Location: Abu Dhabi; Dubai
Workplace: OnSite
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an early member of our Partner Team, you will work closely with our Partner and GTM teams to drive the adoption of our state-of-the-art enterprise AI platform and models.
WHAT YOU WILL DO
Your scope will be as follows:
Pre-Sale & Sales Activities:
• Execute on effective technical discovery with partners to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives
• Help onboard AI Platform and model updates to strategic partner platforms
• Drive enablement at scale across strategic partner technical and sales teams
• Create and update assets for partner enablement portal: technical decks and docs, enablement videos, reference architectures, etc.
• Support partners in identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer.
• Collaborate with the partner and Mistral sales teams to progress deals and penetrate accounts, providing technical expertise and insights where necessary.
• Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.
Product Implementation & Integration:
• Be the “user zero” to crash-test and experiment on newly-deployed models, features and tools in order to proactively document them, suggest fixes and improvements and escalate more in-depth feedback to the engineering teams.
• Help build relevant tooling for quality control of our model deployments on each ☁️ (SDK, availability, scalability)
• Guide and support partners and customers in deploying our text completion API into their infrastructure.
• Work closely with customers and partners to fine-tune models according to their specific requirements.
• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.
Customer & Partner Success & Support:
• Collaborate with Account Executives to ensure that the customer is maximizing the product's potential.
• Provide post-deployment support, addressing any issues or challenges that arise promptly.
• Offer recommendations for product optimizations or new features based on customer feedback.
• Develop custom features for customers as needed.
WHAT WE'RE LOOKING FOR
• Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer).
• Experience partnering with large technology cloud or platform providers, sales and technical teams driving technical account strategy, proof-of-concept scoping, and execution.
• Hands-on experience in deployment AI solutions and leveraging technical skills throughout implementations
• Ability to successfully drive complex interactions with tech teams and to connect with technical stakeholders
• Strong Python development skills with proven ability to integrate data from multiple sources. Working knowledge of cloud architecture and deployment patterns for AI/ML solutions
• Experience building enablement assets and driving enablement or evangelism at scale
• Track record of managing complex implementation projects from discovery to delivery
• Experience running solution design workshops and translating business requirements into technical specifications
• Strong stakeholder management skills, including experience working with C-level executives
• Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences
• Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience)
• Nice to have: track record in managing partnerships and customer-facing interactions, creating strong relationships that align with business objectives and bring customer satisfaction
• Nice to have: Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message.
• Experience working in a constantly changing environment with multiple internal stakeholders
• Demonstrated ability to collaborate with cross-functional teams
• Strong written and verbal communication skills in English (fluent) and, ideally, other European languages
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
ОфисAbu Dhabi; Dubai; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Требования:
— Фокус: CDP, DWH-модели, dbt, Data Vault 2.0
— Стек: SQL, dbt, Data Vault 2.0, Data Modeling, Source-to-Target Mapping, Data Documentation на английском языке
— Опыт работы аналитиком данных / analytics engineer от 3 лет
— Уверенный SQL
— Практический опыт с dbt
— Понимание принципов моделирования данных
— Опыт или хорошее понимание Data Vault 2.0
— Умение документировать данные, метрики и бизнес-правила
— Готовность писать описание данных на английском языке
— Самостоятельность на уровне Middle+: умеет разбираться в источниках, задавать правильные вопросы и доводить модель до production-ready состояния
— Будет плюсом: опыт в CDP / CRM / customer analytics, опыт работы с DWH и витринными слоями данных, понимание event-driven данных и клиентских событий, опыт описания data contracts, data lineage или business glossary
Обязанности:
— Разработка и поддержка моделей данных в dbt
— Проектирование аналитических сущностей и витрин
— Работа с Data Vault 2.0: hubs, links, satellites, marts
— Написание и оптимизация SQL-запросов
— Описание данных и подготовка технической документации на английском языке
— Анализ источников данных и согласование бизнес-правил
— Участие в развитии CDP-контуров: клиентский профиль, события, атрибуты, сегменты
— Проверка качества данных и базовая data validation
About Upsun (formerly Platform.sh): Upsun is a cloud application platform designed for hybrid teams where AI agents write and test code and humans focus on problem-solving. It offers predictable performance, secure and compliant environments, real-time observability, fast cloning and provisioning, and AI-ready features. The company supports a global remote workforce and values curiosity, innovation, and collaboration.
Impact of a Customer Retention Manager:
As a Customer Retention Manager, you will protect and grow revenue across a high-volume portfolio of customer accounts through proactive human outreach and health monitoring. You will build relationships at scale, catch risks early, and ensure renewal conversations are natural and low-friction. You will work within workflows, health scoring, automation, and segmentation to scale retention effectively. Reporting to the VP of Customer Success, you will collaborate with Sales, Customer Success, Product, Data, and GTM teams to inform retention strategy and engagement models.
What to expect:
— Manage a rolling pipeline of customer renewals, initiating conversations ahead of contract expiration and driving accounts to close.
— Help build and improve scalable retention and renewal workflows using Salesforce and integrated tools.
— Own direct outreach to smaller and long-tail accounts by proactively building relationships.
— Contribute to designing customer lifecycle journeys, engagement triggers, and tech-touch motions.
— Use customer health scoring frameworks to identify at-risk accounts early and develop save strategies.
— Support implementation of automated outreach, lifecycle campaigns, and renewal risk workflows, and identify opportunities to leverage AI and automation.
— Negotiate pricing, contract terms, and multi-year agreements within company guidelines.
— Partner with Customer Success Managers and Account Executives to identify and close upsell and cross-sell opportunities during renewals.
— Collaborate closely with internal teams to support retention strategy and customer engagement.
What you bring:
— Experience managing a rolling renewal pipeline and engaging customers ahead of contract expiration.
— Commercial negotiation skills for pricing, contract terms, and multi-year agreements.
— Ability to identify at-risk accounts early and collaborate on save strategies.
— Hands-on experience with Salesforce or similar CRM, including operational workflows or lifecycle processes.
— Solid understanding of customer health scoring, lifecycle automation, and retention strategy.
— Proven ability to identify upsell and cross-sell opportunities in partnership with CSMs and Account Executives.
— Comfort operating across customer-facing engagement and systems/process design conversations.
— Commitment to continuous improvement and seeking better ways to engage customers and support scalable operations.
Where we hire:
Remote work with focus on candidates located in the UK, France, Spain, Germany, or Canada. No visa sponsorship available; candidates must be authorized to work in these countries.
How we hire:
Four video interviews via Google Meet: Talent Acquisition (45 min), Hiring Manager (60 min), Team (60 min), Executive (45 min). Background checks required.
What we offer:
— A product with positive impact as a proud B Corp.
— Recognized workplace by Forbes and France’s Best Workplaces for Women.
— Flexible, open, and inclusive culture valuing employee voice.
— Global diverse team.
— Benefits including flexible PTO, comprehensive healthcare (UK, Canada, France, Spain, USA), company stock options, professional development budget, office equipment budget, wellness budget, annual team gatherings, internet reimbursement, inclusive parental leave, and remote work travel program.
You belong here:
Upsun celebrates diversity and fosters an inclusive, equitable, and supportive workplace. Accommodations are available during the hiring process to ensure accessibility and comfort.
Impact of a Billing Systems Architect
As an Enterprise Billing Systems Architect at Upsun, you are the technical anchor of our billing infrastructure, playing a vital role in ensuring our revenue operations, pricing structures, and financial integrations run seamlessly as our business scales. Picking up primary ownership from our implementation partner, you serve as the dedicated technical lead bridging Finance, Product, and Engineering.
You’re deeply analytical, systems-minded, and collaborative—someone who thrives on translating complex business, pricing, and accounting rules into reliable system logic. Working downstream from our core engineering and data mediation teams, you ensure the integrity of our Quote-to-Cash (Q2C) platform while continuously optimizing platform performance and automation.
Beyond day-to-day platform administration, you contribute to the long-term evolution of our billing architecture—supporting new pricing model launches, complex usage rating schemes, and financial system integrations. Your attention to detail, technical versatility, and cross-functional mindset ensure our revenue pipeline remains scalable, compliant, and friction-free.
What to expect
Billing Infrastructure & Administration:
Serve as the hands-on technical owner of our BillingPlatform environment, configuring catalogs, price cards, usage rating rules, and automated invoice schedules.
System Operations & Maintenance:
Own ongoing platform health, including system updates, pricing launches, recurring bill-run troubleshooting, sync exception handling, and root-cause issue resolution.
Data Ingestion & Analysis:
Utilize SQL to perform data validation, rating engine auditing, and operational reporting while collaborating with Engineering to receive mediated usage data (e.g., via DigitalRoute or Kafka).
Integrations & API Management:
Maintain and optimize clean, API-driven integrations connecting BillingPlatform to upstream CRMs (e.g. Salesforce), downstream ERP/GL tools (e.g., NetSuite), and payment gateways (e.g., Stripe).
Revenue Recognition Alignment:
Partner closely with Accounting to ensure system rating rules, revenue schedules, and general ledger mappings satisfy ASC 606 and IFRS 15 compliance standards.
Cross-Functional Collaboration:
Gather technical and operational requirements directly from Accounting, Finance, Sales Ops, and Product teams, translating their vision into sustainable platform configuration.
Data Integrity & Migration:
Maintain billing data continuity and manage subscription data updates or migrations without disrupting ongoing financial operations or revenue recognition flows.
What you bring
Q2C Platform Experience:
Proven hands-on experience configuring and administering enterprise Quote-to-Cash or billing platforms (e.g., Zuora, Salesforce Revenue Cloud/CPQ, NetSuite Billing, Aria Systems, or BillingPlatform).
Data & Technical Skills:
Strong proficiency with SQL for querying and auditing billing data, alongside a solid grasp of REST APIs, webhooks, and ETL workflows.
Modern Pricing Expertise:
Experience supporting complex SaaS or infrastructure pricing models—such as PLG, hybrid commitment-plus-usage, tiered rates, and consumption-based/metered billing.
Revenue Recognition Knowledge:
Practical understanding of rev rec fundamentals (ASC 606 / IFRS 15) and how accounting rules dictate billing engine design.
Cross-Functional Communication:
Ability to bridge technical language and financial business logic, effectively collaborating with engineering teams and accounting stakeholders alike.
Problem Solving & Troubleshooting:
A methodical approach to diagnosing system sync errors, rating anomalies, and integration edge cases to ensure operational continuity.
Bonus points
Experience with DigitalRoute mediation software or Kafka event-stream data intake
Previous exposure to cloud infrastructure, PaaS, or developer-platform usage metrics
Background supporting system migrations from implementation partners into internal teams
Where we hire
Remote work with focus on Australia, Canada, France, Germany, Spain, the United Kingdom, and the United States. No visa sponsorship.
How we hire
Five video interviews on Google Meet including Talent Acquisition, Hiring Manager, Engineering team, Finance team, and Executive (CFO). Background checks required.
What we offer
A product you can believe in as a proud B Corp.
Award-winning workplace recognized by Forbes and France’s Best Workplaces for Women.
A culture valuing voice, flexibility, openness, and inclusivity.
A global team with diverse backgrounds.
Benefits including flexible PTO, comprehensive healthcare (UK, Canada, France, Spain, USA), company stock options, professional development budget, office equipment budget, wellness budget, annual team gatherings, internet reimbursement, inclusive parental leave, and remote work travel program.
You belong here
Commitment to diversity, inclusion, equity, and support for accommodations during hiring process.
Задачи:
- Техническое лидерство направления Kotlin Multiplatform: Android MDM и desktop-мессенджер
- Проектирование realtime-клиента поверх постоянного или streaming-транспорта
- Проектирование надёжного локального хранилища и синхронизации
- Клиентский threat modeling
- Диагностика производительности клиента с большой историей
- Формирование и внедрение AI-assisted практик на уровне команды
Требования:
- Глубокое знание Kotlin, Android и Compose
- Глубокий продакшен-опыт KMP, продакшен-опыт CMP Desktop
- Опыт проектирования realtime-клиента поверх постоянного/streaming-транспорта
- Опыт проектирования надёжного локального хранилища и синхронизации
- Умение проводить клиентский threat modeling
- Продакшен-опыт Android Enterprise/MDM либо сопоставимый опыт с Android system/security/enterprise API
- Опыт диагностики производительности клиента с большой историей
- Опыт в роли тех. лида с измеримым эффектом, умение принимать решения под жёсткими сроками
- Будет плюсом: опыт многошаговой/параллельной работы AI-агентов, CI/CD для mobile и desktop, автоматизация тестирования омниканальных продуктов и contract-тестов
Условия:
- Занятость: полная
- Оформление: ИП, обязательное подписание NDA (высокие требования к конфиденциальности)
- Формат работы: удалённо
Location: Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | 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 Team
The Security Engineering team's mission is to safeguard our AI systems and maintain the trust of our users and society at large. Whether we're developing critical security infrastructure, building secure development practices, or partnering with our research and product teams, we are committed to operating as a world-class security organization and keeping the safety and trust of our users at the forefront of everything we do.
What You’ll Do:
Conduct red and purple team engagements simulating advanced threat actors across our cloud infrastructure, endpoints and bare metal deployments.
Penetration test specific, high value deployments.
Contribute to AI-assisted security testing tooling and workflows.
Work cross functionally with other security and engineering teams, particularly on AI-specific attack scenarios.
Document and present findings to technical and executive audiences, translating attack narratives into actionable risk insights that inform security roadmaps.
Who You Are:
5+ years of hands-on experience in red teaming and offensive security operations
Deep expertise in at least two of: macOS security, Linux Security, Cloud security (GCP/AWS/Azure), Kubernetes, CI/CD pipelines
Track record of discovering novel attack vectors and chaining vulnerabilities creatively
Experience conducting adversarial simulations against well-defended environments
Strong engineering skills (Python, Go, or similar)
Ability to write clear findings that drive action, helping teams understand risk and prioritize fixes
Collaborative approach, working in close collaboration with the blue team
Strong candidates may also have experience with:
Prior work at organizations with state actor threat models
Interest in AI safety and how security engineering contributes to responsible AI developments
Background testing AI/ML systems or agentic workflows
Familiarity with detection engineering and SIEM/EDR platforms from the defensive side
Experience with data center security or hardware-based attacks
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$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.
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales.
Responsibilities
Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements
Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams
Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture
You might be a good fit if you have
5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.
A passion for the company's mission of building helpful, honest, and harmless AI.
Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP.
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models.
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building an Analytics Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
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:
$320,000
—
$405,000 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.
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: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Salesforce Developer at Anthropic, you will design, build, and maintain the Salesforce platform that powers our core customer motions and quote-to-cash business.: This includes automation throughout the Salesforce platform ranging from core sales automation to product catalog and pricing, quoting and approvals, order and contract management, and the handoff to billing and provisioning. You'll work both autonomously and collaboratively across RevOps, Order Management, Legal, Billing Engineering, Deal Desk, Finance and Accounting, and Product to translate pricing and packaging requirements into scalable Apex, Flow, and integration solutions, and to extend our capabilities with custom code where necessary. We are an AI-first systems team, and you'll be expected to use Claude and our in-house AI development tooling as a core part of how you write, review, and ship code, always against our house standards for flexibility, maintainability, and scale.
Where you might sit
We're hiring across more than one team. Placement depends on your background and where you can have the most impact.
GTM Systems:
Builds and runs the Salesforce platform and connected tools that Anthropic's sellers, sales leaders, and revenue operations teams rely on every day. You'd build the automation behind how deals move through the pipeline, how leads and accounts reach the right owner, and how information flows between our sales tools and the rest of the business. You'll work directly with the analysts and operators who define the process, and see the impact on the people who use what you ship.
QTC Experiences:
A vertically integrated team that spans quoting through to provisioning agreements, as well as customer billing experiences over the term of their agreement. You'd build the foundational systems for CPQ, order management, provisioning and billing experiences, envisioning how we make our sellers and ops teams orders of magnitude more efficient with Claude. You'll work cross-functionally with GTM, finance, accounting and other stakeholders. Your work will directly impact seller velocity and our GTM deal making capacity.
Key responsibilities
Develop and maintain Apex (triggers, services, selectors, batch/queueable), Lightning Web Components, and Flow automation following our house Apex standards and trigger framework
Design and build quote-to-cash infrastructure in Salesforce, including the product catalog and pricing data model, quote and order lifecycle, discount and approval automation, and amendment, renewal, and co-termination flows
Extend CPQ and expand into agentic selling with custom pricing and quote-calculation logic, quote and order user experiences, and code built against the package's APIs and data model
Build and own integrations between Salesforce and our billing, provisioning, and finance systems, such as Stripe, Metronome, and NetSuite, directly or via middleware
Support new product and pricing launches by modeling catalog, SKU, and pricing changes so they can be released quickly and reflected consistently in every downstream system
Use Claude and our internal AI development tooling as a first-class part of your build and code-review workflow
Partner with Business Systems analysts and Finance to ensure data-model decisions support downstream bookings, forecasting, and revenue reporting
Partner with DevOps on release management for your work: sandbox strategy, source control, peer review, and deployment via SFDX/metadata tooling
Ensure appropriate controls, test coverage, and documentation are in place for an effective control environment, particularly around pricing, discounting, and contract changes
Operate with ambiguity in a rapidly changing business, resolve problems independently, and propose solutions that scale
Minimum qualifications
Hands-on Salesforce development experience (Apex, SOQL, LWC, Flow) in a production org
Experience building or extending CPQ and quote-to-cash functionality in Salesforce (Salesforce CPQ, Revenue Cloud, Nue, or similar): product and pricing data models, quote and order lifecycle, approval automation, and amendments and renewals, including custom code written against the CPQ package rather than configuration alone
Experience integrating Salesforce with billing, ERP, or provisioning systems via REST/Bulk APIs, middleware (Workato, Mulesoft, or similar), or direct callouts
Fluency with SFDX, source-controlled metadata, and a sandbox-to-prod release process with peer review
Active use of AI-assisted development tools (Claude, Copilot, Cursor, or similar) as part of how you write and review code, and the ability to speak to how you steer and verify their output
Basic SQL skills and comfort working alongside a data warehouse
Effective communication with sales, deal desk, finance and accounting, product, and engineering stakeholders
Preferred qualifications
Salesforce Platform Developer I and II certifications
Advanced Administrator or Application/System Architect certification
Deep understanding of Salesforce platform constraints: governor limits, bulkification, sharing and visibility, recursion control, and how they surface in CPQ-specific situations such as large quotes, calculation performance, and bulk amendments
Experience implementing a CPQ solution end to end or re-platforming from one CPQ to another, not just maintaining an existing one
Experience with billing and finance platforms such as Stripe, Metronome, or Oracle, and with usage-based or consumption pricing models
Working understanding of how CPQ design decisions flow through to bookings, invoicing, and revenue recognition
Proven experience scaling Salesforce in a high-growth GTM environment
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:
$270,000
—
$315,000 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.
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About 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
Join Anthropic as a Customer Success Manager for Life Sciences. You’ll be a strategic partner and trusted advisor to leading organizations working to accelerate scientific discovery, such as research institutes, academic medical centers, and scientific foundations. You’ll help these organizations harness the full potential of Claude through deep product expertise, use case discovery, and hands-on guidance.
You’ll be part of a Research and Life Sciences account team pod, working as one team with your Account Executive and Applied AI partners. Together you’ll shape account strategy with you taking the lead on adoption, change management, and value realization.
This role doesn’t follow a single playbook. You’ll run a range of Customer Success motions, from deep 1:1 strategic partnership to one-to-many programs like webinars, hackathons, and cohort-based enablement. You’ll choose the motion based on top account and customer priorities and the best way to solve for them.
The insights you gather will directly inform our research priorities, product development (including how Claude for Life Sciences evolves), and strategies for beneficial AI deployment. That makes you a key voice in how we build and deliver AI systems that accelerate science for the benefit of society.
Responsibilities
Build trusting, strategic relationships with research leaders, scientists, principal investigators, and program directors to understand their scientific priorities, organizational goals, and impact objectives
Partner closely with your Account Executive and Applied AI counterparts in the Research and Life Sciences pod on shared account plans, bringing in Product, Support, and other teams as needed
Run the right Customer Success motion for each account and customer priority, whether that’s dedicated 1:1 engagement, cohort-based onboarding, hackathons and build days, office hours, or researcher communities
Become an expert in Anthropic’s products, especially Claude for Science, guiding organizations and their researchers and scientists to the right solutions and most impactful use cases
Monitor usage patterns and proactively drive adoption, identifying optimization opportunities and new applications for Claude across your book of business
Develop and execute change management strategies suited to scientific and academic cultures, including Train the Trainer programs, Center of Excellence development, and enablement that respects partner capacity, governance requirements, and decision-making processes
Guide partners through the technical and governance foundation for launch, including SSO and provisioning, workspace configuration, and data handling considerations for research and health data (such as HIPAA, IRB, and institutional data policies)
Own account and success plans and run Quarterly Impact Reviews that document and quantify value realized, such as research productivity, time-to-insight, and cost savings, and partner with Marketing on success stories and reference accounts
Establish the repeatable playbooks, templates, and health metrics that define what “great” looks like for customer success in life sciences at Anthropic
You may be a good fit if you have
6+ years of experience in Customer Success, Technical Account Management, Solutions Engineering, or consulting
3+ years of experience in life sciences research, with exposure to new technologies as a catalyst for accelerating progress
Experience working directly with life sciences organizations, such as academic research institutions, research institutes, foundations, biotech, or pharma, and familiarity with how scientific research is conducted, funded, and governed
An understanding of the regulatory, risk, and compliance needs of the industry
Experience driving success across both consumption-based and seat-based business models, with an understanding of the expansion levers and success metrics for each
Experience managing dedicated strategic accounts and delivering one-to-many programs, with the judgment to choose the right motion for the customer priority at hand
Strong cross-functional collaboration skills, including working as part of an account team with Sales and technical partners and advocating effectively for customer needs
Technical fluency in AI/ML concepts, API integrations, and software implementation patterns, and the ability to explain them to audiences ranging from bench scientists and computational researchers to institutional leadership. Familiarity with scientific data types, research workflows, or bioinformatics tooling is a strong plus
A data-driven, AI-first way of working, using adoption signals to guide decisions and building Claude-powered workflows into how you engage partners
Passion for both AI and accelerating scientific progress, with a strong interest in ensuring frontier AI systems are developed safely, ethically, and deployed to benefit society
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves” mentality. You are a true team player
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:
$200,000
—
$265,000 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.
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: Almaty, Kazakhstan; Tbilisi, Georgia; Yerevan, Armenia; Belgrade, Serbia; Minsk, Belarus; Tashkent, Uzbekistan
The Vault is an MPC-based crypto custody platform for institutional and retail clients, running threshold signing across HSM and Ledger hardware. We're scaling toward Series A, launching our productized platform in 2026, and publishing original cryptographic research alongside the product.
We're hiring a Staff Engineer to design and ship the custody platform's hardest backend code. This is a hands-on IC role with real technical leadership — no people management — where you drive non-trivial initiatives through code, RFCs, and mentorship.
You'll shape architecture in your area of ownership; platform-wide decisions sit with technical leadership. We're AI-forward (Claude Code, Cursor, Codex), and we need engineers who can read AI-generated code critically and catch what it misses — not just prompt it.
You'll naturally gravitate toward either the security-critical core (MPC, threshold signing, HSM/Ledger integration, key lifecycle) or the faster-moving periphery (chain adapters, integrations, APIs/SDKs).
What you'll do
Design, write, and ship critical platform components: policy engine, signing orchestration, key lifecycle workflows, recovery flows, approvals, audit trails, multi-tenant wallet and account services.
Lead non-trivial cross-cutting initiatives in your area — through written RFCs, design reviews, and code, not through hierarchy.
Build high-load, multi-tenant SaaS systems: tenant isolation, quotas, rate limits, backpressure, concurrency control, predictable latency under spikes.
Distributed systems & reliability: idempotency, retries, outbox/inbox, event-driven workflows, sagas and state machines, replay, graceful degradation.
Security-by-design: least privilege, secret handling, mTLS/JWT, tamper-evident logs, audit-ready data models — designed for SOC 2, ISO 27001, and DORA scope from day one.
Performance & data: profiling, load testing, benchmarking, contention analysis, GC tuning; strong relational modelling (Postgres or equivalent), migrations, indexing, clear consistency boundaries.
AI-assisted development as a core competency: ship production code with Claude Code, Cursor, and Codex; build the prompt and agent patterns that work for your area; contribute to the company's AI engineering practices; know when to use AI heavily (periphery, integrations, tests, docs) and when not to (cryptographic core, signing paths) where blind generation is unsafe.
Set patterns and shared libraries for the services your area touches; raise the bar through code review and example.
Own features end-to-end: design notes / RFCs, code, tests, observability, rollout, on-call. No "throw it over the wall" handoffs.
Mentor senior engineers: your reviews and your written designs are the strongest signal to the rest of the team.
Requirements
Must-have experience
Strong CS fundamentals — our primary screening criterion. You can reason from first principles about concurrency, distributed systems, consistency models, networking, and OS behaviour. You know not just what locks and channels do, but why and when. You understand what's happening under the hood, not only at the API level.
Ownership mindset. You've owned non-trivial production systems end-to-end — design, ship, measure, improve, on-call. You don't wait to be told what to do, and you don't ship code you don't understand.
10+ years backend engineering, including 3+ years operating at Staff level (or equivalent senior IC scope). Strong production experience in a modern systems language — Go, Rust, Java, C++, or comparable. Hands-on Go experience, or genuine readiness to ramp on Go in the first month.
Track record of Staff-level technical leadership through code, RFCs, and influence — without formal authority over teams. You can point to RFCs you wrote that the team adopted, initiatives you drove without being the manager, patterns you set that outlasted you.
Proven track record building high-load, multi-tenant SaaS in production (HA, incident response, SLOs).
Hands-on with modern backend stacks: gRPC/HTTP, queues/streams, caching, relational databases, Kafka/NATS or equivalent.
Strong testing discipline: unit/integration/contract tests, testability-first design, deterministic CI.
Strong observability habits: structured logging, metrics, tracing, end-to-end production debugging.
REQUIRED: production-grade use of modern AI coding tools (Claude Code, Cursor, Codex, or comparable). You can point at what you've built with them. You read AI-generated code as a hostile reviewer, not a grateful recipient — you have instincts for what AI tends to get wrong, and you don't ship code you couldn't have written yourself.
Nice to have
Exposure to custody, wallets, or signing systems (MPC, HSM, TEE, key management, approvals).
Hardware wallet integration (Ledger).
Multiple blockchain ecosystems (EVM and Bitcoin minimum; Cosmos, Solana, others a plus).
Built custom agents, MCP integrations, or in-repo AI workflows that compounded a team's productivity.
Designed and run evals for AI-generated code (correctness, security, style).
Kubernetes and service mesh in production; SRE practices.
Regulated-environment experience (fintech, security audits, compliance-driven engineering).
Threat modelling and security review participation.
Familiarity with SOC 2, ISO 27001, and DORA — enough to design for them.
What this role is NOT
A people management role.
A pure architecture / whiteboard role. You write production code in this codebase every week, and platform-wide architectural ownership sits elsewhere.
A research-only cryptography role. You collaborate with our Cryptography Researcher; your focus is platform engineering, not protocol design.
Pure feature ticket execution. If you wait to be told what to do, this won't work.
Benefits
A Staff IC role with real technical leadership — no people management, no sprint mechanics gauntlet, no architecture-by-committee.
An AI-forward engineering culture with budget and autonomy for the tooling, models, and agents you need.
Direct peers in cryptography research, security architecture, product, and delivery — you're not the only senior voice in the room.
Fully remote, any time zone with reasonable overlap with EU/CIS hours.
Competitive comp at the Staff engineer band; equity participation; full benefits.
A product approaching Series A with paying institutional customers and a published cryptographic research line
Location: Philippines
About the Role:
We are looking for a motivated and detail-oriented
Business Analyst Intern
to join our team. This is an excellent opportunity for students or recent graduates with a keen interest in product, data, and process improvement to gain real-world experience in a fast-paced, tech-driven environment.
Key Responsibilities:
Assist in gathering, analyzing, and documenting business requirements.
Support product and engineering teams with clear specifications and process flows.
Collaborate with cross-functional teams to help identify pain points and recommend solutions.
Prepare and maintain documentation such as user stories, acceptance criteria, and workflows.
Participate in meetings and communicate updates with stakeholders.
Analyze data to generate insights that support decision-making and product development.
Requirements:
Currently pursuing or recently graduated with a degree in Business, Computer Science, Information Systems, or a related field.
Understanding of SDLC, user stories, and requirements gathering
Strong communication skills – both written and verbal.
Excellent organizational and documentation skills.
Familiarity with tools such as Excel, Notion, Jira, or Figma.
Comfortable working with data; experience with SQL, Looker, Tableau, or Google Sheets modeling is a plus.
Self-motivated and eager to learn in a collaborative environment.
Must be based in the Philippines.
Bonus Points For:
A background in Computer Science or technical experience.
Interest in product management or software development lifecycle.
What You'll Gain:
Hands-on experience working with an experienced team of analysts, designers, and engineers.
Exposure to product development processes in a high-growth insurtech environment.
Opportunities to develop both technical and business skills that are in high demand.
Location: District 3, Vietnam
Location:
Vietnam – Ho Chi Minh City (Hybrid preferred: 2–3 days/week in office)
About the Role:
We are looking for a motivated and detail-oriented
Business Analyst Intern
to join our team. This is an excellent opportunity for students or recent graduates with a keen interest in product, data, and process improvement to gain real-world experience in a fast-paced, tech-driven environment.
Key Responsibilities:
Assist in gathering, analyzing, and documenting business requirements.
Support product and engineering teams with clear specifications and process flows.
Collaborate with cross-functional teams to help identify pain points and recommend solutions.
Prepare and maintain documentation such as user stories, acceptance criteria, and workflows.
Participate in meetings and communicate updates with stakeholders.
Analyze data to generate insights that support decision-making and product development.
Requirements:
Currently pursuing or recently graduated with a degree in Business, Computer Science, Information Systems, or a related field.
Understanding of SDLC, user stories, and requirements gathering
Strong communication skills – both written and verbal.
Excellent organizational and documentation skills.
Familiarity with tools such as Excel, Notion, Jira, or Figma.
Comfortable working with data; experience with SQL, Looker, Tableau, or Google Sheets modeling is a plus.
Self-motivated and eager to learn in a collaborative environment.
Based in
Ho Chi Minh City
with the ability to work
2–3 days per week in our office
preferred.
Bonus Points For:
A background in Computer Science or technical experience.
Interest in product management or software development lifecycle.
What You'll Gain:
Hands-on experience working with an experienced team of analysts, designers, and engineers.
Exposure to product development processes in a high-growth insurtech environment.
Opportunities to develop both technical and business skills that are in high demand.
Location: South Africa; Brazil; Mexico; Venezuela, Bolivarian Republic of; Colombia
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
About the company
Our client is a fast-growing health and longevity-focused wellness company specializing in metabolic science and personalized medical optimization. Operating at the intersection of clinical care and performance wellness, the team provides a comprehensive suite of services including medically supervised weight loss, peptide therapy, hormone optimization, and advanced recovery treatments like hyperbaric oxygen and cryotherapy. They serve a diverse demographic of high-performing individuals, from executives to proactive professionals, through a membership-based model that prioritizes long-term outcomes over reactive medicine.
With a focus on bridging the gap between traditional healthcare and peak performance, this organization utilizes data-driven diagnostic testing and custom-compounded protocols to help clients age smarter and recover faster. The team is dedicated to an evidence-based, patient-centric culture that values innovation and measurable impact. As they continue to scale their presence both physically and virtually, they offer a collaborative and forward-thinking environment for those passionate about the future of functional medicine and aesthetic rejuvenation.
Job Type
Full-time
Job Summary
We are looking for a strategic and high-energy Lead Account Manager to spearhead our client success efforts. In this pivotal role, you will oversee a book of 140 businesses while managing a dedicated team of four account managers. Your mission is to elevate the client experience, ensure rapid response times, and drive measurable growth for our partners. If you are a natural leader who thrives in a fast-paced environment and is passionate about delivering world-class service, we want to hear from you.
Key Responsibilities
Lead, mentor, and manage a team of four account managers to ensure peak performance.
Oversee a diverse portfolio of 140 client accounts, maintaining high satisfaction and retention.
Monitor and optimize Service Level Agreement (SLA) response times to ensure excellence.
Analyze client feedback and surveys to implement service improvements and strategy shifts.
Identify and execute opportunities for account growth and expansion within the existing book of business.
Act as the primary point of escalation for client needs and team challenges.
Requirements
Minimum of 2 years of professional experience in Account Management.
Proven leadership experience or the demonstrated ability to manage and develop a team.
Ability to work EST-aligned hours with flexibility for core team overlap.
Exceptional communication skills and a results-oriented mindset.
Strong organizational skills to manage high-volume client portfolios effectively.
Nice-to-Haves
Proficiency in Google Workspace.
Advanced English language proficiency.
Benefits
💰 Competitive salary
🌎 Fully remote work environment
🚀 Rapid career growth and progression opportunities
📈 Salary raises and performance-based bonuses
🎯 Future incentive structures currently in development
🕒 Flexible working hours with core overlap
Location: United States
SaaS Revenue & Financial Analyst — Flosum
About Flosum
Flosum is a Salesforce-native platform company delivering enterprise-grade DevOps, data protection, and security solutions to some of the world's largest organizations. Our product portfolio spans Cloud DevOps, Data Migrator, Data Masking, Data Backup, Org Security, Cloud Trust Center, and Sandbox Synchronization — all built natively on the Salesforce platform. We serve enterprise customers across technology, energy, financial services, healthcare, and federal government. Flosum is a growth-stage company operating with the intensity and speed of a startup backed by the discipline of a mature operator.
The Role
We're hiring a SaaS Revenue & Financial Analyst who will own the measurement layer of our entire business. You will be the person who knows every number — ARR, net retention, expansion, churn, pipeline conversion, cost of acquisition, gross margin by product line, services margin, cash flow, and everything in between. You'll work across Salesforce (our CRM and billing system of record) and QuickBooks (our financial system) to build a unified, always-current picture of company performance.
This is not a reporting role. This is an analytical role where you connect revenue operations data to financial outcomes and surface the insights that drive decisions at the CEO level.
What You'll Own
You will build and maintain our SaaS metrics infrastructure — ARR waterfall, cohort retention analysis, revenue recognition schedules, deferred revenue tracking, and unit economics by segment. You will reconcile Salesforce bookings data against QuickBooks revenue entries and ensure we have a single source of truth across both systems. You will produce monthly and quarterly financial and revenue packages for leadership, including variance analysis against plan. You will model scenarios for pricing changes, product bundling, geographic expansion, and headcount investment. You will monitor pipeline health and translate pipeline data into revenue forecasts with documented assumptions. You will own the data integrity between our CRM and accounting systems, flagging discrepancies before they compound. You will support board-level and investor-level reporting with clean, defensible metrics.
Requirements
What We're Looking For
You have three-plus years of experience in SaaS financial analysis, revenue operations, or FP&A at a B2B software company. You are deeply proficient in Salesforce — not as a user, but as someone who understands opportunity objects, product schedules, contract structures, and reporting at a data level. You are equally proficient in QuickBooks Online, including chart of accounts design, revenue categorization, journal entries, and reconciliation workflows. You understand ASC 606 revenue recognition principles and can apply them to a multi-product SaaS business with annual and multi-year contracts. You can build financial models from scratch in Excel or Google Sheets — not from templates, from logic. You think in terms of cohorts, not just totals. You understand the difference between bookings, billings, and revenue, and you can explain why each matters. You are precise, skeptical of your own numbers, and obsessive about data integrity.
Preferred
Experience at a company with a mix of subscription revenue and professional services. Familiarity with Salesforce CPQ or native Salesforce quoting and contract objects. Exposure to investor or board reporting at a growth-stage company. Experience with Marketo or HubSpot data as it relates to CAC and attribution modeling.
Why Flosum
You'll report directly into the CEO's operating rhythm. Your work will not sit in a queue — it will shape hiring plans, product investment, and go-to-market strategy in real time. Flosum is building the definitive platform for Salesforce lifecycle management, and we need someone who can measure every dimension of that growth with precision.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We launch new products, models and pricing often, and each launch has to work in our systems on day one. A seller needs to be able to quote it, Deal Desk needs to be able to approve it, billing needs to charge for it correctly, and Finance needs to report on it. This role owns how a launch gets into our quote-to-cash systems, from the first pricing conversation to the first invoice.
We are looking for someone who treats every launch as a change across many systems. You will join launch planning early, work out what has to change across catalog, quoting, contracts, billing, tax and reporting, and get all of it ready before the launch date. You will build a good part of the Salesforce work yourself and partner with our Salesforce developers and Billing Engineering on the rest. You will be the named owner of the NPI process for systems, and the person Product, Pricing and Finance call when they want to know what it takes to launch something.
We are an AI-first systems team. You will use Claude as a normal part of how you design, build, test and document, and you will look for ways to make launches faster and more repeatable with AI.
Key responsibilities
Own the systems side of new product and pricing launches, from the first pricing discussion through launch day and the first billing cycle
Turn a pricing and packaging decision into concrete system changes: SKUs, price books, bundles, discount and approval rules, contract terms, billing plans, tax codes and reporting
Build and run a repeatable NPI playbook: intake, a readiness checklist, sign-offs, a launch calendar and a post-launch review
Join launch planning early with Product and Pricing. Push back on pricing ideas that cannot be quoted, billed or reported cleanly, and offer options that can
Design how new pricing models work end to end, including usage-based, seat-based, tiered, committed and multi-year ramp pricing, and which system is the source of truth for each part
Plan the impact on existing customers: moving customers to new SKUs, grandfathering, amendments and co-termination, and how renewals will work
Own end-of-sale and retirement of products and prices, so old SKUs leave the catalog without breaking renewals, billing or reporting
Coordinate the changes across Salesforce, billing and our tax platform, working with the teams who own each system
Partner with Deal Desk, Sales, Finance, Accounting, Tax and Legal so each team signs off on what changes for them before launch
Make sure sellers and Deal Desk are ready on launch day, including quote templates, approval paths, guidance and enablement
Check every launch after it goes live: do quotes, orders, invoices and Finance reports match? Add the control or reconciliation that catches the gaps
Build and ship declarative solutions yourself where that is the right call, and write specs clear enough that developers can build the rest without several rounds of questions
Use AI to shorten launch cycles, for example generating catalog changes from a pricing spec, checking launch readiness, and testing quote and billing scenarios
Minimum qualifications
Experience in GTM or revenue systems as a Business Systems Analyst, Q2C Systems Lead or similar role, with hands-on ownership of product and pricing launches
Experience launching new products or pricing models at a fast-growing company, owning the change across catalog, quoting, contracts and billing
Hands-on experience with Salesforce CPQ, Revenue Cloud or a similar CPQ tool, especially product and pricing data models, price books, bundles and approval rules
Working understanding of how a pricing decision flows into bookings, invoicing, tax and revenue recognition
Experience running a cross-functional process with many sign-offs (Product, Finance, Legal, Sales) and getting to launch on a fixed date
Hands-on Salesforce admin skills (Flow, validation rules, page layouts, approval processes) and comfort building meaningful parts of your own solution
Clear communication across Product, sellers, Deal Desk, Finance, Legal and engineers, adjusting the level of detail for each
Preferred qualifications
Experience in GTM, revenue or finance systems roles
Experience with usage-based or consumption pricing, and with billing platforms such as Stripe, Metronome or Zuora
Experience moving existing customers onto new pricing, including migrations, grandfathering and amendments at scale
Experience with tax setup for new products (tax codes, tax engines such as Anrok or Avalara)
Experience with integrations between Salesforce and billing, ERP or provisioning systems, and comfort reading API payloads and integration logs
Basic SQL and comfort using a data warehouse to check launch data
Salesforce Administrator certification. CPQ Specialist, Advanced Administrator or Business Analyst certification is a plus
Hands-on use of AI tools (Claude or similar) in how you design, build or document systems, and the ability to explain how you check their output
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:
$270,000
—
$315,000 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.
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: Oakland, California, United States
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 is building data pipelines to power the modern data stack for thousands of companies. We're looking for a
Senior Staff Software Engineer
to join our Systems Engineering team and lead the engineering behind our internal AI-powered application ecosystem.
This is a high-leverage, high-visibility role with three interlocking mandates. First, you will own the development and governance of a code library and set of agent rules that will serve as the architectural foundation for multiple internal AI-enabled webapps at Fivetran. Second, you will work with stakeholders to develop, productionalize, and enhance custom apps built on this foundation. Third, you will act as a trusted advisor to engineering leadership, shaping policy and governance for how non-engineers should use AI to safely develop, productionalize, and deploy apps.
This position sits at the crossroads of software engineering, platform architecture, and AI-assisted development. You will partner closely with business stakeholders and engineering platform teams across the company, translating a fast-moving, experimental "everyone builds" culture into production software held to a high standard of security, reliability, and maintainability.
This is a full-time position based out of our Oakland, CA office.
Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Python, TypeScript/React
Kubernetes, GCP Cloud SQL (PostgreSQL)
BigQuery data sources, Claude API, Agent SDK
GTM systems - Salesforce, Outreach, Gong, and Zendesk
What You’ll Do
Independently design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
10+ years of experience in the software industry with a passion for solving complex software engineering problems - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices
Experience working with distributed systems and cloud security concepts
Demonstrated ability to write well-structured and performant code
Ability to independently lead software and infrastructure design to satisfy project requirements
Can identify design flaws in existing systems and come up with improvements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like BuildKite
Knowledge of observability tools like New Relic/Grafana is a plus
Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals
Bonus Skills
Experience in data processing (ETL, ELT) and/or cloud-based platforms
#LI-HYBRID #LI-VA1
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
$232,338
—
$290,422 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,
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.
Location: Remote - Singapore
Workplace: Remote
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
As a Premium Support Engineer at Replit, you’ll be the front line for our highest-value customers — delivering fast, expert, and reliable technical support when it matters most. You’ll handle complex product issues, guide customers through critical incidents, and ensure every interaction meets the highest standard of quality and speed.
Replit is at the forefront of AI-driven software development, and how we support customers is constantly evolving. You’ll play a critical role in shaping how Premium Support adapts to new products, new customer expectations, and AI-assisted workflows, operating effectively in ambiguity and driving clarity for your team.
You’ll combine deep technical troubleshooting with calm, confident communication to keep builders moving — whether it’s an enterprise team deploying at scale or a top-tier developer relying on Replit to power their business.
IN THIS ROLE YOU WILL:
- Provide swift, high-priority support to Premium customers, responding within strict SLAs.
- Diagnose, reproduce, and resolve complex technical issues across the Replit platform.
- Escalate and track high-impact issues with Product and Engineering, ensuring timely fixes and transparent communication.
- Lead customer-facing communications during outages or incidents.
- Identify recurring issues and collaborate internally to reduce time-to-resolution.
- Contribute to internal tooling, automation, and documentation that improves team efficiency.
- Partner with Engineering, Product, Sales and other internal teams to ensure Premium customers receive a consistent, high-quality experience.
- Help onboard and mentor other support engineers, raising the team’s overall bar for responsiveness and quality.
REQUIRED SKILLS AND EXPERIENCE:
- 3+ years in technical support, developer support, or systems engineering.
- Experience providing rapid-response support to high-value or enterprise customers.
- Strong debugging skills with JavaScript, Python, or similar languages.
- Excellent written and verbal communication under time pressure — able to convey technical concepts clearly and calmly.
- Familiarity with support tools like Zendesk, Linear, Slack, and internal debugging utilities.
- Proven ability to manage multiple high-priority issues simultaneously while maintaining accuracy and composure.
- A proactive, ownership-driven mindset and genuine empathy for customers building on Replit.
NICE TO HAVE:
- Has used Replit in the last 3 to 6 months.
- Experience working with IDEs, terminals, or other common developer tools.
- Experience with AI tools (Claude, ChatGPT, etc.)
WHAT WE VALUE:
- Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
- Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
- Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
- Continuous learning: Passion for staying current with industry best practices and new technologies
- Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
Note: This role will begin as remote, with plans to transition to a hybrid model once we establish a local office presence.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Valencia
Workplace: OnSite
Role highlights:
Title: Software AIT Engineer
Department: Global Manufacturing Organisation
Reports to: Head of MAITE Spain
Location: Valencia, Spain
Type of Contract: Permanent
Working model: On-site
Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Software AIT Engineer, you play a vital role in bridging software development and hardware integration at ICEYE. You will lead satellite-level verification and validation campaigns, integrate flight software with satellite subsystems, and develop automated test frameworks to ensure functional readiness. You will act as the primary technical contact for software-related integration issues and drive continuous improvement across AIT methods, test efficiency, and build reliability -- ensuring every spacecraft meets ICEYE's standards for mission success.
Who We Are
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
Your day-to-day responsibilities
- Execute satellite-level verification and validation (V&V) campaigns, focusing on functional software operations and system health
- Lead the integration of flight software with satellite subsystems (avionics, power, RF, thermal), ensuring seamless interoperability
- Develop and maintain automated test scripts and frameworks to enhance efficiency, repeatability, and coverage across functional and environmental test campaigns
- Act as primary technical contact for software-related integration issues, performing root cause analysis and coordinating with software engineering to resolve anomalies
- Support production readiness and design reviews (PRR, CDR) by providing feedback on software testability, hardware-in-the-loop requirements, and system configuration
- Contribute to and improve AIT documentation including software test procedures, integration plans, and configuration records
- Interface with Global AIT, Software Engineering, and Mission Operations teams to ensure alignment on product standards and lessons learned
- Drive continuous improvement initiatives in integration methods, test efficiency, and build reliability
What we’re looking for
Must haves:
- 5+ years of hands-on experience in integration, testing, or production of complex systems -- preferably in aerospace or high-reliability hardware industries
- Strong proficiency in Python scripting and automation for test development and data analysis
- Proven experience in multidisciplinary engineering environments with a focus on system-level validation
- Deep technical understanding of satellite architectures including command and data handling (C&DH), avionics, or communication subsystems
- Familiarity with hardware-in-the-loop (HIL) testing, environmental testing (EMC, vibration, thermal), and configuration management
- Systems engineering mindset -- able to anticipate integration risks and connect software logic, hardware interfaces, and mission operations
- Proficient English (written and spoken) for cross-functional collaboration
Nice to haves:
- Experience with Atlassian Cloud tools (Jira, Confluence)
- Track record of enabling design-for-testability (DFT) and design-for-manufacturing (DFM)
- Lean and Six Sigma experience
- Experience writing or improving Python test scripts beyond routine execution
Application Process
- Talent Acquisition Interview
- Hiring Manager General Interview
- Technical Interview, including a Technical Challenge
- Final Interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
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Remote-Friendly, United States; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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УдалённоseniorAlmaty, Kazakhstan; Tbilisi, Georgia; Yerevan, Armenia; Belgrade, Serbia; Minsk, Belarus; Tashkent, Uzbekistan; Fully remote, any time zone with reasonable overlap with EU/CIS hours
