The Fixed Income Solutions (FIS) business at BlackRock sits within the Portfolio Management Group (PMG) and operates globally across London, New York, Atlanta, San Francisco, Gurgaon and Mumbai. FIS partners closely with clients to design, implement, and manage outcome-oriented investment solutions.

The Liability Driven Investment (LDI) business is a distinct part of FIS which leverages the breadth and depth of the entire platform when delivering investment solutions for our clients. BlackRock has been managing LDI mandates for over 20 years.

We are seeking an Associate level technologist to join the LDI Technology team. This role is focused on contributing to strategic LDI Technology Initiatives whilst also operating and building on BlackRock's technology platforms with a particular emphasis on CI/CD, pipeline maintenance and production delivery.

Key responsibilities

• Contribute to the delivery of strategic LDI Technology projects, from requirements gathering through to implementation and release.
• Work closely with investments and analytics stakeholders to ensure solutions align with business needs.
• Design and implement Python-based tools that are robust, maintainable, and suitable for long-term use.
• Contribute to the development and maintenance of a shared library and common codebase, helping improve reuse, consistency, and overall engineering quality.
• Apply strong software engineering discipline, including version control, testing, documentation, and code review.
• Support the deployment and operation of tools in production environments, including contributing to build and release processes.
• Operate our CI/CD pipelines applying our platform standards, contributing to improvements where appropriate.
• Promote a strong tech culture to encourage innovation

Business partnership

• Develop a strong understanding of LDI investment processes and the data that underpins them.
• Work closely with investors and LDI colleagues to identify high impact technology opportunities.
• Support users in adopting new technology and integrating it into established workflows.
• Guide less experienced colleagues through knowledge sharing, shaping emerging best practices, and building out a common code library
• Partner with firmwide technology platforms, including Aladdin, to shape requirements, support testing, and integrate new capabilities into the LDI business.

Skills and experience required

Essential

• Quantitative or technical background (BA/BS in Computer Science, Engineering, Mathematics, or a related field).
• Strong Python experience (or similar programming languages), with the ability to build production-grade tools.
• Experience working across the full software development lifecycle.
• Strong problemsolving skills with good attention to detail.
• Excellent written and verbal communication skills.
• Ability to work effectively in a collaborative, business-embedded technology team.

Beneficial

• Knowledge of Fixed Income markets or Liability Driven Investment strategies
• Familiarity with BlackRock platforms such as Aladdin.
• Experience with CI/CD and agile development practices
• Experience with analytics, optimisation, or portfolio-related tooling.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

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Your goal is to move Starling out of the banking category and into the heart of culture. You will treat content as our primary engine for growth, enabling and celebrating our audiences to show the world what it truly means to be good with money.

Key Responsibilities:

• Strategic Oversight & Channel Ownership: You will own the overarching strategy for Starling’s social presence. This means defining the specific role of each channel (from TikTok to LinkedIn), establishing how the brand shows up authentically on each, and ensuring a cohesive visual and tonal "umbrella" across our entire digital footprint.

• Own Content output: Move beyond ad-hoc posting to build and scale "Content Franchises" and solid talent and creator strategy in consistent, high-value formats across TikTok, YouTube, and LinkedIn that helps achieve our objectives along the funnel.

• Optimise for GEO & AI Discoverability: Future-proof our presence. You’ll ensure Starling content is structured to win in Generative Engine Optimisation (GEO), making us the primary source for AI-driven financial queries and social search.

• Community Architecture: Shift from "managing comments" to "building communities." You will identify and empower Starling advocates within Reddit, Discord, and niche financial circles.

• Lead & Inspire: Mentor a high-octane team of creators and platform specialists, fostering an environment where "social-first" is the default setting.

• Cultural Reactivity: Be the pulse of the brand. You’ll lead on proactive influencer partnerships and high-speed reactive content that inserts Starling into the cultural conversation with wit, empathy, and flair.

• Cross-Functional Synergy: Work alongside Product, Brand, and Data teams to ensure our social strategy isn't a silo, but a feedback loop that informs how we build features and talk to our customers.

• Paid social extensions: Collaborate with growth team to adapt and scale organic social assets into high performing assets on paid social.

• Cross-functional collaboration: Work with our customer service team, product marketing and corporate affairs to spot opportunities and react to conversations with proactive cut-through ideas.

Requirements:

• Modern Track Record: Proven experience leading social teams in a high-growth, "community-first" environment. You know how to scale a brand without losing its soul.

• Audience understanding: Ability to understand audience's needs and interest to create content they will want to watch and engage with and find talent and creators that fits with their lifestyle - aligned with our tone of voice and brand narrative.

• Algorithm & AI Literacy: A deep, intuitive understanding of platform algorithms, GEO, and how LLMs (Large Language Models) categorize and surface brand content.

• Creative Intuition: The ability to brief and "greenlight" content that feels native to the platform, not like a repurposed TV ad. You will be able to push how a brand behaves on social beyond memes and reactive trends expectations.

• Risk and compliance: Appetite to learn and accountability to tackle risk to avoid financial promotions that could damage the brand. Ability to operate at speed to ensure the right approvals and audit trails are honoured.

• Data-Driven Rigor: Expert-level use of Sprout, native analytics, and social listening tools to prove ROI and pivot strategy in real-time.

• Niche Navigator: Experience in identifying and accessing fragmented audiences,knowing that "the mass market" is now actually a collection of thousands of specific niches.

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Key responsibilities include:

• Leading the engineering function across utility-scale solar and BESS projects in the UK
• Defining and implementing standards, processes, and best practices
• Acting as technical authority across development, EPC, and operations
• Building and scaling internal engineering capability
• Allocating resources across a multi-project pipeline

• Overseeing engineering from development through commissioning
• Ensuring designs are optimised for cost, constructability, and performance
• Managing external consultants to ensure quality and timely delivery
• Supporting handover into construction and providing delivery-phase support

• Overseeing system design, including layouts, DC/AC, and HV infrastructure
• Ensuring integration of substations, grid connections, protection systems, and SCADA
• Reviewing grid requirements, connection agreements, and planning conditions
• Overseeing grid studies and key engineering deliverables (SLDs, layouts, specs, BoQs)

• Ensuring compliance with UK Grid Code, G99/G100, and relevant standards
• Maintaining alignment with HSE requirements and industry best practices
• Staying current with evolving regulatory and technical requirements

• Acting as key technical interface for internal teams, lenders, and partners
• Supporting technical due diligence and managing independent engineers
• Collaborating across development, construction, and asset management

• Driving standardisation across designs, specifications, and processes
• Leading initiatives to improve efficiency, cost, and project performance
• Acting as escalation point for complex technical challenges

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You will span technical SEO, content, digital PR, and data analysis, with a emphasis on adapting to the evolving search landscape, including AI-driven search experiences and changing user behaviours.

Working within a experienced team, you'll contribute to both execution and strategic direction. You'll gain exposure to large-scale SEO challenges across a multiple product verticals, while helping shape how SEO contributes to traffic, revenue, and brand authority.

This role requires a interest in SEO and Marketing, and its role in driving commercial performance. You should have an understanding of how search is evolving, including AI-driven search experiences and their impact on SEO. You should also be aware of E-EAT (Experience, expertise, authority and trust) principles and how to apply them in content.

You will assess content quality based on user intent, usefulness, and difference. You should have collaboration skills, with your manager, but extending to other departments we work with. Familiarity with tools like Google Search Console, Screaming Frog, Ahrefs/Semrush is also required.

The expected range for this role is £26,500 - £35,000. This is a Hybrid role from our Cardiff Office, working three days from the office, two from home.

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This role demands a sophisticated synthesis of high-level technical expertise in industrial machinery repair and an elite ability to discern complex hardware specifications within a diverse pool of manufacturing equipment.

By providing superior operations management and strategic resource allocation, you'll harmonize the logistics of parts procurement with urgent service scheduling needs, ensuring that every repair is supported by a flawless supply chain.

Your mastery of technical documentation and your commitment to authoring expert-level sourcing statements will provide the foundational clarity necessary to maintain a world-class maintenance environment.

As a visionary in the machine tool service industry, you'll tirelessly monitor global market trends and emerging industrial best practices to ensure that our procurement strategies remain at the vanguard of the sector.

You'll function as a high-impact team player, continuously educating both internal stakeholders and external customers on their specific product requirements and complex repair necessities.

By maintaining a real-time information flow with program managers and service coordinators through our CRM systems, you'll ensure that the entire organisational apparatus is synchronised and informed.

Your unwavering adherence to, and frequent surpassing of, all relevant federal guidelines and regulatory frameworks will safeguard our integrity while pushing the boundaries of what is possible in government-sector logistics.

Financial stewardship and inventory optimisation are the hallmarks of your success, as you'll leverage strategic sourcing methodologies to negotiate superior pricing and maximise year-on-year profitability.

You'll be expected to secure exhaustive, 100% complete quotations from a global supplier base, conducting rigorous cost-breakdown assessments and generating comparative analyses that drive our internal supplier selection process.

By implementing advanced inventory optimisation strategies, you'll drastically reduce overhead while simultaneously improving the efficacy of our spending and outsourcing initiatives.

If you possess the breakthrough mentality required to transform technical sourcing into a high-performance engine of efficiency, we invite you to apply your expertise to our operations.

Phillips offers a collaborative culture and competitive pay and benefits.

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Reporting to the Global Print Editorial Strategy & Operations Director, you'll manage projects at the intersection of editorial workflows, technology migrations, and financial accountability, ensuring the division operates with peak performance.

Key responsibilities include:

• Operating Model Design: Lead the design and implementation of future-state operating models and organisational structures to support evolving business needs.

• Business Model Development: Partner with leadership to refine business models and drive portfolio optimisation.

• Strategic Roadmapping: Collaborate with leadership to develop an operational roadmap.

• Workflow Optimisation: Conduct discovery analysis and value mapping to streamline editorial systems and workflow tools.

• Data-Driven Decision Making: Use performance analytics to identify bottlenecks and provide evidence-based recommendations for improvements.

• Project Leadership: Manage the full lifecycle of editorial projects from ideation through to post-launch in a fast-paced matrix environment.

• Procurement & Compliance: Lead vendor selection & management, including contract negotiations.

• Workshop Facilitation: Lead cross-functional discovery sessions and workshops to align diverse teams,from Editors to Engineers,on project goals.

• Change Management: Conduct change impact assessments to ensure the smooth adoption of new tools and processes across the organisation.

Experience that will put you ahead of the curve includes project management experience within publishing, being as comfortable in a spreadsheet as you are in a creative operations department, and proficiency with project management tools such as Asana, Looker and Google Workspace tools.

The expected salary for this role is up to £75,000. This is a hybrid role from our London office.

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Within the team based in Shanghai, you will actively take part in delivering fifty-five's projects to multiple clients across the region. Those projects can relate to onsite conversion optimisation and/or digital media-mix optimisation as well as sophisticated ML-powered initiatives.

As a Digital Analytics Consultant, you will follow an action plan, issuing various deliverables during the project. You will guarantee the quality of web analytics data as well as its interpretation during delivery sessions with the client.

Based on your good understanding of our expertise and our clients' needs, you will collaborate with all of our teams to develop fifty-five's offer, both in terms of marketing and in terms of technical and operational delivery.

Responsibilities: Deliver missions related to the monitoring of the client's digital activity based on key performance indicators (reporting), to onsite conversion optimisation through data analysis and web testing, and to online media buy optimisation Analyse data and structure relevant information for the client's benefit, in line with business indicators specific to their industry (eg. mobile operators, retail, travel, etc.) Develop a sharp operational expertise on both conversion and online media-buy topics Meet clients' needs and pay attention to the quality of all deliverables

Education and Experience: Master's degree (business, engineering) or equivalent diploma Fluent in English and Chinese written and spoken 0-2 years (Consultant) / 3-5 years (senior Consultant) experience in project management or digital marketing, consulting firms (strategy, organization, change management, IS, etc.), business Intelligence software publishers (SAP, etc.), or media-buy agencies, digital or traditional Experience in Sensors Data is A PLUS Knowledge of the main online acquisition channels: search engines (SEO, SEM and bid-management tools), display, affiliate marketing, emailing, social media, AdExchange, web and mobile applications, etc.s Industry web analytics tool

Skills and Interests: Excellent communication, both oral and written Strong analytical skills Good social spirit Laid back but professional Curious and willing to learn (a lot!) Strong interest in new technologies and the digital industry

Benefits: 20 days Annual Leaves Extra medical coverage, including inpatient and outpatient Work remotely (Maximum 2 days a week Work From Home policy) Regular team activities including TGIF, team lunch and Off-site! A multicultural environment with employees from over 20 countries Values centred on excellence, caring and sharing Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by ongoing training sessions, etc.) Particular importance given to work-life balance and the right to disconnect The opportunity of taking part in internal projects such as The Data Hive (a “tech for good” project initiated by fifty-fivers, whose aim is to put knowledge and expertise at the disposal of charitable organisations) or Women@55 (a committee with the aim of discussing gender equality and the role of women in consulting, Tech and at fifty-five)

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The Role --------

We are looking for highly skilled Data Scientists to join our team. As a Data Scientist, you’ll design and deliver GenAI solutions (LLM/RAG) and applied ML components, taking prototypes through to production with strong evaluation, observability and governance. You will work closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to turn data into actionable strategies that drive business outcomes.

Key Responsibilities --------------------

• Design and deliver GenAI solutions including LLM/RAG (retrieval strategy, embeddings, vector stores, prompt flows, grounding) for enterprise use cases.
• Evaluate and improve solution quality using offline/online metrics (quality, latency, cost) and iterate based on feedback.
• Harden solutions for production with observability/monitoring, tracing, guardrails, safety controls, and reliability practices
• Build and integrate model endpoints into products and workflows (APIs/services), partnering with engineering through to deployment.
• Work across cloud platforms (Azure/AWS/GCP) integrating storage, compute, orchestration, and model/runtime components.
• Assess data readiness for modelling/RAG (fitness, quality, access) and define remediation requirements
• Collaborate in cross-functional squads (DS/DE/engineering/product) and contribute to reusable assets and ways of working.
• Communicate clearly with stakeholders on trade-offs, evaluation results, risks, and adoption actions.
• Own end-to-end workstream delivery, lead stakeholder conversations, mentor others. (more senior levels)
• Shape solution direction and quality bar, coach teams, contribute to sales pursuits/bids and accelerators (most senior levels)

Requirements ------------

Essential Skills:

• Strong Python/R (pandas/NumPy; ML libs such as scikit-learn; DL frameworks TensorFlow/PyTorch).
• Experience with LLM/RAG toolchains (e.g., LangChain, LlamaIndex, Semantic Kernel) and vector search (e.g., Pinecone, Weaviate, FAISS, Azure AI Search).
• Experience with GenAI platforms (e.g., OpenAI API, Anthropic, Gemini, Llama or equivalents).
• Exposure to big data/distributed computing and pipeline/feature engineering.
• LLM safety & governance (hallucination mitigation, grounded responses, audit trails)
• Degree in a quantitative field
• Right to work in the UK without sponsorship

Preferred Skills:

• Cloud ML experience (AWS/GCP/Azure).
• Strong SQL; experience with visualisation tools (Tableau/Power BI or Python viz).
• Specialisms: NLP / computer vision / time series.
• NoSQL familiarity.
• Quant / trading analytics engineering practices
• Time-series forecasting (prices, demand, blend outcomes, scheduling effects)
• Optimisation / simulation (planning, blending, logistics constraints)
• Model risk controls (bias/leakage checks, backtesting discipline, monitoring/drift)
• CI/CD, deployment, monitoring; Docker/Kubernetes.
• Experiment design and randomised trials.
• MSc with PhD a plus

Personal attributes

• Analytical, pragmatic problem-solver; outcome-oriented.
• Self-directed, able to prioritise and juggle multiple workstreams.
• Clear communicator who can simplify complexity.
• Collaborative, curious, continuous learner.

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We have an opportunity for a subscriptions operations specialist to join a dynamic, international subscriptions business unit. Reporting to the Head of Operations, you'll also be supporting in managing the fulfilment chain with a specific focus on our subscription management system which is made up of Salesforce & Zuora. You will be responsible for ongoing stakeholder management, continual process refinement and our technology review and implementation projects.

Key responsibilities include:

• Extensive experience of working with CRM systems, particularly Salesforce, in a consumer-facing, subscriptions environment
• Skills in process mapping and process optimisation
• Effective communication skills and works in a collaborative way across a matrix environment
• Understands data/audience segmentation, user journeys and marketing funnels
• Analytical and project management skills
• A team player, with experience collaborating
• Ability to think creatively, ask questions and test ideas
• Experience managing conflicting priorities and stakeholders
• Deal well with ambiguity, able to distil solutions from a broad problem space.

The expected range for this role is £30,000 - £50,000. This is a Hybrid role from our Bath or Cardiff Office, working three days from the office, two from home

Benefits include:

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Well-being support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

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The team partners closely with Technology and Engineering teams to design and deliver high-impact data and visualisation tools for COO and Distribution stakeholders. You will also collaborate with internal technology teams on infrastructure, tools, processes, standards, and development practices, as well as work alongside data science and analytics teams across the firm.

The successful candidate will bring a strong passion for technology, data, and client outcomes, with comfort working across a broad range of technical capabilities, including databases, software development, and cloud infrastructure. This role suits someone who enjoys solving complex problems and building scalable, high-impact data products.

At BlackRock, we value curiosity, continuous learning, and professional growth. With over $14 trillion in assets under management, we have a unique responsibility: our products and technology empower millions of investors to save for retirement, pay for education, purchase homes, and improve their long-term financial wellbeing.

Key Responsibilities:

• Explore, profile, cleanse, and preprocess data to ensure high-quality datasets for analytics, reporting, and downstream consumption.
• Design and manage workflows for storing and retrieving vectorised documents to support AI-enabled use cases.
• Apply embedding models to build AI-driven solutions.
• Leverage modern AI and machine-learning techniques, including large language models (LLMs) and agent-based systems, to enhance data workflows and automation.
• Design, build, and maintain scalable ELT pipelines in Snowflake, covering data ingestion, transformation, and publication layers for enterprise use.
• Develop and optimise Snowflake data models (schemas, views, and curated datasets) to enable consistent, performant, and well-governed access.
• Implement robust data quality controls, including validation, reconciliation, monitoring, and alerting, to ensure the accuracy and reliability of critical datasets.
• Partner with central platform and data engineering teams to support Snowflake architecture, including performance tuning, warehouse optimisation, security patterns, and cost-effective usage.
• Write high-quality, maintainable code that is well-tested, documented, and aligned with engineering best practices, including version control and peer review.
• Build and maintain Streamlit applications to enable self-service data exploration, operational tooling, and lightweight analytics for business users, including applications that interact directly with Snowflake datasets and stored procedures.
• Translate business questions into technical solutions, delivering clear outputs and actionable insights for both technical and non-technical stakeholders.

Skills and Competencies:

• Strong experience with Snowflake and advanced SQL, including query optimisation and best-practice analytical data modelling.
• Knowledge of modern AI and machine-learning techniques, including large language models (LLMs) and agent-based systems, embedding modes and document vectorization.
• Experience developing and maintaining data transformation workflows using dbt within Snowflake, including modular modelling, testing, and documentation.
• Proficiency in Python for data engineering and application development, including data processing, orchestration patterns, and reusable components.
• Experience building Streamlit applications, ideally in an enterprise environment, with a focus on usability and integration with Snowflake-backed data products.
• Familiarity with modern data engineering practices, including ELT/ETL patterns, incremental processing, scheduling, observability, and automated testing.
• Strong problems-solving mindset, with the ability to work independently, manage ambiguity, and drive continuous improvement.
• Strong communication skills, with the ability to articulate technical concepts and insights to non-technical stakeholders.
• Fluency in English, both written and spoken.

Experience and Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related quantitative discipline.
• Proven experience in data engineering, analytics engineering, or a closely related technical role, ideally within a cloud-based data platform environment.
• Experience working with commercial, sales, or distribution datasets is an advantage.
• 3–5 years of relevant experience in data engineering, or a related field within a multinational or complex organisational environment.

Our benefits:

To help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our hybrid work model:

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock:

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

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Your responsibilities will include running, monitoring, and adjusting e-commerce campaigns to drive Razer's brand awareness and product sales across the Asia-Pacific region. You will also ensure all marketing assets are updated and conduct A/B testing for the best consumer shopper experience online across various platforms.

Additionally, you will work with our partners on campaign optimisation and reporting, conduct competitor analysis across digital, social, and e-commerce platforms, and market research to observe industry trends, develop target audiences, and more.

You will also conduct trend and historical data analysis, observations, and recommendations for category managers to make informed decisions on country product sales strategies, track the Razer brand presence, and identify potential areas to improve.

As a member of the marketing team, you will brainstorm and work on an A-class marketing campaign to increase Razer brand affinity amongst the gaming community by assisting in regional events.

Candidate Requirements:

• Able to commit for a minimum of 5 months for optimal learning exposure
• Fresh Grad or Undergrad with a marketing/business element as part of their major
• Effective communication skills, both written and verbal
• Fast learner, upbeat, and self-motivated
• Detail-oriented and organised, with the ability to manage multiple tasks.

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You will report to the Technical Director.

Responsibilities

• Become familiar with our existing games and help develop new game content based on them to ensure our leading position in the market.
• Lead the Gameplay Development team and develop plans for team growth.
• Develop core game animation and AI functional modules and game mode.
• Improve AI and animation performance and responsiveness to enhance player experience.
• Develop and refine gameplay plugins and tools to improve pipeline efficiency.
• Use tools to analyse and identify performance bottlenecks in AI and animation, providing optimisation solutions.
• Collaborate with GD and art teams to explore and enhance animation quality and gameplay experience.

Qualifications

• Proficient in C++.
• Over 8 years of experience in game engine development.
• Experienced in animation development and have mastered 3D skeletal animation technology.
• Experienced in game performance optimisation and game experience enhancement.
• Experienced in frame synchronisation and state synchronisation in game implementation.
• Experience in team project management.
• Good English reading and writing skills.

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Within the team, you'll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses. If you are an expert in post-training Diffusion models for generative AI, this is your chance.

In this position, you'll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as:

• Apply DPO (direct preference optimisation) to pre-trained models.
• Adapt models to extend their capabilities, for instance, by changing conditioning inputs.
• Build solutions for dubbing and evaluate the quality of lip-sync.
• Implement post-training optimisation techniques, such as quantisation, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
• Analyse and address challenges related to model performance, ensuring high-quality output in avatar rendering.
• Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimisation methods.

You have a background in Computer Vision / Computer Science and 3+ years of industry experience. You have knowledge of recent advancements in post-training techniques. You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain. You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known. You have experience in using most modern frameworks for machine learning and deep learning. You have great coding skills in Python and you care about writing clean code. You have experience with SDLC tools (Git), preferably CI/CD.

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Your main responsibilities will include: Collaborating with the product management team to drive ideation of new features and systems. Leading the design and development of features from concept through launch and iteration, ensuring they align with product goals and design direction. Defining clear design objectives, player value, and success criteria for features, using these to guide development and evaluate outcomes post-launch. Creating and maintaining clear, efficient, and legible feature documentation. Guiding feature development through implementation, collaborating closely with cross-disciplinary teams to ensure quality execution. Reviewing and providing feedback on design output within the feature design team, helping to maintain high standards of design quality, communication, and delivery. Supporting and mentoring designers within the team, helping them to develop their skills and improve their work. Helping to prioritise feature development in collaboration with product management and production. Using player behaviour, feedback, and data insights to evaluate feature performance and inform iteration, optimisation, and design decisions. Helping to establish and maintain strong design practices across the feature team.

To succeed in this role, you will need: A minimum of 5 years' experience working in a game development studio. Experience working on live games with a proven track record of owning and delivering multiple features or systems within the constraints of a release schedule. Strong experience designing features and systems for mobile free-to-play live service games. Experience leading, mentoring, or guiding other designers and helping to improve team output. Strong experience designing and balancing game systems and economies, supported by excellent Excel skills. Strong understanding of analytics, KPIs, and success metrics, and how they can be used to support design decisions, evaluate feature performance, and drive optimisation. Technical skills and knowledge of game development tools, including Confluence and JIRA. Strong communication skills, with the ability to clearly articulate design goals, trade-offs, and requirements across disciplines. Ability to review work, provide clear feedback, and maintain a high bar for design quality. Experience working collaboratively across product, production, art, and development disciplines to drive feature outcomes.

In return, Playdemic offers a competitive salary and benefits package, including healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more.

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As a Technical Lead, Engine Systems, you will report to Principal Technical Director and own the evolution of performance-critical engine systems for Apex Legends. You will lead development across CPU performance, memory, load times, and platform systems while guiding a team of senior engineers. You will define technical direction, simplify complex systems, and deliver stable, scalable solutions that improve player experience and support live service operations.

Responsibilities:

• Lead and support senior engineers building core engine systems
• Define technical roadmap for performance, memory, and platform systems
• Plan large system changes while maintaining live service stability
• Optimise CPU, memory, streaming, and load time performance
• Architect and implement engine systems using C++
• Partner with design, audio, and animation teams on scalable solutions
• Collaborate with EA Central Tech and platform partners on integrations

Qualifications:

• 10+ years in game development with engine systems experience
• 3+ years leading engineers on complex technical initiatives
• Expertise in C/C++ and performance optimisation techniques
• Experience working across large, mature codebases
• Shipped at least one AAA title on console or PC
• Experience developing for Sony, Microsoft, or Nintendo platforms
• Skilled in debugging, profiling, and optimising live systems

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This is a revenue-critical role at an inflection point: ElevenLabs is scaling fast, and the decisions you make around how we segment, structure, and execute our Enterprise post-sales motion will define how we grow. You'll also lead your team through a genuine transformation in how work gets done - one where AI agents, automation, and intelligent tooling reshape every workflow, and where making ElevenAgents the agent of choice for our customers is a core part of the expansion playbook.

Responsibilities:

• Lead, coach, and develop a high-performing Enterprise CS team, owning team quota performance, customer retention, and expansion goals.

• Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices.

• Drive revenue outcomes as a core mandate - building a team culture where cross-sells and account growth are owned with the same rigor as any quota-carrying sales function.

• Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities.

• Set strategic direction for the team, including how we segment and structure the Enterprise post-sales playbook as the business scales, and ElevenAgents as the agent of choice across the Enterprise portfolio.

• Design and implement repeatable playbooks for renewals, upsells, and adoption; embed AI agents and automation into workflows by default to scale team impact.

• Champion AI fluency across the team: set expectations, build capability, and create an environment where every team member is actively experimenting with and adopting AI-powered approaches to their work.

• Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums.

• Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies.

Requirements:

• 8+ years of experience in Account Management or Customer Success or post-sales roles within SaaS, with meaningful focus on Enterprise accounts.

• Proven track record of owning and exceeding revenue targets, with a clear commercial instinct and expansion mindset.

• 3+ years of direct people leadership experience managing senior AMs/CSMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact.

• Deep AI fluency: you use AI tools in your own daily workflow, understand what AI agents and automation can do, and are ready to lead a team through a meaningful shift in how work is designed and executed.

• Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios.

• Demonstrated success in achieving or exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management.

• Expertise in post-sales methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment).

• Strategic operational thinking: able to make sound decisions around playbook design, segment structure, and cross-sell motion as the business continues to scale.

• Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes.

• Bonus: Hands-on with tools (ElevenLabs, Salesforce, Gong, Sigma) and capable of improving data quality, visibility, and usage insights across the team.

XML job scraping automation by YubHub

Your key responsibilities will include producing build specifications, setting up sheets, and all necessary documentation for events; conducting analysis and optimisation of vehicle setup parameters; researching potential areas of development for the Aston Martin GT cars; issuing technical work lists after sessions and events; liaising with drivers on technical matters; providing constructive feedback on driving styles; keeping accurate notes and event reports; and planning, performing, and reporting on specific tests.

To succeed in this role, you will need experience in trackside motorsport in an engineering capacity and be educated to degree level or equivalent in Engineering. A positive, solutions-focused attitude and the capability to think on your feet and identify alternative approaches when faced with challenges are essential.

XML job scraping automation by YubHub

This role owns how Replit understands its customers across every touchpoint. You'll build the analytics and intelligence layer that spans marketing performance, customer signals, and support , turning massive volumes of behavioural data, feedback, and interaction signals into insights that drive growth, retention, and revenue.

You will:

• Design and analyse marketing experiments across paid, lifecycle, and content channels; optimise CAC, LTV, and ROAS
• Build multi-touch attribution and marketing mix models to understand what's driving growth
• Synthesise customer signals , support tickets, social, reviews, CSAT , into automated intelligence that reaches the teams who need it
• Build churn and retention models to identify at-risk users and inform lifecycle intervention strategies
• Define and maintain customer segmentations and personas that drive targeting, messaging, and product decisions
• Build the analytical foundation for Voice of the Customer , connecting qualitative feedback signals to quantitative behaviour data at scale
• Detect emerging product issues and bugs faster by surfacing support signal early enough to shape engineering priorities
• Optimise automation and deflection to reduce support load and improve self-serve resolution rates
• Build the measurement foundation to fully optimise ROI across all support activities
• Use LLMs and agentic workflows to analyse unstructured data at scale and automate recurring analysis
• Create automated reporting that puts key metrics to inform the company

Required Skills and Experience:

• 6+ years of experience in data science with a focus on marketing, growth, or customer analytics
• Strong SQL skills and experience with large-scale event-level user behaviour data; experience designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.)
• Experience designing and analysing A/B tests with statistical rigor (sample sizing, significance testing, causal inference)
• Experience building dashboards and visualisations (Hex, Looker, Tableau, Mode, or similar) , ideally automating them
• Demonstrated experience using LLMs/AI tools in analytics workflows , not just prompting, but building automated systems
• Track record of partnering cross-functionally with Marketing, Product, Engineering, Support, and Revenue/Sales teams , not just serving a single stakeholder

Preferred Qualifications:

• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, Segment, etc.)
• Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company
• Experience with marketing technology platforms (Google Analytics, Segment, Iterable, Salesforce)
• Experience with attribution modelling, marketing mix modelling, or incrementality testing
• Experience analysing unstructured customer data (support tickets, reviews, social mentions) using NLP or LLM-based approaches
• Understanding of PLG motions and self-serve conversion funnels
• Experience with support analytics, CSAT analysis, or customer experience measurement

Bonus Points:

• Experience analysing freemium or usage-based pricing models
• Understanding of developer tools, collaborative coding environments, or technical products
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching)
• Experience building AI agents or automated analytical pipelines using LLM APIs

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Your key responsibilities will include:

• Overall responsibility for accounting, tax, payroll, including treasury and time management
• Ensuring and coordinating monthly and annual financial statements according to HGB
• Responsibility for liquidity planning, cash management, and overall payment traffic, including reporting to the group
• First point of contact for accounting and tax issues, as well as coordination of cooperation with tax consultants, auditors, and business auditors
• Leadership of projects and implementation of process optimisations

To be successful in this role, you will need:

• A degree in business administration with a focus on finance or accounting, or equivalent qualification
• In-depth knowledge of relevant accounting standards (HGB, ideally also IFRS)
• Excellent knowledge of tax law and fundamental SAP knowledge (FI/CO)
• Several years of leadership experience in the finance department, ideally in accounting
• Experience in working with tax consultants, auditors, and business auditors
• Strong problem-solving skills and a structured and analytical way of working
• Ability to prioritise clearly and act confidently, even in dynamic situations
• Hands-on mentality and willingness to participate operationally
• High communication and assertiveness skills, as well as team orientation
• Enjoyment of designing, optimising, and further developing processes and methods
• Fluent German and English language skills

If you are a motivated and experienced professional looking for a new challenge, please submit your application. We look forward to hearing from you!

XML job scraping automation by YubHub

Responsibilities

Design and develop modern web applications using ReactJS and modern JavaScript. Build reusable components, shared modules, and scalable frontend architecture. Translate UI/UX designs into high-quality, performant implementations. Optimize applications for performance, scalability, and responsiveness. Ensure cross-browser compatibility and responsive design. Improve frontend observability, performance metrics, and user experience. Work closely with product and design teams to deliver seamless user experiences.

Backend Development

Design and implement APIs supporting frontend features. Contribute to backend services powering conversations and workflow systems. Work with databases and distributed systems at scale. Debug and resolve production issues across frontend and backend layers. Improve reliability, scalability, and performance of backend components.

Engineering Excellence

Own features from development through deployment and monitoring. Write clean, maintainable code with strong test coverage. Write unit, integration, and regression tests. Review peer code and uphold engineering standards. Identify bottlenecks, troubleshoot issues, and drive informed technical improvements.

Requirements

Experience

6+ years of software development experience. Strong experience building medium to large-scale web applications. Experience working across both frontend and backend systems.

Frontend Skills (Primary)

Strong proficiency in: JavaScript (ES6+) ReactJS HTML5 and CSS3

Experience with state management patterns (Redux, Flux, or equivalent). Familiarity with modern build tools such as Webpack and Babel. Strong understanding of frontend performance optimisation techniques. Experience addressing cross-browser compatibility challenges. Experience building reusable component libraries or scalable UI architectures.

Backend Skills

Experience designing or consuming REST APIs. Understanding of distributed systems and backend architecture. Familiarity with server-side development (JVM ecosystem preferred). Experience with one or more data stores such as PostgreSQL, MongoDB, Redis, or Elasticsearch. Comfortable working in Linux/Unix environments and using CLI tools.

Engineering Practices

Strong computer science fundamentals including data structures and algorithm complexity. Proficiency with Git and distributed version control workflows. Experience writing unit and integration tests. Strong debugging and problem-solving skills. Excellent verbal and written communication skills.

Nice to Have

Experience with CSS frameworks such as Sass or Tailwind. Exposure to large-scale frontend applications. Experience with performance benchmarking and observability tools. Familiarity with event-driven systems or real-time platforms. Experience with functional programming concepts. Exposure to or experience with Clojure is a strong plus.

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As a member of the Platform team, you will build and mature database foundations for Scale, leveraging industry-standard platforms. You will collaborate with stakeholders across the organisation, including software developers, platform engineers, machine learning scientists, customer operations, etc.

Key responsibilities include:

Building and maintaining high-performance database systems Collaborating with cross-functional teams to design and implement scalable database solutions Developing and optimising database queries and indexing strategies Ensuring data consistency and integrity across multiple systems Mentoring junior engineers and contributing to the growth of the team Improving engineering standards, tooling, and processes Working directly with engineering and sales teams to create backend database solutions to meet their challenging data and security needs Working with the Security Team on security compliance, pen tests, and mitigations that improve security across Scale Building systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability.

This role requires:

5+ years of industry experience as a database engineer post-graduation Engineering experience with building real-time and distributed system architecture Experience designing and self-hosting databases on industry-standard public cloud platforms Deep familiarity with design, architecture, optimisation, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis Deep familiarity with SQL query optimisation, database indexing, scalability (partitioning/sharding), and replication Experience developing and optimising backup and restore functionality to meet RTO goals Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads.

Nice to haves:

Prior startup experience to help us grow responsibly Experience with AWS, Datadog, ElasticSearch Experience with cloud-based data warehouse solutions like Snowflake or Databricks Experience with cost optimisation strategies and techniques for database platforms Experience developing and designing intermediary data abstraction layers Mentored and grown members of your team or been a tech lead on large projects.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

XML job scraping automation by YubHub

If you're looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people's lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.

To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. You will join a cloud architecture team that works closely with engineering teams and other architects across the organisation.

Responsibilities

Technical Requirements

• Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Vertex AI, Dataflow, Dataproc, Cloud Run, CloudSQL, Spanner and Apigee.

• Security & Networking: Strong understanding of cloud security protocols, IAM, encryption, and complex network topologies.

• Data Management: Proficiency in Enterprise Data Platforms, Data mesh architecture and data-driven architectural patterns.

• DevOps Tooling: Hands-on experience with GitHub, SonarQube, Checkmarx, and FOSSA.

• Software Engineering: Strong background in building Web Services and maintaining Clean Code standards.

Technical Leadership & Strategy

• System Design: Work with engineering teams to refine system designs, evangelising for horizontal scalability, resilience, and Clean Code compliance.

• Product Collaboration: Partner with Product Managers to decompose complex business needs into incremental, production-ready user stories within an Agile/Sprint methodology.

• Architectural Governance: Assess and document the rationale and tradeoffs for technical decisions; contribute to the broader Cloud Architecture team to improve global practices.

• DevOps Excellence: Utilise and improve CI/CD pipelines using GitHub and automated testing/security tools to maximise deployment efficiency and minimise risk.

Cloud, Networking & Security

• Secure Infrastructure: Serve as the primary architect for cloud solutions, ensuring 'Secure-by-Design' principles are applied across Google Cloud services (Dataflow, Dataproc, CloudRun, CloudSQL, Spanner).

• Advanced Networking: Design and optimise cloud networking configurations, including VPCs, Service Controls, Load Balancing, and Private Service Connect to ensure high availability and low latency.

• Cyber Security Oversight: Integrate security scanning and compliance into the architecture (utilising Checkmarx, SonarQube, and FOSSA). Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).

• API & Data Contracts: Bolster 'Data as a Product' practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.

• FinOps & Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.

• SRE & Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.

• DevSecOps & Problem Solving: Integrate security automation into CI/CD pipelines to ensure 'Secure-by-Design' deployments while solving complex architectural trade-offs between speed, scale, and risk.

• Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc

Nice to Have

• AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.

• Agentic & GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration.

• Kubernetes (GKE): Experience managing containerised workloads at scale.

• Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.

• MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.

Qualifications

You'll have...

• Requires a bachelor's or foreign equivalent degree in computer science, information technology or a technology related field

• 5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)

• 2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.

• Experience designing/architecting and running distributed systems in a production environment

• STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation

Even better, you may have...

• Master's degree in computer science, electrical engineering or a closely related field of study

• Familiarity with a breadth of programming languages, platforms, and systems

• Experience with asynchronous messaging and eventually consistent system design

• An agile, pragmatic, and empirical mindset

• Critical thinking, decision-making and leadership aptitudes

• Good organisational and problem-solving abilities

• MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, and prescription drug coverage

• Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more

• Vehicle discount programme for employees and family members, and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year's Day

• Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: Benefit Summary

XML job scraping automation by YubHub

We're looking for a skilled buyer to join our team, responsible for procuring growth technologies and optimising our kitting processes. As a key member of our growth technologies team, you'll drive cost reduction opportunities, mitigate supplier cost uplift requests, and ensure superior delivery performance from our supply base.

Responsibilities:

• Procurement: Identify cost reduction opportunities, mitigate supplier cost uplift requests, drive service supply improvements, ensure superior delivery performance from our supply base, support adherence of supplier quality process requirements, execute timely new part sourcing, develop and execute strategic sourcing strategies, lead supplier management and engagement

• Cross-Functional Collaboration: Work closely with various departments, including marketing and sales organisations, supply chain, and finance to ensure process improvements align with company objectives and business needs

• Performance Monitoring: Analyse supplier performance and cost data to identify trends, bottlenecks, and areas for further process and cost optimisation

Requirements:

• Bachelor's degree in Supply Chain or related field

• 5+ years of experience in purchasing, sourcing, and procurement

• 5+ years of delivering measurable cost savings through sourcing strategies, supplier negotiations, or demand optimisation

• 5+ years of experience managing significant spend categories with responsibility for achieving cost targets, tracking savings pipelines, and reporting realised vs. forecasted savings

• Proven ability to analyse supplier cost structures (e.g., material, labour, overhead) and leverage data-driven insights to negotiate cost reductions and mitigate price increases

• Established and successful track record of managing complex commodities and delivering optimised cost solutions

• Strong analytical and problem-solving skills with proficiency in using Microsoft Office Suite

• Excellent project management skills

• Strong communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels

Preferred Qualifications:

• Experience driving kitting optimisation initiatives by partnering with suppliers and cross-functional teams to streamline material flow, reduce complexity, and deliver measurable cost and productivity improvements

Benefits:

• Immediate medical, dental, vision, and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programmes, subsidised back-up child care, and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount programme for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year's Day

• Paid time off and the option to purchase additional vacation time

Salary:

This position is a salary grade 8 and ranges from $96,720 to $162,120

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility, and competitive market value

For more information on salary and benefits, click here: https://fordcareers.co/GS R

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We are seeking a Senior Client Account Manager to join our European Enterprise Sales team. As a key member of our team, you will be responsible for driving a book of business with some of our key partners on our Retail Team. You will work directly with some of our key advertisers as a trusted consultant to their business.

Responsibilities

• Build and nurture relationships with our Partners, proactively reaching out to partners regarding campaign performance, optimisations, updates, and opportunities.
• Ensure that our partners' objectives and requirements are met by liaising between them and our internal teams (Measurement & Insights, Product Marketing, Creative Strategy, etc).
• Gain a deep understanding of our partners' business goals and turn data into compelling stories and actionable insights to help them succeed.
• Specifically own the 'how' conversation with advertisers to advise on media strategies across targeting, bidding models, creative, measurement, etc.
• Become an expert at Pinterest campaign best practices, enabling yourself to be the resource for performance-related opportunities. Ensure that campaign setup is optimal. Interpret and communicate campaign results so that the customer sees impact.
• Evaluate if a digital media campaign is successful and how to troubleshoot. Understand how to drive results, optimise campaigns and deliver performance updates to partners.
• Ensure the performance metrics that were agreed upon are being met, and take action to course-correct.
• Actively engage in client meetings to understand their key objectives and challenges. Presenting and explaining complex solutions in a clear and concise manner to help partners achieve their objectives.
• Handle resistance, complaints, or objections from partners professionally and patiently.
• Cross-sell and upsell opportunities that contribute to the team's ability to exceed revenue targets.

Requirements

• Digital advertising sales experience, managing high-value relationships, driving strategic learning agendas, and owning client communication.
• Track record of compelling data-backed storytelling and recommendations.
• Expert in managing forecasts and achieving goals.
• Strong communication skills in person, on the phone, and through email.
• A team player who's able to work in a fast-paced environment with technical and non-technical teams.
• Expertise in digital advertising and media sales, including campaign optimisation, analytical problem-solving, and product/platform knowledge.
• Technical foundation with relevant experience in Search/Shopping/Display/Social advertising technologies.
• Demonstrates curiosity and a willingness to explore AI tools to improve day-to-day productivity, including campaign setup, performance reporting, client communications, and research.
• Leverages AI to work more efficiently, whether it's streamlining optimisations, preparing for client meetings, or surfacing insights from campaign data, while maintaining attention to detail and a high bar for accuracy.

What We Offer

• Competitive salary and benefits package
• Opportunity to work with a leading social media platform
• Collaborative and dynamic work environment
• Professional development and growth opportunities

If you're a motivated and experienced sales professional looking for a new challenge, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

You will report to the Senior Director, Marketing - Domains & Applications, and work remote from a US-approved state or hybrid from our NYC Headquarters.

Key responsibilities include:

• Continuing to scale and refine the global marketing strategy for the Squarespace Domains business, focusing on sustainable growth, stronger channel performance, and deeper international traction.

• Evolving the Domains product brand to further align with Squarespace’s core values (design excellence, clarity, transparency) and expanding brand visibility across priority markets.

• Strengthening and optimising the partnership marketing program with key organisations in the Domains ecosystem, identifying new co-marketing opportunities and maturing existing partnerships for long-term impact.

• Working cross-functionally with Squarespace’s marketing teams, including media, lifecycle, and content, to enhance campaign effectiveness and continue optimising the shared-services operating model.

• Collaborating closely with Product Management to amplify product launches, improve messaging precision, and showcase value to both new and existing users.

• Leveraging data analytics to refine KPIs, expand testing programs, and drive ongoing optimisation across acquisition and retention initiatives.

• Managing and allocating marketing spend with increasing efficiency, tracking performance against revenue, CAC, LTV, ROI, and broader product-led growth goals.

• Partnering with Analytics, UX Research, and CRM to iterate on and optimise a cross-product introduction framework that increases adoption of additional Squarespace products and supports customer engagement, retention, and lifetime value.

To succeed in this role, you will need:

• 12+ years of marketing experience focused on growth, brand, and partnerships.

• Experience working for a B2C tech or SaaS company.

• Previous experience building and overseeing marketing budgets, allocating resources to high-impact channels and campaigns.

• The ability to evaluate and build a roster of growth-focused partnerships to engage with on promotional and co-marketing programs that align with Squarespace brand values.

• Deep understanding of organic and paid user funnels, with experience owning programs that directly drive acquisition.

• Familiarity with performance marketing metrics (CPM, CPI, CPA, CPC & LTV) and adept at using data for campaign optimisation.

• A proven track record of being able to work cross-functionally and represent marketing with senior partners across Product, Finance, Business Development, and Analytics.

• Comfort in creating insights materials and marketing briefs to engage with a world-class Creative organisation and provide feedback on creative materials that will be used in campaign and brand work.

• Experience in attracting, retaining, and developing outstanding marketing talent.

XML job scraping automation by YubHub

In this role, you will be responsible for shaping multi-year technical strategy, driving architectural coherence across organisations, and building systems that serve as foundational platforms for multiple product surfaces. You will lead the design and evolution of distributed backend systems, cloud-native infrastructure, and data platforms that operate at global scale with strict requirements for availability, latency, security, and cost efficiency.

These systems form the backbone for intelligent user experiences and must be designed for long-term extensibility and operational excellence. Building on this foundation, you will guide the integration of LLM-powered capabilities into production systems,defining patterns for retrieval, orchestration, evaluation, and responsible AI. You will ensure these capabilities are not isolated features, but deeply embedded, reliable, and scalable parts of the platform.

This role requires exceptional technical judgment, the ability to operate in highly ambiguous spaces, and a track record of influencing across teams and organisations. You will work closely with engineering leaders, product leaders, and applied scientists to align technical investments with long-term business outcomes.

Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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Eoghain works in the thrilling world of Formula One, where speed and precision are paramount. As an Aerodynamics specialist, he plays a crucial role in designing and optimising the team's car to achieve top speeds and performance.

Responsibilities:

• Work closely with the design team to develop and improve the aerodynamic performance of the car
• Conduct wind tunnel testing and analysis to identify areas for improvement
• Collaborate with engineers to implement design changes and test their effectiveness

Benefits:

• Opportunity to work on cutting-edge technology and contribute to the team's success
• Collaborative and dynamic work environment with a talented team of engineers and designers
• Professional development and growth opportunities within the company

If you're passionate about aerodynamics and want to join a world-class team, we'd love to hear from you!

XML job scraping automation by YubHub

We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where 'zero-waste' compute efficiency and 100% system resilience are mandatory. From optimising massive data storage layers to architecting low-latency microservices that must function in disconnected regions, you will own the end-to-end lifecycle of mission-critical code.

Key responsibilities include:

• Architecting scalable systems using Scala, Java, Go, C++/C or similar
• Designing and implementing highly available backend services in Java, Scala, or Go that power our Data Intelligence Platform across sovereign and air-gapped clouds
• Solving complex architectural trade-offs around concurrency, storage, and networking to ensure the platform remains resilient in high-consequence public sector environments
• Driving 'zero-waste' compute initiatives, optimising our engine and services to perform in resource-constrained or specialised regions (e.g., GovCloud)
• Partnering with Production Engineering to ensure all backend services meet the highest security standards and compliance guardrails while maintaining high availability

XML job scraping automation by YubHub

Your primary responsibilities will include:

Conducting direct customer calls to diagnose and resolve technical and operational issues, with a focus on AI and advanced platform capabilities Guiding customers through complex implementations, automation workflows, API integrations, and database optimisations Proactively identifying and addressing adoption barriers, accelerating customer success and platform utilisation Maintaining a high standard of customer satisfaction (5.0 CSAT) and productivity (>70% occupancy) through efficient case management Continuously learning and mastering new Airtable features and AI functionalities, staying ahead of product updates and emerging use cases Collaborating with internal teams to share customer insights and contribute to product and process improvements

To succeed in this role, you'll need to be experienced in higher education or similar environments, with a strong understanding of institutional workflows and challenges. You'll also need to be technically proficient, with the ability to quickly learn and apply new tools, especially no-code/low-code platforms and AI features.

In addition to your technical skills, you'll need to be a skilled problem-solver, comfortable navigating databases, automations, and integrations to deliver effective solutions. You'll also need to be self-directed and adaptable, able to independently research and master evolving platform capabilities without extensive formal training.

If you're a naturally inquisitive and consultative individual, adept at asking probing questions to uncover root causes and identify opportunities for expanded platform usage, then we'd love to hear from you.

XML job scraping automation by YubHub

Leading, motivating and developing a team of customer care professionals Ensuring a high level of customer satisfaction through excellent communication and problem-solving skills Monitoring and controlling daily operations and relevant KPIs and SLAs Managing escalations and key account relationships with a focus on transparent and solution-oriented communication Handling order management, including order intake, term monitoring, and coordination with logistics, service and internal interfaces Continuously optimising processes along the customer journey, including digitalisation and efficiency improvements Collaborating closely with sales, technical, product management and finance teams Providing operational support in the day-to-day business, particularly for complex issues

To succeed in this role, you will need:

A degree or equivalent qualification, preferably in a technical, commercial or operational field Leadership experience or a clear leadership personality from an operational background (customer care, service, logistics, order processing, production etc.) High customer orientation, excellent communication and problem-solving skills Enjoyment of organising, developing and shaping operational teams and processes Proficiency in basic metrics (KPIs, SLAs) and digital tools Good German and English language skills

We offer:

Flexible working hours, flexible working time and the possibility to work remotely Working in an independent business unit with flat hierarchies, integrated into the infrastructure of a global corporation Open, development-oriented teams and a culture of feedback 30 days' holiday, attractive employee discounts and a free parking space with charging points for electric vehicles and e-bikes Urban Sports Club membership and JobRad If this sounds like you, please apply now and join our team!

XML job scraping automation by YubHub

You will work closely with our team to identify and attract top talent, and contribute to the development of our recruitment strategy. You will also have the opportunity to work on various projects and initiatives, and collaborate with different departments across the company.

We are looking for a motivated and enthusiastic individual who is passionate about recruitment and talent development. You should have excellent communication and interpersonal skills, and be able to work effectively in a team.

The internship will last for 3-6 months, starting in mid-July 2026. You will receive a competitive stipend and have access to our digital learning and working tools.

If you are interested in this opportunity, please submit your application, including your CV and a cover letter, to our online application portal.

XML job scraping automation by YubHub

Your responsibilities will include:

• Developing and implementing a comprehensive shift-left test strategy for SDV systems based on vECU virtualisation, including business case evaluation, tool comparison, scalability, and cost models
• Designing, building, and further developing cloud-based test environments for embedded and software-defined vehicle systems
• Providing strategic advice to OEMs, Tier-1s, and technology partners on cloud, hybrid, and hardware test approaches throughout the entire development cycle
• Evaluating, selecting, and integrating leading vECU solutions into existing toolchains and CI/CD pipelines
• Active stakeholder management, including customer contact, pre-sales support, and presenting strategic recommendations at the management level
• Introducing and scaling AI-driven methods in quality assurance, such as intelligent test prioritisation, anomaly detection, or data-driven optimisation of test strategies

To be successful in this role, you will need:

• A degree in computer science, electrical engineering, or a related field, combined with over 5 years of experience in test automation of embedded or SDV systems (e.g. ADAS, infotainment, or zone architectures)
• Practical experience with vECU approaches from at least two projects, including setting up cloud-based test environments and integration into CI/CD pipelines
• Passion for modern software-defined vehicle architectures, innovative test methods, and the use of AI in quality assurance, such as intelligent test case generation, fault classification, or anomaly detection
• Expertise in cloud and virtualisation technologies, particularly container and VM-based test infrastructures, as well as hybrid cloud/HIL scenarios
• Strong understanding of the market and technology landscape in the areas of vECU, SDV, and automotive testing, combined with experience with common toolchains

As an ideal candidate, you will be characterised by a structured and analytical approach, the ability to clearly present complex and unclear problem statements, and derive decision options for management and technology. You will also possess strong communication and advisory skills, as well as a leadership mindset with technical expertise, clarity, and initiative.

The position is available immediately, and we offer a competitive salary and benefits package. If you are interested in this exciting opportunity, please submit your application, including your resume and cover letter, to our careers portal.

We look forward to hearing from you!

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Your responsibilities will include:

• Processing your own projects in the production planning department
• Participating in the conception and implementation of digitalisation and innovation projects in the planning department
• Evaluating and implementing optimisation suggestions in production
• Supporting production planners in their daily operations
• Independently taking on and processing problems when launching new vehicles

To be successful in this role, you should have a strong affinity for production planning, product processes, and technical connections. You should also be able to work independently and have good organisational skills.

As a process optimisation intern, you will have the opportunity to contribute to the development of our production processes and make a positive impact on our company's success.

We offer a challenging and dynamic work environment, as well as opportunities for professional growth and development. Our team is committed to excellence and is passionate about delivering high-quality results.

If you are a motivated and detail-oriented individual who is looking for a challenging and rewarding internship, we encourage you to apply for this exciting opportunity.

The internship will last for 6 months and will start on September 1st, 2026. You should have a valid student ID during the entire internship period.

Please submit your application, including your CV, cover letter, and any relevant certificates or references, to our online application portal.

We look forward to receiving your application!

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Your tasks will include:

• Independent planning, control, and implementation of SAP-IBP projects along the end-to-end supply chain planning processes (e.g. demand, supply, response, and inventory) - from cost calculation and conception to implementation, workshops, testing, and user training.

• Taking over the comprehensive professional and methodical responsibility for a portfolio element in the SAP-IBP field (e.g. demand planning, S&OP, inventory optimisation) including continuous development of solutions and best practices.

• Leading SAP-IBP implementations, including budget, quality, and success responsibility, central point of contact for customers, and professional leadership, coaching, and development of internal teams.

• Professional responsibility for pre-sales and sales activities in the SAP-IBP context as an interface between the department and sales, including leading bid teams, developing solution concepts, and creating and presenting offers.

To be well-equipped for your path as a senior manager, you should have the following qualifications:

• Completed studies and at least 5.5 years of work experience in consulting or in-house consulting with a focus on SAP IBP or PP/DS.

• Passion for professional and strategic leadership and building partnerships.

• Expertise in SAP solution components IBP, PP/DS, and/or APO and in the S/4HANA environment, as well as experience in professional leadership and/or project management of SAP planning projects.

• Your way of working is characterised by a convincing appearance as a trusted advisor and MHP representative both with customers and internally at MHP.

Key information before departure:

• Start date: after agreement - always at the beginning of a month.

• Working hours: full-time (40 hours); 30 days' holiday.

• Employment contract: unlimited.

• Field: Consulting.

• Language: secure German and English.

• Flexibility and willingness to travel.

• Other: valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date.

MHP is a technology and business partner that digitalises processes and products for its customers, and accompanies them on their IT transformation along the entire value chain. As a digitalisation pioneer in the sectors of mobility and manufacturing, MHP transfers its expertise to various industries and is the premium partner for thought leaders on the way to a better tomorrow.

Worldwide, MHP supports over 300 customers: leading corporations and innovative medium-sized companies. MHP advises both operationally and strategically and provides renowned IT and technology expertise as well as specific industry knowledge. As a one-team player, MHP operates internationally with its headquarters in Germany and subsidiaries in the USA, UK, Romania, and China.

For 25 years, MHP has been shaping the future together with its customers. Over 3,000 MHP employees unite the claim to excellence and sustainable success. This claim drives MHP forward - today, tomorrow, and in the future.

MHP: DRIVEN BY EXCELLENCE.

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As a Manager, you will be responsible for advising our customers on the introduction or optimisation of external trade and customs processes with SAP GTS or S/4HANA, integrating between the export department/customs department and the IT world, evaluating typical material flows in manufacturing companies in the areas of materials management and sales, using new technologies such as S/4HANA or agile project management tools, and taking on a consultative role in various project phases, including evaluation, concept/design of processes, prototyping, implementation in the system, testing, rollout, and support.

Responsibilities:

• Advising customers on the introduction or optimisation of external trade and customs processes with SAP GTS or S/4HANA
• Integrating between the export department/customs department and the IT world
• Evaluating typical material flows in manufacturing companies in the areas of materials management and sales
• Using new technologies such as S/4HANA or agile project management tools
• Taking on a consultative role in various project phases, including evaluation, concept/design of processes, prototyping, implementation in the system, testing, rollout, and support

Requirements:

• Master's degree with a technical or business administration focus, and at least 6 years of relevant work experience in consulting or in-house consulting, or in automotive or manufacturing companies with a focus on SAP
• Passion for process modelling and optimisation
• Expertise in the application and implementation of SAP solution components Global Trade Services (GTS) and S4/HANA, as well as knowledge of legal foundations, paragraphs, and the Union Customs Code
• Professional appearance and presentation experience, structured and independent working style, analytical thinking, and excellent team and communication skills

Benefits:

• Flexible working hours and location
• Opportunity to grow professionally and personally
• Recognition and appreciation of employees
• Encouragement of creativity and new ideas

Contact:

• For further information, please visit our FAQs on our career website.
• For additional inquiries, please contact our recruitment team at +49 (0)7141 7856 1600.

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Then join our team and design together with us the successful digital future of our customers – continuously focusing on value creation processes: From planning to procurement, logistics, production, sales, and service – end-to-end!

Your tasks will include:

• Advising our customers on the introduction or optimisation of processes in project management with SAP PS
• Integration consulting between the functional department and the IT world
• Evaluating typical material flows in manufacturing companies in the areas of materials management, production planning, and sales
• Using new technologies, such as S/4HANA or agile project management tools
• Depending on the project phase, taking on a flexible advisory role: Evaluation, concept and design of processes, prototyping, implementation in the system or testing, rollout, and support

To be well-equipped for your path as a Manager (all genders), you should have the following qualifications:

• Completed studies with a technical or business administration focus and at least 5 years of relevant work experience in consulting or in-house consulting, or in automotive or manufacturing companies with a focus on SAP
• Passion for and in-depth knowledge of process modelling and optimisation
• Expertise in the application and implementation of SAP PS module processes, as well as integrated knowledge of the FI/CO, SD, MM, PP, or PM modules. Experience with SAP PPM or SAP CPM is an advantage
• Your working style is characterised by a professional appearance and presentation experience, a structured and independent working style, analytical thinking, and excellent team and communication skills

Important information before departure:

• Start date: after agreement – always at the beginning of a month
• Working hours: full-time (40 hours) or part-time (from 20 hours) possible; 30 days' holiday
• Employment relationship: Unlimited
• Field of work: Consulting
• Language: Secure German and English
• Flexibility and travel readiness
• Other: Valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalises processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the market, with a strong presence in Europe, North America, and Asia.

At MHP, you will find a dynamic and innovative work environment that offers numerous opportunities for growth and development. Our team is passionate about delivering exceptional results and making a meaningful impact on our customers' businesses.

If you are looking for a challenging and rewarding career opportunity, we encourage you to apply for this position. Please submit your application, including your resume and cover letter, through our online portal. We look forward to hearing from you!

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Your focus will be on identifying real capability gaps, creating the right solutions, rolling them out effectively, and proving through data that they work.

As a Learning & Performance Specialist, you will:

• Create, manage, and continuously improve general bunq training programs.
• Lead interactive workshops and in-person trainings focused on real behaviour change.
• Measure training effectiveness and translate insights into actionable improvements.
• Improve existing internal processes or create new ones to optimise employee performance and development.

Requirements

• You have deep knowledge of creating effective and engaging training programs by deadline.
• You know how to measure training impact and use data to improve outcomes.
• You genuinely enjoy in-person training, coaching, and working closely with people.
• You're familiar with process optimisation and like making things work better.
• You naturally take ownership and proactively close performance gaps.

Your space to perform

We give you the space and the tools you need to succeed.

Benefits

• Join forces with great colleagues across the globe to revolutionise banking.
• Make lasting impact by working on complex & exciting challenges.
• Accelerate your career growth with bunq Academy and a 1500 EUR annual learning budget.
• Flex Benefits: €70 monthly budget via Re: benefit, offering access to 150+ perks tailored to your lifestyle.
• A Macbook to keep with you while you're with us.
• Hybrid setup: after 3 months in-office, work 2 days remote, 3 days in-office weekly.
• Digital Nomad Program: After your first year, enjoy up to 20 days per year to work while travelling, combining flexibility with strong team collaboration.
• We reward tenure with a dedicated travel budget: €1.5k after 2 years and €3k after 4 years to visit another core office.
• Lunch and snacks at the office, vegan options included.
• Private health insurance, just in case.
• Friday drinks, team events, and other celebrations - bunq style!

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We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data.

Principal Responsibilities:

• Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

• Optimise existing components for latency, throughput, and CPU/memory efficiency.

• Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.

• Profile and debug performance issues at application, OS, and network levels.

• Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.

• Write clean, production-quality code with appropriate tests and documentation.

• Participate in code reviews, design discussions, and continuous improvement of engineering practices.

Required Qualifications:

• Strong proficiency in modern C++ (C++17/20 or later).

• 5+ years of experience.

• Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.

• Familiar with basics statistics as applied to financial research.

• Proven experience building performance-critical, real-time, or low-latency systems.

• Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.

• Experience using profiling, benchmarking, and performance analysis tools.

• Proficiency with version control (Git) and standard build systems.

• Excellent problem-solving skills and attention to detail.

• Strong interpersonal skills with a proven ability to navigate large organisations.

Preferred Qualifications:

• Experience with kernel bypass or user-space networking technologies.

• Familiarity with AI productivity enhancing coding tools.

• Experience in financial markets, market data distribution, order routing, or exchange connectivity.

• Experience with monitoring/telemetry for high-performance systems.

• Familiarity with scripting languages for tooling and automation.

• AI: Familiarity with AI productivity enhancing coding tools.

Personal Attributes:

• Obsessed with performance, measurement, and data-driven optimisation.

• Comfortable owning features end-to-end and operating in a production environment.

• Clear communicator who can work closely with both technical and non-technical stakeholders.

• Proactive, self-directed, and able to thrive in a highly iterative environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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We are currently seeking an experienced professional to join our team in the role of Head of PB CLM and Client Reporting.

As a senior technology leader, you will be responsible for overseeing the delivery of technology solutions that enable faster and safer delivery, with clear VSIP delivery priorities, roadmaps, and capacity plans.

Key responsibilities include:

• Ensuring resilient and quality engineering, driving engineering best practices and automation, cloud adoption and optimisation, and service resilience across your domain.
• Empowering delivery teams to be efficient, driving Agile Ways of Operating and managing Technology financials and resources within approved budgets.
• Driving convergence towards FSA and global scalable solutions.
• Focusing on the improvement of customer experience, whilst clarifying and prioritising demand across all markets.

You will partner with the business to define a coherent vision and supporting technology roadmap, aligned to the GPB Future State Architecture in line with business Target Operating models and Enterprise Technology architecture principles.

All aspects of change delivered in S/VS, including adherence to global HSBC principles and frameworks.

Input into S/VS backlog prioritisation and decision making, via transparent communication with key stakeholders including Domain Heads and Market CIOs.

Defining and shaping technology components of the Capabilities, Features and Customer Journeys.

Supporting other GPB domains, by providing a common framework for the delivery of consistent and complementary data and reporting solutions.

Reducing RTB costs through minimising solution variation across Markets, demising legacy solutions and driving alignment to Future State Architecture.

Developing Country Technology delivery roadmap in partnership with Business and ensuring Country demand is clearly articulated and prioritised within global portfolios.

Engineering & Technical Service Management

• Delivery of Technology specific development of new and existing solutions required to enable realisation of OKRs in line with the Technology resilience standards.
• Enabling customisation/configuration of technology solutions to factor technology-specific local market requirements and regulations.
• Ensuring effective service management for GPB CLM & Client Reporting services and incidents, constantly aiming for high levels of customer satisfaction.
• Ensuring adherence to security and compliance standards, including data privacy regulations.

Collaborating with cybersecurity and compliance teams to implement best practices, conduct audits, and mitigate risks.

Leadership & Teamwork

• Managing a globally dispersed Technology team, developing talent and instilling a culture of high-performance and cross-functional collaboration.
• Maintaining strong relationships with Business stakeholders, partnering to deliver world-class solutions within your domains.
• Guiding Technology teams in clarification of needs and possible solution paths, together with Business, Transformation and Flow-to-Work teams.

Knowledge & Experience/Qualifications

• Domain Knowledge – Experience in a global Private Banking technology organisation, a global and multi-divisional setting being a significant advantage.
• Cross-Functional Collaboration – Unifying cross-functional Business and Technology teams to drive and optimise achievement of common objectives and customer outcomes.
• Technology & Resilience – Understanding of relevant platforms, tools, and processes to drive delivery efficiency, resilience, and engineering excellence (e.g. Mode2, TRMF, SonarQube), as well as experience with high availability, high-scale, and performant systems.
• Lean-Agile Practices – Proven experience with Lean-Agile ways of working (DevSecOps, sprints, Jira/Kanban workflows etc.), to increase efficiency and optimise value delivery.
• Financial – VSIP budget and resource allocation, value-based decision making, cost optimisation and business case development.
• Stakeholder Management & Communication Skills – Conveying complex concepts, facilitating discussions, and driving consensus among stakeholders at all levels, with the ability to balance conflicting and changing demands through prioritisation and a pragmatic approach.

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You will work closely with Scale’s ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimising the platform to enable our next generation LLM training, inference and data curation.

Key responsibilities include:

• Building, profiling and optimising our training and inference framework.
• Collaborating with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation.
• Researching and integrating state-of-the-art technologies to optimise our ML system.

The ideal candidate will have:

• Passionate about system optimisation.
• Experience with multi-node LLM training and inference.
• Experience with developing large-scale distributed ML systems.
• Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc.
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, PyTorch, transformers, flash attention, etc.

Nice to haves include demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

About the Internship: The Digital Success team helps Okta customers of all sizes adopt our platform and maximise their investment. We bridge the gap between customer pain points and tangible value, guiding companies from onboarding to a successful renewal. As a Digital Success Intern focusing on Automated Field Insights, you will play a pivotal role in our ability to scale value realisation by leveraging cutting-edge automation and AI to deliver insights at scale.

Throughout your internship, you will contribute to high-impact projects leveraged by our customer-facing teams, directly influencing how our customers perceive value.

What You’ll Get to Do:

• Content Audit & Optimisation: Lead the end-to-end audit of our automated presentation decks. You’ll ensure content is current, on-brand, and consistent across our decks and Highspot, collaborating cross-functionally to maintain a 'single source of truth' while identifying ways to better use AI to maintain content over time.

• Customer Sentiment & Gong Analysis: Dive deep into Gong data to analyse customer calls. You will identify emerging business goals (specifically around AI adoption), uncover recurring themes, and compare these insights against our current Matik content to recommend high-impact updates.

• AI Functionality Deep-Dive: Act as the team’s 'AI Scout' by exploring Platform AI capabilities. You will evaluate and build internal use cases for AI Insights, AI Query Builder, and email to streamline our digital success motion.

• Strategic Execution: Identify iterative improvements for existing programs based on product usage data and feedback from the broader Customer Success organisation.

• Stakeholder Presentation: Conclude your internship by presenting your findings, AI recommendations, and project impact to Okta leadership and key stakeholders.

Who We are Looking For:

• Education: Rising senior pursuing a Bachelor’s degree or higher (Business, Marketing, Data Science, or Communications preferred).

• Graduating Dec 2026 or Spring 2027

• Analytical Mindset: You enjoy 'connecting the dots' between raw data and customer stories, and have a high level of attention to detail.

• Technical Curiosity: A genuine interest in Identity Security and the intersection of AI and Customer Success.

• Collaboration: Proven ability to work across teams like Marketing, Product, and Operations.

• Communication: Strong copywriting skills with an eye for design consistency and brand voice.

• Bonus Points: Familiarity with Data Visualisation and Customer Success Software (e.g. Matik, Gong, Gainsight, Pendo, or Tableau).

Okta’s Intern Program

As an intern, you’ll do real work that matters. While you’re on board, you’ll work on meaningful projects and have an opportunity to see what working at Okta is all about. You’ll also have the support of your mentor and manager to help you develop new skills.

Our interns have the opportunity to build a strong community - with their fellow interns, within their teams, and with the broader company. We want you to grow professionally and you’ll do that through participating in events like our Executive Speaker Series and Brown Bags.

And of course, we want you to have fun, too. Our internship program includes exciting opportunities to connect with your cohort beyond the office through fun and classic local outings.

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Descript is revolutionising how traditional editing methodologies and AI technologies come together in every part of the creation process (recording, transcribing, editing, and sharing) to make it faster and easier than ever to create high-quality content.

What You'll Work On

Growth at Descript spans the full user journey,from initial signup to the point where customers can’t imagine working without us. This isn’t a role only focused on small tweaks; it’s about building systems that redefine how we grow.

Build the systems that makes growth possible

• Design and own the experimentation playbook , the frameworks, tooling, and best practices that let the whole team run faster, cleaner tests

• Architect personalisation and user journey systems that adapt the product experience based on who someone is and what they're trying to do

• Build the data pipelines and instrumentation that give us a real-time window into what's working

Run the experiments that move the needle

• Own A/B tests end-to-end: form the hypothesis, instrument the feature, ship it, analyse the results, make the call , repeat

• Own activation and onboarding flows , the early moments that turn a new signup into someone who gets it and stays

• Help establish the metrics culture , work with Data and Product to define what we're optimising for, and build toward it

Shape the product, not just the code

• Build full-stack across frontend and backend: snappy React UI, the APIs behind it, and everything in between

• Partner with Product and Design to define what we're building, not just how we build it

• Bring a systems thinker's perspective to the team to enhance the playbook , your judgement will carry real weight

What You Bring

Required

• 5+ years of professional software engineering experience (senior) or 8+ years (staff/lead)

• Strong command of TypeScript/JavaScript and React , you're the person others come to with hard frontend questions

• Deep familiarity with web fundamentals: HTML, CSS, REST APIs, performance optimisation

• Experience running A/B tests and product experiments , you understand what a good test looks like and what the results actually mean

• A genuine hunger to connect engineering work to business outcomes , you care about the metric, not just the merge

• Comfort with ambiguity: you can define the problem, not just solve one that's handed to you

• Strong written and verbal communication , you can explain a trade-off to an engineer and a result to a stakeholder

Why This Role, Why Now

The team exists, the product is genuinely loved, and the opportunity is wide open. This isn't a 'maintain what's working' role , it's a 'figure out what works, then scale it' role. If you want to own the full arc from idea to impact, and work on a product that creators actually use, this is it.

Benefits

• Generous healthcare package

• 401k matching programme

• Catered lunches

• Flexible vacation time

Fun fact about me: I love pineapple on pizza.

I am excited to apply for the Senior Software Engineer, Growth position at Descript. With my passion for building scalable systems and my experience in running A/B tests and product experiments, I believe I would be a great fit for this role. I am looking forward to discussing my application and how I can contribute to the growth of Descript.

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This hire will be instrumental in signalling and forecasting accurate demand, planning inventory levels, and ensuring that Anduril supports its hardware requirements via Enterprise Resource Planning (ERP) software and other associated tools. The right person for this role has demonstrated ownership and experience solving complex operational challenges with creative solutions in a fast-paced, resource-limited environment.

Your responsibilities will include managing day-to-day demand signalling, ordering, and inventory for various product lines, identifying and resolving supply issues by collaborating with Engineering, Purchasing, and Manufacturing teams, leading Sales and Operations Planning (S&OP) discussions for Supply Planning on designated product lines, working with Business Development and Growth teams to align forecasts with actual demand plans, reporting on and analysing supply and material health to inform key decisions for Engineering, Purchasing, Manufacturing, and Business Development, developing and maintaining processes within MRP systems and associated master data, and driving strategic initiatives towards best practices, including demand shaping, advanced modelling, and inventory optimisation.

To be successful in this role, you will need a Bachelor's degree in a technical field or business field, and 6+ years of experience in a supply chain or production role within a fast-paced manufacturing environment with complex mechanical and/or electrical assemblies. You will also need technical expertise, including the ability to read technical documentation and understand hardware manufacturing processes, experience with ERP systems such as Oracle, Netsuite, and CRM systems like Salesforce, and the ability to travel up to 10% of the time.

The salary range for this role is $129,000-$171,000 USD, and highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, caregiver and wellness leave, family planning and parenting support, mental health resources, professional development, commuter benefits, relocation assistance, and a retirement savings plan.

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The ideal candidate will have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users. They will also have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration.

Responsibilities:

• Design and build infrastructure that serves Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models

• Collaborate with CSP partner engineering teams to resolve operational issues, influence provider roadmaps, and stand up end-to-end serving on new cloud platforms

• Design and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions

• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity

• Contribute to capacity planning and autoscaling strategies that dynamically match supply with demand across CSP validation and production workloads

• Optimise inference cost and performance across providers,designing workload placement and routing systems that direct requests to the most cost-effective accelerator and region

• Contribute to inference features that must work consistently across all platforms

• Analyse observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

Requirements:

• Significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users

• Experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code or container orchestration

• Strong interest in inference

• Thrive in cross-functional collaboration with both internal teams and external partners

• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems

• Are highly autonomous and self-driven, taking ownership of problems end-to-end with a bias toward flexibility and high-impact work

• Pick up slack, even when it goes outside your job description

Preferred skills:

• Direct experience working with CSP partner teams to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings

• A background in building platform-agnostic tooling or abstraction layers that work across cloud providers

• Hands-on experience with capacity management, cost optimisation, or resource planning at scale across heterogeneous environments

• Strong familiarity with LLM inference optimisation, batching, caching, and serving strategies

• Experience with Machine learning infrastructure including GPUs, TPUs, Trainium, or other AI accelerators

• Background designing and building CI/CD systems that automate deployment and validation across cloud environments

• Solid understanding of multi-region deployments, geographic routing, and global traffic management

• Proficiency in Python or Rust

Salary Range: $300,000-$485,000 USD

Experience Level: Staff

Employment Type: Full-time

Workplace Type: Hybrid

Category: Engineering

Industry: Technology

Required Skills:

• High-performance, large-scale distributed systems

• Cloud computing (AWS, GCP, Azure)

• Kubernetes

• Infrastructure as Code

• Container orchestration

• Inference

• Cross-functional collaboration

• Autonomy and self-driven

• Platform-agnostic tooling

• Capacity management

• Cost optimisation

• Resource planning

• LLM inference optimisation

• Machine learning infrastructure

• CI/CD systems

• Multi-region deployments

• Geographic routing

• Global traffic management

• Python

• Rust

Preferred Skills:

• Direct experience working with CSP partner teams

• Building platform-agnostic tooling

• Hands-on experience with capacity management

• Strong familiarity with LLM inference optimisation

• Experience with Machine learning infrastructure

• Background designing and building CI/CD systems

• Solid understanding of multi-region deployments

• Proficiency in Python or Rust

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You will be responsible for driving project excellence across our QTC technology initiatives, including quote-to-order systems, billing platforms, revenue recognition systems, and collections management, ensuring alignment with business objectives and maintaining visibility into project health and outcomes. This is a critical role that will directly impact our ability to build scalable QTC infrastructure that supports Anthropic's rapid growth and mission to create safe AI.

Responsibilities:

• QTC Portfolio Management: Own end-to-end management of the Quote to Cash Systems project portfolio, including quote-to-order implementations, billing platform transformations, revenue recognition system upgrades, and collections automation projects

• Revenue Operations Excellence: Develop and implement comprehensive governance frameworks for QTC project management, including standardized processes for system integrations, process optimization, stakeholder alignment, and delivery excellence across the revenue lifecycle

• QTC Program Coordination: Establish robust reporting and monitoring mechanisms for complex QTC program execution spanning quote management systems, billing engines, ERP integrations, and downstream financial reporting systems

• Risk & Delivery Management: Proactively identify, assess, and mitigate QTC-specific program risks including delivery delays, integration challenges, stakeholder misalignment, and business continuity concerns, developing contingency plans and escalation procedures

• Cross-Functional QTC Leadership: Lead collaboration with Sales Operations, Revenue Accounting, Customer Support, Legal, and Engineering teams to ensure seamless program alignment and successful delivery across the entire QTC transformation portfolio

• QTC Change Management: Design and execute comprehensive change management strategies for QTC transformations, ensuring smooth adoption across sales teams, billing operations, and revenue accounting processes throughout the organisation

• QTC Strategic Roadmap: Partner with the Head of Finance Systems to align QTC program priorities with revenue growth strategy, enterprise sales enablement, and public company readiness requirements

You may be a good fit if you:

• Have 10+ years of experience in program management, PMO leadership, or QTC transformation roles, with strong understanding of quote to cash processes and systems

• Have extensive experience managing complex QTC technology programs including quote management, billing platforms, revenue recognition systems, and cross-system integrations

• Possess strong analytical and program management skills with deep understanding of QTC metrics, process optimisation, and stakeholder alignment across revenue operations

• Are skilled at building and maintaining relationships with QTC stakeholders including Sales Operations, Revenue teams, Customer Support, and Billing Operations at all levels of an organisation

• Have experience designing and implementing program governance frameworks in fast-paced, high-growth environments with complex revenue models and multi-system architectures

• Are proficient in program management methodologies and tools, with solid knowledge of QTC best practices and revenue operations frameworks

• Have excellent communication and presentation skills, with the ability to convey complex program information to both technical teams and business stakeholders including sales and finance leadership

• Demonstrate strong problem-solving abilities in managing QTC domain challenges and can navigate complex integrations while maintaining focus on delivery excellence and business outcomes

• Are passionate about building scalable program management processes that support rapid revenue growth and enterprise transformation initiatives

Strong candidates may have:

• Experience in QTC program leadership across multiple systems implementations (CPQ, billing platforms, revenue recognition tools)

• Background in revenue operations, sales operations, or billing operations with hands-on understanding of QTC process challenges and optimisation opportunities

• Knowledge of QTC processes including opportunity management, quote-to-order workflows, billing automation, payment processing, revenue recognition, and collections from a program oversight perspective

• Experience working in high-growth technology companies managing complex transformations with subscription models, usage-based

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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 optimisation 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.

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Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimisation. They should be comfortable working towards a multi-year vision with incremental deliverables and be customer-oriented with a focus on having an impact. A minimum of 5 years of experience working in a related system is required, with a PhD in databases or distributed systems being optional.

In return, we offer a comprehensive benefits package and a commitment to diversity and inclusion. If you're excited about the opportunity to join our team and contribute to the development of next-generation database systems, please apply.

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You will serve as a senior leader responsible for developing and evolving field marketing programmes that influence every stage of the customer journey. Partnering closely with regional sales leadership and global marketing teams, you will align Databricks' brand and demand generation motion with business objectives to accelerate growth in the UKI region.

You will define and own the integrated marketing strategy for UK & Ireland, aligning to sales priorities, regional business goals, and ROI metrics. You will lead the development of pipeline-driving campaigns, regional demand generation initiatives, and experiential programmes that strengthen customer engagement and accelerate deal velocity.

You will partner cross-functionally with sales, partner, and global marketing teams to create cohesive go-to-market plans, ensuring alignment across regional plays and corporate initiatives. You will establish scalable best practices for field marketing excellence across EMEA while tailoring strategies to the UKI market's unique dynamics.

You will oversee and optimise the regional marketing budget, ensuring effective investment and measurable business impact. You will drive continuous performance analysis through data insights, dashboards, and marketing attribution models; communicate results regularly to senior stakeholders.

You will champion innovation in event design, digital engagement, and account-based marketing to reach and convert high-value audiences. You will build, lead, and mentor a high-performing, diverse marketing team,developing talent through empowerment, feedback, and professional growth initiatives.

To be successful in this role, you will need 12+ years of experience in B2B marketing, with significant tenure in field or regional marketing leadership roles across the UKI market. You will have proven success leading marketing strategies that drive substantial pipeline and revenue growth in enterprise technology or SaaS businesses.

You will have demonstrated ability to partner effectively with senior sales leadership and global marketing stakeholders to create shared goals and strategies. You will have a track record of managing large-scale budgets and measuring marketing ROI through advanced data analytics.

You will have expertise in designing scalable regional programmes, integrating offline and digital experiences, and implementing ABM strategies. You will be a strategic thinker with strong operational execution skills and experience leading teams through transformation and growth.

You will have excellent communication, stakeholder management, and inspirational leadership capabilities. You will be proficient with Salesforce (SFDC), Marketo, and data/analytics tools for campaign measurement and optimisation.

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Key responsibilities include:

• Leading a talented engineering team in Spark Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform
• Overseeing sustained recruitment of top-tier talent, and upskilling talent on the team
• Implementing robust processes to efficiently execute product vision, strategy, and roadmap in alignment with organisational goals and priorities
• Build software that is not just high quality but easy to operate
• Make company wide impact by driving Stream Processing adoption across the Databricks product portfolio
• Manage technical debt, including long term technical architecture decisions and balance product roadmap

What we look for:

• 5+ years experience working in a related system, streaming, query processing, query optimisation, including big-data ecosystem, Apache Spark or database internal
• A passion for database systems, storage systems, distributed systems, language design, or performance optimisation
• Can ensure the team builds high quality and reliable infrastructure services. Experience being responsible for testing, quality, and SLAs of a product
• Previous experience building and leading teams in a complex technical domain, such as on distributed data systems or database internals
• Ability to attract, hire, and coach engineers who meet the Databricks hiring standards. Can up level existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of the team and guide their careers
• Comfortable working cross functionally with product management and directly with customers; ability to deeply understand product and customer personas

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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The main responsibilities include:

• Lead an engineering team building the next-generation ETL features for the Databricks Lakeflow platform.
• Oversee sustained recruitment of top-tier talent, and upskilling talent on the team.
• Build processes to implement product vision and strategy, according to organisational goals and priorities.
• Build software that is not just high quality but easy to operate.
• Manage technical debt, including long-term technical architecture decisions and balance product roadmap.

What we look for:

• Minimum 3 years of experience in managing top-tier engineering teams.
• 5+ years experience building data infrastructure systems such as Apache Spark or database internals.
• A passion for database systems, storage systems, distributed systems, or performance optimisation.
• Experience working with product management, and directly with customers; ability to understand customer needs.
• Can ensure the team builds high quality and reliable infrastructure services.
• Experience being responsible for testing, quality, and Service Level Agreements of a product.
• Experience building and managing teams in a complex technical domain, such as on distributed data systems or database internals.
• Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards.
• Experience up-leveling teams via hiring top-notch talent and growing existing team members.

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Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.

Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your 'Whatever It Takes' mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.

This role offers the opportunity to make a significant impact on next-generation defence technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

Key Responsibilities:

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms

• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius

• Optimise performance of existing products, primarily focused on our Altius Drone product line

• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs

• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field

• Contribute to the design and implementation of multi-agent coordination systems for UAVs

• Participate in the full software development lifecycle, from concept and design through testing and deployment

• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

Required Qualifications:

• Bachelor's degree in Robotics, Computer Science, or related field

• 3+ years of professional software development experience

• Strong proficiency in C++ or Rust, with experience in Linux development environments

• Demonstrated expertise in data structures, algorithms, concurrency, and code optimisation

• Proven experience troubleshooting and analysing remotely deployed software systems

• Hands-on experience working with and testing electrical and mechanical systems

• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing

• Strong problem-solving skills and a 'Whatever It Takes' mindset

• Excellent communication skills, both written and verbal

• Eligible to obtain and maintain an active U.S. Secret security clearance

• Willingness to relocate to Atlanta, GA

Preferred Qualifications:

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)

• Expertise in one or more advanced robotics areas: motion planning, perception, localisation, mapping, or controls

• Experience with performance optimisation and metrics for complex robotic systems

• Proficiency in Python, Rust, and/or Go, in addition to C++

• Hands-on experience programming for embedded systems and physical devices

• Background in multi-agent coordination, particularly with UAVs

• Demonstrated ability to solve complex frame transformation problems (e.g., target localisation, multi-degree-of-freedom robotic arms)

• Experience with real-time operating systems and distributed computing

• Familiarity with machine learning and AI applications in robotics

• Knowledge of sensor fusion techniques and implementation

• Understanding of aerodynamics and flight dynamics as applied to UAV systems

• Experience with simulation environments for robotics testing and development

• Track record of contributions to open-source robotics projects or relevant publications

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To be successful in this role, you'll need a PhD in databases or systems, a passion for database systems, storage systems, distributed systems, language design, and/or performance optimisation, and be motivated by delivering customer value and impact.

The pay range for this role is $140,000-$180,000 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Workforce Identity Cloud

Okta Workforce Identity Cloud (WIC) provides easy, secure access for your workforce so you can focus on other strategic priorities,like reducing costs, and doing more for your customers.

If you like to be challenged and have a passion for solving large-scale automation, testing, and tuning problems, we would love to hear from you. The ideal candidate is someone who exemplifies the ethics of, “If you have to do something more than once, automate it” and who can rapidly self-educate on new concepts and tools.

Position Overview:

The Site Reliability Engineer (SRE) will play a key role in building and managing Kubernetes platforms that support cloud-native applications and services. This position focuses on architecting and managing reliable, scalable, and secure Kubernetes-based platforms on AWS, ensuring high availability and performance while optimising costs and automation. The ideal candidate will have hands-on experience with AWS infrastructure, Kubernetes platform creation, Helm charts, Karpenter scaling, and Istio service mesh.

Key Responsibilities:

• Kubernetes Platform Creation: Design, implement, and maintain highly available, scalable, and fault-tolerant Kubernetes platforms. Ensure clusters are optimised for production workloads, providing high resilience and operational efficiency.

• AWS Infrastructure Management: Build, manage, and optimise AWS cloud infrastructure, including EKS, ECS, S3, VPCs, RDS, IAM, and more. Implement best practices for cost management, scaling, and security within AWS.

• Helm Management: Utilise Helm to automate and streamline the deployment of applications and services to Kubernetes clusters. Create, maintain, and manage Helm charts for production-ready deployments.

• Karpenter Implementation: Implement and manage Karpenter to dynamically scale Kubernetes clusters in response to workload demands.

• Istio Service Mesh Management: Configure and manage Istio to provide service-to-service communication, security, and observability within the Kubernetes clusters. Enable fine-grained traffic management, service discovery, and policy enforcement.

• Platform Automation & Scaling: Automate the deployment, scaling, and management of infrastructure and applications. Work with CI/CD pipelines to ensure a seamless flow from development to production with minimal downtime.

• Incident Management & Troubleshooting: Respond to incidents, troubleshoot, and resolve system issues related to performance, availability, and security in a timely and effective manner.

• Security & Compliance: Design and implement secure cloud infrastructure with appropriate access controls, network security, and compliance frameworks.

• Documentation & Knowledge Sharing: Create and maintain detailed documentation for Kubernetes platform setup, operational procedures, and best practices. Promote knowledge sharing across teams.

Required Qualifications:

• 4+ years of experience with Kubernetes/Helm;

• 4+ years of Experience with Terraform.

• 5+ years of Experience with AWS

• Experience with multi-region cloud environments.

• Proven experience with AWS (EC2, RDS, S3, CloudFormation, IAM, etc.) and solid understanding of cloud-native architectures.

• Strong expertise in Kubernetes platform creation, management, and optimisation (e.g., setting up highly available clusters, networking, and storage).

• Hands-on experience with Helm for Kubernetes application deployment and management.

• Practical experience with Karpenter for dynamic scaling of Kubernetes clusters and optimising resource usage.

• Expertise in managing and securing Istio for service mesh, including traffic management, security, and observability features.

• Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitLab, CircleCI, Terraform, Ansible, Spinnaker).

• Strong scripting and automation skills in Python, Bash, or Go for infrastructure management and platform automation.

• Experience with monitoring, logging, and alerting tools such as Prometheus, Grafana, CloudWatch, and ELK Stack.

Preferred Qualifications:

• Understanding of security best practices for cloud platforms and Kubernetes (e.g., role-based access control (RBAC), encryption, and compliance frameworks).

• Familiarity with Docker and containerization principles.

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent professional experience).

• Certifications (Preferred): CKA (Certified Kubernetes Administrator), CKAD (Certified Kubernetes Application Developer), or AWS Certified DevOps Engineer are highly desirable.

Additional requirements:

• This position requires the ability to access federal environments and/or have access to protected federal data. As a condition of employment for this position, the successful candidate must be able to submit documentation establishing U.S. Person status (e.g. a U.S. Citizen, National, Lawful Permanent Resident, Refugee, or Asylee. 22 CFR 120.15) upon hire.

• Requires in-person onboarding and travel to our San Francisco, CA HQ office or our Chicago office during the first week of employment.

#LI-Hybrid

#LI-LSS1

requisition ID- (P16373_3396241)

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000-$267,000 USD

Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$174,000-$214,000 USD

The Okta Experience

• Supporting Your Well-Being

• Driving Social Impact

• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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You will be responsible for shaping customer-facing capabilities while designing for scalability, extensibility, and performance of GPU training and adjacent areas. This will involve collaborating closely across the platform, product, infrastructure, and research organisations.

Key responsibilities include:

• Leading, mentoring, and growing a high-performing engineering team responsible for the Custom Training product and its foundational infrastructure
• Defining and owning the product and technical roadmap for AIR, balancing customer experience, functionality, and foundational investments
• Collaborating closely with product, research, platform, infrastructure teams, and customers to drive end-to-end delivery
• Driving architectural decisions and product design for managed GPU training at scale
• Advocating for customer needs through direct engagement, ensuring engineering decisions translate to clear product impact

We are looking for someone with 8+ years of software engineering experience, with 3+ years in engineering management. You should have a track record of building and operating managed GPU training infrastructure at scale, as well as deep familiarity with distributed training frameworks and parallelism strategies.

In addition, you should have experience with training resilience patterns, such as checkpointing, elastic training, and automated failure recovery for long-running jobs. You should also have a strong understanding of GPU performance fundamentals, including NCCL, interconnect topologies, and memory optimisation.

Experience building platform products with clear SLAs is also essential, as is strong cross-functional leadership across platform, product, and research teams. Excellent collaboration and communication skills are also required.

The pay range for this role is $228,600-$314,250 USD per year, depending on location. The total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

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From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible.

This is a high-impact problem as our customers look at us to deliver the most out of their data.

Key responsibilities include:

• Building features and running end-to-end systems in a small team of experienced engineers and data scientists.
• Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.
• Driving the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
• Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
• Working on novel modeling techniques in the field of ML for forecasting.

What we look for:

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Experience developing AI/ML systems at scale in production.
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse (CIDR 2021 paper), open platforms that unify data warehousing and advanced analytics.

A critical part of realizing this vision is the next generation (decoupled) query engine and structured storage system that can outperform specialised data warehouses in relational query performance, yet retain the expressiveness and of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science.

As part of this team, you will be working in one or more of the following areas to design and implement these next gen systems that leapfrog state-of-the-art:

• Query compilation and optimisation
• Distributed query execution and scheduling
• Vectorised execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimisation

We look for:

• A passion for database systems, storage systems, distributed systems, language design, or performance optimisation
• Experience working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 8+ years of experience working in a related system (preferred)

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.

Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, Databricks anticipates utilising the full width of the range.

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

For more information regarding which range your location is in visit our page here.

Local Pay Range $192,000-$260,000 USD

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Key responsibilities include:

• Delivering highly successful campaigns that outperform KPIs, to budget and on-time
• Effectively tracking and optimising campaigns
• Developing and implementing guidelines and processes
• Contributing to developing the programmatic best-practice roadmap
• Acting as a point of escalation for client teams
• Leading and mentoring others across the practice

We're looking for someone with strong programmatic delivery knowledge and 4+ years of experience, with demonstrable success in optimising programmatic campaigns and work through automation, processes and technology adoption/development. You'll be a confident, dynamic, engaging and authentic communicator who cares about the quality of work and continuous learning.

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Strong customer advocacy, relationship building, and communications skills are essential for this role. You will need to be able to easily pivot from delivery to strategic engagements with customers. You will work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic.

Responsibilities:

• Strong customer advocacy, relationship building, and communications skills
• Ability to easily pivot from delivery to strategic engagements with customers
• Work with the wider Elastic organisation to support the customer's goals, their strategic requirements, and their journey with Elastic
• Ownership of the strategic roadmap with the customer including quarterly strategic sessions with senior and key stakeholders
• Solution design, development, and integration of Elastic products and APIs, platform architecture, and capacity planning in mission-critical environments
• Comfortable working remotely in a highly distributed team
• Development of demos and proof-of-concepts that highlight the value of the Elastic Stack
• Data modelling, query development and optimisation, cluster tuning and scaling with a focus on fast search and analytics at scale
• Solving our customers' most challenging data problems
• Working closely with the Elastic engineering, product management, and support teams to identify feature enhancements, extensions
• Engaging with the Elastic Sales team to scope opportunities while assessing technical risks, questions, or concerns

Requirements:

• Hands-on experience and an understanding of Elasticsearch and/or Lucene
• Minimum of 2 years' experience as a Software Engineer, System Administrator, or DevOps Engineer
• Minimum of 5 years' experience working as a Consultant, working to deliver and execute on professional services engagements
• Currently holding current UK security clearance, or has previously held security clearance, or is willing to undergo security clearance
• Experience as a technical instructor or public speaker to large audiences on enterprise infrastructure software technology to engineers, developers, and other technical positions
• Excel at working directly with customers to gather, prioritise, plan and execute solutions to customer business requirements as it relates to our technologies
• Understanding and passion for open-source technology and knowledge and proficient in at least one programming language
• Hands-on experience with large distributed systems from an architecture and development perspective
• Knowledge of information retrieval and/or analytics domain
• The nature of the work that you will be doing will require a high percentage of work onsite with customers, and you should be expected to travel as a result of this requirement
• Understanding of Linux, Java, and databases

Bonus Points:

• Deep understanding of Elasticsearch and Lucene, including Elastic Certified Engineer certification
• BS, MS, or PhD in Computer Science or related engineering discipline
• Strong knowledge of Java and Linux/Unix environment, software development, and/or experience with distributed systems
• Experience and interest in delivering and/or developing product training
• Experience contributing to an open-source project or documentation

As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with minimum of 16 weeks of parental leave

Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

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Our mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence.

As a Member of Technical Staff - Inference, you will be responsible for optimising the latency and throughput of model inference, building reliable and performant production serving systems to serve billions of users, accelerating research on scaling test-time compute and rollout in reinforcement learning training, and model-hardware co-design for next-generation architectures.

To be successful in this role, you will need to have worked on system optimisations for model serving, such as batching, caching, load balancing, and parallelism, worked on low-level optimisations for inference, such as GPU kernels and code generation, worked on algorithmic optimisations for inference, such as quantisation, distillation, and speculative decoding, and low-precision numerics, worked on large-scale inference engines or reinforcement learning frameworks, worked on large-scale, high-concurrent production serving, and worked on testing, benchmarking, and reliability of inference services.

The base salary for this role is $180,000 - $440,000 USD, and we offer a comprehensive total rewards package, including equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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We're looking for someone with a strong academic background and a keen passion for learning. You should be passionate about growing your career in marketing and developing skills in strategy, innovation, and client leadership. Good data analysis skills and strong attention to detail are also essential.

In this role, you will have the opportunity to work with our team to deliver campaigns that drive results and grow our clients' businesses. You will also have access to training and development opportunities to help you grow your skills and advance your career.

If you're looking for a challenging and rewarding role in digital marketing, we encourage you to apply.

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You will help to define the campaign delivery plan, including objectives and ways in which work can be successful or optimised further. You will also generate and promote innovative new concepts to clients applying our test and learn approach and share successes across the practice by identifying and improving guidelines, playbooks and processes including opportunities to automate work.

Using your practice knowledge, you will be responsible for delivering highly successful, brilliant campaigns that outperform KPIs, to budget and on-time. You'll start to define campaign delivery plans and measurement targets. You'll effectively track and optimise campaigns. You'll be a point of contact for our clients on day-to-day tasks and deliverables.

You'll develop and implement, as well as follow guidelines and processes contributing to ideas around automation or process improvement. You'll actively contribute to developing best-practice roadmaps so that our programmatic offering is continually developing. You'll mentor others across the practice helping to grow capability and knowledge.

Strong programmatic delivery track record with 2+ years of experience. Passionate about your craft. Demonstrable success in optimising programmatic campaigns and work through automation, processes and technology adoption/development. A good understanding about how other channels work and optimise together.

A confident, dynamic, engaging and authentic communicator who cares about the quality of work and continuous learning. Passionate about growing the knowledge of those around you. Excellent presentation skills and strong data analysis and reporting skills. Strong attention to detail, methodical and process-oriented.

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Key responsibilities include:

• Owning the design and evolution of the build, test, and release systems that power the platform.
• Defining architecture for a Bazel-based monorepo, including performance, caching, and dependency graph scalability.
• Improving build performance and correctness, including incremental builds, caching strategies, and graph optimisation.
• Designing and operating test infrastructure, focusing on reliability, isolation, and signal quality.
• Building and improving release and rollout systems, including deployment pipelines, canarying, and rollback.
• Improving end-to-end developer velocity, from local iteration to production deployment.
• Debugging and resolving complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
• Establishing standards for reproducibility, observability, and operability across build and release systems.
• Identifying and eliminating systemic failure modes across the development lifecycle.

Requirements include:

• 10 or more years of experience building and operating production systems at scale, with ownership of critical infrastructure.
• Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
• Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
• Strong systems understanding of how code moves from source to build to test to production.
• Hands-on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
• Experience owning systems with strict reliability and performance requirements.
• Strong proficiency in at least one of Python, Go, or Rust, and comfort working across languages in a polyglot codebase.
• Proven ability to define architecture and drive technical decisions end-to-end.
• Strong judgment in balancing developer velocity, system complexity, and reliability.
• Ability to operate effectively in ambiguous, fast-moving environments with high ownership.

Preferred qualifications include deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimisation, as well as experience designing hermetic and reproducible build systems.

At World Labs, we're looking for fearless innovators who thrive on challenges and aren't afraid to tackle the impossible. We're resilient builders who can weather the storms of groundbreaking research and come out stronger. We're mission-driven, collaborative, and passionate about creating the best spatially intelligent AI systems, and using them to empower people.

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This role is ideal for an engineer eager to take ownership of complex subsystems, collaborate across disciplines, and grow into a technical leader working at the intersection of autonomy, flight science, and fluid systems.

Responsibilities:

• Design and develop fuel storage, transfer, and venting systems to support high-performance, long-endurance UAVs.
• Perform fluid and thermal analysis to optimise flow efficiency, pressure regulation, and system mass.
• Support integration of fuel systems with propulsion, avionics, and thermal management teams.
• Conduct CFD simulations, bench-level testing, and validation of pumps, valves, sensors, and tanks.
• Generate design documentation, system schematics, and verification plans to support engineering reviews and flight test readiness.
• Assist in supplier coordination, component selection, and qualification testing.
• Troubleshoot fuel system issues during prototype builds and flight test campaigns.
• Contribute to the development of system architecture and help mature design standards across new programs.

Qualifications:

• B.S. or M.S. in Aerospace, Mechanical, or related engineering discipline.
• 4–7 years of experience in fuel or fluid systems design, analysis, or integration.
• Working knowledge of CFD and thermal/fluid simulation tools (ANSYS Fluent, OpenFOAM, MATLAB/Simulink).
• Experience with pumps, valves, and sensors for fuel or hydraulic systems.
• Familiarity with aerospace environmental and certification standards (e.g., DO-160, MIL-STD-810).
• Excellent communication and collaboration skills in fast-paced, cross-functional environments.
• U.S. Citizenship required.

Preferred Qualifications:

• Experience supporting UAV, fighter, or propulsion system integration.
• Hands-on experience with prototype build, test, and troubleshooting.
• Familiarity with CATIA, NX, or SolidWorks for CAD design and modeling.
• Exposure to mission endurance optimisation and energy management strategies.

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In collaboration with an interdisciplinary group of engineers in theory, hardware, and chip design, you will advance the speed and fidelity of readout and reset in Rigetti Computing's quantum computing systems to fulfil its ambitious roadmap toward fault tolerance.

Key responsibilities include leading superconducting qubit measurements to characterise dispersive readout of quantum circuits, developing novel measurement techniques and pulse optimisations for readout speed or fidelity, and collaborating with theory and simulation teams to build or validate models that describe readout performance.

You will also specify improvements to the quantum chip layout, signal lines, and electronics, work with the hardware and device design teams to build them, and develop protocols to accelerate circuit execution and enable error-correcting codes, including reset, mid-circuit measurement, and ancilla readout.

A Ph.D. in Physics, Applied Physics, Electrical Engineering or a related field, plus 2+ years of industry and/or postdoctoral experience, is required. Deep expertise in circuit quantum electrodynamics and dispersive readout in particular is essential, as is demonstrated ability to perform measurements on quantum systems and explain the results through theory and/or simulation.

Experience with software development in an industry setting, in languages such as Python, C, C++, Rust, etc., is also necessary, as is experience with low-level pulse optimisation of quantum gates or readout. Ability to excel in a collaborative environment and excellent communication skills are also required.

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In this role, you'll apply strong analytical judgment and product intuition to help us understand customer behaviour, evaluate trade-offs, and make smart investment decisions across the cards and lending lifecycles , from eligibility and activation to spend, retention, incentives, and credit performance. You'll help build a data-informed culture across Mercury so teams can move quickly, measure what matters, and invest intelligently.

Key responsibilities include:

• Bringing impeccable communication and complete ownership , independently identifying opportunities, developing strong points of view, and influencing executives, Cards & Credit leaders, and cross-functional partners through clear, concise, and persuasive storytelling.
• Developing a nuanced understanding of cardholder behaviour and economics, helping teams reason about trade-offs between growth, engagement, risk, and unit economics.
• Defining, owning, and analysing metrics that inform both tactical decisions and long-term strategy across the cards and credit lifecycle (e.g., eligibility, activation, spend, utilisation, rewards, retention, loss signals).
• Designing and evaluating experiments using rigorous statistical approaches, including A/B testing, cohort analysis, causal inference techniques, and trend analysis.
• Building and improving data pipelines and tools to streamline data collection, processing, and analysis workflows, ensuring the integrity, reliability, and security of data assets.
• Building and deploying predictive models to forecast key outcomes, inform product treatments, and deepen understanding of causal drivers.

Requirements include:

• 7+ years of experience working with large datasets to drive product or business impact in data science or analytics roles.
• Fluency in SQL and comfort with Python.
• Strong judgment in defining and analysing product metrics, running experiments, and translating ambiguous questions into structured analyses.
• Exceptional proactivity and independence , identifying opportunities, forming strong points of view, and making your case to stakeholders.
• Experience with ETL processes and modern data modelling (e.g., dbt, dimensional models, Airflow), with a solid understanding of how data is produced and consumed.
• Experience in analytical approaches ranging from behavioural modelling to experimentation to optimisation , and, importantly, know when simpler approaches are the right answer.
• Apply AI tools to accelerate analytical and business workflows, improving scalability, decision quality, and reducing manual or repetitive work across teams.

Nice to have:

• Experience working on cards or credit products, with familiarity in card economics and lifecycle concepts (e.g., spend behaviour, interchange, rewards and incentives, utilisation, credit limits, retention).
• Experience developing quantitative pricing models or engines (e.g., dynamic pricing, incentive optimisation, or marketplace pricing systems).
• Experience applying optimisation techniques to resource allocation or decision systems (e.g., customer operations, capacity planning, or policy optimisation).
• Experience building or supporting credit models, including probability of default modelling, cashflow modelling, or dynamic credit limit setting.

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About Hebbia

Hebbia is an AI platform that generates alpha and drives upside for investors and bankers. Founded in 2020, it powers investment decisions for major asset managers.

As an AI Strategist at Hebbia, you will drive the strategic deployment and measurable value creation of Hebbia's platform across top global financial institutions, shaping how AI transforms the enterprise.

Responsibilities

• Apply cutting-edge AI: Develop expertise with leading LLMs (Opus 4.6, GPT-5.2, Gemini 3, etc.), become a SME in Hebbia's product and features, and apply to complex professional settings and workflows
• Build domain expertise: Develop an intimate understanding of the complex banking, financial and legal workflows of our users (e.g., credit agreements, lease documents, etc.)
• Become a core advisor: Deeply understand our customer stakeholders, drive value and growth as a trusted AI advisor
• Drive value-backed growth: Identify and capture value with customers, serving as a key driver of our land-and-expand commercial strategy
• Optimise processes for scale: Define and constantly enhance internal processes and workflows to shape the post-sales team and improve our customer experience
• Own in ambiguity: Operate with autonomy and clarity in fast-moving, unstructured environments - quickly distill complex problems, learn on the fly, and drive toward actionable solutions across customer and product needs

Requirements

• Bachelor's degree, preferably in Finance, Economics, Computer Engineering, or Pre-Law
• 1-5 years of client-facing experience in top-tier investment banking, institutional investing, corporate law, corporate finance, or consulting roles; relevant internship experience can be considered for recent grads
• Strong ownership mindset with a demonstrated track record of outperformance, value creation, and expanded responsibilities
• Experience and comfort with leading LLM models and tools; we want to hear about what you've built/tested/researched

Bonus Qualifications

• 5-10 years of client-facing experience with an emphasis on relationship-building
• Strong commercial acumen and experience driving revenue expansion, particularly deploying AI/SaaS into enterprise organisations
• Technical startup and/or founder experience, building systems and processes for scale
• LLM technical knowledge and practical experience implementing into professional workflows

Compensation

The combined base + bonus compensation range (OTE) for this role is $90,000 - $160,000 + competitive equity. The OTE range for those who meet Bonus qualifications is $160,000 - $225,000.

Benefits

• PTO: Unlimited
• Insurance: Medical + Dental + Vision + 401K + Wellness Benefits
• Eats: Catered lunch daily + doordash dinner credit
• Parental leave policy: 3 months non-birthing parent, 4 months for birthing parent
• Fertility benefits: $15k lifetime benefit
• New hire equity grant: Competitive equity package with unmatched upside potential

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Key responsibilities include:

• Architect and develop pipelines to ingest and analyse data from network devices and other sources.
• Enhance scalability and performance by optimising computational processes and implementing solutions that scale with growing data and user demands.
• Innovate on product features by developing new features leveraging our network model to provide actionable insights.
• Collaborate with product teams to translate user needs into technical solutions.
• Technical leadership involves mentoring and guiding junior engineers, fostering a culture of excellence.
• Cross-functional collaboration is essential to ensure cohesive integration of services.

Requirements include:

• A Bachelor's degree in Computer Science or a related field, with a Master's or Ph.D. preferred.
• 8+ years of full lifecycle software development experience.
• Proven experience in backend development using Java, C++, or similar languages.
• Strong background in object-oriented design and development.

Technical skills include proficiency with databases, algorithms, and design for performance and scalability, as well as in-depth knowledge of software architecture, design patterns, and best practices.

Soft skills include excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a fast-paced environment.

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Daylight is the decentralised energy company. We're building a protocol that converts distributed solar and storage systems into yield-bearing infrastructure. These assets are deployed behind the meter in American homes and businesses, generating electricity revenues that flow onchain as a single, liquid yield token.

Our team brings together energy and crypto veterans who believe in a future where communities power themselves. Backed by a16z, Framework, and other industry-leading investors, we're building the infrastructure to make that vision a reality.

The Role

As a Senior Software Engineer | Blockchain at Daylight, you'll play a crucial role in developing our Django APIs and backend services that support our mobile app and partner integrations as well as designing the interactions with our smart contracts onchain. You'll build functionality that helps homeowners monitor, control, and optimise their energy usage while participating in our decentralised energy network.

We're an early-stage startup, so this role goes beyond just writing code. You'll have significant input on architecture decisions, user experience, and product direction. As we scale, there will be opportunities to grow into a leadership or management position, mentoring junior developers and shaping our backend development strategy and onchain integrations.

This role is ideal for someone who is passionate about crypto and clean energy, values craftsmanship in their code, and thrives in dynamic startup environments where your work has a direct impact on the product's success and the company's mission.

Responsibilities

• Develop and maintain scalable API endpoints that support vendor/partner integrations

• Collaborate with cross-functional teams to define, design, and ship innovative features

• Continuously monitor performance and resolve bottlenecks and bugs across all endpoints

• Champion code quality, automation, and comprehensive testing practices

• Design and implement Solidity smart contracts that underpin Daylight's decentralised energy markets

• Develop Daylight's decentralised data storage and validation layer using modern frameworks (e.g. Commonware, Snapchain L3)

• Architect secure oracle flows to feed real-world energy data onchain

• Contribute to architecture planning and drive technical design decisions that ensure scalability and security

• Optimise the application stack for maximum speed and reliability

• Embrace CI/CD methodologies and infrastructure-as-code practices to streamline deployments

What we're looking for

• 5+ years of experience developing APIs and backend services
• 2+ years of experience writing Solidity smart contracts
• Strong understanding of API Development and best practices
• Experience with Python, Django, PostgreSQL and Redis
• Proficiency in writing clean, readable, and well-documented code
• Experience with REST APIs, GraphQL, and network request handling
• Familiarity with version control systems, particularly Git
• Knowledge of backend performance profiling and optimisation techniques
• Experience with testing and managing AWS infrastructure and Kubernetes
• Familiarity with crypto and related infrastructure, specifically EVM
• Ability to work in a fast-paced environment with changing requirements
• Strong problem-solving skills and attention to detail
• Familiarity with DeFi protocols, especially stablecoins, lending markets, liquid staking, or yield optimisation systems
• Experience integrating offchain data via oracles

What we offer

• Competitive salary and equity package
• Opportunity to shape a category-defining product from the ground up
• Comprehensive health, dental, and vision insurance
• Wellhub membership
• Monthly wellness stipend

Daylight values diversity and welcomes applications from all qualified candidates. We're building technology that serves everyone, and we believe diverse perspectives make our team and our product stronger.

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We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content.

You Are:

You are a passionate and driven Physical Design Engineer with a strong foundation in RTL2GDSII flows and a proven ability to independently own and deliver complex designs. With at least 5 years of hands-on experience in advanced technology nodes such as 7nm, 5nm, or even 3nm, you thrive in fast-paced, innovative environments and are eager to tackle new technical challenges. Your expertise spans the entire physical design spectrum,from synthesis, place & route, and clock tree synthesis (CTS) to timing optimization, static timing analysis (STA), timing closure, EMIR, and physical verification. You have experience in both block-level and full-chip floor-planning, and you’re adept at navigating timing constraints and closing timing on aggressive schedules. Your toolset includes industry-leading Synopsys solutions like Design Compiler, IC Compiler II, and PrimeTime, allowing you to deliver optimal results for high-frequency, low-power designs.

Beyond your technical skills, you are a collaborative team player who communicates effectively across global teams, valuing diversity of thought and experience. You are motivated by problem-solving, have a keen analytical mindset, and are always seeking opportunities to automate and optimize workflows using Python, PERL, TCL, or other scripting languages. You take ownership of your work and pride yourself on delivering high-quality, robust solutions that drive organisational success. If you are excited about contributing to leading-edge silicon design and want to make a tangible impact, Synopsys is the place for you.

What You’ll Be Doing:

• Independently own and drive full RTL2GDSII physical design implementation for advanced process nodes (7nm/5nm/3nm), ensuring successful tape-outs.
• Execute synthesis, place & route, clock tree synthesis (CTS), timing optimisation, and static timing analysis (STA) to meet stringent performance and power targets.
• Perform block-level and full-chip floor-planning, physical verification, EMIR analysis, and timing closure activities.
• Collaborate with cross-functional teams across geographies to resolve complex design challenges and ensure design quality and schedule adherence.
• Utilise and optimise Synopsys EDA tools, including Design Compiler, IC Compiler II, and PrimeTime, to deliver state-of-the-art silicon solutions.
• Develop and maintain automation scripts in Python, PERL, TCL, or other relevant languages to streamline design flows and improve efficiency.
• Contribute to the continuous improvement of design methodologies and best practices, sharing insights and mentoring junior engineers as needed.

The Impact You Will Have:

• Accelerate the delivery of high-performance, low-power silicon solutions that power next-generation technology platforms worldwide.
• Enable Synopsys customers to achieve first-pass silicon success through robust and innovative physical design implementations.
• Drive technical excellence and best practices within the team, influencing the future direction of physical design methodologies at Synopsys.
• Foster a collaborative and inclusive culture by working seamlessly with global teams and sharing technical expertise.
• Contribute to Synopsys’ leadership in EDA tools adoption, providing valuable feedback to enhance product offerings and customer satisfaction.
• Support strategic customer engagements and help expand Synopsys' presence in the semiconductor ecosystem through successful project outcomes.

What You’ll Need:

• Bachelor’s or Master’s degree (BE/BTech/MTech or equivalent) in Electronics, Electrical Engineering, or a related field.
• 5+ years of relevant experience in physical design, particularly in advanced technology nodes (7nm/5nm/3nm).
• Comprehensive hands-on experience with RTL2GDSII flows, including synthesis, place & route, CTS, timing optimisation, STA, EMIR, and physical verification.
• Proficiency with Synopsys EDA tools such as Design Compiler, IC Compiler II, and PrimeTime.
• Strong scripting and automation skills using Python, PERL, TCL, or similar languages.
• Solid understanding of timing constraints, timing closure, and floor-planning techniques for both block-level and full-chip designs.
• Exposure to high-frequency design and low-power design methodologies.

Who You Are:

• Proactive, self-motivated, and driven to achieve technical excellence.
• Exceptional problem-solving and analytical skills with a keen attention to detail.
• Excellent communication and interpersonal abilities, comfortable working in diverse and global teams.
• Collaborative team player who values knowledge sharing and mentoring others.
• Adaptable and open to learning new technologies and methodologies in a rapidly evolving field.

The Team You’ll Be A Part Of:

You’ll join a world-class team of physical design engineers at Synopsys, dedicated to delivering innovative system design solutions for our global customers. Our team thrives on collaboration, technical excellence, and a shared passion for pushing the boundaries of semiconductor design. Working closely with experts across multiple domains, you will play a key role in empowering customers to achieve their silicon goals while contributing to Synopsys’ leadership in the industry.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, colour, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Benefits:

At Synopsys, innovation is driven by our incredible team around the world. We feel honoured to work alongside such talented and passionate individuals who choose to make a difference here every day. We’re proud to provide the comprehensive benefits and rewards that our team truly deserves.

Visit Benefits Page

• Health & Wellness

Comprehensive medical and healthcare plans that work for you and your family.

• Time Away

In addition to company holidays, we have ETO and FTO Programs.

• Family Support

Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more.

• ESPP

Purchase Synopsys common stock at a 15% discount, with a 24-month look-back.

• Retirement Plans

Save for your future with our retirement plans that vary by region and country.

• Compensation

Competitive salaries.

** Benefits vary by country and region - check with your recruiter to confirm

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Your strong foundation in data structures, parallel algorithms, and high-performance computing allows you to approach technical problems with both creativity and precision.

You thrive in collaborative R&D environments, valuing clean, scalable software architecture and rigorous technical standards.

As an emerging leader, you consistently inspire those around you, fostering a culture of innovation and excellence.

You are motivated by the opportunity to make a tangible impact, both on Synopsys' products and on the global engineering community.

Designing and implementing high-performance software components that drive the accuracy, scalability, and reliability of mesh generation software platforms.

Developing and optimising parallel and distributed algorithms to support advanced engineering workflows across large-scale structural, fluids, and electromagnetic simulations.

Collaborating closely with QA, product management, and hardware engineering teams to deliver robust, high-quality simulation capabilities.

Participating in code reviews, mentoring team members, and upholding rigorous standards for software architecture, maintainability, and performance.

Investigating and resolving complex technical issues reported by QA or customers to ensure stability, reliability, and customer success in production environments.

Contributing to the continuous improvement of development processes, tools, and best practices.

Advance the development of cutting-edge mesh generation software enabling next-generation engineering solutions across diverse physics domains.

Enhance product performance, scalability, and robustness by implementing efficient parallel and distributed algorithms.

Establish and promote best practices in software design, development, testing, and maintainability across the R&D team.

Support Synopsys' industry leadership in high-performance simulation technology and engineering software innovation.

Deliver high-quality, high-reliability solutions that drive meaningful impact across the global technology ecosystem.

Mentor and uplift team members, contributing to a culture of technical excellence and inclusive collaboration.

BS degree with 5+ years of relevant experience, MS degree with 3+ years of experience, or a PhD in Computer Science, Engineering, or a related field (or equivalent practical experience).

Strong proficiency in C++ and Python, with proven experience in data structures and parallel algorithms.

Deep understanding of software design principles.

Hands-on experience with version control systems (such as Git), working within Windows and Linux environments, debugging, and performance optimisation.

Professional experience in mesh generation, computational geometry, CAD, or related fields.

Exposure to CAD/CAE tools, semiconductor technology, or electronics design will be a plus.

Exhibits strong communication and leadership capabilities, indicating readiness to take on team leadership responsibilities soon.

A collaborative leader and mentor who inspires others to achieve their best.

An excellent communicator able to articulate complex technical concepts to diverse audiences.

Innovative, results-driven, and adaptable to fast-changing environments.

Proactive problem solver with a passion for continuous improvement.

Committed to fostering an inclusive and supportive team culture.

Join our globally distributed Synopsys meshing development team, where you will collaborate with talented engineers advancing the state-of-the-art in mesh generation, high-performance computing, and distributed simulation workflows.

Together, we are shaping the future of engineering through scalable, high-fidelity multi-physics simulation technologies.

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs.

Our total rewards include both monetary and non-monetary offerings.

Your recruiter will provide more details about the salary range and benefits during the hiring process.

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Key responsibilities for this role include:

• Driving research on post-training techniques (e.g., RL, SFT, and preference optimisation) specifically tailored for personalisation scenarios.
• Developing novel evaluation frameworks and simulation methods to measure model quality against user behaviours / feedback.
• Designing and training agents capable of orchestrating tools and APIs to deliver hyper-personalised experiences.

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. You should be flexible, adaptable, and comfortable pivoting when ideas don't work out.

To succeed in this role, you will need:

• A PhD in Machine Learning, Computer Science, or a relevant field (or equivalent practical research experience).
• A proven track record of research excellence (e.g., publications at top-tier venues like NeurIPS, ICML, ICLR, or significant industry contributions).
• Strong software engineering skills to complement your research background.

In addition, hands-on experience with modern post-training methods (SFT, RLHF, etc.) and prior work applying LLMs to personalisation, memory, or agentic workflows would be an advantage.

At Google DeepMind, we want employees and their families to live happier and healthier lives, both in and out of work, and our benefits reflect that. Some select benefits we offer include enhanced maternity, paternity, adoption, and shared parental leave, private medical and dental insurance for yourself and any dependents, and flexible working options.

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Key Responsibilities:

• Own end-to-end PPC strategy and performance across UK, US, and AU, adapting to local market dynamics and commercial targets.
• Manage Paid Search across multiple brands, driving monetisation of voucher and reward-led pages for ecommerce revenue and ROI.
• Manage and optimise Google Ads (including Google Ads Editor) and Microsoft Advertising campaigns, including SA360, with ownership of bid strategies and budgets across high- and low-spending accounts in multiple territories.
• Optimise campaigns for ecommerce performance, balancing traffic acquisition with commercial return, and build audiences to improve targeting and conversion efficiency.
• Take ownership of conversion tracking and measurement frameworks, ensuring attribution models and Floodlight setups are accurate across all brands and markets.
• Partner with tech, analytics, and product teams to implement, maintain, and troubleshoot tracking, resolving discrepancies to ensure reliable reporting.
• Produce clear, commercially focused performance reporting, translating data into actionable insights and communicating results to senior stakeholders, while staying at the forefront of Paid Search developments, researching trends, tools, and AI innovations.
• Collaborate closely with Senior PPC Manager, Rewards, ecommerce, finance, and marketing teams while mentoring junior team members and embedding best practice.

Experience that will put you ahead of the curve…

• Strong experience in Paid Search, with a proven track record of managing and growing high-performing Google Ads and Microsoft Advertising accounts.
• Experience running PPC across multiple international markets, ideally including the UK, US, and/or AU.
• Demonstrated ability to drive ecommerce revenue while maintaining strong ROI, particularly in voucher, rewards, or commerce-led environments.
• Solid technical expertise in conversion tracking, attribution modelling, and PPC measurement.
• Hands-on experience with Floodlight and Google Marketing Platform tools, including SA360 and Ads Editor.
• Confidence working with tech and analytics teams to diagnose and resolve tracking or data issues.
• Excellent understanding of Paid Search metrics, bid automation, auction dynamics, and optimisation levers.
• Strong stakeholder management skills, with the ability to communicate performance and insights clearly.
• Experience supporting or mentoring junior team members is desirable.
• Google Ads and Microsoft Advertising certifications preferred.

What's in it for you

This is a Hybrid role from our Cardiff Office, working three days from the office, two from home

… Plus more great perks, which include;

• Uncapped leave, because we trust you to manage your workload and time
• When we hit our targets, enjoy a share of our profits with a bonus
• Refer a friend and get rewarded when they join Future
• Well-being support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

Internal job family level P6

Who are we…

We're Future, the global leader in specialist media. With over 3,000 employees working across 200+ media brands, Future is a prime destination for passionate people worldwide looking to consume trusted, expert content that educates and inspires action - both online and off - through our specialist websites, magazines, events, newsletters, podcasts and social spaces.

We've got ambitious plans that further build on our growth momentum and unlock new opportunities – and we're looking for driven people who want to be a part of it!

Our Future, Our Responsibility - Inclusion and Diversity at Future

We embrace and celebrate diversity, making it part of who we are.

Different perspectives spark ideas, fuel creativity, and push us to innovate. That's why we're building a workplace where everyone feels valued, respected, and empowered to thrive.

When it comes to hiring, we keep it fair and inclusive, welcoming talent from every walk of life. It's not just about what you bring to the table — it's about making sure the table has room for everyone.

Because a diverse team isn't just good for business. It's the Future.

Find out more about Our Future, Our Responsibility on our website.

Please let us know if you need any reasonable adjustments made so we can give you the best experience!

#LI-Hybrid

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Collaboration & Support

You'll work closely with animators, character artists, and gameplay engineers to ensure efficient workflows and high-fidelity animated content. You'll translate the technical requirements of the animation team into actionable solutions for engineering and pipeline teams. You'll diagnose and resolve complex animation-related issues including rig behavior, deformation quality, skeletal hierarchies, retargeting, and physics performance.

Rigging, Simulation & Animation Systems

You'll design, build, and maintain modular, animator-friendly rigs for characters, creatures, props, facial animation, and mechanical assets. You'll implement and refine physics-based systems including ragdoll setups, cloth simulation, spline dynamics, secondary motion, and procedural animation solutions. You'll develop scalable animation blueprints, state machines, blend trees, and control rigs in Unreal or Unity. You'll integrate motion capture data, build retargeting pipelines, and ensure consistent motion quality across diverse character sets.

Tools, Pipelines & Optimisation

You'll create and maintain tools, scripts, and automated pipelines that improve animation productivity and asset quality. You'll build validation tools to enforce naming conventions, skeleton standards, rig integrity, and performance budgets. You'll profile and optimise animation systems, rig performance, runtime solvers, and physics setups to work efficiently within hardware constraints. You'll participate in cross-discipline R&D to establish best practices for real-time deformation, procedural animation, and advanced simulation workflows.

Requirements

• Experience with Python, C#, MEL, PyMEL, MAXScript, Blueprints (Unreal), Editor Tools (Unity)
• Understanding of runtime animation systems, rig solvers, and physics components
• Familiarity with shader scripting (HLSL/GLSL) is a plus, particularly for deformation or skinning R&D

Skills

• Character & Creature Rigging
• Cloth / Hair / Ragdoll / Physics Setup
• Animation Pipeline Development
• Procedural Animation & Secondary Motion
• Performance Profiling & Optimisation
• Motion Capture Integration

Software / Tools

• Unreal Engine (Control Rig, Physics, Animation Blueprints)
• Unity (Mecanim, Animation Rigging Package, DOTS animation optional)
• Maya, 3DS Max (rigging, scripting, tool creation)
• Houdini (procedural rigs, physics, motion tools a bonus)

Benefits

• Only those with relevant working rights for Malaysia, and Indonesia will be considered. Sponsorship and relocation is not being offered as part of this package.

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Join AVL and make a direct impact on shaping the future of Data, AI, and Mobility.

Your Responsibilities:

• Review and stabilise existing platform implementations (Databricks, Foundry – pipelines, Ontology schemas, Workshop applications, Functions, notebooks).
• Identify performance bottlenecks, technical debt, and governance gaps across data pipelines and application layers.
• Lead Ontology governance and design reviews, acting as a gatekeeper for all schema changes (Object Types, Links, Properties, Actions).
• Define and document target data architectures (ingestion, transformation, and consumption layers).
• Establish coding standards, naming conventions, repository structures, and Function versioning policies.
• Enforce code reviews and technical validation before production deployment through Foundry Branching and Proposal workflows.
• Define and implement a structured testing strategy (unit tests for Functions, integration tests, data quality checks, pipeline expectations).
• Design and improve CI/CD pipelines and Dev/Test/Prod promotion processes using Foundry Marketplace/DevOps.
• Automate deployments, rollbacks, and environment configurations.
• Create and maintain architecture documentation (ADRs, data lineage diagrams, Ontology schemas, data flow diagrams).
• Design reusable Workshop component libraries, custom widgets, and Slate application patterns.
• Design and validate new platform solutions aligned with strategy, security, and governance requirements.
• Mentor the development team on architectural thinking and platform best practices (40% hands-on coding, 60% architecture/leadership).

Your Profile:

• Master’s degree in Computer Science, Data Engineering, or a related field.
• 5+ years of experience in data engineering or platform architecture roles.
• Strong expertise in modern data platforms (Databricks, Snowflake, AWS Glue, Azure Synapse, or similar). Foundry experience is strongly preferred but not required.
• Advanced skills in Python (PySpark), SQL (Spark SQL), and TypeScript for backend logic and application development.
• Experience with distributed data processing (Spark architecture, partitioning strategies, performance optimisation).
• Strong understanding of relational databases (PostgreSQL, Oracle, or similar).
• Experience with CI/CD workflows, Git branching strategies, and automated testing in data environments.
• Solid experience in end-to-end ETL and data transformation processes.
• Proven experience in performance optimisation and scalable architecture design.
• Experience in defining development standards, interface contracts, and engineering best practices.
• Hands-on coding mindset: must write production code daily, not only review or document.
• Structured, analytical, and documentation-oriented approach.
• Strong communication and technical leadership skills, with very good proficiency in English and French.

Benefits:

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

How to Apply:

If you have these qualifications and are looking for a new challenge, we encourage you to apply to discuss it further!

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities:

We are seeking a Linux OS and System Programming Subject Matter Expert to join our Infrastructure team. In this role, you'll work on accelerating and optimising our virtualisation and VM workloads that power our AI infrastructure. Your expertise in low-level system programming, kernel optimisation, and virtualisation technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.

• Optimise our virtualisation stack, improving performance, reliability, and efficiency of our VM environments
• Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure
• Investigate and resolve performance bottlenecks in virtualised environments
• Collaborate with cloud engineering teams to optimise interactions between our workloads and underlying hardware
• Develop tooling for monitoring and improving virtualisation performance
• Work with our ML engineers to understand their computational needs and optimise our systems accordingly
• Contribute to the design and implementation of our next-generation compute infrastructure
• Share knowledge with team members on low-level systems programming and Linux kernel internals
• Partner with cloud providers to influence hardware and platform features for AI workloads

You may be a good fit if you:

• Have experience with Linux kernel development, system programming, or related low-level software engineering
• Understand virtualisation technologies (KVM, Xen, QEMU, etc.) and their performance characteristics
• Have experience optimising system performance for compute-intensive workloads
• Are familiar with modern CPU architectures and memory systems
• Have strong C/C++ programming skills and ideally experience with systems languages like Rust
• Understand Linux resource management, scheduling, and memory management
• Have experience profiling and debugging system-level performance issues
• Are comfortable diving into unfamiliar codebases and technical domains
• Are results-oriented, with a bias towards practical solutions and measurable impact
• Care about the societal impacts of AI and are passionate about building safe, reliable systems

Strong candidates may also have experience with:

• GPU virtualisation and acceleration technologies
• Cloud infrastructure at scale (AWS, GCP)
• Container technologies and their underlying implementation (Docker, containerd, runc, OCI)
• eBPF programming and kernel tracing tools
• OS-level security hardening and isolation techniques
• Developing custom scheduling algorithms for specialised workloads
• Performance optimisation for ML/AI specific workloads
• Network stack optimisation and high-performance networking
• Experience with TPUs, custom ASICs, or other ML accelerators

Representative projects:

• Optimising kernel parameters and VM configurations to reduce inference latency for large language models
• Implementing custom memory management schemes for large-scale distributed training
• Developing specialised I/O schedulers to prioritise ML workloads
• Creating lightweight virtualisation solutions tailored for AI inference
• Building monitoring and instrumentation tools to identify system-level bottlenecks
• Enhancing communication between VMs for distributed training workloads

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Logistics

Education requirements:

We require at least a Bachelor's degree in a related field or equivalent experience.

Location-based hybrid policy:

Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:

We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us.

To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about the authenticity of an email or a request, please reach out to us directly.

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As a member of the Compute team, you will play a critical role in Anthropic's mission of building safe and beneficial AI by ensuring we understand, optimize, and strategically manage our cloud infrastructure spend. Your work will directly impact how efficiently we operate our multi-cloud and datacenter footprint, from forecasting infrastructure needs and planning capacity, to driving utilization improvements and reducing unit costs across our compute, storage, and networking resources.

You will work closely with Compute Finance, Infrastructure Engineers, and Product to translate raw cloud billing data into actionable efficiency insights and influence capacity planning & allocation. You will help build deep visibility into our infrastructure spend, forecast capacity needs, attribute costs accurately across teams and workloads, model resource demand curves, and help identify efficiency opportunities across our fleet.

Responsibilities:

• Build and maintain cloud cost attribution models that accurately allocate infrastructure spend (compute, accelerators, storage, networking, data transfer) across teams, products, and workloads, providing clear visibility into who is spending what and why.

• Build and maintain cost of revenue pipelines and models

• Partner with infrastructure, finance, and procurement stakeholders to analyse utilization patterns, identify inefficiencies, and drive optimization initiatives that improve the cost-effectiveness of our non-accelerator cloud resources.

• Develop forecasting models for non-accelerator infrastructure demand, incorporating business growth projections, product roadmaps, and historical spend trends to enable proactive capacity planning and budget accuracy.

• Define and track unit cost metrics (e.g., cost per request, cost per GB stored, cost per pipeline run) and identify opportunities to reduce them, influencing infrastructure and engineering roadmaps with data-driven recommendations.

• Develop unit cost economics for various workloads and applications, and using the metrics to drive efficiency efforts across product and infrastructure teams.

• Build a cost-aware culture across the organisation by creating self-serve dashboards, automated reporting, and accessible datasets that give engineering and finance teams clear visibility into cloud spend and efficiency metrics.

You might be a good fit if you have:

• 6+ years of experience in data science, analytics, or FinOps roles, with a focus on cloud infrastructure cost analysis, capacity planning, or efficiency optimisation.

• Experience building spend forecasting models and large-scale cost attribution systems.

• Deep knowledge of cloud billing systems, cost allocation methodologies, and spend optimisation levers (e.g., reserved instances, committed use discounts, rightsizing, spot/preemptible usage).

• A passion for the company's mission of building helpful, honest, and harmless AI.

• Expertise in Python, SQL, forecasting, data modelling and data visualisation tools.

• A bias for action and urgency, not letting perfect be the enemy of the effective.

• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

• A deep curiosity and energy for pulling the thread on hard questions.

• Experience in turning open questions and data into concise and insightful analysis.

• Highly effective written communication and presentation skills.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

At Anthropic, we are building some of the most complex and large-scale AI infrastructure in the world. As that infrastructure scales rapidly, so does the imperative to optimise how we use it. As a Software Engineer for Compute Efficiency on the Capacity team, you will play a central role in making our systems more performant, cost-effective, and sustainable—without compromising reliability or latency.

You will work across the full infrastructure stack, from cloud platforms and networking to application-level performance, and will bridge the gap between high-level research needs and low-level hardware constraints to build the most efficient AI infrastructure in the world. You will help with building the telemetry, cost attribution, and optimisation frameworks that ensure every dollar of our infrastructure investment delivers maximum value. This is a high-impact, cross-functional role at the intersection of systems engineering, financial optimisation, and AI infrastructure.

Responsibilities

• Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilisation, and costs across our cloud and datacentre fleets.

• Design and implement cost attribution frameworks for our multi-tenant infrastructure, enabling teams to understand and optimise their resource consumption.

• Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.

• Partner closely with cloud service providers and internal stakeholders to optimise cluster configurations, workload placement, and resource utilisation across AI training and inference workloads—including large-scale clusters spanning thousands to hundreds of thousands of machines.

• Develop and champion engineering practices around efficiency, driving a culture of performance awareness and cost-conscious design across Anthropic.

• Collaborate with research and product teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.

• Drive architectural improvements and code-level optimisations across multiple services and platforms to deliver measurable utilisation and performance gains.

You may be a good fit if you:

• Have 6+ years of relevant industry experience, 1+ year leading large scale, complex projects or teams as a software engineer or tech lead

• Deep expertise in distributed systems at scale, with a strong focus on infrastructure reliability, scalability, and continuous improvement.

• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)

• Hands-on experience with cloud infrastructure, including Kubernetes, Infrastructure as Code, and major cloud providers such as AWS or GCP.

• Experience optimising end-to-end performance of distributed systems, including workload right-sizing and resource utilisation tuning.

• You possess a deep curiosity for how things work under the hood and have a proven ability to work independently to solve opaque performance issues

• Experience designing or working with performance and utilisation monitoring tools in large-scale, distributed environments.

• Strong problem-solving skills with the ability to work independently and navigate ambiguity.

• Excellent communication and collaboration skills—you will work closely with internal and external stakeholders to build consensus and drive projects forward.

Strong candidates may have:

• Experience with machine learning infrastructure workloads as well as associated networking technologies like NCCL.

• Low level systems experience, for example linux kernel tuning and eBPF

• Quickly understanding systems design tradeoffs, keeping track of rapidly evolving software systems

• Published work in performance optimisation and scaling distributed systems

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

Claude.ai is Anthropic's flagship consumer product, spanning web, mobile, desktop, and browser extensions—and it's growing fast. The UI Platform team owns the foundational layer that makes all of this possible: the shared infrastructure, components, APIs, and tooling that let every other product team at Anthropic ship quickly, reliably, and with confidence.

As a Software Engineer on this team, you'll be hands-on building the platform that other engineers depend on every day. This means designing and shipping shared components and design-system-level abstractions, evolving the backend-for-frontend (BFF) APIs that power our client applications, and improving the build, deploy, and observability systems that keep Claude.ai running smoothly across surfaces. Your work will directly shape how fast teams across Anthropic can innovate—and how stable their experiences are when they do.

This is a great fit if you care deeply about developer experience and want your engineering work to have outsized leverage: instead of shipping one feature, you're building the tools and systems that make dozens of features possible.

Responsibilities:

• Design and build shared UI components, libraries, and abstractions that product teams across Anthropic use to ship consistently and efficiently on web and mobile
• Contribute to the BFF API layer that powers Claude.ai's client applications—thinking carefully about clean contracts, performance, and reliability at the boundary between frontend and backend
• Improve developer velocity across the organisation by reducing friction in our build, deploy, and testing pipelines
• Work on performance and reliability: identify and resolve latency issues, improve observability, and help establish high standards that the rest of the platform team can build on
• Partner closely with product engineering teams to understand their needs, unblock them when possible, and shape platform investments around where the most impact is
• Help maintain and evolve documentation and tooling that make the platform approachable for engineers joining or building on top of it

You may be a good fit if you:

• Have 5+ years of software engineering experience, with significant time spent building shared platforms, developer tools, or infrastructure that other engineers rely on
• Have strong practical skills in modern web technologies (React, TypeScript, Next.js) and experience designing or consuming APIs that serve frontend applications
• Care about developer experience and have a track record of building things that make other engineers more productive
• Have solid instincts around reliability, observability, and performance—and enjoy operationalising those instincts in production systems
• Thrive in fast-paced, collaborative environments and enjoy working closely with cross-functional partners
• Pick up slack, even if it goes outside your job description

Strong candidates may also have experience with:

• Building shared component libraries or design systems for multiple surfaces (web, mobile, desktop)
• BFF architectures and API patterns that balance flexibility with consistency across client platforms
• Performance optimisation and latency reduction in consumer-facing applications
• CI/CD, build systems, and deployment automation
• Observability and monitoring (metrics, logging, tracing)
• Working on AI/ML products or in rapidly evolving product environments

Candidates need not have:

• 100% of the skills needed to perform the job
• Formal certifications or education credentials

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains.

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As a TPU Kernel Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimising kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance.

You may be a good fit if you:

• Have significant experience optimising ML systems for TPUs, GPUs, or other accelerators
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High performance, large-scale ML systems
• Designing and implementing kernels for TPUs or other ML accelerators
• Understanding accelerators at a deep level, e.g. a background in computer architecture
• ML framework internals
• Language modeling with transformers

Representative projects:

• Implement low-latency, high-throughput sampling for large language models
• Adapt existing models for low-precision inference
• Build quantitative models of system performance
• Design and implement custom collective communication algorithms
• Debug kernel performance at the assembly level

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

Guidance on Candidates' AI Usage:

Learn about our policy for using AI in our application process

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role:

Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems.

This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimisation, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow.

Responsibilities:

• Own critical aspects of our production pretraining pipeline, including model operations, performance optimisation, observability, and reliability
• Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure
• Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance
• Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams
• Build and maintain production logging, monitoring dashboards, and evaluation infrastructure
• Add new capabilities to the training codebase, such as long context support or novel architectures
• Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams
• Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned

You May Be a Good Fit If You:

• Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems
• Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other
• Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure
• Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs
• Excel at debugging complex, ambiguous problems across multiple layers of the stack
• Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents
• Are passionate about the work itself and want to refine your craft as a research engineer
• Care about the societal impacts of AI and responsible scaling

Strong Candidates May Also Have:

• Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale
• Contributed to open-source LLM frameworks (e.g., open\_lm, llm-foundry, mesh-transformer-jax)
• Published research on model training, scaling laws, or ML systems
• Experience with production ML systems, observability tools, or evaluation infrastructure
• Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence

What Makes This Role Unique:

This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends.

However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding.

We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you.

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.

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You will deeply understand the research workflows of our Finetuning teams and automate the high-friction parts – turning days of manual experimentation into hours. You’ll build the tools and infrastructure that enable researchers across the organisation to develop, evaluate, and optimise reward signals for training our models. Your scalable platforms will make it easy to experiment with different reward methodologies, assess their robustness, and iterate rapidly on improvements to help the rest of Anthropic train our reward models.

Responsibilities

• Design and build infrastructure that enables researchers to rapidly iterate on reward signals, including tools for rubric development, human feedback data analysis, and reward robustness evaluation
• Develop systems for automated quality assessment of rewards, including detection of reward hacks and other pathologies
• Create tooling that allows researchers to easily compare different reward methodologies (preference models, rubrics, programmatic rewards) and understand their effects
• Build pipelines and workflows that reduce toil in reward development, from dataset preparation to evaluation to deployment
• Implement monitoring and observability systems to track reward signal quality and surface issues during training runs
• Collaborate with researchers to translate science requirements into platform capabilities
• Optimise existing systems for performance, reliability, and ease of use
• Contribute to the development of best practices and documentation for reward development workflows

You may be a good fit if you

• Have prior research experience
• Are excited to work closely with researchers and translate ambiguous requirements into well-scoped engineering projects
• Have strong Python skills
• Have experience with ML workflows and data pipelines, and building related infrastructure/tooling/platforms
• Are comfortable working across the stack, ranging from data pipelines to experiment tracking to user-facing tooling
• Can balance building robust, maintainable systems with the need to move quickly in a research environment
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Care about the societal impacts of your work and are motivated by Anthropic's mission to develop safe AI

Strong candidates may also have experience with

• Experience with ML research
• Building internal tooling and platforms for ML researchers
• Data quality assessment and pipeline optimisation
• Experiment tracking, evaluation frameworks, or MLOps tooling
• Large-scale data processing (e.g., Spark, Hive, or similar)
• Kubernetes, distributed systems, or cloud infrastructure
• Familiarity with reinforcement learning or fine-tuning workflows

Representative projects

• Building infrastructure that allows researchers to rapidly test new rubric designs against small models before scaling up
• Developing automated systems to detect reward hacks and surface problematic behaviours during training
• Creating tooling for comparing different grading methodologies and understanding their effects on model behaviour
• Building a data quality flywheel that helps researchers identify problematic transcripts and feed improvements back into the system
• Developing dashboards and monitoring systems that give researchers visibility into reward signal quality across training runs
• Streamlining dataset preparation workflows to reduce latency and operational overhead

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with the process.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Team

Our team is organised around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows.

About the role

As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimisation, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged.

Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity.

Responsibilities:

• Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
• Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery
• Scaling research ideas from prototype to production
• Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use
• Implement distributed training systems and performance optimisations to support large-scale model development

You may be a good fit if you:

• Have 8+ years of ML research experience
• Are familiar with large scale language model training, evaluation, and inference pipelines
• Enjoy obsessively iterating on immediate blockers towards longterm goals
• Thrive working collaboratively to solve problems
• Have expertise in performance optimisation and distributed computing systems
• Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems
• Can translate research concepts into scalable engineering solutions
• Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems

Strong candidates may also have:

• Expertise with performance optimisation for language model inference and training
• Experience with computer use automation and agentic AI systems
• A history working on reinforcement learning approaches for complex task completion
• Knowledge of containerisation technologies (Docker, Kubernetes) and cloud deployment at scale
• Demonstrated ability to work across multiple domains (language modelling, systems engineering, scientific computing)
• Have experience with VM/sandboxing/container deployment and large-scale data processing
• Experience working with large scale data problem solving and infrastructure
• Published research or practical experience in scientific AI applications or long-horizon reasoning

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification.** Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

Your safety matters to us.** To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science.

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Responsibilities:

• Conduct growth and margin analysis, discount impact assessment, and deal profitability modelling to support data-driven decision making
• Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests
• Review and analyse enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications
• Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals
• Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders
• Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives
• Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls
• Maintain comprehensive deal documentation and provide regular reporting on deal desk metrics, trends, and performance

You may be a good fit if you:

• Have 7+ years of experience in deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment
• Possess hands-on experience building sophisticated financial models, conducting pricing optimisation, and structuring complex deals
• Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
• Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows
• Have experience with CRM systems, CPQ tools, and contract management platforms
• Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail
• Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership

Strong candidates may also have:

• Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles
• Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking
• Experience with deal desk operations at companies with subscription and consumption-based business models
• Knowledge of enterprise software contract terms and industry-standard commercial practices
• Understanding of AI business models and the unique commercial considerations

The annual compensation range for this role is $235,000 - $310,000 USD.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

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Responsibilities:

• Conduct growth and margin analysis, discount impact assessment, and deal profitability modelling to support data-driven decision making
• Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests
• Review and analyse enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications
• Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals
• Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders
• Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives
• Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls
• Maintain comprehensive deal documentation and provide regular reporting on deal desk metrics, trends, and performance

You may be a good fit if you:

• Have 3+ years of experience in deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment
• Possess hands-on experience building sophisticated financial models, conducting pricing optimisation, and structuring complex deals
• Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments
• Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows
• Have experience with CRM systems, CPQ tools, and contract management platforms
• Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail
• Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership

Strong candidates may also have:

• Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles
• Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking
• Experience with deal desk operations at companies with subscription and consumption-based business models
• Knowledge of enterprise software contract terms and industry-standard commercial practices
• Understanding of AI business models and the unique commercial considerations

The annual compensation range for this role is €140,000 - €175,000EUR.

Logistics

• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.

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As an Enterprise Product Engineer at Cursor, you'll architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.

You may be a fit if

You have an entrepreneurial spirit and love creating outsized business impact. You want to be at the frontier of AI transformation with the best companies in the world. You're passionate about building great products that blend excellent engineering with a taste for models and design. You have a propensity for creative ideas and have a knack for making powerful tools without compromising their ease-of-use.

Responsibilities

• Architect, implement, and deploy projects end-to-end to build enterprise-grade features that help large organisations adopt and scale with Cursor.
• Collaborate with cross-functional teams to define and deliver product roadmaps that meet business objectives.
• Analyse customer needs and develop solutions that meet their requirements.
• Work closely with the design team to create user-centred products that are both functional and aesthetically pleasing.
• Develop and maintain high-quality code that is scalable, maintainable, and efficient.
• Participate in code reviews to ensure that the codebase is of the highest quality.
• Stay up-to-date with the latest technologies and trends in the industry.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a recognised leader in the AI industry.
• Collaborative and dynamic work environment.
• Flexible working hours and remote work options.
• Access to the latest technologies and tools.
• Opportunities for professional growth and development.

What we're looking for

• 3+ years of experience in software development, preferably in a product engineering role.
• Strong understanding of software development principles, patterns, and best practices.
• Experience with Agile development methodologies and version control systems.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Experience with cloud-based technologies and containerisation.
• Familiarity with machine learning and AI concepts.
• Experience with design thinking and user-centred design.
• Strong understanding of security principles and best practices.
• Experience with DevOps practices and tools.
• Familiarity with testing frameworks and methodologies.
• Experience with continuous integration and continuous deployment.
• Strong understanding of scalability and performance optimisation.
• Experience with monitoring and logging tools.
• Familiarity with containerisation and orchestration.
• Experience with cloud-based storage and databases.
• Familiarity with security frameworks and best practices.
• Experience with compliance and regulatory requirements.
• Familiarity with industry standards and best practices.

Preferred skills

• Experience with Python, Java, or C++.
• Familiarity with cloud-based platforms such as AWS or Azure.
• Experience with containerisation and orchestration tools such as Docker and Kubernetes.
• Familiarity with machine learning and AI frameworks such as TensorFlow or PyTorch.
• Experience with design thinking and user-centred design tools such as Sketch or Figma.
• Familiarity with testing frameworks and methodologies such as JUnit or PyUnit.
• Experience with continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Familiarity with monitoring and logging tools such as Prometheus or Grafana.
• Experience with security frameworks and best practices such as OWASP or NIST.
• Familiarity with compliance and regulatory requirements such as GDPR or HIPAA.
• Experience with industry standards and best practices such as ISO 27001 or PCI-DSS.

Salary range

£80,000 - £120,000 per annum.

Category

Engineering.

Industry

Technology.

Experience level

Mid.

Employment type

Full-time.

Workplace type

Remote.

Required skills

• Software development principles, patterns, and best practices.
• Agile development methodologies and version control systems.
• Problem-solving skills and attention to detail.
• Communication and collaboration skills.
• Cloud-based technologies and containerisation.
• Machine learning and AI concepts.
• Design thinking and user-centred design.
• Security principles and best practices.
• DevOps practices and tools.
• Testing frameworks and methodologies.
• Continuous integration and continuous deployment.
• Scalability and performance optimisation.
• Monitoring and logging tools.
• Containerisation and orchestration.
• Cloud-based storage and databases.
• Security frameworks and best practices.
• Compliance and regulatory requirements.
• Industry standards and best practices.

Preferred skills

• Python, Java, or C++.
• Cloud-based platforms such as AWS or Azure.
• Containerisation and orchestration tools such as Docker and Kubernetes.
• Machine learning and AI frameworks such as TensorFlow or PyTorch.
• Design thinking and user-centred design tools such as Sketch or Figma.
• Testing frameworks and methodologies such as JUnit or PyUnit.
• Continuous integration and continuous deployment tools such as Jenkins or GitLab CI/CD.
• Monitoring and logging tools such as Prometheus or Grafana.
• Security frameworks and best practices such as OWASP or NIST.
• Compliance and regulatory requirements such as GDPR or HIPAA.
• Industry standards and best practices such as ISO 27001 or PCI-DSS.

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Responsibilities

• Design and analyse marketing experiments to optimise campaigns, messaging, and channel performance across email, paid ads, social, and content marketing.
• Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion.
• Develop predictive models to identify high-intent prospects, optimise lead scoring, and improve targeting for paid acquisition campaigns.
• Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations.
• Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams.
• Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics.

Examples of what you could do

• Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals.
• Analyse cohort behaviour and retention patterns to optimise lifecycle marketing campaigns and reduce churn.
• Develop segmentation models to personalise messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams).
• Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms.

Required skills and experience

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles.
• 4+ years of experience in data science or related roles with a focus on marketing, growth, or business analytics.
• Strong SQL skills and experience working with large datasets, particularly event-level user behaviour data, and designing ETL workflows using dbt
• Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.).
• Experience designing and analysing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference.
• Experience building dashboards and visualisations (Looker, Tableau, Mode, or similar tools).
• Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders.

Preferred Qualifications

• Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.).
• Background in growth analytics, marketing analytics, or conversion rate optimisation at a SaaS or PLG company.
• Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.).
• Experience with attribution modelling, marketing mix modelling, or incrementality testing.
• Understanding of PLG (product-led growth) motions and self-serve conversion funnels.

Bonus Points

• Experience analysing freemium or usage-based pricing models.
• Understanding of developer tools, collaborative coding environments, or technical products.
• Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching).
• Familiarity with customer data platforms (CDPs) and event tracking implementation.
• Experience working with sales and customer success data to analyse expansion revenue and upsell opportunities.

Full-Time Employee Benefits Include

• Competitive Salary & Equity
• 401(k) Program with a 4% match
• Health, Dental, Vision and Life Insurance
• Short Term and Long Term Disability
• Paid Parental, Medical, Caregiver Leave
• Commuter Benefits
• Monthly Wellness Stipend
• Autonomous Work Environment
• In Office Set-Up Reimbursement
• Flexible Time Off (FTO) + Holidays
• Quarterly Team Gatherings
• In Office Amenities

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Rattaché au Responsable Technique, l’Ingénieur performance est responsable de l'analyse de performance et des données pour l'ensemble des championnats (WEC, ELMS, ALMS). Il a pour mission de prédire, d’analyser et de comprendre la performance des voitures existantes lors de tous les évènements. Il aura la charge de travailler sur des projets impliquant des études de simulation approfondies et d’aider à encadrer les règlements techniques. Il sera fortement impliqué dans les projets et règlements techniques liés à l'hydrogène.

Vous serez amené à :

• Modéliser tout type de voiture et de stratégie de groupe motopropulseur pour évaluer les pistes des règlements techniques,
• Préparer des reportings à l’aide d’analyse des chronos/données et de simulation, avant chaque évènement,
• Être présent lors des évènements pour réaliser des analyses en temps réel des chronos/données et des évaluations de la performance des véhicules,
• Réaliser des reportings après l’évènement, en utilisant l’analyse des chronos/données,
• Développer et valider des outils d’analyse avancés et sur mesure pour améliorer notre compréhension de la performance des véhicules sur piste (performance du pilote, dynamique du véhicule, aérodynamique, groupe motopropulseur, ravitaillement), ainsi que des stratégies des concurrents,
• Améliorer les algorithmes de performance, les outils d’analyse statistique afin de produire des rapports standardisés pour les concurrents et les fabricants,
• Collaborer avec l’Ingénieur Électronique pour établir les spécifications et être en contact avec les fournisseurs de systèmes de contrôle (par exemple, les capteurs de couple).

Le profil recherché

• Vous possédez un diplôme d’ingénieur et vous justifiez d'une expérience d’au moins 10 ans en électronique de sports mécaniques,
• Vous avez 5 ans d’expérience avec des logiciels de simulation (avec plusieurs types de groupes motopropulseurs comme les moteurs à combustion interne, hybride, moteurs électriques…) et avec Matlab, ainsi sur les logiciels d’analyse de données, de préférence avec Magneti Marelli (ou équivalent),
• Vous appréciez comprendre et implémenter des méthodes issues de la littérature de pointe dans les domaines de l’optimisation, des statistiques et de l’apprentissage automatique,
• Vous possédez une bonne capacité d’analyse et avez un bon esprit de synthèse,
• Vous possédez d’excellentes compétences en organisation et en communication,
• Vous avez une attitude proactive et une capacité à travailler de manière autonome et en toute confidentialité,
• La maîtrise du français (parlé et écrit) est fortement souhaitée,
• La maîtrise de l’anglais (parlé et écrit) est indispensable pour ce poste,
• Vous avez la volonté de voyager fréquemment : des déplacements sont à prévoir selon les besoins (de 10 à 15 courses par an),
• Vous avez le désir de travailler en collaboration avec plusieurs parties prenantes : FIA, IMSA et les filiales de l'ACO.

Informations utiles

13ème mois

Mutuelle

Restaurant d'entreprise

Automobile Club de l'Ouest en quelques mots

L’ACO est le créateur et organisateur des 24 Heures du Mans qui ont lieu depuis 1923 sur le mythique circuit du Mans. Cette épreuve iconique du sport automobile connait aujourd’hui un développement international accéléré grâce au Championnat du Monde d’Endurance de la FIA (FIA WEC) qui permet aux passionnés du monde entier d’assister à des épreuves de type Le Mans lors de huit courses organisées sur quatre continents.

Le circuit du Mans accueille d’autres nombreuses manifestations internationales comme les 24 Heures Motos, le Grand Prix France Moto, Le Mans Classic, les 24 Heures Camions, les 24 Heures Karting, …

En complément, l’ACO développe d’autres activités liées aux sports mécaniques et à la sécurité routière, et qui contribuent à son rayonnement national et international :

• L’organisation de séminaires et évènements d’entreprises dans un lieu mythique,
• Un complexe international de Karting,
• Le Musée des 24 Heures,
• Les écoles de pilotage,
• La location des pistes,

L’ensemble de ces activités est organisé par des équipes de collaborateurs animés par les valeurs de l’ACO : Ethique, Esprit d’équipe, Excellence, Indépendance, Pérennité et Passion, et qui travaillent chaque jour au cœur même du circuit des 24 Heures.

L’expertise de nos collaborateurs porte notamment sur les métiers suivants : sport mécanique, commercial et marketing, communication, et fonctions transverses.

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Offres similaires

DELEGUE(E) TECHNIQUE (F/H) \ \ CDILe Mans

CHARGE(E) DE GRANDS COMPTES (F/H) \ \ CDILe Mans29–31 k € brut/an

COMPTABLE (F/H) \ \ CDDLe Mans2 000 € brut/mois

OPERATEUR KARTING SPORT LOISIR (F/H) \ \ CDDLe Mans1 890 € brut/mois

CHARGE(E) DE COMMUNICATION (F/H) \ \ CDDLe Mans2 870 € brut/mois

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What you'll do

As an AI Inference Engineer at Perplexity, you will have the opportunity to work on large-scale deployment of machine learning models for real-time inference. You will be responsible for developing APIs for AI inference that will be used by both internal and external customers.

• Develop APIs for AI inference that will be used by both internal and external customers
• Benchmark and address bottlenecks throughout our inference stack
• Improve the reliability and observability of our systems and respond to system outages
• Explore novel research and implement LLM inference optimisations

What you need

To be successful in this role, you will need to have experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX), familiarity with common LLM architectures and inference optimisation techniques (e.g. continuous batching, quantisation, etc.), and understanding of GPU architectures or experience with GPU kernel programming using CUDA.

• Experience with ML systems and deep learning frameworks (e.g. PyTorch, TensorFlow, ONNX)
• Familiarity with common LLM architectures and inference optimisation techniques (e.g. continuous batching, quantisation, etc.)
• Understanding of GPU architectures or experience with GPU kernel programming using CUDA

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