Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

Analyst – Performance & Emissions

We are seeking qualified applicants for the position of Analyst - Performance & Emissions to be based in London, UK. 

General Description:

The Analyst - Performance & Emissions will be responsible for monitoring and evaluating vessel performance against TCP warranties, using voyage reports and sensor data. Another key aspect of the role is to capture and analyze data related to VGC’s chartered Fleet’s international emission regulations and enable the day-to-day administration of emission reporting to relevant authorities.

This position will sit within the VGC Shipping Fleet Performance & Emissions Team, reporting directly to the Sr. Manager - Fleet Performance and Emissions, and will play a key role in enhancing value for VGC’s chartered fleet. Strong digital and analytical skills are essential for handling large complex data.

Key Responsibilities:

• Fleet Performance & Emissions Compliance System Development Support:Support the development of systems for monitoring, recording, and evaluating LNG fleet performance and emissions exposure.
• Regulatory Upkeep:Maintain records related to environmental regulations, ensuring data accuracy for submissions to classification societies.
• Performance Monitoring:Assist in monitoring vessel performance and highlighting underperformance against Charterparty warranties.
• Compliance Coordination:Monitor and report on emission compliance requirements, including deadlines and documentary evidence.
• Routing Evaluation:Utilize weather routing and voyage reporting services to assist in evaluating optimized ship routing.
• Analytical Support:Help develop and maintain analytical models to derive various performance and emission KPIs. In addition, there will be analytical needs from Shipping Operations, Chartering
• Platform Collaboration:Collaborate with IT on the development of a live monitoring platform for VGC chartered ships.
• Fleet Management Support:Actively support the management of the LNG carrier fleet through procedure development and software implementation.
• Stakeholder & Claims Support:Foster strong relationships with stakeholders and assist in LNG performance claims management.
• Ad-hoc Tasks:Provide supplementary support and complete tasks as requested by the line manager.

Experience & Skills

Essential

• Experience: Minimum 2+ years in Data Analytics or Data Science.
• Technical Skills: Proficient in Python, Databricks, SQL, Microsoft Power Platform, and Excel.
• Industry Knowledge: Solid understanding of the LNG supply chain, international maritime emission regulations, and LNG Time Charter Parties.
• Education: Bachelor’s degree or professional qualification in a complementary field (Data Science, Computer Science).

Advantageous

• LNG Shipping Operations: Familiarity with cargo scheduling, shipping operations, and LNG marketing.
• Maritime Tech: Experience with vessel design and technologies focused on efficiency and emissions reduction.

Soft Skills

• Data Storytelling: Translates complex findings into clear, actionable insights for any audience.
• Collaborative Partner: Bridges the gap between technical teams and stakeholders through active listening.
• Analytical Rigor: Combines critical thinking with high accuracy to validate results and challenge assumptions.
• Proactive Problem-Solver: Naturally curious; identifies patterns and takes initiative to optimize workflows.
• Project Ownership: Highly organized and accountable; manages multiple priorities in fast-paced environments.
• Adaptability: Thrives in diverse, cross-functional teams and pivots quickly as business needs evolve

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.

#LI-Onsite

Precision AQ is growing! We are seeking an exceptional Principal Medical Writer (PMW) to join our Brand & Promotion team in the UK.

The PMW plays a pivotal role in the development of high‑quality, evidence‑based promotional content that meets client strategic objectives, aligns with brand messaging, and adheres strictly to the ABPI Code of Practice. This role requires someone with extensive experience in creating promotional assets across multiple channels, including promotional campaigns, detail aids, leave pieces, branded and unbranded emails, digital assets, and promotional congress materials.

Working with a Senior Scientific Director (SrScD)  / Scientific Director (ScD), the Principal Medical Writer (PMW) leads content development across assigned brands, collaborates closely with cross‑functional partners, and serves as a trusted client‑facing scientific expert. They also contribute to process excellence, content quality oversight, and strategic insight within the brand team.

Key Responsibilities

Content Development – Promotional Focus

• Produces high‑quality promotional content that is scientifically robust, strategically aligned, and brand consistent.
• Develops and refines copy for a range of promotional deliverables, including:
• Promotional campaigns
• Brand narratives
• Detail aids (digital and print)
• Leave pieces
• Promotional emails
• Congress materials (e.g., symposia content, promotional booths, visual messaging)
• Claims support materials
• Interactive and digital promotional tools
• Applies a strong understanding of the ABPI Code of Practice and ensures all materials meet compliance requirements.
• Interprets complex scientific data and translates it into clear, credible, and compelling promotional messages.
• Conducts targeted literature searches to identify data that strengthen brand messaging, claims, and promotional narratives.
• Develops multiple rounds of content with precision, including annotations, references, claims support, and ABPI‑compliant substantiation.
• Incorporates internal and client feedback effectively, producing final deliverables that reviewers can trust and progress with confidence.
• Ensures brand story arcs and promotional strategy are reflected across all materials.

Internal and External Collaboration

• Collaborates closely with Account, Editorial, Creative, Digital, and Client Services teams to ensure timely, cohesive delivery.
• Manages multiple priorities efficiently, delivering work within allocated budgeted hours and communicating proactively around timelines.
• Partners effectively with SrScD/ScD, Account Directors, and clients to align on brand objectives, data requirements, and communication strategy.
• Leads scientific discussions with clients and external experts in calls, meetings, and medical‑legal‑regulatory (MLR) review sessions.
• Acts as the scientific lead for assigned brand projects, ensuring clarity in communication and alignment across functions.
• Navigates and leads the MLR process confidently, providing scientific justification for claims, responding to review queries, and guiding internal teams on required changes.

Management and Leadership

• Leads assigned brand‑promotion projects from a scientific perspective, ensuring excellence in delivery from concept through to finalisation.
• Provides mentorship and first‑pass review support for junior writers.
• Works with the SrScD/ScD to enhance processes, improve team efficiency, and uphold best practices for promotional writing.
• Supports business development activities with scientific input and contributes to pitches as required.
• Stays current with therapeutic landscape developments, regulatory updates, and promotional best practices.

Other Responsibilities

• Completes mandatory training, annual leave planning, and performance evaluations in required systems.
• Adheres to legal and compliance obligations including Data Protection, Information Security, Health & Safety, and ethical business conduct.
• Performs additional duties reasonably assigned within the remit of the role.

Requirements

• PhD in a scientific discipline.
• Minimum 6 years’ experience in medical writing, ideally within a medical communications agency, with a strong emphasis on pharmaceutical promotional materials.
• Demonstrable expertise in developing promotional assets such as brand campaigns, brand narratives, detail aids, leave pieces, emails, digital promotional content, and congress materials.
• In‑depth understanding and practical application of the ABPI Code of Practice in promotional content.
• Strong proficiency in Microsoft Office (Word®, PowerPoint®, Excel®), Adobe Acrobat®, and reference‑management tools (e.g., EndNote®).
• Experienced with literature databases (e.g., PubMed).
• Ability to master new therapeutic areas quickly and communicate clearly and persuasively.
• Consistent and effective use of internal communication tools (e.g., Teams).
• Willingness to travel occasionally for client meetings and live events.

#LI-Remote

#LI-TB1

Precision AQ is growing! We are seeking an exceptional Principal Medical Writer (PMW) to join our Brand & Promotion team in the UK.

The PMW plays a pivotal role in the development of high‑quality, evidence‑based promotional content that meets client strategic objectives, aligns with brand messaging, and adheres strictly to the ABPI Code of Practice. This role requires someone with extensive experience in creating promotional assets across multiple channels, including promotional campaigns, detail aids, leave pieces, branded and unbranded emails, digital assets, and promotional congress materials.

Working with a Senior Scientific Director (SrScD)  / Scientific Director (ScD), the Principal Medical Writer (PMW) leads content development across assigned brands, collaborates closely with cross‑functional partners, and serves as a trusted client‑facing scientific expert. They also contribute to process excellence, content quality oversight, and strategic insight within the brand team.

Key Responsibilities

Content Development – Promotional Focus

• Produces high‑quality promotional content that is scientifically robust, strategically aligned, and brand consistent.
• Develops and refines copy for a range of promotional deliverables, including:
• Promotional campaigns
• Brand narratives
• Detail aids (digital and print)
• Leave pieces
• Promotional emails
• Congress materials (e.g., symposia content, promotional booths, visual messaging)
• Claims support materials
• Interactive and digital promotional tools
• Applies a strong understanding of the ABPI Code of Practice and ensures all materials meet compliance requirements.
• Interprets complex scientific data and translates it into clear, credible, and compelling promotional messages.
• Conducts targeted literature searches to identify data that strengthen brand messaging, claims, and promotional narratives.
• Develops multiple rounds of content with precision, including annotations, references, claims support, and ABPI‑compliant substantiation.
• Incorporates internal and client feedback effectively, producing final deliverables that reviewers can trust and progress with confidence.
• Ensures brand story arcs and promotional strategy are reflected across all materials.

Internal and External Collaboration

• Collaborates closely with Account, Editorial, Creative, Digital, and Client Services teams to ensure timely, cohesive delivery.
• Manages multiple priorities efficiently, delivering work within allocated budgeted hours and communicating proactively around timelines.
• Partners effectively with SrScD/ScD, Account Directors, and clients to align on brand objectives, data requirements, and communication strategy.
• Leads scientific discussions with clients and external experts in calls, meetings, and medical‑legal‑regulatory (MLR) review sessions.
• Acts as the scientific lead for assigned brand projects, ensuring clarity in communication and alignment across functions.
• Navigates and leads the MLR process confidently, providing scientific justification for claims, responding to review queries, and guiding internal teams on required changes.

Management and Leadership

• Leads assigned brand‑promotion projects from a scientific perspective, ensuring excellence in delivery from concept through to finalisation.
• Provides mentorship and first‑pass review support for junior writers.
• Works with the SrScD/ScD to enhance processes, improve team efficiency, and uphold best practices for promotional writing.
• Supports business development activities with scientific input and contributes to pitches as required.
• Stays current with therapeutic landscape developments, regulatory updates, and promotional best practices.

Other Responsibilities

• Completes mandatory training, annual leave planning, and performance evaluations in required systems.
• Adheres to legal and compliance obligations including Data Protection, Information Security, Health & Safety, and ethical business conduct.
• Performs additional duties reasonably assigned within the remit of the role.

Requirements

• PhD in a scientific discipline.
• Minimum 6 years’ experience in medical writing, ideally within a medical communications agency, with a strong emphasis on pharmaceutical promotional materials.
• Demonstrable expertise in developing promotional assets such as brand campaigns, brand narratives, detail aids, leave pieces, emails, digital promotional content, and congress materials.
• In‑depth understanding and practical application of the ABPI Code of Practice in promotional content.
• Strong proficiency in Microsoft Office (Word®, PowerPoint®, Excel®), Adobe Acrobat®, and reference‑management tools (e.g., EndNote®).
• Experienced with literature databases (e.g., PubMed).
• Ability to master new therapeutic areas quickly and communicate clearly and persuasively.
• Consistent and effective use of internal communication tools (e.g., Teams).
• Willingness to travel occasionally for client meetings and live events.

#LI-Remote

#LI-TB1

Position Summary
Gelfand, Rennert & Feldman is seeking a full charge Bookkeeper with ideally entertainment/touring experience to join our team of dedicated professionals. This position will be based from our London office on a full-time basis, with potential for hybrid working following a 3-month probation. The Bookkeeper is responsible for computing, classifying, and recording financial transactions to ensure the financial records of assigned client are accurate.

Primary Responsibilities

• Raising sales invoices
• Maintaining QuickBooks online ledgers and electronic filing system in Teams
• Process accounts payable and accounts receivable.
• Perform credit card and bank reconciliations
• Posting petty cash and tour manager floats
• Creating payment packs online ready for manager approvals
• Posting directors expense claims
• Posting and reconciling intercompany accounts on QuickBooks online in local currencies
• Revaluating foreign currency balances at month end
  
• Generally assisting account managers as directed including:
  • In preparing of VAT return packs
  • Assisting with preparation of tour accounts
  • Assisting with the preparation of management accounts
  • Assisting with the preparation of annual accounts
  • Assisting with gathering information with personal and corporate tax returns
• Any other duties as required by your line manager or senior team which are proportionate to your level and remit.

Qualifications:

• Experience within a bookkeeping position ideally within a business management firm
• General accounting experience
• Excellent communication skills (in person, on the phone, and via email)
• Sense of urgency
• Keen eye for details
• Ability to quickly shift gears without losing focus
• Solid interpersonal skills and other key soft skills (i.e., communication, time management, emotional intelligence, adaptability, active listening, critical-thinking, etc.)
• Experience with QuickBooks is highly 

Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual bonus and a comprehensive benefits package. Candidate information, including education and work experience, is verified upon an offer of employment. Falsification of application information may be grounds for denying employment.

Gelfand, Rennert & Feldman is an Equal Opportunity Employer.

For information on our Job Applicant Privacy Notice, please click here.

#LI-TN1

Position Summary
Gelfand, Rennert & Feldman is seeking a full charge Bookkeeper with ideally entertainment/touring experience to join our team of dedicated professionals. This position will be based from our London office on a full-time basis, with potential for hybrid working following a 3-month probation. The Bookkeeper is responsible for computing, classifying, and recording financial transactions to ensure the financial records of assigned client are accurate.

Primary Responsibilities

• Raising sales invoices
•  Maintaining QuickBooks online ledgers and electronic filing system in Teams
• Process accounts payable and accounts receivable.
• Perform credit card and bank reconciliations
• Posting petty cash and tour manager floats
• Creating payment packs online ready for manager approvals
• Posting directors expense claims
• Posting and reconciling intercompany accounts on QuickBooks online in local currencies
• Revaluating foreign currency balances at month end
  
• Generally assisting account managers as directed including:
  • In preparing of VAT return packs
  • Assisting with preparation of tour accounts
  • Assisting with the preparation of management accounts
  • Assisting with the preparation of annual accounts
  • Assisting with gathering information with personal and corporate tax returns
• Any other duties as required by your line manager or senior team which are proportionate to your level and remit.

Qualifications:

• Experience within a bookkeeping position ideally within a business management firm
• General accounting experience
• Excellent communication skills (in person, on the phone, and via email)
• Sense of urgency
• Keen eye for details
• Ability to quickly shift gears without losing focus
• Solid interpersonal skills and other key soft skills (i.e., communication, time management, emotional intelligence, adaptability, active listening, critical-thinking, etc.)
• Experience with QuickBooks is highly 

Actual base pay could vary based on factors including but not limited to experience, subject matter expertise, geographic location where work will be performed, and the applicant's skill set. The base pay is just one component of the total compensation package for employees. Other rewards may include an annual bonus and a comprehensive benefits package. Candidate information, including education and work experience, is verified upon an offer of employment. Falsification of application information may be grounds for denying employment.

Gelfand, Rennert & Feldman is an Equal Opportunity Employer.

For information on our Job Applicant Privacy Notice, please click here.

#LI-TN1

The deadline for applying to this role is Sunday 24th May 2026, end of day, anywhere on Earth.

Team Description    

The ability to effectively evaluate and monitor AI systems will grow in importance as models become more capable, autonomous, and integrated into society. If models can detect and game evaluations, obscure their reasoning, or behave differently under observation, the safety claims that governments and developers rely on become unreliable. Understanding and addressing these risks is essential to ensuring that oversight of advanced AI systems keeps pace with their capabilities. 

The Model Transparency team is a research team within AISI focused on ensuring that evaluations, assessments, and monitoring of frontier AI systems remain reliable as models become less transparent. We research how and why oversight is declining – through phenomena such as evaluation awareness, unfaithful chain-of-thought reasoning, and changes in model architectures – and develop methods (including white and black box methods) to detect, measure, and mitigate potential issues. We share our findings with frontier AI companies (including Anthropic, OpenAI, DeepMind), UK government officials, and allied governments, and publicly to inform their deployment, research, and policy decisions. We also work directly with safety teams at frontier labs, contributing to safety case reviews and helping improve their alignment evaluation methodology. 

Our recent work includes auditing games for sandbagging, reproducing natural emergent misalignment from reward hacking, and identifying open-weight language models that game propensity evaluations. 

Role description

We're looking for Research Scientists and Research Engineers for the Model Transparency team with expertise in technical AI safety – such as interpretability, capability or alignment evaluations, model transparency – or with broader experience with frontier LLM research and development. An ideal candidate would have a strong track record of high-quality research in technical AI safety or adjacent fields. 

• Research Scientists, drive the technical substance of our work – staying abreast of the literature, proposing and designing experiments, conducting rigorous analyses, and owning the evidence stack from experiment through to written output. They write, critique, and strengthen the team's reports and publications. 
• Research Engineers, build the systems and tooling that make our research possible and fast – scaling experimental workflows, automating processes, solving infrastructure challenges, and creating systems that accelerate the entire team's output.

We're interested in candidates along the spectrum between Research Engineers and Research Scientists. The application form will ask you to indicate which role you lean towards. 

The team is led by Joseph Bloom, advised by Geoffrey Irving. You'll work with talented, mission-driven technical staff across AISI, including alumni from Anthropic, OpenAI, DeepMind, and top universities. You may also collaborate with external research teams including those at frontier AI labs, METR, and FAR. 

We are open to hires across a range of experience levels.

This role requires three days a week in person, with flexibility for occasional periods of remote working. 

Representative Projects You Might Work On

• Developing a chain-of-thought monitorability benchmark and comparing monitorability properties across frontier AI systems, leveraging AISI’s unique access to reasoning traces from multiple labs. 

• Designing and running experiments on open-weight models to study alignment and oversight-relevant phenomena – such as reproducing emergent misalignment from reward hacking, or red-teaming techniques like inoculation prompting and character training. 

• Using white-box and interpretability methods – such as activation oracles, sparse auto-encoders or probes – to detect misalignment that isn’t visible through behavioural evaluation alone. 

• Building tooling and infrastructure for our research – including agent orchestration, large-scale RL pipelines, mechanistic interpretability methodologies, and auditing agents. 

The work could also involve: 

• Reviewing frontier lab risk assessments and safety cases, providing independent analysis of alignment claims before deployment decisions. 
• Conducting literature reviews and expert interviews to map the state of model transparency risks and inform AISI’s strategic priorities. 
• Translating technical findings into actionable insights for AISI evaluation teams, UK government officials, and international partners. 

What we’re looking for   

If you’re unsure whether you meet the criteria below, we’d encourage you to apply anyway – we’d rather you erred on the side of applying than not. 

Requirements for both roles:

• A get-things-done mindset – you take ownership, move fast, and care about shipping work that matters. 

• A combination of self-sufficiency and enthusiasm for teamwork – you’re equally happy defining your own agenda and contributing to shared goals. You’re excited about growing, giving and receiving feedback, and building something together. 

• An ability to build, supervise and orchestrate AI agents to complete tasks effectively, while verifying and maintaining quality of work. 

• A demonstrated track record of relevant, high-quality work – whether technical publications, blog posts, or other publicly visible contributions. 

Research Scientists – our requirements are: 

• Hands-on research experience with large language models (LLMs) – such as evaluating or fine-tuning models, developing and testing monitors, or auditing models with white-box or black-box techniques. 

• Ability and experience in writing research code for machine learning experiments, including experience with ML frameworks like PyTorch or evaluation frameworks like Inspect. 

• An ability to write high-quality, concise research proposals that are well-motivated, tractable, and coherent. 

• Good research taste – an ability to identify what’s important, choose productive directions, and avoid getting lost in dead ends. 

• An ability to read research critically, identify flawed arguments, and poke holes in safety claims. 

We don’t expect RS candidates to meet all of the following, but they are useful signal: 

• Experience designing and running alignment evaluations or working on model transparency research. 

• Experience with interpretability or white-box methods – such as mechanistic interpretability, sparse autoencoders, probing, or activation analysis. 

• Familiarity with alignment literature, current methods for post-training and aligning LLMs, and the current state of the field. 

• Prior mentorship or training within technical AI safety – such as through the MATS program or similar. 

Research Engineers – our requirements are: 

• Strong software engineering skills and experience building systems that support ML research – infrastructure, pipelines, tooling, or experimental platforms. 

• Ability and experience writing production-quality code in Python and familiarity with ML frameworks like PyTorch. 

• Experience working with LLMs at scale in some capacity – fine-tuning, deploying, evaluating, or building scaffolds around them. 

• An understanding of the needs of research scientists, experience working within and supporting a research team or building tools to support research. 

We don’t expect RE candidates to meet all of the following, but they are useful signal: 

• A track record of scaling AI automation – getting agents to do useful work, building orchestration systems, or accelerating research workflows with AI tooling. 

• Experience working with very large models (~100B+) at scale, including post-training (RL, RLHF, DPO), fine-tuning pipelines, or distributed interpretability work on models that don’t fit into memory. 

• Experience with mechanistic interpretability tooling or white-box analysis infrastructure at scale. 

• Strong open-source contributions, particularly related to LLMs or AI safety. 

• Proficient usage of LLM coding tools and agents. 

Selection process  

Candidates should expect to go through some or all of the following stages: 

1. CV / application review 
2. Screening call
3. Technical assessment
4. Research interview
5. Behavioural interview
6. Final interview with members of the senior leadership team

*****2 Open Headcount - Can be London or Lisbon. ****

How you will make an impact:

The Solutions Consulting team is made up of motivated, tech-savvy communicators – team players who make an impact across the whole organization. This is a pre-sales role that sits at the intersection of Sales, Product, Engineering, and Marketing -- you're looked at not just as a product expert, but as a thought leader that helps drive the future of the Iterable platform and our customers' MarTech ecosystems. You’ll constantly be learning and applying a broad range of skills, collaborating with diverse internal and external teams – guiding marketers, tech teams, product managers, and C-level executives on how to best unlock the full value of Iterable.

We're looking to expand our organization with teammates who are intellectually curious and willing to embrace challenges, all while keeping our company values of Humility, Trust, Growth Mindset, and Balance top of mind. 

By learning about prospects’ goals, crafting solutions, and giving feedback you’ll have daily opportunities to hone your sales and technical presentation skills. You’ll demonstrate the power and value of the Iterable platform using creative brainstorming, critical thinking, and problem-solving. You will also get to tackle a broad range of situations beyond sales presentations, including internal education and technical projects.  

One of our core values is Growth Mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please apply as we value applicants for the skills they bring beyond a job description.

How you will make a difference:

• Work closely with our Account Executives to assess prospect challenges, think critically to devise solutions, and strategize how to present that information
• Generate excitement around the Iterable platform by delivering compelling demonstrations and technical presentations tailored to diverse audiences
• Guide prospects and customers through structured platform evaluations and trials by aligning on success criteria, designing use-case driven test plans to help teams confidently make buying decisions
• Investigate prospects' technical landscape to provide a seamless integration recommendation
• Support prospects from initial scoping through to successful handoff to our Professional Services team
• Play a major role in helping to close SaaS deals
• Liaison with internal teams to deliver new features and drive adoption of the Iterable platform, as well as supporting up-sells and account growth
• Help prospects see the potential of Iterable AI by brainstorming innovative use cases, validating feasibility, and translating opportunities into practical next steps that drive measurable impact
• Continually invest in your own career through opportunities that enable you to grow professional interests that coincide with the growth of our org
• Have the opportunity to travel and be on-site with prospects when warranted

We are looking for people who:

• 4+ years in a similar pre-sales role, preferably SaaS and/or MarTech
• Technically curious and self-motivated – passionate about learning
• Deep knowledge in any of the following areas, particularly in the Martech/Adtech ecosystem: Mobile Integration, APIs, JSON, ElasticSearch, Programming
• Demonstrably strong verbal and written communication skills
• Team players who are willing to constantly iterate and drive results
• Ability to travel for work
• Fluency in English is required; proficiency in one additional European language (German, French, Spanish, Swedish, Norwegian, or Finnish) is strongly preferred

Perks & Benefits: 

• Competitive salary, meaningful equity, & pension
• Comprehensive Private Medical Insurance
• Balance Day (First Friday off every month)
• Paid parental leave
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance
• Monthly Professional Development allowance
• Complete laptop workstation

Job Summary:

Real Chemistry is looking for a Senior Account Manager to join our growing team!

As a Senior Account Manager, you will act as the key day-to-day client contact, managing relationships and taking responsibility for the delivery of several medium to large projects. As a client account lead or captain (depending on the size of the account), you will be responsible for managing the execution of parallel ongoing projects and take an active role in coaching your junior team and ensuring projects are delivered effectively alongside the account lead and/or sponsor.

You should have a clear understanding of the programme as a whole (not just the projects you are working on) across your accounts, increasing your involvement in the strategic planning and financial management of your accounts and focusing on developing your leadership style to actively manage up and down, based on project needs.

What you’ll do:

Client delivery

• Act as day-to-day client contact: provide regular status updates to your client (leading updates on more complex projects); anticipate client needs; respond to client queries and share recommendations (following discussion with your account lead); manage client expectations on timelines, scope of project, etc.; take client briefs and clearly communicate to team members, implementing realistic project plans

• Confidently formulate objectives and strategies for new client work with support from your account lead, ensuring that programme strategy is pulled through

• Lead large projects with less support from your account lead, being accountable for the whole project from start to finish

• Provide counsel to the client throughout the project with confidence to challenge the client when required; manage challenging conversations with the client, as required

• Provide support to your account lead in addressing programme and team challenges

• Formulate solutions to client challenges such as last-minute requests

• Have a clear understanding of the programme as a whole (not just the projects you are working on), including the client objectives, strategy and environment so that you are able to confidently lead internal meetings and client calls

• Ensure momentum is maintained across the programme and contact with client continues whenever the account lead is absent

Business development

• Identify areas for organic growth within existing accounts (evolving existing programmes and/or additional tactics) and confidently sell new ideas in to clients, with support from your account lead

• Play a management role in the new business process (assisting in the production of credentials and pitch presentations, coordinating and managing team members and external suppliers), having a significant share of voice/visibility with the internal cross-functional team

Team management

• Begin to develop your leadership style, instilling professional values and good working habits in your teams

• Look for opportunities to inspire, motivate, and empower your team on a daily basis, leading by example and setting the standard for junior accounts team members

• Provide coaching and mentoring to junior team members and manage their performance

• Support interviewing for new AAs – SAAs

• Line manage at least one accounts team member AAs – SAAs, providing day-to-day support and longer-term career development guidance

Financial management

• Develop more complicated budgets for integrated client programmes and track resource use against available budget throughout the month

• Coach others to develop accurate budgets for clients, reflecting back on previous projects and gathering cost quotes

• Support your account lead with the financial management of your accounts, proactively getting involved in invoicing, forecasting and resourcing and attend month-end finance meetings

• Complete your timesheets and expense claims accurately and on time and take an active role in reviewing timesheets across the majority of your projects

Agency environment

• Participate in internal initiatives which contribute to the culture or development of the Medical Communications team, or Real Chemistry more broadly (e.g., compliance/socials/inspiration)

• Keep abreast of award-winning work and insights from other industries, sharing as appropriate

This position is a perfect fit for you if:

• ​Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you.

• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving.

• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data.

• You are highly organized self-starter, able to work independently and under tight deadlines.

What you should have:

• Relevant degree in a scientific subject

• Excellent business communication skills, including informal/formal presentation and writing skills

• Excellent business communication skills

• Informal/formal presentation and writing skills; including presenting to clients

• Skilled in data communication

• Experience with Microsoft Office tools (PowerPoint, Word, and Excel).

• Edit junior staff writing and presentation material

• Must have Medical Education experience; integrated experience preferred.

• Skilled in data communication and able to develop final documents and presentations

• Able to develop solutions to client needs and problems, with a strong work ethic and a track record of high-quality deliverables on schedule and on budget

• Experience coaching and mentoring junior team members

• High energy, able to effectively operate in a fast-paced, growing and evolving environment

What You’ll Do:

The Data Science team is focused on developing an advanced reliability platform. This system covers various aspects of data processing and analysis, including data intake, deriving meaningful metrics, identifying unusual patterns, predicting potential issues, finding slow processes in distributed systems, and using automated analysis to determine causes. We collaborate closely with internal teams like Fleet, Infrastructure, and AI Platform to enhance system stability, optimize resource use, shorten resolution times, and maintain service availability and financial performance.

About the role:

As a Senior Data & MLOps Engineer, you will design and scale the infrastructure supporting the GPU Intelligence Platform. This involves building pipelines for handling data, features, model training, and delivering insights and predictions for system health and optimization. You will transition the system from initial prototypes to a production environment operating across the fleet, focusing on scalability, separating real-time service from periodic processing, and dynamic resource management based on system load and data frequency. You will architect and deploy these scalable distributed services using orchestration technologies.

Key responsibilities:

• Design and implement scalable data ingestion pipelines.
• Build feature processing and baseline computation systems.
• Productionize models for prediction and detection.
• Develop and operate low-latency service and robust offline workflows.
• Architect horizontally scalable services with clear separation between components, leveraging orchestration for distribution.
• Implement monitoring and feedback loops for continuous model and signal improvement.
• Collaborate with Platform teams to integrate operational signals into monitoring and diagnostics.
• Implement a scalable solution for mitigation and structured analysis.

Who You Are:

• 7+ years of experience in data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments.
• Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent).
• Strong experience designing time-series feature pipelines and operating large-scale observability systems.
• Experience building and maintaining feature stores and ensuring offline/online feature parity.
• Hands-on experience deploying ML models to production, including versioning, monitoring, rollback, and drift detection.
• Experience designing scalable microservices deployed in Kubernetes-based environments.
• Strong proficiency in Python and at least one systems language (Go, Rust, or C++).
• Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm).
• Familiarity with GPU telemetry systems such as NVML or DCGM and hardware-level monitoring concepts.
• Demonstrated experience scaling systems from Proof-of-Concept to production-grade, fleet-level deployments.

Preferred: 

• Experience working on GPU fleet management, hyperscale infrastructure, or AI training clusters.
• Experience building anomaly detection or failure prediction systems for hardware or distributed systems.
• Experience implementing distributed straggler detection or collective-level performance analysis systems.
• Experience developing agentic or LLM-powered reasoning systems for diagnostics or operational intelligence.
• Background in reliability engineering or SRE practices.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love building systems that turn raw infrastructure telemetry into actionable intelligence.
• You’re curious about distributed systems failure modes, GPU performance pathologies, and reliability engineering at scale.
• You’re excited by the idea of moving from anomaly detection to prediction to autonomous root cause reasoning.
• You enjoy designing platforms that protect uptime, revenue, and customer trust through proactive systems thinking.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

What You’ll Do:

The Physical AI Field Engineering team at CoreWeave works directly with engineering organizations to deploy AI solutions that transform how engineering teams analyze test, simulation, and manufacturing data. This team partners closely with customers to apply machine learning techniques to intractable physics problems, helping them extract insights from large engineering datasets and improve decision-making across their development workflows.

Customer Success Engineers work alongside Forward Deployed Data Scientists and other technical specialists to deliver real-world AI applications inside customer environments. By combining engineering domain expertise with applied machine learning, the team ensures that AI solutions deliver measurable impact within production engineering workflows.

About the role:

• CoreWeave is seeking a Senior Customer Success Engineer to support the technical delivery of AI solutions for engineering teams.
• In this role, you will work closely with delivery leads and data scientists to implement customer solutions using engineering datasets such as simulation, testing, and manufacturing data.
• You will apply machine learning concepts within real engineering workflows while helping customers understand and adopt AI-driven approaches to problem solving.
• Your work will contribute directly to the successful deployment and adoption of AI solutions across multiple customer projects.

Who You Are:

• Bachelor’s or Master’s degree in Mechanical Engineering, Aerospace Engineering, Manufacturing Engineering, or a closely related technical discipline.
• Experience working with engineering development workflows involving simulation, test, or manufacturing data.
• Experience working with engineering datasets and analytical tools to investigate and solve complex technical problems.
• Understanding of machine learning concepts and data-driven modeling approaches.
• Experience learning and applying new technical platforms or analytical tools within engineering or technical environments.
• Experience collaborating with cross-functional technical teams to deliver complex technical solutions.
• Experience communicating technical findings to engineering stakeholders.

Preferred: (if applicable)

• 5+ years industry experience in automotive, aerospace, advanced manufacturing, or related engineering domains.
• Hands-on experience working with physical testing data, simulation workflows, or design optimization.
• Experience working with large engineering datasets or data-driven engineering tools.
• Fluency in German or Spanish.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You enjoy solving complex engineering problems using data-driven approaches.
• You are curious about how machine learning can enhance engineering decision-making.
• You enjoy learning new technical tools and applying them to real-world engineering challenges.
• You thrive when working collaboratively with engineers, data scientists, and customers to deliver meaningful solutions.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

About the Team:

CoreWeave is seeking a Senior Business Development Manager to support our growing Partner Ecosystem in EMEA. You’ll join a high-impact, collaborative partnerships organization that works closely with Sales, Marketing, Product, and our North America partnerships team to build differentiated joint offerings and go-to-market motions with top-tier partners across the AI and cloud ecosystem.

About the Role:

CoreWeave is seeking a Senior Business Development Manager to support our growing Partner Ecosystem in EMEA. You’ll join a high-impact, collaborative partnerships organization that works closely with Sales, Marketing, Product, and our North America partnerships team to build differentiated joint offerings and go-to-market motions with top-tier partners across the AI and cloud ecosystem.

In this role, you will forge and lead strategic partnerships with leading infrastructure, cloud and ISV, across EMEA, with a strong focus on the Data & AI ecosystem. You’ll define joint strategies and integrations, drive co-sell motions, and build scalable programs that accelerate revenue and market expansion. You will work cross-functionally to design and execute quarterly business plans with partners and ensure our joint value proposition is clearly understood and adopted across partner GTM teams.

Key responsibilities

• Build and lead the management of key partnerships, including infrastructure, cloud, ISV partners, defining strategy, go-to-market product integrations, co-innovation, and joint offerings.
• Work with partners to develop new and innovative integrations and distribution models that drive revenue and expand the reach of CoreWeave solutions.
• Actively participate in the sales cycle for larger opportunities to drive co-sell with partners, partnering closely with the field and partner organizations.
• Proactively build relationships with partner GTM teams and educate them on the joint value proposition of CoreWeave and their respective offerings.
• Collaborate with Marketing to design and implement innovative partner marketing programs that support regional pipeline and revenue goals.
• Develop and execute quarterly business plans with partners, including goals, KPIs, and joint activities to ensure alignment and accountability.
• Nurture strong field engagement between CoreWeave teams and partner sales organizations to ensure active co-selling and opportunity sharing.
• Serve as a visible ambassador for CoreWeave within the EMEA partner ecosystem, articulating our differentiation and competitive positioning.

Who You Are:  

• Experienced partnership leader: 5+ years of experience in roles focused on building and leading partnerships in the Data & AI ecosystem with cloud and ISV partners.
• AI ecosystem fluent: Strong understanding of the companies, products, and use cases across AI/ML, cloud, and data, and how they come together in modern AI stacks.
• Deep strategic partner experience: Proven experience leading partnerships with NVIDIA as well as at least one of Microsoft Azure, Amazon Web Services, or Google Cloud.
• Clear and adaptable communicator: Ability to understand and communicate complex technical concepts to both technical and non-technical audiences at all levels of partner and customer organizations.
• Value proposition builder: Strong ability to develop compelling joint value propositions with partners and cultivate champions within partner organizations.
• Executive presence & GTM savvy: Top-notch presentation, negotiation, and business planning skills, with a track record of influencing senior stakeholders.
• Collaborative operator: Demonstrated success in highly collaborative partnerships with GTM, Marketing, and Product teams, driving to shared outcomes.
• Strategic and execution-oriented: Comfortable working with ambiguity, prioritizing efforts, and building structured plans to execute against aggressive growth goals.
• Program and relationship manager: Strong project and relationship management skills; you’re comfortable spending a significant amount of time working with external stakeholders to launch and grow partnerships successfully.

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love building long-term, strategic relationships and finding creative ways to unlock mutual value with partners.
• You’re curious about the rapidly evolving AI and cloud ecosystem and stay current on new technologies, players, and business models.
• You’re an expert at connecting dots across teams, organizations, and markets to design scalable GTM plays that drive measurable impact.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is £90,000.00 - £150,000.00. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Monolith AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of agentic applications and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.

About the role:

We’re seeking a Principal Software Engineer to lead the architectural evolution of our platform as we scale to meet growing demand from the world’s largest engineering companies. This is a hands-on technical leadership role where you’ll drive critical architectural initiatives while mentoring our engineering team. You’ll own — in conjunction with the VP of Engineering — the technical vision and execution of our platform’s evolution to a more distributed architecture, making it agentic ready for the next generation of AI applications.

In this role, you will:

• Technical Leadership & Architecture
• Drive the ongoing transition from monolithic to distributed architecture.
• Design and implement architecture to be agentic ready, enabling rapid deployment of AI products and MCP server integrations.
• Own technical decisions balancing immediate business needs with long-term architectural goals.
• Hands-On Development
• Write production-quality Python code for critical platform components.
• Build and optimize distributed compute services.
• Implement reliable workflow orchestration patterns.
• Team Mentorship & Collaboration
• Mentor mid-level developers, elevating the technical capabilities of the entire team.
• Establish engineering best practices and architectural patterns.
• Collaborate with product and business stakeholders to translate requirements into technical solutions.
• Guide technical decision-making and prioritization across the engineering organization.
• Interview and onboard new engineers.

Who You Are:

• 12+ years of software engineering experience with at least 2 years in principal/staff engineering roles.
• Expert-level Python development skills with production experience at scale.
• Deep expertise in distributed systems architecture.
• Strong Kubernetes experience with production workloads.
• Hands-on experience with workflow orchestration tools (Temporal, Airflow, Kubeflow, or similar).
• Cloud platform expertise (AWS required, Azure & GCP beneficial).
• Experience with data processing frameworks (Spark, Athena, Ray, or similar).
• Experience with systems having ML Engineering and MLOps aspects.
• Proven track record of leading architectural transformations in growing companies.
• Excellence in technical communication and stakeholder management.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Technical Excellence: You write clean, maintainable code and design systems that scale.
• Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term goals.
• Strong Leadership: You proactively identify problems and drive solutions forward.
• Mentorship Mindset: You elevate others through knowledge sharing and patient guidance.
• Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion.
• Customer Obsession: You understand that our success is measured by our customers’ success.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

What You’ll Do:

The Physical AI Field Engineering team at CoreWeave works directly with enterprise engineering organizations to apply AI and machine learning to intractable physics challenges. This team partners closely with customers to validate the technical feasibility of AI solutions, demonstrate their value, and ensure that proposed solutions can be successfully deployed in real engineering environments.

By working closely with sales, product, and engineering teams, the group plays a critical role in helping customers understand how AI technologies can be applied to solve real-world engineering problems while providing product insights that help guide the evolution of the platform.

About the role:

• CoreWeave is seeking a Lead Solutions Architect to serve as a technical expert supporting enterprise customers exploring AI-driven solutions for engineering challenges.
• In this role, you will collaborate with sales teams and Deployment Strategists to understand customer requirements and design technical approaches that demonstrate the value of AI in complex engineering workflows.
• You will lead proof-of-value initiatives, prototype AI workflows, and validate technical feasibility using customer data.
• Your work will help ensure that proposed solutions are technically credible, deliver measurable value, and can be successfully transitioned to implementation teams.

Who You Are:

• 5+ years of experience in solutions engineering, solutions architecture, or technical consulting within a software, AI, or engineering technology environment.
• Experience designing or prototyping technical solutions that apply AI, data science, or advanced analytics to real-world business or engineering problems.
• Experience working directly with customers to gather technical requirements and translate them into deployable technical solutions.
• Experience leading proof-of-concept initiatives or feasibility assessments to validate the value of technical solutions.
• Experience communicating complex technical concepts clearly to both technical practitioners and senior stakeholders.
• Experience working collaboratively with cross-functional teams including sales, engineering, and product teams.
• Experience working in engineering-heavy industries such as automotive, energy, aerospace, or advanced manufacturing.
• Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, Mathematics, or a related technical field.

Preferred: 

• Experience working with AI/ML workflows or data science tooling.
• Experience programming or scripting in languages such as Python, MATLAB, R, or SQL.
• Experience working with simulation, CAE, or engineering R&D workflows.
• Experience supporting enterprise software sales cycles or technical evaluations.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You enjoy solving complex technical problems and exploring how AI can unlock new engineering capabilities.
• You are curious about emerging AI technologies and how they can be applied to real-world industrial challenges.
• You enjoy collaborating with both technical and commercial teams to design solutions that deliver measurable value.
• You thrive in environments where learning, experimentation, and innovation are encouraged.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You'll Do:

The Physical AI Field Engineering team at CoreWeave is responsible for deploying AI solutions within enterprise engineering organizations and ensuring customers realize measurable value from machine learning applications. The team works across engineering disciplines to turn complex test and simulation datasets into actionable insights, helping customers improve engineering decisions and accelerate product development. Lead Customer Success Engineers serve as technical delivery leaders, coordinating multiple workstreams and ensuring that customer engagements deliver reliable, high-quality outcomes.

About the role: 

CoreWeave is seeking a Lead Customer Success Engineer to lead the delivery of AI solutions for strategic customer engagements. In this role, you will design and oversee end-to-end technical delivery, translating complex customer objectives into structured workstreams, milestones, and measurable outcomes. You will coordinate execution across product, engineering, and data science teams while acting as the primary technical point of accountability for customer delivery. Your work will ensure that complex AI deployments are delivered reliably, on time, and with clear value to customer stakeholders.

Who You Are:

• 6+ years experience leading complex technical projects or delivery programs involving enterprise engineering customers.
• Experience designing technical solutions that integrate multiple technologies, tools, or analytical approaches.
• Experience translating customer objectives into structured technical workstreams, milestones, and delivery plans.
• Experience managing delivery risks, technical dependencies, and scope decisions across cross-functional teams.
• Experience communicating technical progress and outcomes clearly to both technical and non-technical stakeholders.
• Strong engineering, scientific, or technical background with the ability to engage deeply with technical problems when required.
• Experience working collaboratively with product, engineering, and data science teams to deliver technical solutions.
• Bachelor’s or Master’s degree in Engineering, Physics, Mathematics, Computer Science, or a related technical discipline.

Preferred:

• Experience applying AI, machine learning, or advanced analytics within engineering environments.
• Experience working with engineering test or simulation data.
• Experience working in high-growth technology or startup environments.
• Experience managing multiple concurrent technical delivery projects.

Wondering if you're a good fit? 

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love to design technical solutions that solve complex customer challenges.
• You're curious about how AI can transform engineering and industrial workflows.
• You're an expert in leading technical delivery while collaborating closely with engineering and data science teams.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Monolith AI Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers “ship science, faster.” From evolving distributed architecture to enabling the next generation of agentic interfaces and physical AI, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.

The Fullstack Engineer (Frontend Focus) will own and evolve the Monolith platform’s product surface — the data‑heavy, workflow‑centric web experience where engineers design experiments, compare runs, interact with agents, and turn complex physical test data into decisions. You’ll partner closely with Design, Product, and Backend Engineering to ship UI and UX that feel fast, intuitive, and trustworthy for non‑ML expert engineers, while also contributing to our Python backend services when needed.

About the Role:

We’re targeting an IC5 Fullstack Staff Engineer with a strong frontend background, and are also open to exceptional Senior Fullstack Engineer II (IC4) candidates who can operate at staff‑like scope. The role is heavily frontend‑weighted (roughly 80–90%), focused on owning the Monolith web application: component architecture, design system evolution, performance, and UX for complex, data‑rich workflows. You’ll also work across our Python services (FastAPI/Flask) to shape and integrate APIs, bring new platform capabilities to the UI, and occasionally deliver backend features that unlock better user experiences.

You’ll be a key partner in defining how engineers experience Monolith’s “AI test lab” — from agent chat to experiment exploration and monitoring — and will help set the bar for frontend quality, reliability, and developer experience across the team.

In this role, you will:

Frontend Ownership & Experience

• Own significant areas of the Monolith frontend, from architecture and component design to implementation, refactors, and ongoing maintenance.
• Design and build modern, responsive UIs using React and TypeScript, with a focus on complex, data‑heavy views (tables, charts, experiment timelines, dashboards, agents) that remain fast and understandable for users.
• Collaborate with Design to evolve our design system and component library, ensuring consistency, accessibility, and a high‑quality visual language across the product.
• Drive frontend performance improvements (bundle size, rendering strategies, network usage) to keep the app responsive even under large datasets and long‑running workflows.
• Champion accessibility and usability, ensuring the interface works well for time‑pressed engineers in demanding environments.

Fullstack Development & Platform Integration

• Work closely with backend engineers on our Python services to design clean API contracts, shape data models for UI needs, and debug issues across the stack.
• Implement and integrate backend functionality (primarily in Python) when it materially improves UX or unlocks new workflows, including occasional work on API endpoints, background tasks, and data transformations.
• Collaborate with our agent and platform teams to expose agentic capabilities (e.g. platform agent) safely and intuitively in the frontend experience.
• Contribute to fullstack observability — instrumenting both frontend and backend for metrics, logging, and tracing, and using that data to guide product and performance improvements.

Collaboration, Quality & Developer Experience

• Work hand‑in‑hand with Product and Design to scope projects, define success criteria, and break down ambiguous problems into iterative deliverables.
• Maintain a high bar for code quality through thoughtful design, code reviews, tests (unit, integration, and E2E), and documentation.
• Help improve our frontend developer experience — build tooling, workflows, and patterns that make it easier for the team to ship reliable UI quickly (Storybook/design‑system improvements, local dev ergonomics, CI checks, etc.).
• Mentor other engineers on frontend best practices, UX thinking, and effective fullstack collaboration.

Who You Are:

Experience & Level

• Typically 7+ years of professional software engineering experience, including substantial time building and maintaining complex, user‑facing web applications as a fullstack or frontend‑leaning engineer.
• A track record of operating at Senior/Staff scope: owning significant product surface area, driving cross‑team projects, and making architectural decisions that last.

Frontend Expertise

• Advanced proficiency in React and TypeScript, with experience structuring large‑scale frontends (modules, state management, routing, data‑fetching patterns).
• Strong command of web fundamentals
• Experience building data‑heavy and visualization‑centric UIs — e.g. dashboards, charts, time‑series visualizations, experiment or metrics explorers.
• Familiarity with design systems and component libraries (Storybook or similar), and an eye for when design details materially impact user trust and productivity.

Backend & Platform Skills

• Solid experience with Python in production environments (FastAPI, Flask, or Django), including building and integrating REST or GraphQL APIs that power frontend experiences.
• Comfortable working in service‑oriented or microservice architectures, reasoning about data flows, failure modes, and performance across boundaries.
• Experience with SQL databases (e.g. PostgreSQL) and practical data modelling for product features.
• Familiarity with modern cloud and container stacks (Docker, Kubernetes, and at least one major cloud provider).

Quality & Ways of Working

• Strong habits around testing (unit, integration, and E2E) and CI/CD for frontend and backend changes.
• Effective collaborator with Product, Design, and cross‑functional stakeholders; clear written and verbal communicator who can explain trade‑offs and constraints.
• Comfortable working in a fast‑moving, high‑ambiguity environment where we balance shipping quickly with maintaining a reliable platform.

Preferred:

• Experience building UIs for technical or data‑savvy users (ML engineers, data scientists, physical test engineers, or similar), especially in B2B SaaS products.
• Familiarity with GraphQL and typed API clients in React (or strong REST plus a desire to pick up GraphQL quickly).
• Experience with SSR/SSG frameworks, particularly for performance‑sensitive dashboards.
• Prior work with time‑series and experiment tracking tooling, ML platforms, or analytics products.
• Exposure to ML/AI workflows (experiments, training runs, evaluations, agents) and interest in “tools for AI engineers” as a product domain.
• Experience with frontend observability (Sentry, Datadog, OpenTelemetry, etc.) and using telemetry to guide UX improvements.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Product‑minded craftsperson – you care as much about the user experience and clarity of a workflow as you do about the quality of the code behind it.
• Detail‑oriented on complex UX – you enjoy making intricate, data‑heavy interfaces feel simple and intuitive, and you’re willing to sweat the small interactions to get there.
• Pragmatic and velocity‑driven – you know when to build the perfect abstraction and when to ship a well‑engineered, incremental improvement that moves the product forward.
• Collaborative and empathetic – you build strong relationships with engineers, designers, and PMs, and you’re comfortable iterating based on feedback from customers and colleagues.
• Owner’s mindset – you feel responsible for the experience end‑to‑end, follow through on problems across the stack, and care deeply about the impact your work has on customers and the business.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Monolith Data Science team is building a layered reliability platform that shifts CoreWeave from reactive troubleshooting to proactive reliability engineering. The platform spans telemetry ingestion, feature engineering, anomaly detection, failure prediction, distributed straggler detection, and agentic root cause analysis. As a forward deployed function, we partner closely with Fleet, Infrastructure, and AI Platform teams to embed data science directly into production environments—improving cluster reliability, increasing effective utilization (MFU), reducing MTTR, and protecting uptime and revenue.

About the role:

As a Forward Deployed Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling, and system efficiency in real time. You will design experiments, analyze large-scale system telemetry data, and build predictive and optimization solutions that are tightly integrated into production workflows. This role blends hands-on deployment with analytical rigor, turning complex infrastructure data into measurable improvements in performance and cost. You will translate research and modeling insights into scalable, production-ready systems.

Who You Are:

• MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field
• 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets
• Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit-learn, PyTorch or TensorFlow)
• Demonstrated experience designing and analyzing controlled experiments (A/B testing, causal inference, hypothesis testing)
• Experience working with distributed data systems (Spark, Ray, Dask, or similar)
• Proficiency in SQL and working with large-scale structured datasets
• Experience building, deploying, and maintaining predictive models in production environments
• Strong understanding of optimization techniques (linear programming, convex optimization, stochastic optimization, or reinforcement learning)
• Experience working with time-series data and performance telemetry
• Ability to translate analytical insights into production-ready systems and workflows
• Strong collaboration skills and ability to work cross-functionally in fast-paced environments

Preferred:

• PhD with published research in systems optimization, distributed computing, ML systems, or performance modeling
• Experience with GPU workloads, distributed training, or AI infrastructure
• Familiarity with Kubernetes, containerized workloads, or cloud-native systems
• Experience deploying reinforcement learning or adaptive scheduling systems in production
• Background in capacity planning, forecasting, or resource allocation modeling
• Contributions to open-source ML or systems projects

Wondering if you’re a good fit?
We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams—even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love uncovering hidden failure patterns in massive, noisy infrastructure datasets
• You enjoy working directly with engineering teams to deploy solutions that have immediate real-world impact
• You’re curious about building autonomous, agentic systems that investigate and explain system behavior
• You’re an expert in reinforcement learning, predictive modeling, or large-scale data analysis

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the core platform that powers the world’s most advanced engineering simulation and AI workflows. From evolving distributed architecture to enabling the next generation of AI-agentic applications, this team delivers the performant, reliable, and scalable foundation trusted by the world’s largest engineering companies.

About the Role:

We are seeking an Engineering Manager to lead the Monolith AI Platform Team and help us scale this mission-critical platform. This individual will grow and guide a team of engineers as we push the boundaries of simulation technology and AI-agentic applications. As the Manager of this team you would have the opportunity to:

• Drive the culture and tone for how your team keeps score — both in how they support each other and how they enable the rest of Monolith AI.
• Support your people and create opportunities for them to be challenged and grow.
• Develop a customer-centric mindset, perform regular needs analysis and prioritization, create and deliver roadmaps, and maintain a highly available and reliable platform.
• Work directly with other engineering teams to assess needs and guide their implementations and integrations with your team’s platform.
• Implement processes and standards to achieve a highly mature practice of testing, distributed systems orchestration, and platform delivery to guarantee a first-class customer experience.
• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself.

Who You Are:

• 7+ years of software engineering experience, with at least 3 years primarily focused on Python.
• Demonstrable experience building and/or leading software engineering teams.
• Knowledge of ML engineering principles and practices, especially implementing them within production settings.
• Experience working on data-intensive products, whether high-volume (big data) or high-scale (high-load) systems.
• Experience with cloud infrastructure (particularly AWS, Azure/GCP desirable),  including services such as Athena, Synapse, Spark, or Kubernetes.
• Experience with distributed systems and workflow orchestration (e.g. Temporal, Airflow, Kubeflow, Flyte or similar).
• A bottoms-up leadership philosophy focused on enablement, communication, organisation, and inspiration over task management.

Preferred:

• 2+ years of prior experience managing a software engineering team, including recruitment and retention.
• Experience working on AI-based or ML-powered products in a production environment.
• Distributed computing experience (e.g. Spark, Ray, or similar frameworks).
• Full-stack development experience.
• Experience with containerisation and Kubernetes in production workloads.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Mentorship Mindset: You love helping people on their journeys to become their best selves, elevating others through knowledge sharing and patient guidance.
• Pragmatic Problem-Solver: You balance perfectionism with shipping, making smart trade-offs between short-term delivery and long-term platform goals.
• Technical Excellence: You remain hands-on enough to engage meaningfully in code reviews and technical decisions, and you care about engineering craft.
• Ownership Mentality: You take full responsibility for outcomes and drive initiatives to completion.
• Customer Obsession: You understand that the platform exists to serve customers, and you develop a customer-centric mindset in everything you build.
• Startup Spirit: You’re excited about the dynamism of a fast-growing company and thrive in environments that reward curiosity, adaptability, and impact.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The CoreWeave CAO organization is a team of leaders that love solving problems and building for the future in a controlled, governed environment…all while having fun!  In the exciting, evolving world of AI technology, we support our business partners in making decisions, driving accurate, timely, and scalable accounting operations and reporting. We pride ourselves on being the backbone to support the hyper growth of CoreWeave - The Essential Cloud for AITM.  And as part of the Controllership team, you will be surrounded by expertise across SEC reporting, Technical Accounting, Treasury Accounting and Corporate Accounting.

As the Director, European Controller, you will be the senior financial leader responsible for the integrity of our global financial operations outside the United States. With a primary focus on accounting close, statutory reporting, local compliance, and international tax, you will oversee multi-jurisdictional accounting teams and external partners to ensure seamless global operations. This role is critical for maintaining a robust control environment while supporting the company’s expansion into new international markets.  

About the role:

• Statutory & Local Reporting: Lead the preparation, review, and timely filing of foreign statutory financial statements across all international subsidiaries.  Manage the reconciliation process from US GAAP to local statutory standards (IFRS or local GAAP).
• Global Tax Compliance: Partner with the Tax department to ensure full compliance with international direct and indirect tax laws (VAT, GST, CIT).
• Internal Controls & Governance: Establish and maintain a world-class internal control environment (SOX-aligned) across all international entities. Lead remediation activities for any identified control gaps and ensure consistent application of global accounting policies.
• Multi-Jurisdictional Operations: Manage global shared services or regional accounting teams, ensuring high-quality monthly, quarterly, and annual close processes.
• Audit Management: Act as the primary point of contact for external and internal auditors for all international statutory audits, driving timely and accurate audit completions.
• Strategic Integration: Support M&A activity by leading the financial integration of new international entities, including entity creation, local registrations, and system implementations.

Who You Are: 

• Bachelor’s degree in Accounting, with a CPA/CA or equivalent preferred
• 12-+ years of accounting experience, with at least 5 years of experience leading international operations
• Technical expertise in a wide array of accounting areas, including US GAAP to IFRS conversion
• Strong understanding of international tax regimes and statutory audit requirements in diverse jurisdictions.
• Proficiency in understanding global expansion requirements
• Proven track record of managing remote, cross-functional, and culturally diverse teams.
• Proficient in using an ERP solution with secondary or non-leading ledgers

Preferred:

• Experience in cloud or technology industry preferred with significant capital expenditures

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to lead teams through ambiguity, building out accounting processes, systems, and controls to support complex accounting transactions and ensure accuracy in financial reporting.
• You’re curious about finding new ways to optimize operations and enhance cross-functional collaboration.
• You’re an expert in managing end-to-end accounting close processes, SOX compliance, and audit readiness

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is £111,000 to £148,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Physical AI Field Engineering team at CoreWeave works directly with some of the world’s most advanced engineering organizations to identify, architect, and deploy AI-driven solutions to intractable physics challenges. This team sits at the intersection of industry expertise, machine learning innovation, and large-scale compute infrastructure, helping enterprise customers translate ambitious AI visions into practical, scalable deployments.

As CoreWeave continues to expand its capabilities in AI infrastructure and applied machine learning, this team plays a critical role in helping customers identify transformative engineering problems and design credible technical pathways to solve them.

About the role:

• CoreWeave is seeking a Principal Solutions Architect to translate executive-level AI ambitions into scoped, executable deployment programs inside large engineering organizations, particularly in the automotive and advanced manufacturing sectors.
• In this role, you will partner with Account Executives and Solutions Engineers to shape high-impact AI opportunities and convert them into technically credible starting points for deployment.
• You will engage senior engineering and executive stakeholders to translate broad AI ambitions into structured problem statements and phased implementation roadmaps.
• Your work will ensure that complex AI initiatives move beyond early conversations into clearly scoped programs that Field Engineering teams can implement and scale.

Who You Are:

• 5-10+ years experience working with large-scale engineering organizations such as automotive OEMs, aerospace companies, or advanced manufacturing firms.
• 3+ years experience designing or deploying AI, machine learning, simulation, or data-driven engineering solutions within enterprise environments.
• Demonstrated ability to translate high-level technical strategy into implementation roadmaps and clearly defined technical scopes.
• Experience assessing technical readiness, data availability, and organizational constraints that impact the success of AI deployments.
• Experience collaborating with cross-functional teams including sales, solutions engineering, field engineering, and product teams.
• Strong understanding of AI/ML workflows, data pipelines, and infrastructure considerations for production deployments.
• Experience engaging with senior technical stakeholders including engineering leadership, simulation/test teams, and data platform teams.
• Bachelor’s or Master’s degree in Engineering, Computer Science, Applied Mathematics, or a related technical discipline.

Preferred: 

• Experience identifying repeatable deployment patterns and translating them into product or platform development insights.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You enjoy connecting complex industry problems with emerging AI and infrastructure capabilities.
• You are curious about how machine learning and large-scale compute can transform engineering workflows.
• You enjoy translating complex technical strategy into practical, executable implementation plans.
• You thrive when working across both technical and commercial teams to shape impactful solutions.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Senior DataOps Engineer II will own and drive all things data observability and operations across our client estate — building the practices, tooling, and culture that make Monolith’s data flows debuggable, auditable, and safe to evolve. You’ll sit at the intersection of platform engineering, data engineering, and reliability, implementing end‑to‑end lineage and DataOps practices while mentoring data producers and consumers on how to manage data as a first‑class product.

You’ll partner closely with Monolith’s Product, Engineering and forward‑deployed teams, as well as with CoreWeave’s infrastructure and AI platform groups, to turn fragmented, real‑world engineering data into well‑governed, observable, and operationally robust pipelines powering our SaaS platform and client‑specific deployments.

About the Role:

We’re seeking an Senior DataOps Engineer II who can act as the hands‑on owner for Monolith’s data observability and operational surface: from batch and streaming pipelines running on our platform, through to the lineage, quality, and runbooks that keep customer environments healthy.

You’ll define and roll out DataOps practices (CI/CD, infra‑as‑code, data SLOs, incident response) across the Monolith estate, implement end‑to‑end data lineage and observability, and serve as the go‑to mentor for engineering teams and client‑facing colleagues on best‑practice data management.

In this role, you will:

• Own Monolith’s Data Observability & Operations Surface
• Design and implement the end‑to‑end observability stack for data workloads (metrics, logs, traces, and data‑quality signals) across batch and streaming pipelines.
• Define and maintain operational SLOs/SLAs for critical data flows powering training, inference, and analytics, and ensure they are measurable and actionable.
• Build dashboards, alerts, and runbooks that allow engineers and on‑call responders to quickly detect, triage, and remediate data incidents.
• Standardise “golden paths” for how teams instrument pipelines, expose health signals, and respond to data‑related failures.

• Implement Data Lineage, Quality & Governance
• Deploy and maintain end‑to‑end data lineage for key domains — from client sources through transformations to features, models, and downstream analytics  so teams can debug, audit, and reason about change.
• Define and roll out data quality checks (schema, freshness, completeness, distribution, drift) and ensure failures integrate cleanly into alerting and incident workflows.
• Partner with Security, Compliance, and customer‑facing teams to encode data governance requirements (e.g., retention, residency, access controls) into our pipelines and tooling.
• Help shape metadata models and catalog conventions so that producers and consumers can reliably discover, understand, and use shared datasets.

• Enable DataOps Practices Across Teams
• Establish CI/CD patterns for data pipelines and related infrastructure, including testing strategies, promotion workflows, and change‑management guardrails.
• Drive adoption of infra‑as‑code for data infrastructure (e.g., pipeline orchestration, storage, observability components), reducing manual drift across environments.
• Define and continuously improve DataOps processes — incident response, post‑incident review, change review, on‑call rotations — with a focus on learning rather than blame.
• Evaluate and integrate best‑of‑breed DataOps and observability tooling where it accelerates our teams, balancing build vs. buy pragmatically.

• Partner Across Monolith, CoreWeave & Clients
• Work with Monolith platform, data, agent, and reliability teams to expose observability and lineage as shared services and patterns other engineers can build on.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage underlying storage, compute, networking, and observability in service of robust data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when data issues cross service boundaries or require deeper architectural insight.
• Mentor data producers (product teams, integrations, forward‑deployed engineers) and data consumers (data scientists, analysts, client engineers) on resilient schemas, contracts, and operational practices.

Who You Are:

• Experience & Level
• Typically 5–6+ years of experience in DataOps, Data Engineering, DevOps/SRE for data platforms, or similar roles, including end‑to‑end ownership of production data pipelines and their operations.
• Proven track record of operating at Senior IC scope: leading cross‑team initiatives, introducing new practices/tooling, and improving reliability at the platform level.

• DataOps, Pipelines & Tooling
• Strong hands‑on experience designing, deploying, and operating data pipelines in production (batch and/or streaming), including failure modes, retries, and backfills.
• Practical experience with data orchestration and ETL/ELT tooling (e.g., Airflow, Dagster, dbt, Temporal, or similar) and comfort evaluating and integrating new tools where appropriate.
• Solid SQL and/or Spark skills and experience with at least one major analytical database or warehouse; familiarity with time‑series / telemetry data is a plus.

• Observability, Lineage & Data Quality
• Extensive experience implementing data observability — metrics, logging, tracing, dashboards, and alerting — for data‑centric workloads.
• Hands‑on work with data quality frameworks and/or observability platforms to monitor freshness, completeness, schema changes, and anomalies.
• Experience deploying and using data lineage or metadata/catalog solutions, and applying them to debugging, compliance, and change‑impact analysis.

• Platform, Infrastructure & Automation
• Comfortable working in containerised, cloud‑native environments (Kubernetes plus at least one major cloud provider); experience with GPU‑ or compute‑intensive workloads is a bonus.
• Strong automation mindset: infra‑as‑code, CI/CD, and configuration management for data infrastructure and observability components.
• Proficient in Python for building tooling, pipeline glue, and platform integrations; additional languages are a plus.

• Collaboration, Mentorship & Communication
• Clear communicator who can explain complex data flows and failure modes to both deeply technical and non‑specialist audiences.
• Experience mentoring engineers and data practitioners on better data management, observability, and operational hygiene — through documentation, examples, reviews, and office hours.
• Comfortable working in a fast‑moving, high‑ambiguity environment where we balance rapid iteration with the safety and reliability demanded by enterprise engineering clients.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines power experimentation, training, and inference at scale.
• Background with test, simulation, or time‑series data (e.g., physical test benches, battery labs, automotive/aerospace R&D).
• Familiarity with feature stores, experiment tracking, or model registries and their interaction with upstream data pipelines.
• Prior work in multi‑tenant SaaS platforms, especially those with strong compliance, observability, and uptime requirements.
• Experience supporting or partnering closely with forward‑deployed / professional services teams in complex customer environments.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who bring diverse experiences — even if you don’t tick every single box. Here are a few qualities we’ve found compatible with our team. If some of this sounds like you, we’d love to talk:

• Data‑obsessed operator – You care deeply about making data systems observable, predictable, and easy to reason about, not just “working most of the time.”
• Systems thinker – You enjoy mapping complex data flows across services, understanding failure modes, and designing for graceful degradation and rapid recovery.
• Pragmatic – You know when to build the ideal abstraction and when to ship the smallest change that meaningfully reduces risk or toil.
• Collaborative mentor – You get energy from helping other teams level up their data practices, and you can influence without heavy process or authority.
• Owner’s mindset – You feel responsible for the outcomes of the platform as a whole, not just the code you write, and you follow issues across boundaries until they’re truly resolved.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for transitioning existing client environments to Monolith AI’s next-generation platform, maintaining the high velocity needed to support a rapidly growing customer base. This team works closely with Customer Success and Product to ensure migrations are accurate, meet defined business requirements, and are delivered at scale.

About the Role:

Monolith AI is seeking a talented Software Developer for an intensive 3-month migration project transitioning existing client environments to our next-generation platform. This role requires a developer who excels at rapidly understanding undocumented systems, extracting clarity from complex database structures, and building practical migration tooling in Python. You’ll work closely with our 15-person technical team (currently doubling), collaborating extensively with Customer Success and Product to ensure migrations meet defined business requirements while maintaining high velocity.

In this role, you will:

• Rapid System Understanding
  • Quickly grasp existing PostgreSQL database schemas through code inspection, team discussions, and reverse engineering
  • Understand new platform database architecture and how legacy data maps to the new structure
  • Work with pickle files and S3 object storage to understand serialized data structures
  • Extract clarity from poorly documented legacy systems through hands-on investigation
• Cross-Functional Requirements Gathering
  • Collaborate with Customer Success to understand client migration requirements and acceptance criteria
  • Partner with Product team to define and iterate on what constitutes acceptable migration outcomes
  • Balance technical constraints with business needs to establish pragmatic migration standards
  • Clarify ambiguous requirements and drive decisions on edge cases and trade-offs

• Product Context & Impact Analysis
  • Understand how database entries and S3-stored objects drive UI behavior and user workflows
  • Work with the existing team to learn system behavior through discussions and knowledge transfer
  • Identify how legacy data structures distribute across new platform tables and storage

• Migration Tool Development
  • Build Python migration scripts to convert legacy notebooks to the new platform format
  • Work with Flask and FastAPI layers to understand API interactions and data flow
  • Handle pickle file deserialization and data transformation logic
  • Implement validation against defined Customer Success requirements (not 100% data integrity)

• Velocity & Communication Management
  • Maintain rapid project pace with tight 3-month timeline
  • Provide frequent progress updates to the tech lead on development speed and blockers
  • Proactively communicate risks, timeline concerns, and decision points
  • Make pragmatic technical decisions that balance quality with delivery speed

• Testing & Validation Against Requirements
  • Test migration outputs against Customer Success acceptance criteria
  • Validate migrated notebooks meet defined business requirements
  • Identify and communicate gaps between migration output and requirements for product decisions

• Process Documentation & Knowledge Transfer
  • Document the migration process, key decisions, and data mapping logic
  • Create runbooks for executing migrations and handling common issues
  • Transfer knowledge primarily through discussions with the existing team
  • Prepare materials enabling team to execute and troubleshoot migrations post-contract

Who You Are:

• 3+ years of professional software development experience
• 2+ years working with Python in production environments
• Experience working with PostgreSQL databases and complex data structures
• Demonstrated ability to reverse engineer and understand undocumented systems
• Previous work in fast-paced, deadline-driven environments
• Programming: Strong Python proficiency including handling pickle files, data processing, and object serialization
• Databases: Solid understanding of PostgreSQL including complex data structures, relationships, and schema interpretation
• APIs: Familiarity with Flask and/or FastAPI frameworks and RESTful API concepts
• Cloud Storage: Experience with S3 or similar object storage services for reading/writing data
• System Investigation: Ability to read and understand existing codebases to extract system behavior
• Version Control: Proficiency with Git and collaborative development workflows

Preferred:

• Experience with data migration or system modernization projects
• Background working with legacy systems or technical debt remediation
• Familiarity with Jupyter notebooks or similar computational environments
• Previous contract or consulting roles requiring rapid onboarding
• Experience in startup or scale-up environments with evolving requirements
• Knowledge of data serialization formats and their trade-offs
• Prior work extracting understanding from poorly documented codebases
• Experience balancing technical perfection with business pragmatism

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• Rapid Learner: You can quickly understand complex, undocumented systems through code inspection and experimentation, and extract clarity from incomplete information.
• Pragmatic & Velocity-Driven: You thrive in fast-paced environments with tight deadlines, make practical trade-offs between thoroughness and speed, and maintain a strong bias toward action and delivery.
• Communicator: You proactively provide progress updates, surface blockers early, and clearly articulate technical concepts to non-technical stakeholders like Customer Success and Product.
• Collaborative: You build relationships quickly, partner effectively with Customer Success and Product to understand business requirements, and actively engage with the existing technical team to facilitate knowledge transfer.
• Owner: You take full ownership of deliverables despite a short contract timeline, and maintain composure and productivity in a dynamic, growing organisation (team currently doubling).
• Results-Focused: You prioritise work that directly impacts migration success, stay transparent about what’s achievable within timeline constraints, and are accountable when risks emerge.

Why Monolith AI?

At Monolith AI, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

We are seeking a highly skilled and experienced Data Centre Design Manager – EMEA to lead and manage the design process across CoreWeave’s data Centre developments within the Europe, Middle East, and Africa region. This individual will oversee the work of our selected data centre providers and ensure that all designs meet CoreWeave’s technical, performance, efficiency, and scalability requirements.

About the role:

The role will focus primarily on managing the execution of Architectural, MEP, and LV/IT infrastructure designs across leased facilities, build-to-suit sites, and greenfield developments throughout the EMEA region. The Design Manager will serve as the primary point of contact for all design-related matters on assigned projects, collaborating with internal teams and external consultants to ensure consistency, quality, and adherence to CoreWeave standards. The role will also support construction activities to ensure designs are fully and accurately implemented in the field.

Who You Are: 

• Manage and coordinate multiple concurrent data centre design projects across the EMEA region, from concept through detailed design, including greenfield builds, tenant fitouts, build-to-suit projects, renovations, upgrades, and end-of-life replacements.
• Oversee the work of Professional Consultants (Architects, Engineers) and Equipment Suppliers throughout the design lifecycle.
• Serve as the single point of contact for all design-related matters on assigned EMEA projects, ensuring clear and consistent communication with Data Centre Providers, Contractors, A/E firms, and internal stakeholders.
• Coordinate with internal SMEs across electrical, mechanical, LV/IT, and BMS disciplines to ensure all project requirements and technical specifications are captured and integrated into design deliverables.
• Apply CoreWeave Design & Engineering Guidelines and relevant EMEA industry standards and codes, incorporating value-engineering to optimize cost, performance, and constructability.
• Track and document all deviations from the Basis of Design (BoD) throughout the project lifecycle, ensuring alignment and approvals with internal teams and external consultants.
• Partner with Construction Management to support project schedule development, budget planning, and forecasting of design-phase costs.
• Review and evaluate OFCI (Owner-Furnished, Contractor-Installed) equipment submittals and coordinate recommendations with Procurement and Construction Management.
• Participate in design reviews and page-turn sessions, providing feedback on drawings, Basis of Design documents, Sequences of Operation, commissioning plans, and testing scripts.
• Support RFP processes for A/E consultants and commissioning agents, including proposal evaluation, vendor selection, scope alignment, and invoice review.
• Prepare and deliver detailed project reports for executive leadership and project teams, monitoring scope, budget, schedule, risks, and alignment with CoreWeave’s project gating process.
• Provide regular project updates to internal and external stakeholders across the region.
• Conduct site visits throughout EMEA to review construction progress, validate design implementation, and ensure adherence to specifications, quality standards, and project requirements.
• Collaborate with cross-functional teams including Capacity Planning, Network Engineering, Construction, Operations, Supply Chain, and Technical Project Management to ensure end-to-end alignment.
• Contribute to internal design team meetings, exploring and proposing innovative technologies or concepts to enhance project outcomes and integrate industry best practices.
• Candidates must have the right to work in the UK/EU or meet the requirements for a Skilled Worker visa.

Preferred:

• Degree in Engineering (Mechanical, Electrical, Civil, or related field), Architecture, or a related discipline.
• 5+ years of experience in data centre engineering or design with a proven track record of successfully completing data centre design projects.
• Strong knowledge of data centre infrastructure systems, including cooling systems (air-cooled chiller plants, water-cooled chiller plants, liquid cooling), power distribution, UPS systems, generators, familiarity with Building Management/Automation Systems (BMS), and an understanding of LV/IT design.
• Experience with large-scale, high-density data centres and cloud infrastructure, including familiarity with power, cooling, and other critical infrastructure systems.
• Proven ability to manage complex projects with strong project management and organizational skills, ensuring successful project delivery on time and within budget.
• Excellent communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders.
• Ability to thrive in a fast-paced, dynamic environment, managing multiple projects and competing priorities while maintaining a high level of attention to detail.
• Strong problem-solving and analytical skills, with a focus on developing efficient, cost-effective solutions to complex design challenges.
• Professional certifications (e.g., Uptime Institute, BICSI, LEED, or similar) are a plus.

Wondering if you’re a good fit? We believe in investing in our people and value candidates who can bring their diverse experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is £90,000 - £120,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Please note that this is a 24/7/365 team. You will be asked to select and rank your preferred shift(s) below.

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role

As a Bare Metal Support Engineer, you will be responsible for supporting, operating, and maintaining CoreWeave’s extensive GPU fleet across our growing data centers in the U.S., Europe, and beyond. You will work closely with customers, data center technicians, and engineering teams to ensure the reliability, performance, and scalability of our infrastructure. 

In this role, you will: 

• Provide high-level support for customers utilizing bare-metal GPU fleets on CoreWeave Cloud.
  
  
• Diagnose, triage, and investigate reported customer issues and high-priority incidents, identifying root causes and escalating when necessary.
  
  
• Develop a deep understanding of customer workloads and use cases to provide tailored technical support.
  
  
• Coordinate remote troubleshooting and hardware interventions with Data Center Technicians.
  
  
• Create and maintain internal documentation, including troubleshooting guides, best practices, and knowledge base articles.
  
  
• Participate in an on-call rotation to support production clusters and ensure operational reliability.
  
  
• Collaborate with engineering teams to improve hardware reliability, software stability, and system performance.
  
  
• Implement automation and scripting to streamline support workflows and reduce manual interventions.
  
  
• Perform in-depth log analysis and debugging across multiple layers of the stack (firmware, drivers, hardware).
  
  
• Provide feedback to internal teams on common support issues to drive continuous improvements.
  
  
• Work with networking teams to troubleshoot connectivity issues affecting customer workloads.
  
  
• Support supercomputing infrastructure running GPU workloads at scale.
  
  
• Drive operational excellence by refining internal processes and support methodologies.
  
  

Who You Are:

• Experience in data centers, GPU clusters, server deployments, system administration, or hardware troubleshooting.
  
  
• Demonstrated experience driving resolutions and continuous improvements across cross-functional environments and teams within a data center environment.
  
  
• Intermediate knowledge of Linux (Ubuntu, CentOS, or similar), including command-line proficiency.
  
  
• Experience with NVIDIA GPUs, SuperMicro systems, Dell systems, high-performance computing (HPC), and large-scale data center environments.
  
  
• Experience in networking fundamentals (TCP/IP, VLANs, DNS, DHCP) and troubleshooting tools.
  
  
• Hands-on experience with firmware updates, BIOS configurations, and driver management.
  
  
• Experience analyzing system logs and debugging issues across firmware, drivers, and hardware layers.
  
  
• Experience working with Jira, Confluence, Notion, or other issue-tracking and documentation platforms.
  
  
• Experience in scripting and automation (Python, Bash, Ansible, or similar).
  
  

Wondering if you’re a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don’t check every box. Here are a few qualities we’ve found make someone successful on our team. If some of this describes you, we’d love to talk.

• You’re curious about Kubernetes, Docker, and containerized infrastructure
  
  
• You have strong problem-solving skills with a proactive and analytical mindset.
  
  
• You have excellent communication skills and a demonstrated ability to work collaboratively in a fast-paced environment.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
  
  
• Act Like an Owner
  
  
• Empower Employees
  
  
• Deliver Best-in-Class Client Experiences
  
  
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

The base salary range for this role is 41,000 GBP to 55,000 GBP. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the Role:

We are seeking a remarkable Technical Solutions Manager who shares our passion and has a deep understanding of GPU infrastructure & AI applications to join our CX Organization. The team is responsible for educating prospective customers on the technical value of CoreWeave, designing and defining customer deliverables and integration points, onboarding and enabling customers, and ensuring the successful ongoing operations of CoreWeave within customer environments.

In this role, you will:

• Lead Strategic Customer Relationships: Ownership of technical customer relationships to ensure successful adoption and customer satisfaction.
• Define Customer Requirements: Collaborate with customers and partners to define technical requirements that meet the customer's needs for AI/ML.
• Drive End-to-End Program Execution: Oversee the execution of complex programs, including planning, resource management, risk assessment, and internal/external stakeholder engagement to ensure successful outcomes.
• Engage with Stakeholders/Influence product strategy: Gather, document, and communicate program requirements to ensure clarity, feasibility, and alignment with critical objectives. Share customer feedback with Product Management and Engineering, influencing product direction.
• Foster Collaboration: Facilitate effective communication among various teams, including engineering, product management, operations, support, and sales.
• Build Strong Relationships: Establish and maintain strong relationships with stakeholders to align program objectives and secure necessary resources and support.
• Proactively Manage Risks: Identify potential risks and issues throughout the program and proactively communicate to relevant stakeholders to drive resolutions and minimize impact.
• Measure Success: Define and track key performance indicators (KPIs) and metrics to measure program success and effectiveness.
• Drive Improvements: Identify and address inefficiencies to enhance operational speed and quality outcomes.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 5+ years of experience in technical program management, customer success management, or professional services delivery management, with a focus on cloud infrastructure and AI/ML applications
• Strong communication skills through both long-form documents and short-form/asynchronous communications with internal and external stakeholders
• Proven track record of successfully organizing and coordinating the efforts of multiple teams to deliver long-running, complex projects with visibility to senior stakeholders.
• Experience with multiple staples of leadership, with the ability to work in a bottom-up leadership-style organization that focuses on enablement, communication, organization, and inspiration over task management.
• Demonstrated experience with proactive self-management, with examples of recognizing when to seek help and is willing to ask for it in a timely manner within a safe environment.
• Experience with client management within a cloud infrastructure landscape, ideally with an understanding of the fundamentals of Kubernetes, GPU compute, AI/ML, and high-performance computing

Wondering if you’re a good fit? We believe in investing in our people and value candidates who bring unique backgrounds—even if you don’t check every box. Here are a few qualities we’ve found make someone successful on our team. If some of this describes you, we’d love to talk.

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
  
  
• Act Like an Owner
  
  
• Empower Employees
  
  
• Deliver Best-in-Class Client Experiences
  
  
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

What You’ll Do:

You’ll join CoreWeave’s Talent Acquisition team supporting Engineering hiring across EMEA, partnering closely with hiring managers in Site Reliability Engineering (SRE), Production Engineering, and Operations Engineering. The team is responsible for scaling high-performing technical talent in complex, distributed systems environments while maintaining speed, quality, and a strong candidate experience.

About the role:

This Contract Recruiter will own full-cycle recruitment across a range of engineering roles in EMEA, with a focus on SRE, Production, and Operations Engineering. Day-to-day, you will partner with hiring managers to scope roles, build targeted sourcing strategies, and manage pipelines from initial outreach through to offer and close. You’ll operate in a high-growth environment, balancing multiple requisitions while maintaining high hiring standards and velocity. This role requires strong market mapping, proactive sourcing, and the ability to navigate complex technical hiring landscapes across multiple regions.

Who You Are:

• 5+ years of recruiting experience, including technical recruiting for engineering roles
• Proven track record of hiring in EMEA markets (UK, Poland, or broader Europe)
• Experience recruiting for SRE, Production Engineering, Operations Engineering, or similar infrastructure-focused roles
• Demonstrated ability to manage multiple concurrent requisitions (5–10+ roles simultaneously)
• Strong sourcing capability using LinkedIn Recruiter, Boolean search, and other direct sourcing methods
• Experience running full-cycle recruitment processes, including intake, calibration, offer management, and closing
• Familiarity with ATS systems such as Greenhouse
• Knowledge of EMEA hiring practices and employment compliance

Preferred:

• Experience recruiting in cloud infrastructure, AI infrastructure, or distributed systems environments
• Exposure to hiring for teams working with Kubernetes, large-scale infrastructure, or distributed systems (nice to have, not required)
• Experience supporting hiring in high-growth or scaling technology companies

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love to build pipelines from scratch and solve complex hiring challenges
• You’re curious about how modern infrastructure teams are evolving at scale
• You’re an expert in sourcing and engaging hard-to-reach technical talent

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

This is a contract role offered on a fixed-term basis (FTC), with compensation structured as a day rate plus benefits. The day rate will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. This role is not eligible for equity participation.

What You’ll Do:

The Monolith AI Platform Engineering Team at CoreWeave is responsible for building and scaling the data and workflow backbone that powers the world’s most advanced engineering simulation and AI workflows — our ambition is to become the super‑intelligent AI test lab for the engineering industry, helping customers ship science, faster. From high‑throughput data ingestion and feature pipelines to model training and real‑time inference, our platform delivers the performant, reliable, and trustworthy data foundation trusted by the world’s largest engineering companies.

The Staff Data Engineer will own and evolve Monolith’s platform data services and ETL offerings — the data onboarding, preparation, and lineage capabilities that turn fragmented, real‑world engineering data into production‑ready training and inference pipelines. You’ll partner with Product, Engineering, and Customer‑facing teams to deeply understand client data challenges and translate them into scalable, self‑serve data platform features.

About the Role:

We’re seeking a Staff Data Engineer who can own Monolith’s data platform surface end‑to‑end: from offline batch pipelines and large historical backfills to low‑latency, real‑time streaming data flows that power online inference and feedback loops. You’ll define and drive our data architecture, champion data quality and lineage, and decide how customer data moves through Monolith from raw ingestion to governed, observable, and reproducible training sets.

You’ll primarily work with internal teams (Product, Customer Success, Forward‑Deployed Engineers, Software Engineers, Data Scientists), and step in as a domain expert when clients need deeper guidance.

In this role, you will:

• Own Monolith’s Data Platform & ETL Surface
• Lead the architecture and evolution of core data services for ingestion, transformation, validation, and lineage across training and inference workloads.
• Design and maintain end‑to‑end data models and schemas that make complex engineering, simulation, and telemetry data discoverable, reusable, and performant.
• Define standards, contracts, and APIs for how product teams and integrations interact with data services.
• Design & Operate Batch + Streaming Pipelines
• Build and operate batch pipelines for large‑scale historical imports, retraining data sets, and migrations from legacy environments.
• Design and implement streaming pipelines (e.g., using Kafka or similar technologies) for event‑driven or real‑time ingestion and transformation that support online inference, monitoring, and feedback loops.
• Select and integrate off‑the‑shelf, industry‑proven ETL / ELT technologies (e.g., workflow orchestrators, ingestion frameworks, transformation engines) and own their rollout and long‑term operation.
• Champion Data Lineage, Governance & DataOps
• Implement and maintain end‑to‑end data lineage from source systems to derived features and model artifacts, enabling reproducibility, compliance, and faster debugging.
• Establish DataOps practices: CI/CD for pipelines, observability (metrics, logs, traces), and operational runbooks for data incidents.
• Help define data quality and governance standards in partnership with Security, Compliance, and Customer Success, including support for privacy and regulatory needs (e.g., GDPR‑aligned flows and data residency discussions).
• Partner Across Monolith & CoreWeave
• Work with Monolith product and engineering teams (platform, agents, experiments, reliability) to expose data services that unlock new user workflows and AI capabilities.
• Collaborate with CoreWeave infrastructure and AI platform teams to leverage storage, compute, and observability for reliable data flows.
• Serve as a technical escalation point for forward‑deployed and customer‑facing engineers when questions go deeper than their playbooks (e.g., architecture diagrams of data flow, lineage, and governance constraints).

Who You Are:

• Experience & Level
• Typically 8+ years of experience as a Data Engineer / Data Platform Engineer (or similar), including ownership of production data pipelines and architectural decisions.
• Demonstrated Staff‑level impact: leading critical data domains and cross‑team initiatives.
• Data Engineering & Architecture
• Deep experience designing end‑to‑end data architectures that cover ingestion, storage, transformation, serving, and observability.
• Strong, hands‑on experience with both batch and streaming pipelines:
• Batch: scheduled workloads, historical backfills, retraining pipelines.
• Streaming: Kafka or similar event streaming platforms plus real‑time transformation patterns for low‑latency consumption.
• Proficiency with SQL and at least one major analytical database or data warehouse (e.g., PostgreSQL or similar) including schema design and performance tuning
• Proficiency with Spark, Ray or similar distributed data processing frameworks.
• Solid understanding of data modeling (event logs, star schemas, feature tables) in multi‑tenant SaaS or platform contexts.
• Tooling & Ecosystem
• Hands‑on with data orchestration and ETL tooling (e.g., Airflow, dbt, Dagster, Temporal, or equivalents) and able to evaluate and recommend tools that fit our needs.
• Experience integrating and operating off‑the‑shelf data infrastructure (not just bespoke systems), including rollout, migration plans, and ongoing ownership.
• Familiarity with cloud infrastructure and containerization (Docker, Kubernetes, at least one major cloud provider) for deploying and scaling data workloads.
• Data Lineage, Quality & DataOps
• Extensive experience implementing data lineage solutions and using them for debugging, compliance, and auditability.
• Strong background in data quality: validation frameworks, monitoring, and guardrails that prevent bad data from reaching downstream consumers.
• Proficiency with DevOps / DataOps practices: infra‑as‑code, CI/CD for pipelines, runbooks, and participation in on‑call / incident response for data issues.
• Programming, Systems & Communication
• Strong programming skills in Python for building data services, transformations, and platform integrations, with an emphasis on maintainability and tests.
• Comfortable working in service‑oriented architectures, reasoning about data contracts, SLAs, and failure modes across services.
• Clear written and verbal communicator who can:
• Explain data architectures and trade‑offs to internal stakeholders, and
• Occasionally join client conversations as a deep domain expert to answer questions about data flows, security, and governance (e.g., with CIOs, heads of data, or security counterparts), while day‑to‑day client interaction is handled by forward‑deployed teams.

Preferred:

• Experience in ML/AI platforms or MLOps environments where data pipelines feed experimentation, training, and inference workflows at scale.
• Background with time‑series, simulation, or experimental data (e.g., physical test benches, sensors, engineering simulations).
• Familiarity with feature stores, experiment tracking systems, or model registries and their integration with upstream pipelines.
• Experience designing data systems for regulated or safety‑critical domains, including privacy, residency, and retention considerations.

Wondering if you’re a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match. If some of this describes you, we’d love to talk:

• Product‑minded – you design data platforms and pipelines that are intuitive to use and unlock real workflows for engineers and customers.
• Systems thinker – you enjoy mapping complex data flows, understanding failure modes, and building robust, observable systems.
• Pragmatic – you balance solid engineering with shipping value quickly, knowing when to invest in abstractions and when to deliver incremental improvements.
• Collaborative owner – you partner well across engineering, product, and customer‑facing teams, and you feel responsible for outcomes, not just code.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking, and foster an environment that encourages collaboration and innovative solutions to complex problems. As we get set for takeoff, the organization’s growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on storage technologies within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Storage product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on storage solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
• Deep understanding of storage/file system protocols and how to integrate them into infrastructure systems
• Proven experience describing storage concepts clearly, along with best practices and an understanding of the storage provider landscape

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to storage technologies
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on securing Kubernetes workloads within cloud infrastructure environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Security product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on securing Kubernetes workloads
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies including networking
• Deep understanding of  administrating Kubernetes clusters  including controls such as RBAC, admission controllers, container security, etc.
• Proven experience describing security concepts clearly, along with best practices and an understanding of the security tooling landscape in Kubernetes environments 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to securing Kubernetes environments 
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on Kubernetes solutions within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to Kubernetes clusters and workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

As a Solutions Architect at CoreWeave, you will play a vital and dynamic role. You will have the opportunity to demonstrate thought leadership and engage hands-on throughout our customers' entire lifecycle. From establishing their Kubernetes environment to developing proofs of concept, onboarding, and optimizing workloads, you will lead innovation at every turn. If you're driven by innovation, thrilled by the possibilities of what specialized compute can enable, and eager to be part of a team that's shaping the future, then CoreWeave is the place for you. Join us and let's embark on this adventure together!

In this role, you will:

• Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on AI/ML workloads within high-performance compute (HPC) environments
• Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.
• Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.
• Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.
• Act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.
• Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.
• Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.
• Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.
• Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.
• Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on AI/ML inference
• Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions
• Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences
• Deep expertise  with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL) 
• Demonstrated experience with running large scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes. You understand integration points between cloud solutions and enterprise IT 

Preferred:

• Code contributions to open-source inference frameworks
• Experience with scripting and automation related to AI/ML workloads
• Experience with building solutions across multi-cloud environments
• Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £98,000 - £130,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do:

The Customer Experience (CX) Organization at CoreWeave is dedicated to ensuring every client running AI workloads at scale has a seamless, reliable, and high-performance experience. This team supports the infrastructure that powers the AI revolution—working across data centers, hardware systems, and customer workloads to maintain the integrity of our cloud platform. The CX organization aligns closely with the internal and customer engineering teams, offering valuable insights from the field and having the chance to contribute to the CoreWeave product roadmap and development. 

About the role:

We are on the hunt for an exceptional Sr. Manager, Solutions Architecture to lead a regional team of subject matter experts across Kubernetes, HPC, Security, Networking, and Storage. Together, this team will design and deliver next-generation environments that power the world’s most demanding workloads.

This position reports directly to the VP of Customer Experience, and will work closely with leaders across Solutions Architecture, Support, Sales, and Product Engineering. If you are passionate about advanced infrastructure and have a proven ability to hire, mentor, and inspire technical talent—then we’d love to hear from you!

In this role, you will:

• Recruit, coach, and lead a high-performing Solutions Architecture team with deep expertise in Kubernetes, HPC, security, networking, and storage, fostering a culture of innovation and continuous learning.
• Define and execute the regional technical go-to-market strategy, partnering with Sales, Product, Engineering, and Marketing to position CoreWeave as the market leader in performance, flexibility, and scalability.
• Act as executive sponsor for strategic customers, guiding them from initial concept through large-scale architectures, proofs of concept, and production deployments.
• Partner closely with customers to understand complex AI and infrastructure requirements and translate them into scalable, production-ready solutions.
• Align capacity management, data center operations, and fleet operations to support the unique demands of AI and high-performance workloads.
• Establish KPIs, streamline workflows, and coordinate with Support to ensure measurable outcomes, rapid issue resolution, and exceptional customer experience.
• Drive continuous improvement by incorporating field feedback into product enhancements, roadmap priorities, and operational excellence in a high-growth environment.

Who You Are:

• B.S. in Computer Science, Engineering, or a related technical field
• 8+ years in solutions architecture, infrastructure engineering, or cloud services, with at least 4 years in a leadership role
• Proven track record designing, deploying, and optimizing large-scale environments spanning cloud native technologies
• Familiarity with GPU-based computing and distributed workloads is a strong plus
• Expertise in infrastructure frameworks, workload orchestration, performance tuning, and distributed systems
• Strong knowledge of Kubernetes, networking technologies, security practices, and enterprise storage systems
• Hands-on familiarity with distributed cloud-native and AI/ML workloads on GPU-based computing at scale
• Exceptional ability to lead, inspire, and develop high-performing teams, building an environment of trust and excellence
• Excellent verbal and written communication skills, with the ability to frame complex technical insights for diverse stakeholders
• Proven success in cross-functional collaboration, balancing multiple priorities in a hyper-growth environment
• Willing to travel up to 30% to engage with customers, attend industry events, and nurture cross-functional collaboration

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• You love to help solve challenging technical problems
• You’re curious about the latest and greatest technologies in the AI space
• You’re an expert in managing conflict and achieving mutually beneficial technical outcomes

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is £116,000 to £155,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). 

What You’ll Do

We’re seeking a talented and experienced Senior Engineer for Network Observability to join our Network Observability team. In this role, you will be a key player in designing, developing, and maintaining the monitoring, telemetry, and observability systems that keep CoreWeave’s GPU cloud network operating reliably and at scale. You’ll focus on building solutions that provide real-time insights into network performance, ensuring that issues are detected proactively and resolved quickly.

Your mission? To empower CoreWeave’s network with advanced observability: robust metrics, powerful analytics, and automated alerting—so well-tuned that any anomalies become clear before they ever impact our customers.

• Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance.
• Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline.
• Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager.
• Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions.
• Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise.
• Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain.

Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. Here are some qualities we’ve found compatible with our team. We'd love to talk about whether this aligns with your experience and interests and what you’re excited to work on next.

Who You Are

Minimum Qualifications

• Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus.
• Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus.
• Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero.
• Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently.
• Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2). .
• Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting.
• Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux.
• Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues.

Preferred Qualifications

• College Education: Bachelor’s degree in Computer Science or a related field.
• Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic.
• Network Certifications: Certifications like CCNA, CCNP, or similar.
• Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments.
• Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!  

To fulfil our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results

Job Summary:

Real Chemistry is looking for a Account Manager to join our growing team!

As an Account Manager, you will act as the key day-to-day client contact, managing relationships and taking responsibility for the delivery of several medium-sized projects. As a captain, you will be responsible for managing the execution of parallel ongoing projects and take an active role in coaching your junior team and ensuring projects are delivered effectively alongside the account lead.

What you’ll do:

Client delivery

• Act as day-to-day client contact: provide regular status updates to your client; respond to client queries and share recommendations (following discussion with your account lead); manage client expectations on timelines, scope of project, etc.; take client briefs and clearly communicate to team members, implementing realistic project plans

• Take responsibility for the day-to-day management of your account, including managing the processes of the account (including running regular internal team meetings), flow of work (review content developed by more junior team members), delegation of tasks (oversee status reports to ensure all team actions are complete) and the status of jobs across the account (not just your own)

• Ownership of and accountability for medium-sized client projects, ensuring that projects are delivered to highest possible standards within budget and agreed timeframes

• Actively demonstrate an understanding of your clients’ needs (building an awareness of their strategy and brand) and preferences in your interactions and the delivery of work

• Confidently develop written content (briefing documents, etc) and gain experience reviewing junior team members’ work, ensuring content is accurate and developed to a high standard ahead of more senior review

Business development

• Start to identify areas for growth (evolving existing programmes and/or additional tactics), proactively sharing new ideas with your team and client

• Take an active role in new business, which may include undertaking and presenting research to the pitch team, or facilitating team input via brainstorms/presenting as part of the pitch team

Team management

• Maintain an awareness of the professional development of more junior team members on your accounts, through regular catch ups and interactions

• Develop your coaching, delegation and briefing (both internally and externally with suppliers) skills, and lead by example; use these approaches to upskill, develop and inspire more junior team members

• Buddy new SAA/AM starters

Financial management

• Develop a greater understanding of the account finances beyond your projects, proactively supporting your account lead with financial management including managing Salesforce opportunities, invoicing and forecasting

• Develop accurate budgets for clients, reflecting on previous projects and gathering cost quotes

• Manage the budget for projects that you own, feeding into your account lead as part of the broader programme finances; identify where project is going out of scope and alert your account lead with details of additional budget required

• Input into the resourcing process by sharing with your account/medical writer lead the requirements for your projects

• Complete your timesheets and expense claims accurately and on time and take an active role in reviewing timesheets across some of your projects

Agency environment

• Participate in internal initiatives which contribute to the culture or development of the Medical Communications team, or Real Chemistry more broadly (e.g., compliance/socials/inspiration)

• Immerse yourself in the medical communications and pharma industries, and your client companies and therapy areas: engage with every opportunity to establish an awareness of developments, innovations and trends. Look for opportunities to reflect these in your work and flag your ideas to your teams and wider team to raise your internal profile

This position is a perfect fit for you if:

• ​Our Company values – Best Together, Impact-Obsessed, Excellence Expected, Evolve Always and Accountability with an “I” – really speak to you.

• You are adaptable, resilient, and OK with adjusting your scope, responsibilities, and focus as we grow. When things change, so do we. We’re always evolving.

• You are proactive, driven, and resourceful with strong prioritization skills and a desire to dive into the data.

• You are highly organized self-starter, able to work independently and under tight deadlines.

What you should have:

• Relevant degree in a scientific subject

• Highly organised with a mindfulness of deadlines, the ability to manage multiple tasks based on priorities and a strong attention to detail

• Independent thinker confident in taking ownership of assets and material development, but a team player who enjoys collaboration

• Ability to mentor junior staff and delegate accordingly in order to achieve project deadlines

• Has confidence to manage upward when required; able to communicate with managers when deadlines will not be met or when issues are foreseeable

• Demonstrated strong work ethic, with a track record of following through on client requests and with high-quality deliverables on schedule and on budget

• Ability to develop project scopes and vendor contracts

• Excellent business communication ability, including informal/formal presentation and writing skills

• High energy, able to effectively operate in fast-paced, growing and evolving environment

The Team You’ll Join 

As part of Recursion's Value Tech Tooling Team, you will be at the forefront of reimagining drug discovery from first principles using our massive data capabilities. You'll work in a cross-functional team of world-class computational biologists and engineers who turn complex analyses and data workflows into stable tools and pipelines that multiply their impact and industrialise the discovery process across a wide array of therapeutic areas. You'll partner with biologists, medicinal chemists, engineers, data scientists, ML scientists, and to design experiments, develop new methods, build scalable data workflows, analyse results, and identify common themes across programs. As our toolbox grows and evolves, it will contribute to a revolution in drug discovery to bring life-changing therapeutics to patients at greater speed and with higher quality, safety and efficacy than ever before.

In this role, you will:

• Synthesize, integrate, and analyse diverse internal and external datasets from computational biology, target discovery, functional genomics, biomarker discovery, and real-world and clinically derived data sources, and identify commonalities to turn into reusable tools and pipelines.
• Build, maintain, and improve robust data pipelines and analytical workflows for complex biological datasets, including omics data, internally generated biological assay data, and external data sources such as Tempus and other real-world datasets.
• Develop and apply agentic workflows to integrate and orchestrate analyses across multiple internal and external data sources, accelerating insight generation and supporting scalable decision-making across drug discovery programs.
• Partner with engineers to mature pilot tooling and workflows into stable products and infrastructure that multiply the effectiveness of scientific collaborators pursuing drug programs.
• Present and discuss data, pipelines, and tools with decision makers and stakeholders in a clear and compelling way that drives toward getting medicines to patients.
• Collaborate cross-functionally with Recursion’s platform data science, data engineering, and ML teams to further advance Recursion’s ability to interpret and translate large-scale phenomics and multimodal data into therapeutic programs.

The Experience You’ll Need

• PhD in a relevant field (e.g., computational biology, bioinformatics, statistics, quantitative pharmacology, cancer/cell biology, computer science, or a related discipline), or equivalent experience, with a track record of applying these skills to fundamental problems in drug discovery.
• Experience applying computational methods (including statistical, probabilistic, and/or machine learning techniques) to analyse complex biological and/or human clinical data.
• Experience building, maintaining, and improving reproducible data pipelines and analytical workflows for large, heterogeneous biological datasets (Python strongly preferred).
• Experience working with high-dimensional biological datasets, including omics data (e.g., single-cell and other genomics-based modalities) and/or other complex assay modalities.
• Experience turning exploratory analyses into reusable tools, workflows, and documentation that can be adopted by other scientists/teams.
• General understanding of drug discovery and translational biology.

Nice To Have

• Experience working on highly collaborative cross-functional teams; ability to clearly explain computational analyses, data workflows, and methodologies to cross-functional and non-technical teams.
• Hands-on experience working with real-world clinical datasets (EHR/claims/registries) and/or generating real-world evidence (cohorting, endpoint definition, observational study considerations).
• Experience with real-world clinical datasets (e.g., EHR-derived oncology datasets) or demonstrated ability to rapidly learn new healthcare data modalities; experience with Tempus or similar datasets is a plus.
• Experience integrating multimodal datasets (e.g., genomics + phenomics, genomics + imaging) in service of translational decisions.
• Experience developing or applying agentic workflows to orchestrate analyses across multiple internal and external data sources, accelerating insight generation and decision-making

Working Location & Compensation:

This is an office-based, hybrid position at our office located in London, England. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £86,300 - £115,500. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. 

#LI-EP1

Venture Global LNG (“Venture Global”) is a long-term, low-cost provider of American-produced liquefied natural gas. The company’s two Louisiana-based export projects service the global demand for North American natural gas and support the long-term development of clean and reliable North American energy supplies. Using reliable, proven technology in an innovative plant design configuration, Venture Global’s modular, mid-scale plant design will replace traditional designs as it allows for the same efficiency and operational reliability at significantly lower capital cost.

Joining the Shipping Operations team in London, you will hold a fundamental position in a team that manages the transport of LNG globally. 

As a Shipping Operator, you will closely interact with Marketing/Trading Representatives, Vessels, Vessel Managers/Owners, Agents, Inspection Companies and Customers to coordinate LNG shipping activity, ensuring contractual and regulatory requirements are met.

Job responsibilities:

• Manage and oversee global LNG shipping operations, including but not limited to pre- and post-fixture voyage requirements, voyage tracking and reporting, vetting, appointing agents, appointing surveyors whilst always ensuring contractual obligations and regulatory compliance. 
• Marine services procurement as necessary, including bunkering and canal/strait transits.
• Evaluate and assess optimisation opportunities considering the risk and return to the portfolio.
• Conduct operations in compliance with HSSE and company standards; recognize and correct out-of-compliance conditions.
• Contribute to the execution commercial agreements, including TCPs, MSPAs, CNs, vessel performance claims, off-hire claims and demurrage claims.
• Maintain and update internal systems in a timely fashion to ensure payables and receivables are captured to ensure accurate P&L reporting and payments are settled as per agreements.
• Maintain timely and accurate data entry of operational information in relevant systems.
• Act as first responder and as a support function for incidents on board the VG LNG carrier fleet.
• Contribute to the development of ADPs.
• Actively support the organization to effectively manage the VG LNG carrier fleet through development of internal procedures, software implementation and participating in various projects.
• Provide market research, analytics, and intelligence to Traders.
• Supplementary tasks as requested by your line manager.
• Foster and maintain strong relationships with stakeholders.

The ideal candidate:

• Will have a bachelor’s degree or a professional qualification in a complementary field.
• Must have at least 2 years LNG commercial operations experience with strong knowledge of the LNG value chain.
• Has strong analytical, problem-solving, and decision-making abilities.
• Has advanced knowledge in Microsoft Excel, Word, and PowerPoint, Power BI analytics.
• Is curious and proactive taking accountability and ownership of their work.
• Is innovative and takes the initiative to improve processes.
• Can work effectively as an individual and within a team in a fast-paced trading environment.
• Has excellent communication and interpersonal skills, with the ability to collaborate effectively across teams.
• Has the ability to be on call 24/7.
• Can have sailing experience, which is desirable but not necessary.

Venture Global LNG is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.