Location: Remote - Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role
Alpaca's product team is looking for a Product Manager to own Alpaca's regulated crypto trading and yield surface: spot or perps exchange, fiat and stablecoin funding rails, staking / lending and the crypto API that partners build on.
You will partner deeply with engineering, compliance, legal, partnerships, and the broader Alpaca product team to ship regulated crypto infrastructure at scale. You will help shape and grow the crypto product itself, and you will be expected to provide early signal on US policy changes rather than react after rules formalize.
Things You Get To Do:
Own the spot crypto exchange product surface - pair coverage, order types, availability in various jurisdictions and the partner facing experience for trading crypto on Alpaca.
Lead integrations that unlock funding and liquidity with LPs and custodians. Own the stablecoin funding flow, including paths for USDC and other regulated / GENIUS-aligned stables.
Work with partners to understand crypto needs for fintechs, neobrokers, and institutional platforms. Expand supported networks and coins that balances partner demand and custody readiness.
Drive staking and lending / earn product design within regulatory and ops constraints.
Shape a crypto API surface that treats developers and agents as primary customers: SDKs, reference integrations, changelog discipline.
Lead and execute the product case for crypto perps.
Who You Are (Must Haves):
Excited about what Alpaca is building and ready to own a core regulated crypto product surface.
Bachelor's degree in computer science, engineering, finance, or equivalent.
5+ years of experience in Product Management, Engineering, and/or starting a startup, preferably within crypto exchanges, brokerage, market making, custody, or financial infrastructure.
Demonstrated depth on at least one core crypto product surface at production scale: spot trading / exchange, custody / wallets, fiat or stablecoin funding rails, staking / earn or derivatives / perps.
Strong understanding of crypto market structure - order books, liquidity providers, spreads, slippage, settlement, and how B2B / API-first platforms differ from retail-only exchanges.
Experience shipping in a regulated environment alongside Legal, Compliance, Risk, and Operations - comfortable with ambiguity and real-time tradeoffs.
Proven ability to run partner / customer discovery and turn it into a prioritized roadmap; excellent written and verbal communication across engineering and executive audiences.
Business acumen to weigh ROI, partner demand, regulatory risk, tech feasibility, time, and budget.
AI-native PM workflow; AI is part of your daily stack in getting work done.
Who You Might Be (Nice-to-Haves):
Direct experience at a crypto exchange, broker-dealer, custodian, market maker, or institutional crypto infrastructure provider.
Experience building developer-facing crypto APIs used by quants, algo traders, or automated / agentic systems.
Familiarity with staking, lending / earn, perpetual futures, and the operational and regulatory constraints of offering them through a licensed entity.
Background combining regulated financial-product context (broker-dealer, payments, custody) with crypto native infrastructure (wallets, L1/L2, on-chain settlement).
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
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
Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.
We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:
Scaling and infrastructure.
Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
Velocity.
The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
Inference engine.
The software between the accelerator kernels and the routing layer that serves every request.
Performance.
Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.
This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.
Key responsibilities
Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
Own inference readiness for model launches alongside our launch TPMs.
Minimum qualifications
7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
Strong written communication, including plans, reviews, and executive updates that many teams depend on.
Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
Care about Anthropic's mission and about serving frontier AI safely and reliably.
Preferred qualifications
Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
Familiarity with Kubernetes-based orchestration and job scheduling.
Experience working with research teams and turning their needs into infrastructure requirements.
Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.
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:
$290,000
—
$435,000 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.
Задачи:
— Определять и приоритизировать инструменты для операций с роботами, тестирования, рабочих процессов с данными и внутренних пользователей.
Требования:
— null
Условия:
— Работа в офисе в Redwood City, CA
— Зарплата от $180,000 до $270,000 в год
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Задачи:
— Управление процессами построения, доставки и готовности к эксплуатации командного центра.
Требования:
— Опыт работы с инфраструктурой, SRE, Smartsheet, управлением проектами, SCRUM, управлением инцидентами, ITSM.
— Знание инструментов мониторинга и аналитики: Grafana, Power BI, Prometheus, Splunk.
— Навыки работы с Jira, RAID, сетевыми технологиями, автоматизацией, наблюдаемостью и безопасностью.
Условия:
— Работа в офисе в Ченнаи.
Northern Data is looking for a Revenue Operations and CRM Manager to own CRM systems, improve revenue processes, and build forecasting and reporting infrastructure.
Задачи:
— владение CRM-системами
— улучшение процессов дохода
— построение инфраструктуры прогнозирования и отчетности
Требования:
— опыт работы с CRM-системами и инструментами бизнес-аналитики
Условия:
— удаленная работа
Location: San Francisco
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.
Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren’t designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren’t built for this, and patching around those limitations at higher layers only goes so far.
Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabric team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world’s top containerd maintainers.
As Engineering Manager for Storage Products on the Runtime Fabric team, you will lead the engineers who build and run the storage products behind that stack: the Baseten Delivery Network (BDN), which sits in the cold start path of every model on the platform, the snapshotters and filesystems that expose model weights and container images to a running container, and the storage that model deployment and training need next. The team is advancing the next generation of caching for inference workloads, from the origin tier to the GPU host. You will own reliability for the area as a measured outcome, report to the head of Runtime Fabric, and stay close to the code through design and code review. If you’ve managed systems engineers and have hands-on experience with caching, content-addressable storage, or distributed filesystems, we’d love to talk.
EXAMPLE INITIATIVES
- How the Baseten Delivery Network (BDN) makes cold starts fast https://www.baseten.co/blog/how-the-baseten-delivery-network-bdn-makes-cold-starts-fast/
- Extending BDN from model weights to container image layers, training checkpoints, and deployment artifacts
- Lazy-loading snapshotters and block-level delivery (EROFS, FUSE, ublk) so a container can start before the full image or model has arrived
RESPONSIBILITIES
Team Leadership and Culture
- Hire and grow a team of 5 to 10 systems engineers with storage, caching, and Linux expertise
- Run the team’s planning and delivery: scope work against the Runtime Fabric roadmap, set priorities, and ship on a predictable cadence
- Provide regular coaching, feedback, and career development support to your direct reports
- Own on-call health for the team’s services, including escalation paths and follow-through on incidents
Technical Direction
- Guide the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery product that makes cold starts 2-3x faster and eliminates thundering herd failures during burst scaling events
- Shape storage products tailored to Baseten’s workloads: extend BDN from model weights to container images, training checkpoints, and deployment artifacts, and define the interfaces that model deployment, training, and customers use to reach them
- Oversee the on-host side of delivery: lazy-loading snapshotters, EROFS and overlayfs layouts, and block-level delivery (FUSE, ublk) for multi-gigabyte files
- Own reliability of the delivery path as a measured outcome: end-to-end instrumentation from snapshotter initialization to first inference request, targets for cold start and cache behavior, tolerance for failing upstream registries and object stores, and safe rollout of changes to a path every customer depends on
- Make the delivery path work across heterogeneous clusters and cloud providers, each with its own object store and network
- Review designs and code across the area, and take on hands-on work where it unblocks the team
- Champion the team’s contributions back to containerd and the snapshotter ecosystem alongside the maintainers on the Runtime Fabric team
Cross-Functional Partnership
- Act as the point of contact for storage across Baseten, ensuring model deployment, training, and platform teams have the integration support they need
- Optimize requirements for the underlying storage platforms with the infrastructure team: object storage, local NVMe and block storage, and network bandwidth per cluster, so that capacity and provider decisions account for what the delivery path needs
- Manage the team’s dependencies in both directions: sequence work that model deployment, training, and infrastructure teams block on, and negotiate interfaces and timelines with the teams and upstream projects the storage path depends on
- Work with the head of Runtime Fabric and product stakeholders to prioritize storage investments based on customer impact and infrastructure reliability
- Communicate team progress, technical trade-offs, and incidents clearly to the team and to leadership
REQUIREMENTS
- Experience managing a team of engineers in a systems, infrastructure, or storage context, including hiring and performance management
- Hands-on background in distributed storage systems, content-addressable storage, or large-scale caching infrastructure
- Strong systems programming background in Go, Rust, and/or C/C++, with the ability to engage credibly in code reviews and architectural discussions
- Working knowledge of the Linux storage stack: filesystems, the page cache, block devices, and mounts
- Understanding of how container images are structured, stored, and delivered at scale
- Strong written and verbal communication skills, with the ability to influence without authority across teams
NICE TO HAVE
- Contributions to containerd/containerd, snapshotter projects (stargz, soci, nydus, overlaybd), distribution/distribution, or closely related open-source projects
- Familiarity with lazy-loading snapshotters or peer-to-peer image distribution
- Experience with EROFS, FUSE, ublk, or io_uring
- Experience building or operating CDN, object storage, or large-scale caching infrastructure
- Experience running storage services on Kubernetes
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Задачи:
— Находить и откликаться на федеральные возможности, с акцентом на программы для малого бизнеса и 8(a) set-asides
— Быстро писать, собирать и подавать предложения, часто за один-два дня
— Управлять контрактами после их получения: быть контактным лицом для агентств, заниматься изменениями, соблюдением требований и отчетностью
— Около четверти времени уделять поиску партнерств и взаимодействию с другими малыми бизнесами
— Работать с командой рекрутеров для комплектации новых контрактов
— Использовать AI-инструменты для ускорения работы
Требования:
— Опыт работы 3+ года в федеральных контрактах: управление контрактами, написание предложений, захват или управление программами
— Хорошее понимание FAR, программ set-aside и федерального процесса закупок
— Наличие сети контактов в агентствах или среди подрядчиков будет преимуществом
— Уверенное или желающее стать продвинутым пользователем AI-инструментов
— Предпочтение за подачей большого количества качественных предложений, а не за длительной доработкой одного
Условия:
— Зарплата от 100,000 до 120,000 долларов в год
Задачи:
— Управление отношениями с программными офисами агентств, контрактными офицерами и основными подрядчиками
— Раннее выявление предстоящих требований, повторных конкурсов и возможностей расширения
— Привлечение теплых возможностей в наш пул и помощь в формировании ответов
— Быть основным контактным лицом по заключенным контрактам, поддерживать удовлетворенность клиентов и высокую производительность
— Сотрудничество с командами по предложениям и рекрутингу для выигрыша и комплектования новых проектов
Требования:
— Опыт не менее 5 лет в роли менеджера программ, аккаунт-менеджера, менеджера по контрактам или аналогичной клиент-ориентированной роли на федеральных контрактах
— Установленные и хорошие отношения с одним или несколькими федеральными агентствами (укажите какие)
— Опыт работы с 8(a) или контрактами малого бизнеса
— Средний уровень карьеры, готовность развиваться в небольшой, быстрорастущей компании
— Уверенное использование AI-инструментов для эффективной работы
Location: Madrid, Spain
About the Company:
Our client is a global education group bringing together a growing network of more than 20 schools across Europe, Asia and Latin America. The group operates physical schools offering education from kindergarten through to secondary education, combining international schools with local institutions while preserving their individual identities.
They are building a global platform focused on supporting its schools, strengthening operational capabilities and driving sustainable growth. With its headquarters in Madrid, the group is expanding its central finance function to support its growing international portfolio and is looking for a
Management Accountant
to join its FP&A team.
About the Role
The Management Accountant will support the preparation and consolidation of monthly management accounts, analyse financial performance against budgets and forecasts, and ensure accurate, consistent reporting across the group's international school portfolio.
OVERALL RESPONSIBILITY AND BUSINESS SUPPORT
• Support the central finance function through the group management accounts cycle, working as part of a small team being built from scratch.
• Report to the Head of FP&A, playing a central role in the preparation and review of the group’s monthly management accounts as the function continues to be built out.
• Build strong working relationships with school finance leads across the portfolio as a key contributor across the management reporting cycle, alongside significant exposure to the Madrid head office team.
• Help establish robust, well-documented management accounts processes, controls, and ways of working that can scale as the group grows, ensuring continuity and consistency as the team and portfolio expand.
PREPARATION OF MANAGEMENT ACCOUNTS
• Prepare the consolidated monthly management accounts, including P&L, balance sheet, cash-flow and supporting schedules, drawing together submissions from across the school portfolio into a single group view.
• Apply agreed group conventions consistently, including FX rates, consolidation adjustments, and presentation formats, ensuring outputs are comparable across schools and over time.
• Prepare variance analysis comparing actuals to budget, forecast and prior periods, with clear commentary on the key drivers of movements for review by the Head of FP&A.
• Maintain clear, well-documented working files and supporting schedules for each reporting cycle, so that the basis for every figure in the management accounts is transparent and can be traced and understood.
MONTH-END REVIEWS
• Carry out structured month-end reviews of school-level submissions, checking arithmetic accuracy, internal consistency, and alignment with group reporting conventions before consolidation.
• Identify and follow up on anomalies, unusual movements, or inconsistencies in school submissions, working with school finance leads to resolve queries ahead of the reporting deadline.
• Support the Head of FP&A in reviewing the consolidated management accounts prior to distribution, flagging any areas requiring further explanation or correction.
• Help embed a consistent month-end review checklist and timetable across the portfolio, contributing to its ongoing refinement, controls, and documentation as the function develops.
DATA, SYSTEMS, AND INTEGRITY
• Own the integrity of management accounts outputs, including consolidation, reporting, and supporting files, ensuring formulas, links, and consolidation logic are accurate and free of errors.
• Take ownership and maintain clear, well-organised documentation of management accounts processes, templates, data conventions, and reporting logic, so that methodologies are transparent and repeatable across the team.
• Implement and maintain quality control checks across the management accounts and reporting outputs to ensure accuracy and consistency before submission to senior stakeholders.
BUSINESS PARTNERING
• Act as the first point of contact for schools on any management accounts queries, providing timely and clear responses or escalating to the Head of FP&A where required.
• Work closely with the Financial Accountant and wider accounting team, who are responsible for the underlying statutory accounts that feed into the management accounts, ensuring a clear handover, shared understanding of account structures, and timely resolution of queries between the two functions.
• Support the Head of FP&A in preparing materials for the CFO and other senior stakeholders, ensuring outputs are accurate, well-documented, and clearly presented.
Requirements
CANDIDATE PROFILE
• Qualified accountant or finalist (ACCA, CIMA, or equivalent) with experience in a management accounting or financial reporting role, ideally in a multi-entity or international environment.
• Sound understanding of management accounting principles, including P&L, balance sheet and cash-flow preparation, variance analysis, and consolidation.
• Competent Excel skills, with experience working with templates and processes across multiple teams or entities.
• Conscientious, accurate, and comfortable taking ownership of deliverables under reporting deadlines, with a strong instinct for documentation and process.
• Confident communicator, able to work effectively with colleagues across finance functions and school finance leads.
• Full professional fluency in English is essential; additional languages relevant to the portfolio are an advantage.
• Experience in the K-12 or international schools sector is an advantage but not a prerequisite.
Location: Yerevan, Armenia
We are looking for a dynamic, high-performing and experienced English and Turkish speaking Account Manager to join our team. If you are customer-oriented with a ‘can do’ attitude, proactive and passionate about our company products, this position is for you.
Our ideal candidate has a drive for achieving goals and maintaining a great customer experience. You should be resourceful, analytical, adaptable, and organized with the ability to build rapport with clients. You will act as a main point of contact for our partners with a key focus on account growth, partner satisfaction and prioritization of partners’ needs at a high standard. You will maintain and strengthen long-term, trusting and mutually beneficial relationships with our partners, connect with key business executives and stakeholders, identify and develop new business opportunities. Ultimately, you should collaborate with our sales team to achieve quotas while keeping our partners satisfied & engaged with our products and services in the long run.
Responsibilities:
• Build, develop & maintain strong, long-lasting and trusted advisor relationships with our partners, stakeholders & sponsors
• Act as a primary point of reference and business consultant for assigned partners through email, phone, online presentations and
in person meetings
• Communicate with partners at a senior level to resolve issues and inquiries
• Adhere to the highest professional standards while managing partners’ projects
• Collaborate with the Sales team to onboard and integrate new partners, develop existing relationships
• Focus on ensuring we maintain superior customer service levels, operational excellence and strategic insight
• Manage projects within client relationships, carry out client goals while meeting company goals
• Drive client retention, renewals, upsells and client satisfaction
• Identify and develop new businesses, existing business growth opportunities with our partners and/or identify areas of improvement
• Manage partner’s challenging requests and/or issues escalation to appropriate departments
• Actively communicate with relevant departments, ensure the timely and successful delivery of solutions according to partners’ needs and objectives
• Resolve complaints and prevent additional issues by improving processes
• Monitor and analyze customer’s usage of our product
• Collect and analyze data to learn more about partners’ behavior
• Forecasts and tracks client account metrics
• Feeding back all suggestions for improvement and market research to senior staff
• Stay up-to-date with company products and services, identify industry trends
• Provide input on new processes and workflows as needed
• Update knowledge by participating in educational opportunities, reading professional publications, maintaining personal networks, participating in professional organizations
Requirements:
• At least 2+ years of proven account management, sales, or business development experience in the industry
• Advanced knowledge of Armenian language & excellent knowledge of Turkish/English languages (Russian will be a plus)
• Demonstrated ability to communicate, present and influence effectively at all levels of the organization
• Experience in delivering client-focused solutions based on customer needs
• Proven ability to manage multiple projects at a time while paying strict attention to details
• Excellent listening, negotiation and presentation skills
• Excellent verbal and written communications skills
• Self-motivated individual with the ability to thrive in a results-driven environment
• Ability to work under high pressure & Ability to prioritize among competing tasks
• Natural relationship builder with integrity, reliability and maturity
• Critical thinking and problem-solving skills
• Excellent time and project management skills
О проекте:
MeGo.Tours — сервис для путешествий: бронирования, гиды, туры, маршруты, marketplace услуг.
Сейчас масштабируем продукт и усиливаем управление разработкой, поэтому ищем Project Manager, который поможет держать процессы под контролем и доводить задачи до результата.
Требования:
— Опыт в project / delivery роли от 6 месяцев
— Понимание Agile / Scrum процессов
— Умение структурировать хаотичные требования
— Сильные коммуникационные навыки
— Базовое понимание разработки (web / mobile)
— Опыт работы с таск-трекерами (Jira, Trello и др.)
— Ответственность и системное мышление
Будет плюсом:
— Опыт в стартапах
— Понимание product management
— Опыт работы с аналитикой и метриками
— Навыки работы с документацией (PRD, BRD)
— Опыт в travel / marketplace / e-commerce проектах
Чем предстоит заниматься:
— Управлять процессом разработки (planning → execution → delivery)
— Вести спринты и координировать команду (dev / design / marketing)
— Декомпозировать задачи и следить за их выполнением
— Контролировать сроки, риски и приоритеты
— Организовывать коммуникацию между бизнесом и разработкой
— Вести трекинг задач в Jira / аналогах
— Подготавливать статус-отчёты и апдейты по проектам
— Помогать превращать идеи в понятные задачи для команды
Условия:
— Возможность влиять на процессы и продукт
— Работа напрямую с фаундерами
— Гибкий формат работы
— Процент от прибыли / опционы обсуждаемы
— Один обязательный созвон в неделю + рабочие сессии по необходимости
— Реальный опыт построения travel-tech продукта
Формат работы: удалёнка (позже возможно работать из офиса Алматы)
О проекте:
MeGo.Tours — сервис для путешествий: бронирования, гиды, туры, маршруты, marketplace услуг.
Мы активно растём и ищем продуктового менеджера, который поможет выстроить логику продукта, приоритизацию и рост ключевых метрик.
Требования:
— Опыт в product / project роли от 6 месяцев
— Понимание продуктовых метрик и воронок
— Умение формулировать требования и декомпозировать задачи
— Базовое понимание UX и разработки
— Опыт работы с аналитикой (GA, Amplitude или аналогами)
— Сильные коммуникационные навыки
— Ответственность и системное мышление
Будет плюсом:
— Опыт в travel, marketplace или e-commerce
— Опыт работы в стартапах
— Навыки SQL или data-аналитики
— Опыт growth / marketing experiments
— Понимание Lean / Agile / Scrum практик
Задачи:
— Формировать и приоритизировать продуктовый бэклог
— Собирать и уточнять требования от бизнеса и пользователей
— Описывать задачи для разработки (user stories, acceptance criteria)
— Работать с метриками (воронка, конверсия, retention)
— Запускать и анализировать A/B тесты и гипотезы
— Координировать работу dev, design и marketing команд
— Участвовать в формировании продуктовой стратегии
— Улучшать пользовательский опыт и ключевые сценарии
Условия:
— Возможность влиять на продукт и стратегию
— Работа напрямую с фаундерами
— Гибкий формат работы
— Процент от прибыли / опционы обсуждаемы
— Один обязательный созвон в неделю + рабочие сессии по необходимости
— Реальный опыт построения travel-tech продукта
Формат: удалёнка (позже возможно работать из офиса Алматы)
Задачи:
— Проектировать новые фичи: формировать концепцию, описывать логику, прорабатывать сценарии и готовить прозрачную документацию;
— Разрабатывать и совершенствовать монетизационные механики, влияя на ключевые бизнес-показатели;
— Формировать продуктовые гипотезы, запускать A/B-тесты, анализировать результаты и принимать решения на основе данных;
— Работать с конфигурациями, админ-панелью и следить за корректностью данных в продукте;
— Синхронизировать работу между командами разработки, аналитики, дизайна, UI/UX и QA;
— Сопровождать релизы: анализировать пост-релизное поведение пользователей.
Требования:
— Имеете опыт работы продакт-менеджером/аналитиком/гейм-дизайнером/продуктовым UX/UI-дизайнером;
— Или опыт стажировок, работы над pet-проектами, игровыми джемами, учебными проектами;
— Знаете как работать с данными;
— Чётко и структурно коммуницируете, умеете презентовать решения и держать всех участников процесса в курсе;
— Ориентированы на результат, при возникновении сложностей продолжаете двигаться в сторону конечного результата.
Условия:
— Работа в просторном офисе с современным оборудованием, уютными кофе-поинтами, офисной кухней и столовой внутри здания;
— Гибкое начало рабочего дня с 9:00 до 11:00;
— Официальное оформление с первого рабочего дня и белая зарплата;
— ДМС со стоматологией, частичная компенсация на сервис «Ясно» и онлайн-занятия в Skyеng, компенсация расходов на спорт и обучение;
— Участие в профильных конференциях и курсах, корпоративные мероприятия и занятия в группах по направлениям: волейбол, бадминтон, квизы, мафия и настольные игры;
— Формат работы: офис, фуллтайм занятость, совмещения и неполные рабочие дни невозможны.
Этапы найма:
— Первичное знакомство с HR онлайн;
— Тестовое задание;
— Структурированное интервью с HR онлайн;
— Финальное интервью с тимлидом команды в офисе;
— Сбор рекомендаций;
— Оффер.
Задачи:
— Подготавливать роадмапы и планы развития/маркетинга проектов;
— Анализировать метрики проектов, поведение пользователей и эффективность продуктов;
— Строить маркетинг на начальных этапах, принимать непосредственное участие в закупе трафика и привлечении пользователей;
— Планировать новые функции, обновления и улучшения;
— Тестировать гипотезы, проводить A/B-тесты и продуктовые эксперименты;
— Координировать взаимодействие между разработчиками, дизайнерами, художниками, комьюнити-менеджерами и маркетологами;
— Организовывать задачи, сроки и рабочие процессы по проектам;
— Вести и актуализировать проектную документацию;
— Участвовать в брейнштормах и обсуждении стратегий роста;
— Помогать с операционными задачами, связанными с проектами и запросами от стейкхолдеров.
Требования:
— Понимание продуктовых и маркетинговых метрик;
— Использование data-driven подхода, анализ результатов и принятие решений на основе данных;
— Нацеленность на непрерывный рост метрик;
— Опыт и понимание в маркетинге, умение находить/закупать трафик;
— Опыт работы с аналитическими инструментами (Google Analytics, Amplitude или аналогами);
— Понимание основ монетизации и удержания пользователей;
— Умение четко и структурированно излагать мысли письменно;
— Организованность, инициативность, аналитическое мышление и стремление развиваться.
Будет плюсом:
— Опыт работы в рекламных сетках;
— Опыт в маркетинге, привлечении пользователей (User Acquisition) или комьюнити-менеджменте;
— Знакомство с A/B-тестированием и процессами роста продукта (Growth).
Условия:
— Работа в растущей международной компании;
— Гибкий график и полностью удаленный формат работы;
— Быстрое принятие решений, прозрачные процессы и минимум бюрократии;
— Возможность профессионального роста и работы над интересными проектами из разных продуктовых направлений.
В начале сопроводительного письма необходимо указать:
— Опыт работы с играми и приложениями;
— Уровень английского языка;
— Зарплатные ожидания на старте.
Задачи:
— Общаться с бухгалтерами и руководителями бухгалтерских компаний, проводить custdev-интервью по JTBD и находить реальные проблемы пользователей;
— Формировать гипотезы, цели и критерии успеха, приоритизировать бэклог;
— Вместе с разработкой доводить решения от пилота до внедрения: ставить задачи, координировать тестирование, проверять качество;
— Собирать обратную связь и измерять эффект: сколько ручной работы забирает продукт;
— Проводить демонстрации продукта и участвовать в переговорах по внедрению.
Требования:
— Опыт работы в сфере бухгалтерии;
— Опыт работы консультантом 1С по бухгалтерскому учету.
Будет здорово:
— Понимание принципов работы с нейросетями и промтингом;
— Опыт работы с продуктами на основе ИИ;
— Опыт в сфере автоматизации или разработки IT-решений.
Условия:
— Достойный уровень заработной платы и возможность влиять на нее;
— График 5/2 с 9:00 до 18:00 мск;
— Трудоустройство по ТК или ИП;
— Команда и обмен опытом: есть самоорганизующиеся community для обмена опытом;
— Культура: открытость, доверие, быстрый трансфер идей в ценность для клиентов.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong.
We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking.
This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters.
IN THIS ROLE YOU WILL
Lead and grow the team
- Manage and coach a team of Technical Support Engineers
- Set clear expectations for technical depth, response quality, and ownership, and give direct feedback
- Design a coverage model that works across time zones, including on-call and escalation paths
- Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices
Own support outcomes
- Own and report the team's core metrics: CX, time to resolution, escalation rate, and more
- Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster
Run AI-assisted support
- Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person
- Set the quality bar for agent answers and the process for catching incomplete ones
- Decide where automation is worth building and where it isn't, based on data
Handle escalations and partner across Sentry
- Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back
- Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales
- Bring a clear picture of customer pain to Product and Engineering, backed by numbers
YOU'LL LOVE THIS JOB IF YOU
- Think great support is an engineering problem, not a staffing problem
- Want to build the team and the systems at the same time
- Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours
- Would rather fix the cause of 200 tickets than answer them faster
- Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length.
QUALIFICATIONS
- 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company
- 3+ years managing technical support engineers, including hiring and growing a team
- Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure
- Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them
- Hands-on experience running AI or automation in a support org, and a clear view of its failure modes
- Track record of using support data to drive product and process changes
- Clear, direct written communication with customers, executives, and engineers
Bonus
- Experience at a developer tools or observability company
- Former software engineer
- Managed a team spread across multiple time zones
- Open source contributor or maintainer
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
San Francisco, CA | New York City, NY | Seattle, WA
ГибридSan Francisco
Madrid, Spain
Yerevan, Armenia
ГибридseniorSan Francisco, California; Design a coverage model that works across time zones, including on-call and escalation paths; Managed a team spread across multiple time zones
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