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're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
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:
$260,000
—
$325,000 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: Riyadh, Saudi Arabia
Müller’s Solutions is seeking a skilled Power BI Developer who is also fluent in Arabic to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying Power BI solutions that deliver impactful business insights. Your ability to communicate effectively in Arabic will facilitate collaboration with Arabic-speaking stakeholders and clients.
Responsibilities:
Develop and maintain robust Power BI reports and dashboards tailored to business requirements.
Collaborate with stakeholders, including Arabic-speaking clients, to gather requirements and translate them into technical solutions.
Optimize data models and ensure high performance of Power BI solutions.
Conduct data analysis to support decision-making processes and provide insights.
Ensure data quality, security, and governance standards are adhered to.
Provide support and training to users, including Arabic-speaking teams, to enhance their use of Power BI tools.
Stay up-to-date with the latest Power BI features and best practices to continually improve BI solutions.
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Power BI Developer with a strong portfolio of Power BI projects.
Fluency in Arabic, both written and spoken, is essential for this role.
Strong proficiency in DAX, Power Query, and advanced Power BI functionalities.
Experience in data modeling, ETL processes, and SQL.
Ability to translate complex data into clear, actionable business insights.
Excellent communication and interpersonal skills for effective collaboration with bilingual teams and clients.
Knowledge of data governance, data quality, and security best practices.
Self-motivated with the ability to work independently and manage multiple projects.
Experience with other BI tools and analytics platforms is a plus.
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
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
Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
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
—
$345,000 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: New York City, NY; 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
Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale.
As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up.
This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one.
Responsibilities
Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases
Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic
Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk
Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike
Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins
Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement
Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next
Contribute to the playbook, proof points, and motion that this team is building from the ground up
You may be a good fit if you have
3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota
Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it
A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts
Experience running enterprise sales cycles involving technical evaluations, security review, and procurement
Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations
Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise
Strong commercial instincts and the ability to qualify quickly and advance rigorously
Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial
What will make you stand out
Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years
Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it
Background in developer tools, API, or AI/ML sales into technical buyers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$380,000 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: Santa Clara, CA
Workplace: onsite
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
Role Overview:
We're hiring a Robotics Safety & Compliance Lead to own safety, risk, and compliance across our robotics operations — and to lead the function as it scales. This is a builder-leader role: you'll set the standard, establish the frameworks, and grow the program (and eventually the team) that keeps our labs and data collection environments safe, compliant, and audit-ready.
You'll be the senior voice on safety in the room with operations, engineering, and EHS — setting direction rather than waiting for it, and building practical frameworks that support both speed and control.
What You Will Do
Own safety and compliance end to end across robotics labs and data collection environments.
Set the safety strategy and roadmap as programs scale across sites, and define what "good" looks like for the function.
Develop and implement safety standards, SOPs, and risk mitigation frameworks.
Conduct risk assessments across different lab setups (humanoid, teleoperation, motion capture, etc.).
Serve as the escalation point and decision-maker on safety risk — including the authority to pause work when conditions require it.
Lead incident response processes, reporting, and root cause analysis.
Conduct regular audits and maintain audit readiness across sites.
Build and lead safety training, onboarding, and a safety champion network across lab teams.
Influence senior stakeholders and report on safety posture, risk trends, and program maturity to leadership.
Hire, mentor, and grow safety and compliance support as the program expands.
Partner with engineering on safe system design — cell layout, e-stops, guarding, interlocks, and operating envelopes.
Balance operational speed with safety and compliance requirements.
What Good Looks Like
Clear, practical safety frameworks that teams actually follow.
A safety culture the is owned by the organization, not one that depends on one person policing it.
Strong risk awareness without slowing down execution.
High audit readiness and clean compliance posture.
Proactive identification and mitigation of safety risks.
Credibility with engineering — seen as a technical partner, not a gate.
Strong partnership with operations and engineering teams.
Basic Qualifications
5+ years of experience in safety, compliance, or EHS roles (technical or lab environments preferred).
Demonstrated leadership experience — owning a program, leading cross-functional initiatives, or managing/mentoring others.
Experience developing and implementing safety programs or frameworks from the ground up.
Strong understanding of risk assessment and incident management.
Ability to translate standards into practical, operational processes.
Clear communication and proven ability to influence senior and technical stakeholders.
Familiarity with safety standards (e.g., ISO frameworks such as ISO 10218, ISO/TS 15066, ANSI/RIA R15.06).
Preferred Qualifications
Experience in robotics, manufacturing, industrial, or lab-based environments.
People management experience, or experience building a function and its first hires.
Software or technical background as a plus — comfort with ROS, robot control software, teleoperation and motion capture systems, or scripting (e.g. Python) to analyze incident and sensor data.
Experience building or automating compliance tooling — audit tracking, incident dashboards, or safety checklists integrated into lab workflows.
Experience supporting high-growth or rapidly scaling operations.
Background working with cross-functional technical teams.
Work Environment and Physical Requirements
Onsite lab environment (robotics lab, warehouse, or similar setup).
Must be able to stand for extended periods during audits and inspections.
Must be able to occasionally lift and/or move up to 50 lbs.
Fast-paced environment with evolving operational needs.
Why This Role Matters
As robotics programs scale, safety and compliance become critical to sustainable operations. This role leads how we operate responsibly, reduce risk, and build systems that scale without compromising safety.
Benefits Included in the Offer:
- Friendly Working Environment
- IT Equipment
- Social Activities
- Global Mobility Policy
- Employee Referral Program
- Employee Assistant Program
- Medical, Dental, and Vision Insurance
- HSA & FSA
- 401(k) retirement
- Short & Long Term Disability Insurance
- Accident, Critical Illness, Hospital Indemnity Insurance
- Telemedicine Benefit
- Annual Leave
- Paid Public Holidays
- Maternity/Paternity Leave
Hourly Pay: $65-$75/hr.
Job Reference: #LI-JC1
Location: Netherlands
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Dutch
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Norway
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Norwegian
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Romania
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Romanian
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Russia
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Russian
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Sweden
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Swedish
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Turkey
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Turkish
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: China
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Chinese
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Poland
Workplace: remote
Transcriber – Audio & Annotation Projects
We are looking to onboard Transcribers to support a range of upcoming audio processing projects. This role focuses on converting audio into accurate written text, with opportunities to contribute to annotation tasks depending on project needs.
Key Responsibilities
Transcribe audio files into clear, well-structured text
Work with a variety of audio types, including:
Single-speaker recordings
Podcasts
Multi-speaker conversations
Identify speakers where applicable
Ensure high accuracy and attention to detail
Follow project-specific transcription and formatting guidelines
Task Types
1. Transcription Tasks
Convert audio content into written text
Maintain consistency in formatting and structure
Ensure clarity and completeness of transcriptions
2. Annotation Tasks (Project-dependent)
Label or tag segments of text or audio
Categorize content based on provided guidelines
Support data quality and training datasets
Requirements
Native-like proficiency in Polish
Good written English
Strong listening and comprehension skills
Ability to follow detailed instructions and guidelines
Previous transcription or annotation experience is a plus, but not required
Availability
Minimum 4 hours of availability required during scheduled transcription shifts
Project Details
Flexible working hours – complete tasks at your own pace within project timelines
Tasks are completed via a secure online platform: Aurora Studio
Full guidelines and instructions are provided for each task
Ongoing support is available to ensure quality and consistency
Multiple similar projects are planned throughout 2026, offering potential for continued work
Location: Brazil
Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….
ClinChoice is searching for a
Regulatory Affairs Associate Consultant
for 12 months Contract with possibility of extension
to join one of our clients.
ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.
Job Title
ANALYST REGULATORY AFFAIRS Consultant
Job Summary
Ensures proper submission and approvals for market licenses including new registrations, changes and timely renewals, and establishment registrations, organizing and balancing a multitude of projects simultaneously.
Scope
Major Roles and Responsibilities
Elaborate regulatory strategy and execute submission of changes, new registrations and renewals in timely manner with some guidance.
Execute activities to obtain or update establishment registration licenses.
Execute post-approval activities such as preparation of communications to stakeholders, labels and Instructions for Use and system updates.
Request and follow-up of documentation to prepare registration dossiers.
Supports regional team on product submissions schedules, prioritization, and pipeline management.
Support internal and external audits with documentation requests.
Interacts with other stakeholders, government agencies in a professional, decisive, & articulate manner.
Act as a point of contact for stakeholders to support business plans and regulatory needs.
Review labels compliance in internal system.
· Support projects as representative of the subject/country.
· Elaborate procedures of the area.
· Organize team meetings and elaborate agenda and minutes.
· Manage quality issues.
· Manage compulsory certification (INMETRO) and GMP activities.
Competencies
Knowledge of Local & International Regulation and Processes
Analytical capability and investigative skills
Self-motivated and committed to a team approach
Communicates clearly and effectively.
Prioritizes work to meet deadlines
Planning and Organizing skills
Understands the importance of the adherence to compliance
Project Management skills and ability to manage complex data with excel spreadsheets are desirable
GLP Behaviors
Collaboration and teaming
Results & Performance Driven
Sense of Urgency
Integrity & Credo-based Actions
Intellectual curiosity
Self Awareness & Adaptability
Experience/ Qualification Requirements
Must have 1-2 years experience at least working in Regulatory Environment (and/or training or equivalent combination of education and experience), preparing submissions for Brazilian Health Authorities and a successful track record.
Desirable experience in Medical Devices or Pharma background.
Education Requirements
· A Bachelor’s Degree in Engineering, Pharmacy or other life science: Can be a person with related experience and/or training or equivalent combination of education and experience. Advanced reading and writing Skills in English are required; intermediate to advanced speaking is desirable. Fluent in Portuguese.
Location: Tokyo
Workplace: Hybrid
Role highlights:
- Strategic Account Manager – Insurance and Banking
- Location: Tokyo
- Department: Solutions Line of Business
- Reports to: Head of Re/Insurance, Europe
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
Within ICEYE, the Solutions Team is dedicated to developing and deploying products utilising ICEYE’s unique remote sensing and intelligence capabilities, to support commercial and civil government customers. ICEYE’s natural catastrophe solutions enable customers to respond rapidly, mitigate the impact, and enhance resilience.
As the Strategic Account Manager – Insurance and Banking, you will lead ICEYE’s sales efforts into the insurance and banking sectors across Japan. You will be responsible for sales within the region, including originating new business with new customers, and extending the scope of use of ICEYE solutions within our existing customer base.
This is not a standard sales role; you will contribute to the evolution of the Go-to-Market (GTM) strategy for these sectors in Japan and be the primary driver of ICEYE’s commercial growth in one of our most strategic markets.
Japan will be your core focus and primary revenue responsibility, while you will also support the role of our Japanese business as a strategic hub for broader expansion within Asia. You will collaborate with other teams within the Solutions LoB to help shape our product strategy and service model for this important market.
You will operate at the intersection of ICEYE’s agile, high-growth global culture and the complex, trust-based environment of Japan’s leading enterprises, while selectively contributing to regional growth initiatives across APAC.
Who We Are
ICEYE https://linktr.ee/iceye_global 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 1,000 employees across Poland, Spain, Germany, the UK, Australia, Japan, the UAE, Greece, and the US.
We’re a growing international team of builders. Join us.
Your day-to-day responsibilities
Grow ICEYE’s Solutions business in the Japanese insurance and banking markets by originating and closing new contracts with new customers, and extending the scope of use of ICEYE solutions within our existing customer base.
Develop the end-to-end Go-To-Market strategy for Japan, identifying and capturing new market opportunities with ICEYE’s innovative solutions
Contribute to a regional GTM strategy, grounded in structured market intelligence to inform ICEYE’s global commercial strategy, prioritize target accounts, and guide product development and resource allocation
- Take full ownership of a designated strategic anchor account within the Japanese insurance market, with end-to-end responsibility for relationship development, revenue growth, and long-term partnership success. This is a long-standing ICEYE customer and account
- Build and execute account plans that position ICEYE as a mission-critical partner to this anchor client, expanding across business units and use cases
- Grow and develop a multi-year opportunity pipeline (2026–2028), establishing a sustainable foundation for long-term growth and recurring partnerships across the insurance sector
- Establish ICEYE as a recognized leader and trusted partner within the Japanese financial services ecosystem through consistent engagement with insurers, reinsurers, brokers and banks, and through industry events
- Build and nurture long-term, trust-based relationships with C-suite executives and key decision-makers across major Japanese enterprises
- Act as a bridge between ICEYE’s global teams and local customers, aligning expectations and translating business needs into technical and commercial solutions
- Drive collaboration with ICEYE’s Missions, Data, and Solutions teams to identify and close integrated opportunities, ensuring coherent positioning and value creation across product lines
- Support and contribute to GTM strategy and sales execution across APAC, leveraging Japan as a reference market while selectively developing regional opportunities
- Identify opportunities for disaster-resilience and catastrophe-related solutions, leveraging Japan’s unique risk landscape to pilot and scale new SAR-based offerings
- Act as an internal advocate to productize locally developed solutions and integrate them into ICEYE’s global roadmap.
What we’re looking for
Must haves:
- 10+ years of sales experience, preferably within the insurance industry
- Strong experience selling to insurers/reinsurers or banks (ideally both), in Japan
- Proven track record in complex, consultative, and strategic enterprise sales, including ownership of large, strategic accounts
- Deep understanding of the Japanese sales cycle, including trust-based relationship building, consensus-driven decision-making, and long-term account development
- Strong cultural fluency with the ability to operate effectively in high-context Japanese business environments while bridging to a fast-paced, low-context global organization
- Experience working with or within large Japanese corporations, or selling high-value solutions into them
- Existing network within the Japanese P&C insurance ecosystem (insurers, reinsurers, brokers, or industry bodies), ideally similar in the Japanese banking sector
- Experience in geospatial data, analytics, catastrophe modeling, or related solutions is a strong advantage
- Ability to operate with high autonomy—building strategy from the ground up and adapting quickly based on market feedback
- Strong cross-functional leadership skills, with experience working across product, operations, and customer-facing teams
- Fluency in Japanese (native-level, including business etiquette) and English required; additional languages are a plus
Application Process
- Recruiter Interview
- Assessment
- Hiring Manager Interview
- Panel Presentation / Case Study
- VP and CEO Japan Interviews
- References + Offer
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.
Location: New York City, NY; 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
Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level.
As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly.
This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level.
Responsibilities
Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders
Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact
Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion
You may be a good fit if you have
8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience
Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases
What will make you stand out
Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms
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:
$380,000
—
$450,000 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: Bengaluru, Karnataka, India, APAC
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
As a Staff SDET, you’ll lead from the front– owning shared automation infrastructure, influencing release quality strategy, and driving initiatives that span teams and systems. This role sits at the intersection of hands-on engineering, architectural leadership, and org-wide quality influence.
You will architect and scale automation utilities/libraries, design and build internal tools that improve developer productivity and test efficiency, and establish testing strategies that ensure high-confidence releases across business-critical systems. You will work cross-functionally across teams and domains to influence quality culture, mentor engineers, and drive initiatives that shape how Fivetran builds and ships software. In addition, this role emphasizes leveraging AI driven solutions to accelerate testing, enhance developer productivity, and improve operational insights, making Fivetran’s quality practices smarter, faster, and more scalable.
This role requires deep technical expertise, architectural foresight, and the ability to scale impact beyond code through systems thinking, tool building, and strategic alignment.
Technologies You’ll Use
Languages & Frameworks: Java (17+), JUnit, REST Assured, Shell scripting; Python (optional)
Infrastructure & Tooling: Docker, Kubernetes, Terraform, Bazel, Buildkite
Cloud & Platform: AWS, GCP, Azure
Observability & Monitoring: Grafana, Prometheus, Datadog
CI/CD & Automation: Jenkins, CircleCI, GitHub Actions
Data & Testing:ELT pipelines, test automation utilities, whitebox testing strategies
Databases: SQL and NoSQL databases (e.g., Postgres, MongoDB)
What You’ll Do
Lead the architecture of internal tools, libraries, and utilities for test automation and benchmarking, enabling scalable quality solutions across teams and domains.
Define and evolve quality strategies covering testability, release readiness, performance, and reliability.
Drive cross-org quality initiatives to improve execution speed, observability, and feedback loops.
Identify systemic risks in business-critical systems and implement robust validation strategies.
Mentor engineers, influence design for testability, and champion best practices across the org.
Collaborate with engineering and product leaders to align testing priorities with platform and business objectives.
Skills We’re Looking For
8+ years of experience in the software industry with a focus on building test automation frameworks, tools, and infrastructure at scale.
Experience defining and driving code quality for tests (review processes, efficiency, maintainability).
Writes critical or common code shared across multiple teams.
Identifies and designs fixes for critical issues concerning core parts of the product.
Contributes to and enforces department-wide coding standards.
Identifies major improvements in product to improve quality and resilience.
Identifies and fixes performance, scalability, and reliability gaps in tests and test frameworks.
Defines testing efficiency and reporting strategies.
Defines guidelines for product releases, including quality gates and readiness criteria.
Expert in design principles and applying them to test architecture.
Strong knowledge of OOP (preferably Java)
Hands-on experience with cloud platforms (AWS, GCP, Azure).
Experience with CI/CD systems (Buildkite, Jenkins, GitHub Actions, CircleCI), modern build tools (Bazel, Maven, Gradle), and observability platforms (New Relic, Datadog, Prometheus, Grafana).
Strong background in infrastructure and container orchestration (Docker, Kubernetes, Temporal).
Strong understanding of data engineering concepts, and large-scale distributed systems.
Demonstrated ability to drive initiatives across multiple teams and influence business-critical systems.
Strong written and verbal communication skills to support complex technical discussions.
Knowledge of ELT pipelines, including testing data integrity, schema evolution, and pipeline reliability.
Demonstrated ability to incorporate AI techniques to improve test efficiency, defect detection, and productivity.
Experience evaluating and adopting emerging quality engineering practices (e.g., shift-left testing, chaos engineering, autonomous testing).
#LI-HYBRID
#LI-PE1
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.
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