Обязанности:
— Встреча посетителей офиса.
— Организация закупа товаров и продуктов на нужды офиса.
— Работа с первичной бухгалтерской документацией под руководством опытного наставника.
— Обеспечение чистоты и порядка в помещениях офиса.
— Работа с почтой и звонками.
— Поиск новых поставщиков, взаимодействие с действующими контрагентами по документам.
Требования:
— Опыт работы на аналогичной позиции.
— Опыт работы с первичными бухгалтерскими документами.
— Оконченное высшее или средне-специальное образование.
— Навыки пользования ПК (MS-Office, интернет, электронная почта и др.).
— Умение работать с большим объемом информации, в режиме многозадачности.
— Грамотная устная и письменная речь, четкая дикция, вежливость в общении.
— Желание помогать людям, коммуникабельность, ответственность.
Условия:
— Официальное трудоустройство с первого рабочего дня.
— Официальную заработную плату 2 раза в месяц (оклад + премия).
— График работы 5 дней в неделю, с 9:00 до 18:00, сб. и вс. — выходные дни.
— ДМС, +1 день к отпуску за каждый год работы.
— Бесплатное подключение СберПрайм+ и подписки к сервисам Экосистемы.
— Льготная ипотека от Сбербанка.
Handle 3rd line support tickets (complex incidents and service requests); Participate in infrastructure analysis and make recommendations for upgrades and improvements;
УдалённоseniorСанкт-Петербург
Зарплата не указана
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
This is a new product within the Joom ecosystem: an AI assistant for the e-commerce operator. You will drive its creation and scaling as an AI-powered operating system for merchants.
Задачи:
— Define and execute the product strategy and roadmap for JoomAI
— Build and expand integrations with external platforms (ERP systems, Mercado Livre, WhatsApp, and others), turning JoomAI from an assistant into an operator that executes tasks on behalf of sellers
— Work directly with e-commerce sellers to identify high-value use cases and translate them into product decisions
— Design and ship AI agents and automated workflows that solve recurring seller problems
— Lead a focused product and engineering team
Требования:
— 5+ years in product management, with a strong track record of owning products end-to-end, from strategy through launch and scaling
— Time as a CPO or Head of Product is strongly preferred
— Proven experience in a senior product leadership role at a startup or high-growth tech company, ideally having launched and scaled products from zero to meaningful scale
— Exceptional product strategy and judgment: able to define a vision, prioritize ruthlessly, and translate ambiguous problems into a clear roadmap
— Hands-on, data-driven approach to product, comfortable working directly with analytics
— Practical experience building with LLMs and AI agents, including a working understanding of how they behave, where they fail, and how to evaluate output quality
— Strong enough technical fluency to scope work, assess timelines, and reason about integration complexity and architecture trade-offs with your engineering team
— Cross-functional operator: able to work fluidly across product, engineering, marketing, and commercial/content, and to lead a small but high-caliber team
Условия:
— Compensation package: base salary, performance-based bonuses and stock options
— Office-first: flexible hours with a possibility to work remotely
— 52 days per year, and 22 days of paid annual leave
— Relocation support: full assistance for a smooth relocation for employees and their family
— Care & wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave
— Team & growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English courses
— Community & engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of teamwork
-Проектирование, разработка и поддержка гибкого функционала CRM. -Участие в оптимизации процессов: детализация задач, разбор и предотвращение инцидентов.
Location: Remote, Global
ABOUT SUPABASE
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
ABOUT THE ROLE
Supabase manages millions of Postgres instances and is growing. We have strong teams across observability, release engineering, and incident management — and we're concentrating our reliability efforts into a dedicated SRE practice that ties the discipline together across the platform.
You'll be embedded within Service Operations, and your primary job is to make every engineering team more reliable — not by owning their infrastructure, but by establishing the practices, frameworks, and feedback loops that let them own reliability themselves. You'll work across the org: sometimes setting the standard, sometimes pair-programming a fix, sometimes helping a team define their error budget, sometimes telling them it's exhausted.
This role is ideal for someone who has a strong vision for how SRE should work and thrives in async, fast-paced environments where influence matters more than authority.
WHAT YOU'LL OWN
- Partner with service teams to define meaningful SLIs and SLOs grounded in customer experience, and build the error budget policies that turn them into engineering decisions
- Own and evolve the Operational Readiness Review (ORR) process — conducting reviews for new services and major changes across observability, alerting, runbooks, capacity, and graceful degradation
- Strengthen the incident-to-improvement pipeline: connecting postmortem findings to operational readiness gaps, identifying repeat failure patterns, and driving systemic fixes
- Act as the reliability expert teams pull in for architecture reviews, failure mode analysis, dependency mapping, and resilience design
- Identify and quantify operational toil across the org, and build or advocate for automation that eliminates it
- Help teams design sustainable on-call practices: alert quality, escalation paths, runbook coverage, and noise reduction
- Track and report on org-wide operational maturity, surfacing systemic gaps and driving remediation
YOU MIGHT BE A GOOD FIT IF YOU
- Have 7+ years of experience in SRE, production engineering, or reliability-focused roles, including experience shaping SRE practices and driving adoption across engineering teams
- Have a software engineering mindset — you write code and build tools, not just configure them
- Have hands-on experience defining and operationalizing SLOs/SLIs at scale, including error budget policies that actually influenced engineering decisions
- Have deep experience with incident response, postmortem facilitation, and turning incident learnings into systemic improvements
- Have worked with large-scale multi-tenant systems (bonus: managed database platforms or Postgres)
- Are proficient with cloud infrastructure (AWS preferred) and infrastructure-as-code (Pulumi preferred, Terraform/CDK also acceptable)
- Communicate clearly and persuasively — this role requires influencing without authority across a distributed org
- Have experience in async or globally distributed teams
- Are energized by making other teams more effective rather than being the one who fixes everything
NICE TO HAVE
- Experience with Kubernetes-based platform operations
- Familiarity with OpenTelemetry, VictoriaMetrics, Grafana, or similar observability tooling
- Experience building developer-facing reliability tooling (SLO dashboards, ORR frameworks, toil tracking, DORA metrics)
WHAT WE OFFER
- Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
- ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
- Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
- Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
- Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
- Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
- Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
ABOUT THE TEAM
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
- ~400 team members
- 60+ countries
- 20+ languages spoken
- Over $1B raised (including our $500M Series F)
- 540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
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• Контроль качества опробования, пробоподготовки и аналитических работ в соответствии с регламентами QA/QC. • Организация и ведение программы контроля качества: стандартные образцы, дубликаты, холостые пробы, межлабораторные сличения.
Location: Novi Sad, South Bačka, Serbia, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a Senior Software Engineer to join our SaaS Connectors team to build challenging new features of our data pipeline service, to improve our software architecture, and to maintain reliable operation of the service.
This is a full-time position based out of our Novi Sad office.
Technologies You’ll Use
Java
SQL
Kubernetes
Docker
AWS
GCP
BuildKite
Grafana
What You’ll Do
Work on core features of the product
Write connectors to integrate with source systems
Contribute to feature enhancements and bug fixes
Write well-structured Java code following programming best practices
Specify a software design to satisfy project requirements
Participate in team on-call duty
Skills We’re Looking For
Strong coding, technical and problem-solving skills with 5+ years of professional experience writing Java based applications in production environment
Expertise in working with popular Cloud platforms, Cloud-based APIs, databases
Hands-on experience working with RESTful APIs
Work well in a team
Can troubleshoot problems with existing code
Experience in performance optimisations
Bonus Skills
Experience in reliable distributed systems, with an emphasis on high-volume data management platform that operate under strict SLAs
Developing services communicating with 3rd party REST APIs.
#LI-DC1
#LI-HYBRID
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
The Director, US Tax & Accounting (title subject to discussion during calibration) will be responsible for preparing and reviewing standard US tax returns, including individual (1040), partnership (1065), S-Corporation (1120-S), and C-Corporation (1120) returns.
Твои задачи: Разработка, согласование, развитие и реализация стратегии бренда Familia. Разработка и реализация федеральных и сезонных рекламных кампаний (ТВ, OLV, ООН, места продаж) – от брифа креативных и продакшн команд до реализации.
Un(e) Développeur(-euse) Expérience IA est responsable du cycle de vie complet des parcours que nos clients vivent avec l'agent IA d'Upgrade par clavardage, par téléphone et par courriel : création, optimisation, gestion des cas particuliers et augmentation du taux de résolution autonome. Création de parcours :
Provide Tier 1 and Tier 2 support through tickets, chat, email, and remote support sessions. Support macOS, Windows 11, Microsoft 365, Teams, Slack, and Zoom environments.
Требуется HR-бизнес-партнер (HR BP) для поддержки эффективной работы команды и достижения бизнесом максимальных результатов.
Требования:
— понимание полного цикла HR-процессов: подбор, адаптация, оценка, обучение, развитие и мотивация персонала
— владение инструментами HR-аналитики
— умение стратегически мыслить, принимать решения и нести ответственность за свои решения
— знание специализированных программ: 1С:ЗУП, Microsoft Office (Word, Excel, Outlook)
— внимательность к деталям и аккуратность
— хорошие организаторские навыки и умение планировать рабочее время
— навыки работы с данными (HR-метрики, аналитика)
Задачи:
— поддержка руководителей в проекте масштабирования Агентской сети, консультирование и помощь в операционном управлении персоналом
— контроль соблюдения внутренних регламентов при оформлении изменений
— проведение аналитики и работы с метриками: анализ текучести, производительности, вовлеченности, выявление зон риска и точек роста
— HR-администрирование и поддержка кадровых процессов
— выстраивание архитектуры коммуникаций с сотрудниками, работающими на точках продаж
— внедрение цикла оценки и performance Review: формирование культуры проведения 1-on-1, калибровочные сессии, работа с low level
— участие в регулярных процессах команды — адаптация, обучение, сбор данных
Location: San Francisco; New York
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
Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams.
As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders.
As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective.
Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have.
You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams.
WHAT YOU'LL DO
Design the joint go-to-market motion with strategic partners
- Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way.
- Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership.
- Turn those into co-sell plays with clear entry points, owners, and next steps for both sides.
- Run account mapping with partner teams so the plays land on specific accounts, not just slides.
Activate partner field teams
- Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so.
- Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter.
- Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team.
- Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute.
Enable Baseten's own sellers on partner motions
- Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run.
- Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes.
- Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one.
Measure and evolve programs
- Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline.
- Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests.
- Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next.
WHAT WE'RE LOOKING FOR
- 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company.
- Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar).
- You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting.
- Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly.
- You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework.
- Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours.
Strong candidates may come from a mix of backgrounds such as:
- Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers.
- ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA.
- Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume.
- A partner-facing SA or SE who moved into enablement or GTM strategy.
NICE TO HAVE
- Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs.
- Experience at an AI infrastructure, model provider, or developer platform company.
- Built a partner function or partner enablement program from scratch at a growth-stage company.
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).
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are now one company. Together we build the data movement and transformation tools that data teams around the world rely on. Our Analytics team runs on those same tools every day, so you'll work on a modern data stack and help set best practices for the industry. As a Senior Product Analyst, you'll help product leaders understand how customers adopt, use, and stay with our core Fivetran data movement and dbt platform products as well as new product releases spanning AI, BI, and compute. You'll be a "full-stack" analyst. You'll build the data models, define the metrics, create the dashboards, run the analysis, and turn it all into recommendations that shape what we build next. AI is part of how we work. We expect analysts to use AI tools thoughtfully to accelerate analysis and increase efficiency, while applying their own judgment and validating the results. This is a full-time, flexible hybrid position based in Oakland, CA. Our hybrid work model offers remote flexibility and in-person collaboration; there is no fixed number of required office days, and we encourage teams to meet in person regularly.
Why This Role Is Exciting
Two product portfolios just came together.
Many questions about how customers use Fivetran and dbt together have never been asked. You'll be one of the first people to answer them.
Your work drives leadership decisions.
You'll focus on adoption, engagement, and retention, the metrics product leaders use to decide where to invest.
You own the work end to end,
from raw data to the decision it informs.
You'll analyze products built for people like you.
Our customers are data teams.
Technologies You’ll Use
SQL (BigQuery / Snowflake)
dbt / dbt State
Looker / LookML / Omni
Hex / Sigma / Google Sheets
Claude Code / Codex
What You’ll Do
Partner with product managers and product line leaders to understand problems and potential solutions with data. Deliver regular analysis and insight on product adoption, engagement, and retention.
Proactively investigate trends in user behavior and product usage. Find issues and growth opportunities before anyone asks, and use them to shape product and growth strategy.
Define, measure, and monitor the KPIs that show whether our products are healthy and whether the company is on track.
Size the potential impact of new product initiatives and recommend how to prioritize them.
Analyze product launches and experiments, and recommend what to do next.
Find and reduce friction in the funnels users go through to sign up, activate, and adopt our products.
Tackle questions where product data meets broader business data, such as revenue, sales, and support.
Build and maintain the data models, metrics, and dashboards behind your work.
Help new hires, colleagues, and partners understand our data and use it well, so data-informed decisions become the norm.
Skills We’re Looking For
5+ years in analytics, mostly in product analytics, ideally at a high-growth B2B or SaaS company.
Advanced SQL. You can turn messy, raw data into clean, trustworthy datasets, and write, debug, and explain SQL yourself.
Comfort using AI tools in analytics workflows to explore data, draft or improve SQL, automate repetitive work, and synthesize findings. You can evaluate and validate AI-generated output.
Hands-on experience building data models, ideally with dbt, creating dashboards in a BI tool such as Looker, Omni, or Tableau, and performing funnel, cohort, and segmentation analysis.
A track record of using analysis to drive product or business decisions, not just report on them. You can take an open-ended question with little direction and turn it into a clear analysis and recommendation.
Strong attention to detail and prioritization. Clear written and verbal communication, including the ability to explain findings to executives and technical tradeoffs to engineers.
Experience influencing cross-functional, distributed teams, both asynchronously and in real time.
Bonus Skills
Experience designing and analyzing experiments (A/B/n tests), including test design, sample size, significance, and turning results into launch decisions.
Deep knowledge of the SaaS customer lifecycle and business metrics, such as ARR (annual recurring revenue), retention, and expansion.
Experience defining product events and helping teams self-serve in product analytics tools like Amplitude, Mixpanel, or Heap.
Experience developing and scaling a large dbt project.
Python or R for analysis.
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$156,082
—
$195,102.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
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read our statement here
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We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
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. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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 [TODO: confirm whether a tech lead stepping into management qualifies]
- 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).
Аналитик является ключевым членом отдела корпоративного развития, предоставляя стратегические рекомендации, содействуя сделкам, управляя сложными финансовыми проектами и поддерживая портфельные компании в рамках венчурной деятельности. • Разрабатывать и поддерживать финансовые модели для оценки компаний и инвестиционных возможностей.
ГибридАлматы
Зарплата не указана
УдалённоМожно работать из любой страны
Зарплата не указана
seniorNovi Sad, South Bačka, Serbia, EMEA
Зарплата не указана
ГибридleadSan Francisco; New York
200 000 – 250 000 $
seniorOakland, California, United States, AMER
Зарплата не указана
ГибридSan Francisco
165 000 – 330 000 $
Все вакансии в одном месте — страница 13 · Job Hunters