Key responsibilities include: Preparing internal documentation to evaluate new opportunities, including pre-screens and final approval documentation. Supporting investment team members by gathering data on potential investment opportunities and developing recommendations. Collaborating with team members to develop, enhance and manage investment cash flow models that support scenario analysis and return objectives across a diverse and evolving set of asset classes. Drafting sections of investment memos and compiling reporting materials under supervision. Actively monitoring existing investments in the portfolio; helping track portfolio performance metrics and gathering data on trends for team review. Creating models for internal deal analysis and tracking. Supporting due diligence processes by collecting and organising relevant information. Supporting deal execution processes and post-closing workstreams.

The position is well-suited for candidates who excel in fast-paced, entrepreneurial credit environments and enjoy managing multiple workflows with high accountability.

Qualifications include: 3+ years direct experience in corporate credit, asset based lending or asset based finance. Familiarity with asset-based finance, asset based lending across broad industries, including specific sector risks and nuances. Cash Flow modelling and Financial modelling skills. Analytical Thinking. Attention to Detail. Portfolio Management. Prioritisation.

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As a Commercial Finance Manager, you will develop and implement financial models to support strategic decision-making, commercial planning, and growth initiatives. You will analyse sales performance, revenue streams, and market trends, identifying key profitability drivers and opportunities for expansion. You will provide commercial insights and recommendations to senior stakeholders to optimise business performance.

Responsibilities:

• Develop and implement financial models to support strategic decision-making, commercial planning, and growth initiatives.
• Analyse sales performance, revenue streams, and market trends, identifying key profitability drivers and opportunities for expansion.
• Provide commercial insights and recommendations to senior stakeholders to optimise business performance.
• Support and enhance budgeting, forecasting, and variance analysis to drive financial accountability and operational efficiency.
• Partner with Sales, Marketing, and Operations teams to optimise pricing strategies, improve unit economics, and maximise commercial success.
• Prepare detailed financial reports and presentations, translating complex data into clear, actionable insights for the leadership team.

Requirements:

• Proven experience as a Commercial Finance Manager or in a similar role, ideally within consumer goods, retail, or entertainment.
• Strong proven financial modelling, sales forecasting, and commercial analysis expertise.
• Passionate about using data to drive strategic business decisions and enhance profitability.
• Exceptional communication and business partnering skills, able to collaborate effectively across departments.
• Highly adaptable and agile, thriving in a fast-growing, evolving business environment while managing multiple priorities.
• Advanced Excel skills with experience building accurate financial models from scratch; experience with SAP, Power BI, or other reporting tools is a plus.
• A problem solver with a commercial mindset, able to translate complex financial data into strategic recommendations.
• Confident, proactive, and detail-oriented, with the ability to challenge and influence stakeholders at all levels.
• Experience with ERP systems (e.g., Business Central, SAP, Oracle) and other financial software applications.
• A professional finance qualification with proven post-qualification experience in FP&A and or Commercial Finance.

Why Tonies?

• Flexibility – Hybrid working with two days in the London office, up to 30 days working abroad, and Summer Hours (June-August).
• Time Away – 30 days annual leave + bank holidays, 3 Wellbeing Days, paid sick leave, bereavement leave, volunteering day plus bank holiday swaps and more.
• Health & Wellbeing – Private medical insurance via Vitality, mental health support with our Employee Assistance Program, life assurance (4x salary), free Calm subscription, Specsavers eye test voucher, lunch on Tasty Tuesday and more.
• Financial & Career Growth – Competitive salary, pension match up to 4%, £200 learning & development budget, and Babbel subscription.
• Family & Lifestyle Perks – Enhanced maternity & paternity leave, Tonies gifts for major life events, and exclusive staff discounts.

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We are currently seeking an experienced professional to join our team in the role of Analyst.

Principal responsibilities: Prepare various presentation materials for use in internal or client meetings, such as company profiles, industry reports, capital market newsletters and pitch books Perform valuation analyses using various methodologies including trading comparables and transaction comparables, discounted cash flow and leveraged buyout Build financial models to evaluate performance under various operating scenarios and to analyze the impacts of different capital structures and potential transactions Work extensively in an integrated team environment with global Capital Markets and Advisory professionals on pitches and executions of equity and debt transactions Acquire in-depth understanding of client needs and the market, industry, product and business environment to identify new business opportunities and design customized solutions for clients Take ownership of work done and have high execution capabilities

Requirements: Masters or Bachelors in Finance, Accountancy, Business Administration, Economics or Engineering with good score Complete fluency in written and verbal Mandarin and English language Excellent quantitative and analytical skills Good grasp of business concepts Highly proficient at PowerPoint, Excel and Word Good at multitasking High attention to detail Excellent communication and interpersonal skills Experience in transaction execution (e.g. valuation and financial modelling) would be a plus CFA candidate preferred

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation need will be prioritised.

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#LI-DNI Full time employment, Monday – Friday, 40 hours per week. Pay Range: $235,000.00 to $245,000.00 per year.

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In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritise across technical and non-technical teams, and focus on securing and delivering compute capacity.

As a key member of our team, you will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.

This role combines technical program management with elements of strategic operations, partnership development, and financial analysis.

Responsibilities:

• Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives

• Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships

• Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones

• Support the structuring and negotiation of strategic compute deals, including financial modelling, term analysis, and vendor evaluation

• Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners

• Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility

• Analyse financial and operational data to inform decision-making on compute capacity planning and vendor strategy

• Provide clear and transparent reporting on program status, issues, and risks to leadership

You might be a good fit if you have:

• 8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies

• Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data centre/infrastructure)

• Background in cloud computing, data centre infrastructure, compute/silicon development, or technology-focused investment banking or consulting

• Familiarity with data centre infrastructure, compute hardware, and/or silicon development cycles

• Comfort with financial analysis and modelling; experience with vendor financing arrangements is a plus

• Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders

• Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution

• A track record of managing cross-functional initiatives in fast-paced, scaling technology environments

• A passion for Anthropic's mission and ensuring safe AI development

Strong candidates may also have:

• Experience managing external partnerships with large-scale cloud providers or hardware vendors

• Understanding of AI/ML infrastructure requirements and compute capacity planning

• Experience with vendor financing, equipment leasing, or infrastructure investment analysis

• Background in technical due diligence or technology M&A

The annual compensation range for this role is $250,000-$310,000 USD.

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As a Member of Technical Staff, you will be part of a small, highly motivated team focused on engineering excellence.

Our team operates with a flat organisational structure, where all employees are expected to be hands-on and contribute directly to the company's mission.

Leadership is given to those who show initiative and consistently deliver excellence.

Work ethic and strong prioritisation skills are important.

All employees are expected to have strong communication skills, being able to concisely and accurately share knowledge with their teammates.

You will get clarity on your first project before an offer.

Responsibilities

• Work on the most critical modelling challenges at any given time.

• Get clarity on your first project before an offer.

Basic Qualifications

• Believe truth-seeking AI is the most important and challenging problem.

• Be obsessed about building incredibly useful models.

• Be a power user of AI models.

• If you previously trained models used by millions of people, it's a big plus, but modelling experience is not required.

• Take pride in your work and thrive in meritocratic environments.

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Reporting to the Vice President, Enterprise Data, you'll partner closely with senior leaders to improve how teams make decisions, measure performance, and drive outcomes, with a focus on shared views of usage and consumption models and major product launches.

You'll oversee two critical functions: Marketing Analytics (including demand generation, lifecycle marketing, brand, web, developer relations, localization, monetization, and campaign and event effectiveness) and Product Data Insights (including DevOps, Security, Platforms, AI products, new usage and consumption models, product adoption, feature usage, and customer behaviour analysis).

Key responsibilities include:

Defining and executing a unified analytics strategy across Marketing and Product, including shared metrics, measurement frameworks, and dashboards that serve as a single source of truth and connect marketing investment to product adoption, usage, and customer outcomes.

Building clear operating rhythms and ways of working that close historical gaps and help Marketing and Product make consistent, data-informed decisions.

Partnering with Marketing and Product leadership, including the Chief Product & Marketing Officer and other senior stakeholders, to provide actionable insights and executive-ready recommendations that shape go-to-market plans, product launches, roadmap prioritisation, and user experience improvements.

Solving complex analytics problems across both functions, including attribution modelling, lead scoring optimisation, campaign and event effectiveness, product adoption and feature usage analysis, and analytics for AI-powered features (including instrumentation, usage, and cost drivers).

Building and maintaining forecasting and scenario modelling frameworks in partnership with Finance, Product, and go-to-market leaders, tying pipeline, recurring revenue, and usage or consumption models to planning and investment decisions.

Establishing and scaling an experimentation programme across Marketing and Product, setting standards for hypothesis design, test methodology, instrumentation requirements, and clear readouts that translate results into decisions.

Building strong partnerships with data engineering, engineering, and legal, privacy, and security teams to translate business questions into technical requirements, prioritise telemetry and data model work, and improve reliability, quality, accessibility, and compliance in the analytics stack.

Hiring, mentoring, and developing leaders and team members, raising the bar for strategic thinking, stakeholder partnership, and end-to-end ownership across the analytics organisation.

Requirements include:

Strategic analytics leadership across both marketing analytics and product analytics, ideally in B2B SaaS or other high-growth technology environments.

Experience building, leading, and developing multi-layer analytics teams (including hiring, managing managers, and coaching leaders).

Ability to define and operationalise end-to-end measurement frameworks across Marketing and Product, including shared KPIs and clear metric definitions.

Strong analytical and technical skills, including SQL; statistical analysis and experimentation (A/B and multivariate testing); forecasting and scenario modelling; and advanced analytics techniques.

Experience with data visualisation and BI tools (Tableau or similar), with a track record of building executive-ready reporting and narratives for senior leaders.

Proven partnership with Engineering and Data Engineering to translate business needs into telemetry, data models, and analytics requirements, and to improve reliability and delivery across the analytics stack.

Experience collaborating with Legal, Privacy, and Security partners to design compliant telemetry and data-collection approaches that respect regulations and customer expectations.

Ability to influence senior leaders through clear communication and actionable recommendations, and to work effectively in a fully remote, asynchronous environment while adopting GitLab's values and ways of working.

The base salary range for this role's listed level is currently $184,400-$314,400 USD for residents of the United States only.

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Your responsibilities will include developing self-service security frameworks and 'paved roads' that allow engineering teams to ship secure code by default. You will focus on automated guardrails for common vulnerabilities, while prioritising deep-dive design reviews into complex business logic and data isolation issues. You will also partner with product and engineering teams to review designs early, contribute to threat modelling for new features and complex initiatives, and provide clear, actionable security guidance.

You will research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows. You will manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.

You will contribute to the long-term roadmaps, metrics, and strategic planning for the security team. As a senior member of the team, you will lead complex threat modelling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organisation.

We are looking for a highly experienced Product Security Engineer with a strong background in computer science or a related field, and proficiency in writing clean, maintainable code. You should have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and be able to reason about the security implications of systems built on them. You should also have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.

You will excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity. You will be comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.

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As an HFC Fellow, you'll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems.

Key responsibilities include:

• Collaborative Work: Engage in high-impact projects with partnered AI labs and platforms, developing and evaluating complex financial scenarios to test and enhance AI accuracy in valuation, forecasting, and analysis.
• HFC Community: Become part of a supportive, interdisciplinary network of innovators and thought leaders committed to advancing frontier AI across domains.
• Contribute to Research Publications: Collaborate with Scale's research team to co-author technical reports and research papers.

To be eligible, candidates must be authorised to work in the United States; visa sponsorship is not available for this role.

Requirements include:

• Education: PhD, Master, BBA in Finance, Economics, or related degrees.
• Certifications: CFA or CPA strongly preferred.
• Professional Background: 5+ years in FP&A, Investment Banking, Portfolio Management, Financial Consulting, or equivalent research experience.
• Skills: Strong proficiency in financial modelling, valuation methodologies, forecasting, asset pricing, DCF analysis, market analysis, and risk assessment.

Professional mindset: detail-oriented, innovative thinker with a passion for financial technology and a commitment to collaboration.

Why join the HFC?

• Advance Finance AI Solutions: Apply your financial expertise to solve complex, real-world challenges where your judgment shapes advanced AI reasoning and decision-making.
• Professional Development: High-impact finance experts expand their influence through review projects, advisory roles, and research.
• Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training.
• Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments.
• Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.

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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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Responsibilities:

• Advise customers on usage of Stripe's PINless debit offering
• Design and collaborate on PINless debit experiments alongside Stripe's Data Science, and own experiment result analysis and customer facing readouts of analysis
• Serve as an internal expert on Stripe's PINLess debit offering, relaying customer feedback to Product with the goal of shaping Stripe's roadmap and strategy for PINless debit
• Work with account teams, deal pricing teams and partnership teams to manage Visa and Mastercard incentive offers, churn risks and volume win back initiatives
• Lead discussions with existing and prospective merchants, and provide the Sales team with tools and training to lead discussions with merchants and prospects.
• Serve as both an internal and merchant-facing expert on payment optimisation strategies.
• Gather and build on Stripe's wide-ranging payments expertise to create optimisation narratives/tools supported by rigorous analysis.
• Use existing tools to deploy sophisticated optimization playbooks and analyses across Stripe's customer portfolio.
• Synthesise and relay customer feedback and our findings to inform Stripe's product roadmap.
• Provide feedback on our tools and playbooks to help continuously improve our self serve offerings
• Develop optimization playbooks and stay updated on industry best practices and Stripe innovations

Requirements:

• 10+ years of experience in payments at a leading technology company, or consultancy in the payments industry.
• Deep expertise in PINless debit
• Understanding of e-commerce payments, cards based payments processing and optimization strategies, with a strong focus on PINless debit.
• Understanding of PINless debit regulations
• The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.
• A proven ability to be a self-starter capable of driving business results without significant supervision.
• Experience presenting directly to merchants
• Strong data processing, organisational and analytical skills.

Preferred qualifications:

• Experience with designing and administering A/B tests, SQL, dashboard building, modelling, or reporting
• Experience presenting to senior business leaders

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You will partner with Growth, Events, and Ops teams to build and expand a cohesive metrics framework that tracks the buyer's journey from the first digital touchpoint to a closed-won deal.

Your mission is to ensure every dollar spent on events and digital tactics is measurable, optimised, and aligned with our long-term revenue goals.

Metrics Framework & Taxonomy: Partner with Marketing Operations, Growth, and Demand Gen teams to define KPIs, performance frameworks, reporting hierarchies, and custom attribution models to determine marketing's impact.

Goal Setting & Forecasting: Lead the annual and quarterly targets setting process. Use historical conversion data to build 'reverse funnel' forecast models that tell us exactly how much traffic and lead volume is required to hit sales targets.

End-to-End Analysis: Analyse the performance of integrated campaigns, comparing the high-touch ROI of field events against the high-volume efficiency of digital channels (SEM, Paid Social, Content Syndication).

Insight Synthesis: Move beyond dashboards to deliver executive-level narratives. You will present weekly updates, monthly/quarterly business reviews to Marketing and Sales leadership.

Data Instrumentation & Orchestration: Partner with Marketing Ops, Revenue Ops, Information Technology, and Data Engineering to ensure instrumentation and capture of data (from Customer Relationship, Marketing Automation, Web, ABM, and other platforms) flows into trusted data sets in our data warehouse.

Testing & Optimisation: Design A/B testing frameworks to measure impact of digital and event tactics and continuously improve marketing ROI.

Scale Decision-Making: Drive the adoption of AI-driven, agentic insights across the marketing organisation to enable faster, smarter decisions.

Who You Are:

• 5+ years in B2B marketing analytics, marketing/revenue ops, or consulting/creative agencies that support marketing.
• You understand the nuances of the B2B 'buying committee' and the 'big deal' sales cycle.
• Communication: Ability to translate 'data speak' into 'business speak' for non-technical stakeholders.
• Stakeholder Management: You have the proven ability to change minds and influence decision making of key Marketing and Sales leaders.
• Experience with:

• CRM/MAP: Expert-level knowledge of CRM and MAP data structures.
• Visualisation: High proficiency in Tableau Desktop.
• Data: Ability to define requirements for integrated data sets from disparate data sources.
• Attribution: Experience defining and utilising multi-touch attribution tools.

Why CoreWeave?:

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

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

The Base Salary Range: The base salary range for this role is $143,000 to $210,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

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This includes managing M&A processes, analysing industry trends, assessing competitive landscapes, identifying investment opportunities, and supporting marquee fundraising initiatives. This person will work cross-functionally with a variety of stakeholders at all levels of CoreWeave and have frequent opportunities to interact with and support key executive-level decision makers.

Optimally, this person will have previous experience with generative AI, technology, digital infrastructure, cloud infrastructure, data centres or similar verticals.

Key Responsibilities:

• Identify and evaluate M&A and direct investment opportunities based on industry knowledge, market situation, and financial analysis

• Develop, maintain, and analyse complex financial models to support M&A transactions, strategic investments, and other strategic initiatives

• Assist in all phases of transaction execution, including due diligence, valuation, documentation, and integration planning

• Collaborate with internal stakeholders, including finance, legal, operations, and senior executives to ensure alignment and successful execution of deals

• Support Strategic Finance, Investor Relations, Treasury, and FP&A on cross-functional Ad Hoc finance projects

• Assist in the preparation of company management presentations that deliver CoreWeave's investment thesis and growth strategy to external stakeholders

• Conduct comprehensive due diligence on M&A and investment targets, including financial, and operational analysis

• Monitor industry trends, competitive landscape, and market dynamics to identify opportunities and threats

• Collaborate with CDO, CSO and CFO to assist with highly impactful, complex, and visible projects, including scaled, complex equity and debt fundraising initiatives

• Complete special strategic projects and ad hoc modelling for senior executives as needed, such as projects regarding international expansion and JV partnerships

Who You Are:

• A bachelor's degree in finance, accounting, applied mathematics, economics, engineering, or an equivalent combination of education and experience

• Minimum of 2+ year(s) of experience in investment banking, private equity, private credit or similar roles

• Advanced analytical skills with an ability to perform quantitative and qualitative analysis on new ideas and concepts

Preferred:

• Excellent financial modelling and valuation skills, with a demonstrated track record of executing complicated financial analyses

• Effective verbal and written communication skills, with a preference for candidates that have demonstrably interacted with management or other executive-level stakeholders

• High level of self-sufficiency with proven success at self-teaching and a high intellectual motor

• Strong analytical, quantitative, and problem-solving skills

• Exceptional attention to detail, organisational skills, and ability to manage multiple competing priorities simultaneously

• Advanced proficiency with Microsoft Office Suite, particularly Excel and PowerPoint

• Understanding of M&A processes for both public and private transactions, including deal sourcing/structuring, due diligence, and execution, with a proven track record of contributing to closed deals

• Experience with modelling debt transactions (e.g., leveraged buyout models and private/public credit) preferred

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

• You love digging into complex financial problems and solving them with precision.

• You're curious about how AI, cloud, and digital infrastructure are reshaping the global economy.

• You're an expert in financial modelling, valuation, and supporting high-impact transactions.

Why CoreWeave?

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

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

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

The base salary range for this role is $125,000 to $155,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits programme (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance

• 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Programme (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data centre locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

While we prioritise a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialised skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, colour, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic

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Responsibilities:

• Analyse financial or operational performance of the company to identify or recommend remedies.
• Define metrics and leading indicators of business performance.
• Conduct financial analyses related to investments.
• Create client presentations of plan details.
• Develop and maintain client and cross-functional relationships.
• Employ financial models to develop solutions to financial problems or to assess the financial or capital impact of transactions.
• Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy.
• Inform investment decisions by analysing financial information to forecast business, industry, or economic conditions.
• Act as a financial partner for analysis and evaluation of strategic projects and investments.
• Prepare plans of action for investment, using financial analyses.
• Design and provide analytical rigor to measure efficiency and ROI of investments, and influence decision-making.

Requirements:

• Master's degree or foreign equivalent in Management, Finance, Business Administration or related field, plus 5 years of experience in a Strategy Finance/FP&A role.
• 3 years of experience utilising Excel/Gsheet and SQL to build financial models and provide financial analyses, evaluate and test various scenarios.
• 3 years of experience understanding and evaluating investment opportunities (return on investment analyses) to develop long-term financial strategies aligned with organisational goals.
• 3 years of experience preparing accurate and insightful financial reports for stakeholders.
• 3 years of experience creating and managing budgets, as well as developing accurate and dynamic financial forecasts leveraging Excel/gsheet and data sources.

Salary: $179,088 – $220,800/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

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You'll collaborate with our technical team to train models on human interactions, problem-solving, and discussions; refine annotation tools; and select/create challenging problems in statistics to boost performance.

All of our AI Tutor roles potentially involve gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which candidates must be comfortable.

Responsibilities:

• Use proprietary software applications to provide input/labels on defined projects.
• Support and ensure the delivery of high-quality curated data.
• Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.
• Interact with the technical staff to help improve the design of efficient annotation tools.
• Choose problems from statistical domains that align with your expertise, focusing on areas such as probability theory, inferential statistics, regression modelling, multivariate analysis, stochastic processes, Bayesian methods, experimental design, and data-driven applications where you can confidently provide detailed solutions and evaluate model responses.

Basic Qualifications:

• Must have either (a) a Master’s or PhD in Statistics (or Mathematics with a specialisation in statistics or probability) or (b) a medal in an International Math Olympiad (IMO), International Statistical Olympiad, or similar competition.
• Proficiency in reading and writing, both in informal and professional English.
• Strong ability to navigate various information resources and databases.
• Outstanding communication, interpersonal, analytical, and organisational capabilities.
• Solid reading comprehension skills combined with capacity to exercise autonomous judgement even when presented with limited data/material.
• A strong passion for and commitment to technological advancements and innovation.

Preferred Skills and Experience:

• PhD in Statistics or a closely related quantitative field.
• Peer-reviewed publications in statistics, probability, or applied statistical modelling.
• Previous AI Tutoring experience and/or experience teaching college-level statistics courses.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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Key responsibilities include leading incisive discovery to uncover business problems, quantifying impact, and aligning stakeholders on an Intercom value narrative. You will deliver compelling product demos and evaluations that showcase the Intercom Suite, including our Fin AI agent, tailored to each customer's goals and constraints. You will navigate procurement, security, and legal processes with support from cross-functional partners; keep deals moving with clear next steps and timelines.

To succeed in this role, you will need to forecast accurately, maintain crisp CRM hygiene, and communicate risks and upside with clarity. You will influence the product roadmap by sharing structured market feedback and customer insights. You will champion Intercom's values in every interaction with customers and teammates.

Required skills include 2+ years closing new business in B2B SaaS, ideally with SMB customers and familiarity with running larger deals +100k-200k ARR. You should have a consistent track record of exceeding quota with strong opportunity management, multi-threading, ROI modelling and deal execution. Exceptional discovery, storytelling, and demo skills grounded in business value and outcomes are essential.

You should be skilled at generating pipeline through outbound and partner-led motions in tandem with SDRs/Marketing. Adept at running structured evaluations and managing commercial processes (pricing, redlines, security) is also required. Proficient with modern CRM and sales productivity tools; strong written and verbal communication skills are necessary. Experience with MEDDPICC or similar sales methodologies is a plus.

Nice to have: experience selling customer service, helpdesk, AI, or messaging solutions; interest in the broader support-tech ecosystem. Fluency in French is required.

As an Account Executive, Commercial - French Speaking, you will be successful here by ramping quickly and building a high-quality pipeline aligned to territory priorities. You will deliver predictable, on-target performance with disciplined forecasting and stage progression. You will earn trust with prospects through thoughtful discovery, tailored evaluations, and crisp follow-through.

You will be a great teammate – share learnings, collaborate generously, and raise the bar for our team and our customers. Curiosity and a passion for learning and upskilling are essential in this role, as AI has changed the sales landscape.

Benefits include competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews – we reward great work! Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too . MacBooks are our standard, but we also offer Windows for certain roles when needed.

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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.

Staff Security Engineer

Okta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.

At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we’re looking for lifelong learners and people who can make us better with their unique experiences.

Join our team! We’re building a world where Identity belongs to you.

Responsibilities

The Staff Security Engineer is a key role for strengthening the organisation's security posture. You'll be responsible for performing security assessments of third-party integrations and connected apps, with a focus on mitigating API-related security risks. This position is vital for ensuring a 'secure-by-design' approach for critical systems within the organisation.

What You Will Do

• Lead Technical Security Reviews: Perform in-depth security reviews and threat modelling for complex enterprise applications and third-party integrations.

• Operationalize AI for Security: Take the lead in deploying and managing AI for Security use cases, such as integration security reviews, to automate and scale security operations.

• Risk Analysis & Documentation: Analyse and document API permissions and risk levels for major integrations (e.g., Salesforce, Slack, Google) to ensure they meet internal standards.

• Develop Workflow Processes: Collaborate with stakeholders to design and implement repeatable security review workflows, such as the Salesforce API Integration Review.

• Vulnerability & Control Gap Mitigation: Identify potential vulnerabilities and security control gaps in connected apps and recommend technical mitigation strategies to stakeholders.

• Report & Visualize Posture: Contribute to and maintain metrics and dashboards that demonstrate the organisation's overall security posture for leadership.

What You Bring

• Deep Technical Expertise: Proven experience in information security, specifically within application and enterprise security domains.

• API & Integration Specialist: Strong background in assessing and mitigating risks associated with third-party APIs and connected application ecosystems.

• Advanced Security Principles: Understanding of 'secure-by-design' principles and the 'least privilege' model.

• Practical Threat Modelling: Hands-on experience identifying attack vectors and conducting risk assessments for complex systems.

• Tooling & AI Proficiency: Experience working with security platforms for analysing application permissions and an interest or background in applying AI to streamline security tasks.

• Collaborative Influencer: Exceptional communication skills with a track record of aligning multiple teams toward shared security goals.

• Education: A Bachelor's degree in Computer Science, information security, or a related field.

Benefits

In addition to the annual base salary range for this position, Okta offers equity (where applicable), bonus, and benefits, including health, dental, and vision insurance, RRSP with a match, healthcare spending, telemedicine, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies.

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Responsibilities:

• Daily responsibilities will span advertising measurement execution, measurement strategy, client consultation, vendor relationships, and working closely with Reddit's sales, product, and product marketing teams.
• Leverage measurement results to drive business growth for our clients.
• Develop and execute mutual learning plans with clients in order to co-develop Reddit best practices.
• Work and consult across a breadth of measurement types including brand lift, conversion/sales lift, multi-touch attribution, and media mix modeling.
• Work with measurement vendors and with advertisers' internal analytics teams to understand methodologies and consult with clients on their impact on Reddit.
• Support our go-to-market teams with your measurement expertise, industry knowledge, and insights.

Qualifications:

• 8+ years of experience in advertising or analytics at a research vendor, measurement company, social media platform, media owner, client, or agency partner – with at least 1 of those years working in digital advertising.
• Familiarity with attitudinal survey research, offline and online sales/ROI measurement, impression/attribution/conversion tracking, multi-touch attribution (MTA), and media mix modelling (MMM).
• Knowledge of North America Measurement solutions, vendors, and norms.
• A knowledge of experimentation and familiarity with the underlying statistical methods.
• A strong background in the execution, analysis, and presentation of quantitative advertising research.
• Experience working closely with and developing relationships with analytics professionals at advertisers and advertising agencies.
• Experience working with measurement vendors, product management, and product marketing teams to bring new services and capabilities to life at a technology company.
• A working knowledge of advertising technology, including ad serving, targeting, optimization, and relevant data flows.
• Exceptional written and oral communication skills – you’re articulate and engaging.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs.
• 401k with Employer Match.
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support.
• Family Planning Support.
• Gender-Affirming Care.
• Mental Health & Coaching Benefits.
• Flexible Vacation & Paid Volunteer Time Off.
• Generous Paid Parental Leave.

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We are seeking a high-performing, self-sufficient Finance Manager to join our Data Center Finance team. The Finance Manager will support the Data Center Finance Lead, Head of FP&A, and other stakeholders to support, analyse, and improve the core operational models and metrics used to drive the rapid scaling of the business. This person will work cross-functionally with a variety of stakeholders at all levels of CoreWeave and have frequent opportunities to interact with and support key executive level decision makers.

Key responsibilities include:

• Data Center OpEx Planning & Forecasting: Own end-to-end financial planning processes for data center expenses related to leases, power, equipment financing, and general operating expenses.

• Data Center Power Planning & Forecasting: Build and maintain various forecasts related to our global power footprint including power deployment timing and alignment with capacity planning timelines.

• Financial Planning and Analysis: Drive monthly, quarterly, and annual budget reviews and variance analyses. Provide actionable insights to senior leadership through dashboards and reporting. Support long-range planning and scenario modelling for strategic investment decisions.

• Financial Reporting: Analyse and present financial reports to senior management, ensuring accuracy and compliance with company policies and regulatory requirements.

• Strategic Partnership: Collaborate with operations, capacity planning, and power and sustainability teams to develop and implement strategies that support business objectives and enhance financial performance.

• Cost Optimisation: Partner with various teams to optimise expenses related to recurring data center expenses.

• Cross-Functional Collaboration: Work closely with other departments, including data center operations, capacity planning, and sales, to support overall business goals.

The ideal candidate will have 5+ years of experience in FP&A, corporate finance, investment banking, private equity, asset management or similar roles. They will possess strong financial modelling skills, advanced Excel, and familiarity with tools like NetSuite or Tableau. They will also be able to thrive in an extremely fast-paced, ambiguous environment and have a high level of self-sufficiency with proven success at self-teaching and a high intellectual motor.

Benefits include a competitive salary range of $115,000 - $168,000, a discretionary bonus, equity awards, and a comprehensive benefits programme (all based on eligibility).

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We're looking for a Planning Analyst who thrives at the intersection of digital and the physical hardware world. You'll design and implement data models, workflows, and analytical tools that directly improve operational performance,enabling Anduril to plan more effectively at scale.

Responsibilities

• Partner with Planning leadership and Anduril's Analytics team to build secure, timely, and extensible ontologies for domains such as Supply Chain, Manufacturing, and Finance.
• Develop reporting and data applications that provide near real-time visibility into planning KPIs, including forecast accuracy, fill rates, and inventory turns.
• Conduct ad-hoc analyses on demand signals, inventory strategies, and supply risk, delivering insights that balance service levels with profitability.
• Run scenario planning and sensitivity analyses to evaluate the impact of market or contract volatility on operational outcomes.
• Collaborate with Analytics engineers to generalise planning workflows and data products across Anduril's production and sustainment organisations.
• Act as a subject matter expert for planning tools and systems, supporting upgrades, enhancements, and best practice adoption.
• Become a trusted resource for leadership by helping them run their organisations more effectively through data-driven insights.

Requirements

• 3+ years of experience in an analytics-focused role (Analytics Engineer, Data Engineer, or Analyst/Consultant with strong supply chain or operations background).
• Strong operational instincts and a track record of owning complex, ambiguous planning problems from start to finish.
• Ability to think strategically and execute tactically.
• Data-driven mindset and ability to turn analytics into action.
• Systems fluency, with experience working across ERP platforms (e.g., NetSuite, SAP, Oracle).
• Cross-functional empathy and ability to understand the needs of engineering, product, deployment, and finance.
• Comfortable with ambiguity and ability to build structure in environments that are scaling fast.
• High ownership, low ego, and value results over credit.
• Ability to anticipate friction before it happens and proactively work to prevent issues rather than react to them.
• Demonstrated experience building and owning processes and ontologies in a fast-paced environment.
• Expert-level SQL skills and proficiency in Python (or other programming languages).
• Experience with BI and analytics tools (Looker, Tableau, Power BI, Palantir Foundry, dbt, Redshift, etc.).
• Strong ability to translate technical models into actionable insights for non-technical stakeholders.
• Self-starter mindset and ability to prioritise velocity and impact.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

XML job scraping automation by YubHub

Your responsibilities will include designing, building, and maintaining high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organisation. You will also build and optimise production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.

In addition, you will take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible. You will also champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.

To succeed in this role, you will need to have 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model. You will also need to have technical stack expertise in SQL (Snowflake), BI visualisation tool (Tableau), and CRM data (Salesforce).

Preferred qualifications include proficiency with scripting (python) & data modelling (dbt), deep understanding of enterprise software sales processes, field operations, and cross-functional GTM mechanics.

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As a Staff Advanced Analyst, you will be a data thought partner to product and business leaders across teams through providing insights, recommendations, and enabling data-informed decisions. You will drive day-to-day analytics and create scalable data tools, identify pain points in travelling and hosting, and work with product leadership to improve experiences for our guest, host, and agent community.

In addition, you will leverage Airbnb's rich and unique data, state-of-the-art machine learning infrastructure, and other central data science tools to build and grow the measurement capacity within the organisation. You will also be deeply involved in the technical details of the various systems we build, and will have the opportunity to collaborate with a strong team of engineers, product managers, designers, and operations agents to achieve shared, cross-functional goals to help keep Airbnb's community safe and trusted.

Key responsibilities include:

• Leading and driving data-driven roadmaps for the CS Safety working groups
• Recommending actionable solutions backed by data and metrics to product and operational problems
• Building and owning an insights and reporting platform that measures and improves the effectiveness of behaviours, product interfaces, and processes across the CS Safety platform and contact centre network
• Performing data modelling of the various entities using tools and frameworks for optimising community and agent experiences
• Defining and evaluating key metrics in an unstructured problem space, including measurement of the ML models that drive product development
• Anticipating emerging safety risks through early-warning indicators, trend analysis, predictive modelling, and scenario planning to assess operational risk
• Influencing data-driven decisions across business verticals in day-to-day via business reviews, scorecards, self-serve portal, OKRs, and planning among others
• Influencing experimentation and measurement strategies; conducting power analyses, defining exit criteria, and using statistical models to improve inference

Requirements include:

• A minimum of 10+ years of industry experience in business analytics and a degree (Masters or PhD) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research)
• Experience supporting safety, risk, Trust & Safety, compliance, or employee wellbeing in high-volume call centre or customer operations environments
• Expert skills in SQL and expert in at least one programming language for data analysis (Python or R)
• Experience with non-experimental causal inference methods, experimentation, and machine learning techniques, ideally in a multi-sided platform setting
• Working knowledge of schema design and high-dimensional data modelling (ETL framework like Airflow)
• Ability to work under conditions of ambiguity in a fast-growth, sometimes uncertain and complex environment
• Comfortable operating independently with minimal planning, direction, and supervision
• Proven track record of influencing senior leaders and driving outcomes

Experience Level: Staff Employment Type: Full-time Workplace Type: Remote Category: Engineering Industry: Technology Salary Range: $176,000-$220,000 USD Required Skills: SQL, Python, R, Machine Learning, Data Analysis, Data Modelling, Causal Inference, Experimentation, Statistical Models Preferred Skills: Data Science, Operations Research, Statistics, Econometrics, Computer Science, Engineering, Mathematics

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In this role, you'll build business intelligence solutions, define and maintain product key performance indicators, and turn usage data into insights that support strategic decisions. This role focuses on GitLab's Platforms sections, an important area that helps ensure GitLab's infrastructure can scale over time. You'll also support our Dedicated offering by exploring usage and behavioural patterns across that deployment type.

In GitLab's all-remote, asynchronous environment, you'll contribute to a transparent, values-driven culture where data storytelling helps teams understand product health and act with confidence.

Responsibilities:

• Collaborate with stakeholders ranging from individual contributor Product Managers to leadership to understand business questions and define the right analytical approach.
• Gather data from multiple sources and connect disparate data points into a clear story about product usage, customer behaviour, and product health.
• Establish reporting for new products and features, including defining metrics and building repeatable analysis that teams can use to track adoption and performance.
• Analyze usage patterns within GitLab's Platforms sections to help teams understand how this area is performing and where improvements may be needed.
• Explore behavioural trends for the Dedicated offering to surface insights that can inform product decisions and the customer experience.
• Partner with UX to better understand user behaviour and support research with quantitative analysis.
• Work with Engineering teams on data collection and instrumentation approaches so product usage can be measured accurately and consistently.
• Collaborate with Analytics Engineers on data modelling needs for reporting and analysis, helping ensure the underlying data supports reliable decision-making.

Requirements:

• Advanced SQL skills and the ability to use data to answer complex product questions with clarity and accuracy.
• Experience building business intelligence visualisations and dashboards, ideally in Tableau or a similar tool.
• Experience working directly with Product and Engineering teams on data creation, instrumentation, and measurement strategy.
• Experience partnering with Data and Analytics Engineering teams to shape data models for reporting and product analysis.
• Strong analytical thinking and the ability to turn product usage data into practical recommendations for stakeholders at different levels.
• Experience conducting and interpreting A/B tests to evaluate product changes and support evidence-based decisions.
• Clear written and verbal communication skills, with the ability to explain complex findings in simple language.
• Comfort working in an all-remote, asynchronous environment and collaborating effectively across functions while staying aligned with GitLab's values.

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At Databricks, we enable data teams to solve the world's toughest problems by building and running the world's best data and AI infrastructure platform.

As a Senior Manager, Infrastructure Data Science, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions.

Key responsibilities include:

• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Promoting a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and supporting the use of data science insights for high-impact, aligned strategies.
• Implementing data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearheading analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.
• Establishing data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentoring and managing a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

We look for candidates with 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies, as well as 5+ years of management experience hiring and developing teams.

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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.

What is the Developer Led Growth (DLG) Team?

At the heart of our mission is a simple goal: to make choosing and integrating authentication a delightful experience for every developer.

We’re the DLG team, essentially Product Led Growth (PLG), but for developers using Auth0. We are a high-impact, multidisciplinary engine that includes Developer Relations, Developer Marketing, our Startup Program, Product Activation and Conversion. We don't just move metrics, we build the journey that turns curious developers into lifelong advocates.

Why This Role?

• Great Visibility: You will provide the analytical backbone for the entire DLG organisation, turning cross-functional data into a unified narrative.

• Autonomy: We trust you to own your domain. This isn't a role for a cog in the machine, you’ll have the freedom to identify opportunities and drive the strategy.

• True Variety: From analysing startup ecosystem trends to optimising conversion funnels, no two weeks will look the same.

• Deep Collaboration: You’ll sit at the intersection of product, marketing, and community, working with stakeholders across the entire company to fuel our growth.

If you’re a curious analyst who thrives in a fast-paced, developer first environment and wants to see their work directly influence how the world’s engineers build, we’d love to meet you.

Responsibilities

• Build and maintain Tableau dashboards and reports related to the DLG business

• Build and maintain DBT models and custom SQL queries to analyse DLG business

• Investigate and understand discrepancies in the data

• Help DLG automate and scale processes, find areas of opportunity for process improvements.

• Analyse A/B experiments and DLG initiatives.

• Collaborate with sales, ops, marketing, finance and product to understand their challenges, dive into the data and share insights that solve business problems.

Qualifications

• +5 years of experience working in data analytics-related fields.

• Bachelor’s degree in math, statistics, computer science, economics or relevant field.

• Strong proficiency in SQL and data modelling: cleaning, modelling and transforming large and complex datasets into usable and trusted models.

• Familiarity with DBT (data build tool), Git and Snowflake data warehouse is preferred.

• Working knowledge of visualisation tools, ideally Tableau, and Google Sheets.

• Ability to analyse data discrepancies and troubleshoot data issues.

• Excellent problem-solving skills with the ability to think critically and translate complex data into actionable insights.

• Familiar with AI tooling, e.g. Copilot, Clay.

• Excellent verbal and written communication skills, with the ability to collaborate with cross-functional teams including technical teams (data engineering) and business users (marketing, product, revenue, etc).

• Stakeholder management and prioritisation skills

Nice to have

• PLG experience

• Experience building and working with AI Agents

• Translating complex developer behaviour into product insights

• AB testing experimentation experience

• Revenue modelling and forecasting knowledge

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: $114,000-$156,200 USD

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As a Senior Manager, you will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. You will promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.

Key responsibilities include:

• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearhead analyses to improve resource utilisation efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimised performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.

Requirements include:

• 10+ years of infrastructure data science, machine learning, advanced analytics experience in high-velocity, high-growth companies.
• 5+ years of management experience hiring and developing teams.
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment.
• Knowledge of statistics and rigorous analytical techniques.
• Experience with data visualisation tools, knowledge of data engineering, data modelling, and big data technologies.
• Leadership skills and experience to lead across functional and organisational lines.
• Strong communication skills to explain and evangelise analytics and data science to executives and the senior management team.
• Bias to action and passion for delivering high-quality data solutions.
• A passion for problem-solving and comfort with ambiguity.
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering).

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.

Zone 1 Pay Range $228,600-$314,250 USD

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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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In this high-impact role, you'll lead the architecture and delivery of enterprise implementations, translating business workflows into scalable, AI-powered systems that accelerate time-to-value and drive long-term adoption. You'll work closely with Engagement Managers, Account teams, and Product to shape the future of how organisations leverage Airtable AI to transform their operations.

Responsibilities

• Architect and deliver paid SOW enterprise Airtable implementations for strategic customers
• Lead scoping and design of Airtable AI solutions during professional services engagements
• Develop repeatable AI solution patterns, including AI workflows, automations, and structured data pipelines
• Establish best practices for data modelling, governance, and AI-enabled workflow design
• Partner with Engagement Managers to scope services engagements and define implementation plans
• Produce solution architecture diagrams, data models, and workflow documentation for enterprise customers
• Drive adoption of Airtable AI capabilities across multiple enterprise implementations
• Provide technical guidance and troubleshoot architectural challenges during implementations
• Collaborate with Product and internal teams to relay AI feature feedback and influence the roadmap

Requirements

• 5+ years of solution architecture, solution engineering, or technical consulting experience for enterprise SaaS platforms
• Strong understanding of data modelling, database design, and governance
• Experience designing workflow automation and operational systems
• Familiarity with AI-enabled SaaS capabilities (LLMs, AI automation, AI-assisted workflows, or AI copilots)
• Ability to translate complex business processes into scalable technical architectures
• Strong stakeholder communication skills across technical and executive audiences
• Experience scoping and delivering enterprise implementations
• Proficiency in process mapping and architecture documentation tools (e.g., Lucidchart, Visio)
• Experience designing AI-driven workflow solutions (LLMs, prompt design, AI agents, AI automation)
• Experience implementing platforms like Airtable, Notion, ServiceNow, Salesforce, Workato, or similar workflow/data systems
• Familiarity with APIs, integrations, and automation frameworks
• Experience with enterprise data governance and security models
• Experience in Professional Services or consulting organisations
• Technical familiarity with scripting or low-code/no-code platforms
• Experience developing repeatable architecture patterns or implementation frameworks

XML job scraping automation by YubHub

You'll design, build, and iterate personalized, automated programs across email, SMS, push, in-app messaging, and other channels to turn curious users into loyal, high-value Grok subscribers , driving engagement, adoption, retention, expansion, and reduced churn.

This role sits at the intersection of growth marketing, product, data, and customer success. You'll combine behavioural insights, segmentation, experimentation, and creative storytelling to measurably increase customer lifetime value, net revenue retention, and overall subscription growth.

Responsibilities:

• Own end-to-end lifecycle strategy and execution: map customer journeys, define key stages (onboarding, activation, habit formation, expansion, renewal, win-back), and build multi-channel automated flows

• Develop and launch high-impact campaigns and nurtures (welcome series, product education, milestone triggers, re-engagement, upsell/cross-sell, churn prevention, and subscription reactivation)

• Build and refine audience segments using behavioural, usage, and subscription data to deliver hyper-personalized experiences

• Partner closely with product, data/analytics, customer success, and engineering teams to align on triggers, messaging, and technical implementation

• Set up, monitor, and optimize experiments (A/B, multivariate) to continuously improve open rates, click-through, conversion, retention, expansion revenue, and churn metrics

• Analyze performance using SQL, Amplitude/Mixpanel, and other tools to identify drop-offs, opportunities, and ROI; report on key KPIs (activation rate, D30/D90 retention, expansion revenue, churn rate, LTV uplift, NRR)

• Collaborate on content creation (copy, creative assets) and ensure brand voice consistency across all lifecycle touchpoints

• Maintain and evolve the lifecycle marketing roadmap in line with product launches, seasonal campaigns, and business priorities

Basic Qualifications:

• 4–7+ years of experience in lifecycle marketing, retention/growth marketing, CRM marketing, or customer marketing (B2C e-commerce, SaaS, fintech, or consumer tech strongly preferred)

• Proven track record owning lifecycle programs that drove measurable improvements in retention, engagement, expansion, or revenue (please share case studies or results in your application)

• Hands-on expertise with marketing automation & CRM platforms (Braze, Iterable, Customer.io, Klaviyo, or similar)

• Strong analytical skills , comfortable writing SQL for cohort analysis, funnel deep-dives, and behavioural metrics

• Experience building and testing multi-channel journeys (email + SMS + push + in-app)

• Excellent copywriting and storytelling skills , you can craft compelling, customer-centric messaging that converts

• Data-driven mindset with a bias for action and rapid iteration

Preferred Skills and Experience:

• Experience with advanced segmentation and personalization using tools like Segment, mParticle, or Census

• Background in product-led growth (PLG) environments or hybrid PLG/subscription models

• Familiarity with loyalty/rewards programs, referral mechanics, or subscription optimization (pricing, billing, upgrades/downgrades)

• Exposure to AI-driven personalization or predictive churn modelling

• Knowledge of web/mobile analytics (Google Analytics 4, Amplitude, Mixpanel) and experimentation platforms (Optimizely, VWO, Eppo)

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In this role, you will leverage your real estate investment expertise, including in fields related but not limited to acquisition underwriting, financial modelling, due diligence, structuring, financing, asset managing, leasing, and budgeting.

You will collaborate with technical teams to refine annotation tools and curate impactful data, ensuring our models effectively capture real-world financial analysis dynamics.

Responsibilities:

• Utilize proprietary software to provide accurate input and labels for real estate investment projects, ensuring high-quality data for AI model training.

• Deliver curated, high-quality data for real estate investment scenarios including but not limited to property acquisition underwriting, secondary fund investments, entity restructurings, hold-sell analysis, cross-sector or cross-entity analysis, leasing and budgeting

• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.

• Assist in designing and improving efficient annotation tools tailored for real estate investment data.

• Select and analyze complex problems in real estate investment fields aligned with your expertise to enhance AI model performance.

• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability

Basic Qualifications:

• Professional experience in real estate investment (i.e., equity, debt, acquisitions, asset management, brokerage, etc.) but with more of a tilt towards investments than asset management

• Proficiency in reading and writing informal and professional English.

• Strong communication, interpersonal, analytical, and organizational skills.

• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.

• Passion for technological advancements and innovation in financial analysis.

Preferred Skills and Experience:

• Relevant professional experience in real estate investment

• Pursuit or completion of relevant certifications (i.e., CFA, CAIA, MBA, MS, etc.)

• Strong understanding of real estate investment metrics (assumptions, outputs) and grasp of financial modelling (Argus experience a plus)

• Comfort with recording audio or video sessions for data collection.

• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations:

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.

• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.

• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.

• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.

• We are unable to provide visa sponsorship.

• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits:

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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We are seeking a skilled Investment Banking - ECM Expert to enhance xAI's AI models by providing high-quality data annotations and inputs tailored to ECM investment banking contexts.

In this role, you will leverage your expertise in equity capital markets transactions, IPOs, follow-on offerings, secondary offerings, underwriting, bookbuilding, prospectus drafting, roadshows, and equity issuance processes to support the training of AI systems.

Responsibilities

• Utilize proprietary software to provide accurate input and labels for ECM investment banking projects, ensuring high-quality data for AI model training.
• Deliver curated, high-quality data for scenarios involving equity capital markets transactions, IPOs, follow-on offerings, secondary offerings, underwriting, bookbuilding, prospectus drafting, roadshows, and equity issuance processes.
• Collaborate with technical staff to support the training of new AI tasks and contribute to the development of innovative technologies.
• Assist in designing and improving efficient annotation tools tailored for ECM investment banking data.
• Select and analyze complex problems in ECM investment banking fields aligned with your expertise to enhance AI model performance.
• Interpret, analyze, and execute tasks based on evolving instructions, maintaining precision and adaptability.

Basic Qualifications

• Professional experience in ECM investment banking or related fields (e.g., ECM analyst, associate, vice president or director in investment banking focused on equity capital markets).
• Proficiency in reading and writing informal and professional English.
• Strong communication, interpersonal, analytical, and organisational skills.
• Excellent reading comprehension and ability to exercise autonomous judgment with limited data.
• Passion for technological advancements and innovation in ECM investment banking.

Preferred Skills and Experience

• Relevant certification or advanced training (e.g., Series 7, Series 63, Series 79, CFA, or similar finance-related certification).
• Experience mentoring or training others in ECM investment banking practices, such as financial modelling, underwriting, bookbuilding, or equity issuance.
• Comfort with recording audio or video sessions for data collection.
• Familiarity with AI or data annotation workflows in a technical setting.

Location and Other Expectations

• Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables.
• Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs.
• For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time.
• We are unable to provide visa sponsorship.
• For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later.

Compensation and Benefits

US based candidates: $45/hour - $100/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process.

Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process.

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You will track and interpret key economic indicators across regions, assess the implications of monetary and fiscal policy decisions, and evaluate how macro trends shape financial markets and risk conditions.

This role sits at the intersection of economics, markets, and strategic decision-making.

You will build forecasts and scenario analyses to understand how shifts in growth, inflation, interest rates, currencies, commodities, and geopolitics may affect asset prices and broader market regimes.

Your work will inform top-down investment views and risk assessments, supporting global macro strategies driven by economic fundamentals rather than individual company analysis.

The ideal candidate is intellectually curious, analytically rigorous, and comfortable working in a fast-moving, high-ownership environment.

Consistent with xAI's flat organisational structure, you are expected to be hands-on, proactive, and able to communicate ideas clearly and concisely to a highly technical and motivated team.

As a Macro Research Analyst, you will contribute directly to this mission by helping the organisation understand large-scale economic systems, feedback loops, and regime shifts that shape global outcomes.

You will structure, analyse, and interpret macroeconomic data across countries and regions, transforming noisy and often incomplete information into coherent economic narratives and testable hypotheses.

Your research will help identify causal relationships, constraints, and second-order effects within complex economic systems,insights that are essential for training, evaluating, and applying advanced AI models to real-world economic and financial questions.

By developing forecasts, scenarios, and risk assessments, you will support xAI's efforts to reason about uncertainty, stress-test assumptions, and evaluate how shocks propagate through global markets and institutions.

Clear communication of your findings will ensure that economic insights are effectively shared across teams, reinforcing xAI's emphasis on rigorous thinking, transparency, and collaborative problem-solving.

In this role, macroeconomic research is not an end in itself, but a tool for advancing deeper understanding.

Your work will help xAI build systems that reason more accurately about economic behaviour, policy trade-offs, and global dynamics,bringing us closer to AI that can meaningfully assist human decision-making at scale.

The Macro Research Analyst will have broad responsibility for analysing global macroeconomic conditions and their implications for financial markets and strategic decision-making.

The scope of the role spans data analysis, economic modelling, and synthesis of macroeconomic developments across multiple regions and asset classes.

The role includes management of ongoing monitoring frameworks for key economic indicators, policy developments, and geopolitical risks.

The analyst will be expected to independently identify emerging themes, develop forward-looking scenarios, and assess how macroeconomic shifts may alter market dynamics, risk exposures, and opportunity sets.

The position requires close collaboration with internal stakeholders, with an emphasis on clear, concise communication of complex economic concepts.

Given xAI's flat organisational structure, the analyst will operate with a high degree of autonomy and accountability, contributing directly to research outputs and strategic discussions rather than functioning in a narrow support capacity.

The scope of the role is intentionally flexible, allowing a high-performing analyst to expand their responsibilities over time by taking ownership of new research areas, developing novel analytical frameworks, and influencing how macroeconomic intelligence is integrated into xAI's broader mission.

Responsibilities:

Monitor and interpret data such as GDP growth, inflation, unemployment rates, interest rates, fiscal/monetary policy, currency movements, commodity prices, and geopolitical events across countries or regions.

Build economic forecasts, scenario analysis, and models to predict how macro forces will affect markets (e.g., how a central bank rate hike might impact equities, bonds, or currencies).

Provide research reports, trade ideas, and recommendations to portfolio managers, traders, or clients. This often informs 'global macro' investment strategies, where decisions are driven primarily by top-down economic views rather than individual company fundamentals.

Identify potential risks (e.g., recessions, currency crises, trade wars) and opportunities arising from economic shifts.

Basic Qualifications:

Strong academic background in economics, finance, mathematics, statistics, or a related quantitative field.

Demonstrated experience in macroeconomic research, global macro investing, economic policy analysis, or a closely related role.

Deep understanding of macroeconomic indicators and frameworks, including growth, inflation, labor markets, monetary and fiscal policy, exchange rates, commodities, and geopolitical dynamics.

Experience building and interpreting economic models, forecasts, and scenario analyses to assess market and policy outcomes.

Ability to synthesise large and complex data sets into clear, structured insights and actionable conclusions.

Strong written and verbal communication skills, with the ability to explain complex economic concepts concisely to both technical and non-technical audiences.

High level of intellectual curiosity and comfort working with uncertainty, incomplete information, and competing hypotheses.

Self-directed, detail-oriented, and capable of operating effectively in a flat organisational structure with minimal oversight.

Proven ability to prioritise effectively, manage multiple research streams, and deliver high-quality work under time constraints.

Preferred Skills and Experience:

3–7 years of experience post-doc.

At least three publications in reputable economics journals (AER, QRE, JPE, Econometrica, etc.) or outlets (The Economist, The Wall Street Journal, Financial Times, etc.).

Prior experience at a global macro hedge fund, asset manager, central bank, international financial institution, policy research organisation, or economic consulting firm.

Strong familiarity with financial markets across multiple asset classes, including rates, FX, equities, and commodities.

Experience producing investment-oriented research, including trade ideas, market commentary, or risk assessments tied to macroeconomic views.

Proficiency with data analysis and modelling tools such as Python, R, MATLAB, or similar quantitative environments.

Experience working with large economic and financial datasets and building repeatable research pipelines.

Ability to evaluate tail risks, regime shifts, and non-linear dynamics in macroeconomic systems.

Interest in applying macroeconomic reasoning to novel problems, including AI-driven applications.

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Position Summary As a Senior iOS Engineer, you will be joining the recently acquired UnifyID team at Prove. This team is building the next generation of user authentication that combines behavioural biometrics from smartphone sensor data, machine learning modelling, and enterprise-grade cloud services. The result is an accurate, frictionless, and secure authentication service that defends against malicious attacks on mobile and web experiences.

Responsibilities

• Hands-on coding, systems analysis, design, and delivery of projects assigned
• Deliver new features, execute on the roadmap and plan for the future
• Enhance our existing iOS SDK for an optimal mobile experience
• Provide thought leadership on industry best practices around design, testing, and security
• Manage the iOS SDK API program and documentation
• Mentor other developers

What We Require

• 5+ years of professional software development experience, preferably in a fast-paced environment
• Strong software development principles, including scalable software and architectural design patterns
• Experience executing on complex features leveraging the power of native iOS SDKs
• Strong knowledge of iOS along with competency using standard libraries
• Experience with evaluating and optimising resource usage, including battery usage
• Bachelor’s degree in computer science or related field/experience preferred
• Experience with Android and/or SaaS a plus
• Experience with low-level system data collection from on-device sensors a plus
• Familiarity with Machine Learning and/or Signal Processing techniques a plus

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Key responsibilities include: Designing tactical autonomy algorithms to enable unmanned aircraft to perform complex missions Developing high-performance software modules that incorporate planning, decision-making, and behaviour execution strategies Implementing and testing behaviour architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios Working at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods Collaborating with cross-functional teams to ensure seamless integration of autonomy solutions on real-world platforms Deploying autonomy capabilities to real platforms and participating in field tests and flight demos Analyzing mission logs and performance data to diagnose failures, optimize behaviour models, and inform iterative development Contributing to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions Supporting defence-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback

Required qualifications include: BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS) Significant background in robotics technologies related to motion planning, behaviour modelling, decision-making, or autonomous system design Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain) Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation Strong problem-solving skills, with the ability to troubleshoot and optimise system performance Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment Ability to obtain a SECRET clearance

Preferred qualifications include: Experience applying ML/RL techniques in autonomy pipelines Background in collaborative behaviours, swarm robotics, or distributed decision-making Familiarity with tactical behaviours for unmanned systems in DoD or government programs Work on behaviours applicable across air, ground, and maritime vehicles Hands-on experience supporting flight demos or live exercises Experience with UCI and OMS Standards

The salary range for this role is $182,720 - $274,080 per year.

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The ideal candidate will possess a deep understanding of sales processes, compensation best practices, and strong leadership skills to manage the end-to-end compensation cycle, specifically within the high-tech industry.

Key responsibilities include:

• Leading the annual review and design process for all sales incentive compensation plans, ensuring alignment with corporate strategy, sales goals, competitive market data, and industry best practices.

• Modelling, analysing, and forecasting the financial impact of proposed compensation plan changes, presenting data-driven recommendations to executive leadership.

• Collaborating with Sales, Finance, HR, and Legal teams to ensure plan feasibility, compliance, and effective rollout.

• Overseeing the end-to-end administration of sales compensation, including territory and quota management, data integrity, calculation, and conflict resolution.

• Managing and optimising the sales compensation process to ensure accurate and efficient compensation calculations.

• Evaluating and leading implementation of a robust, scalable compensation system.

• Developing and maintaining documentation, policies, and procedures related to sales compensation plans and processes.

• Ensuring compliance with all internal policies and external regulations.

• Generating regular and ad-hoc compensation reports and dashboards to provide insights into plan performance, sales effectiveness, and cost of sales.

• Conducting quarterly and annual audits of compensation data and calculations to ensure accuracy and resolve discrepancies.

• Analysing sales attainment, plan effectiveness, and making data-driven recommendations for plan adjustments.

• Serving as the primary subject matter expert on all sales compensation matters, including industry standards and emerging trends.

• Developing and delivering training materials and presentations to educate the sales force and management on compensation plan details and changes.

• Mentoring and guiding junior team members, fostering a culture of accuracy, accountability, and continuous improvement.

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We're hiring a Senior Manager, Strategic Finance to be the VP of FP&A's analytical right-hand and the architect of our long-range financial model. You excel at building dynamic, accurate, scalable 3-statement models grounded in unit economics and operational drivers. You've lived in Excel,investment banking, PE, hedge funds, equity research,and you bring a forward-looking mindset around leveraging cloud tools, automation, and analytics to elevate what modelling can do.

This is the analytical engine of Strategic Finance, with a natural path to Investor Relations as the company scales.

Responsibilities:

• Build the Company's Strategic Financial Model
• Own and build the fully integrated 3-statement model based on unit economics, KPIs, and industry benchmarks
• Lead the long-range plan (LRP) and multi-scenario modelling
• Tie operational drivers,production ramps, R&D, contract timing, GTM,to financial outcomes
• Build valuation frameworks, sensitivities, and investor-grade outputs
• Maintain a forward-looking view on risks, opportunities, and strategic drivers

• Digitise & Scale the Modelling Infrastructure:
• Partner with data engineering and systems teams to evolve models from Excel to modern cloud-based planning tools
• Build modular, scalable structures where Excel is used only for high-value analysis
• Use analytics and automation to reduce manual modelling and increase clarity

• Analyse the Business Like an Investor:
• Benchmark peers in defence, autonomy, robotics, aerospace, and industrial tech
• Build competitor profiles, KPI benchmarks, and market analyses
• Develop a POV on unit economics, efficiency, scale, and profitability
• Support M&A modelling, valuation, and diligence
• Provide clear, strategic insights,not just numbers

• Lead Cash Flow & Liquidity Modelling (with Corporate Finance):
• Build rolling cash forecasts across working capital, inventory, milestone payments, and CapEx
• Model hardware cycles, government payment timing, and program cash curves
• Identify liquidity risks early and shape capital allocation decisions

• Partner Across the Company:
• Work directly with the VP FP&A, CFO, and CEO on forward-looking financial questions
• Translate engineering, program, and operations plans into financial impacts
• Connect short-term forecasting to the LRP
• Present insights that drive decisions and accelerate execution

Requirements:

• Analytical athlete with elite attention to detail
• Clear, structured thinker with strong modelling intuition
• Fast, accurate, and comfortable under pressure
• Curious and forward-looking,always asking “why?”
• Strong communicator who elevates decision quality
• Mission-driven and energised by complex, meaningful problems

Qualifications:

• 8+ years in investment banking, private equity, hedge funds, equity research, or elite financial services
• Best-in-class Excel modeller: integrated 3-statement models, valuations, sensitivities, unit economics, scenario analysis
• Experience analysing defence, aerospace, autonomy, robotics, industrial tech, or HW/SW companies
• Strong command of unit economics and driver-based forecasting
• Experience building LRPs and enterprise valuation frameworks
• Deep cash flow and liquidity modelling expertise
• High proficiency with financial statements and GAAP mechanics
• Systems mindset,comfortable partnering with data/systems teams
• Thrives in fast-moving, high-growth environments

Preferred Qualifications:

• Familiarity with government contract economics and milestone-based revenue
• M&A experience: modelling, valuation, diligence
• Exposure to manufacturing scale, supply chain, and hardware production cycles
• Data fluency: dashboards, financial databases, or BI tools

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Key responsibilities include:

Developing and executing sourcing strategies for critical munitions components and assemblies, balancing cost, risk, and delivery requirements. Building and managing strategic supplier relationships, including sole-source and limited-source vendors, to ensure continuity of supply. Partnering cross-functionally with engineering, program management, legal, and finance to align negotiation strategies with program and business objectives. Driving cost savings and value creation through should-cost analysis, benchmarking, and continuous improvement initiatives. Ensuring compliance with ITAR, EAR, DFARS, and other applicable US government regulations and export controls. Identifying and mitigating supply chain risks, including geopolitical, capacity, and regulatory risks specific to munitions. Leading and developing a high-performing procurement/supply chain team, fostering accountability, collaboration, and execution excellence. Establishing and tracking key performance indicators (KPIs) for supplier performance, cost, quality, and delivery.

Required qualifications include:

Bachelor's degree in Supply Chain, Business, Engineering, or related field (MBA preferred) with 10-15+ years of progressive experience in procurement/supply chain, including significant exposure to defence or munitions programs or Aerospace Programs. Proven experience sourcing and negotiating for munitions or defence-related commodities, with a strong understanding of constrained supply markets, sole-source environments, and lifecycle requirements. Demonstrated expertise in ITAR, EAR, DFARS, and US government contracting requirements, including experience working with export-controlled materials and compliance frameworks. Experience leading teams or influencing cross-functional stakeholders (engineering, legal, finance, program management) in a matrixed environment to achieve business objectives. Strong capability in cost analysis, should-cost modelling, and data-driven decision-making to optimise supplier performance and total cost of ownership. Ability to obtain and maintain a US security clearance, depending on program requirements.

Salary: $160,000 - $240,000 a year.

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This role partners with procurement, logistics, and operations teams to optimize costs, improve efficiency, and drive data-driven decision-making across the supply chain.

Key responsibilities include analysing supply chain costs, developing and maintaining financial models, monitoring key performance indicators, and preparing monthly financial reports.

The ideal candidate will have a Bachelor's degree in finance, accounting, economics, supply chain management, or business administration, and 5-6 years' experience in financial analysis, supply chain, logistics, or operations.

Preferred qualifications include strong financial modelling and forecasting skills, experience with data visualisation tools, and knowledge of supply chain processes and logistics operations.

The salary range for this role is $130,000 - $190,000 per year, with bonus, benefits, and equity included in the offer package.

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In this role, you will shape the propulsion test strategy, direct complex engine and hover test campaigns, and provide technical leadership across the program to ensure safe and rapid development of a next-generation autonomous aircraft.

The ideal candidate brings deep expertise in jet propulsion testing, developmental flight test operations, to include mission control room operations, and high-energy ground testing.

You will work closely with propulsion engineers, flight test teams, autonomy developers, instrumentation specialists, and safety organizations to define test objectives, assess risk, and deliver the data required to advance the aircraft through its test envelope.

This is a high-impact role for a technical leader who thrives in fast-paced, experimental environments and who wants to help define the future of autonomous aviation.

Responsibilities:

• Support engine, hover, static, and integrated propulsion test campaigns for X-BAT including planning, execution, and post-test analysis.
• Advise on propulsion system readiness and define test objectives, test point development, build up approach, success criteria, and instrumentation requirements.
• Develop and review test procedures, hazard analyses, run cards, and safety documentation for high-energy test operations.
• Provide technical oversight during engine runs, hover tests, transition testing, and propulsion-autonomy integration events.
• Serve as a propulsion subject-matter expert during Test Readiness Reviews (TRRs), Test Hazard Analyses (THAs), and Operational Risk Management (ORM) assessments
• Support root-cause investigations related to propulsion performance, engine controls, thermal behavior, vibration, and integration issues.
• Partner with Autonomy and Avionics teams to evaluate propulsion-related interactions such as thrust control logic, response lags, fail-safes, and emergency behaviours.
• Collaborate with Instrumentation Engineering to ensure data quality, test post process analysis, reporting, timing, and fidelity across propulsion channels.
• Support field deployments, remote test sites, and intensive test cycles as required to meet program schedules.

Qualifications:

• Bachelor's degree in Aerospace Engineering, Mechanical Engineering, or related technical discipline.
• 8+ years of experience in propulsion testing for jet engines, VTOL systems, unmanned aircraft, or developmental flight test programs.
• Demonstrated expertise executing and analysing engine tests, hover/transition events, and integrated propulsion-airframe testing.
• Strong understanding of engine controls, FADEC systems, thrust measurement, thermal analysis, and vibration/loads behaviour.
• Experience writing and reviewing high-energy test procedures, readiness documentation, and hazard analyses.
• Proven ability to operate safely and decisively in fast-paced test environments.
• Excellent communication skills and demonstrated performance in multidisciplinary engineering organisations.
• Ability to travel and support extended field test deployments.

Preferred Qualifications:

• Master's degree or higher in Aerospace or Mechanical Engineering.
• Experience with tail-sitter, VTOL, or thrust-vectoring propulsion systems.
• Background in autonomy-powered aircraft, propulsion-system modelling, or propulsion-flight-control integration.
• Familiarity with IRIG, PCM, instrumentation requirements, and high-rate telemetry data.
• Experience supporting complex investigations or leading propulsion technical review boards.
• Prior involvement in developmental or experimental flight test programmes.
• Experience with compressed-air starts, engine-health monitoring systems, or high-temperature structural analysis.

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This role is heavily weighted toward detection engineering. You should think in terms of adversary behaviour and telemetry coverage, not just alert triage. You'll own detections end-to-end: from identifying gaps in coverage, through designing and testing detection logic, to tuning and validating in production.

Key Responsibilities:

• Design, build, test, and tune high-fidelity detection rules and analytic queries across endpoint, cloud, network, identity, and DLP telemetry sources

• Develop and maintain detection content using detection-as-code practices including version-controlled logic, automated testing, and CI/CD deployment

• Map detection coverage to MITRE ATT&CK, identify gaps, and prioritise new detection development based on threat intelligence and business risk

• Engineer correlation rules, behavioural analytics, and anomaly-based detections that minimise false positives while surfacing real adversary tradecraft

• Own the detection lifecycle from initial development through production tuning, performance monitoring, and retirement

• Build and operate pipelines to ingest, normalise, enrich, and manage security telemetry at scale across diverse data sources, using Terraform and infrastructure-as-code practices to deploy and maintain logging and detection infrastructure

• Design and maintain log collection, parsing, and enrichment configurations that ensure the right telemetry is available at the right fidelity for detection and investigation

• Evaluate and onboard new telemetry sources as Saronic's infrastructure and threat landscape evolve

• Monitor pipeline health, data quality, and ingestion reliability to ensure detections operate on complete and accurate data

• Develop and manage automated response playbooks in SOAR platforms to accelerate containment and reduce analyst toil

• Build automation that enriches alerts with contextual data, reducing investigation time and improving analyst decision-making

• Support incident response efforts and translate lessons learned into improved detections and playbooks

• Partner with SOC analysts, Cloud Security, Product Security, and IT teams to close visibility and detection gaps across environments

• Collaborate with threat intelligence to ensure detection engineering is informed by current adversary TTPs relevant to defence, maritime, and autonomous systems

Required Qualifications:

• 3+ years of hands-on experience in detection engineering, security operations, security automation, or a closely related security engineering role

• Demonstrated experience designing, testing, and tuning detection rules and analytic queries across production security telemetry (endpoint, cloud, network, identity, or DLP)

• Hands-on experience with SIEM platforms and proficiency with query languages such as SPL, KQL, or equivalent

• Experience building and operating security data pipelines, including log ingestion, normalisation, enrichment, and data quality management

• Understanding of data engineering concepts including ETL pipelines, data modelling, schema design, and indexing as applied to security telemetry

• Hands-on coding experience in Python, PowerShell, Go, or Rust for security automation, detection tooling, or pipeline development, and familiarity with Terraform for managing detection and logging infrastructure as code

• Understanding of MITRE ATT&CK framework and its application to detection coverage and gap analysis

• Ability to obtain and maintain a security clearance

Preferred Qualifications:

• Experience in defence, aerospace, robotics, autonomy, or other high-assurance environments

• Experience with EDR platforms including custom detection rule creation and telemetry analysis

• Experience with cloud-native detection in AWS and Microsoft 365/Azure

• Experience using Terraform to deploy and manage security monitoring infrastructure, log pipeline components, or cloud-native security service configurations

• Hands-on experience with incident response, threat hunting, or adversary emulation

• Exposure to embedded Linux, operational technology, or ICS telemetry and detection

• Familiarity with NIST SP 800-171, NIST SP 800-53, or CMMC and their logging and monitoring requirements

• Relevant certifications such as GCIH, GCIA, GCDA, GSOM, OSDA, or OSCP

Additional Information:

• Benefits: Medical Insurance, Dental and Vision Insurance, Time Off, Parental Leave, Competitive Salary, Retirement Plan, Stock Options, Life and Disability Insurance, Pet Insurance

• This role requires access to export-controlled information or items that require 'U.S. Person' status.

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Job Description:

Before 1965, it was extremely difficult and time-consuming to analyze complicated signals, like radio or images. You could solve it, but you had to throw a ton of compute at it. That all changed with the invention of the Fast Fourier transform, which could efficiently break that signal down into the frequencies that are a part of it.

The Risk Onboarding team is working on efficiently reviewing customers’ applications without compromising on quality. We are the front line of defense for preventing money laundering and financial crimes, building systems to verify that someone is who they say they are and that we are allowed to do business with them.

About Us:

At Mercury, we craft an exceptional banking experience for startups. Our team is focused on ensuring our products create a safe environment that meets the needs of our customers, administrators, and regulators.

Job Responsibilities:

As part of this role, you will:

• Partner with data science & engineering teams to design and deploy ML & Gen AI microservices, primarily focusing on automating reviews
• Work with a full-stack engineering team to embed these services into the overall review experience, including human in the loop, escalations, and feeding human decisions back into the service
• Implement testing, observability, alerting, and disaster recovery for all services
• Implement tracing, performance, and regression testing
• Feel a strong sense of product ownership and actively seek responsibility – we often self-organize on small/medium projects, and we want someone who’s excited to help shape and build Mercury’s future

Ideal Candidate:

The ideal candidate for the role has:

• 7+ years of experience in roles like machine learning engineering, data engineering, backend software engineering, and/or devops
• Expertise with:

• A full modern data stack: Snowflake, dbt, Fivetran, Airbyte, Dagster, Airflow
• SQL, dbt, Python
• OLAP / OLTP data modelling and architecture
• Key-value stores: Redis, dynamoDB, or equivalent
• Streaming / real-time data pipelines: Kinesis, Kafka, Redpanda
• API frameworks: FastAPI, Flask, etc.
• Production ML Service experience
• Working across full-stack development environment, with experience transferable to Haskell, React, and TypeScript

Total Rewards Package:

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Salary Range:

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $200,700 - $250,900
• Canadian employees (any location): CAD 189,700 - 237,100

Diversity & Belonging:

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

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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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The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.

Key responsibilities include:

• Independently pursuing cutting-edge research in AI applied to biological problems
• Building new models or fine-tuning existing models to identify biological changes resulting from disease
• Building models that achieve high accuracy and that generalise robustly to new data
• Applying contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms
• Working closely with ML Engineering partners to ensure that Freenome's computational infrastructure supports optimal model training and iteration
• Taking a mindful, transparent, and humane approach to your work

Requirements include:

• PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics
• 3+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modelling techniques
• Expertise, demonstrated by research publications or industry achievements, in applied machine learning, deep learning and complex data modelling
• Practical and theoretical understanding of fundamental ML models like generalised linear models, kernel machines, decision trees and forests, neural networks
• Practical and theoretical understanding of DL models like large language models or other foundation models
• Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning
• Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data
• Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.
• Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face
• Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases
• Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations
• A passion for innovation and demonstrated initiative in tackling new areas of research

Nice to have qualifications include:

• Deep domain-specific experience in computational biology, genomics, proteomics or a related field
• Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models
• Experience in NGS data analysis and bioinformatic pipelines
• Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS
• Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems

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This role sits at the intersection of business development, market analysis, and product strategy, with direct exposure to institutional counterparties across banks, fintechs, payments companies, crypto-native firms, and global enterprises. You will help turn market signals into actionable GTM initiatives and support live commercial conversations from first outreach through execution.

GTM & Business Development Support

Support outbound and inbound BD efforts across stablecoin issuance, rewards, payments, and treasury use cases. Prepare briefing materials, decks and more for meetings with banks, fintechs, enterprises, and crypto partners. Track active conversations, follow-ups, and next steps across the GTM pipeline. Assist in preparing proposals, one-pagers, and commercial summaries.

Market & Strategic Analysis

Analyse stablecoin markets, competitors, and emerging use cases (payments, FX, treasury, rewards, tokenised cash). Track regulatory developments (e.g., GENIUS Act, MiCA, global frameworks) and summarise GTM implications. Support market sizing, partner prioritisation, and corridor-level analysis (US, LATAM, EU, APAC).

Data, Pricing & Commercials

Build and maintain lightweight models (AUM, volume, bps-based pricing, incentives). Support preparation of commercial structures and internal deal memos. Assist with tracking KPIs tied to issuance, distribution, and partner activity.

Cross-Functional Execution

Coordinate with Product, Compliance, Legal, and Operations to support deal execution. Help ensure GTM initiatives are aligned with regulatory and operational constraints. Support internal documentation and GTM playbooks.

Who You Are Required

1–3 years of experience in consulting, finance, fintech, crypto, strategy, or a high-growth technology company. Strong analytical and structured thinking skills. Clear written and verbal communication. High attention to detail and ability to manage multiple workstreams. Strong interest in stablecoins, payments, or digital asset infrastructure. Comfort with basic financial modelling or spreadsheet analysis.

What You'll Get

Direct mentorship and daily exposure to senior-level GTM and BD execution. Front-row seat to institutional stablecoin adoption and large-scale partnerships. Hands-on experience across strategy, commercial structuring, and execution. Opportunity to grow into a more senior BD, strategy, or product-facing role over time.

Why This Role?

Stablecoins are moving from experimentation to core financial infrastructure. This role offers a unique opportunity to learn how regulated, institutional-grade stablecoin products are launched, distributed, and scaled in the real world.

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Based in Singapore, you will serve as a critical member of our Financial Risk team, responsible for real-time risk monitoring and reporting. You'll be the first line of defence during market dislocations, from crypto exchange failures to black swan events, making time-sensitive decisions that protect the firm's assets and reputation.

This role demands independence, vigilance, and the judgment to know when to act and when to escalate. People make this organisation, and in this role, it is your mission to cultivate and contribute to a culture of risk management, continuous improvement, and strategic innovation.

A healthy outcome is a business that is both agile and resilient, capable of navigating the complexities of the crypto market while achieving its strategic goals.

Technical Skills:

• Drive the development and refinement of risk monitoring frameworks, dashboards, and reporting infrastructure for financial risk.
• Build and maintain quantitative models and analytics to measure market risk, counterparty risk, and liquidity risk across digital asset portfolios.
• Apply expertise in crypto market microstructure to identify emerging risk signals before they materialise into losses.

Complexity and Impact of Work:

• Lead the real-time monitoring of risk exposures across trading and financing with minimal oversight.
• Manage crisis response protocols during systemic risk events, making rapid decisions on risk mitigating actions within established risk appetite.
• Break down complex risk scenarios into actionable intelligence for trading, sales, and senior leadership.
• Capable of providing judgement with limited, imperfect information.

Organisational Knowledge:

• Collaborate closely with Trading, Sales, Compliance, and Operations to ensure risk considerations are embedded in business decisions.
• Deliver daily risk updates to the Financial Risk team and key stakeholders, ensuring transparency and alignment.
• Contribute to the evolution of Anchorage's risk management culture by sharing insights across teams to ensure broad understanding and adoption

Communication and Influence:

• Listen actively to trading and sales requests, applying judgment to balance business needs with risk appetite.
• Contribute clear, actionable risk assessments during high-pressure situations, ensuring stakeholders understand implications and recommended actions.
• Escalate appropriately when situations exceed established thresholds.

You may be a fit for this role if you have:

• 5+ years of experience in financial risk management, market risk, or a related quantitative risk role, ideally with exposure to digital assets or crypto markets.
• Deep expertise in risk monitoring and reporting, including experience building or operating real-time risk dashboards and producing executive-level risk reports.
• Experience navigating market dislocations or crisis events, with demonstrated ability to take decisive risk mitigating actions under pressure.
• Strong understanding of crypto market dynamics, including exchange risk, counterparty risk, liquidity risk, and the unique characteristics of digital asset markets.
• Independent and self-directed work style, with the ability to operate autonomously across time zones while maintaining communication.
• Proficiency in risk modelling tools and data analysis (Python, SQL, or similar).

Although not a requirement, bonus points if:

• You have direct experience at a crypto exchange or crypto-native financial institution.
• You've operated through a major crypto crisis event (e.g., exchange failure, stablecoin depeg, market contagion) and can speak to lessons learned.
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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We are seeking a Staff Engineer (Virtual Prototyping) to join our team in Moreira, Porto, Portugal. As a Staff Engineer, you will be responsible for developing and delivering high-performance simulation models for automotive, enterprise, telecommunications, and cloud platforms. You will also configure and bring up complex software stacks and drivers on simulated hardware platforms, collaborate with other development teams, IP owners, third-party suppliers, support engineers, and customers to identify, implement, and deliver solutions.

Key Responsibilities:

• Develop and deliver high-performance simulation models for automotive, enterprise, telecommunications, and cloud platforms.
• Configure and bring up complex software stacks and drivers on simulated hardware platforms.
• Collaborate with other development teams, IP owners, third-party suppliers, support engineers, and customers to identify, implement, and deliver solutions.
• Perform root-cause analysis and debugging across software and hardware boundaries.
• Integrate open-source multimedia and security utilities (e.g., FFmpeg, GStreamer, OpenSSL) into virtual prototypes.
• Enhance pre-silicon Virtual Platforms and models to enable early product development for global clients.

Impact:

• Empower customers to accelerate product development cycles by providing robust virtual prototypes before hardware availability.
• Drive innovation in simulation solutions for next-generation electronic platforms.
• Enhance the quality and reliability of Synopsys' Virtual Prototyping offerings for automotive, enterprise, and cloud markets.
• Facilitate seamless hardware-software integration and validation for global customers.
• Contribute to the advancement of open-source and proprietary technologies in embedded systems.
• Strengthen Synopsys' position as a leader in chip design, verification, and IP integration.

Requirements:

• BS or MS in Computer Science, Electronics, or similar field.
• Strong programming skills, primarily in C and C++.
• Embedded software experience, ideally including Linux OS build, configuration, and debugging.
• Knowledge of IP implementation or driver development (Linux, RTOS, or bare-metal), especially for Virtio, MIPI (CSI/DSI/I3C), Security, DMA, SSI, I2C, or Mobile Storage.
• Strong understanding of hardware-software interaction.
• Experience with open-source build systems such as Buildroot or Yocto.
• Familiarity with open-source multimedia/security utilities such as FFmpeg, GStreamer, and OpenSSL.
• Python programming experience.
• Experience with SystemC and/or transaction-level modelling (TLM).
• Embedded software development on Arm cores/Arm architecture.
• Strong debugging and root-cause analysis skills.

Who You Are:

• Innovative thinker with a passion for technology and continuous learning.
• Collaborative team player, able to work across diverse groups and cultures.
• Effective communicator, adept at translating complex technical concepts to stakeholders.
• Detail-oriented and committed to delivering high-quality solutions.
• Adaptable and resilient in fast-paced, evolving environments.
• Self-motivated, with strong analytical and problem-solving skills.

Rewards and Benefits:

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.

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Applications Engineering, Staff Engineer - Multiphase Flow (f/m)

Madrid, Spain

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Category: EngineeringHire Type: Employee

Job ID 16066Date posted 03/18/2026

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. Join us to transform the future through continuous technological innovation.

You Are:

You are a passionate engineer with deep expertise in Computational Fluid Dynamics (CFD) and multiphase flow simulation, eager to make a meaningful impact in the industrial sector. You thrive in collaborative environments and enjoy engaging with customers to solve complex engineering challenges. Your experience bridges both technical mastery and interpersonal skills, making you a trusted partner in both presales and post-sales activities. You bring a hands-on approach to problem solving and are comfortable translating technical concepts into actionable solutions for diverse audiences. You are motivated by continuous learning and enjoy staying ahead of technological advancements in simulation and engineering. With your strong analytical mindset and commitment to excellence, you see every customer interaction as an opportunity to drive innovation and enhance product adoption. You are excited by the prospect of working in a dynamic team environment, contributing to the growth of Ansys fluids in industry, and being recognized as a thought leader in your field.

What You’ll Be Doing:

• Leading the coordination and execution of all technical activities throughout the lifecycle of a sales opportunity, e.g. technical discovery, negotiation of technical success criteria, product presentations, demonstrations and evaluations.

• As a credible hands-on expert in the customer's application, you will be working with customers to better understand their product development requirements and what they need to improve their performance metrics. You will be addressing application-specific design and simulation requirements by utilizing the relevant Ansys product technologies and platforms that best meet the customer's needs. You will internalize the Synopsys value proposition and convince the customer of the compelling reasons to use Ansys tools.

• Supporting the development of differentiating simulation solutions using the Ansys platform and our products; implement our ons into your customers' design workflows. Expand your expertise and become a recognized expert in your field of application.

• Collaborating with Synopsys Product Development to translate customer requirements into new product features; participate in the testing of new Ansys product releases, develop application best practices

• Supporting the Synopsys Field and Digital Marketing team by developing promotional materials and supporting events, author conference presentations.

• Contributing to and leading professional service deliveries and conducting training classes.

The Impact You Will Have:

• Accelerating the adoption of Ansys multiphase flow solutions across key industrial sectors.

• Enhancing customer satisfaction by delivering expert technical support and innovative solutions.

• Driving technical excellence through the application of advanced simulation methodologies.

• Contributing to the team’s knowledge base and best practices, fostering continuous improvement.

• Building strong relationships with customers, establishing Synopsys as a trusted partner.

• Shaping product development by providing valuable feedback from industry engagements.

What You’ll Need:

• Bachelor, Master or PhD degree in Mechanical, Aerospace engineering or related field.

• Minimum years of professional experience in an engineering software environment: MS+3, PhD+0 (MS+6 or PhD+3 preferred).

• 2 years of experience in application engineering, customer support, or consulting services type customer facing roles using engineering software.

• Demonstrated use of relevant Ansys software or knowledge of other commercial CAE software packages.

• In depth knowledge of one or more Multiphase Fluid Modelling methods (VOF, Eulerian, DPM, SPH, Wall Flim, etc.) in an industrial setting.

• Solid understanding of engineering principles related to fluid dynamics and simulation.

• Ability to create and deliver high quality technical presentations and training materials.

• Experience collaborating with customers and internal teams to solve complex engineering challenges.

• Ability to travel up to 25% of time.

Who You Are:

• Effective communicator, able to engage both technical and non-technical audiences.

• Proactive problem solver with a customer-focused mindset.

• Collaborative team player who thrives in dynamic environments.

• Adaptable and eager to learn new technologies and methodologies.

• Analytical thinker with strong organizational skills.

• Works independently, results-oriented, across teams and organizations.

The Team You’ll Be A Part Of:

You will join a dedicated team of Application Engineers focused on increasing the presence of Ansys multiphase flow solutions within various engineering sectors and industries. The team collaborates closely with customers, product development, and sales to drive technical excellence and growth. Together, you will work to empower customers, deliver innovative solutions, and shape the future of industrial simulation.

Rewards and Benefits:

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.

#AnsysJob

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Key Responsibilities

Monitor and analyse European sales revenues, margins, and profitability by customer, product line, and region on a monthly and quarterly basis. Prepare and present regular sales performance reports to senior management and European Sales leadership. Identify deviations, risks, and opportunities in the sales P&L and provide actionable recommendations to drive performance improvement. Develop and maintain KPI dashboards and reporting tools for the European sales organisation. Lead the annual budgeting and rolling forecast process for European sales volumes, revenues, and contribution margins in close coordination with the Sales and Finance teams. Support business planning cycles with accurate and timely financial data. Manage volume and pricing assumptions in collaboration with Sales Managers and Programme teams. Provide financial analysis and modelling for new business opportunities, RFQ pricing decisions, and contract negotiations. Assess commercial risks and profitability of new customer programmes and annual price change negotiations. Work closely with programme management and product engineering on cost-to-serve and contribution margin analyses. Support price escalation and recovery negotiations with OEM customers. Act as a trusted financial business partner to the European VP of Sales and regional Sales Managers. Collaborate with plant controllers, regional finance teams, and the central APG Finance organisation to ensure consistent financial reporting and data integrity. Present financial analysis and recommendations clearly to both finance and non-finance audiences. Ensure compliance with APG financial policies, internal controls, and reporting standards across sales-related financial activities. Drive continuous improvement in sales controlling processes, tools, and reporting infrastructure. Support internal and external audit requirements related to sales revenues and receivables.

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Key responsibilities include:

• Post-training/instruction tuning state-of-the-art language models, focusing on text-to-text, image/video/audio-to-text modalities and agentic capabilities
• Exploring data, reasoning, and algorithmic solutions to ensure Gemini models are safe and work for everyone
• Improving Gemini's adversarial robustness, with a focus on high-stakes abuse risks
• Designing and maintaining high-quality evaluation protocols to assess model behaviour gaps and headroom related to safety and fairness
• Developing and executing experimental plans to address known gaps or construct entirely new capabilities

To succeed in this role, you should have a PhD in Computer Science or a related field, significant LLM post-training experience, and a track record of publications at top conferences. Experience in reward modelling and reinforcement learning for LLMs instruction tuning, long-range reinforcement learning, safety, fairness, and alignment is an advantage.

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Responsibilities:

• Assume primary responsibility for the capital and liquidity risk management program
• Become a spokesperson for Stripe's credit profile, leading interactions with regulators, financial partners, and other external stakeholders interested in Stripe's financial strength
• Partner with product, finance & strategy, and global partnerships teams to evaluate capital and liquidity implications of new businesses
• Collaborate with tax, accounting, and regulatory legal teams to optimize capital and liquidity efficiency of Stripe's global operating entities
• Work with data science and engineering teams to develop tooling, data management, observability, and analytics to support these efforts

Requirements:

• 10+ years of experience in capital and liquidity management in a regulated banking context, with direct ownership of key components of Basel III-driven capital planning
• Deep knowledge of U.S. banking regulations and their application
• A proven ability to integrate fundamental analysis with applied risk management foundations, either in an accounting or finance discipline
• Demonstrated familiarity with applied statistical techniques and financial modelling principles
• Experience collaborating with data science/engineering teams and facility with large data sets
• Strong written and verbal communications, and comfort leading high-profile presentations
• Track record of strong self-management and ability to handle both high-velocity, short-term deliverables while also progressing longer-term strategic objectives
• Demonstrated curiosity, resilience, problem-solving skills, and desire to contribute to a high-functioning team operating in a dynamic and fast-paced environment

Preferred qualifications include an enthusiastic 'roll up your sleeves' and get things done mindset, the ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment, an inclination to solve problems systematically via infrastructure, automation, and repeatable frameworks, a builder's mindset with a willingness to question assumptions and conventional wisdom, and experience with SQL/Python or a willingness to learn.

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Key responsibilities include:

• Conducting end-to-end assessments of our core banking platform
• Performing code reviews to identify logic flaws and security anti-patterns
• Participating in threat modelling sessions with different teams
• Contextualising technical vulnerabilities into 'Real-World Risk' scenarios
• Collaborating with Infrastructure teams to audit and secure cloud configurations
• Acting as an independent operator within the team, managing your own testing scope and timelines across different business domains
• Providing clear, actionable remediation advice that balances security requirements with engineering velocity

Requirements include:

• 5+ years experience in penetration testing with a focus on cloud native infrastructure, web applications, APIs
• Expert-level proficiency with industry-standard tools and the ability to 'go manual' when scanners fail
• Experience with Cloud Security, specifically AWS/EKS
• Ability to conduct code reviews in multiple languages, primarily Java and Go
• Proven experience in threat modelling
• SDLC knowledge
• Scripting skills

Soft skills include:

• Exceptional written and spoken communication skills
• Self-starting nature
• Ability to work independently while remaining a collaborative partner to the wider engineering team
• Adaptability

Benefits include:

• 25 days holiday (plus take your public holiday allowance whenever works best for you)
• An extra day's holiday for your birthday
• Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off
• 16 hours paid volunteering time a year
• Salary sacrifice, company enhanced pension scheme
• Life insurance at 4x your salary & group income protection
• Private Medical Insurance with VitalityHealth including mental health support and cancer care

About Us

You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion.

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Maintain consistent and clear documentation and communicate with business stakeholders (both technical and non-technical).

Collaborate with the wider data team to help meet the business goals, including peer reviews.

Take ownership of a project end-to-end and manage priorities accordingly.

Our ideal candidate will have strong experience with SQL, experience working within the credit domain, and be a self-starter with the ability to think outside the box.

They will also have good attention to detail, strong experience with Looker or a similar visualisation tool, and strong communication and documentation skills for both technical and non-technical audiences.

As a member of our team, you will have the opportunity to work on a wide range of projects and contribute to the development of our data capabilities.

We offer a competitive salary and benefits package, including 25 days holiday, an extra day's holiday for your birthday, and annual leave increased with length of service.

We are an equal opportunities employer and welcome applications from all qualified candidates.

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Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range.

The Customer Insight team powers customer-centric decision making across Charlotte Tilbury, turning data into the insight that shapes our growth strategy. We bring together customer, digital, trade and market signals to understand how our customers discover, shop and stay loyal to the brand, and how we can serve them better at every step.

The Customer Intelligence Lead is a pivotal role in this team. Reporting to the Head of Customer Insights, you’ll own the day-to-day Customer Intelligence agenda setting priorities, defining how we measure customer performance, and ensuring insight is embedded into key commercial and marketing decisions.

Responsibilities

Shaping and delivering the Customer Intelligence strategy, working with the Head of Customer Insights to define the roadmap, priorities and standards for customer insight.

Owning customer metrics, frameworks and performance reporting, defining and governing KPIs such as acquisition efficiency, retention, loyalty, LTV and churn across channels and markets.

Leading high-impact analysis and advanced analytics, running complex customer analysis, segmentation and propensity/LTV modelling to inform targeting, personalisation and optimisation activity.

Translating insight into strategy and action, turning complex data into clear stories, recommendations and test-and-learn plans for senior stakeholders across CRM, Performance Marketing, Trade, Product and Finance.

Shaping customer data foundations and tooling, partnering with Data Engineering and Data Science to ensure the architecture, data pipelines, models and tools provide a reliable, joined-up view of the customer and robust measurement.

Line management of a Customer Insight Analyst, setting goals, prioritising workload, reviewing outputs and coaching for high performance and continual development.

Who you will work with

Data & AI Team, Digital etc.

About you

Degree in a quantitative/STEM subject (or equivalent experience), with strong exposure to statistics or econometrics.

Extensive experience in customer / marketing / CRM analytics in a consumer-facing business, delivering clear commercial impact.

Advanced SQL and strong data-modelling skills, confident working with large, complex customer and transactional datasets.

Proven track record leading end-to-end insight projects and turning findings into clear recommendations and actions, with high attention to detail and data quality.

Experience managing or mentoring analysts, setting priorities and ensuring high-quality outputs.

Excellent stakeholder management and storytelling skills, comfortable challenging and influencing senior leaders.

Strong commercial acumen, with deep understanding of LTV, churn, acquisition, retention and their link to P&L.

Experience with BI / visualisation tools (e.g. Looker, Tableau) and digital analytics (e.g. Snowplow, GA4).

Experience introducing AI into analytical workflows (we are big believers in AI for productivity and would love to learn from your experience!)

Why join us?

Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves

We’re a hybrid model with flexibility, allowing you to work how best suits you

25 days holiday (plus bank holidays) with an additional day to celebrate your birthday

Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey

Financial security and planning with our pension and life assurance for all

Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues

Bring your furry friend to work with you on our allocated dog friendly days and spaces

And not to forget our generous product discount and gifting!

At Charlotte Tilbury Beauty, our mission is to empower everybody in the world to be the most beautiful version of themselves. We celebrate and support this by encouraging and hiring people with diverse backgrounds, cultures, voices, beliefs, and perspectives into our growing global workforce. By doing so, we better serve our communities, customers, employees - and the candidates that take part in our recruitment process.

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Responsibilities:

• Partner with Verticals PM, engineering, and UX to develop data-driven product strategies
• Translate ambiguous questions into well-defined problems, design experiments, and analyse large complex datasets for insights
• Develop and implement novel, goal-oriented metrics
• Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalise user experience
• Communicate findings & recommendations to stakeholders, including executives
• Champion data-driven culture by feeding user engagement insights back into models
• Collaborate with the GenAI team on model quality and feature adoption
• Act as a technical leader for a global team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work

Requirements:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field
• 5 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL) or 2 years of experience with a Master's degree
• 2 years of work experience identifying opportunities for business/product improvement and then defining/measuring the success of those initiatives
• A bias for action and a relentless drive to build something great
• Strong business acumen and a strategic mindset
• Deep technical expertise
• Exceptional communication and presentation skills
• A collaborative and influential partner
• A commitment to user trust and privacy

Preferred qualifications include a Master's degree in a relevant field and experience working with machine learning and statistical modelling tools.

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You will join the Technical Intelligence (TI) team with a dual mission: to analyse the 'supply side' of the AI revolution (infrastructure and cloud economics) and to provide decisive competitive advantages by monitoring the external Large Model (LM) landscape.

Your insights will directly inform Google's strategic planning, investment decisions, and technical roadmaps, ensuring we anticipate market moves rather than react to them.

As a vital intelligence node for the external AI ecosystem, you will act as the expert on both the AI infrastructure market and competitor activity.

You will analyse how compute power is being financed, built, and priced, while simultaneously synthesising public planning records and industry reports to track the strategies of key industry players.

You will partner closely with Google Cloud (IaaS and Vertex), the Gemini App team, Gemini Research, Google Infrastructure, and Corporate Finance.

The role involves deeply analysing the strategies and roadmaps of key industry players, including major AI labs, Hyperscalers, and specialised NeoClouds.

You will identify forthcoming technical releases, strategic partnerships, and shifts in model architecture.

You will track external resource commitments, including data center footprint expansions, compute cluster acquisitions, and supply chain bottlenecks.

You will estimate future training capabilities across the industry.

You will build financial models for AI competitor pricing structures, burn rates, and unit economics for AI workloads.

You will analyse financing strategies for GPU/TPU acquisition and assess the sustainability of competitor strategies.

You will develop detailed quarterly reports and ad-hoc memos on the state of the global AI compute market and competitive landscape.

You will translate complex technical, business, and supply chain signals into clear narratives for executive leadership.

You will provide data-driven diligence and recommendations to support decisions regarding M&A targets, external compute partnerships, and strategic infrastructure investments.

To succeed in this role, you will require a Bachelor's degree in a quantitative or technical field or equivalent practical experience.

You will need 3+ years of experience in technical / go-to-market product management, equity research, strategic consulting, or competitive intelligence within the technology sector.

You will need experience in financial modelling and analysis, with the ability to estimate costs and unit economics of technical projects.

You will need demonstrated ability to synthesise disparate data sources into coherent strategic insights.

You will need a strong understanding of the Generative AI landscape, including familiarity with Large Language Models (LLMs) and the key industry players.

A CFA or Master's degree in a relevant field would be an advantage.

Solid understanding of the AI hardware ecosystem and/or the Generative AI landscape would also be beneficial.

Direct experience working for a major AI Cloud provider or for an AI lab in a hardware strategy role would be advantageous.

Excellent written and verbal communication skills, with experience presenting high-stakes analysis to senior executives, are essential.

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Key Leadership Responsibilities

• Mentorship & Development: Provide ongoing mentorship, coaching, and professional development opportunities to foster growth and enhance team performance.
• Partnerships: Act as a trusted partner across the organisation, advocating for data-driven decision-making and empowering business units to adopt data products.
• Ownership & Accountability: Assume full accountability for the data science project execution to final integration and outcome assessment, ensuring that your team delivers impactful results on time and within scope.
• Insight Communication: Translate sophisticated analytical insights into actionable recommendations, communicating them to the senior leadership team to advise critical business decisions, with the ability to encourage and influence stakeholders.

Key Technical Responsibilities

• Data Science Best Practices: Drive best practices in A/B-testing, predictive modelling, user clustering and reinforcement learning, to continually set the standard on data science benefit.
• Engineering Best Practices: Be responsible for the implementation of the best software engineering practices for internal tools and ML/RL model development, define software architecture standards, implement code review practices, auto-tests, improve observability, reproducibility and monitoring of ML/RL solutions.
• Infrastructure Ownership: Own the development of analytical frameworks, including A/B testing (using Bayesian Inference and contextual multi-armed bandits techniques) and other data science tooling. Ensuring scalability, accuracy, and reliability across projects.
• Product & Engineering Collaboration: Coordinate integration of analytical solutions into games and platforms, partnering closely with product and engineering to ensure end-to-end solution success.

What we need from you

• Expertise in clustering, predictive modelling, reinforcement learning, and Bayesian statistics.
• PHD or MSc or equivalent experience in Data Science, Computer Science, Statistics, Physics or related field
• 5+ years of Data Science experience with a minimum of 2 years in a leadership role
• Practical experience in software engineering, proven track record in design and development of the customer-facing products
• Experience in ML Ops and deploying machine learning models at scale.
• Proficiency in Python, and familiarity with data processing technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).
• Ability to work on a hybrid work basis requiring at least 3 days a week in our central London office

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Responsibilities

• Support and lead fundraising processes, including project finance, trading credit lines, and other debt facilities and equity.
• Develop and maintain the group's long-term business plan and financial models.
• Manage relationships and complex negotiations with banks, investors, and strategic partners.
• Evaluate strategic opportunities, financial performance, and capital allocation decisions.
• Drive initiatives to optimise costs, working capital, liquidity, and overall cost of capital.
• Support broader finance operations, including financial planning and analysis, tax planning, and corporate structuring.
• Work cross-functionally with teams across the business on high-impact projects.

Requirements

• A STEM degree from a top university.
• 2-5 years of experience in investment banking, consulting, or private equity (top-tier firm).
• Exceptional analytical, modelling, and problem-solving skills.
• Strong communication and negotiation abilities.
• An entrepreneurial mindset and interest in the renewable energy sector.
• An intense work ethic, ownership mentality, and ability to thrive in a fast-moving environment.

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office-based employees

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We are looking for ambitious, analytical graduates to join our London-based consulting team as a Digital Analytics Consultant. This is a varied role that spans across digital strategy, media advisory website architecture, UX analysis and business insights.

As a Digital Analytics Consultant, you will play a key role in delivering data-led projects to multiple big brand clients across industries such as travel, automotive, retail and beauty. These projects will be driven by client objectives relating to data collection, customer acquisition, onsite conversion optimisation and media-mix optimisation. You will be required to promote a customer-centric vision of digital marketing, based on the systematic and methodical use of data to support decisions.

Responsibilities

Within your first year at Fifty-Five, you will be responsible for the following:

• Delivering high quality outcomes for a variety of projects in the Ad Tech and Web Analytics space, working in a client-facing position, supported by a team of technical specialists

• Meeting client requirements within the agreed deadlines, keeping track of the required tasks for each project and liaising with the relevant owners internally and externally; foreseeing and escalating issues / risks as appropriate

• Developing a sharp, operational expertise about web analytics and media-buy topics

• Occasional travel possible, within the UK or abroad

Relevant Experience

• Educated to degree level

• Analytical mindset, keen to apply data to challenges

• Detail oriented, proactive and self-motivated, good organisation is paramount

• Curious and eager to learn, able to challenge and recommend solutions to problems

• Flexible, versatile and works well under pressure

• Collaborative, works well in a team, understands that the sum of our parts is better than the individual

• Strong interest in new marketing technologies & the digital industry

• Interest in working in a small, growing team

• Have the right to work in the UK

Desired Experience

• Masters degree level

• Exposure to working with digital analytics tools (e.g. Google Analytics or Adobe Analytics)

• Knowledge of coding language or modelling tools relevant to data manipulation (e.g. BigQuery, SQL, R, Python, MatLab, Stata)

• Knowledge of dashboarding solutions (e.g. Power BI, Looker, Tableau)

Benefits

• Being part of a multicultural, dynamic and fast-growing team

• Continuous (and certified) training on the digital ecosystem and technologies

• Phone allowance

• Private medical coverage through AXA

• Transport for London travel card allowance - covering 50% of zone 1-2 allowance

• The flexibility to work remotely for part of the week

• 25 days holiday per year, in addition to UK bank and public holidays

• Company pension plan

• Company-sponsored sporting and social activities

• Cyclescheme

Fifty-Five encourages diversity and is committed to guaranteeing equal treatment of all applications, regardless of gender, age, origin, sexual orientation, state of health or political or religious opinion.

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Sr. Consultant - Principal

London

Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You will be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organisation allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset. Are you ready?

About Your Role

As a Senior Consultant / Principal Consultant – Palantir Engineer, you lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments. You operate at the intersection of engineering, data, and consulting, working closely with business and technical stakeholders to translate complex problems into scalable, production-ready solutions. You combine strong hands-on technical skills with a consulting mindset, taking ownership of solution design, implementation, and adoption across organisations.

Your role will include:

• Own the end-to-end delivery of Palantir Foundry–based solutions, from problem definition to production
• Design and implement data pipelines and transformations across diverse data sources
• Model data using Foundry Ontology concepts to support analytics and operational use cases
• Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry
• Collaborate closely with business stakeholders to define requirements, success metrics, and roadmaps
• Support prototyping, productionisation, and scaling of data-driven applications
• Ensure solutions meet requirements for data quality, governance, security, and performance
• Act as a technical advisor within project teams and contribute to best practices

Requirements

What you bring – required

Experience & Seniority

• Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering
• Strong experience delivering client-facing data solutions in complex environments
• Ability to take ownership and work independently in ambiguous problem spaces

Core Data & Analytics Technology Skills

• Strong programming skills in Python and SQL; PySpark experience required
• Hands-on experience with Palantir Foundry, including:
• Pipeline Builder / Code Workbook
• Data integration and transformation
• Ontology modelling and data lineage
• Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses
• Experience working with APIs, databases, and structured / semi-structured data

Engineering & Platform Foundations

• Experience building scalable ETL/ELT pipelines
• Familiarity with CI/CD concepts, testing, and production deployments
• Strong focus on solution quality, maintainability, and performance
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to have

• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with containerisation (Docker, Kubernetes)
• Prior experience as a Palantir FDE or in Foundry-heavy delivery roles
• Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics

Benefits

About your team

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & engineering, Analytics & Data Science.

About Infosys Consulting

Be part of a globally renowned management consulting firm on the front-line of industry disruption and at the cutting edge of technology. We work with market leading brands across sectors. Our culture is inclusive and entrepreneurial. Being a mid-size consultancy within the scale of Infosys gives us the global reach to partner with our clients throughout their transformation journey.

Our core values, IC-LIFE, form a common code that helps us move forward. IC-LIFE stands for Inclusion, Equity and Diversity, Client, Leadership, Integrity, Fairness, and Excellence. To learn more about Infosys Consulting and our values, please visit our careers page.

Within Europe, we are recognised as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths. Infosys is on the Germany’s top employers list for 2023. Management Consulting Magazine named us on their list of Best Firms to Work for. Furthermore, Infosys has been recognised by the Top Employers Institute, a global certification company, for its exceptional standards in employee conditions across Europe for five years in a row.

We offer industry-leading compensation and benefits, along with top training and development opportunities so that you can grow your career and achieve your personal ambitions. Curious to learn more? We’d love to hear from you.... Apply today!

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Are you looking to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our team. You'll be part of an entrepreneurial, high-growth environment of 300,000 employees. Our dynamic organization allows you to work across functional business pillars, contributing your ideas, experiences, diverse thinking, and a strong mindset.

The Team

Our ERP & Platforms practice design and implement transformational and innovative solutions for some of the world's largest organisations. Joining our team means that you'll share a passion for strategy, architecture, and the latest SAP technology. You'll have exposure to strategic projects, you'll be part of a multi-cultural collaborative team, and your great work will be noticed. In this role, you'll be able to see your own ideas transform into breakthrough results – this is an opportunity to make a real difference.

The Role

SAP FI/CO Consultant

• End-to-end business process expertise on the Record to Report Process across GL Account, Budgeting, Forecasting, Financial Modelling
• Deep insights into driving finance efficiencies in the entire RTR value chain and deep expertise working with Commercial, Operation, and other teams to drive efficiencies and automation across Statutory Finance and Management Reporting
• Managing full life cycle implementations of S/4 HANA in the area of SAP Finance and/or Controlling
• Evaluation of business requirements, identification of relevant SAP capabilities and best practices
• Planning, preparation, and execution of Fit-Gap / Fit-to-Standard Workshops
• Solution Design & Adoption for identified GAPs and business process improvement measures
• Ensuring system implementation together with near-/offshore team members
• Sparring partner for the client and project management responsibilities

Requirements

• Have at least 8-10 years of experience in SAP Finance and/or Controlling in the Consumer Products, Retail, and Logistics (CRL) domain.
• Deep expertise into driving finance transformations and efficiencies in the entire RTR value chain and deep expertise working with Commercial, Operation, and other teams to drive efficiencies and automation across Statutory Finance and Management Reporting
• At least 3-5 Full Project Lifecycles of work experience in the area of SAP FI/CO /FSCM or in Business Analyst/Partnering capability
• Profound Finance and Controlling process experience combined with the ability to translate business requirements into system design specifications
• S/4HANA project experience and/or certification or deep business process understanding of finance processes in the CRL domain and integration across modules and departments like commercial, operations, logistics, etc.
• Preferably experienced in international template rollout projects and/or business transformations
• Domain expertise in restructuring, redesigning the Finance function and automating processes, enabling MA headcount cost savings while strengthening accountability across Finance and Operations and other departments/divisions
• Higher education degree in Economics, Information Technology, or equivalent
• Have experience in gathering, validating, synthesizing, documenting, and communicating data and information for a range of audiences
• Have a broad business skill set including stakeholder management, problem-solving, and resilience
• Have excellent interpersonal skills and strong written and verbal communication skills
• Project-related mobility/willingness to travel

Benefits

Infosys Consulting - Europe offers a range of benefits to its employees, including industry-leading compensation and benefits, top training and development opportunities, and a supportive, entrepreneurial work environment. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best.

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You will work hands-on on the design, build, and operationalisation of modern data and analytics solutions. You will contribute across the full lifecycle – from data ingestion and transformation to analytics, machine learning, and production deployment. You will collaborate closely with data engineers, architects, data scientists, and business stakeholders to deliver scalable, reliable, and value-driven data solutions in complex client environments.

Responsibilities

• Apply data science and machine learning techniques to real-world business problems
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Develop and optimise data transformations for analytical and machine learning workloads
• Support the productionisation of data and ML solutions, including monitoring and optimisation

Requirements

• 3–5 years of experience in data engineering, data science, or analytics
• Hands-on experience delivering data and analytics solutions in project-based or client environments
• Strong problem-solving skills and a pragmatic, delivery-oriented mindset

Data Engineering Foundations

• Experience building end-to-end data pipelines (ingestion, transformation, storage)
• Solid understanding of data modelling, data transformations, and feature engineering
• Familiarity with cloud-based data platforms, such as Azure, AWS, or GCP

Applied Data Science & Analytics

• Experience applying statistical analysis and machine learning techniques
• Strong programming skills in Python
• Very good SQL skills and experience working with relational databases

Nice to have

• Experience with streaming technologies (e.g. Kafka, Azure Event Hubs)
• Exposure to GenAI, NLP, time series, or advanced analytics use cases
• Experience with NoSQL databases (e.g. MongoDB, Cosmos DB)

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & Engineering, Analytics & Data Science.

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Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system.

We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.

But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.

Responsibilities

• Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models.
• Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows.
• Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms.
• Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing.
• Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.
• Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space.
• Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively.

Requirements

• Minimum 3 years of engineering experience
• Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
• Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
• Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
• Solid understanding of cloud technologies, containerisation and building scalable AI applications
• Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
• Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
• Experience working with large datasets, particularly in relation to demand and supply forecasting

Benefits

• Competitive salary and an equity sign-on bonus
• Biannual bonus scheme
• Fully expensed tech to match your needs
• Paid annual leave
• Breakfast and dinner allowance for office based employees

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As a Senior Consultant / Principal Consultant – Palantir Engineer, you will lead and deliver end-to-end, data-driven solutions using Palantir Foundry in complex client environments. You will operate at the intersection of engineering, data, and consulting, working closely with business and technical stakeholders to translate complex problems into scalable, production-ready solutions.

Your role will include:

• Own the end-to-end delivery of Palantir Foundry–based solutions, from problem definition to production
• Design and implement data pipelines and transformations across diverse data sources
• Model data using Foundry Ontology concepts to support analytics and operational use cases
• Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry
• Collaborate closely with business stakeholders to define requirements, success metrics, and roadmaps
• Support prototyping, productionisation, and scaling of data-driven applications
• Ensure solutions meet requirements for data quality, governance, security, and performance
• Act as a technical advisor within project teams and contribute to best practices

Requirements

• Proven experience as a Senior Consultant or Principal Consultant in data, analytics, or platform engineering
• Strong experience delivering client-facing data solutions in complex environments
• Ability to take ownership and work independently in ambiguous problem spaces

Core Data & Analytics Technology Skills

• Strong programming skills in Python and SQL; PySpark experience required
• Hands-on experience with Palantir Foundry, including:
• Pipeline Builder / Code Workbook
• Data integration and transformation
• Ontology modelling and data lineage
• Solid understanding of data architectures, including data lakes, lakehouses, and data warehouses
• Experience working with APIs, databases, and structured / semi-structured data

Engineering & Platform Foundations

• Experience building scalable ETL/ELT pipelines
• Familiarity with CI/CD concepts, testing, and production deployments
• Strong focus on solution quality, maintainability, and performance
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience

Nice to have

• Experience with cloud platforms (AWS, Azure, GCP)
• Familiarity with containerisation (Docker, Kubernetes)
• Prior experience as a Palantir FDE or in Foundry-heavy delivery roles
• Domain experience in industries such as Energy, Finance, Public Sector, Healthcare, or Logistics

Language & Mobility

• Very good English skills
• Willingness to travel for project-related work

Benefits

Join our growing Data & Analytics practice and make a difference. In this practice, you will be utilizing the most innovative technological solutions in modern data ecosystem. In this role, you’ll be able to see your own ideas transform into breakthrough results in the areas of Data & Analytics strategy, Data Management & Governance, Data Platforms & engineering, Analytics & Data Science.

About listing company

Infosys Consulting is a globally renowned management consulting firm that is on the front-line of industry disruption. We are a mid-size player with a supportive, entrepreneurial spirit that works with a market-leading brand in every sector, while our parent organization Infosys is a top-5 powerhouse IT brand that is outperforming the market and experiencing rapid growth.

Our consulting business is annually recognized as one of the UK’s top firms by the Financial Times and Forbes due to our client innovations, our cultural diversity and dedicated training and career paths we offer to our consultants. We are committed to fostering an inclusive work culture that inspires everyone to deliver their best.

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The teams we are hiring to are:

• Model Governance Team
• Single Security Pricing Team
• Performance Attribution Team
• Private Markets SWAT Team

While the specific responsibilities vary by team, all positions focus on building robust, scalable technology and quantitative models that support investment decision making, risk management, and regulatory requirements for BlackRock and its global client base.

You will be part of a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE), the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community).

We are passionate about building high quality models to meet the needs of tomorrow and delivering solutions for both BlackRock investment users and over 100 global financial firms. You will have the opportunity to develop in C++, Python or other programming languages, with cutting edge technologies.

Requirements:

• Graduate degree in a technical field (Maths, Statistics, Computer Science and/or Engineering, Finance, Econometrics, Physics)
• Postgraduate degree in a technical field is a plus
• 2+ years of relevant working experience
• Strong programming skills and experience using Python or C++ to conduct statistical/econometric analyses
• Strong knowledge of financial, mathematical, and statistical theory
• Strong oral and written (English language) communication skills that enable complex ideas to be readily understood by team members and clients
• Enthusiasm, flexibility, and maturity to adapt to the needs of a dynamic group and deliver within strict time frame
• Good time management skills including the ability to handle multiple projects
• An ability to translate real business problems into technical solutions
• Ability and willingness to learn fast, multi-task, self-motivate and pick up new things easily.

Good to have:

• Knowledge of Private Markets and/or Performance Attribution modelling background is a plus
• Knowledge of Unix/Linux, Git is a plus
• Stochastic calculus background

Our benefits include 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 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.

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BlackRock's Aladdin Business supports the investment process through the development, deployment and support of our enterprise investment management platform (Aladdin), which is utilised by executives, portfolio management, risk management and operations teams. The Aladdin Business provides strategic advisory and enterprise investment system services for our clients. Our diverse client base is made up of external institutional asset managers, pensions, insurance companies, banks, and governments around the world. Aladdin is the natural evolution of our long-standing investment in developing sophisticated and highly integrated analytics and systems for managing money.

Aladdin Client Engagement is part of the Aladdin Business focused on maximising the value of the Aladdin product through engagement and education and working closely with clients to be their trusted consultant, problem solver, and business partner. This is a client-facing role, and you will be expected to build deep and highly effective partnerships with clients to understand and solve problems. We are seeking someone to bridge institutional client relationship management with expertise in client industry, financial markets, and the Aladdin ecosystem to maximise our value proposition and client outcomes.

Role Overview

The Strategic Relationship Manager (SRM) is a senior, commercially minded relationship owner responsible for driving client satisfaction, strategic account development and revenue growth, across Aladdin and eFront clients in the UK and Ireland. Operating as the face of our client engagement, the SRM develops deep, trusted partnerships with senior stakeholders, identifies opportunities, oversees renewals, and ensures clients realise the full value of their Aladdin investment in close collaboration with partner teams.

Key Responsibilities

• Own and deepen relationships with senior client stakeholders (e.g. COO, CIO, CTO) to understand strategic priorities and lead impactful executive business reviews.

• Develop a deep understanding of clients' business challenges and propose technology solutions that drive measurable value and adoption.

• Partner with clients to define key strategic and tactical initiatives, leveraging a strong internal network to govern and oversee successful cross-functional execution.

• Clearly articulate the purpose, value, and differentiation of the expanding Aladdin and Aladdin Alternatives technology ecosystem.

• Build and maintain a 360-degree view of the account, lead multi-year account planning, and ensure ongoing client health and continuous value realisation.

• Apply a strong commercial lens to all client interactions, assessing strategic relevance, growth potential, and risk.

• Orchestrate internal partner teams to enable seamless client delivery, effectively representing the voice of the client internally.

• Lead consultative, value-based discussions to support harvesting, in close collaboration with product, sales, and delivery teams.

• Stay closely informed on market and industry trends to help clients navigate change and remain ahead of evolving needs.

Qualifications

• Minimum of 6+ years of professional experience in key account management, consulting, or a related role.

• Strong commercial mindset, with the ability to think strategically about value creation and growth.

• Demonstrated knowledge of Public and Private Markets, with a solid understanding of industry dynamics.

• Proven experience working with technology solutions within the financial services or asset management industry.

• Outstanding communication skills, with the ability to explain complex concepts clearly and effectively to diverse audiences.

• Demonstrated leadership capabilities, with a track record of succeeding in complex, matrixed environments.

• Highly organised, resilient, endurant, and proactive, with a strong solution-oriented mindset.

• Collaborative team player, comfortable working across functions, regions, and seniority levels.

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.

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About this role

As a Venture & Growth Debt Analyst, you will play a core role in supporting the underwriting and execution of venture debt transactions, working closely with senior team members across all stages of the investment lifecycle.

Key Responsibilities

• Conduct credit analysis, financial modelling and due diligence to support the underwriting and execution of venture debt transactions
• Perform market research, competitive analysis and management referencing to inform investment decisions
• Prepare investment materials and internal credit documentation to facilitate the transaction process
• Support structuring and negotiation of transaction terms and documentation to ensure successful deal execution
• Assist in managing transaction processes across internal and external stakeholders to ensure timely and effective communication
• Monitor portfolio companies and support ongoing relationship management to ensure the long-term success of investments
• Contribute to quarterly valuations and investor reporting to provide accurate and timely information to stakeholders

Requirements

• Typically 1–3 years’ experience in investment banking, private credit, VC/growth equity, consulting or related roles
• Strong financial modelling and financial statement analysis skills
• High commercial curiosity with interest in high-growth technology and healthcare businesses
• Strong analytical capability and attention to detail
• Clear communicator with strong interpersonal skills
• High integrity and alignment with BlackRock’s fiduciary culture

Our benefits

• 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
• 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.

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We are seeking a dynamic Vice President in Technology Sourcing to join our Global Strategic Sourcing team as an individual contributor, focused on executing high-impact initiatives that reshape our global sourcing landscape and optimize third-party spend across the enterprise.

Business Unit Overview

Our Global Strategic Sourcing team advises and supports business functions on all their supplier-related initiatives, whether they involve supplier identification, evaluation, selection, negotiation, performance management or escalation management. We aim to avoid certain costs, deliver tangible cost reductions, furnish reliable analytical data and insights for improved decision making, and enable a socially responsible and diverse supplier base.

Principal duties

• Strategic Advisory: Serve as a strategic advisor to all levels of management on all matters related to sourcing and procurement, offering insights and recommendations to optimize the vendor portfolio and achieve corporate transformation objectives.
• Sourcing Strategy Development: Conduct rigorous external spend analysis to uncover opportunities for cost optimization. Design and execute comprehensive sourcing strategies to reduce cost, improve delivery resilience, and streamline vendor portfolios through competitive bidding, proofs-of-concepts, demand management, supplier consolidation, and process reengineering efforts that align with the company's overall business goals, ensuring cost-effectiveness, and quality.
• Cross-Functional Collaboration: Work closely with internal stakeholders to align sourcing strategies with enterprise cost targets and transformation goals. Build and manage cross-functional cost optimization programs to drive accountability and transparency in sourcing decisions.
• Supplier Relationship Management: Build and maintain strong relationships with key suppliers, negotiating and drafting favorable terms into contracts, ensuring the highest standards of quality and service.
• Market Analysis: Conduct thorough market research and analysis to identify trends, risks, and opportunities within the supply chain, and prepare PowerPoint decks to support informed sourcing decision-making.
• Risk Management: Identify potential risks within the supply chain and develop mitigation plans to ensure business continuity and minimize disruptions.
• Cost Management: Implement cost-saving initiatives and strategies to reduce overall expenses without compromising on quality or performance.
• People Management: Coach, mentor, and manage indirect reports as necessary.

Experience required

• 8+ years of experience in strategic sourcing or supply chain strategy in a complex, global environment—ideally within financial services, tech, or consulting, with a proven track record of success in a technology-related-related strategic sourcing role.
• Experience negotiating with Big Tech firms such as Microsoft, Oracle, IBM, Broadcom, AWS, Google, SAP, Adobe, Salesforce, Snowflake
• Experience working in or partnering with a Financial Planning and Analytics function or other budget-setting and spend tracking function.
• Exceptional program and stakeholder management skills with a strong bias for execution.
• Strong command of procurement analytics and ability to translate data into actionable insights and persuasive narratives.
• Expertise with category planning, competitive bidding techniques (RFI, RFP, RFQ), creation of business cases, vendor selection, vendor risk due diligence, operations management, and vendor dispute/escalation management.
• Financial modelling skills to build multiple negotiation scenarios, total cost of ownership models, consumption models, and demand forecasts based on spend analytics and other data sources.
• Depth in drafting, redlining, and negotiating global contracts, including experience drafting service level agreements (SLAs). This includes a solid understanding of contract law, including demonstrated ability to understand, interpret and articulate key legal terms in agreements.

Competencies

• Highly strategic thinker with a proactive approach to challenges and opportunities, possessing superior analytical skills, including the ability to translate analyses into negotiation strategies and results
• Strong leadership and interpersonal skills, with the ability to work effectively in a team-oriented environment, eliciting support for key initiatives from senior management and other key stakeholders, by building and delivering clear, well-structured presentations
• Detail-oriented and organized, with a commitment to excellence and continuous improvement.
• Adaptable and resilient, with the ability to thrive in a fast-paced and dynamic business environment and with the willingness to adapt working hours to meet business needs and deadlines, understanding that most of the BlackRock supplier portfolio is comprised of firms based in the United States.
• Proficient MS Office skills, including experience using CoPilot and other AI software products.

Education Requirements

• Bachelor’s Degree, with preferences for Accounting, Finance, Computer Science, Engineering, Economics, Data Science, Operations Research, Technology or Supply Chain Management, or Entrepreneurship.
• Advanced degrees in Business, Engineering, Law, or related areas are a plus.

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 per week in the office, with the option to work remotely on the remaining days.

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Are you ready to contribute to the evolution of our data pipelines for our B2C division? At Future, we are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us.

This is an exciting opportunity for someone who excels in a creative environment, enjoys solving complex data challenges, and is eager to build impactful business insights, for this role you will directly report into the Head of Data Engineering

Responsibilities

• Develop and maintain new/current features of the data platform.
• Responsible for delivery of development projects, including scoping, writing and sizing of stories involved.
• Take ownership of BAU processes, develop area specific domain mastery, and seek means to automate them or reduce their impact.
• Proposes and advocates for changes to reduce risk, cost and overhead.
• Provide appropriate documentation for pipelines developed
• Parameterise pipelines so configuration can be changed easily without having to perform deep changes to the codebase
• Apply appropriate testing principles to ensure code is fit for purpose

Experience

• Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure
• SQL development skills
• Experience using Dataform or dbt
• Demonstrated strength in data modelling, ETL development, and data warehousing
• Knowledge of data management fundamentals and data storage principles
• Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems

What's in it for you

The expected range for this role is £50,000 - £60,000

This is a Hybrid role from our Bath 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
• Wellbeing support with access to our Colleague Assistant Programmes
• Opportunity to purchase shares in Future, with our Share Incentive Plan

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Are you ready to contribute to the evolution of our data pipelines for our B2C division? We are transforming our data-driven decision-making processes and we are looking for a passionate and experienced Data Engineer to join us. This is an exciting opportunity for someone who grows in a creative environment, enjoys solving complex data challenges. You'll report into the Lead Data Engineer for this position and sit within the wider Data Engineer team.

The Data & Business Intelligence team guides our organisation to become more data-driven. Our to market changes gives us a competitive edge. By ensuring visibility of objective performance data, we empower our teams to make rapid, informed decisions that enhance overall performance.

Responsibilities

• Maintain new/current features of the data platform.
• Responsible for delivery of development projects.
• Utilise established software engineering practices and principles.
• Take ownership of BAU processes, develop area specific domain mastery.
• Ensure compliance matters are followed.
• Utilise CI/CD and infrastructure as code (Terraform) for rapid deployment of changes.

Experience

• Experience using Python on Google Cloud Platform for Big Data projects, BigQuery, DataFlow (Apache Beam), Cloud Run Functions, Cloud Run, Cloud Workflows, Cloud Composure.
• SQL development skills.
• Demonstrated strength in data modelling, ETL development, and data warehousing.
• Knowledge of data management fundamentals and data storage principles.
• Familiarity with statistical models or data mining algorithms and practical experience applying these to business problems.

What's in it for you

The expected range for this role is £45,000 - £50,000. This is a Hybrid role from our Bath 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.
• Wellbeing support with access to our Colleague Assistant Programmes.
• Opportunity to purchase shares in Future, with our Share Incentive Plan.

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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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This is a high-impact leadership role combining strategic influence with hands-on analytical depth to deliver reward outcomes that are robust, compliant and commercially aligned.

Key Responsibilities

• Lead the comprehensive delivery of reward operations across pay, incentives, benefits, job evaluation, equity plans and regulatory reporting
• Own job evaluation, grading frameworks and market benchmarking to ensure fair and competitive pay structures
• Manage the full benefits portfolio and equity plans, ensuring compliance and commercial sustainability
• Deliver statutory reporting (including Gender Pay Gap) and maintain strong reward governance
• Provide advanced analytics, modelling and commercial insight to support senior decision-making

What You'll Need to Succeed

• Reward leadership experience within a large, complex organisation
• Deep expertise across compensation, incentives, benefits, job evaluation and regulatory reporting
• Strong analytical capability with advanced Excel and modelling expertise
• Commercial acumen with the ability to influence senior stakeholders
• A collaborative, organised and resilient approach in a fast-moving environment

Why Join?

• A leadership role with genuine enterprise-wide impact
• Strategic exposure and influence at executive level
• Opportunity to evolve and modernise reward frameworks
• A supportive, inclusive and commercially focused culture
• Long-term development within a purpose-driven organisation

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Responsibilities

• Taking ownership of the data relationship with business stakeholders, bridging commercial and product discussions
• Reporting on our baseline performance and trends, keeping our finger on the pulse
• Driving us towards a self-serve first culture
• Reporting on complex experimentation
• Close analyst-stakeholder relationships are the most crucial component of a well-functioning data team, stakeholders should consider you part of their team
• Varied work across data disciplines, e.g. data product design, data modelling, analytical deep-dives, contributing to data science, AI and machine learning projects

What does a great candidate look like

• Demonstrates curiosity and a proactive approach to learning, constantly seeking opportunities to deepen understanding and explore new ideas
• Exhibits a strong desire for ownership and accountability, taking the initiative to drive projects forward and deliver impactful results
• Skilled at translating complex business challenges into actionable data insights, driving meaningful outcomes and business impact
• Excellent communication skills, able to convey ideas clearly and effectively to both technical and non-technical stakeholders
• While recognising the value of experience, greater emphasis is placed on finding the right cultural fit and individual capabilities for the role
• Strives to set high standards and continually seeks opportunities for personal and team growth, fostering an environment of continuous improvement
• Inspired by the prospect of contributing to industry innovation and eager to participate in reimagining the future landscape

Technical Skills

• Proficient in SQL with a proven track record of handling complex data queries and manipulation
• Demonstrable experience with Tableau or similar data visualisation tools, including the ability to create insightful and user-friendly dashboards and reports
• Experience with DBT (Data Build Tool) or similar data transformation technologies, with a keen understanding of data modelling and ETL processes
• A background in statistics and/or programming, with the ability to apply statistical methods and algorithms to extract insights from data, especially surrounding experimentation
• Familiarity with machine learning (ML) and artificial intelligence (AI) techniques, preferably in Python, R, or another programming language, enabling the development and implementation of predictive models and data-driven solutions

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Responsibilities:

• Creation of 3D Character, Vehicle and Environment assets
• Work closely with the Lead Artist to ensure the visual target is met or exceeded
• Work within the engine to preview, iterate, optimize and polish assets to a quality bar and visual direction agreed with stakeholders, while respecting the technical requirements
• Actively participate in technical and aesthetic problem-solving discussions
• Review assets produced by outsource teams and provide technical and aesthetic feedback
• Provide guidance and assistance whenever required to outsourcing vendors
• Maintain a consistent quality of work while staying on schedule
• Help the production team with tasks breakdown, prioritization and assignment among the art team
• Maintain visibility of progress and where areas of production need assistance

Requirements:

• Proven experience as a Character Artist on a shipped AAA or high-quality game project
• Strong portfolio demonstrating Character art fundamentals
• Good anatomical and proportions knowledge
• Organic and hard surface modelling
• Able to work from concepts
• Proficiency with modern game engines (Unreal, Unity or proprietary engines)
• Ability to work collaboratively across disciplines and iterate quickly based on feedback

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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We are seeking a highly skilled Data Scientist III to join our EADP Gameplay Services team. As a Data Scientist III, you will play a key role in analysing complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.

We Are EA

Our platform powers online features for EA’s games, serving millions of users each day. We live, breathe, and dream about how we can make every player’s multiplayer experience memorable. We develop services and SDKs in collaboration with EA’s game studios for matchmaking, stats and leaderboards, achievements, game replays, VOIP, and game networking.

Opportunity Ahead

Our primary mission is to enrich the player’s gaming experience by meticulously optimising the matchmaking process. We believe that effective matchmaking is the cornerstone of any successful multiplayer gaming experience, and we are committed to perfecting this aspect of our service. We continuously reflect and probe various elements to ensure the player’s gaming encounters are both fun and challenging

Key Responsibilities

• Analyse complex matchmaking datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.
• Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.
• Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.
• Own model lifecycle including retraining, validation, performance monitoring, and scalability improvement.
• Define experimentation strategy (A/B testing, causal inference) and measure impact on core gameplay KPIs
• Partner with product, business, and engineering to identify new data acquisition opportunities.
• Create reusable analytical tools, libraries, and metrics that enable data-driven decisions.
• Collaborate with data engineers and software engineer across teams to serve their data needs.
• Evangelise data as a first-class citizen through documentation, standards, and reviews.

Must Have Skills

• Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience)
• 5+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.
• Solid understanding of statistical modelling, including probability distributions, regression analysis, and hypothesis testing.
• Strong understanding of experimentation design and A/B testing frameworks
• Expert proficiency in Python frameworks (PyTorch, Scikit-learn).
• Experience with model monitoring and drift detection
• Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).
• Strong communication skills with the ability to translate complex models into business impact.

Desirable Skills

• Experience in gaming analytics or player behaviour modelling
• Experience building recommendation or ranking systems
• Experience with cloud platforms (AWS/GCP/Azure)

What’s in it for you? Glad you asked!

We love to brag about our great perks like Global fitness program, Sodexo (Food Coupons), Parental Insurance & Medical, Accident & life insurance and since we realise it takes world-class people to make world-class games, we offer competitive compensation packages and a culture that thrives off creativity and individuality. At EA, we live the “work hard/play hard” credo every day.

_About Electronic Arts_

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

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You will have experience developing and establishing scalable, efficient, automated processes for large-scale data analyses. You will also stay informed of the latest trends and research on all aspects of data engineering and analytics.

Key Responsibilities:

• Design, implement and maintain efficient, scalable and robust data pipelines using cloud-native and open-source technologies
• Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from diverse sources
• Automate deployment and monitoring of data workflows using CI/CD best practices
• Guide communications between our users and studio engineers to provide scalable end-to-end solutions
• Promote strategies to improve our data modelling, quality and architecture
• Participate in code reviews, mentor junior engineers, and contribute to team knowledge sharing

Required Qualifications:

• 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions
• Experience in data modelling and tools such as dbt, ETL processes, and data warehousing
• Experience with at least one of the programming languages like Python, Java
• Experience with version control and code review tools such as Git
• Knowledge of latest data pipeline orchestration tools such as Airflow
• Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation)

Nice to Have:

• Experience in gaming and working with its telemetry data or data from similar sources
• Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark, Iceberg
• Experience in developing engineering solutions based on near real-time/streaming dataset
• Exposure to AI/ML, MLOps concepts and collaboration with data science or AI teams.

Pay Transparency - North America

The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs).

Pay Ranges: $100,000 - $139,500 CAD

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Responsibilities:

• Find the fun, inject personality and add narrative into our games through their levels.
• Prototype innovative level and gameplay concepts via 3D modelling, scripting and other tricks of the trade.
• Employ various modelling techniques to block out environments with level progression and the overall game experience in mind.
• Work in close collaboration with the environment artists and game designers, while extending collaboration and bringing solutions to the team across all disciplines.
• Assist in the continued improvement of production pipelines and workflows within the studio.
• Conduct regular playtesting sessions to gather user feedback and subsequent action points.
• Iterate on the gameplay experience to fine-tune it for maximum quality and optimum performance to ultimately ship an incredible product.
• Maintain strong knowledge of trending level design techniques and the capabilities/limitations of these techniques as they relate to project objectives.
• Willingly and regularly share your expertise with peers and expect the same in return.

Requirements:

• Unreal, Unity or Proprietary engines experience.
• At least 1 published AAA title in a proven level design capacity.
• Confident 3D level prototyping & modelling skills across a range of packages i.e. Max. Maya, Unreal etc.
• Experience with gameplay and level/mission design scripting tools akin to Kismet, Unreal Editor, Lua.
• Effective aptitude in basic programming principles, C# knowledge a plus.
• Firm technical ability relative to game engine technologies.
• Expertise in level design concepts and 2D level layouts.
• Be very receptive to direction and feedback while performing well within a collaborative team environment.
• An enthusiastic gamer with an understanding of both level design and effective game design methodologies, with the ability to clearly and passionately communicate this to others.
• Experience or an appetite for 3rd person action adventure games is an advantage

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Responsibilities:

• Support the finance team in their day-to-day activities, including data analysis, financial modelling, and financial planning.
• Assist in the preparation of financial reports, including balance sheets, income statements, and cash flow statements.
• Analyse financial data to identify trends and areas for improvement.
• Develop and maintain financial models to support business decisions.
• Collaborate with other teams, including operations and management, to ensure financial information is accurate and up-to-date.

Benefits:

• Opportunity to work with a leading finance organisation in the motorsport industry.
• Collaborative and dynamic work environment.
• Professional development opportunities.
• Competitive salary and benefits package.

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As a Regional BOM Analyst at Honda, you will apply broad theoretical knowledge in Regional Spec Control Operations. Your primary responsibility will be to manage and administer NA Regional and Global engineering drawings and manufacturing design revision issuance to all North American and Global plants as needed.

Key Accountabilities

Design Change Delivery - BEAM Bill of Material System Setting

• Handle engineering technical records and project information for individual design changes or full BOM design changes
• Review design drawings, confirm part hierarchy and structure changes, and understand inter/intra company part supply relationships
• Interpret regional and global parts supply/install agreements to ensure data is sent to the correct plants
• Understand each model's feature and application list change points
• Configure frame/engine/transmission/differential combination setups and changepoint reconversions
• Apply reason codes by change point to support supplier/factory instruction sheet issuance

Manufacturing Instruction Delivery - BEAM Bill of Material setting

• Handle engineering technical data by configuring part drawing manufacturing change points, confirming part hierarchy, quantity, and application accuracy
• Understand inter/intra company part supply relationships, in-house delivery setups, and regional and global parts supply/install agreements
• Interpret feature and application list change points, configure frame/engine/transmission/differential combination setups, and changepoint reconversions
• Apply reason codes by change point to support instruction sheet issuance and VIN capture
• Determine the need to request supplier or plant supply settings, quantities confirmation, and splitting
• Confirm application at multiple plants and verify originating department content/objective

Export Bill of Material – Mgmt.

• Manage parts supplied from North America to the world
• Communicate with multiple regions for application timing, part color setting, model build process kick-off, and execution
• Address customer inquiries/concerns promptly and professionally to ensure customer satisfaction
• Build customer relationships and teamwork
• Attend and support BOM and New Model meetings with North America International Operations Office (NAIOO) as needed

Communication & Coordination

• Facilitate or support all North America plants/departments with design and engineering Bill of Material clarification and configuration information per Operational Rules
• Support New Model meetings as needed

Business Plan Themes

• Lead or participate in a team that will execute strategic business initiatives
• Theme work may include process maps, calculations of benefits/efficiency, time studies, or multi-department collaboration
• Teams report status monthly/quarterly to management to communicate/share progress on theme

Qualifications, Experience, and Skills

• Bachelor's degree or equivalent relevant experience
• 0-4 years of experience with Part Drawing Control or Engineering Change Management, Supplement experience in Supply Chain, Production Control, or Manufacturing Engineering is a plus
• Recognize and demonstrate knowledge of BOM/Parts List Check procedure
• Recognize and demonstrate knowledge of Specification Notice Procedures issuance/management (D/C and MI)
• Recognize and demonstrate Honda Engineering Standards Knowledge
• Recognize and demonstrate CATIA Knowledge
• Recognize and demonstrate new model development flow knowledge
• Recognize and demonstrate data modelling knowledge
• Recognize and demonstrate product maker layout flow knowledge
• Understand importance of technical data quality accuracy and integration
• Excel (macro knowledge a +), PowerPoint

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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.

About the role

We are looking for a Product Owner, Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.

You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes—including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritise, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modelling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

• Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

• Build and maintain a unified enrichment master—a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

• Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximise coverage, accuracy, and cost efficiency while minimising redundancy

• Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

• Hands-on data manipulation and transformation—write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

• Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

• Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

• Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

• Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact—using metrics to continuously improve the enrichment ecosystem

• Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

• Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

• 10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

• Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

• Strong Salesforce experience (required)—including data modelling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

• Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

• Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities—able to translate business needs into technical requirements and drive execution across cross-functional teams

• Dual data + RevOps mindset—equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimisation

• Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

• Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)

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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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We are looking for a cybersecurity expert to lead our efforts to prevent AI misuse in the cyber domain. As a Cyber Harms Technical Policy Manager, you will lead a team applying deep technical expertise to inform the design of safety systems that detect harmful cyber behaviours and prevent misuse by sophisticated threat actors.

In this role, you will:

• Lead and grow a team of technical specialists focused on cyber threat modelling and evaluation frameworks
• Design and oversee execution of capability evaluations ('evals') to assess the cyber-relevant capabilities of new models
• Create comprehensive cyber threat models, including attack vectors, exploit chains, precursor identification, and weaponization techniques
• Develop and iterate on usage policies that govern responsible use of our models for emerging capabilities and use cases related to cyber harms
• Serve as the primary domain expert on cyber harms, advising cross-functional teams on threat landscapes and mitigation strategies
• Collaborate closely with internal and external threat modelling experts to develop training data for safety systems, and with ML engineers to train these systems, optimising for both robustness against adversarial attacks and low false-positive rates for legitimate security researchers
• Analyse safety system performance in traffic, identifying gaps and proposing improvements
• Conduct regular reviews of existing policies and enforcement systems to identify and address gaps and ambiguities related to cybersecurity risks
• Develop rigorous stress-testing of safeguards against evolving cyber threats and product surfaces
• Partner with Research, Product, Policy, Security Team, and Frontier Red Team to ensure cybersecurity safety is embedded throughout the model development lifecycle
• Translate cybersecurity domain knowledge into actionable safety requirements and clearly articulated policies
• Contribute to external communications, including model cards, blog posts, and policy documents related to cybersecurity safety
• Monitor emerging technologies and threat landscapes for their potential to contribute to new risks and mitigation strategies, and strategically address these
• Mentor and develop team members, fostering a culture of technical excellence and responsible AI development

You may be a good fit if you have:

• An M.S. or PhD in Computer Science, Cybersecurity, or a related technical field, OR equivalent professional experience in offensive or defensive cybersecurity
• 5+ years of hands-on experience in cybersecurity, with deep expertise in areas such as vulnerability research, exploit development, network security, malware analysis, or penetration testing
• 2+ years of experience managing technical teams or leading complex technical projects with multiple stakeholders
• Experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
• Deep expertise in modern cybersecurity, including both offensive techniques (vulnerability research, exploit development, penetration testing, malware analysis) and defensive measures (detection, monitoring, incident response)
• Demonstrated ability to create threat models and translate technical cyber risks into policy frameworks
• Familiarity with responsible disclosure practices, vulnerability coordination, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST Cybersecurity Framework, CWE/CVE systems)
• Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
• Experience developing policies or guidelines at scale, balancing safety concerns with enabling legitimate use cases
• A passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
• Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve
• Track record of translating specialised technical knowledge into actionable safety policies or enforcement guidelines

Preferred Qualifications:

• Background in AI/ML systems, particularly experience with large language models
• Experience developing ML-based security systems or adversarial ML research
• Experience working with defence, intelligence, or security organisations (e.g., NSA, CISA, national labs, security contractors)
• Published security research, disclosed vulnerabilities, or participated in bug bounty programs
• Understanding of Trust & Safety operations and content moderation at scale
• Certifications such as OSCP, OSCE, GXPN, or equivalent demonstrating technical depth
• Understanding of dual-use security research concerns and ethical considerations in AI safety

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We are seeking an experienced Senior Accounts Receivable Analyst to join our Finance team in Dublin, reporting directly to the International Revenue Accounting LEAD in Dublin with a dotted line to the Global Process Owner in the US. In this role, you will be responsible for the day-to-day collection's activities for all EMEA-based customers, ensuring timely cash application and dispute resolution across the region.

Responsibilities:

Collections & Cash Application

• Manage end-to-end collections for EMEA customers, proactively contacting accounts to ensure timely payment in accordance with agreed terms.
• Monitor aging reports daily, prioritise outreach based on balance, risk, and strategic importance, and maintain DSO targets for the EMEA portfolio.
• Ensure accurate and timely cash application, investigating and resolving unapplied or misapplied payments.
• Prepare and distribute customer account statements and payment reminders on a regular cadence.

Dispute Management

• Investigate and resolve billing disputes, short payments, and customer queries in a timely and professional manner.
• Collaborate with Sales, Customer Success, and Legal to resolve complex disputes, including contract interpretation issues and pricing discrepancies.
• Track dispute trends and root causes, providing insights and recommendations to reduce future occurrences.
• Maintain detailed records of all dispute activity and resolutions for audit and reporting purposes.

Cross-Functional Partnership

• Serve as the primary AR point of contact for EMEA Sales and Customer Success teams, providing account-level insights and supporting deal structuring with payment terms guidance to the Credit and Deal Desk teams.
• Partner with Legal on contract terms impacting receivables, including payment clauses, late-payment provisions, and currency considerations.
• Collaborate with Revenue Accounting and FP&A on cash forecasting, revenue recognition support, and month-end close activities.
• Support external audit requirements by preparing AR-related schedules and responding to auditor inquiries.

Global Consistency & Compliance

• Adhere to and champion Anthropic's global credit and collections policies, ensuring EMEA operations are fully aligned with worldwide standards and procedures.
• Maintain key AR performance KPIs (DSO, aging buckets, collections rates, dispute resolution time, etc.) in line with global benchmarks and targets.
• Participate in regular global AR reviews with the US-based team, providing EMEA performance updates and aligning on policy changes or process enhancements.
• Ensure consistent application of payment terms, escalation protocols, and customer communication standards across all EMEA markets in accordance with global guidelines as well as local practices.

Process Improvement & Systems

• Identify opportunities to automate and streamline AR workflows, including collections outreach, cash application, and reporting.
• Contribute to the evaluation, implementation, and optimisation of AR tools and technologies (e.g., ERP systems, collections platforms, dunning automation).
• Maintain AR Policies, procedures & SOX-Compliant controls for the EMEA region, aligned with global standards.
• Manage and update dashboards and reporting to provide visibility into EMEA AR performance, including DSO, aging, and collections effectiveness metrics.

You may be a good fit if you have:

• 7–10 years of progressive experience in accounts receivable or order-to-cash operations, preferably within a high-growth technology or SaaS company.
• Deep expertise in B2B collections across multiple European jurisdictions, with strong knowledge of local payment practices, regulations, and cultural nuances.
• Proficiency with ERP, Billing & Collections systems (e.g., NetSuite, Stripe, Workday, Zuora, Tesorio, HighRadius) and advanced to expert level Excel/Google Sheets skills.
• Strong understanding of IFRS revenue recognition standards and their impact on AR processes.
• Understanding of expected credit loss methodologies (IFRS 9 and CECL) and their application to accounts receivable, including the ability to support reserve calculations and provide data inputs for loss modelling.
• Excellent communication and negotiation skills, with the ability to engage diplomatically with customers at all levels.
• Demonstrated ability to operate within a global framework, adhering to centralized policies and KPI targets while adapting execution to local market requirements.
• Proven ability to work independently, manage competing priorities, and meet deadlines in a fast-paced environment.
• Bachelor’s degree in Finance, Accounting, Business Administration, or a related field.

Strong candidates may have:

• Professional qualification (ACA, ACCA, CIMA) or equivalent certification.
• Familiarity with Salesforce CRM and its integration with billing/AR systems.

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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.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development

• Independently lead small research projects while collaborating with team members on larger initiatives

• Design, run, and analyse scientific experiments to advance our understanding of large language models

• Optimise and scale our training infrastructure to improve efficiency and reliability

• Develop and improve dev tooling to enhance team productivity

• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field

• Strong software engineering skills with a proven track record of building complex systems

• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)

• Familiarity with large-scale machine learning, particularly in the context of language models

• Ability to balance research goals with practical engineering constraints

• Strong problem-solving skills and a results-oriented mindset

• Excellent communication skills and ability to work in a collaborative environment

• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems

• Familiarity with GPUs, Kubernetes, and OS internals

• Experience with language modelling using transformer architectures

• Knowledge of reinforcement learning techniques

• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience

• Are results-oriented with a bias towards flexibility and impact

• Willingly take on tasks outside your job description to support the team

• Enjoy pair programming and collaborative work

• Are eager to learn more about machine learning research

• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects

• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research

• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximise the impact of your insights

• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimising the throughput of novel attention mechanisms

• Comparing compute efficiency of different Transformer variants

• Preparing large-scale datasets for efficient model consumption

• Scaling distributed training jobs to thousands of GPUs

• Designing fault tolerance strategies for our training infrastructure

• Creating interactive visualisations of model internals, such as attention patterns

Benefits:

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

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 https://job-boards.greenhouse.io.

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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.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyse scientific experiments to advance our understanding of large language models
• Optimise and scale our training infrastructure to improve efficiency and reliability
• Develop and improve dev tooling to enhance team productivity
• Contribute to the entire stack, from low-level optimisations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Strong software engineering skills with a proven track record of building complex systems
• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
• Familiarity with large-scale machine learning, particularly in the context of language models
• Ability to balance research goals with practical engineering constraints
• Strong problem-solving skills and a results-oriented mindset
• Excellent communication skills and ability to work in a collaborative environment
• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems
• Familiarity with GPUs, Kubernetes, and OS internals
• Experience with language modelling using transformer architectures
• Knowledge of reinforcement learning techniques
• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience
• Are results-oriented with a bias towards flexibility and impact
• Willingly take on tasks outside your job description to support the team
• Enjoy pair programming and collaborative work
• Are eager to learn more about machine learning research
• Are enthusiastic to work at an organisation that functions as a single, cohesive team pursuing large-scale AI research projects
• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximise the impact of your insights
• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimising the throughput of novel attention mechanisms
• Comparing compute efficiency of different Transformer variants
• Preparing large-scale datasets for efficient model consumption
• Scaling distributed training jobs to thousands of GPUs
• Designing fault tolerance strategies for our training infrastructure
• Creating interactive visualisations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

If you're excited about pushing the boundaries of AI while prioritising safety and ethics, we want to hear from you!

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$350,000 - $850,000USD

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We are seeking a GRC Automation Lead to join our GRC organisation and build the technical foundation for how we scale our risk and compliance programs. In this role, you will lead the team that designs and implements automated workflows, data pipelines, and integrations that transform manual compliance processes into scalable engineering systems.

This is a greenfield opportunity to establish the team, architecture, and integrations that will define how we approach governance, risk, and compliance at Anthropic. The core challenge is a data problem: compliance information lives across dozens of systems—cloud infrastructure, identity providers, HR platforms, ticketing tools, code repositories—and your job is to design systems that bring it together, normalise it, and make it actionable.

At Anthropic, you'll also have a unique advantage: the ability to design AI-powered workflows where Claude acts as an extension of your team, handling tasks that would traditionally require additional headcount or manual effort. You'll need ingenuity to identify where agentic AI can accelerate evidence collection, interpret unstructured data, triage compliance gaps, and augment human judgment in risk assessments.

Working closely with Security, IT, and Engineering teams, you'll translate compliance and regulatory requirements into solutions that support audit programs including SOC 2, ISO, HIPAA, and FedRAMP, building systems that combine traditional automation with AI capabilities to achieve scale that wouldn't otherwise be possible.

Responsibilities:

• Lead the team that establishes foundational GRC processes and architecture. Design and build automated workflows for risk management and compliance, creating scalable systems that enable continuous monitoring as Anthropic grows.

• Build data pipelines that aggregate risk, control, and asset information from across our technology stack. This means solving hard data integration problems: mapping disparate schemas, handling inconsistent data quality, and creating unified views of compliance posture through dashboards and reporting tools.

• Inform GRC platform strategy and implementation: in partnership with other programs, evaluate, select, and deploy tooling that meets our compliance requirements.

• Translate written policies and compliance requirements into policy-as-code—working with Engineering and Security teams to express requirements as enforceable rules, automated checks, and continuous validation rather than static documents.

• Establish feedback loops between policy and implementation: surface where technical controls diverge from written requirements, identify where policies need to evolve based on infrastructure realities, and ensure that compliance requirements are expressed in terms engineers can act on.

• Design and deploy agentic AI workflows that extend team capacity, using Claude to automate evidence analysis, monitor control effectiveness, draft audit responses, interpret policy documents, and handle other tasks that require reasoning over unstructured information.

• Design and maintain integrations connecting GRC tooling with cloud infrastructure, identity management systems, HRIS platforms, ticketing systems, version control, and CI/CD pipelines—working with engineers to implement integrations that enable automated evidence collection and continuous compliance validation.

• Build and lead the GRC Automation function as we scale: hiring team members, establishing practices, and defining the technical roadmap for governance and compliance automation at Anthropic.

You may be a good fit if you:

• Have 3-4+ years of experience managing technical individual contributors or systems-focused teams, with a proven track record of building or scaling small teams (2-5 people) in security, compliance, automation, or operations functions.

• Are a systems thinker first. You understand how complex environments work: how data flows between systems, where integration points exist, what breaks when systems don't talk to each other. Your strength is designing the right architecture and environment for security monitoring, not necessarily implementing it yourself.

• Have 5+ years of experience designing automated workflows, data pipelines, or system integrations, whether through traditional development, low-code platforms, GRC tools, or process automation. We care about your ability to solve integration problems, not your programming language proficiency.

• Proficiency to write production level code in at least one programming language (e.g., Python, Rust, Go)

• Have a relentless focus on data integration: you understand how to pull data from multiple sources, normalise it, join it meaningfully, and surface insights. You're comfortable reasoning about messy, inconsistent data and designing systems that handle edge cases gracefully.

• Understand APIs and integration patterns conceptually: REST APIs, webhooks, authentication flows, polling vs. push architectures, and can evaluate systems based on how well they expose data and support automation, even if you're not writing the integration code yourself.

• Can work independently with minimal guidance, taking ownership of complex problems from design through implementation while managing ambiguity inherent in early-stage programs.

• Have strong analytical and problem-solving skills, with the ability to break down complex problems into manageable parts and develop creative solutions.

• Are able to communicate complex technical ideas to both technical and non-technical stakeholders, with a strong focus on collaboration and teamwork.

• Are passionate about staying up-to-date with industry trends and emerging technologies, with a willingness to learn and adapt to new tools and techniques.

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Responsibilities

• Work closely with our racing team to understand their needs and develop data-driven solutions to improve their performance
• Develop and maintain complex data models and algorithms to analyse and interpret large data sets
• Collaborate with our data engineering team to design and implement data pipelines and architectures
• Communicate complex technical information to non-technical stakeholders, including our racing team and senior management

Requirements

• A strong background in data science, including experience with machine learning and statistical modelling
• Proficiency in programming languages such as Python and R
• Experience with data visualisation tools such as Tableau and Power BI
• Strong communication and interpersonal skills

Benefits

• Competitive salary and benefits package
• Opportunity to work with a highly skilled and experienced team
• Access to cutting-edge technology and resources
• Flexible working hours and remote working options
• Regular social events and team-building activities

Preferred Qualifications

• Experience working in a Formula One team or a similar high-performance environment
• Knowledge of racing strategy and tactics
• Experience with data visualisation tools such as Matplotlib and Seaborn
• Strong understanding of data governance and data quality principles

If you are a highly motivated and skilled Data Scientist looking for a new challenge, please apply now.

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Responsibilities

• Work closely with our racing team to understand their needs and develop data-driven solutions to improve their performance
• Develop and maintain complex data models and algorithms to analyse and interpret large data sets
• Collaborate with our data engineering team to design and implement data pipelines and architectures
• Communicate complex technical information to non-technical stakeholders, including our racing team and senior management

Requirements

• A strong background in data science, including a degree in a relevant field such as mathematics, statistics, or computer science
• Proficiency in programming languages such as Python, R, or SQL
• Experience with data visualisation tools such as Tableau or Power BI
• Strong analytical and problem-solving skills, with the ability to work independently and as part of a team

Benefits

• Competitive salary and benefits package
• Opportunity to work with a world-class racing team and contribute to their success
• Collaborative and dynamic work environment
• Access to cutting-edge technology and tools
• Professional development opportunities

Note: The salary range for this role is competitive and will be discussed in more detail during the interview process.

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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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About the role

As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting-edge challenges in the Generative AI space, with a focus on creating high-quality, expressive and real-time synthetic voices. 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 60,000 businesses.

Responsibilities

• Adapt models for new conditioning inputs (emotion, speed, prosody, speaker control, etc.).
• Fine-tune and optimize speech models using advanced techniques such as DPO (Direct Preference Optimization), LoRA, and other parameter-efficient methods to improve voice quality and expressiveness.
• Implement post-training optimization techniques (quantization, pruning, distillation) to improve efficiency and latency in real-time speech generation.
• Integrate and test novel architectures, such as neural codecs, diffusion, or flow-matching models, to enhance realism and responsiveness.
• Design and implement new evaluation metrics for TTS systems, including automated Mean Opinion Score (MOS) prediction models for continuous quality assessment.
• Stay updated with the latest research in audio diffusion, autoregressive models, neural codecs, and multimodal LLMs.

What we're looking for:

• Strong understanding of generative modelling, ideally applied to sequential or multimodal data.
• Hands-on experience with large language models (LLMs) or similar transformer-based architectures.
• High proficiency in PyTorch, including experience with distributed training and model optimization.
• Solid grasp of time-series modelling and tokenization, preferably in the context of audio or speech.
• Demonstrated ability to prototype quickly, test hypotheses, and iterate efficiently.
• Proven experience in training deep learning models end-to-end, from data preparation to evaluation.
• Strong general software engineering skills, enabling contributions to a large, shared research infrastructure.

Nice-to have experience

• Familiarity with state-of-the-art architectures in audio and speech generation (e.g., diffusion models, neural codecs, flow-matching models, autoregressive decoders).
• Experience with speech-to-speech or text-to-speech (TTS) systems.
• Evidence of original research contributions, such as publications or open-source work in top-tier venues (e.g., ICASSP, Interspeech, NeurIPS, ICML).

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,

Our culture

At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.

Serving 50,000+ customers (and 50% of the Fortune 500)

We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.

Proprietary AI technology

Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.

AI Safety, Ethics and Security

AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.

The good stuff...

• Competitive compensation (salary + stock options + bonus)
• Fully remote from Europe or hybrid work setting with an office in London, Amsterdam, Zurich, Munich
• 25 days of annual leave + public holidays
• Great company culture with the option to join regular planning and socials at our hubs
• + other benefits depending on your location

You can see more about Who we are and How we work here: https://www.synthesia.io/careers

LI-MD1

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We are the Audi Revolut F1 Team.

Audi will compete in the FIA Formula 1 World Championship starting in 2026.

The team has three locations. Audi's Motorsport Competence Center in Neuburg, Germany, is considered one of the most modern of its kind in Europe.

The Formula 1 Factory of Audi Motorsport AG in Hinwil (Switzerland) is known for its innovative technologies and passion for racing.

The Audi Motorsport Technology Centre, UK, is in its launch phase and growing continuously. Our power unit comes from Neuburg, while Hinwil is responsible for chassis development and race operations.

Your mission

• Contribute to the overall CFD process development in an F1 environment
• Have an impact on how CFD technology is used by the whole aerodynamic department
• Improve the CFD physical modelling to increase the accuracy of the prediction
• Work closely with external software providers on specific development projects
• Help us set future directions and trends in advanced CFD methods
• Work in an agile software development team

Your profile

• MSc or PhD in Aerospace Engineering, Mechanical Engineering, Mathematics or a related field with a strong focus on computational fluid dynamics
• At least 3 years of professional experience developing CFD Methods in OpenFOAM
• Previous F1 experience will be considered a plus
• Knowledge of high-Reynolds flows physics and turbulence modelling
• Knowledge of C++ and Python programming languages
• Familiarity with software release, update and deployment techniques
• Experience in parallel computing and high-performance computing (HPC)
• Familiarity with developing software in Linux environments
• Hard-working, independent and reliable
• Self-motivating, responsible and meticulous
• Open to share a continuous learning culture within the team
• Promote a collaborative, respectful and trusting work environment within the team
• Proficiency in English language skills. German language skills will be an advantage

Driven by passion.

Every lap is a statement, every start a promise. This is what defines us.

Take a closer look.

Your browser does not support the video tag.

Explore the R26

Meet the team

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(Senior) Homologation Design Engineer

Full Time

Frankfurt, Germany

Experienced Professional

December 18, 2025

Based in Frankfurt, Hyundai Motorsport GmbH is responsible for Hyundai's global motorsport activities and primarily for its World Rally Championship program. We are currently looking for a Homologation & Design Engineer.

Main tasks

• FIA communication, documentation and data exchange
• FIA Homologation documentation creation, maintenance and updates.
• Homologation regulations
• Planning and Co-ordinating homologation sessions and activities.
• Homologation drawings and pictures
• Homologation project planning and timing,
• Design support and advisory to engineering design activities during development

Qualification

• Engineering degree in Mechanical Engineering, Automotive Engineering or equivalent engineering.
• Background in motorsport homologation requirements and procedures
• 4 years experience in Motorsport Industry min, 7+ years for Senior level.
• Good knowledge of CAD (Catia preferable), surface design and solid modelling experience is a plus
• Knowledge of PLM System (Windchill preferable)
• Ability to complete tasks with minimal guidance and to work under pressure to meet critical deadlines
• Good knowledge of written and spoken English
• French language is a plus
• Self-motivation, proactivity and team playing skills

Our offer

• Secure and long-term employment relationship
• Market and performance-related remuneration
• Training and career development
• Working in an international and dynamic environment
• 30 days vacation per calendar year
• Free parking
• Attractive benefits
• Car leasing options

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The Strategy Support Engineer will support the strategy of the program as required. They are motivated to reach goals and objectives and promote high standards and quality of service. The role requires travelling to race events.

Responsibilities

• Assist as required
• Provide independent advice to the Strategy Lead

Pre Event

• History - Last event and last year
• Tyre modelling - Energy/deg/wear/warmup, by compound/track temp/individual wheel for algorithm
• BOP – summary and sensitivity
• Weather, base numbers, event/track/car
• Overview and software specific, energy save – efficiency, cost/benefit
• Regulation review

Event (Lead Up to Race)

• Assist with information gathering, practice/qualifying plans, briefings and documentation

Practice/Qualifying

• Tyre analysis and modelling
• Tyre strategy overview through the use of different compounds
• Assist with pre-race briefing and documentation

Race

• Preferred option and viable alternatives for race strategy
• Analyse risks and opportunities for possible calls

Post Event

• Numerical Analysis
• Assist with SWG/Management Group Reporting

Requirements

• Hands-on approach with a flexible 'can do' and 'will do' attitude.
• Flexible with workload and tight deadline
• Knowledge of English is required, and notions of German are considered as a bonus
• Pro-active problem solver
• Strong communicator
• Strong organisation and planning capacities
• Promote our values (People, Passion, Performance) and commit to personal investment into the WRT ESG strategy.

Salary and Benefits

The salary for this position is competitive and will be discussed during the interview process. The team also offers a range of benefits, including a comprehensive health insurance package, a pension scheme, and a generous holiday allowance.

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The duties of the Strategy Engineer will include:

Strategy Support

• Assist as required
• Provide independent advice to Strategy Lead

Pre Event

• History - Last Event & Last Year
• Tyre Modelling - Energy/Deg/Wear/Warmup, by Compound/Track Temp/Individual Wheel for Algorithm
• BOP – Summary & Sensitivity
• Weather, base numbers, event/track/car
• Overview & Software Specific, energy eave – efficiency, cost/benefit
• Regulation review

Event (Lead Up to Race)

• Assist with information gathering, practice/qualifying plans, briefings and documentation

Practice/Qualifying

• Tyre Analysis & Modelling
• Tyre strategy overview through the use of different compounds
• Assist with Pre-Race Briefing & Documentation

Race

• Preferred option and viable alternatives for race strategy
• Analyse Risks and opportunities for possible calls

Post Event

• Numerical Analysis
• Assist with SWG/Management Group Reporting

The Strategy Engineer should have the following desired skillset:

• Hands on approach with a flexible “Can Do” & “Will Do” attitude.
• Flexible with workload and tight deadline
• Knowledge of English required, notions of German considered as a bonus.
• Pro-active problem solver
• Strong communicator
• Strong organisation and planning capacities
• Promote are values (People, Passion, Performance) and commit to personal investment into the WRT ESG strategy.

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Microsoft AI are looking for a talented Member of Technical Staff, AI Data to join their MAI Superintelligence Team in London. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As a Member of Technical Staff, AI Data, you will be responsible for designing and developing data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video). You will also build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models. You will partner with the pretraining and post-training teams to improve our data recipe by rigorous and careful experimentation. You will collaborate with the product team and other engineers and researchers across Microsoft AI to identify gaps in the current generation of models.

Accountabilities

• Design and develop data pipelines that ingest enormous amounts of multi-modal training data (text, audio, images, video).
• Build and maintain cutting-edge infrastructure that can store and process the petabytes of data needed to power models.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND experience in business analytics, data science, software development, data modelling or data engineering work OR equivalent experience.

Technical skills:

• Expertise in large scale data engineering ideally applied to AI
• Expertise in Spark, Kubernetes or similar

Personal attributes:

• Passionate about the role of data in large-scale AI model training
• Will thrive in a highly collaborative, fast-paced environment
• High degree of craftsmanship and pay close attention to details

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Access to cutting-edge technology and tools
• Flexible work arrangements

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McLaren Automotive are looking for a talented Interior Design Manager at their Bicester office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising haptic entertainment technology. You'll work directly with leadership to shape the company's direction in the cinema and simulation markets.

About the Role

The purpose of the role of an Interior Design Manager is to lead the design and development of innovative and high-quality future vehicle interiors, blending cutting-edge aesthetic concepts with functional engineering. This individual will be responsible for conceptualising and creating visually compelling, ergonomically efficient, and market-relevant interior designs of both concept and production vehicles. You will collaborate with cross-functional teams, manage a talented group of designers, and ensure that our interiors not only meet customer expectations but also align with brand identity and market trends.

Accountabilities

• Build key relationships and collaborate with cross-functional teams to develop innovative Interior design concepts.
• Work closely with other departments such as engineering, marketing, and manufacturing, ensuring that the interior design aligns with technical feasibility, market positioning, and production requirements.
• Presenting design proposals to internal stakeholders, executives, and external partners, the design manager effectively communicates the rationale behind design decisions and persuasively advocates for their implementation.

The Candidate we're looking for

Experience:

• 5+ years of experience in automotive interior design, engineering, and materials.

Technical skills:

• Advanced Sketching & Visualization: Communicative freehand sketching and digital rendering to explore and communicate designs clearly, and 3D visualization skills alongside Photoshop to produce high-level presentation content visuals.
• 3D Modelling Proficiency: Expertise in software such as Alias or Blender, for creating and exploring concept themes, as well as aiding communication with the CAS modelling team.

Personal attributes:

• Passion for continuous improvement and learning, keeping up-to-date with emerging trends and innovations in technology, design, and the automotive market.
• Ability to articulate complex design ideas, technical challenges, and solutions to both technical and non-technical stakeholders, including senior management and external partners.

Benefits

• Structured career development framework
• 25 days’ holiday, plus bank holiday. Annual buy & sell up to five days
• Enhanced company pension scheme
• Discretionary annual bonus award
• Private medical insurance and health cash plan
• Life assurance benefit
• Ability to apply for a sabbatical of up to one year after only two years’ service
• Benefits you can adapt to your lifestyle, such as discounted shopping
• Generous parental leave policies
• A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice

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McLaren Special Operations are looking for a talented Visualisation Assistant at their Woking office. This role sits at the heart of visualisation, turning client's ideas into reality through the provision of bespoke rendering services. You'll work directly with the visualisation team to deliver high-quality visualisation stills and real-time assets to support and enhance the customer journey.

About the Role

As a Visualisation Assistant, you will be responsible for ensuring all renders are delivered effectively, whilst consistently achieving our departmental SLAs. You will support remote and face-to-face customer specification meetings and events, delivering visualisation assets whilst demonstrating exemplary creativity and attention to detail. You will also liaise with the MSO paint team to take bespoke livery designs from concept to execution, including delivery of accurate vector formats from artwork.

Accountabilities

• Ensuring all renders are delivered effectively, whilst consistently achieving our departmental SLAs
• Support remote and face-to-face customer specification meetings and events, delivering visualisation assets whilst demonstrating exemplary creativity and attention to detail

The Candidate we're looking for

Experience:

• Educated to degree level in Automotive design, 3D Product Design or similar, with relevant experience (ideally automotive)

Technical skills:

• Thorough knowledge of VRED, Adobe Photoshop, Illustrator and InDesign
• Working knowledge of UV mapping, modelling and texturing

Personal attributes:

• Professional and credible ambassador for the McLaren Brand, able to mix confidently with senior dealership personnel, executive management and UHNW customers

Benefits

• Structured career development framework
• 25 days' holiday, plus bank holiday. Annual buy & sell up to five days

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What you'll do

• Lead the global Connected Planning core CoE team, defining standards, design principles, and best practices for Anaplan enabled planning and forecasting
• Be the primary business owner for Anaplan within Finance

What you need

• Experience with connected planning and finance processes
• Experience with Anaplan model design and solutions

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What you'll do

• Analyse and organise raw matchmaking data; model datasets (3NF, dimensional) for analytics and products.
• Build and operate reliable data pipelines (batch and streaming) across multiple sources at petabyte scale.

What you need

• 6-8 years designing, developing, and managing data systems (warehouses, lakes, and distributed stores) at multi-PB scale.

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