisfaction.
• Pre-Sales Activities: Lead technical pre-sales activities, including:
• Engaging with customers to understand their technical requirements and challenges.
• Delivering compelling product demonstrations and presentations tailored to customer needs.
• Managing and executing POC engagements.
• Effectively addressing technical objections and concerns.
• Evangelizing our value proposition to key stakeholders.
• Post-Sales Activities:
• Ensure successful customer deployments and provide ongoing technical support.
• Drive customer satisfaction and contribute to high renewal rates.

What makes you a good fit:

• Technical Expertise:
• Identity Management: Traditional IAM concepts (authentication, authorization, access control, User Directories), Identity Governance (Privileged Access Management, User Attestation).
• Cloud Platform Expertise: Deep expertise in at least one central cloud platform (AWS, Azure, GCP) and its security services.
• Cloud Security: Familiarity with cloud security best practices (CSPM, CASB, cloud infrastructure security).
• Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred).
• 6+ years of experience in cybersecurity, with a significant portion in customer-facing roles like Sales Engineering.
• Experience with SaaS solutions.

Why Join Oasis Security:

• Competitive compensation and equity package.
• Comprehensive health, dental, and vision insurance.
• 401K
• Opportunity to work on cutting-edge technology and significantly impact the cybersecurity industry.
• A dynamic and collaborative work environment with a strong focus on learning and growth.

If you are passionate about cybersecurity and want to make a difference in helping organizations protect their digital assets, we encourage you to apply for the Sales Engineer position at Oasis Security. Join us in our mission to empower businesses to thrive in a secure digital world. Apply now!

SLSQ427R253

As a Partner Solutions Architect for Europe, you will work with the technical and sales team members who work directly with our customers. You will develop 'technical champions’ within our top Partners, providing enablement on technical matters related to the Databricks product. Working with our partners, you will help our customers achieve tangible, data-driven outcomes through our Databricks Data Intelligence Platform, enabling data teams to complete projects and integrate them into their enterprise Ecosystem. As a member of our team, you will exercise and develop expertise in those areas, using open source projects such as Apache Spark™, MLflow, and Delta Lake, and major public cloud infrastructure and services. the product. You will use this expertise to become a trusted advisor to C&SI partners.

The impact you will have:

• Provide partners with the level of enablement they need to assist their clients in evaluating and adopting Databricks, including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem.

• Engage with the partner technical community by leading workshops, seminars, and meet-ups.

• You will be a big data analytics expert in architecture and design, and will share this knowledge with our partner network.

• Show expertise by producing creative technical solutions and blog posts.

What we look for:

• 8 years of customer-facing experience working with external clients or partners across a variety of industry markets

• Core strength in either data engineering or data science

• Experience demonstrating technical concepts, including presenting and whiteboarding

• Experience developing architectures within a public cloud (AWS, Azure, or GCP)

• Hands-on experience in SQL, Python, Scala, or Java

• Expertise in at least one of the following:

• Data Engineering technologies (Ex, Apache Spark™, Hadoop, Kafka)

• Data Warehousing (Ex, SQL, OLTP/OLAP/DSS)

• Data Science and Machine Learning technologies (Ex, pandas, scikit-learn, HPO)

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.

The Enterprise Infrastructure team is responsible for designing, operating, and evolving QRT’s global enterprise technology platforms. The team ensures the reliability, security, and scalability of core infrastructure services, including enterprise networking, that support corporate systems, identity platforms, collaboration tools, and shared technology services across regions. You will work closely with Infrastructure, Security, Workplace Technology, and Architecture teams.

Your Future Role within QRT
You will:

• Define and drive the enterprise network strategy aligned with firm-wide technology objectives
• Lead the design, implementation, and evolution of global enterprise network infrastructure (LAN, WAN, Wi-Fi, data centre, and cloud connectivity)
• Own network availability, performance, and resilience, including redundancy, failover, and disaster recovery capabilities
• Establish and manage network SLAs, SLOs, performance metrics, and incident response processes
• Drive automation across network provisioning, configuration management, and compliance
• Promote Infrastructure-as-Code and standardisation of network configurations across environments
• Partner with Security teams to enforce network segmentation, access controls, and secure design principles
• Collaborate with Application, Workplace Technology, and Architecture teams on connectivity and integration requirements
• Lead and mentor network engineers across regions, setting standards and best practices
• Manage vendor relationships, including network hardware, telecom providers, and service partners
• Oversee capacity planning, lifecycle management, and continuous improvement of network platforms

Your Present Skillset

• 10+ years’ experience in network engineering, including leadership responsibility in enterprise environments
• Strong expertise in enterprise networking technologies (routing, switching, TCP/IP, DNS, DHCP)
• Experience with WAN technologies, including MPLS, SD-WAN, and internet-based architectures
• Hands-on knowledge of data centre and campus network design (e.g., spine-leaf, high availability architectures)
• Experience with network security principles (segmentation, firewalls, VPNs, zero trust concepts)
• Familiarity with cloud networking (e.g., AWS, Azure, or GCP connectivity and hybrid network design)
• Experience with automation and scripting (e.g., Python, Ansible, Terraform) applied to network infrastructure
• Strong understanding of network monitoring, observability, and performance optimisation tools
• Proven experience operating global network environments with high availability requirements
• Experience working within regulated or controlled environments
• Ability to lead distributed teams and drive network transformation initiatives
• Structured, risk-aware approach to decision-making with strong ownership
• Clear communication skills and ability to engage with both technical and business stakeholders

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Role Summary and Impact

Join an award-winning team at the heart of UK government, where your work will genuinely shape lives. As part of WPP 650 you’ll be part of a supportive, collaborative environment that values curiosity, kindness, and growth. Together, we use behaviour change principles to design smarter services, influence better decisions, and help millions of people across the country.

Named WPP 650, after the 650 UK parliamentary constituencies, the name is a reminder that our work must reflect the full breadth of the country, every community, every audience. No two days are the same. The challenges are complex, the problems worth solving, and the learning constant. You’ll tackle issues that matter, alongside talented colleagues who care deeply about what they do. It’s demanding – but always rewarding.

This is meaningful work with real-world impact – the kind you can point to with pride.  

As a Senior Manager, Data Engineering you will be joining the WPP 650 division of WPP Media’s Data, Technology and Analytics team.

This role involves leading client projects and overseeing the strategic development of solutions that aggregate diverse data sources into a single, unified view. You will act as a subject matter expert and strategic for our Measure data platform – a unified system for data connection, ingestion, transformation, and reporting – built on a robust technology stack including Adverity, GCP, and PowerBI.

You will be responsible for the strategic design and delivery of robust, scalable data engineering solutions that power critical insights and analytics for our diverse client base.

You will be responsible for establishing best practices, quality assurance processes and ways of working that ensure the reporting solutions we deliver are consistently accurate and meeting the needs of our clients. Your core focus will be on partnering with our clients to deeply understand their strategic objectives and challenges. You will also be responsible for fostering a high-performing and collaborative team culture between your direct report, the WPP 650 BI team, and the wider business.  

Skills and Experience

Key Responsibilities

• In partnership with the Senior BI Manager, design, build, and implement robust data engineering solutions and data pipelines, high standards for data quality, reliability, and performance.
• Serve as senior technical liaison and strategic partner to planning teams, client stakeholders, and cross-functional departments, translating business specifications into precise technical requirements for implementation.
• Design and enforce robust validation and auditing processes to ensure the highest levels of data integrity, consistency, and reliability across all platforms.
• Oversee the development and maintenance of data pipelines and data models to power dashboarding solutions delivered via the Measure platform, taking ownership of advanced data model design, dashboard deployment strategies, innovation, and change management.
• Lead initiatives to identify, evaluate, and integrate new data sources and technologies to enhance the Measure platform's capabilities and drive continuous improvement.
• Mentor and guide your direct reports on BI best practices, advanced data modeling, Power BI development, data governance, and effective client engagement.

Essential:

• Experience in designing, architecting, and implementing complex data integration strategies, transforming disparate datasets into unified, high-value data models for advanced analytics and visualization.
• Extensive experience with cloud data platforms, specifically Google Cloud Platform (GCP) services.
• High proficiency in SQL for data manipulation, transformation, and analysis, with an emphasis on optimization and best practices.
• Demonstrated experience in designing, building, and maintaining complex and scalable data pipelines (ETL/ELT).
• Experience with data transformation tools like dbt.
• Experience working with data ingestion tools like Adverity.
• Deep understanding and practical application of data modeling techniques.
• Extensive experience working with digital marketing, media campaign data, ad serving technologies, and/or web analytics data, with the ability to guide a team in this domain.
• Excellent communication, interpersonal, and stakeholder management skills.
• Strong strategic thinking, project management, and problem-solving abilities, with a focus on delivering impactful, high-quality solutions.

Desirable:

• Experience working with dashboarding tools (PowerBi preferred)
• Proficiency in a scripting language like Python.
• Exposure to CI/CD practices for data pipelines.
• Experience with project management tools such as Jira and Confluence.
• Basic understanding of data governance principles.

Life at WPP Media & Benefits

Our passion for shaping the next era of media is powered by our commitment to Be Extraordinary, investing in our employees to inspire transformational creativity. We also Lead Optimistically, firmly believing in and Championing Growth and Development for every individual. This commitment allows WPP Media employees to leverage the extensive global WPP Media & WPP networks to pursue their passions, build vital professional connections, and learn at the cutting edge of marketing and advertising. 

We Create an Open environment built on trust and respect, where everyone feels they belong and has opportunities to progress. This inclusive culture is fostered through a variety of employee resource groups and frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our comprehensive benefits package reflects this commitment, including competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days. 

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We believe the best work happens when we're together, fostering creativity, collaboration, and connection in this open and supportive environment. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

Location: London / Hybrid (2 days a week in the office) 
Reporting to: Platforms Engineering Manager

The role 

As a Platform Engineer in our Cloud Foundations team, you will play a crucial role in designing, implementing and maintaining our cloud infrastructure on Google Cloud Platform (GCP). You'll be responsible for ensuring the scalability, security, and reliability of our cloud environment, enabling Rightmove to deliver innovative solutions efficiently and cost-effectively. This is a team focused on setting standards rather than fighting fires, defining cloud governance, controls and guardrails so developers can deploy confidently on a secure, audited platform. You’ll work closely with database engineers and the security team, shaping cloud foundations and helping developers understand how the platform works; from Kubernetes through to core cloud concepts. The role balances building and evolving the platform with light-touch support, handling rare incidents, and focusing on making the platform more resilient for the future.

For a glimpse into the technical make-up of the UKs favourite property portal works, head to our tech blog.

• Designing and building secure, scalable cloud infrastructure on GCP that supports our products as they grow
• Helping move legacy and on‑premise workloads into the cloud, and improving things along the way
• Automating how our infrastructure is built and managed using Terraform, so we can move faster and more reliably
• Running and evolving our container platforms using GKE and Helm
• Shaping how our cloud networking works, including load balancing, CDNs, API gateways, and service mesh
• Making sure our platforms are secure, resilient, and aligned with cloud security best practices
• Setting up and maintaining monitoring, logging, and observability so issues are easy to spot and fix
• Keeping an eye on performance and spend, and finding smart ways to optimise both
• Digging into complex infrastructure problems and working with others to resolve them

• Hands‑on experience working as a cloud infrastructure engineer, ideally with a strong focus on GCP
• Confidence using Infrastructure as Code, especially Terraform
• Experience building and running containerised workloads using Docker and Kubernetes (GKE)
• Exposure to service mesh technologies and how they support modern platforms
• A solid understanding of networking and how it all comes together in the cloud
• Experience using CI/CD pipelines (such as GitLab CI) to deploy and manage infrastructure
• Comfort working with at least one programming or scripting language in an infrastructure context
• Experience with secrets management, monitoring, logging, and observability tooling
• A good grasp of cloud security principles and compliance considerations
• Practical experience optimising cloud costs and using resources effectively

It’d be great if you also had (but it’s not essential):

• Experience with event‑driven or microservices architectures, such as Pub/Sub or Kafka
• Exposure to tuning or operating search or data platforms like Elasticsearch
• Familiarity with serverless concepts and when they make sense
• Experience improving infrastructure performance and reliability
• An understanding of AI/ML infrastructure needs on GCP
  

Our approach to AI: 
At Rightmove, we believe software and product are ultimately people problems, and everything we build aims to improve the lives of others. We see AI as a helpful way to create more space for the human side of our work, from understanding real needs to making sure we are solving the right problems in the right way. There is an expectation that you are proactive in exploring how AI can support your own workflow and productivity, and that you approach it with curiosity and an open mind.

Role: Data Engineer

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Data Engineering

The Role

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers.

You’ll be joining our growing Data Engineer & Infrastructure team - a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site.

This is a hands-on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient.

You take pride on executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our Products across the entire business.

This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day.

What You’ll Be Doing

• Build and manage data pipelines that ingest, transform, and serve data across the business
• Contribute to the design and implementation of cloud-based infrastructure using Terraform
• Work on complex data challenges, balancing short-term delivery with long-term platform evolution
• Collaborate with data product owners and stakeholders to collect and refine data requirements
• Optimise data storage, infrastructure performance, and cost within our data platform
• Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
• Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
• Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
• Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
  
  

We're Looking For Someone Who

• Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
• Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
• Has strong Python coding skills and is confident writing complex SQL queries
• Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
• Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
• Experience with dbt and understands data modelling principles and best practices
• Deep understanding of data storage, modelling, and orchestration concepts
• Has demonstratable experience setting up and managing data pipelines end-to-end
• Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Experience working with version control (Git) and CI/CD practices
• Awareness of data quality, privacy, and security best practices
• Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines

The role 

The role will involve working across a range of areas to support the information security needs of a busy, high-profile website, as well as an administrative IT environment that supports nearly 1,000 people across 3 office locations with many remote workers. As well as working closely with the other members of the Information Security team, the role will also require extensive engagement across other teams across Rightmove (including IT, Engineering etc.) to ensure security objectives are being met, incidents are being responded to effectively, and our security stance remains strong.  

What you’ll be doing 

• Providing technical leadership and acting as a subject matter expert on information security best-practice. 

• Planning and delivering projects to achieve our information security objectives. 

• Collaborating with the IT Infrastructure team on the security elements of migrating Windows estate into Azure.  

• Advising our website platforms teams on security considerations impacting our website hosting environment in Google Cloud Platform & GKE. 

• Working with team members and service providers on SIEM and XDR tooling and establishing processes and playbooks to support incident response and SOC activities.  

• Playing a leading role in managing incident response activities and engaging with third party DFIR specialists where necessary.  

• Leading threat hunts to proactively discover potential compromises before they lead to bad security outcomes. 

• Working with team members and external partners on penetration tests and red team engagements to assess our security posture, along with our detection and recovery capabilities. 

• Helping to evaluate our response to regulatory/legislative requirements and recommending improvement actions where necessary (e.g. FCA compliance, ISO27001, PCI-DSS, GDPR etc). 

• Keeping up to date with cyber threat intelligence and emerging attack vectors, always evaluating the materiality of the threat to Rightmove and helping shape our response. 

• Coaching and developing your people, with regular 1-to-1s and continuous feedback. 

• Supporting your team members by actively removing blockers

We’re looking for someone who 

• Has a passion for Information Security and understands how this is embedded into an organisation. 

• Can manage their own workload, making decisions on what tasks need to be prioritised. 

• Is confident to communicate and collaborate with internal and external stakeholders, either individually or in group settings, and across a variety of levels of seniority and technical understanding. 

• Can reach decisions, even if they are difficult, and is able to provide a clear explanation of the rationale and approach taken. 

• Can be trusted to keep confidences, and displays a high level of professional integrity. 

• Follows through on commitments and can be relied upon to get things done. 

• Is proactive, hands-on and wants to make things better. 

What you’ll bring to the role 

• Minimum of five years working in a technical security-based role.  

• A high-level Security qualification such as a CISSP, SANS Cyber Defence, EC-Council Certified Security Analyst, OSCP etc. 

• Professional experience in three or more of the following areas (and a willingness to learn about the others): 

• Securing Windows, Active Directory and M365 environments 

• Linux security 

• Container security 

• Cloud security (ideally in GCP and / or Azure environments) 

• Microsoft 365 security (including Defender, Purview etc.) 

• SIEM, SOAR and EDR / XDR systems  

• Incident Response. 

• Strong understanding of networking principles including TCP/IP, DNS etc. and commonly used Internet protocols such as SMTP, HTTP etc. 

• Experience working in IT security in a cloud hosted environment.  

• Good data processing skills – experience with Google SecOps, ELK, Splunk or similar would be beneficial  

• Report writing and note taking skills.  

• Ability to prioritize both operational and project demands. 

• Line management experience. 

• Ability to handle high pressure situations in a productive and professional manner.

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.

MongoDB is transforming the $138B+ data management software market by empowering developers to build the next generation of applications. As the leading modern data platform—and the first database company to IPO in over 20 years—we're at the forefront of innovation. Through MongoDB Ventures, we invest in the most exciting companies solving real problems for developers and data practitioners, from GenAI infrastructure to tools that accelerate app development and deployment.

We’re looking for a highly creative, entrepreneurial, and organized Sr. Manager, Startup & Ventures Marketing to expand MongoDB’s AI-native marketing strategy and strengthen our presence across the startup and VC ecosystem in London.

This role combines strategy and execution, with a focus on ecosystem engagement, community building, and scalable startup programming. You will help strengthen MongoDB’s presence among high-growth, venture-backed startups across London by building relationships with founders, venture capital firms, accelerators, and startup communities. In partnership with the broader startup marketing team, you will design and execute programs, events, and partnerships that increase awareness, adoption, and long-term affinity for MongoDB within the startup ecosystem. As a regional representative for MongoDB, you will support the planning and delivery of startup-focused initiatives such as hackathons, demo nights, founder dinners, and conference-adjacent activations. This role sits at the intersection of partnerships, community, events, and content, and requires someone who is equally comfortable shaping ideas and driving hands-on execution.

We are looking to speak to candidates who are based in London for our hybrid working model.

Position Expectations

Serve as the MongoDB representative within the London startup ecosystem: Build and maintain strong relationships across the London startup community, including founders, operators, VCs, accelerators, and key ecosystem partnersDrive high-value startup acquisition: Develop and execute a targeted strategy to engage and convert high-potential startups in the region into the MongoDB for Startups programExpand MongoDB’s physical presence in the London: Develop and execute a regional event strategy focused on high-impact founder programming, including VC-partnered events, demo days, hackathons, founder dinners, and other community activationsPartner with startups to highlight success: Work with internal teams and startup customers to surface and develop compelling stories showcasing startups building on MongoDB

• Own cross-functional alignment for the regional startup audience: Collaborate with teams such as MongoDB Ventures, Revenue Marketing, Strategic Events, and DevRel to integrate startup-focused programming and ensure regional initiatives effectively reach founders and developers
• Measure impact and continuously optimize: Monitor and track success metrics for startup engagement, such as attendance quality, funded-founder participation, and program applications, and use insights to refine strategy and programming

The right candidate for this role will be:

• Have 6+ years of experience in marketing, community, ecosystem, or events roles focused on startups, developers, or technical founders
• Have experience leading projects or programs and collaborating across teams, with the ability to drive initiatives from strategy through execution 
• Possess familiarity with the London startup ecosystem, ideally with relationships across founders, VCs, accelerators, and key founder communities
• Have experience working in or closely with startups or venture capital firms, with a solid understanding of how early-stage companies operate and grow
• Thrive in fast-moving environments, helping build and scale programs, partnerships, and community initiatives
• Be highly organized and execution-oriented, able to manage multiple initiatives and stakeholders while delivering high-quality programs
• Be data-driven, able to track key engagement metrics and communicate the impact of regional initiatives
• Communicate clearly and confidently with founders, investors, and senior internal stakeholders
• Operate with a high degree of ownership and initiative, collaborating with a globally distributed team while maintaining an active presence within the London startup ecosystem

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: 426256

About The Role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in London for our hybrid working model.

About The Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize  deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp,
  sophisticated sales training, and leadership and development programs 

What you will bring to the table

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive
• Possess a strong desire to be successful 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus
  

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 nearly 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: 425560

MongoDB and Customer Success

MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere, on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, leading organizations like Samsung and Toyota, and AI innovators such as Delivery Hero and LG U+, trust MongoDB to build next-generation, AI-powered applications.

Our Customer Success team is the linchpin of the post-sales customer relationship. By combining deep business and technical savvy, Customer Success keeps MongoDB at the center of our customers’ technology strategy, and ensures every customer can realize the full potential of their investment.

Senior Customer Success Manager

The Role

As a Senior Customer Success Manager, you are a highly experienced advisor helping customers navigate their most complex journeys on MongoDB. You’ll be responsible for maximizing customer lifetime value and success for a portfolio of Enterprise (G2000) accounts, acting as a lead strategic connector between your customers and cross-functional resources to achieve high-stakes business goals. You’ll drive customer retention, revenue realization, and long-term advocacy while mentoring team members to elevate the organization's collective impact. You’ll build deep relationships with senior stakeholders, understand intricate technical environments inside and out, and navigate global account teams to deliver measurable impact in high-pressure scenarios.

Key Responsibilities

Customer Advisory

• Proactively identify and mitigate risks in accounts with significant technical complexity by advising on advanced operational strategies and best practices. Deliver cross-disciplinary solutions to critical customer challenges, accelerating time-to-value and guiding to achieve their business goals through their MongoDB deployments.
• Conduct comprehensive customer business reviews for Enterprise accounts, analyzing technical health and risk while translating insights into business-critical outcomes. Partner with senior technical and business leaders to align on objectives and champion mutual success plans that foster long-term advocacy.

Account & Portfolio Management

• Drive cross-functional development of account strategy and take ownership of elements that drive customer maturity, lifetime value, retention, and revenue realization. Proactively manage a diverse portfolio of Enterprise customers across various stages of the journey, creating and executing strategies to maximize value realization, advocacy, and long-term success.
• Track and report progress against key business outcomes, demonstrate control of the forecast by providing informed predictions to senior leadership for business predictability, and identify new opportunities to expand customer impact by collaborating with presales teams.
• Maintain meticulous hygiene in internal systems to ensure a single source of truth for customer insights and accurate territory analysis. Leverage AI fluency to enhance customer engagement processes, driving efficiency and productivity in delivering technical solutions.

Internal Collaboration & Customer Advocacy

• Amplify the voice of the customer within MongoDB, leveraging technical insights and customer perspectives to influence MongoDB’s product roadmap and coordinate across Sales, Product, Services, and Support to drive long-term health and value realization.
• Connect customers with the right internal resources, including Executive Sponsor engagement, while contributing to regional and global best practices to strengthen team success and act as a force multiplier for the organization.
• Support team growth by participating in the interview and ramping process for new hires, coaching peers to foster development and knowledge-sharing across the region.

What You Will Bring

• Relevant Experience: 7 to 10+ years in a technical customer-facing role (e.g., Technical Customer Success, Solutions Architecture/Engineering, Professional Services/Implementation, Technical Account Management) for a deeply technical, ideally consumption-based, product.
• Accountability: 4+ years experience being accountable for customer health and revenue realization for Enterprise customers.
• Communication: Excellent verbal and written skills with the ability to influence technical and business outcomes and solve complex problems across varying audience types from Developers to C-suite.
• Education: Bachelor’s degree in Computer Science, STEM, or equivalent technical work experience.

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 426148

About The Role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in London for our hybrid working model.

About The Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize  deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp,
  sophisticated sales training, and leadership and development programs 

What you will bring to the table

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus 

About 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: 425442

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

We are looking to speak to candidates who are based in London for our hybrid working model.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize  deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs 

What you will bring to the table

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus

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 nearly 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 426124

About The Role

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enteprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue growth and new customer acquisition.

We are looking to speak to candidates who are based in London for our hybrid working model.

About The Sales Culture

MongoDB is always developing and innovating — not only in our technology, but also in our sales go-to-market strategy. Our sales leadership is committed to building the best salesforce in technology. This means, inspiring and enabling success for everyone on the team. We not only equip you to be successful and close deals, but we want your feedback and input on how we can continue to “Think Big and Go Far.” As a crucial part of the Sales team at MongoDB, you will have access to a lucrative market and learn how to sell from some of the most successful sales leaders in the software industry.

What you will be doing

• Proactively, identify, qualify and close a sales pipeline
• Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users
• Build strong and effective relationships, resulting in growth opportunities
• Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction
• Work closely with the enterprise ecosystem partner sales and channel partner to maximize  deal sizes
• Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp,
  sophisticated sales training, and leadership and development programs 

What you will bring to the table

• 4+ years field experience of quota-carrying experience in a fast-paced and competitive market
• Demonstrated ability to grow accounts and run a complex sales process to Enterprise clients
• A proven track record of overachievement and hitting sales targets
• Ability to articulate the business value of complex enterprise technology
• Skilled in building business champions
• Driven and competitive. Possess a strong desire to be successful 

Things we love

• Passionate about growing your career in the largest market in software (database)
• Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales)
• Familiarity with databases, develops and open source technology a plus
  

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.

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: 425563

MongoDB's EMEA Marketing team is looking for a highly motivated UK Regional Marketing Specialist to join the organisation. 

This role collaborates closely with the sales, ecosystem and broader marketing teams to drive awareness of MongoDB, identify and nurture new users and champions, uncover new opportunities, accelerate deal cycles, and expand MongoDB’s overall footprint in your accounts.You’ll own development and execution of the marketing plans for a subset of focus Enterprise accounts, ensuring we are contributing to the expansion of our accounts, increasing pipeline, and growth.

Additionally, the successful candidate will support programmes to drive awareness and measurable acquisition lift within the startup and founder ecosystem in the UK. This is a very strategic focus area for the company, as we expand the MongoDB AI/digital native focused startup program into new markets. 

You will monitor results of field marketing programs that generate new engagement with target personas, advance existing opportunities, and work closely with other teams to develop and share best practices and industry trends across marketing.

The role will report to the Marketing Lead, Northern Europe 

We are looking to speak to candidates who are based in London for our hybrid working model.

Candidate Profile

Our ideal candidate for this role will have the following:

• 3+ years experience in the technology sector with event/ marketing experience 
• Demonstration of a metrics-driven approach to success and can show Return on Investment by supervising results from funded/co-marketing activity against budget
• Fluent in English 
• Highly results-driven with strong analytical ability
• Ability to thrive in a fast-paced environment. Be resilient and adapt to the evolving business needs as we continue to scale
• Experience working cross functionally with sales, customer success and partner teams
• Excellent written and oral communications skills
• Strong project management skills
• Salesforce experience a plus
• Problem solving skills
• Time management, prioritization, and organizational skills are key
• Ability to shift priorities and help other team members as needed

Position Expectations

• Closely integrate with account executives, supporting the needs of the territory and executing marketing strategies for the UK & Ireland
• Understand the needs of the market and develop programs and events to drive top of funnel awareness and bottom funnel conversions
• Working in collaboration with the ABM marketing managers, build and execute a lead generation plan that delivers significant inbound, qualified leads and pipeline growth to hit targets
• Work with the strategic events team to coordinate local programs and enable the sales team to make the most of them 
• Coordinate MongoDB sponsored trade shows, events and digital programs from end to end
• Collaborate with cross-functional teams when crafting integrated marketing campaigns, and ensure rigorous follow up of all marketing leads across the region 
• Communicate and educate the sales team regarding new and planned marketing activities including global, regional, and local programs
• Drive awareness and measurable acquisition lift within the startup and founder ecosystem by supporting a cohesive community engagement strategy that spans founder networking events, AI builder hackathons, startup and VC sponsorships, ecosystem relationship development, and localized MongoDB for startups acquisition programs
• Integrate key stakeholders into regional events and secure local speaking opportunities to amplify visibility, while actively upskilling and engaging AI, digital-native, and startup communities. 
• Leverage intent signals to deploy targeted campaigns that nurture technical champions and strategically influence the broader buying committee
• In collaboration with our global marketing team support the coordination of local content strategy by understanding our key audiences and industries
• Support the digital assets needed to drive specific activities (set-up of landing pages, webinars & events registration, email campaigns, follow up)
• Generate ideas for, and assist with, the creation of high-quality marketing content for the region (e.g. video, customer stories, blog articles)
• Analyze and provide insights on campaign performance and propose any improvements needed

Success Measures

The Regional Marketing Specialist will be successful in this role when they can execute the following strategic tasks/responsibilities:

• In one month you’ll have cultivated a relationship with your regional account executives, understand your top target accounts, grasped the MarTechStack to begin planning regional marketing opportunities & be able to analyze regional campaign performance
• In 3 months you’ll have a clear understanding of your key objectives, have executed events and key programs, and have started to become a trusted partner to your marketing colleagues, sales leaders and manager
• In 6 months you’ll have cultivated relationship across internal MongoDB teams and have executed tailored programs, co-produced partner events using the MongoDB partnership ecosystem,  contributed to creating an integrated plan in region, maintained flawless reporting of all programs to ensure success, and have a stake in future programming

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: 1273395913

Customer experience

Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions.

Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.

The role

We are looking for a Partner Solutions Architect to serve as the technical interface between Nebius and our strategic technology partners, ranging from data platforms and MLOps vendors to AI frameworks and ISVs that build on GPU infrastructure. 

This is a hands-on engineering and integration role. You will design and develop integrated solutions, build reference implementations, enable partner engineering teams, and ensure joint customers succeed with combined offerings. You will influence Nebius’ product roadmap and drive deep technical collaboration across partner ecosystems.

You’re welcome to work from our office in Amsterdam or remotely from any EU country.

Your responsibilities will include: 

• Own the technical relationship with strategic partners as the primary interface to Nebius engineering and product
• Design and architect high-impact integration solutions, delivering clear joint customer value
• Build and maintain reference implementations and production-grade integrations
• Define enterprise-ready integration patterns (networking, security, compliance, observability)
• Translate partner and customer feedback into actionable product and roadmap requirements
• Enable partner teams through technical documentation, training, and demo environments
• Provide technical leadership in joint customer deployments, architecture reviews, and complex troubleshooting

We expect you to have: 

• 5+ years in solutions architecture, partner engineering, or technical pre-sales at cloud or data platform companies
• Strong expertise in cloud infrastructure
• Hands-on experience with GPU-accelerated AI/ML workflows (training, inference, MLOps)
• Proven background in integration architecture (API design, data pipelines, security, observability)
• Experience with Python and IaC tools
• Excellent communication skills with the ability to engage technical and non-technical stakeholders

It will be an added bonus if you have: 

• Track record of building or scaling partner technical programs or ecosystems
• Experience working with or at Snowflake, Databricks, AWS, Azure, or GCP
• Background in ML lifecycle (training pipelines, fine-tuning, inference optimization, RAG

About the Opportunity

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Senior Security Analyst with experience performing analysis and incident management of information security events, as well as experience contributing directly to the growth of and design of a security program. As a Senior Security Analyst, you will have daily alert investigation and incident response responsibilities, but you will be empowered to proactively drive change to shape and support the growth of our Security program.

Candidates should have experience triaging new and unfamiliar alerts, leading technical workstreams in incidents, or leading all aspects of medium scale incidents. They should have experience creating and maintaining high quality threat detection and demonstrate knowledge and understanding of common Information Security principles and frameworks, coupled with excellent communications skills and a continuous desire to learn and grow.

You will be expected to work independently, work as a part of a global dispersed team, and partner with stakeholders throughout the organization to ensure comprehensive risk mitigation while reducing impact to end users throughout the organization.

What to expect? 

• Perform daily alert investigation and response in a hybrid environment.
• Conduct detail-oriented analysis across challenging and complex ecosystems.
• Communicate investigation and threat updates to technical and non technical senior leaders.
• Work collaboratively across internal functions to identify, respond, and remediate security issues.
• Investigate and lead incidents of medium size and complexity.
• Investigate vulnerability exploitation and support remediation inline with vulnerability programs.
• Collaborate with the team and actively assist in major response exercises.
• Drive continuous improvement across all aspects of threat detection and response.
• Create processes, documentation, and runbooks to support a rapidly growing team.
• Identify systemic issues and collaborate on approaches to address root causes.
• Collaborate on threat models by incorporating detection use cases into designs.
• Identify and lead efforts to improve efficiency, response, detection, and preventative measures.
• Design and build detection logic across multiple platforms (e.g., SIEM, EDR, etc.)
• Play an active role in scaling Operation practices by contributing to team roadmaps.
• Provide delightful and informative interactions with all end users.
• Proactively identify opportunities for user training and awareness programs.
• Provide insights and input on tool selection to help grow our cybersecurity portfolio.

What you need to be successful

• 5+ years of Security Operations experience, including alert triage and investigation
• 2+ detection and tuning experience, inclusive of Security Operations experience
• 2+ years of Security Incident Response experience
• Ability to support on call and occasional off-hours incident response efforts
• Proficiency in analysis fundamentals (e.g., log analysis, live response, forensics, etc.)
• Mastery of investigation methods and adept at handling new and unfamiliar cases.
• Firm understanding of attacker Tactics, Techniques, and Procedures
• Proficiency in attacker techniques in cloud-native and traditional environments.
• Strong technology fundamentals (e.g., OSI Model, TCP/IP, Layer 7 protocols , etc.)
• Ability to perform detailed host analysis on Mac, Windows, & Linux systems.
• Hands-on experience using security technologies (e.g., SIEM, EDR, AntiVirus, etc.)
• Hands-on experience with malware analysis using dynamic and static analysis tools.
• Expertise in AWS audit and security services to investigate cloud centric threats
• Proficiency investigating incidents across SaaS platforms and identity systems
• Experience performing investigations in cloud service providers (e.g., AWS, GCP, Azure, etc.)
• Practical experience with cross-platform and hybrid environment investigations
• Ability to interpret designs and enumerate actionable detection use cases
• Familiarity with modern engineering and detection engineering practices
• Practical mindset to balance business needs with security requirements.
• A drive for change through continuous improvement
• Capable of working independently but possesses a collaborative mindset
• Comfortable working with a geographically dispersed team.
• Experience working independently and as part of a team
• Ability to work in a fast-paced environment, often juggling multiple tasks, alerts, and incidents
• Passion for solving complex security problems in innovative and scalable ways

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.

You’ll be the hands-on security engineer embedded with the Institutional Trading and Financial Operations (FinOps) team. Your focus is the secure operation of off-chain trading processes and infrastructure that empowers our institutional business: integrations, signing flows, key custody interfaces, middle-office workflows, order routing and settle pipelines that handle significant capital. You will support risk assessments, operating controls, automation to detect operational anomalies and remediation coordination. This is a high-visibility role where you will focus on operational security engineering - ensuring that the tools and processes our traders use are resilient against both external threats and internal errors. This role does not require smart-contract auditing.

WHAT YOU WILL DO

• Partner with Trading, Middle Office and Quant (Institutional FinOps) teams to map out inventory trading systems, data flows, third-party integrations and custody/settlement touchpoints.
• Conduct deep-dive assessments mapping critical assets and workflows to identify structural vulnerabilities. You will be responsible for defining the Target State and drafting the strategic Risk Treatment Plans (RTP) required to meet institutional-grade standards (e.g., CCSS, NIST, DORA).
• Act as the primary security liaison for Senior Management and third-party vendors. You will translate complex technical gaps into actionable business risk summaries, drive vendor evaluations for core security infrastructure, and manage the project lifecycle for high-impact posture uplifts.
• Implement and maintain monitoring for FinOps-specific security signals such as abnormal order patterns, signature misuse, unusual settlements. You will integrate these signals into our SIEM/SOAR for real-time response.
• Support secrets and key-management hygiene. You will ensure app/service keys are stored in KMS/Vault, scoped to least privilege and rotated automatically to prevent credential leakage.
• Assist product security in triage of SAST/SCA findings for FinOps-related repositories. You will help implement CI checks and remediation playbooks.
• Participate in incident exercises, post-incident reviews and remediation tracking for trading incidents.
• Document controls and produce concise risk summaries for FinOps leads and the Security.

WHAT YOU WILL NEED

• 5+ years in security engineering, platform security, or application security experience.
• Proven expertise in Threat Modeling. Ability to perform structured reviews (e.g., STRIDE) of complex data flows and operational processes.
• Experience with observability and detection tooling (SIEM, logs, metrics) and ability to write basic detection rules.
• Practical experience with KMS/HSM, secrets management platforms (Vault, 1Password, AWS/GCP KMS), IAM patterns and least-privilege.
• Exceptional ability to translate "Technical Debt" into Business Risk for C-suite stakeholders (CFO, CTO, Head of Trading).
• Ability to raise, read and audit Pull Requests in at least one language used in our stack (TypeScript, Java/Kotlin, Python).
• Experience conducting technical due diligence and scoping for third-party security integrations.

NICE TO HAVE

• Familiarity with trading systems or financial operations (market-making, execution, settlement) or close collaboration background with trading/quant teams.
• Exposure to blockchain on-chain concepts (wallets, addresses, transactions) but no requirement to audit contracts.
• Familiarity with SOC operations, and post-incident forensic analysis.
• Familiarity with SOC2, ISO 27001, or financial audit requirements
• Any relevant industry certification

COMPENSATION & PERKS

• Full-time salary based on experience and meaningful equity in an industry-leading company
• This is a role based in our London office, with a mandatory in-office presence four days per week.
• Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.
• ClassPass 
• Unlimited vacation policy; work hard and take time when you need it
• Apple equipment
• The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an emerging field
• Flexible work culture 

Scopely is looking for an Engineer to serve on and elevate our new casual game, Monopoly GO! team and work from the UK.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.    

MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide.

What You Will Do

• Working closely with feature owners, the game design team and other development teams to implement new features within a feature team
• Work with game client developers to implement networked communications between game client and server
• Design and develop our game server and associated tools and libraries, with a focus on performance, scalability and consistency
• Write automated, high-quality tests (unit, integration etc.) and work with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Implement tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences 

What We're Looking For   

• 3+ years as part of a professional game development team or other relevant area
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Mastery of Unity and  C# or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Knowledge of Unix-like operating systems
• Experience with Redis (or other database systems), ORMs and migration scripts
• Ability to write efficient low-latency, low-IO code
• Good understanding of how to prevent intrusions, injections, cheating etc.

Bonus Points 

• Familiar with highly available back-end systems and servers for games
• AWS, Docker, Terraform, Kibana, Chef, Ansible
• Experience with automated testing
• Experience with stateful and stateless game server architectures

The Rubrik Engineering team is comprised of people who produce extraordinary results. Our engineers are driven to build efficient, reliable, and cost-effective products. We believe in empowering our teams, giving engineers autonomy and responsibility, not just tasks. Our goal is to motivate and challenge you to do the best work of your career. As part of the Rubrik Engineering team, you will work closely with product managers, designers, and other engineers to define the next generation of products for Rubrik. At Rubrik, nothing will stop you from thinking big. We are looking for individuals who are comfortable with ambiguity and excited by the prospect of a challenge. If you have a positive attitude, high energy and limitless drive, and like to win, we want to talk to you.

Job Overview

The Cloud Solutions Architect is a key sales specialist role, supporting the broader sales organization with deep technical knowledge in a focus area. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solutions Architect will have an active role in providing real world feedback to product teams to enhance the product, testing new features before they are released, and helping educate the sales organisation on key components of their focus area technology. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers.

Responsibilities and Duties

• This is a remote work position with approximately 50% travel for onsite meetings (as required).
• Provide technical guidance in customer facing calls as required, both in person and remote.
• Expert level knowledge in primary hyperscalers (AWS, Azure, GCP) including authentication, authorization, networking, security, services, workloads, etc.
• Acts as a strategic advisor on Cloud Native architecture and DevOps; evangelist in automation using Infrastructure as Code and platform-native self-service capabilities.
• Ability to conduct in depth sales discovery and alignment of technical capabilities to customer pain
• Serve as a cloud subject matter expert, covering cloud-centric opportunities and enabling the sales team to effectively promote and sell cutting-edge cloud solutions.
• Assist with technical implementation or validation of the product.
• Work closely with sales teams from initial discovery through technical validation of the Rubrik solution.
• Creating and giving presentations for technical enablement of the systems engineers
• Work with product management and engineering to discover and address product gaps, providing real world knowledge on product use.
• Attend internal meetings and events as required, both in person and remote.

Qualifications

• Bachelor's degree or equivalent.
• 5+ years of experience in their focus area.
• A solid understanding of backups, high availability, and disaster recovery architectures for their focus area.
• Knowledge of common Identity Providers (Entra, AD, Okta), architecture and integration
• Scripting experience in a relevant language (Python, PowerShell, Bash, etc.)
• Experience with Terraform and other tools strongly preferred
• Ability and experience giving technical presentations ranging from small to large audiences
• Ability to self-manage time and projects.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

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.

About the Opportunity

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Senior Security Analyst with experience performing analysis and incident management of information security events, as well as experience contributing directly to the growth of and design of a security program. As a Senior Security Analyst, you will have daily alert investigation and incident response responsibilities, but you will be empowered to proactively drive change to shape and support the growth of our Security program.

Candidates should have experience triaging new and unfamiliar alerts, leading technical workstreams in incidents, or leading all aspects of medium scale incidents. They should have experience creating and maintaining high quality threat detection and demonstrate knowledge and understanding of common Information Security principles and frameworks, coupled with excellent communications skills and a continuous desire to learn and grow.

You will be expected to work independently, work as a part of a global dispersed team, and partner with stakeholders throughout the organization to ensure comprehensive risk mitigation while reducing impact to end users throughout the organization.

What to expect? 

• Perform daily alert investigation and response in a hybrid environment.
• Conduct detail-oriented analysis across challenging and complex ecosystems.
• Communicate investigation and threat updates to technical and non technical senior leaders.
• Work collaboratively across internal functions to identify, respond, and remediate security issues.
• Investigate and lead incidents of medium size and complexity.
• Investigate vulnerability exploitation and support remediation inline with vulnerability programs.
• Collaborate with the team and actively assist in major response exercises.
• Drive continuous improvement across all aspects of threat detection and response.
• Create processes, documentation, and runbooks to support a rapidly growing team.
• Identify systemic issues and collaborate on approaches to address root causes.
• Collaborate on threat models by incorporating detection use cases into designs.
• Identify and lead efforts to improve efficiency, response, detection, and preventative measures.
• Design and build detection logic across multiple platforms (e.g., SIEM, EDR, etc.)
• Play an active role in scaling Operation practices by contributing to team roadmaps.
• Provide delightful and informative interactions with all end users.
• Proactively identify opportunities for user training and awareness programs.
• Provide insights and input on tool selection to help grow our cybersecurity portfolio.

What you need to be successful

• 5+ years of Security Operations experience, including alert triage and investigation
• 2+ detection and tuning experience, inclusive of Security Operations experience
• 2+ years of Security Incident Response experience
• Ability to support on call and occasional off-hours incident response efforts
• Proficiency in analysis fundamentals (e.g., log analysis, live response, forensics, etc.)
• Mastery of investigation methods and adept at handling new and unfamiliar cases.
• Firm understanding of attacker Tactics, Techniques, and Procedures
• Proficiency in attacker techniques in cloud-native and traditional environments.
• Strong technology fundamentals (e.g., OSI Model, TCP/IP, Layer 7 protocols , etc.)
• Ability to perform detailed host analysis on Mac, Windows, & Linux systems.
• Hands-on experience using security technologies (e.g., SIEM, EDR, AntiVirus, etc.)
• Hands-on experience with malware analysis using dynamic and static analysis tools.
• Expertise in AWS audit and security services to investigate cloud centric threats
• Proficiency investigating incidents across SaaS platforms and identity systems
• Experience performing investigations in cloud service providers (e.g., AWS, GCP, Azure, etc.)
• Practical experience with cross-platform and hybrid environment investigations
• Ability to interpret designs and enumerate actionable detection use cases
• Familiarity with modern engineering and detection engineering practices
• Practical mindset to balance business needs with security requirements.
• A drive for change through continuous improvement
• Capable of working independently but possesses a collaborative mindset
• Comfortable working with a geographically dispersed team.
• Experience working independently and as part of a team
• Ability to work in a fast-paced environment, often juggling multiple tasks, alerts, and incidents
• Passion for solving complex security problems in innovative and scalable ways

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.

#LI-KH1 #LI-Hybrid

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

Join Contentful as a Full Stack Software Engineer and Innovate with Automations, Workflows, and Collaboration Tools.

Become a part of the innovative team at Contentful, where we empower thousands of customers to manage content at scale. We're seeking talented Full Stack Software Engineers who are passionate about building scalable, high-performance applications using modern technologies. If you're excited about pushing the boundaries of what's possible in the domain of Automations, Workflows, and team collaboration within the Contentful ecosystem — and have experience with TypeScript, React, and Node.js — we'd love to have you on our team.

What to expect? 

• Collaborate and Innovate: Work closely with product managers, designers, and other engineers to build best-in-class automation, workflow, and collaboration features for our customers.
• Full Stack Development: Design, develop, and maintain scalable frontend and backend features using TypeScript, React, and Node.js.
• Collaboration Tools Integration: Implement and integrate collaboration technologies to enhance team productivity and improve user experiences across the platform.
• Holistic Thinking: Consider components and systems while considering a holistic user experience.
• Rapid Problem-Solving: Quickly fix bugs and solve problems to enhance customer satisfaction.
• Data-Driven Development: Utilize analytics to inform product decisions and improve features.
• Continuous Improvement: Participate in code reviews and contribute to improving our development processes.
• Stay Current: Keep up-to-date with the latest industry trends especially in the domain of automations, workflows, and collaboration tools.

What you need to be successful?

• Proven Experience: Demonstrable experience as a Full Stack Software Engineer in a product development environment.
• Technical Proficiency: Strong skills in TypeScript, React, and Node.js. Interested in clean code practices and familiarity with enterprise architectural design patterns.
• Containerization and Orchestration: Experience with Docker and Kubernetes.
• Cloud Services Familiarity: Knowledge of cloud platforms like AWS, Azure, or GCP.
• Problem-Solving Skills: Natural problem-solver who brings forward ideas leading to practical solutions and product growth.
• Collaborative Mindset: Excellent communication skills and the ability to work effectively in a team environment.
• Adaptability: Ability to organize and prioritize competing workloads in a fast-paced environment.

Preferred:

• DevOps Practices: Understanding of CI/CD pipelines and DevOps methodologies.
• Past Project Experience: Previous experience working with automation engines and/or building collaboration features and team workflow tools highly appreciated but not required.

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.

What We're Looking For

We’re looking for a Backend Engineer to help develop and scale the Lightning AI platform, spanning APIs, infrastructure, billing, security, and integrations. In this role, you’ll take ownership of key features and drive them end-to-end, working closely with engineering, product, and design to ship high-quality, iterative improvements. This is an opportunity to build systems that support real-world machine learning workloads at scale.

This role is based in one of our hubs (Seattle, NYC, SF, or London), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Write readable/testable/efficient code in Go (Golang).
• Build deep expertise in our technology stack to deliver new features, improve system stability, and increase overall performance.
• Partner with engineering and product leaders on developing the Lightning product while using your experience to set the technical direction for large projects.
• Evaluate, strengthen, and document technical architecture, tools, and processes.
• Maintain software quality, implement automation, drive continuous delivery, and reduce time to production while proactively reducing technical debt.
• Mentor and coach engineers on system design, operating in high uncertainty, and problem-solving to create a supportive, inclusive environment where each engineer can grow.

What You’ll Need

• Extensive experience writing efficient, maintainable code in Go. Familiarity with best practices in testing, readability, and optimization is essential.
• Broad knowledge of backend and frontend systems, with experience building and scaling APIs, CLI tools, billing systems, and security protocols. Exposure to frontend frameworks is a plus.
• Experience with cloud platforms like AWS, GCP, or Azure and designing systems that are reliable, performant, and scalable. Familiarity with containerization (Docker, Kubernetes) is a strong advantage.
• Proven ability to take ownership of key features and drive end-to-end development
• Commitment to software quality, test automation, and continuous delivery. Experience proactively managing technical debt and speeding up time to production.
• Hands-on experience as a backend or product engineer in a SaaS technology company
• Communication and collaboration with engineers, product managers, and designers
• Ability to operate in high uncertainty and rapidly changing environments

Compensation

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).

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

Overview of Role

As an Agile Technical Delivery Manager, you will be responsible for overseeing the development and delivery of technical projects in a fast-paced, client-centric environment. You will work closely with clients to understand their needs, guide a team of technical professionals, and ensure that projects are completed on time, within budget, and to the highest quality standards. This role is ideal for an individual with a strong technical background, excellent project management skills, and a passion for delivering exceptional service to clients. If you are looking to make a significant impact in a fast-paced and growing professional services firm, we would love to hear from you.

Responsibilities:

Client Engagement

• Build and maintain strong relationships with clients.
• Communicate regularly with clients, keeping them informed of project progress and addressing any concerns.
• Work closely with clients on site minimum 3 days a week.

Project Management

• Lead and own the success of an engagement using Agile methodologies, ensuring fast-paced and efficient delivery.
• Understand client's desired business outcomes, the engagement’s scope of work and align them within a backlog.
• Manage project timelines, budgets, and resource allocation.
• Identify, assess, and mitigate project risks and issues.
• Review timesheets and make sure they accurately reflect the team’s work.
• Ensure accurate and timely documentation throughout the engagement.

Technical Delivery Governance

• Understand the key components of the solution and their relationship to the scope and the desired business outcomes.
• Provide delivery guidance and oversight on how to align the technical components design and implementation with the delivery timeline throughout the project lifecycle.
• Ensure the delivery feasibility of proposed technical components.

Quality Assurance

• Ensure that all deliverables meet quality standards and client expectations.
• Implement quality control processes throughout the project lifecycle.

Team Leadership

• Lead and mentor a team of technical professionals, including architects, engineers, and QA specialists.
• Foster a collaborative and high-performing team environment.
• Conduct regular team meetings and ensure clear communication of project objectives and progress.

Qualifications

Delivery Requirements

• 8+ years of proven experience in technical project management, preferably in a consulting environment.
• Strong, demonstrable knowledge of Agile methodologies (Scrum and Kanban).
• Experience delivering complex, multi stream projects at enterprise level, ideally in financial services or digital natives.
• Excellent leadership and team management skills.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Experience with project management tools (e.g., JIRA, Confluence).
• Ability to manage multiple projects simultaneously.

Technical Requirements

• Deep understanding of data management, advanced analytics and visualization concepts.
• Hands on technical experience of delivering data, analytics and AI projects.
• Strong knowledge of cloud ecosystems and their key products (preferably GCP).
• Strong grasp of AI/ML solutions and their required delivery components.
• Ability to understand technical components of data, analytics and AI solution architecture.

Due to our continued growth, Precision for Medicine is looking for a Senior Feasibility Associate/Feasibility Manager to join our European team. This position can be covered fully remotely in UK, Spain, Hungary, Poland, Romania, Serbia or Slovakia.

Position Summary:

The Senior Feasibility Associate/Feasibility Manager is a member of the expert team within Feasibility Department of Precision for Medicine. As part of this team, this role has responsibility to support the delivery of pre-award, post-award, rescue, and stand-alone-feasibility projects. The Senior Feasibility Associate/Feasibility Manager supports pre-award feasibility projects and support business development and operational strategy teams by conducting feasibility analysis. The Senior Feasibility Associate/Feasibility Manager supports stand-alone feasibility projects and site identification and is providing feasibility support for newly awarded and/or ongoing projects. In addition, Senior Feasibility Associate/Feasibility Manager may participate in specific projects that enables Precision for Medicine to stay at the forefront of innovation and maintain their competitive edge as a scientifically driven engaged partner for our biotech and pharma clients.

Essential functions of the job include but are not limited to:

Support pre-award feasibility projects

• Provide pre-award feasibility analysis and input for pre-award RFPs, including competitive analysis, historical recruitment analysis, standards of care, drug analysis, epidemiology analysis, site and country analysis.
• Review clinical protocols, study assumptions, client information and study plans for US and global trials.
• Present and explain feasibility analysis to BD/Clients, including the process, recommendations, and rationale.
• Interface with colleagues, consultants and partners and collaborate with internal and external sources to gather and share feasibility information.
• Undertake feasibility site outreach for pre award opportunities.
• Participate and/or contribute to BDM and client calls.

Provide support to post-award feasibility projects

• Undertake post-award, rescue, and standalone feasibility deliverables in alignment with study and client requirements.
• Where appropriate, engage with patient advocacy groups and site networks to support study feasibility, recruitment, and successful delivery.
• Support the analysis of the collected site data to provide accurate site identification, enrollment modeling and study strategy (ies)

Minimum required:

• Bachelor’s degree in a life sciences discipline
• A minimum of 5 years of related experience
• Combination of qualifications and equivalent relevant experience may be accepted as an alternative.

Other Required:

• Relevant experience in the required activities for the role including feasibility analysis, site identification.
• Ability to communicate both verbally and in writing at the English proficiently (Professional level) Preferred:
• Postgraduate degree preferred.

Skills

• Strong management and organizational skills
• Excellent oral and written communication skills in English
• Strong rationale and analytical thinking
• Strong IT platform and data analysis skills
• Strong presentation abilities
• Advanced computer skills, specifically with MS Word, Excel, PowerPoint, and with web/data-based platforms Competencies
• Strong sense of ownership and pride in quality of outputs
• Good to strong attention to detail with ability to see the big picture
• Team player
• Willingness to work in a matrix environment, work independently and as part of a dynamic team.
• Demonstrates knowledge of ICH-GCP

Precision for Medicine is not your typical CRO. At Precision for Medicine we have brought together new technologies, expertise and operational scale to help the life sciences improve the speed, cost and success rate of bringing life-changing therapies to patients. What sets us apart is the way we integrate clinical trial execution with deep scientific knowledge, laboratory expertise and advanced data sciences. We have a strong focus on Oncology and Rare Disease.

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Due to our continued growth, Precision for Medicine is looking for a Senior Feasibility Associate/Feasibility Manager to join our European team. This position can be covered fully remotely in UK, Spain, Hungary, Poland, Romania, Serbia or Slovakia.

Position Summary:

The Senior Feasibility Associate/Feasibility Manager is a member of the expert team within Feasibility Department of Precision for Medicine. As part of this team, this role has responsibility to support the delivery of pre-award, post-award, rescue, and stand-alone-feasibility projects. The Senior Feasibility Associate/Feasibility Manager supports pre-award feasibility projects and support business development and operational strategy teams by conducting feasibility analysis. The Senior Feasibility Associate/Feasibility Manager supports stand-alone feasibility projects and site identification and is providing feasibility support for newly awarded and/or ongoing projects. In addition, Senior Feasibility Associate/Feasibility Manager may participate in specific projects that enables Precision for Medicine to stay at the forefront of innovation and maintain their competitive edge as a scientifically driven engaged partner for our biotech and pharma clients.

Essential functions of the job include but are not limited to:

Support pre-award feasibility projects

• Provide pre-award feasibility analysis and input for pre-award RFPs, including competitive analysis, historical recruitment analysis, standards of care, drug analysis, epidemiology analysis, site and country analysis.
• Review clinical protocols, study assumptions, client information and study plans for US and global trials.
• Present and explain feasibility analysis to BD/Clients, including the process, recommendations, and rationale.
• Interface with colleagues, consultants and partners and collaborate with internal and external sources to gather and share feasibility information.
• Undertake feasibility site outreach for pre award opportunities.
• Participate and/or contribute to BDM and client calls.

Provide support to post-award feasibility projects

• Undertake post-award, rescue, and standalone feasibility deliverables in alignment with study and client requirements.
• Where appropriate, engage with patient advocacy groups and site networks to support study feasibility, recruitment, and successful delivery.
• Support the analysis of the collected site data to provide accurate site identification, enrollment modeling and study strategy (ies)

Minimum required:

• Bachelor’s degree in a life sciences discipline
• A minimum of 5 years of related experience
• Combination of qualifications and equivalent relevant experience may be accepted as an alternative.

Other Required:

• Relevant experience in the required activities for the role including feasibility analysis, site identification.
• Ability to communicate both verbally and in writing at the English proficiently (Professional level) Preferred:
• Postgraduate degree preferred.

Skills

• Strong management and organizational skills
• Excellent oral and written communication skills in English
• Strong rationale and analytical thinking
• Strong IT platform and data analysis skills
• Strong presentation abilities
• Advanced computer skills, specifically with MS Word, Excel, PowerPoint, and with web/data-based platforms Competencies
• Strong sense of ownership and pride in quality of outputs
• Good to strong attention to detail with ability to see the big picture
• Team player
• Willingness to work in a matrix environment, work independently and as part of a dynamic team.
• Demonstrates knowledge of ICH-GCP

Precision for Medicine is not your typical CRO. At Precision for Medicine we have brought together new technologies, expertise and operational scale to help the life sciences improve the speed, cost and success rate of bringing life-changing therapies to patients. What sets us apart is the way we integrate clinical trial execution with deep scientific knowledge, laboratory expertise and advanced data sciences. We have a strong focus on Oncology and Rare Disease.

#LI-TB1

#LI-Remote

We're looking for a Platform Engineer to join our Application Platform team. You'll help build and operate the deployment platform, tooling, and developer experience that every engineering team at dunnhumby relies on to ship software to production.

This role can be based from either our London or Manchester office.

You'll join at a moment when we're moving our retail analytics platform from monthly bundled releases to continuous per-service deployment on Kubernetes. You'll be hands-on with that migration in your first few months and then stay on long-term as a core member of the team that owns and evolves the platform. It's a clear path into senior platform engineering for someone who has shipped production Kubernetes work and wants to grow their craft on a platform used by hundreds of engineers.

Responsibilities

• Build and maintain the platform primitives that enable service teams to deploy independently, including ArgoCD application manifests, GitOps repository lifecycles, reusable Helm chart templates, and External Secrets Operator configuration.
• Pair with engineers across product and data teams as they onboard onto the new platform, addressing repeated questions at the template layer to prevent recurring issues.
• Contribute to platform design discussions and help shape the paved road that engineers across dunnhumby build on.
• Author and maintain reusable GitLab CI pipeline templates covering build, test, publish, deploy, and post‑deploy stages.
• Work with service teams to migrate pipelines onto the platform standard and retire bespoke per‑service deployment scripts.
• Continuously improve build times, pipeline reliability, and developer feedback loops.
• Respond to platform alerts during working hours, triaging ArgoCD sync failures, secret synchronisation errors, and flaky pipelines.
• Join the Application Platform on‑call rotation once ramped up (typically after the first few months).
• Instrument platform tooling with structured logging and dashboards to improve visibility without manual investigation.
• Write unit and integration tests to meet SonarQube coverage requirements and create smoke tests for deployment workflows — no green CI, no merge.
• Keep migration playbooks, ArgoCD setup guides, and per‑service pipeline documentation accurate and up to date.
• Share learnings with the squad through regular knowledge‑sharing sessions.

What we expect from you:

• Strong professional software or platform engineering experience, shipping code or infrastructure to production within a team environment
• Hands‑on Kubernetes experience on GKE, AKS, or EKS, with confidence using Deployments, Services, Ingress, ConfigMaps, Secrets, and RBAC
• Helm experience, including writing or substantially modifying charts, with a solid understanding of values files, templates, hooks, and chart dependencies
• Experience with GitLab CI or a comparable CI tool (e.g. GitHub Actions, Azure DevOps, Jenkins, CircleCI), having built or meaningfully modified pipelines rather than just used them
• Production experience with Python or Go, with the ability to discuss real code from professional work
• Confidence working with Linux, Bash, Docker, and standard Unix tooling
• Strong Git practices within a team environment, including branching strategies, PR/MR workflows, review feedback, and merge conflict resolution
• A proven track record of shipping to production in a professional team setting (not solely prototype or personal projects)
• Exposure to ArgoCD, Flux, or another GitOps tool is a strong plus
• Experience with External Secrets Operator, Vault, or similar secret‑sync patterns is beneficial
• Familiarity with Terraform, multi‑cloud environments (GCP and Azure), observability tooling (e.g. New Relic, Datadog, Prometheus, Grafana), or contract testing with Pact would be valuable

About Us:

Founded 20 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 600 people operating throughout North America, Europe and Asia. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.

Overview:

DV Trading is seeking a Senior Cloud Infrastructure Engineer to lead the design, buildout, and operation of firm-wide cloud infrastructure supporting all trading desks and research platforms. This role owns core shared cloud capabilities across the firm while also providing specialized infrastructure support to the crypto desk. It requires deep expertise in cloud networking, distributed systems, and infrastructure placement, with strong engineering judgment in environments where latency, operational risk, and security posture directly impact PnL. 

Job Responsibilities:

• Firm-Wide Cloud Platform
  • Own the architecture and operation of cloud infrastructure supporting latency-sensitive trading systems across all desks.
  • Design VPC and network topologies with explicit routing, isolation, and traffic control; partner with the network team to build a robust, highly available, and latency-optimized global network, including Direct Connect to DV office locations and hybrid connectivity across cloud providers (Cloud Interconnect, VPN, Transit Gateway). 
  • Define compute placement strategies, including cluster placement groups and locality-aware scheduling.
  • Build and maintain shared platform capabilities that enable engineering teams across the firm to self-serve reliably and safely.
  • Own FinOps visibility and cost optimization frameworks across all trading and research workloads. 
  • Serve as the primary escalation point for cloud infrastructure incidents firm-wide, owning issues from detection through resolution. 
  • Define firm-wide observability standards and own the cloud layer of the monitoring and alerting stack. 
  • Mentor engineers and establish infrastructure standards that raise the engineering bar across teams.
• Cloud Migration (CME-GCP)
  • Lead infrastructure planning and execution for the migration of CME colocation workloads to GCP, maintaining continuity of latency-sensitive trading operations throughout. 
  • Design hybrid connectivity between colocation environments and GCP (Cloud Interconnect, Cloud VPN). 
  • Architect GCP VPC topology, IAM, and Organization Policy to mirror the security posture enforced on AWS. 
  • Define GCP compute strategy (Compute Engine, GKE, sole-tenant nodes) with trading-appropriate placement and locality considerations. 
  • Extend Terraform IaC standards to GCP; establish cross-cloud observability using Cloud Monitoring, Cloud Logging, and Cloud Trace.
• Crypto Desk – Specialized Support
  • Design secure, low-latency connectivity to cryptocurrency exchanges via private peering or dedicated API gateways. 
  • Build DDoS-resilient perimeter for crypto-facing infrastructure and enforce strict network segmentation from other trading desks. 
  • Establish WebSocket connection management infrastructure for real-time market data feeds with redundant failover and feed health observability.

Requirements:

• At least 5+ years of experience in a similar role in the industry
• Extensive hands-on experience with both AWS and GCP in performance-sensitive environments
• Deep, hands-on expertise in cloud networking: VPC design, hybrid connectivity, routing, and traffic control across AWS and GCP
• Extensive experience with Terraform at scale
• Direct experience supporting electronic trading or low-latency systems
• Demonstrated ability to build shared platform capabilities and drive adoption across engineering teams
• GCP & Cloud Migration
• Experience migrating latency-sensitive workloads to GCP; familiarity with Compute Engine, GKE, and sole-tenant nodes
• Working knowledge of GCP IAM, Organization Policies, and multi-project governance
• Understanding of multi-cloud networking patterns and cross-cloud security posture management
• Familiarity with exchange API security models, crypto key custody patterns, and WebSocket-based market data infrastructure
• Awareness of crypto-specific threat landscape: API key theft, BGP hijacking, and chain reorganization events

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.