Location: Tel Aviv, Israel
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a
Senior Data Engineer who in addition to building and owning data pipelines will also drive the design and technical leadership within the data engineering team.
This is a hands-on data engineering role, focused on designing, implementing, and maintaining reliable data flows for analytics and machine learning. Infrastructure, cloud, and Kubernetes are used only as tools to run pipelines reliably and cost-efficiently — this is not an SRE or platform engineering role.
You’re welcome to work in our offices in Tel Aviv, Israel.
Your responsibilities will include:
Core Responsibilities (Primary Focus)
Design, build, and own production-grade data pipelines using Python and SQL.
Develop stateless, idempotent pipelines that are resilient to retries, failures, and infrastructure interruptions.
Implement data transformations, validation, and data quality checks.
Optimize pipelines for performance, reliability, and cost efficiency.
Collaborate closely with Analytics, Data Science, and ML teams to deliver trusted datasets.
Supporting Infrastructure (Secondary Focus)
Orchestrate pipelines using a workflow orchestration framework (e.g., Airflow or equivalent).
Package and run data workloads using Docker and deploy them on Kubernetes.
Use autoscaling and Spot / Preemptible compute for efficient pipeline execution.
Build CI/CD automation for data pipelines.
Use Infrastructure as Code only to provision and manage the infrastructure required to run pipelines.
We expect you to have:
8+ years of experience as a Data Engineer, primarily focused on building data pipelines.
6+ years of hands-on experience with Python and SQL.
3+ years of experience running workloads on Kubernetes.
Strong understanding of stateless system design and idempotent data processing.
Experience building and operating data pipelines in cloud environments.
Experience with workflow orchestration frameworks.
Strong Linux fundamentals and production debugging skills.
Working knowledge of spoken and written English
It will be an added bonus if you have:
Experience contributing to or working extensively with open-source software.
Experience building data pipelines using Apache Spark or similar distributed processing frameworks.
Experience building data pipelines that support machine learning workflows.
Familiarity with cost-optimized data processing (e.g., Spot / Preemptible compute).
Experience with relational and non-relational data stores.
Experience working with large-scale or high-reliability data systems.
Experience collaborating with strong Data Science and ML teams.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: 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 role
Anthropic’s Safeguards Enforcement team detects and mitigates misuse of Claude, and much of that work depends on people: a growing human review workforce made up of full-time staff, contractors, vendors and BPO partners. As that workforce scales across a widening range of harm areas, the programs that bring people in, give them the right access, and roll them off cleanly have to keep pace.
As Program Manager for Safeguards Workforce Operations, you’ll own those programs end to end. You’ll run onboarding, offboarding, device provisioning and access provisioning for every worker type we use, working hands-on with the requests themselves while you build the processes that make them repeatable. You’ll partner with Enforcement leads to turn shifting priorities into capacity plans, and carry those plans through with our vendor partners. Because this role supports every Safeguards Enforcement program, you’ll also connect the dots across Anthropic, working with IT, People Operations, Security, Contingent Workforce, Human Data Operations and other teams running scaled human review to streamline practices and keep standards consistent.
This is a role for someone who likes fixing broken things at speed. The landscape moves quickly, priorities change often, and the work is an even mix of direct execution and program building.
Key responsibilities
Own the workforce lifecycle for contractor, vendor and BPO reviewers: onboarding, offboarding, device provisioning and access provisioning
Triage and execute inbound requests for new or changing vendor, BPO and contractor capacity
Turn ad hoc or broken processes into scalable ones, with clear owners, service levels and a system of record
Partner with IT and Security on access governance: least-privilege provisioning, timely revocation and regular access reviews
Build and maintain capacity plans with Enforcement leads, translating review demand into workforce needs and adjusting as priorities shift
Work with Safeguards vendor management to hold partners accountable to capacity and onboarding commitments
Align practices with Human Data Operations and other teams running scaled human review, and help them streamline their own workflows
Help define the long-term workforce strategy for Safeguards Enforcement
Minimum qualifications
Have personally run onboarding, offboarding, access and device provisioning for contractor, vendor or BPO workforces — doing the work, not only overseeing it
Have operated scaled human review programs with vendors or BPOs, such as trust & safety, content moderation or data annotation operations
Have taken a broken or ad hoc process, made it scalable, and brought other teams along in adopting it
Understand the fundamentals of capacity planning: how volume, handle time, quality targets, ramp and attrition turn into workforce needs
Exercise sound judgment on access and permissions, and know when to bring in IT or Security
Move quickly and stay effective when priorities change and information is incomplete
Build alignment through direct partnership with the teams you depend on
Preferred qualifications
Owned a vendor or BPO relationship directly, including service levels and business reviews
Built formal capacity models for review or operations workforces
Supported workforces across more than one enforcement or harm area
Hands-on experience with device management and identity and access tooling
Worked through a period of hypergrowth where programs had to mature alongside the organization
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
Join Anthropic's Commercial Legal team as a Technical AI implementation specialist, where you'll be responsible for leveraging Claude and other technologies to scale and increase efficiency of legal operations. You'll drive AI adoption across team workflows, optimize internal tooling, and lead cross-functional initiatives to enhance productivity. This role offers the unique opportunity to shape the future of legal operations through technology while working with Claude and other business critical systems.
Key responsibilities
Implement AI-powered solutions to streamline contract review and redlining processes
Manage integrations between existing legal systems and AI tools
Develop automated self-service solutions for high-volume, low-touch contracting processes, including FAQ chatbots and guided workflows
Create AI-based tools for handling commercial contract diligence requests
Optimize contract management platforms with AI capabilities
Create and manage comprehensive program plans, including timelines, budgets, and resource allocation, to guide project execution
Build and maintain metrics dashboards to track efficiency improvements
Establish practical governance processes for AI use in legal operations
Coordinate with Engineering and Product teams on solution development
Identify and mitigate potential risks and issues that could affect program success, ensuring proactive problem-solving
Minimum qualifications
Experience evaluating and implementing legal technology platforms such as contract management systems, workflow management systems, or document management tools
Show genuine curiosity about AI/ML applications and hands-on experience with LLM tools (especially Claude!)
Possess excellent problem-solving skills and can translate legal business needs into scalable technical solutions
Excel at cross-functional collaboration and can communicate effectively with both technical and legal stakeholders
Self-directed and can manage multiple technical projects simultaneously
Preferred qualifications
At least 5 years of relevant experience in legal operations, legal technology, or technical roles supporting legal teams
Technical aptitude with system integration knowledge
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excellent verbal and written communication, analytical, collaboration, and interpersonal skills
Proven project management skills, including the ability to prioritize tasks, meet deadlines, manage multiple projects simultaneously, and deliver quality results
Collaborative team player mindset with genuine interest in technology development and AI, thriving in fast-paced environments
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
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:
$170,000
—
$220,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
About KIRA
Our mission is to make money smart, reliable and within reach for everyone. In 2019, we built the first mobile-first insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia. We are expanding ways to help people in Asia including spending, saving, investing, exchanging, travelling, and more. Our objective is to build tools that help people get more from their money, become experts with ease and self-reliance. We believe AI will help us achieve this in our generation.
The Role
KIRA is building an AI Stockbroking Superapp for Southeast Asia across payments, remittance, insurance, wealth, and trading. These products move real money. Reliability, regulatory requirements, and third-party financial rails are fundamental to the product.
The Technical Product Manager owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery, and launch. We are AI-native by default, but AI is a means, not the goal. The bar is knowing where AI genuinely improves an outcome, where deterministic systems must remain in control, and how to build products that are reliable, auditable, and trusted.
What You'll Own:
— Owning a product vertical end-to-end, including strategy, metrics, roadmap, priorities and delivery.
— Shaping technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security and scalability.
— Driving trade-offs across correctness, speed, cost, reliability, regulatory requirements and user experience.
— Building regulatory requirements into the product across KYC, transaction monitoring, limits, privacy and licensing.
— Applying AI where it improves outcomes, with clear evaluation, safeguards, human oversight and failure handling.
— Shipping products around external dependencies, including regulatory approvals, financial rails and third-party partners.
— Aligning Engineering, Design, Compliance, Operations, Treasury and Finance around clear product decisions and launch requirements.
What We're Looking For:
— 5+ years of product management experience, including ownership of complex technical products from strategy through production.
— Strong technical foundation across system architecture, APIs, databases, workflows, failure modes and distributed systems.
— Experience working closely with engineers and ability to review, challenge and contribute to technical designs.
— Experience in payments, banking, remittance, insurance, trading or another regulated, high-consequence product domain.
— Strong product judgment and ability to make difficult trade-offs under technical, regulatory and operational constraints.
— Experience building with LLMs or AI products, including evaluation, reliability and understanding when AI should not be used.
Nice to have:
— Engineering or highly technical product background.
— Experience building zero-to-one fintech or consumer products.
— Experience defining evaluation frameworks for ML or LLM-powered products.
Outcome:
— Clear vertical strategy and legible roadmap.
— Ships fast and clears the gates that actually block launch.
— Money is correct and users are never misled about the state of their funds.
— AI features are valuable, predictable and trusted.
— Trade-offs made deliberately under uncertainty and hold up when challenged.
— Engineering, design, compliance, and operations are aligned with minimal friction.
Location:
This is a remote role. We hire globally and work across multiple countries and time zones. Candidates should be comfortable working effectively in a distributed, fast-moving international team and collaborating with colleagues across different locations.
Language:
English is our main working language across global teams. Strong English communication is required.
Interview Process:
Our process is designed to move fast:
— Online assessment or practical task
— Technical interview
— CEO / final round
For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.
About ActAI
There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our application focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations.
Our objective is to organise anyone's life.
Role
As a Web Frontend Engineer, you will build the core web experiences, including Chat, Notes, Calendar, Docs and Sheets.
You will own complex, highly interactive product surfaces from architecture through implementation, working closely with product, design, backend and AI engineers to make AI a native part of how users communicate, write, organise and work.
What You'll Own
Build major web experiences across Chat, Notes, Calendar, Docs, and Sheets.
Develop complex interactions including real-time messaging, collaborative editing, rich-text editing, scheduling, tables, and spreadsheets.
Build reusable frontend architecture and components that work consistently across ActAI applications.
Integrate streaming AI responses, proactive actions, and model-driven experiences directly into product workflows.
Own frontend performance, responsiveness, reliability and accessibility across browsers and devices.
Work closely with product and design to take ideas from prototype to production quickly.
What We're Looking For
Strong experience building complex, production web applications using React, TypeScript and modern frontend technologies.
Deep understanding of frontend architecture, state management, browser APIs, and performance.
Experience building highly interactive products such as chat, collaboration, productivity, document editing, calendars, or workspaces.
Experience with real-time systems, WebSockets, streaming APIs, or collaborative interfaces.
Strong product and UI judgment with attention to interaction details.
Able to independently own features from technical design through production.
Outcomes
Users can communicate, write, organise and collaborate seamlessly across Chat, Notes, Calendar, Docs and Sheets.
Complex interactions such as group messaging, editing, scheduling and collaboration feel fast and reliable.
AI capabilities are integrated naturally into product workflows rather than added as separate chatbot experiences.
Frontend architecture remains fast, maintainable and reusable as ActAI expands into new applications and workflows.
Tech Stack
TypeScript
React.js / Next.js
HTML / CSS
WebSockets / streaming APIs
Node.js
REST / GraphQL APIs
How We Work
The best products today in the world were built by small, world-class teams. We are a high talent density and hands-on team. We make decisions collectively and move at rapid speed, striking a balance between shipping high-quality work and learning.
Joining our team requires the ability to bring structure, exercise judgment and execute independently. Our goal is to put in the hands of our users a truly magical product.
Interview Process
If there appears to be a fit, we'll reach out to schedule 3, but no more than 4 interviews.
Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.
We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us and help bring practical AI benefits to billions of users globally.
Location: Metn, Lebanon
The Company
Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.
At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.
Role
We are looking for a Senior Data Analyst to own end-to-end analytics for our core engines. In this role, you won't just build dashboards, you will partner directly with Business Leaders to define roadmaps, business cases, and design synthetic experiments. You will turn ambiguous data into an actionable strategy that directly impacts customer conversion, driver efficiency, and growth.
What You’ll Do
Product Partnership & Strategy:
Collaborate with Product Managers, Strategy Directors and Business leaders to translate complex business problems into data-driven product features and strategic roadmaps.
Experimentation & A/B Testing:
Design, implement, and analyze rigorous A/B and multivariate tests to evaluate feature launches, pricing mechanics, and UX changes across our apps.
Funnel & Marketplace Optimization:
Deep-dive into consumer retention, funnel conversion, courier dispatch dynamics, and merchant metrics to unlock business growth and improve unit economics.
Metric Standardization:
Define core product KPIs and maintain a single source of truth by building robust data models (data warehouse) and production-grade dashboards (Tableau).
Data Quality & Infrastructure:
Enforce strict data validation standards, maintain data governance across clickstream/event tracking, and ensure downstream reporting reliability.
Technical Leadership:
Mentor junior analysts, lead code reviews for analytical SQL scripts, and elevate overall analytics best practices across the team.
What We’re Looking For
Experience:
4+ years of data analytics experience, ideally in a product-led tech company, hyper-growth startup, or multi-sided marketplace (e.g., delivery, ride-hailing, e-commerce).
Advanced SQL Mastery:
Recognized expert in writing clean, modular, scalable SQL code optimized for complex datasets.
Statistical Rigor & Python/R:
Strong understanding of hypothesis testing, causal inference, and statistical modeling using Python or R.
BI & Data Modeling:
Hands-on experience building centralized dashboards in Tableau and working with modern data stack tools (dbt, Snowflake, BigQuery, Databricks).
Product Intuition:
Demonstrated track record of leveraging user behavior analytics (event tracking, cohort analysis, funnel drop-off) to directly influence product decisions.
Education:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or an equivalent quantitative field.
Nice to Have
Experience working with clickstream tools (Mixpanel, Amplitude, Segment).
Hands-on knowledge of data engineering tools or orchestration frameworks (Airflow, dbt).
Experience in experimentation tools (Statsig)
Location: Mumbai, India
We Are?
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we've been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions.
Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves all designed to help our clients optimize performance, enhance reliability, and improve efficiency.
With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
The Role
The RTR Finance accountant role is responsible for transactional and operational delivery within the Record to Report (RTR) function of the Shared Services Centre (SSC). This role ensures the accurate and timely processing of financial transactions and reporting, execution of month-end and year-end close activities, and provides essential assistance to the RTR Team Lead and Process Tower Lead to maintain high standards of service delivery across multiple geographies.
Key Responsibilities
Transaction Processing
Accurately process journal entries as per the month end close calendar or ad-hoc as requested by Geography finance team (e.g. adjustments, re-allocations, corrections)
Prepare supporting documents, refresh reports necessary for calculation of journal values. Raise queries and gather information required for journals calculation and preparation
Prepare journal templates, check dimensions, GL codes, date, entity, upload and post transactions in ERP. Submit journals for approval in accordance with Level of authority and policies in place
Support the planning and allocation of tasks of routine and ad hoc transactions in the ticketing system. Use the ticketing system for execution and monitoring of tasks
Prepare and maintain balance sheet reconciliations, ensuring all items are supported and unreconciled items are investigated, escalated and action plan defined
Month-End and Year-End Close
Provide operational support for month-end and year-end close activities, including data gathering, transaction processing, and report generation
The Requirements
Key Skills & Experience
Experience in shared services, in a Record to Report accounting role
A minimum of 10 years experience in an Accounting roles
Working knowledge of ERP systems (Navision), proficiency in Microsoft Excel, preferable reporting Power BI experience
Strong attention to detail and commitment to accuracy and delivery on time as per the SLAs
Good organisational and time management skills, with the ability to meet deadlines
Effective communication skills and a collaborative approach to teamwork
Willingness to work various shift patterns aligned to supported geographies (e.g., Europe/UK, Australia, Americas, UAE, India) as required by the SSC operating model.
Diversity & Inclusion
EnerMech is dedicated to fostering a diverse and inclusive organisation. We believe that diversity enriches our team, and we welcome applications from candidates of all backgrounds, cultures, and identities. You will have good organisational and time management skills with the ability to meet deadlines, along with effective communication skills.
Location: Cyprus; Poland; Georgia; Bulgaria; Armenia; Belarus
We are an international broker. Our clients fund and withdraw through roughly 60 payment methods across Asia, Africa, LATAM and the Middle East.
Payments is now a standalone function, and we are building the team around it.
We are looking for a Senior Backend Engineer who will own our connector layer and everything downstream of it: building a canonical adapter layer so that providers plug in rather than get built one by one, moving payment methods to server-to-server and embedded flows, and making transaction status reliable and observable across the estate.
You will also be the payments function's technical counterpart to the orchestration platform team: the behaviour we need from the platform is specified here, argued here and reviewed here.
Your responsibilities will be:
Building and owning the connector and adapter layer, so that adding or replacing a provider becomes configuration and a thin adapter rather than a new integration each time
Migrating payment methods from redirect flows to server-to-server and embedded flows where the provider supports it, and measuring the result
Owning everything downstream of the orchestration layer: reconciliation, transaction status handling on our side, method configuration and payment flows into the client portal
Making transaction status reliable end to end, through active status polling, idempotent processing and reconciliation
Building observability over transaction status and provider performance across the estate
Specifying the behaviour we need from the orchestration platform: transaction state machine, idempotency, polling, routing and cascading rules. You design it, argue for it and review what comes back
Supporting integration work for our card programme
Extending the same integration set to acquired entities as configuration rather than a new build each time
Requirements
5+ years in backend engineering, strong in TypeScript, Node.js, comfortable in relational databases
Production experience with payment systems: authorisation, callbacks, refunds, reconciliation and retry behaviour
Practical understanding of idempotency, asynchronous status handling, transaction state machines and designing for partial failure. This is the core of the role rather than a detail, and you will both build against it and specify it
Experience integrating third-party APIs of uneven quality, including working directly with a provider's integration team to resolve what the documentation does not answer
The ability to own a service rather than close tickets: architecture decisions, standards and root cause fixes
English and Russian at a working communicative level
Will be a significant plus:
Exposure to .NET for work touching the client portal
Experience with APM and local rails in Asia, Africa or LATAM rather than cards alone
Experience with bank transfer rails, virtual accounts, QR-based methods, mobile money etc.
Event-driven patterns in production: transactional outbox, idempotent consumers, sagas
Background in brokerage, crypto payments, orchestration or another high-volume payments environment; on the provider side, at a PSP, gateway or payment company
Active use of AI tooling in daily work
Ability to work independently and make decisions without constant oversight
Proactive mindset: willingness to propose improvements, fixes, new approaches
What the first year looks like.
In the first months you take over the integration codebase with a documented handover, strengthen transaction status handling, and ship your first server-to-server integration.
By mid-year the adapter layer is in place, new providers go live against it rather than as one-off builds, and transaction status and provider performance are observable across the estate.
In the second half the migration to server-to-server and embedded flows runs as a programme across methods, and the same integration set starts extending to our other entities. As the team grows, a Systems Analyst takes over instrumentation and verification while integration engineering stays with you.
Recruitment process:
HR interview, covering background, motivation and fit
Technical interview on backend engineering and the payments domain
Home task as a case from the real needs
System design and problem-solving interview, covering integration design, failure handling and status modelling
Final interview with senior stakeholder.
Benefits
Fixed monthly compensation of [based on experience]
Fully remote work within GMT to GMT+4, with no relocation required
Ownership of the connector layer and everything downstream, with direct influence on what the orchestration platform becomes
Engineering problems that are not CRUD: asynchronous status across dozens of providers, partial failure, and local payment rails in emerging markets
Scope that grows with the business: a card programme, new entities and new payment products
Corporate AI tooling as part of the working process
Location: Chiang Mai, Thailand
Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
Flexibility
- each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
Frequent opportunities
- perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
Choose your assignments - align your missions with your personal preferences and profile.
Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
Observe carefully - check the ambiance, service quality, and overall customer experience.
Provide honest feedback - use our platform to share your observations through questionnaires.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform,
CXG Live
. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Benefits
This is a
freelance
, project-based position
Flexible working hours
Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity.
Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
Location: Songkhla, Thailand
Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles.
About the Role:
As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury.
Flexibility
- each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments.
Frequent opportunities
- perform several missions per month and collaborate with some of the most prestigious brands worldwide.
What you will be doing:
Choose your assignments - align your missions with your personal preferences and profile.
Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home.
Observe carefully - check the ambiance, service quality, and overall customer experience.
Provide honest feedback - use our platform to share your observations through questionnaires.
About CXG
At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants.
Join us and enjoy the flexibility of working on the go with our mobile platform,
CXG Live
. On this platform, you can seamlessly manage missions, certifications, and feedback.
Requirements
Current customer of premium and luxury brands.
Not currently under contract with any retail brands, to ensure impartiality.
Punctual, organized, detail-oriented, and reliable.
Observant and passionate about customer experience.
No prior experience is required; we value honest feedback from genuine customers.
Benefits
This is a
freelance
, project-based position
Flexible working hours
Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity.
Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.
Требования:
— Экспертный опыт администрирования Linux
— Опыт сопровождения высоконагруженных distributed systems
— Глубокое понимание S3/Object Storage и distributed storage architecture
— Опыт сопровождения Kubernetes-платформ
— Практический опыт эксплуатации компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg
— Опыт эксплуатации MinIO / Object Storage решений
— Понимание replication, erasure coding, consistency, fault tolerance
— Практический опыт troubleshooting: CPU, RAM, network, disk I/O, latency, throughput
— Опыт работы с observability stack: Prometheus, Grafana, alerting, log analysis
— Опыт автоматизации: Ansible, Terraform, Bash, Python
— Понимание incident/problem management и SRE-практик
— Навыки RCA, postmortem analysis и повышения reliability платформ
Задачи:
— Сопровождение и эксплуатация Data Lake платформ
— Поддержка S3/Object Storage инфраструктуры
— Мониторинг, диагностика и устранение инцидентов
— Troubleshooting производительности платформы и storage систем
— Сопровождение Kubernetes и компонентов Data Lake: Apache Spark, Airflow, Flink, Kafka, Apache Iceberg
— Проведение RCA и postmortem analysis
— Автоматизация эксплуатационных задач
— Взаимодействие с командами Data Engineering и инфраструктуры
— Сопровождение Big Data Platform
Условия:
— удаленный формат работы
— Белая заработная плата, оформление согласно Трудовому кодексу РФ
— Комфортный старт: 3 месяца плавного погружения под присмотром HR
— Поддержка: IT-отсрочку и консультации HR/юристов
— Прозрачные процессы и открытую коммуникацию
— Работу на лучшем оборудовании без логирования времени, с фокусом на доверии и результате
— ДМС: медицинское страхование за счет компании
— Развитие: индивидуальный план обучения, посещение конференций и митапов, поддержка в развитии карьеры
— Личный бренд: возможность выступать на конференциях, митапах, публикация статей
— Бенефиты: ежеквартальное обновление корпоративных скидок
— Движ: организация вечеринок оффлайн и онлайн, предоставление мерча, проведение конкурсов и челленджей
Location: Remote-Friendly, United States
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 Capacity Deployment Lead within Anthropic's Data Center Operations (DCO) organization, you will support and scale how we bring new compute capacity online across a growing fleet of partner-operated data centers. Deployment runs from construction kickoff to ready for service (RFS). You are engaged during planning and construction, and on-site and hands-on from EFA through infrastructure delivery and receiving, integration QA, power-on and network turn-up, burn-in and validation, and acceptance. You work with hardware vendors and operations partners for completion of each CU (capacity unit) with a structured handover into production operations and the maintenance program. The scope is compute: accelerator systems, racks, and the infrastructure around them - at the sites in service today and the ones coming online behind them.
This is a program and execution role. You will work with the Global Capacity Delivery Program Lead and the broader Data Center Operations organization, to extend its coverage across more sites and platforms as the fleet grows. Expect 50%+ travel: you get eyes on via boots-on-the-ground for each site in preparation for and during delivery, deployment, QA, and close-out, and your authority comes from being there. Working with vendors and partners, you set direction, priorities, and standards for execution, and you prove results with Anthropic-owned data rather than self-reported status. What you learn at one site - what worked, what slipped, what should become standard - becomes the playbook for the next wave. If you have delivered data center hardware at scale, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply.
Responsibilities Include:
Own deployment outcomes for your assigned sites and data-hall waves: CUs and hall ready-for-service dates met, with exceptions closed out, or risk called early enough for leadership to act.
Engage from construction kickoff and confirm deployment readiness ahead of each wave - floor access, power, network, receiving paths, and partner staffing - working the gaps with the site operations partner and facilities counterparts before racks arrive.
Be on site at key points before and during delivery, deployment, QA, and close-out; verify the work with your own eyes rather than from a dashboard, and support the on-site teams with your direct expertise.
Work with partner's site leadership to ensure success through rack delivery and receiving, integration QA, power-on and network turn-up, and burn-in and validation, setting daily priorities and quality gates and confirming results against Anthropic-owned ticket and telemetry data.
Validate the handover gate for each CU and data hall: acceptance criteria met, burn-in complete, documentation delivered, spares positioned, ticketing live, and a structured handover into production operations and the maintenance program.
Turn best practices, optimization, and lessons learned from each deployment into program-wide improvements: procedures, checklists, acceptance standards, and metrics, so the next wave runs faster and cleaner than the last.
Extend the deployment program to new sites and platforms, adapting standards and acceptance criteria as the hardware changes.
Communicate deployment status, dependencies, constraints, and risk to engineering, capacity planning, the team that owns the overall site schedule, and leadership.
You may be a good fit if you:
Have 8+ years of experience in data center operations or hardware deployment as a manager, technical lead or related role, including accountability for delivery milestones.
Can demonstrate a proven track record leading compute or network hardware deployments at a large scale across multiple sites or data-hall waves, from early floor access through ready for service.
Have managed vendors, OEMs, or contract workforces to measurable outcomes: milestones, quality gates, operational reviews, and corrective action.
Possess hands-on technical depth in server, network, and rack-level hardware, enough to independently verify deployment quality and audit vendor claims.
Have built or substantially improved operational processes.
Are comfortable working with schedule, ticket, and telemetry data to drive decisions.
Can travel heavily and work on site for extended stretches, including during delivery surges and turn-up windows. 50% Travel expected.
Possess a bachelor's degree in relevant domain or equivalent practical experience.
It’s a bonus if you have:
Experience with GPU/accelerator or high-density liquid-cooled infrastructure, including bring-up of liquid-cooled racks.
Experience standing up operations at a new site or data hall, from commissioning handoff through first deployment.
Experience deploying more than one accelerator platform, or introducing a new hardware platform into an existing deployment program.
Experience delivering deployment outcomes inside partner-operated or colocation sites where on-the-floor operations are staffed via third parties.
Familiarity with dense accelerator network cabling, optics, and high-speed interconnect at rack and pod scale.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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 Sales Enablement Trainer, Claude Products, you'll teach Anthropic's global sales team how to use our products, both to do their own work better and to position Claude credibly with customers. Anthropic ships quickly, and the surface area of what we build is growing faster than any individual seller can track. The job has two components. The first is enabling our own people to be power users of Claude so the field is the most sophisticated user of the product we sell. The second is enabling them to position it: to run a credible technical conversation with a customer, anticipate the hard questions, and hold their own with a technical buyer.
In this role, you’ll help define what an AI-native sales team looks like. The best person in this role already uses Claude to help them excel in a sales or sales enablement role. You'll be embedded enough with Product and Applied AI to see around the corner and be opinionated enough to say which surfaces to invest enablement resources behind. You'll need enough technical credibility to earn the respect of engineers and enough commercial fluency to earn the respect of sellers.
Key responsibilities
Own product enablement for the global field organization, spanning new launches, existing capabilities, and the product roadmap ahead
Build the programs that make Anthropic sellers genuinely expert users of Claude in their own daily work
Create enablement that equips the field to position our products with technical and business buyers, including demo readiness, objection handling, and competitive framing
Partner closely with Product, Product Marketing, and Applied AI to get early visibility into what is shipping and to shape how it reaches the field
Anticipate which new product surfaces will require enablement investment, and make the case for that investment before launch
Build and maintain the product certification path that credentials sellers on our core products
Create high-quality enablement content including demo scripts, technical talk tracks, solution guides, and competitive positioning material
Establish feedback loops that carry field and customer signal about product gaps back to Product and Product Marketing
Minimum qualifications
Experience in a sales or sales enablement role
Experience building AI automations into sales workflows and tooling
Hands-on, regular use of AI assistants and agentic tools (e.g., Claude, Claude Code) in your own real-world workflows
Working technical knowledge of how LLM products work (e.g., prompting, context, tool use, APIs), enough to demo them live and field technical questions from engineering buyers
Experience writing and presenting technical material for audiences with very different levels of technical depth
Preferred qualifications
Experience bridging sales and technical audiences in a role such as solutions engineering, sales engineering, technical enablement, product marketing, or technical account management
Hands-on experience building with LLM APIs, agentic frameworks, or developer tooling
Experience turning complex, fast-moving technical products into enablement content such as demo scripts, technical talk tracks, solution guides, or training curricula
Experience owning launch readiness for a technical product across a global field organization
Experience partnering with Product or Product Marketing to prepare a field team ahead of launch, not after it
Experience building programs from 0 to 1 in fast-paced, ambiguous environments
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:
$190,000
—
$270,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion’s Tax team is growing, and we’re looking for a Senior Tax Accountant to support our global tax operations. In this role, you’ll run global indirect tax operations and strengthen the systems behind them. As Notion scales across products and jurisdictions, this role exists to make compliance, close, audits, and tax data more accurate, scalable, and audit-ready. You’ll own recurring sales and use tax, VAT/GST, business tax, registrations, notices, reconciliations, and related controls, while building exposure to income tax compliance and reporting. The work is hands-on and cross-functional: you’ll trace differences across billing, tax engines, filings, payments, and the general ledger with Accounting, Revenue, Billing, Product, Engineering, Data, and Customer Experience partners.
This role may be based in either our San Francisco or New York offices. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Take ownership of recurring U.S. and global indirect-tax filings, calendars, data packages, notices, registrations, and close support—with accurate, review-ready work.
- Establish a reliable reconciliation and exception workflow across billing, tax engines, filings, payments, and the general ledger, escalating issues clearly and early.
- Use AI-enabled workflows and data tools to investigate variances, quality-check work papers, and improve documentation while preserving human review and controls.
- Make tax operations more scalable and audit-ready by strengthening controls, process documentation, evidence, handoffs, audit support, and SOX walkthrough readiness.
- Become a trusted partner to Accounting, Revenue, Billing, Product, Engineering, Data, and Customer Experience—and contribute to income tax compliance and reporting with guidance from experienced teammates.
SKILLS YOU'LL NEED TO BRING:
- Bachelor’s degree in Accounting, Finance, Economics, a related field, or equivalent practical experience.
- At least 3 years of public accounting and/or industry tax experience, with a primary focus on indirect tax compliance and operations.
- Hands-on experience with indirect tax compliance or operations, especially U.S. sales and use tax, VAT/GST, business taxes, or other non-income-based taxes; this is the foundation for owning Notion’s recurring global work.
- Experience preparing accurate reconciliations, journal entries, filings, payments, and audit-ready work papers, with the ability to connect activity across source systems and the general ledger.
- Strong operational judgment: you manage recurring deadlines, investigate exceptions, keep documentation organized, escalate issues promptly, and drive assigned work through completion.
- Clear written and verbal communication, with a collaborative approach to working across Finance, Accounting, business teams, and external advisors.
- Curiosity and learning agility, including willingness to build income-tax capability and demonstrated AI fluency—using AI to analyze data, investigate variances, improve documentation, perform quality checks, or automate repeatable workflows while validating outputs and protecting sensitive information.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $135,000 - $155,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $125M in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
Role Overview
Backblaze is seeking a Director, Enterprise Systems & Architecture to own the technical vision, architecture, and operations of the company’s enterprise systems and emerging AI use cases. This is a senior leadership role with organization-wide scope — spanning commercial and financial systems, GTM technology, data architecture, and the deployment and governance of AI agents across the business.
This leader will serve as the company’s architectural authority for enterprise platforms including Salesforce, NetSuite, Zendesk, Snowflake, and their surrounding integration ecosystem. Equally important, they will support the governed infrastructure layer that enables AI agents, automated workflows, and headless capabilities to operate safely at a public company. They will partner closely with the CRO, CISO, and CFO organizations to enable velocity while ensuring systems are compliant, auditable, and built to scale.
The ideal candidate combines deep enterprise architecture expertise with hands-on platform engineering instincts and practical experience deploying AI agents in production environments. This is a build-and-operate role, not a purely advisory one. The Director will directly manage the Salesforce administration team and the NetSuite techno-functional team, and will grow a broader platform capability over time.
Key Responsibilities
Enterprise Architecture Strategy
Define and maintain the enterprise systems architecture roadmap across the commercial, financial, and GTM technology stack, including Salesforce, NetSuite, Zendesk, Snowflake, and related platforms.
Own and maintain formal architecture documentation including system topology maps, data flow diagrams, integration inventories, and architecture decision records (ADRs).
Establish and enforce architectural governance standards and review processes for all material system changes across the enterprise.
Define reference architectures and design patterns for integrations, data exchange, platform extensibility, and AI agent workloads.
Lead build vs. buy evaluations and establish platform selection criteria — including for AI tooling, agent orchestration frameworks, and LLMOps infrastructure — aligned with long-term architectural goals.
Ensure systems architecture supports scalability, data integrity, security, and operational efficiency in a public-company environment.
Systems Architecture & Integration Design
Serve as the lead architect for the design and implementation of integrations across Salesforce, NetSuite, Zendesk, Snowflake, Orb, and other enterprise platforms.
Establish and enforce design standards, data contracts, and integration governance across all enterprise systems.
Own the enterprise architecture review board, evaluating proposed system changes for scalability, compliance, security, and alignment with long-term design goals.
Define integration patterns (event-driven, API-first, middleware) and ensure consistent application across the technology ecosystem.
Partner with the Data Engineering team to ensure data pipelines, data models, and platform integrations reflect sound architectural principles and support reliable analytical and operational outcomes.
Lead evaluation and selection of new technologies, including iPaaS and middleware platforms, ensuring alignment with the broader architecture.
Architecture Governance & Advisory
Serve as the company's technical authority on enterprise systems design questions, providing architectural guidance to Revenue Operations, Finance, and Data Engineering leadership.
Lead architecture review sessions and provide formal design approval for major system initiatives and platform changes.
Produce and maintain architectural roadmaps, standards documentation, and technical decision frameworks that guide delivery teams and stakeholders.
Translate complex business requirements into scalable, future-proof architectural solutions, ensuring alignment between business priorities and technical design decisions.
Establish strong feedback loops with business teams to ensure the architecture evolves alongside organizational needs.
Mature the infrastructure that governs AI agent workflows — ensuring all agents and automated systems operate through governed identity, API gateway, secrets management, logging, and reconciliation layers.
Maintain and enforce change management standards for workflow deployments, prompt changes, and policy updates — including GitHub-backed version control and CI/CD deployment gates.
Ensure AI agent operations comply with SOX IT General Controls, data privacy requirements (GDPR/CCPA), and internal data governance standards.
Build and maintain observability infrastructure in partnership with the security team for agent operations, including real-time dashboards, alerting on anomalous behavior, and audit trail evidence for SOX and compliance purposes.
Team Leadership & Vendor Governance
Lead and develop a team of Business Systems administrators, contractors, providing mentorship and clear career development direction.
Establish best practices for systems lifecycle management, change management, and project delivery.
Manage vendor and contractor relationships, ensuring external resources operate within defined architectural standards and governance frameworks.
Champion a culture of technical rigor, documentation discipline, and continuous improvement across the team.
Qualifications
Required
10+ years of experience in Enterprise Architecture, Business Systems, or Platform Engineering roles, with demonstrated ownership of multi-system environments at a public or compliance-regulated company.
Proven experience deploying, monitoring, and governing AI agents or LLM-powered workflows in production, including prompt versioning, agent identity management, and audit logging.
Deep experience architecting and governing Salesforce CRM environments at scale, including data model design, integration patterns, and access controls.
Strong working knowledge of NetSuite and Snowflake from both an architectural and operational perspective.
Experience building and operating API gateway, secrets management, and identity-based access control infrastructure in support of automated workflows or agent systems.
Solid understanding of SOX IT General Controls and application controls, with experience producing control evidence in a public company environment within the last 3 years.
Proven track record managing multi-functional business systems or platform teams, including direct management of admins and techno-functional resources.
Experience designing integration architectures using event-driven, API-first, or middleware patterns.
Strong communication and stakeholder management skills with the ability to engage credibly across technical teams, senior business leaders, and external auditors.
Experience with workflow versioning, GitOps patterns, and CI/CD pipelines for business systems deployments.
Preferred
Proficiency with architecture and security frameworks to enable the responsible usage of AI
Hands-on experience with iPaaS or middleware platforms (e.g., Fivetran, Polytomic, MuleSoft, Boomi, Celigo) at a design and governance level.
Experience developing master data management (MDM) strategy and data governance frameworks.
Experience managing analytics architecture and BI platforms such as Tableau.
Salesforce and NetSuite certifications.
Experience working in public or large enterprise technology environments with compliance and audit requirements.
At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.
Location: San Francisco, CA
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
Frontier research runs on more than research alone. Behind every model launch, review, and cross-team program is a web of decisions, priorities, and follow-through that keeps hundreds of researchers moving in the same direction. Research Operations owns that work: we bring clarity to ambiguity, provide stability during change, and continually deepen our domain knowledge so that researchers can spend their time on the problems only they can solve. It is one of the highest-leverage functions at Anthropic.
We are hiring an experienced operator to embed with the leadership of our reinforcement learning (RL) organization, the team responsible for training Claude to be more capable, more reliable, and more aligned. You will shape what leadership spends its time on, make sure priority decisions reach the right decision-makers and get made quickly, and clear the path so leaders can focus on the work that matters most. You will report to the Manager of Research Operations and work daily with RL org leaders and their teams.
Key responsibilities
Own leadership's time.
Shape the week around the leaders' specific, most timely priorities, set agendas so meetings are spent on decisions that move the org forward, and cut what isn't critical so leaders stay focused on the areas that are highest-leverage for them.
Triage what reaches leadership.
Resolve what you can, route what belongs elsewhere, and thoughtfully escalate the rest.
Enable wise decision-making and follow through.
Give leaders what they need to decide quickly, communicate those decisions to collaborators, and track commitments through to completion.
See problems coming.
Surface resourcing gaps, technical bottlenecks, and stalled action-items before they become blockers.
Scale leadership voice.
Meetings are ephemeral; docs are forever. Draft materials for org-wide announcements, programming, and planning sessions. Protect leadership’s time for creating durable comms that set direction in turbulent times.
Make the org run better.
Find the friction that keeps recurring and find the people who can fix the process behind it.
Be a thought partner.
Offer honest, candid counsel to leaders, including crisp and kind disagreement.
Minimum qualifications
Care deeply about Anthropic's mission and let it underpin all judgment calls you make across the org.
Technical fluency to engage substantively with researchers: you can follow a discussion about an RL training run, read a set of eval results and form reasonable hypotheses about what they mean, and hold your own in a technical conversation. You don't need to have trained a model yourself, but you should understand the model training process and have the depth to work closely with leading researchers.
Clear writing: you turn dense, jargon-heavy material into summaries and plans that technical collaborators across the RL org and beyond can act on
An eye for great dashboards: you can look at data visualizations and scope improvements that make lessons at-a-glance clearer and grounded.
Strong follow-through and attention to detail; nothing falls through the cracks on your watch.
Ability to push back on senior stakeholders to offer strategic guidance as needed, disagree without causing discord, and influence without direct authority.
Comfort with ambiguity and a fast-changing environment; you stay steady when the pace is relentless and the stakes are as high as they can possibly be.
Experience in an operations, chief of staff, program management, or comparable role supporting senior leaders in a fast-moving technical organization
High integrity. This role sits close to decisions that execute on Anthropic’s mission, and you care about getting them right.
Preferred qualifications
Experience supporting a senior leader directly in a chief of staff or related function
Time in a research institution, lab, or other research-heavy organization
Track record of anticipating what colleagues and leaders will need and acting on it before being asked
Comfort in an environment where the right answer changes hour to hour
Experience moving routine operational work to AI agents, or the ability to script and build small tools
Familiarity with AI safety or other existential risks.
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:
$210,000
—
$260,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
United Kingdom - Remote
San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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