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16 751 вакансий по запросу «Office»Сначала свежие

Eram Talent68 дн назад

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; London, United Kingdom The Video Content Producer brings KAUST’s stories to life in post-production — shaping raw footage into polished, brand-aligned content that communicates the University’s research, people, and mission to audiences across digital and institutional channels. The role combines strong editorial judgement with technical expertise across editing, colour grading, and motion graphics. Working from production briefs under the direction of the Multimedia and Brand Production Manager, the Video Content Producer manages video projects from creative concept through to final delivery, contributes actively to pre-production planning, and serves as the team’s primary owner of motion graphics and 2D animation. The role requires a strong editorial sensibility, precise technical craft, and the discipline to manage multiple projects simultaneously to tight deadlines. The Video Content Producer is expected to engage proactively in the team’s creative planning pipeline, maintain rigorous DAM and workflow discipline, and bring genuine creative investment to every production. Occasional out-of-office hours working will be required, for which overtime will be paid. Key Responsibilities Pre-Production Review and analyse production briefs and participate in briefing sessions with relevant stakeholders. Contribute to storyboards, editorial structures, mood boards, and creative references. Identify and retrieve suitable archival footage and licensed media assets. Coordinate with production teams regarding shoot requirements, technical specifications, and footage handover. Editing and Post-Production Edit and produce video content including documentaries, interviews, promotional videos, research communications, and social media content. Apply transitions, motion graphics, visual effects, and animations. Produce 2D motion graphics and animated sequences. Perform professional colour correction and colour grading. Mix and master audio, including music, voice-over, dialogue, and ambient sound. Prepare final video projects in appropriate formats for web, social media, YouTube, LED screens, and other channels. Manage multiple editing projects while maintaining quality and meeting delivery deadlines. Project Management and Stakeholder Coordination Manage assigned video projects from creative concept through final delivery. Maintain clear communication with stakeholders regarding project requirements and timelines. Provide creative guidance and constructive feedback on video requirements. Maintain project schedules and proactively identify delivery or resourcing risks. Asset Management and Workflow Upload and organize production assets within defined timelines. Apply proper metadata, tags, and naming conventions. Maintain organized project files, footage, and finished assets within servers and DAM systems. Track production activities, tasks, edit notes, comments, and deliverables using Asana or equivalent project management tools. Maintain editing workstations and software and report technical or licensing issues when required. Creative Contribution Participate in creative planning sessions and contribute editorial and motion graphics ideas. Stay updated with emerging trends, techniques, and tools in video editing and post-production. Actively contribute to the editorial quality and visual impact of final productions Requirements Qualifications Undergraduate or postgraduate degree in Film-making, Media Production, or a related discipline. Additional training or certification in colour grading, motion graphics, or post-production workflows is desirable. Experience Minimum 5 years of professional experience as a Video Editor within a large organization or creative agency. Strong portfolio demonstrating editorial range and high-quality post-production work. Demonstrated experience with Adobe Premiere Pro and DaVinci Resolve. Proven experience in Adobe After Effects, including 2D animation and typographic sequences. Experience managing multiple projects simultaneously and working under tight deadlines. Experience in institutional, corporate, or higher education video production is desirable. Experience with 3D animation software such as Cinema 4D or Blender is an advantage. Familiarity with Avid Media Composer is desirable. Experience working alongside or directing camera operators during location productions is an advantage. Technical Skills Expert proficiency in Adobe Premiere Pro and DaVinci Resolve. Strong proficiency in Adobe After Effects. Strong knowledge of colour science, colour grading workflows, and LUT management. Competence in audio mixing and sound design. Knowledge of video/audio formats, codecs, and multi-platform delivery specifications. Familiarity with Digital Asset Management (DAM) systems and metadata standards. Experience using Asana or equivalent project management tools. High IT literacy across Windows and macOS environments. Additional Requirements A portfolio or showreel of previous video editing work is required. Ability to work outside regular office hours when production schedules require it. Ability to manage multiple projects in a fast-paced environment. Strong attention to detail, creativity, communication, organization, and teamwork skills.

Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; London, United Kingdom

компания мечты68 дн назад

Senior Data QAA Engineer

Client: A global online sports betting company dedicated to building world-class technology products. Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery. Responsibilities: — Design, build, and maintain data and reporting solutions using modern technologies. — Test and develop Integration layer changes, ensuring user stories meet quality standards. — Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations. — Perform comprehensive test analysis and collaborate across cross-functional Agile teams. Requirements: — 3+ years of demonstrated experience with validation in Databricks. — In-depth experience in developing and maintaining automated test suites. — Proficiency in Python (preferred) and SQL. — Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure). — Strong skills in Database, ETL, Big Data, and API validations. — Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git). — Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL). — Solid background in Agile ways of working. Nice to have: — Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK). — Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL). — Experience using Jira and XRAY for test management. — Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki). What We Offer: — Vacation days: Up to 26 business days per year. — 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types. — Health and life insurance (Luxmed). — MyBenefit platform with Multisport option. — Internal psychological support service. — English language classes from the first working day. — Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training. — Flexible workplace: work from the office, from home, or choose a hybrid option. — Tech Skills Mentoring Program. — Opportunities to develop as a public speaker, mentor, or technical interviewer. — Fully paid idle (bench) when not involved in a project. — Certification reimbursement (AWS, GCP, Microsoft, etc.).

УдалённоseniorГеография найма не уточнена, офис: Wrocław

Lavendo68 дн назад

Forward Deployed Engineer, AI Training Data (San Mateo, CA)

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs. Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers. THE MISSION Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing. THE OPPORTUNITY As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use. If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role. WHAT YOU'LL DO - Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond - Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments - Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes - Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem - Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you - Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap - Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements WHAT YOU BRING - 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer - Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API - Real experience deploying software into enterprise customer infrastructure - Strong Python proficiency (required) and AWS proficiency (required) - A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between - Experience building post-sales processes or playbooks from scratch - Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus - A technical degree (CS or equivalent) - A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture - Willingness to travel to customer sites as needed (roughly 15%) - Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close. WHY JOIN? - Compensation: $230,000–$300,000 base plus extremely competitive equity - Health benefits: 100% covered health benefits (medical, vision, and dental) - 401(k): 401(k) plan with a 4% company match - Time off: Unlimited PTO - Wellness: Annual $2,000 wellness stipend - Learning & development: Annual $1,000 learning and development stipend - In-office perks: Daily lunches and snacks provided in the office - Relocation: Relocation assistance for employees moving to the Bay Area - Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships - Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers - Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean - Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person - Visa support: Open to visa transfers, including OPT and H-1B transfers INTERVIEWING PROCESS - Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics - Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset - Coding Screen (1 hour) — Live coding in Python with end-to-end debugging - On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Higgsfield68 дн назад

Data Science, Product Analyst

Higgsfield68 дн назад

Data Scientist, Product

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Higgsfield68 дн назад

Content Manager

ОфисAlmaty, Kazakhstan

InvestEngine68 дн назад

Analytics Engineer

Location: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

Voodoo68 дн назад

Senior Finance Data & Systems Analyst

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM Our Corporate teams support the company's performance and growth whilst putting people at the core of everything they do. As a French tech leader and global successful company, our Corporate teams are constantly looking for ways to innovate and increase organization efficiency to keep Voodoo ahead of the market. Voodoo's Corporate function is composed of three teams: HR, Legal and Finance, working together to drive Voodoo's success. ROLE We're looking for a Senior Finance Data & Systems Analyst – Pigment Lead, AI & BI to join our Corporate team. In this role, you'll be the internal expert and owner of our Pigment platform, while driving data, automation, and AI initiatives to elevate the Finance team's performance and service quality across FP&A and Accounting. - Progressively take full ownership of Pigment's rollout and upkeep, reducing dependency on the external service provider and becoming the go-to internal expert on the tool - Optimize platform configuration, drive integration development, and build a strategic roadmap to support consolidation and reporting needs across FP&A and Accounting - Design and implement, together with the Head of FP&A, a structured budgeting process in Pigment, including workflow, calendar, and contributor governance - Adapt and evolve Pigment use cases tied to the Accounting close process, in collaboration with the Head of Accounting - Establish robust operational controls, including disciplined change management and a comprehensive financial data governance framework (definitions, quality, single source of truth, access governance) - Lead data and automation projects beyond Pigment to improve Finance team performance, including self-service analytics, reconciliation automation, and variance analysis - Drive the deployment of AI agents to replace manual processes and enhance the Finance team's operational efficiency - Scope and contribute to building priority Finance dashboards (Looker, Tableau, Power BI, or similar), ensuring metric consistency across Pigment, BI, and Finance reporting - Develop and maintain documentation, training materials, and user support processes to champion best practices across the Finance team - Mentor and grow a junior analyst or intern, progressively delegating Pigment, data, or reporting responsibilities PROFILE - 5–8 years of experience in Finance Data, FP&A, or Finance Systems roles, ideally in consulting or a tech scale-up environment - Hands-on experience with a Pigment rollout or run, or a similar EPM tool (Anaplan, Adaptive Insights, Hyperion, etc.) - strongly preferred - Demonstrated ability to internalize a tool previously managed by an external service provider, with a mandate to build internal autonomy quickly - Comfortable working with FP&A, Accounting, and Data/IT stakeholders alike - Some experience with SQL or Python and BI tools (Looker, Tableau, Power BI, or similar) - Genuine enthusiasm for applying AI to Finance, including no-code/low-code tools, agents, and LLMs - Ability to structure a data governance approach at the scale of a Finance function - Familiarity with accounting close processes is a plus - Prior mentoring experience (junior analyst, intern, or apprentice) is a plus - Fluent in both French and English BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Orcrist Technologies68 дн назад

Group Information Security Manager

Location: Remote / Germany Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role As Group ISB, you own the information security strategy, programme, and posture of the Vektor Group, from strategy to hands-on execution. You work in close operational partnership with the Director of Internal IT on technical controls and implementation. Your core mandate is ISO 27001 certification on the basis of BSI IT-Grundschutz, together with NIS-2 compliance: from gap analysis and controls implementation through audit readiness, ongoing maintenance, and the regulatory obligations arising under both frameworks. We build AI platforms for customers in the defence and government sector. Information security is a precondition for our business, not an afterthought. We are building the security organisation while the group grows. During this phase, everyone including leadership works hands-on: day-to-day operational security, direct support for the IT team, and tasks outside the boundaries of a traditional governance role. External consultants support the ramp-up. As the ISMS and the team mature, the balance shifts toward strategy and governance. What you'll do Build and operate the group-wide ISMS following BSI standards 200-1/200-2/200-3: structure analysis, protection needs assessment, modelling, risk analysis Create and maintain the security policy framework and processes at group level; coordinate company-specific additions Prepare and accompany ISO 27001 certification, run internal audits, work with external auditors Implement NIS-2 obligations: reporting processes, evidence management, corrective action tracking Manage risk across technical and organizational domains, including reporting to executive management Steer external consultants and service providers within the running programme Build and run the security awareness programme: training and sensitization Own incident response planning and coordinate during incidents, together with IT, Legal, and leadership Assess third-party and vendor risk, run security assessments for new tools and partners Work closely with the Director of Internal IT (technical controls: access governance, endpoint security, identity) and with platform engineering (interface to product security) Support sales and customer trust processes: security questionnaires, due diligence, customer audits Track further regulatory requirements (EU AI Act, Cyber Resilience Act, among others) and derive required action About you Several years of experience as an ISB or in comparable responsibility for information security Proven practice with BSI IT-Grundschutz: BSI standards 200-x and the Grundschutz-Kompendium, ideally including a completed certification procedure Experience building or leading ISO 27001 programmes, from gap analysis to audit readiness Solid risk management: you assess, prioritize, and communicate risk clearly to technical and non-technical audiences Willingness to work hands-on during the build-up phase Confident interaction with executive management, auditors, and customers German at C1 or above, English at B2 or above Nice-to-haves Certifications: IT-Grundschutz-Praktiker/-Berater, ISO 27001 Lead Implementer or Lead Auditor, CISSP, CISM Experience with security governance across multiple legal entities or jurisdictions Experience in regulated environments: defence, government, critical infrastructure; familiarity with VS-NfD, Geheimschutz, or AQAP Practical NIS-2 implementation experience Experience with sales-adjacent security processes (pre-sales, customer audits) What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security.

Anthropic68 дн назад

Account Executive, Startups

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: €155.000 — €205.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Affirm68 дн назад

Analyst II, Credit

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk. The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus! What you’ll do Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants Investigate and use new sources of third party data to assess merchant financial risk Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation What we look for 3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting Experience working with cross functional partners across the organization, especially Sales and Business Development teams Experience reviewing financial documents, business credit reports and payment processor statements Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution Compensation & Benefits Base Pay Grade - G Equity Grade - 3 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £66,000 - £76,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Сбер68 дн назад

Старший менеджер по работе с клиентами

Location: Калуга Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

leadКалуга

Сбер68 дн назад

Старший менеджер по работе с клиентами

Location: Починок Ищешь работу с возможностью карьерного развития и роста? Сбер раскроет твой карьерный потенциал! Откликайся! Обязанности * консультировать клиентов по всем продуктам и услугам Сбера, включая ипотеку * продавать банковские продукты и услуги * обучать клиентов пользоваться сервисами и продуктами Сбера * проводить кассовые операции: прием, выдача, обмен денег. Требования * имеешь образование среднее и выше * доброжелателен и готов помогать клиентам * активно используешь гаджеты и программы MS Office * готов использовать искусственный интеллект в ежедневной работе (обучение за счёт компании — есть свои курсы). Условия * ежемесячная, годовая премия и ежегодный пересмотр зарплаты * возможность влиять на свой доход * быстрый старт карьеры для тех, кто без опыта * работа в офисе нового формата рядом с домом или местом учебы * корпоративный планшет для комфортной работы * уникальная система онлайн обучения Сбера для карьерного развития и роста * расширенный ДМС и льготное страхование для семьи * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ. Будет преимуществом опыт работы в компаниях: Россельхозбанк, Росбанк, Совкомбанк, ГазпромБанк Яндекс, Ozon, Wildberries, Деловые Линии, ВТБ, Альфа-Банк, Тинькофф Банк, МТС, Билайн, Мегафон, Ростелеком. #начало\_карьеры #работа\_без\_опыта #менеджер\_по\_продажам #консультант #менеджер\_по\_обслуживанию #обслуживание\_физических\_лиц #менеджер #специалист\_банка #работа\_для\_начинающих #консультирование #кредитные\_продукты #продажи #страхование #вклады #ипотека #кредиты #касса #работа\_с\_наличными #банковские\_ценности #прием\_платежей

leadПочинок

Box68 дн назад

SDR, Manager

Location: London WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU Our Sales Development Representatives (SDRs) are a key part of a Commercial Sales team consisting of a Sales Manager and Commercial Sales Executives. As manager of the SDR team, you will lead a team that supports all levels of the sales organization by qualify marketing leads to create new pipeline opportunities that adds to the total revenue. This includes joining a team with people who are smart, organized, thorough, and take pride in initiating meaningful relationships with future customers. WHAT YOU’LL DO Lead, manage, and inspire a team of 7 SDRs Coach and develop your team's prospecting, qualification, and sales skills, while deepening their Box product knowledge and ability to collaborate effectively with cross-functional stakeholders like Sales and Marketing. Own and drive the achievement of all SDR team targets, ensuring consistent performance and growth. Collaborate closely with Commercial Sales Management and Marketing teams to align on goals, strategies, and priorities. Utilise Salesforce (SFDC) and Tableau to analyse and identify key areas for improvement, ensuring your team is focusing efforts effectively, and reporting on their activities and performance metrics. Partner with US-based SDR Managers to leverage global initiatives, share best practices, and drive a consistent approach across regions. Actively develop SDRs to prepare them for future roles within Box, fostering a growth mindset and career progression. Recruit and hire high-performing reps to build a strong, dynamic, and effective team. Cultivate a positive, high-energy, and high-performance team culture, keeping the team motivated, informed, and aligned with Box's overarching company objectives. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. At least 2 years managing an Lead Generation Team Salesforce expertise is a must Collaborative and excels working with cross functional teams, like Sales Strategy, Marketing, Sales & Marketing Operations Provide detailed analysis, reporting and accurate forecasting using Salesforce and other data sources Mentor, guide, and support to develop the skills and careers of your SDRs Preference for someone who has progressed from a BDR/SDR role to an Account Executive role with a high degree of attainment Nice to have: Fluent in French or German Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! BENEFITS Box Benefits package includes pension, medical and dental coverage. We have a robust wellness program including 25 days of vacation (plus your birthday off!) and subsidized gym membership. There is such a thing as a free lunch - we offer it this daily along with lots of snacks and drinks. EMEA HQ office is located in the impressive White Collar Factory on Old Street; https://www.derwentlondon.com/properties/white-collar-factory EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice. NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-EMEA

think-cell68 дн назад

Marketing Operations Manager (f/m/d)

Location: Berlin, Munich (Germany) Marketing Operations Manager - Join Our Innovative Team at thinkcell Software Our Story At thinkcell, we create powerful software solutions that help professionals be more efficient and productive. Founded in 2002 and based in Berlin, our tools integrate seamlessly with Microsoft Office to help users create presentations, charts, and diagrams with ease. Our dynamic, international team values creativity, collaboration, and technical excellence. What You Will Do We are seeking an experienced Marketing Operations Manager to join our Revenue Operations team as the dedicated Marketing Operations partner. In this role, you will work closely with Marketing leadership to design scalable processes, optimize campaign operations, and translate business strategy into operational execution. As part of the Revenue Operations team, you will serve as the dedicated Marketing Operations partner, working closely with Marketing leadership, GTM Systems, and other Revenue Operations functions to design scalable processes, optimize campaign operations, and ensure our marketing technology, data, and reporting support the company's continued growth. Key Responsibilities: Serve as the primary Revenue Operations partner for the Marketing organization. Participate early in planning for new marketing initiatives and campaigns. Identify risks, dependencies, and downstream impacts before execution. Own campaign operations governance, prioritization, and delivery oversight. Oversee campaign execution across email, webinars, forms, landing pages, and lifecycle programs. Ensure marketing campaigns comply with applicable privacy regulations, consent requirements, and email marketing best practices. Partner with Revenue Operations and GTM Systems to improve automation, lead management, and marketing processes. You will be great for this position if you have Bachelor's degree in Marketing, Business, Communications, or a related field. 5+ years of Marketing Operations experience. Experience partnering directly with Marketing leadership. Strong understanding of Salesforce Marketing Cloud, Salesforce Sales Cloud and marketing technology ecosystems. Experience with campaign operations, lifecycle marketing, and lead management. Strong project management and stakeholder management skills. Excellent analytical, communication, and problem-solving abilities. Ability to balance strategic thinking with operational execution. Preferred Qualifications Experience supporting global marketing organizations Experience with reporting and marketing analytics Knowledge of marketing compliance and data governance Experience leading process improvement or change management initiatives Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. We believe in a human hiring process, every application is personally reviewed. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Humanoid68 дн назад

Senior Group Accountant

Location: UK, London Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We’re hiring a Senior Group Accountant to join our Finance team in London. Reporting to the Global Financial Controller, you will be responsible for monthly and statutory reporting and group consolidation across our global entities, and will help build the reporting, close and audit processes that carry Humanoid from high-growth startup to public-company standards. This is a hands-on role for a technically strong, audit-trained accountant who wants their work to become the foundation of a global finance function. WHAT YOU’LL DO Reporting, Close and Consolidation - Run the month-end and year-end close to the group close calendar, including journals, accruals, prepayments, fixed assets and payroll postings, and own full balance sheet reconciliations. - Prepare monthly management reporting and support the wider reporting pack for internal and external stakeholders, including leadership, investors, lenders and auditors. - Operate and improve the group consolidation across all entities, including intercompany reconciliation and eliminations, and multi-currency translation. - Prepare group cash flow reporting and supporting schedules, working with FP&A and Treasury as the function grows. Technical Accounting - Own technical accounting assessments and prepare accounting papers and memos on judgemental areas and complex transactions. - Develop accounting policies across revenue, inventory, R&D, leases and share-based payments as the business scales. - Lead the accounting for inventory and manufacturing costs as we move from R&D and prototypes into production, including standard costing, cost of sales and stock provisioning. - Support the transition of group reporting from FRS 102 to IFRS. Statutory Reporting and Audit - Prepare UK statutory financial statements and support local filings across our other jurisdictions alongside external advisors. - Own the external audit process end to end, including PBC lists, auditor relationships and technical position papers. Controls, Systems and Process - Build and document internal controls as the group scales, ensuring we stay compliant and are ready for the reporting standards expected of a public company. - Document processes and controls as you build them, and play a central role in our ERP build-out and finance systems integrations. - Use AI and modern workflow tooling to accelerate the close, automate reconciliation and reporting, and find efficiencies across the function. - Collaborate end to end across the finance team and the wider business, including tax, FP&A, finance operations, supply chain and people teams, picking up work that falls outside the standard remit as an early-stage company. WHAT WE’RE LOOKING FOR - ACA or ACCA qualified (CIMA considered), ideally audit-firm trained, with 4+ years’ relevant post-qualified or equivalent accounting experience across multi-entity, multi-currency groups, ideally including US entities. - Strong technical knowledge of FRS 102 and IFRS, with experience preparing statutory accounts, drafting technical papers and managing external audits end to end. - Hands-on close and consolidation experience, comfortable owning journals, reconciliations, intercompany and eliminations rather than only reviewing them. - Experience with inventory and cost accounting, standard costing or cost centre reporting in a manufacturing, physical goods or high-volume environment. - A builder’s mindset, with experience in a high-growth environment where process, controls and documentation still need to be created. - Comfortable in a modern finance stack, using AI and automation to speed up close and reporting; ERP implementation experience (SAP, NetSuite or similar) is a plus. - Experience in a venture-backed startup or scale-up, ideally hardware, robotics or deep tech, is a plus. WHAT WE OFFER - Competitive equity: stock options with meaningful upside as we scale. - 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas to New Year shutdown). - Private healthcare, including virtual and in-person care. - Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings. - Free daily breakfast, catered lunch, and snacks in-office. - Work at the frontier: collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics. - Real ownership: direct access to leadership, meaningful input, and the ability to drive key initiatives from day one.

20four7VA68 дн назад

DSP-CPT-11443 Recruiting & Driver Onboarding Virtual Assistant

Location: Worldwide APPLICATION INSTRUCTIONS: If you’ve already completed the 20four7VA Recruiting Process—including the Final Interview—or have previously been contracted by a 20four7VA Client, please make sure to apply via the 20four7VA Team Portal for faster processing. Use any valid email address to log in. If you’ve just logged in to the Team Portal, please proceed to review the Independent Contractor Opportunity outlined below. 💡 Quick Tip: Upload your resume first—this will automatically populate most of the fields in the application form. Let the magic happen! If you're interested in this opportunity, click APPLY TO POSITION to proceed. ******************************************************************** Title: Independent Contractor – DSP-CPT-11443 Recruiting & Driver Onboarding Virtual Assistant/Business Support VA/Junior-Senior Level (Remote). Overview 20four7VA is seeking offshore independent contractors to deliver remote services to clients worldwide, with a primary focus on developed markets such as the United States, the United Kingdom, Canada, and Australia. An Amazon DSP operator is seeking a full-time Recruiting & Driver Onboarding Virtual Assistant to support hiring for a temporary second location in Edgewood, Maryland. This position is expected to support the business through the approximately 16-week peak season, with hours potentially reduced following year-end based on hiring needs. The immediate priority is recruiting and onboarding drivers for the new location. The VA will support the hiring process from candidate coordination and interviews through drug screening, background checks, and onboarding. The ideal candidate has strong high-volume recruiting, onboarding, and logistics experience and is comfortable managing multiple candidates through a structured hiring process. The client is looking to begin as soon as possible ahead of the new location's launch. The objective of each engagement is to assist the client in improving business efficiency, enhancing service delivery, or supporting operational functions through high-quality, task-specific services rendered by a qualified contractor. Scope of Services Contractors will be required to provide services that align with the following client tasks: Recruiting & Candidate Management Manage incoming applicants through Indeed and SmartRecruiters Review and organize driver candidates Conduct initial candidate screening and qualification Schedule and conduct interviews by phone or Zoom as directed Maintain accurate candidate statuses and hiring trackers Follow up consistently with candidates throughout the hiring process Manage high-volume candidate communication and outreach through Indeed and SmartRecruiters Promptly contact qualified applicants and coordinate interview scheduling Schedule and conduct individual and group interviews via Zoom as directed Coordinate interview rescheduling and maintain accurate interview schedules Follow up consistently with candidates to keep them moving through the hiring process Maintain accurate candidate information, communication notes, and hiring statuses throughout the recruitment process Amazon DSP Hiring & Onboarding Process qualified candidates through the applicable Amazon hiring portal and required hiring stages Track candidates through required pre-employment and onboarding requirements Coordinate and monitor background checks, including processing through Accurate as directed Coordinate and monitor required drug screenings Follow up with candidates regarding incomplete or outstanding hiring requirements Maintain accurate records of candidate progress, submitted requirements, and pending items Help ensure qualified candidates progress efficiently from application through onboarding and start readiness Driver Onboarding Coordinate drug screenings and background checks Track completion of required onboarding steps Follow up with candidates regarding missing documents or outstanding requirements Maintain organized spreadsheets and candidate records Help move qualified candidates efficiently from application through onboarding Escalate issues or exceptions to the client as needed Recruiting Administration Maintain accurate recruiting and onboarding documentation Update candidate spreadsheets and hiring records Track upcoming interviews, screenings, and onboarding requirements Assist with additional recruiting and hiring-related administrative tasks as needed Track time-sensitive recruiting deadlines and follow-up requirements Maintain organized recruiting trackers and Google Sheets used for candidate management Assist with additional recruiting and onboarding administrative tasks as needed Each engagement is based on a defined scope of work and is governed by an independent contractor agreement. Services must be performed professionally, with adherence to any timelines, guidelines, and deliverables agreed upon in writing. Skills The Contractor must demonstrate proficiency in the following, depending on the Client’s requirements: Previous recruiting and onboarding experience required High-volume recruiting experience strongly preferred Logistics, transportation, delivery, warehouse, or similar workforce experience strongly preferred Experience recruiting drivers or other high-volume hourly workers is a plus Indeed experience required SmartRecruiters experience strongly preferred Strong spreadsheet and candidate-tracking skills Comfortable conducting candidate interviews by phone and Zoom Strong written and verbal English communication required Experience with Amazon DSP, delivery, logistics, or transportation recruiting preferred Experience with Amazon hiring or onboarding processes preferred Experience with Accurate or similar background-check platforms preferred Experience conducting high-volume individual and group interviews preferred Strong candidate follow-up and scheduling skills required Ability to work efficiently in a deadline-sensitive, high-volume recruiting environment Experience working with applicant tracking systems such as SmartRecruiters strongly preferred IDEAL CANDIDATE PROFILE Experienced with high-volume recruiting and onboarding Comfortable managing multiple candidates at different stages of the hiring process Strong phone and video-interview communication skills Highly organized with excellent follow-through Proactive with candidate communication and follow-up Comfortable working in a fast-paced logistics environment Able to quickly learn and follow an established hiring process Dependable and capable of working against aggressive staffing deadlines APPLICATION SOFTWARE KNOWLEDGEABLE / REQUIRED Indeed SmartRecruiters – Preferred Microsoft Excel / Google Sheets Zoom / Video Interview Platforms Microsoft Office / Google Workspace Work Schedule Contracted Hours per Week: 40 Hours Scheduled Working Days: Monday through Friday (unless otherwise mutually agreed in writing) Daily Working Time: 8 AM - 5 PM EST (with 1 hour lunch) Note: The Company will make reasonable efforts to align the Assigned VA’s schedule with the Client’s preferred hours as set forth above. However, availability may vary based on time zones, capacity, and the contracted hours set in this SOW. Any changes must be mutually agreed to in writing through a revised SOW. Terms of Engagement Contractors will operate under a Master Services Agreement and a Statement of Work This is not an offer of employment; contractors are not employees of 20four7VA or any client All compensation is processed through 20four7VA according to the terms of the engagement Role Summary & Requirements REQUIRED SERVICE: Business Support REQUESTED EXPERIENCE TIER LEVEL: Junior, Senior Level Contracted Hours per Week: 40 hours/week Daily Working Time: 8 AM - 5 PM EST (with 1-hour lunch) Scheduled Working Days: Monday-Friday REPORTING TO/POC: To Be Determined Number of VAs: 1 GENDER PREFERENCE: None LANGUAGES SPOKEN/PREFERENCE: English ACCENT PREFERENCE: Level A-B (Native or near-native English accent required) REGION PREFERENCES: Any What we offer Competitive rates Weekly payments Various open roles are available Free training and upskilling Constant support and guidance A vibrant community always ready to support you And more!

EQT Group68 дн назад

Team Lead – Evergreen Product Management, Private Capital

Location: Stockholm, Stockholm, Sweden Team Lead – Evergreen Product Management, Private Capital EQT is seeking an experienced private capital product management leader to head the global Private Capital Evergreen Product Management (EPM) team, shaping how EQT's evergreen offerings are positioned, communicated and supported across markets. This is a senior role at the heart of EQT's rapidly scaling evergreen platform, combining meaningful people leadership with hands-on product expertise and cross-functional influence. About the Team The Evergreen Product Management team globally manages EQT's evergreen fundraising platform, driving excellence, scalability and innovation across product positioning, fundraising preparation and the full product lifecycle. The Private Capital EPM team works closely with Coverage, Fund Strategy and senior leadership to ensure EQT's evergreen offerings are compellingly articulated and consistently supported across regions and distribution channels. About the Role As Team Lead for Private Capital Evergreen Product Management, you will set the strategic direction for a global team while remaining hands-on in shaping product narratives and fundraising deliverables that resonate with investors and distributors worldwide. You will be the senior point of accountability for private capital evergreen product management, ensuring the team operates as a cohesive, high-performing unit with clear priorities and strong cross-functional partnerships.This role currently has 3 direct reports, with the team expected to grow over time. Lead, mentor and develop the global Private Capital EPM team, establishing clear direction, quality standards and a culture of accountability and collaboration. Own product positioning for EQT's private capital evergreen offerings, ensuring a differentiated, consistent narrative across regions and distribution channels. Oversee core fundraising assets and product lifecycle deliverables, ensuring all materials are accurate, compelling and ready for external use. Lead EPM's contribution to investor diligence, complex product-related RFI responses, distributor onboarding and selected client engagements. Shape timely product and market insights, thought leadership, trigger-event messaging and updates for investors and senior leadership. Drive process standardisation, workflow optimisation and automation to support continued platform growth and scalability. Act as a senior partner to Coverage, Fund Strategy and other internal teams, ensuring effective coordination and clear cross-functional ownership. About You You are a thoughtful, commercially minded leader with deep private markets knowledge (ideally within private equity) and a genuine commitment to developing people and raising standards. You bring both the strategic perspective to set direction and the hands-on rigour to deliver consistently at a high level. What you'll bring (must-have): Significant experience in private markets product management, with a strong understanding of private equitycapital products, fundraising processes and investor and distributor requirements. Proven experience in a senior product management role, with demonstrated ability to own complex deliverables end-to-end. Experience leading and developing a team, with the ability to set clear priorities, foster collaboration and hold high standards. Strong commercial judgement and the ability to translate complex information into clear, compelling product narratives for diverse audiences. Excellent written communication skills, with c Consistently high standards for accuracy and quality. Structured approach to workload management, comfortable managing multiple products, stakeholders and geographies simultaneously. Confidence engaging with senior internal stakeholders and clientsexternal stakeholders, with well-developed relationship management skills. Nice to have: Familiarity with evergreen or semi-liquid fund structures and their specific fundraising and distribution dynamics. Private wealth experience. Experience working across multiple geographies or within a global organisation. Familiarity with workflow optimisation or process standardisation initiatives within a product or marketing function. Proficiency in PowerPoint and Excel at an advanced level, applied to fundraising or investor materials. Exposure to thought leadership or market insights production within a financial services context. What We Offer This role offers genuine scope to shape how EQT's private capital evergreen offerings reach investors -— influencing product positioning, investor engagement and the team's operating model from a senior vantage point. You will work closely with leaders across products, functions and geographies, with visible impact on one of EQT's most strategically important growth areas. EQT is a collaborative, purpose-driven organisation where people are encouraged to take ownership, develop their expertise and contribute to something that matters. Compensation & Benefits Notice We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌354‌ billion in total assets under management (€195‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

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Eram Talent68 дн назад

Video Content Producer (Saudi Arabia)

Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; London, United Kingdom

компания мечты68 дн назад

Senior Data QAA Engineer

УдалённоseniorГеография найма не уточнена, офис: Wrocław

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