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InvestEngine74 дн назад

Head of Strategy and Business Operations

Location: London, United Kingdom Workplace: hybrid About InvestEngine InvestEngine is everything the modern investor should need. Unbeatable value, market-leading automation, and built for easy, long-term investing. We've built a strong foundation, have over £3 billion invested, award-winning service, and a passionate team — now we're ready to scale. We are seeking a hands-on Head of Strategy & Business Operations to partner with our CEO in setting the strategic agenda, running the company and building the operating model that will carry us through the next stage of growth. About The Role As Head of Strategy & Business Operations, you will operate at the intersection of strategy, operations and executive decision-making, combining analytical judgement with hands-on execution. You will work closely with the CEO as part of a lean leadership team, leading the Strategy & Business Operations function and a team of five. You will translate high-level objectives into clear execution plans, operating rhythms, KPIs and measurable outcomes, acting as an integrator who drives delivery across every function in the business rather than managing a large team of your own. This is a newly created role: much of the framework you will run does not yet exist in a formal shape, and building it is a core part of the job. What You'll Be Doing Operating Model & Company Rhythm Design and run InvestEngine's company operating model, including the goal cycle, executive meeting architecture, business reviews and decision governance. Own the quarterly goal cycle end to end, working with function leaders to set targets that are ambitious, measurable and owned. Run the executive cadence so that decisions are made once, documented and acted upon, and surface risks and slippage early. Strategy & Planning Own the annual and multi-year strategic planning process, from framing the agenda to a plan the leadership team commits to. Partner with the CEO and leadership team on strategic planning, prioritisation and resource allocation. Structure and answer the company's most significant open questions, including market sizing, prioritisation and build-versus-buy decisions. Bring an independent, evidence-based point of view to executive discussions, including where it differs from the prevailing one. Cross-Functional Delivery Own the portfolio of company-wide initiatives, with clear prioritisation and formal start and stop gates. Lead high-impact initiatives end to end, resolving delivery challenges directly rather than escalating them. Embed completed work with the function that will own it as business-as-usual, leaving no residual dependency on your team. Performance & Reporting Own the monthly CEO pack and quarterly Board pack, produced from a single, trusted source of truth. Develop the KPI framework covering commercial performance, delivery, customer outcomes, cost efficiency and operational risk. Build the analysis yourself, working with Data & Analytics on the underlying infrastructure. Team Leadership Lead, develop and grow a team of five, setting remits, priorities and standards, and hiring into open roles. Partner closely with leaders across Product, Technology, Platform Operations, Marketing, Data & Analytics, Finance, Compliance and People, securing outcomes from teams that do not report to you. Apply AI and automation practically to reporting, planning and internal workflow to keep the function lean as we scale. What We’re Looking For Significant experience (typically 8+ years) across strategy and operations in fintech, financial services or another high-growth, regulated environment — for example as Head of Strategy & Business Operations, Head or Lead of Strategy & Operations, Chief of Staff, or a similarly broad leadership role. Demonstrated experience building a company operating model rather than administering one designed by someone else, and securing genuine adoption by a leadership team. Proven track record leading company-wide initiatives end to end, including embedding them into business-as-usual and stopping those no longer worth the investment. Experience managing a team of four or more strategy, operations or programme professionals, with evidence of raising performance. Strong commercial and analytical judgement; you build your own models and argue from the numbers. Proven ability to influence senior stakeholders and secure outcomes without formal authority. Comfortable in fast-paced environments with limited existing structure, and credible with a CEO, an executive team and a Board. What Will Make You Stand Out Experience in FCA-regulated financial services, particularly a retail investment, wealth or savings platform. Consulting, VC or private equity pedigree alongside substantial in-house operating experience. Track record of P&L ownership or measurable commercial performance improvement. Experience establishing data, analytics or AI capabilities to support executive decision-making. Why Join InvestEngine? Partner directly with the CEO on the strategic agenda, and play a central role in how a fast-growing UK investment platform is run. A genuine blank page: you design the operating model, then run it. Lead an established team of five, with open roles to shape and hire yourself. A transparent, open culture with collaboration across every function. Hybrid working, London-based — in-person collaboration with flexibility. Our Hiring Process Introductory call with our Talent team Interview with with a member of our leadership team Case discussion based on a real InvestEngine problem Final interview with our CEO

ГибридheadLondon, United Kingdom

Perplexity74 дн назад

Strategic Finance Lead - AI

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead to help lead the economics of our AI products. In this role, you will be a key partner to our product, inference, and data teams, providing financial expertise to optimize model spend and drive pricing and margin decisions. In this role, you'll develop deep expertise in the unit economics of AI products, from per-request serving cost to consolidated product-level margin across our portfolio. You'll build the models that inform Perplexity's pricing, packaging, and model-deployment decisions, own the product-margin methodology that reconciles revenue and inference cost from production data, and translate complex model economics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and AI product strategy, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for inference and model spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain product-margin models across the product portfolio, reconciling revenue, serving cost, and gross margin from production usage data - Develop deep expertise in model provider contracts, pricing structures, and cost drivers, and surface optimization opportunities across the model portfolio and routing mix - Serve as subject matter expert for product unit economics, owning source of truth on cost per request, margin by product and tier, and customer-segment and feature-level economics - Own the consolidated model-cost forecast, translating product roadmaps and model transitions into forward-looking spend and margin trajectories - Analyze the margin impact of pricing, packaging, and model-deployment decisions, distilled into a framework for product and pricing strategy - Partner closely with product, inference, and data engineering to understand how usage and serving cost scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing product margin and unit economics in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected usage, revenue, and cost data - Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences - Sound commercial judgment across pricing, packaging, discounting, and the tradeoffs between growth and margin - A proven track record of partnering with technical and product teams to drive financial optimization initiatives - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or consumption-based business models with complex cost structures PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, private equity, growth equity, consulting, or investment banking, preferably with software or AI product experience - Experience in AI or LLM product financial management, including direct work with model providers or inference platforms - Deep expertise in usage-based pricing, subscription economics, and gross-margin and COGS attribution by customer and model family - Experience with model serving economics, including how latency, throughput, and token usage flow through to margin performance - Proficiency with financial modeling tools

Perplexity74 дн назад

Strategic Finance Lead - AI

Perplexity74 дн назад

Strategic Finance Lead - Compute

Location: San Francisco Workplace: Hybrid ABOUT THE ROLE We are seeking a Strategic Finance Lead for our GPU compute fleet. In this role, you will be a key partner to our inference and infrastructure teams, providing financial expertise to optimize our compute investments and drive capacity decisions. In this role, you'll develop deep expertise in the economics of AI compute, from token-level serving cost to the long-range financial planning of our GPU fleet. You'll build the models that inform Perplexity's capacity and make-versus-buy decisions, own the internal-cost analysis that underpins internal and external token pricing, and translate complex infrastructure dynamics into clear financial narratives for leadership. This is a high-impact role for someone who thrives at the intersection of finance and infrastructure, and who is energized by building frameworks from scratch in a fast-moving environment. This position is based in San Francisco and requires in-person attendance 2-3 days per week. KEY RESPONSIBILITIES - Finance lead for GPU compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance - Build and maintain detailed bottoms-up financial models for the GPU fleet, including capacity forecasts, cost driver analyses, and investment scenario modeling - Develop deep expertise in GPU vendor contracts, pricing structures, and cost drivers, and surface optimization opportunities across the fleet - Serve as subject matter expert for Perplexity's compute capacity plan, owning source of truth on utilization, committed-versus-consumed spend, and capacity by vendor and cluster - Build internal token-cost curves distinguishing marginal from fully loaded serving cost, and translate them into internal and external token pricing - Analyze the ROI of in-house inference and training, including opportunity cost across chip types, cluster configurations, and workloads, distilled into a framework for capacity deployment - Partner closely with inference and infrastructure engineering to understand how serving and training workloads scale, and translate those technical dynamics into financial frameworks YOU MAY BE A GOOD FIT IF YOU HAVE - Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models - Extraordinary problem-solving and critical thinking abilities to develop new frameworks for assessing utilization and capital efficiency in a rapidly evolving industry - Attention to detail and patience for getting to the source of truth on complex and interconnected contract and usage data - Comfort being the finance person in the room with engineering leads and vendor counterparts, and adept at communicating complex financial information to non-finance audiences - A proven track record of partnering with technical teams to drive financial optimization initiatives, building enough trust to become indispensable to their roadmap and resourcing decisions - A bias toward action, strong work ethic, and experience driving operational outcomes under tight timelines - Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers and cloud service providers PREFERRED QUALIFICATIONS - 4+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure or datacenter experience - Experience in cloud or GPU infrastructure financial management, including direct work with major cloud service providers or neoclouds - Direct experience with committed-use economics — reserved capacity, savings plans, committed-use discounts — and GPU procurement - Deep expertise in GPU vendor economics, contract structures, and pricing models - Experience with chip architecture economics and optimization strategies - Proficiency with financial modeling tools

Perplexity74 дн назад

Strategic Finance Lead - Compute

PointClickCare74 дн назад

Canada- Jr Software Engineer (SRE)

Location: Remote or Mississauga Workplace: hybrid About the Role: As a Junior Site Reliability Engineer, you will learn how modern software systems are built, operated, and improved in production. You will work alongside experienced SREs who directly operate a small number of critical production services while also helping engineering teams improve reliability, observability, automation, and operational excellence. This role is designed for engineers who enjoy software development, automation, troubleshooting, and understanding how complex distributed systems behave under real-world conditions. You will gain hands on experience building and using AI powered operational tooling that helps engineers investigate incidents, improve observability, automate repetitive tasks, and eliminate operational toil. Key Responsibilities: Production Engineering Support the operation of critical services owned by the SRE team. Assist in monitoring service health, availability, and performance. Participate in incident response activities under mentorship. Learn on-call practices and production operations. Assist with deployment validation and operational readiness activities. Reliability Engineering & Observability Support implementation of monitoring, alerting, dashboards, and observability improvements. Learn how logs, metrics, traces, and events are used to diagnose production environments. Help identify monitoring gaps and areas for improved visibility. Participate in post incident reviews and reliability improvement initiatives. Develop foundational understanding of SLIs, SLOs, and Error Budgets. Automation & AI Operations Develop scripts and automation to eliminate repetitive operational work. Contribute to internally developed AI powered operational tools. Learn how AI can accelerate troubleshooting and root cause analysis. Support development of AI assisted runbooks and operational workflows. Help identify opportunities to reduce toil through software engineering and automation. Engineering Enablement Partner with development teams to better understand production systems. Assist teams in adopting reliability and observability best practices. Support operational readiness reviews. Learn how reliability influences software design and architecture decisions. Required Skills and Qualifications: 0-2 years of experience through employment, internship, or co-op programs. Degree or diploma in Computer Science, Software Engineering, or equivalent experience. Basic programming or scripting experience. Strong problem solving skills. Curiosity and desire to learn complex systems. Effective communication and teamwork skills. Preferred Qualifications: Exposure to Azure cloud services. Exposure to Kubernetes or containerized applications. Familiarity with observability platforms such as Datadog, AppDynamics, Grafana, Prometheus, or ELK. Interest in AI, automation, and distributed systems. Canada: At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base salary range for this position is $70,000 -$80,000 and fulltime benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Anthropic74 дн назад

Engineering Manager, Inference Infrastructure

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 Every request that hits Claude — from claude.ai , the API, our cloud partners, or internal research — depends on a set of decisions made before it ever reaches a model: where each request should be served and how much capacity each model needs right now. Getting those decisions right is crucial to satisfying throughput, reliability, and latency constraints. This group builds the control plane that makes those decisions for Anthropic's inference fleet and own the inference request path. This is a deeply technical group. The engineers here design placement and load-balancing algorithms, build quantitative models of demand, capacity, and system performance, improve latency across kernel, network, and framework boundaries, and reason carefully about how a change to the fleet ripples through everything that depends on it. You'll lead a strong group of ML platform, infrastructure, and distributed-systems engineers working alongside the teams that build our ML internals and cloud infrastructure. You need enough systems depth to make architectural calls, hire people who go deep, and see when a proposed change will ripple across the fleet. You're accountable for the health of the whole path from request to model: its efficiency, its reliability, and how well it evolves as models, hardware, and clouds change underneath it. Key responsibilities Own the technical roadmap for how the inference fleet is coordinated — where traffic goes, where capacity lives, how caches are placed, how fast the system reacts to demand, and the protocols that keep the control plane and the inference engines in sync Partner with the product, inference engine, performance, and capacity teams to identify throughput, latency, utilization, and cost wins, then turn those into shipped improvements with measurable results Build the group's habit of quantitative modeling: claim a win only when you can measure it, and know before you ship what the expected effect is Set technical strategy for how the control plane evolves across heterogeneous hardware, across multiple cloud providers, and across all our serving surfaces Run the group's operational backbone — on-call rotations, incident response, postmortem review, deploy safety — so the teams can ship aggressively without the system becoming fragile Create clarity at a seam: this group sits between the API surface, the inference engines, capacity planning, and the cloud deployment teams Develop and retain strong existing teams, and hire against a high technical bar Coach engineers through a roadmap where priorities shift Shape team structure as the scope grows: decide where the boundaries between problem areas should sit, and grow leads who can own each Pick up slack when it matters. These are small teams on a critical path; sometimes the EM is the one unblocking a stuck initiative or synthesizing a design debate Minimum qualifications Engineering management experience leading teams on critical-path production infrastructure at scale A deep systems background — load balancing, scheduling, cluster orchestration, autoscaling, cache-coherent distributed state, high-performance networking, or similar — with enough depth to make architectural calls about how a large fleet is coordinated and to evaluate candidates who go to the kernel and framework level Experience shipping performance or efficiency improvements in large-scale systems, and the ability to explain, with numbers, what the impact was — including the cost side, not just the latency side Experience running production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline A results-oriented, impact-driven approach, and comfort working in a space where throughput, latency, cost, stability, launch timelines, and feature velocity all pull in different directions Ability to build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours Curiosity about machine learning systems — you don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems Preferred qualifications 5+ years of engineering management experience Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation Background in cluster schedulers, autoscalers, load balancers, service meshes, or fleet control planes at scale (Kubernetes internals, Borg-style systems, or equivalents) Experience running workloads across multiple clouds or partner platforms, and the reliability and cost trade-offs that come with it Familiarity with heterogeneous accelerator fleets and how hardware differences affect workload placement and rollout sequencing Experience leading teams at supercomputing or hyperscaler infrastructure scale Experience leading multiple teams or a group through rapid-growth periods where hiring, onboarding, and team splits competed with roadmap delivery 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: $405,000 — $625,000 USD 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.

Xelix74 дн назад

Senior Product Manager

Location: London, United Kingdom Workplace: hybrid About us At Xelix, we work with some of the world’s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate – moving from manual processes to automated, intelligent workflows. Xelix is a fast-paced scale-up – things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team 150 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together. In this role you’ll grow, be challenged and help shape the future of Xelix. If you’re excited about building something special with us, we’d love to hear from you. What you'll be doing We’re hiring a Senior Product Manager to work on a core product area (strategy, roadmap, and outcomes) within our B2B SaaS platform. PM’s at Xelix don’t do delivery-only work and we’re not a feature factory. The expectation is that you understand problems deeply , make good decisions , and own the outcomes — even when things are ambiguous or messy. You’ll work closely with Engineering, Design, AI Engineering, and go-to-market teams to set direction, align teams, and drive measurable customer + business impact. Own a product area (not just a backlog) Take clear ownership of a product area, including defining the strategy, problem thesis, and what success looks like and how it will be measured. Spend time getting to the root of problems before jumping to solutions, synthesising evidence across customers, data, and internal teams. Make prioritisation decisions and trade-offs, and explain them clearly including when to double down, sequence differently, or stop work that isn’t delivering impact. Discovery and Decision-Making Run focused, proportionate discovery using customer interviews, data, and internal expertise enough to build confidence in decisions, not to delay them. Work closely with stakeholders, but take responsibility for the final call. Say no when needed, delivering a clear why backed by context and reasoning. Bring stakeholders with you through calm, high-context decision-making. Validate the biggest assumptions quickly before committing teams to build, using the fastest credible methods to reduce risk. Lead through influence Create alignment across Engineering, Design, AI Engineering, and GTM on what we’re doing, why we’re doing it, and why now. Navigate disagreement on approach (product vs solution, speed vs quality, short-term vs long-term) with clarity and good judgment. Proactively manage cross-team dependencies and unblock progress in ambiguous environments. Ship, Learn, and Adapt Work with a cross-functional squad to deliver iteratively and get real feedback early and often. Treat launch as part of the work, not the finish line. Work closely with Marketing, Sales, Account Management, and Services so teams understand the what and why to make sure what we ship can be sold, supported, and adopted. Track adoption, usage, behaviour change and feedback to understand whether value was actually created and where iteration is needed. Define leading indicators early and ensure we can measure what matters. Strategic & commercial impact Partner with Commercial and Customer teams to understand revenue/retention drivers and translate them into the highest-leverage product opportunities. Balance scalable product bets with platform health and customer realities, making principled trade-offs. Contribute to product strategy beyond your immediate scope by surfacing insights, risks, and opportunities. Communicate Clearly PMs should be able to tell clear, compelling stories, and elicit them from others. Always adapting to the audience. Write and speak in a way that makes complex things easier to understand. Be clear about intent, context, and decisions. What Success Looks Like After 6–12 months: You clearly own and shape a product area that matters, with clear evidence of customer and business impact. Teams understand why work is happening, not just what . Launches show real adoption and impact, and you iterate quickly when the data disagrees with the plan. Stakeholders trust your judgment, even when you push back, because your decisions are high-quality and well-communicated. What you’ll bring You’ve spent significant time building B2B SaaS products in complex problem spaces and can point to measurable outcomes you’ve owned. You care more about outcomes than output. You’re comfortable making decisions with incomplete information and owning the consequences. You can zoom into detail without losing sight of the bigger picture. You operate well in ambiguity: you create clarity, alignment, and momentum where none exists. You use AI as a practical tool to increase your leverage and efficiency; well beyond “Claude, improve my writing.” You apply clear judgment about when AI meaningfully improves product outcomes. You like working in environments where expectations are high and ownership is real. Bonus Experience in fintech, accounting, or financial operations software. Exposure to data-heavy or ML-enabled products. What we offer in return 💰 Competitive salary of £85,000 - £95,000 depending on experience 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office 💪 On-site gym and cycle to work scheme 🛍️ Employee discount at over 100 retailers 🏥 Comprehensive private medical & dental cover with Vitality 🍼 Enhanced parental leave pay 📚 Learning & development culture – £1,000 personal annual budget 🌍 We’re carbon-neutral and are working towards ambitious carbon reduction goals 🎯 Lots of team socials & activities ☀️ Annual team retreat Want to learn more? About us Xelix blog Xelix news Xelix glassdoor We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate! If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach. This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday. Interview Process While the exact process may vary slightly depending on the role, our typical interview stages are: Introductory Call – A short Teams conversation with a Talent Partner to discuss your background and the opportunity. Hiring Manager Interview – A 30–45 minute Teams meeting to explore your experience and fit for the team. Technical Task or Presentation – A role-relevant exercise to demonstrate your skills and approach. Final On-site Interview – An in-person meeting with our senior leadership team and co-founders at our office. We strive to make the process clear, efficient, and respectful of your time.

Anthropic74 дн назад

Engineering Manager, Scheduler and Fleet Efficiency

Location: San Francisco, CA | New York City, NY 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 Anthropic's compute fleet is one of the largest and most varied in the world, and everything we do from training frontier models to serving Claude depends on getting the right work onto the right hardware at the right time. Our Scheduler team owns that problem. We build the scheduling layer for Anthropic's Kubernetes fleet, the tools researchers and engineers use to launch and manage their jobs, and the systems that make sure the fleet is used as efficiently as possible. When a researcher starts a run, the scheduler decides where it lands and how quickly; when demand outstrips supply, it decides who waits. This team provides the paved path that lets everyone at Anthropic get compute when they need it without becoming an expert in the infrastructure underneath. We're looking for an engineering manager to lead this team. The scheduler is on the critical path for nearly all of Anthropic's compute, and the mandate is expanding quickly: making scheduling work seamlessly across a growing, heterogeneous fleet; raising utilization while keeping jobs starting fast; making the system's decisions predictable and explainable to the people who depend on it; and making the job-launch experience something researchers rarely have to think about. You'll lead a team building infrastructure that the entire research and product organization depends on, and you'll partner closely with capacity planning, research, inference, and product teams to make efficient use of the fleet. Key responsibilities Lead and grow a team of engineers building Anthropic's scheduling platform, job-launch tooling, and fleet-efficiency systems, owning planning, execution, and delivery against key milestones Set technical direction for scheduling, placement, queueing, and quota across Anthropic's compute fleet Partner with capacity planning, research, inference, and product teams to bring workloads onto the paved path and make efficient scheduling decisions Drive the roadmap for scheduler capabilities, fleet utilization, and the developer experience of launching and managing jobs Define and track the metrics that measure fleet efficiency and scheduling quality (utilization, queue wait, job-start latency, etc.) and hold the team accountable to them Create clarity for the team and stakeholders in an ambiguous, fast-moving environment where demand for compute routinely exceeds supply Take an inclusive, equitable approach to hiring, coaching, and career development, and sustain a high-performing, healthy team Represent the team across the engineering organization and contribute to engineering-wide initiatives as a member of Anthropic's engineering management group Minimum qualifications Experience managing and growing a team of software engineers A hands-on software engineering background as an individual contributor prior to moving into management Experience building or operating large-scale distributed or infrastructure systems in production Working knowledge of Kubernetes and cluster scheduling concepts, such as resource requests and limits, affinity, priority and preemption, and custom schedulers or controllers Excellent written and verbal communication skills, including the ability to create clarity across teams Preferred qualifications 5+ years of engineering management experience, including leading infrastructure, platform, or compute teams Experience owning a cluster scheduler, job orchestration system, or resource manager at scale Familiarity with scheduling ML workloads on accelerators and the tradeoffs between utilization, fairness, and latency Experience building developer tooling that other engineers rely on every day A background in observability or incident response for control-plane systems, and a track record of improving production reliability A track record of building a culture of belonging and of engineering excellence Low ego, high empathy, and a habit of leading by example 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: $405,000 — $485,000 USD 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.

loveholidays74 дн назад

Lead Pricing & Revenue Manager

Location: London Workplace: Hybrid Why loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. We’re using progressive tech to drive cutting-edge innovation and open the world to everyone. Within our Commercial and Support teams, you'll find a place to accelerate your growth by actively seeking learning opportunities and carving your own path. You'll create impact for our future by owning projects and shaping the business strategy to reach shared goals, all within our enhanced international community of collaborative and passionate teams. About the team The Revenue Management team is responsible for maximising final margin and driving sustainable growth by strategically managing key commercial levers, including pricing, payment plans, and cancellation terms. The impact you’ll have Reporting to the Head of Pricing and Revenue Management, you will lead the Revenue Management Centre of Excellence. You will shape the strategy, policies and capabilities that enable confident pricing, payment-plan and cancellation-term decisions across the business. Working with Platform and commercial teams, you will set the principles, guardrails and ways of working that support scalable, long-term commercial performance. Your day-to-day: - Shape cross-market Revenue Management strategy, setting clear commercial principles, policies and decision guardrails. - Use market and operational insight to identify structural opportunities to strengthen our pricing power and long-term commercial performance - Lead cross-functional strategic initiatives and experiments with commercial and Platform teams from concept to delivery, navigating trade-offs. - Identify high-value AI use cases and apply AI tools to improve the Revenue Management team’s efficiency, capacity and quality of output. - Partner with Platform to shape the roadmap for new Revenue Management and AI capabilities, translating commercial needs into scalable systems and tools. - Develop and embed consistent methods, playbooks and operating rhythms that strengthen the Revenue Management function. - Act as a trusted commercial sounding board, bringing Revenue Management insight to decisions and initiatives across the business. Your skillset: - Significant experience in Revenue Management, pricing strategy or a comparable commercial role, shaping direction across markets, products or customer segments. - Excellent commercial judgement, able to navigate ambiguity, challenge assumptions and make well-reasoned trade-offs that support long-term value and growth. - Advanced analytical and experimentation skills, able to set robust measurement approaches and use evidence to inform strategic choices. - Proven ability to lead complex cross-functional programmes, building alignment with commercial and platform stakeholders around shared outcomes. - Strong technical and product awareness, able to translate commercial needs into scalable capability roadmaps and identify high-value applications of AI and automation. - Credible, influential communication skills, able to turn complex analysis into clear, compelling narratives for senior stakeholders and cross-functional audiences Desirable: - Travel-sector or marketplace experience - Experience using AI tools to increase team effectiveness and improve commercial decision-making. - Experience with SQL, Looker or comparable analytical tools. The interview journey: - TA screening - 30 mins - 1st stage with Hiring Manager - 45 mins - 2nd stage with key stakeholders including a task to present, in office - 1.5 hours - Final stage with Chief Data Officer - 30 mins

Voodoo74 дн назад

Operations Engineer- V.I.E- New York- Blitz

Location: New York Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Blitz, launched by Voodoo in 2021, is a gaming platform enabling players to compete in mobile games for real cash prizes through head-to-head matches, tournaments, and leagues. By leveraging a unique game library, Blitz engages users in a fun, competitive, and rewarding way. ROLE Join Blitz as an Operations Engineer and become a driving force in our platform's operational success. You'll lead automation, technical product ownership, and data-driven decision-making across Payments, Fraud, Support, Finance, and CRM. MISSIONS - Serve as a technical product manager across Payments, Fraud, Support, Finance, and CRM, managing requirements, creating technical specs, and analyzing post-release data - Analyze operational data to uncover insights and identify key business levers to enhance efficiency and user experience - Proactively automate processes by identifying system bottlenecks, designing workflows, and developing Python scripts or Proofs-of-Concept (PoCs) - Collaborate with engineering, product, and business teams to design scalable solutions to operational challenges - Monitor platform performance and KPIs, flag risks, and recommend data-driven improvements - Build internal tools and automate repetitive processes to boost team productivity - Document systems, processes, and technical specifications clearly and systematically PROFILE - Graduate of a top-tier French engineering school (École Polytechnique, Mines, CentraleSupélec, Ponts, or equivalent) with 1+ years of professional experience - Eligible for the V.I.E. program (EU citizen, under 28 years old at departure) - Proficient in Python: able to write scripts, develop internal tools, interact with APIs, and manipulate data; familiarity with AI-assisted workflows is a plus - Genuine generalist and “Swiss Army knife”—comfortable with both high-level strategy and hands-on implementation - Highly proactive and accountable: thrive in ambiguity, identify challenges, and take initiative without waiting for direction - Strong analytical mindset, attention to detail, and a structured problem-solving approach - Previous experience in a US tech company or French tech scale-up is a strong asset - Fluent in English (work language); French is a plus BENEFITS - Compensation and benefits in line with the V.I.E. program (fixed structure — not at Voodoo’s discretion) - Additional benefits depending on the country of residence

Wargaming74 дн назад

Gameplay Engineer (World of Warships)

Location: Belgrade Job Overview Wargaming is looking for a Gameplay Engineer to work in the World of Warships Meta Team in our Belgrade office. The Meta Team develops and maintains long-term, player-facing systems, including meta-gameplay activities, player progression and property, combat missions, achievements, and statistics. The work spans the game client and supporting backend systems, focusing on meta-gameplay rather than moment-to-moment combat. Most feature and business logic is written in Python. We value clear thinking, the ability to understand unfamiliar systems, and a willingness to learn more than experience with any particular framework. You will join through a proven onboarding path and progressively take ownership of feature delivery in a large, established system. What will you do? Own features from requirements clarification and design through implementation, release, and maintenance Develop and maintain meta-gameplay features across client and backend systems Work with persistent state, asynchronous flows, and integrations Investigate bugs, state inconsistencies, and production issues Collaborate with game design, product, QA, production, and engineering teams What are we looking for? Practical software development experience, professional or through substantial self-directed projects Ability to understand and safely modify unfamiliar code Understanding of data modelling, stateful and asynchronous applications Ability to clarify requirements and communicate technical findings clearly Self-directed learning, curiosity, and strong communication skills Technical English for documentation, code, and comments Readiness to work in Belgrade, Serbia Technology stack Game server/client development: Python 2.7, proprietary pipelines Web development: Python 3.10+, asyncio What additional skills will help you stand out? Experience with FastAPI or Django Knowledge of Golang or C++ Understanding of frontend development with JavaScript/TypeScript Experience maintaining long-lived production systems Experience diagnosing concurrency, state, or integration issues Experience with generated code or schema-driven systems A game mod, private server, bot, emulator, or reverse-engineering project We are looking forward to welcoming specialists to the team. We are ready to mentor you and help with everything you may need to succeed in the role. Work mode Hybrid (3 days of work from the office). This role isn't eligible for relocation & immigration support. Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Belgrade include: Additional vacation days based on years of service at Wargaming: up to 5 days on top of the statutory minimum Additional paid time off (5 Personal Days, Birthday Leave, Marriage Leave, Compassionate Leave) Sick Leave Compensation, Maternity Leave Benefits Premium Private Health Insurance Career development and education opportunities within the company English clubs and platform for learning languages Mental well-being program (iFeel) Commuting allowance Company events FitPass membership Discounts for employees Personal Gaming Account Coffee, fruits, and snacks in the office On-site canteen with subsidized prices for food and drinks Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Wonderful74 дн назад

GTM

Location: Austria Workplace: Remote GTM (F/M/X), AUSTRIA, HYBRID, AGENTIC AI What you will do As a GTM at Wonderful , you will drive country-wide growth by helping enterprise leaders bridge the gap between Generative AI experiments and Agentic AI outcomes. You lead and close high-stakes deals across the region, expand existing relationships, and turn complex sales cycles into durable revenue streams. This is a hunter role for senior sales professionals who enjoy ownership, autonomy, and are accustomed to winning complex enterprise deals in fast-moving environments. - Build and grow trusted relationships with CxOs, IT leaders, and C-level executives in large enterprises - Own and expand strategic accounts, turning them into long-term success stories - Open new client relationships and land net-new customers across the region - Drive measurable growth within the accounts you own - Hit and exceed activity, pipeline, and revenue targets - You lead commercial discussions across pricing models, legal terms, and procurement processes in enterprise environments - Sell on value, not features, using a solution-based approach tied to real business outcomes - Maintain accurate and actionable account data in Salesforce, including use cases, timelines, forecasts, and next steps - Work closely with internal teams to ensure smooth handovers and long-term customer success You will spend time engaging senior stakeholders, navigating complex buying processes, and building credibility through clear, outcome-driven conversations. Why should you - You will be part of the local founding team of what is tipped as the fastest growing startup in Europe - You’ll close the first logos and aim for €500k+ deals - Work on a cutting-edge agentic solution leading the field in the shift from generative AI to Agentic AI - You will join a team of high-agency builders coming from the best tech companies out there - Never boring, you will be solving problems for and with the biggest enterprises in Austria - A mix of home office and travel to customers in Austria - Great salary, excellent commission structure, and early-stage share options Who you are - Several years of consistently exceeding sales targets in SaaS or AI-driven solutions - Proven experience closing large, complex enterprise deals with multi-stakeholder buying cycles - Exceptional communication, presentation, and negotiation skills - Ability to work independently, manage a pipeline, and prioritise effectively - Strong relationships with CxOs and senior decision-makers at enterprise level - A hunter mentality with a record of generating new opportunities and closing deals - Comfortable operating in early-stage, high-growth environments with limited oversight - Able to translate technical capabilities into clear, compelling business value - Proven success working with System Integrators and Hyperscalers on joint enterprise deals - Fluent English plus fluent German, with confidence communicating at executive level Nice to have - Experience selling AI, automation, or data-driven platforms - Background working with complex enterprise customer service or operations environments - Experience building a territory or vertical from an early stage - Familiarity with modern enterprise buying processes and long sales cycles Apply here. Everyone will receive a response. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

MariaDB plc74 дн назад

Senior Data Analytics Engineer

Location: Remote - Bulgaria MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development. About the Role We're looking for a Senior Analytics AI Platform Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business. Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable. Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you. Key Responsibilities Design, build, and maintain analytical pipelines and reporting solutions on BigQuery and MariaDB Write sophisticated, performant SQL to extract insights from large-scale datasets Leverage AI and machine learning features to augment analytics workflows and deliver smarter outputs Use AI-powered development tools (Windsurf, Gemini, Claude, Cursor) to accelerate your workflow and deliver at a higher level Develop internal tooling and automation using Python, FastAPI, and modern frameworks Communicate findings clearly to technical and non-technical stakeholders-translate data into action Understand and document data architecture, lineage, and how information flows across systems Collaborate on business process analysis and process design improvements driven by data Proactively identify opportunities for deeper analysis, better tooling, and operational improvements Requirements & Qualifications 7+ years of professional experience in data analytics engineering, data engineering, or a related field Expert-level SQL - you think in joins, window functions, and CTEs; BigQuery and MariaDB experience strongly preferred Strong Python and/or JavaScript skills - comfortable building pipelines, internal tools, APIs, and automation; not just scripts js experience - ability to build data-facing web applications and internal dashboards Deep understanding of data architecture - how databases are structured, how data flows, how schemas evolve Hands-on experience with AI/ML - you stay current with the latest capabilities (LLMs, generative AI, embeddings) and know how to apply them practically Proficiency with AI-powered development tools - Windsurf, Gemini, Claude, Cursor, or similar; you use AI to multiply your output, not as a crutch Excellent communication skills - you can explain complex analysis to anyone in the room Self-sufficient and self-managing - you own your work end-to-end without needing to be told what to do next Ambitious and continuously improving - you seek out new skills, tools, and techniques on your own A public GitHub profile with examples of your work (personal projects, contributions, experiments) Nice to Have FastAPI experience for building internal APIs and services Background in business process design or operational analytics Exposure to multiple business departments (Finance, Marketing, Sales, Operations, Engineering) - you understand how data flows across an organization, not just within one silo Understanding of Docker and Kubernetes - containerization and cluster orchestration experience is a big plus Location – Bulgaria (Hybrid, Sofia) Travel - As required for the job (minimal). What's in it for you? Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry. You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more. Salaries for candidates outside the U.S. will vary based on local compensation structures. Compensation Salary Range : 30,000 - 38,500 Euro per annum (gross salary) Please note: The starting salary offered will be commensurate with the candidate's skills, qualifications, and relevant experience, in alignment with our gender-neutral compensation framework. How to Apply If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site. At MariaDB we celebrate the diverse experiences and perspectives of our employees because this drives innovation and success. MariaDB is an equal opportunity employer dedicated to creating a welcoming and inclusive workplace for everyone. MariaDB does not sponsor work visas or relocation. MariaDB is committed to providing accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MariaDB will not accept agency resumes without a prior contractual agreement with HR. Please do not forward resumes to any recruiting alias or employee directly. MariaDB is not responsible for paying any fees associated with any unsolicited submitted CV/Resumes.

Nexo74 дн назад

Account Manager, German & English

Location: Sofia, Bulgaria Driving the next generation of wealth. Digital assets are redefining how wealth is created, used, and transferred. Since 2018 at Nexo, we have been building the future model of financial wealth - dynamic, accessible, and designed for a new generation of forward-thinking investors. But technology alone doesn’t drive progress. People do. We are a team of builders, strategists, analysts, creatives, and operators united by a shared mindset: advancement. We move fast, think long term, and take ownership. We challenge ideas, not people. We value clarity over noise and impact over optics. What makes Nexo different? We shape industry trends. We rethink how wealth works and build solutions that reflect that belief. That requires a certain kind of person. You will thrive here when you think independently and act decisively, take ownership without waiting for permission, and care deeply about quality, long-term value, and disciplined execution. The people who succeed at Nexo bring analytical depth, sound judgment, and resilience - but also curiosity and the drive to keep improving. This is an environment for people who want to lead, create, and elevate what already exists. If building what’s next excites you, you’ll feel at home at Nexo. Official website: nexo.com Your role: You will manage the accounts of a list of selected high-net-worth individuals from all parts of the world. You will use predominantly email, phone, and Telegram to build and maintain strong, long-lasting relationships. You will maximize the revenue earned from each account by understanding your clients' needs and satisfying them with Nexo's products and services. You will ensure credibility with clients by maintaining detailed knowledge of Nexo's product portfolio, current market conditions, and competitors’ products. You will be making sure your Salesforce records are up-to-date so management can work with accurate data. What makes you stand out : 3-5 years in a sales or account management role in a Fintech or Financial services company. Ability to build strong relationships with customers and colleagues. Ability to manage, follow and execute account management processes from start to finish. Excellent English and German language skills, complemented with an ability to adapt communication style according to the audience is a must. Self-driven, with the ability to deliver results in a high-paced environment. Passion for digital assets and knowledge of developments in the decentralized finance and related crypto ecosystems is a bonus. Nexo benefits: Competitive and rewarding remuneration package. Annual performance-based bonuses. Comprehensive Learning Hub for continuous growth. Hybrid work model: primarily office-based with scheduled home office flexibility. A dynamic and inspiring environment with cutting-edge projects. Career development opportunities in a global leader driving the next generation of wealth. Customizable personal benefits package. Wellness benefits include additional health insurance, all-access sports cards, team-wide sports activities, standing desks, and blue light glasses. Parking and public transportation cards at preferential rates, plus free electric bikes. Fresh fruits, snacks, and a well-stocked office kitchen. Regular department team buildings and company-wide team buildings.

Aidoc74 дн назад

AI Software Tech Lead, ML

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role This is a AI Software Tech Lead, ML role within Aidoc’s AI Engineering group, focused on building and scaling the infrastructure behind advanced AI solutions in computer vision and NLP for medical imaging. The role combines hands-on software development, technical leadership, and close collaboration with cross-functional teams to transform AI innovation into scalable, high-impact products. Responsibilities Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging. Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features. Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems Develop and maintain high-quality, scalable, and efficient code. Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems) Requirements BA/BSc/MSc in Computer Science, Engineering or a related field. 7+ years of experience in developing large scale production systems – including architecture design, research, development and testing. Deep understanding of Computer Science fundamentals – object-oriented design, code optimization, and complexity Passion for building generic and robust software architecture Passion for elegant and effective technological solutions, and a love for clean code Strong experience with Python and advantage to deep learning frameworks such as TensorFlow, PyTorch, etc. Strong ability to lead end-to-end development processes Advantage: Experience in developing AI and machine learning solutions, with a focus on computer vision and NLP. Strong communication and collaboration skills, with the ability to work effectively with a cross-functional team Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Wargaming74 дн назад

Art Manager/Lead Art Owner (World of Tanks, PC) (m/f/i)

Location: Warsaw Job Overview We are looking for a Art Manager/Lead Art Owner to manage a team of 14 Art Owners supporting World of Tanks game production. This role combines people management, resource planning, production coordination, and process improvement to ensure the Art Owner's team operates effectively and the art pipeline runs smoothly. Art Manager/Lead Art Owner will work closely with cross-functional stakeholders - Art Direction, Art Management, Production, Project Management, and Design. Art Manager/Lead Art Owner will oversee workload, balance scope against capacity, support delivery planning, grow team capability, and drive cross-functional alignment. This role requires a strong understanding of art production, excellent communication skills, and an openness to innovation, including AI-driven workflow improvements. Reports to Art Department Manager What will you do? Partner with production and art leadership on resource planning and proactively address bandwidth or staffing risks Ensure clear priorities, ownership, and escalation paths for the Art Owner's team Improve task handoff, delivery flow, and coordination across the Art Owner's function Help Art Owner's team to identify and remove bottlenecks, mitigate risks, and ensure smooth art production delivery Act as a key point of contact for cross-functional stakeholders - Producers, Art Directors, Art Managers, Project Managers, and Design Strengthen stakeholder alignment, team collaboration, and communication transparency Review and improve Art Owner's-related processes, workflows, and best practices Drive innovation through smarter ways of working, including AI-enabled tools and automation where relevant Lead a team of Art Owners Conduct regular 1:1s, provide feedback, and manage performance through quarterly/annual goals and regular reviews Monitor Art Owner's workload and utilization , balancing scope and capacity across the team Coach and mentor the team in terms of their long-term skills development What are we looking for? 3+ years of experience leading or managing teams of at least 6 people in game development, ideally in a AAA environment Strong people management skills, including coaching, feedback, and performance reviews Experience in resource management, workload balancing, and production planning Proven ability to work closely with art teams and cross-functional stakeholders Previous hands-on experience in 2D, 3D, or another relevant art discipline Solid understanding of art production pipelines and delivery workflows Experience improving processes in complex, multi-stakeholder environments Strong communication , stakeholder management, and alignment skills English skills (B2+), written and spoken What additional skills will help you stand out? Familiarity with AI tools, automation, and/or workflow innovation in game production Work mode Full-time employment Hybrid (2-3 days of work from the office) Candidates must be legally authorized to work in Poland at the time of application This role is also open in our offices in Nicosia, Belgrade, and Vilnius Type of Contract and Salary Employment Contract (umowa o prace) The salary range for this role is 20000-37000 PLN gross monthly ( The final salary within the range will depend on the candidate’s experience, skills, and performance during the interview. Please note that this salary range applies to Poland; for other locations, it might be different.) Benefits Benefits and perks are tailored to the local market and culture. Our benefits in Warsaw include: Additional paid time off (5 Personal Days, Birthday Leave) on top of the statutory minimum Sick Leave 100% Compensation (10 days per calendar year) Career development and education opportunities within the company Premium Private Health Care Mental well-being program (iFeel) Multisport card Personal Gaming Account Company events Seniority Awards Referral program - you can recommend the best talents to the Company and receive a reward Please submit your CV in English to ensure smooth processing and review. About Wargaming Wargaming is an award-winning online game developer and publisher headquartered in Nicosia, Cyprus. Operating since 1998, Wargaming has become one of the leaders in the gaming industry with 15 offices worldwide, including studios in Chicago, Prague, Shanghai, Tokyo, and Vilnius. Our diverse and multicultural team works together to deliver a top-class experience to millions of players who enjoy Wargaming's titles across all major gaming platforms. Our flagship products include free-to-play hits World of Tanks, World of Warships and World of Tanks Blitz. Please see Wargaming Candidate Privacy Policy for details on how Wargaming uses your personal data.

Asana74 дн назад

Corporate Account Executive, DACH

Location: Munich We are entering a new era of work — one where AI agents collaborate alongside people to plan, act, and deliver outcomes at a scale and speed that wasn't possible before. At Asana, we call this Agentic Work Management: the orchestration of humans and AI agents toward shared goals, with full clarity on who is responsible for what, every step of the way. As a Corporate Account Executive, you will be at the forefront of this shift. You won't just be selling software — you'll be helping DACH organisations understand and solve their most pressing work management challenges, and guiding them toward a future where their teams and AI agents move together with purpose and trust. This role is based in our Munich office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Lead with Discovery: Open every engagement with genuine curiosity to uncover hidden friction, misaligned priorities, and coordination failures that cost customers time, money, and trust. Surface Real Pain: Ask the questions that reveal deep operational challenges—not just the stated need—so that solutions you propose are anchored in what actually matters to the business. Map Stakeholder Motivations: Map stakeholder motivations from frontline teams to the C-suite, identifying where the greatest leverage lies for transformative change. Drive Customer Outcomes: Manage a portfolio of corporate customers with a relentless focus on measurable business impact and outcomes that your champions can proudly report upward. Expand Account Revenue: Hunt and develop new business within your book while deepening relationships across existing accounts, expanding usage into new teams and departments. Engage Executive Leadership: Engage executive and IT stakeholders to align on organisation-wide deployment of Asana, making it the connective tissue between human decision-making and AI-driven execution. Territory Strategy Execution: Design and execute a clear quarterly territory strategy aimed at revenue growth and long-term customer success. Build Trust in Collaboration: Help customers envision and confidently adopt a new way of working where AI agents are trusted teammates with clearly defined roles. Articulate Platform Value: Articulate how Asana's Agentic Work Management platform provides the structure, accountability, and transparency needed to make human-AI collaboration reliable and scalable. Champion Ownership Shifts: Champion the shift from activity-based work to outcome-based work, showing how clarity of ownership accelerates what organisations can achieve. Guide AI Adoption: Act as a credible, empathetic guide for customers who are excited about AI's potential but uncertain about where to start, building the safety needed to take bold steps forward. Orchestrate Internal Partnerships: Collaborate closely with Sales, Marketing, Solutions Engineering, and Customer Success to orchestrate seamless, high-value customer journeys. Pioneer Sales Innovation: Experiment with new approaches and share what works, scaling regional innovations globally. About you Consultative seller who leads with questions before answers, building long-term revenue on trust and customer success. Fluency in written and spoken German and English, communicating with precision and warmth in both. Proven ability to run a structured, repeatable sales process (e.g., MEDDPICC, Sandler, Challenger) with discipline from first call to close. Track record of building your own pipeline through proactive prospecting rather than relying on inbound leads. Deep skill in discovery, possessing the ability to listen past the surface, ask uncomfortable questions with care, and connect pain to possibility. Experience managing complex, multi-stakeholder corporate or enterprise sales cycles end-to-end. High emotional intelligence, building trust quickly, navigating ambiguity calmly, and treating every customer interaction as a long-term investment. Proactive, accountable, and outcome-oriented demeanor, setting clear goals and executing with rigour. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the On-Target Earnings (OTE) range is €150,000 – €190,000. The total OTE includes a base salary range of €82,500 – €104,500 and performance-based sales incentive pay (based on the terms of the Sales Incentive Plan). These ranges are a guideline; actual base salary and OTE may vary based on various factors, including market and individual qualifications objectively assessed during the interview process, and the ranges for this role may be modified. In addition, your compensation package may include additional components such as equity and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

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