Задачи:
— Проектировать платформенные паттерны от начала до конца, создавать эталонные реализации, документировать обоснования и сотрудничать с командами внедрения.
— Участвовать в еженедельных архитектурных обзорах, обеспечивая последовательность и расширяя библиотеку стандартов и архитектурных решений.
— Отвечать за архитектурное руководство в одной из областей: облачная инфраструктура или архитектура данных.
— Определять жизненный цикл технологий, проводить оценку новых технологий через POC, управлять стандартами внедрения и снятия с эксплуатации, оптимизировать затраты совместно с FinOps.
— Поддерживать команды R&D, проводить обзоры дизайна и консультации по сложным инфраструктурным решениям.
— Формировать многолетнюю стратегию платформы, включая опыт разработчиков, конвейеры доставки и инструменты архитектурного обзора с AI.
Требования:
— Широкий опыт архитектуры инфраструктуры, умение защищать архитектурные решения в продуктивных системах.
— Опыт работы с мультиоблачными средами GCP и/или AWS, глубокое понимание Kubernetes (GKE или аналог).
— Владение Infrastructure as Code, включая Terraform и GitOps, опыт проектирования и ревью модулей.
— Глубокие знания в одной или нескольких областях: облачная инфраструктура (сетевые паттерны AWS/GCP, Kubernetes, Istio, безопасность и масштабируемость) и/или архитектура данных (Kafka, Pub/Sub, SQL/NoSQL базы, аналитические колонки, pipeline).
— Способность разрабатывать прототипы, анализировать поведение систем под нагрузкой.
— Лидерские качества, навыки технической коммуникации и внедрения стандартов без формального управления.
— Опыт проведения технологических оценок и POC.
— Знания инфраструктуры для AI/ML нагрузок, включая модели, базы векторов, оценку затрат и задержек.
Преимущества:
— Глубокие знания в обеих областях: облачная и дата инфраструктура.
— Опыт с политиками GCP, организационной структурой и IAM.
— Знания Confluent Platform.
— Опыт участия в архитектурных советах.
— Опыт с AI-усиленными архитектурными инструментами.
— Опыт с MLOps инструментами (MLflow, Kubeflow, Vertex AI Pipelines, SageMaker).
Образование и опыт:
— Степень бакалавра в области компьютерных наук или эквивалентный опыт.
— 10-15+ лет опыта в облачной инфраструктуре, платформенной инженерии, DevOps или архитектуре данных.
УдалённоZoomInfo does not administer lie detector tests to applicants in any location
Задачи:
• Формировать AI-стратегию и roadmap бизнес-направления.
• Находить наиболее перспективные точки применения AI.
• Самостоятельно запускать первые прототипы и AI-пилоты.
• Быстро проверять гипотезы и показывать первые измеримые результаты.
• Создавать AI-агентов, RAG-решения и AI-автоматизации.
• Формировать и приоритизировать портфель AI-инициатив.
• Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования.
• Переосмысливать бизнес-процессы с учетом возможностей AI.
• Работать с руководителями бизнес-направлений и защищать AI-инициативы.
• Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах.
Требования:
• 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation.
• Практический опыт запуска AI/ML или технологических продуктов.
• Сильное понимание LLM, Generative AI, AI Agents и RAG.
• Способность самостоятельно собрать работающий AI-прототип.
• Product mindset и ориентация на быстрый результат.
• Стратегическое мышление и способность формировать AI-roadmap.
• Умение связывать технологии с конкретным бизнес-эффектом.
• Опыт работы с руководителями и топ-менеджментом.
• Высокая самостоятельность и ответственность за результат.
AI-инструменты и технические навыки:
• Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM.
• Работа с LLM API, Prompt Engineering, Tool/Function Calling.
• Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов.
• Практическое понимание RAG, embeddings, vector databases.
• Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов.
• Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов.
• Опыт работы с n8n, Make или другими инструментами автоматизации.
• Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных.
Кого мы ищем:
• Не классического бизнес-аналитика или координатора.
• Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой.
Главный результат:
• Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.
Location: New York, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production.
You will own our enterprise product: the roadmap for what large customers need, and the control plane that makes it possible. These are the capabilities that decide whether a large customer can adopt us, trust us, and expand with us.
Our product is an API, and our enterprise buyer is an engineering organization. The people you build for are platform teams, architects, and the developers inside those companies who are putting agents into production. You need to be comfortable making product decisions about API surfaces, developer workflows, and technical tradeoffs, not only about business requirements.
To build this well, you have to be in the room. You will work alongside customer success, sales, and our forward-deployed engineers, who are in these accounts every week and already know where we fall short, and you will spend real time with customers alongside them. Delivery and implementation stay with forward-deployed engineering and go-to-market. Your job is to turn what you learn into product.
The hard part is judgment. Knowing which request is one account's edge case, and which one is the thing every enterprise customer will ask for six months from now. Getting that right is the difference between a platform and a pile of custom work.
In your first year, we expect you to own a clear enterprise roadmap, ship the controls that block deals today, and become the person the go-to-market team comes to before a deal gets stuck.
This is a hands-on senior IC role with real ownership, reporting to the Director of Product. The product team is small, so you will work directly with the engineers building your roadmap and with the go-to-market teams selling it.
Your responsibilities will include
Own the enterprise roadmap: what we build for large customers, in what order, and why.
Own the platform behind it: organizations and identity, keys and quotas, spend controls, usage observability and audit, policy enforcement, and data residency.
Make product decisions on our API surface for enterprise use, so that the developers inside those accounts can build on us without friction.
Work with customer success, sales, and forward-deployed engineering to understand what enterprise customers need, and spend time in accounts alongside them to see it first hand.
Tell the difference between a single-account request and a pattern worth building for, and be able to defend the call either way.
Hand off what belongs to another product area, with the evidence that makes it actionable.
Give sales and marketing the positioning, materials, and product understanding they need to sell a technical product well.
Represent enterprise customers in roadmap decisions with evidence rather than anecdote.
We expect you to have
6+ years of product management experience, with a meaningful part of it spent on enterprise products in B2B, developer platform, or API businesses.
Experience building developer-facing or API products, with real understanding of what makes an API good to build against.
Experience building platform capabilities that enterprises depend on, such as identity, permissions, quotas, usage controls, audit, or compliance.
A track record of working with large enterprise accounts, including recognized logos, and turning what you learned into shipped product.
Credibility with technical buyers: platform teams, architects, security, and procurement.
Strong understanding of LLMs, AI agents, and how search and retrieval fit into agentic workflows. Hands-on technical background is a strong plus.
The ability to turn many messy customer conversations into one clear, prioritized product argument.
Proven ability to drive alignment without formal authority, including with product owners who do not report to you.
It will be a bonus if you have
Background as a forward-deployed engineer, solutions engineer, or solutions architect before moving into product.
Experience in search, information retrieval, or NLP.
Experience in API-first businesses running both self-serve and enterprise motions.
Experience building for regulated industries such as financial services, insurance, or healthcare.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,500
—
$224,300 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking an Senior Enterprise Applications Engineer to own the full lifecycle of our enterprise application ecosystem—from evaluation and procurement through deployment, optimization, renewal, and retirement. This role will manage and govern a diverse portfolio of critical platforms, including
Slack
,
Zoom
,
Miro
,
Atlassian
(
Jira
,
Confluence
),
Microsoft 365
,
DocuSign
, and other collaboration, HR, finance, security, and AI-driven tools.
This is a highly cross-functional role requiring strong ownership, hands-on SaaS expertise, and the ability to independently lead initiatives that improve reliability, scalability, automation, and operational excellence across the enterprise.
This is a
remote role in US.
Your responsibilities will include:
Own the end-to-end lifecycle management of enterprise SaaS applications, from evaluation and procurement to deployment, optimization, renewal, and retirement.
Manage the enterprise application portfolio, including major platforms such as Slack, Zoom, Miro, Atlassian (Jira, Confluence), and other collaboration, HR, finance, and security tools.
Lead SaaS procurement and vendor management, including contract negotiations, renewals, cost optimization, and license management.
Drive SaaS testing, onboarding, and rollout, ensuring tools meet business, security, and compliance requirements.
Partner closely with Security, Legal, Privacy, AI, SOX, and Compliance teams to conduct risk assessments, security reviews, and ongoing audits for all managed tools.
Evaluate and assess AI-driven tools and platforms, stay current on market trends, and guide decision-making on AI adoption across the enterprise.
Ensure security, compliance, and data integrity across all enterprise applications.
Act as a key stakeholder in security and compliance reviews, including vendor risk assessments and AI governance.
Support Disaster Recovery (DR) and Business Continuity Planning (BCP) from a SaaS perspective, including documentation and participating in reviews and audits when required.
Proactively identify opportunities for process improvement, automation, and optimization across the SaaS ecosystem.
Lead cross-functional initiatives and serve as a central point of coordination between technical and non-technical teams.
Establish and maintain support, documentation, and governance processes to ensure reliability and scalability of enterprise platforms.
Communicate clearly with stakeholders at all levels and drive initiatives independently from concept to execution.
We expect you to have:
5+ years of experience in enterprise applications, SaaS portfolio management, or enterprise IT, with strong end-to-end ownership.
Deep hands-on experience managing enterprise SaaS platforms such as Atlassian, Slack, Zoom, Microsoft 365, Miro, DocuSign, and similar tools.
Strong understanding of the full SaaS lifecycle, including procurement, implementation, renewals, and decommissioning.
Experience working closely with Security, Legal, Compliance, Privacy, and SOX teams.
Solid knowledge of AI tools and platforms, including how to assess, evaluate, and govern them from a security and compliance perspective.
Proven ability to manage vendor relationships, contracts, and licensing at scale.
Excellent communication and collaboration skills, with the ability to work across multiple teams and influence stakeholders.
A proactive, initiative-driven mindset with the ability to operate independently in a fast-paced environment.
Strong organizational skills with the ability to manage multiple priorities and projects simultaneously.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$147,200
—
$183,900 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Boston, MA; San Francisco, CA | New York City, NY; Seattle, WA; Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Manager, Customer Success – Cyber, you'll lead the Customer Success Managers who cover our cybersecurity accounts: the security, identity, cloud, data protection and observability vendors building on Claude across API, Claude Code, Cowork and other surfaces, both inside their own engineering and security organizations and embedded in the products they sell to their customers. You'll directly coach and develop a team of Customer Success Managers while keeping strategic oversight of the highest-impact engagements in the segment. This role demands exceptional people leadership combined with deep product knowledge, cybersecurity domain expertise and customer success acumen to guide your team in maximizing customer value, driving consumption, and expanding our footprint across enterprise accounts. You'll be instrumental in building scalable CS processes, methodologies, and playbooks that will define how we grow and mature as an organization.
Responsibilities:
Directly manage and develop a team Customer Success Managers supporting strategic cybersecurity accounts across all Anthropic products (API,
Claude.ai
, Claude Code)
Coach team members on customer success best practices, including change management and adoption strategies, value realization, and expansion methodologies across our product suite
Provide cybersecurity subject matter expertise to cyber customers and the CSMs supporting them: bring domain knowledge of security operations, detection and response, identity, cloud and data protection to customer engagements, and coach the team on how cyber vendors build, buy and embed AI so they can engage credibly with CISOs, CTOs and principal engineers
Drive team accountability to core CS metrics: expansion (consumption growth, cross-sell/upsell opportunity identification), customer health scores, retention (NRR), and customer satisfaction (CSAT)
Join strategic customer engagements and escalations, demonstrating executive presence with C-level stakeholders at leading cybersecurity companies
Build and refine scalable CS processes including success planning frameworks, QBR templates, and expansion playbooks
Partner closely with Sales to identify expansion opportunities, facilitate smooth handoffs, and ensure aligned account strategies
Collaborate cross-functionally with Product, Engineering, and Marketing to advocate for customer needs and drive product adoption
Contribute to hiring, onboarding, and training initiatives as the Customer Success organization scales
Establish and nurture an AI-first, innovation-focused team culture, improving team processes and deepening team hands-on expertise
Conduct regular 1:1s, performance reviews, and career development planning for direct reports
Own portfolio-level planning and forecasting, including renewal risk mitigation and expansion pipeline development
Serve as escalation point for at-risk accounts and complex customer situations within your team's portfolio
Develop customer advocacy programs including case studies, testimonials, and reference architecture development
Champion responsible AI deployment practices with customers and represent Anthropic's values in all customer interactions
You may be a good fit if you have:
7+ years of experience in customer success, account management, or customer-facing roles, with 2+ years of front-line management experience
Proven track record of managing and building customer success teams in SaaS, API, or AI/ML companies
Cybersecurity experience: time spent working with or inside cybersecurity companies, or in a security-adjacent domain (security operations, detection and response, identity, cloud or data security), with the fluency to act as a credible subject matter expert for cyber customers and your team
Experience managing customer portfolios at enterprise scale, including accounts with $1M-$100M+ annual contract values
Strong understanding of both consumption-based and seat-based business models, with proven ability to drive adoption, expansion, and value realization across different pricing structures
Technical fluency to understand AI/ML products, navigate technical conversations, and coach teams on product capabilities across multiple offerings
Strong executive presence and ability to represent Anthropic with customer technical and business leaders
Strong business acumen with ability to articulate value, calculate ROI, and drive customer business outcomes
Ability to balance strategic thinking with tactical execution and context-switch between coaching, customer engagement, and operational planning
Experience building CS processes, playbooks and operational frameworks, using data to drive team and customer outcomes
Demonstrated ability to coach customer success professionals and systematically improve team performance against KPIs
Track record of achieving team targets for expansion, retention and customer satisfaction
Passion for responsible AI development and helping customers transform their businesses with cutting-edge technology
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:
$265,000
—
$320,000 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.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors.
As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale.
Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities.
Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization.
RESPONSIBILITIES:
- Drive Foundation AI projects from kickoff through development to deployment and stabilization
- Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics
- Develop project plans consistent with business goals and requirements for algorithm performance
- Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication
- Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments
- Bring together key stakeholders to facilitate timely and lasting decision-making
- Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors.
- Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner.
- Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts.
- Facilitate cross-functional communication across WHOOP for awareness and understanding.
- Understanding of technical issues to facilitate resolution of project blockers is a plus
QUALIFICATIONS:
- 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems
- Experience working with AI or applied ML teams
- Familiarity with agile methodologies, sprint planning, backlog grooming processes
- Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success
- Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required
- Clear, confident communicator who can bridge deeply technical teams and business stakeholders
- Proven ability to influence without authority and drive alignment across diverse teams
- Nice to Have:
- Experience working with research teams
- Background in consumer technology, platforms, or data-driven products
- Experience organizing projects using Jira or similar platforms
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Staff Software Engineer to work on the indexing and data processing layer of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building systems that ingest, process, and organise massive volumes of data into efficient, queryable structures. You will work primarily on offline and nearline pipelines, ensuring that data is fresh, complete, and efficiently accessible by downstream retrieval systems. You will operate in an environment where throughput, scalability, and correctness are critical; designing systems capable of handling tens of gigabytes per second across continuously evolving datasets.
In this position, your responsibility will be to:
Design, implement, and operate large-scale indexing systems and data pipelines that sit at the core of our search infrastructure
Develop and optimise indexing strategies balancing performance, freshness, and resource efficiency
Work on storage formats, compaction strategies, and update mechanisms to keep data accessible and current
Ensure reliability and predictability of pipelines under high-throughput conditions
Build well-tested components with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
Define and implement observability primitives, including structured logs, metrics, and data quality signals across offline and nearline pipelines
Monitor throughput, resource usage, and cost, and drive optimisations when business needs require it
Collaborate with runtime and ML teams to ensure indexing outputs meet retrieval and ranking requirements
Enable safe experimentation on indexing strategies and data processing logic through controlled rollouts and clearly defined quality signals
You may be a good fit if you:
8+ years of experience building production backend or data infrastructure systems
Strong Go experience (C++/Rust is a plus)
Experience with large-scale data processing systems (10+ GiB/sec throughput, petabyte-scale datasets, etc.)
Experience building or operating databases, storage systems, data planes, or indexing pipelines
Strong understanding of distributed systems, fault tolerance, consistency, and scalability
Experience running production systems and handling operational incidents
Systems-thinking mindset and ability to reason about end-to-end data flows
Strong candidates may also have experience with:
Distributed data processing frameworks such as Spark, Flink, MapReduce, or Beam
Content systems including, scraping, proxying, or anti-bot infrastructure
Ad tech, social networks, or other large-scale content platforms
DBMS internals (open source or SaaS) and cloud infrastructure
Open-source contributions or active involvement in the engineering community
Competitive programming or CTF participation (ICPC, IOI, or similar)
SHAD or similar advanced technical programmes
Conference talks or technical publications
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Zurich, Switzerland
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Senior Software Engineer to work on the rendering infrastructure of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on loading modern web pages in a browser that we patch and build ourselves, so that content is rendered completely and reliably at a cost that works across billions of pages. You will work inside Chromium to remove what we do not need, make the rest faster and cheaper, and keep our build current as Chromium moves. Your work ensures that high-quality content is consistently available to the indexing and retrieval systems downstream.
In this position, your responsibility will be to
Change Chromium in its heavy core (Blink, the V8 integration, the compositor, the network service) to cut CPU, memory and startup cost per page
Strip Chromium down for agent workloads: skip what nobody needs, such as image and media decoding, web font downloads, and rasterization and GPU work where no one needs pixels, while keeping what page scripts depend on to run correctly (style, layout, animation frames, observers), and work out what breaks, or renders differently, when you do
Keep the browser compatible with the web: make sure that what we remove does not change how the sites we load behave or render
Profile and tune fleets of browsers: the process model, memory per renderer, startup, isolation and crash handling
Build the production system around it: how browsers are launched, pooled, recycled and monitored
You may be a good fit if you
Have 5+ years of experience building production systems, and are an expert in several of the following areas.
Inside the browser
Strong C++ in a large, performance-critical codebase, ideally Chromium, Blink or V8, or a comparable browser engine (Rust is a plus)
Chromium architecture: the process model, Mojo IPC, the rendering pipeline (DOM, style, layout, paint, compositing), and the network service
Building, debugging and shipping custom Chromium builds: the build system, tracing, crash analysis, and maintaining patches across releases
Performance and systems
Profiling CPU, memory and I/O for browser fleets, with tools such as perf, tracing and flame graphs
Linux process isolation and resource management, concurrency, and memory management
Have run browsers in production, or built the infrastructure that does, and can describe where the time and memory went
Strong candidates may also have experience with
Contributions to Chromium, Blink, V8, Firefox, WebKit or another browser engine
Building or maintaining a patched browser that you wrote the patches for
Browser instrumentation, including the Chrome DevTools Protocol
Working familiarity with how modern frontend frameworks render (SSR, CSR, streaming, hydration)
Distributed systems, Kubernetes, and Go or Python
The kind of problems you will work on
Cut the cost of loading a page in half. Where do CPU and memory go, and what would you change in the browser?
Turn off the GPU and image decoding for agent workloads. What breaks, and what changes in how pages load and render?
A page runs a script that never yields. How do we detect and stop it without help from the page?
Chromium ships a new version. How do we bring a large set of patches forward in days, not weeks?
Decide when a page is finished, for pages with analytics beacons, long polling and endless scrolling.
We conduct coding interviews as part of the process.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
О компании:
hirix — рекрутинговый партнёр по поиску IT-талантов, помогающий компаниям собирать сильные команды и специалистам находить проекты. Заказчик расширяет команду и ищет Sales Manager. Основные продукты — высокоточные системы машинного обучения для игровых платформ, повышающие LTV игроков, оптимизирующие расходы на привлечение и прогнозирующие отток ключевых клиентов. Команда обладает экспертизой в AI/ML и продукте.
Задачи:
— Разрабатывать и реализовывать Go-to-Market и коммерческую стратегию, определять направления масштабирования и развития бизнеса;
— Развивать новые каналы продаж и источники выручки, выстраивать стратегические партнёрства с tech-компаниями, интеграторами и отраслевыми игроками;
— Управлять отделом продаж: нанимать и развивать команду, выстраивать процессы и систему мотивации, повышать эффективность и качество продаж;
— Принимать личное участие в продажах: проводить переговоры и звонки, закрывать ключевые сделки, тестировать и внедрять новые sales-подходы и playbook’и;
— Анализировать рынок, конкурентов, воронку продаж и unit-экономику, на основе данных формировать и реализовывать управленческие решения;
— Вести переговоры с C-level и самостоятельно закрывать стратегически значимые сделки;
— Взаимодействовать с продуктовой командой: формировать продуктовые инсайты на основе рынка и клиентов, влиять на roadmap;
— Представлять компанию на конференциях и отраслевых мероприятиях, развивать публичное позиционирование бизнеса;
— Выстраивать систему метрик, прогнозирования и отчётности, регулярно предоставлять фаундерам информацию о результатах, планах и ключевых рисках.
Требования:
— 5+ лет в B2B-продажах и/или бизнес-девелопменте, из них не менее 2–3 лет на позиции руководителя коммерческого блока (Head of Sales/BD, CRO, CBDO или аналог);
— Подтверждённый опыт построения и масштабирования продаж и/или партнёрского направления с нуля, собственное авторство результата;
— Опыт работы в технологических компаниях (SaaS / PaaS / ML / сложные IT-решения) — 3+ года;
— Опыт разработки и самостоятельного владения коммерческой стратегией, включая выбор рынков, каналов и приоритетов;
— Умение брать сырые рыночные данные и создавать из них новые решения (например, пересобрать модель тарификации или переработать модель работы с партнёрами);
— Сильные аналитические навыки: умение работать с большим объёмом данных (продажи, рынок, продукт) и превращать их в структурированные выводы и решения;
— Опыт управления командой (найм, развитие, performance management);
— Навык ведения переговоров и закрытия сделок на уровне CEO / CTO / CDO, готовность лично участвовать в переговорах на начальном этапе;
— Английский — уровень С1+; Испанский — преимущество, но не обязателен.
Условия:
— Комфортная рабочая атмосфера;
— Гибкое начало рабочего дня;
— Оплачиваемые отпуска и больничные;
— Компенсация спорта и языковых курсов;
— До 5 оплачиваемых day-off в год;
— Доступ к корпоративной библиотеке MyBook;
— Оплата образовательных курсов, конференций и форумов;
— Высокий уровень влияния на стратегию и развитие компании.
Location: United States
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
(SLS00334)Remote-US
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches. You’ll play a key role in scaling our global infrastructure footprint across the United States market.
Travel: This position may require on-site presence at data centers during key deployment phases.
Your responsibilities will include:
Lead end-to-end delivery of new data center programs, from design through handover to operations.
Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution.
Translate business and technical requirements into actionable project plans and measurable deliverables.
Oversee vendor and contractor execution, ensuring quality, budget, and schedule.
Provide structured program reporting, including dashboards, documentation, and executive updates.
Technical Scope & Expectations
This role requires hands-on experience with physical infrastructure delivery, not only software or coordination-based program management.
You should be comfortable working across multiple layers of infrastructure, including:
Data center environments: understanding of IT infrastructure readiness (power, cooling, space, and networking dependencies before hardware installation);
Compute infrastructure: experience with large-scale server deployments (GPU-based systems are a strong plus);
Networking: familiarity with high-bandwidth fabrics (e.g., InfiniBand or equivalent), cabling, and integration dependencies;
Commissioning & bring-up: exposure to system validation, burn-in testing, and readiness criteria before handover to operations.
You are not expected to be an engineer, but you should be able to:
Engage in technical discussions confidently.
Identify risks related to infrastructure readiness and sequencing.
Challenge assumptions and drive resolution across engineering teams.
We expect you to have:
7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments.
Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed.
Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments.
Communication and stakeholder management skills; able to translate complex topics clearly.
Leadership by influence and example in cross-functional or matrixed teams.
Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall).
It will be
an added bonus
if you have:
Understanding of construction projects structure and key risk factors in facility build-outs.
Knowledge of HPC
Experience in business processes design or automation tools development.
PMP, PRINCE2, or similar industry certifications.
Key Employee Benefits in the US:
Health Insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan:
Up to 4% company match with immediate vesting.
Parental Leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote Work Reimbursement:
Up to $85/month for mobile and internet.
Disability & Life Insurance:
Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer competitive salaries ranging from $115K to $275K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades.
Join Nebius Today!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote, DC
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The Federal Field Architect at MinIO will bridge our technical platform and the mission requirements of our federal customers. You will bring deep technical expertise to bear across DoW, IC, and civilian agency engagements, spanning data infrastructure for both traditional workloads and AI training and inference at scale, working closely with our Federal Partner Sales team along with Engineering, Support, our channel and systems integrator partners, and our technology ecosystem partners, to ensure customers succeed from Proof of Value through production and beyond, including in air-gapped, classified, and DDIL (Denied, Degraded, Intermittent, Limited) environments.
What You Will Do:
Technical Architecture & Design:
Architect AIStor deployments for federal customers, spanning on-prem, air-gapped, sovereign cloud, and tactical edge environments, including erasure coding, tiering, and replication topology design.
Federal Compliance Expertise:
Serve as the technical authority on FIPS 140-3, FedRAMP, NIST 800-53, and Zero Trust alignment, translating compliance requirements into deployable architecture for agency customers and partners.
Proof of Value & Technical Validation:
Lead PoVs, technical demonstrations, and reference architecture design for DoW, IC, and civilian agency opportunities, in direct engagement with customers and through our channel partner and FSI ecosystem.
Partner Enablement:
Provide technical training and architecture guidance to our federal reseller, systems integrator (FSI), and technology ecosystem partners, ensuring they can independently represent and deploy MinIO solutions with confidence.
Ecosystem & Technology Partnerships:
Serve as the technical point of contact for joint architecture work with ecosystem partners (e.g., NVIDIA, Databricks, Supermicro), supporting joint solutions, reference architectures, and co-sell motions.
Kubernetes & Cloud-Native Deployment:
Guide customers and partners on deploying AIStor across Kubernetes distributions common in federal environments, including OpenShift and Rancher.
AI/ML Data Infrastructure:
Architect data infrastructure for AI training, fine-tuning, and large-scale data lake workloads, ensuring GPU clusters stay fully fed and utilized rather than data-starved.
Inference & Agentic AI Enablement:
Advise on architecture that reduces recompute overhead and maximizes GPU utilization during inference at scale, including context memory strategies for agentic and long-running AI workloads.
Technical Content Development:
Develop reference architectures, technical white papers, and solution briefs that support the Federal Partner Sales team and our partner network in active pursuits.
Your Skills and Experience:
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
4+ years in a solutions architect, sales engineering, or field engineering role, preferably within cloud, storage, or federal systems integration.
Active security clearance strongly preferred; ability to obtain a clearance required.
Deep technical knowledge of object storage (S3-compatible platforms), Kubernetes, and cloud-native/on-prem hybrid architectures.
Familiarity with GPU-accelerated infrastructure and the data/memory demands of AI training and inference workloads at scale.
Familiarity with federal compliance frameworks (FIPS 140-3, NIST 800-53, FedRAMP) and DoW/IC deployment environments (air-gapped, classified, DDIL).
Strong technical acumen with the ability to communicate complex architecture decisions clearly to both technical and non-technical stakeholders.
Experience working through or alongside channel partners, FSIs, and technology ecosystem partners (e.g., NVIDIA, Databricks) is a plus.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Oklahoma, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
New data center development:
We give you the opportunity to work with cutting-edge technologies in data operations, cloud computing and infrastructure management. As global data center operations grow, there will be ample opportunities for career progression. Working in the data center directly impacts performance, customer satisfaction and efficiency, with the opportunity to contribute to new data center projects.You’ll collaborate with experts in AI data center development and operations, gaining insights from leaders in the field. This environment fosters innovation, and allows you to work on solutions that exceed industry standards in design and deployment.
The role
We are
looking for
Warehouse Logistics Specialist
to support warehouse and logistics operations for data center hardware. This role focuses on execution of inbound and outbound shipments, maintaining inventory accuracy, and ensuring timely equipment provisioning for data center operations.The position requires strong attention to detail, hands-on work with IT equipment, and adherence to established processes and standards.
Your responsibilities will include:
1. Warehouse & Shipment Operations
Process inbound and outbound shipments in accordance with established procedures.
Verify shipment contents against documentation upon receipt and dispatch.
Ensure proper handling, labeling, and packaging of equipment.
Coordinate with warehouse providers and internal teams on shipment execution.
2. Inventory & Asset Management
Participate in cyclical and annual inventory checks.
Maintain accurate records in inventory systems (ERP/WMS).
Create inventory items for all received equipment.
Assist in identifying and reporting inventory discrepancies.
3. Equipment Handling & Testing
Perform testing of server drives and memory modules according to standard procedures.
Ensure equipment readiness before provisioning to data center engineers.
Maintain proper documentation of tested and deployed equipment.
4. Operational Support
Provide required equipment to data center operation engineers in a timely manner.
Support daily warehouse activities and logistics workflows.
Follow SOPs and contribute to process improvement suggestions.
We expect you to have:
2+ years of experience in warehouse logistics or a related field.
Basic understanding of IT equipment (servers, networking hardware, components).
Familiarity with inventory management processes and systems (ERP/WMS).
Strong attention to detail and organizational skills.
Ability to follow procedures and work in a structured environment.
Willingness to travel for business needs.
Key Employee Benefits:
Health Insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan:
Up to 4% company match with immediate vesting.
Parental Leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Disability & Life Insurance:
Company-paid short-term, long-term, and life insurance coverage.
Compensation
We offer a competitive rate from $30/hr - 44/hr, based on your experience.
Join Nebius Today!
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$30
—
$44 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Bengaluru, India
Workplace: Hybrid
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
About the Role
We're looking for a software engineer who ships fast without dropping quality. You'll own features end-to-end with support from senior engineers, learn how AI systems behave in production, and see your work reach customers within days rather than quarters. The Bengaluru team is product engineering, so everything you build is customer-facing.
What You'll Do
- Development & Implementation - Build scalable backend services, APIs, and AI-powered features using TypeScript/Node.js, Python, and cloud platforms.
- Collaboration & Learning - Work closely with senior engineers, participate in code reviews, and contribute to technical and architecture discussions.
- Product Integration - Partner with Product, Design, and Customer Success to translate requirements into robust, customer-facing solutions.
Specifically, you'll:
- Build and ship features end-to-end, from backend services to customer-facing interfaces.
- Work on AI-powered workflows: prompt design, evaluation, and the systems that make LLMs reliable in production.
- Build integrations with CRM systems, scheduling platforms, and third-party communication tools.
- Fix real customer problems, often with a short loop between report and fix going live.
- Write comprehensive tests, add monitoring, and take ownership of what you ship after it ships.
- Participate in on-call rotation and incident response to ensure system reliability.
- Take loosely defined problems, ask the right questions, and drive them to done with minimal hand-holding.
Work Environment & Schedule
- Hybrid, based in Bengaluru - regular office presence expected for collaboration and team coordination.
- Some overlap with US business hours may be needed for client coordination and project work.
What You'll Bring
- 2+ years of software engineering experience, ideally full-stack, including at least 1 year in a fast-paced startup or growth-stage environment.
- Strong programming skills in modern JavaScript/TypeScript and Python, with backend development experience.
- Hands-on experience with AWS or GCP and modern deployment practices.
- Experience building and maintaining RESTful APIs and understanding of service-oriented architectures.
- Comfort working with SQL databases at scale.
- A track record of fast, high-quality execution - you move quickly and your work holds up.
- Self-driven: you unblock yourself, chase down context, and don't need work broken into small pieces.
- Comfort with ambiguity and changing requirements in a fast-moving startup.
- Curiosity about AI and LLMs - direct experience is a plus, appetite to learn is required.
- Low ego, high energy, and a bias toward shipping.
Bonus Points
- Experience with AI/ML technologies, LLMs, or conversational AI systems.
- Background in B2B SaaS or enterprise software.
- Previous startup experience or exposure to rapid scaling.
- Contributions to open source or active developer community participation.
- Experience with real-time systems, or event-driven architectures.
- Familiarity with Docker/containerization and orchestration tools.
Why Avoca
- Compensation in line with industry standards and above.
- Direct impact - your code powers thousands of businesses and millions of customer interactions.
- Accelerated learning - work on cutting-edge AI technology with experienced mentors.
- Clear paths for advancement as the company and team scale.
- A fast-moving, collaborative culture built for builders who thrive on speed, iteration, and impact.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: United States
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
(SLS00311) Remote-US
Location: United States
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
Location: California, USA
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
(SLS00335)Remote-US
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
seniorNew York, United States
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