Location: Porto, Portugal
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Portuguese and fluent in English.
Location:
Must be based in Portugal.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
УдалённоseniorPorto, Portugal; Must be based in Portugal
Location: Netherlands
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Dutch and fluent in English.
Location:
Must be based in Netherlands.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Japan
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Japanese and fluent in English.
Location:
Must be based in Japan.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Italy
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Italian and fluent in English.
Location:
Must be based in Italy.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Spain
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in Spanish and fluent in English.
Location:
Must be based in Spain.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: France
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in French and fluent in English.
Location:
Must be based in France.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Germany
Workplace: remote
We are seeking a Prompt Engineer to be responsible for the end-to-end technical migration workflow for transitioning templates to LLM autoraters. The role is required to use client’s internal tools to leverage prompt engineering techniques to maximize model performance.
Responsibilities:
Utilize Automatic Prompt Generation (APG) tools to create baseline prompts for complex parent-child template clusters.
Run and supervise Automated Prompt Optimization (APO) tool, review the outputs, and flag when the APO reaches deadlocks or plateaus.
Manually draft, test, and refine prompts to navigate complex template architectures, overcome anti-patterns, and handle edge cases where tooling is lacking or broken. Solve edge-case scenarios by designing and refining manual prompts.
Monitor shadowbot runs to ensure sufficient disagreements (between human and LLM ratings) are registered, generated, and tracked.
Run prompt versions against established gold data to continuously measure autorater quality against the human crowd baseline, calculating accuracy metrics such as F1 scores, precision, and recall.
Draft technical launch readiness justifications (Launch Certification Documentation) for final.
Requirement:
Language Skills
:
Native fluency in German and fluent in English.
Location:
Must be based in Germany.
Education
:
Bachelor’s, Master’s, or Doctorate degree in Computer Science, Data Science, Computational Linguistics, Human-Computer Interaction (HCI), Cognitive Science, or a related analytical field.
Prompt Engineering & AI Expertise
:
At least 4 years' experience as Prompt Engineer. Proven experience tuning Large Language Models (LLMs) for strict, structured outputs, complex classification tasks, and familiarity with chain-of-thought and few-shot learning.
Data Analysis
:
Strong proficiency in identifying error patterns, analyzing model performance, and using SQL or other data analytics tools.
Technical Agility
:
Ability to quickly learn and master proprietary tools with minimal supervision.
Communication
:
Excellent verbal and written communication skills.
Optional / Preferred Skills:
Familiarity with enterprise-grade LLM interfaces like the Goose API.
Experience in AI model evaluation, data science, computational linguistics, or software engineering.
Hands-on experience with Automated Prompt Optimization (APO) systems or tuning workflows.
Linguistic expertise, including an understanding of semantics and logic.
Location: Tokyo, Japan
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals.
As a
Business Operations Specialist
at Via, you'll run the invoicing, payment, and contracting work that keeps our business operations moving. You'll be part of a global company that is a world leader in transit technology, working with an international team on our mission to build better public transportation systems. At the same time, you'll join a smaller team in Tokyo, in a region where Via is growing rapidly, so your work has real visibility and plenty of room for you to grow with it. It's a fast-paced environment that values ownership, moving fast, and solving meaningful problems.
About the Role:
Own the invoice and payment process from start to finish: prepare and process invoices, PO requests, and payment documentation, and track down missing information so nothing stalls.
Drive contracting from first request to final signature: collect vendor details, prepare agreements, arrange signatures, and keep our contract logs accurate and up to date.
Build and maintain the trackers and filing systems the team uses to see where everything stands.
Be the go-to contact for internal teams and external partners, keeping communication fast, clear, and easy to follow.
Take part in legal document check-ins with our colleagues across the globe several times a month.
Keep day-to-day operations running smoothly, including scheduling and general administrative workflows.
Pick up ad-hoc coordination tasks as they come up: spot the next step, gather what’s needed, and move it forward without waiting for instructions.
About You:
At least 10 years of experience in operations, finance admin, invoicing, or coordination, ideally including managing commercial contracts.
Native-level or bilingual
Japanese
, written and spoken.
Business-level
English
or higher, written and spoken. English is our company language, and you’ll work with international teams.
Tech-savvy with hands-on experience in Google Workspace, Slack, Salesforce, or AI tools—or a proven track record of getting up to speed on new platforms fast.
Strong administrative skills and attention to detail.
A “get things done” mindset: you take initiative, respond quickly, and work independently with little supervision.
Resourceful and flexible, and happy to work in a fast-paced environment where priorities change and the job description isn’t always clear-cut.
Working Conditions:
Hourly rate of ¥2,500–3,000
You’ll start as a contractor for one year, with the potential to convert to full-time based on mutual discussion.
Core hours are 09:30–17:30, five days a week, for roughly 30–40 hours per week. Quarter-end periods require overtime work
Hybrid: one day a week in our Toranomon, Tokyo office, and remote the rest of the week.
Weekly legal document check-in meetings aligned with European time zones
Health insurance covered by the company, with a company top-up.
Commuting costs covered for commutes within 90 minutes of our Tokyo office.
There has never been a more exciting time to be on the cutting edge of public mobility.
Ready to join the ride?
Location: Remote, Germany, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for an Account Executive, Enterprise who will be responsible for generating new business pipeline and expansion and closing new customers in the Enterprise segment (Top Accounts in Germany). This includes identifying specific projects where Fivetran can add value.
This is a full-time, remote position based out of Germany.
What You'll do
Generate new business qualified opportunities by working with Tech Partners, SI Partners, XDRs, going direct outbound on named accounts in territory
Actively pitch the value proposition of Fivetran’s Database replication capabilities along with the Fivetran platform at-large
Manage 90-180 day sales cycles with multiple stakeholders and departments to land in an enterprise organization
Negotiate responsible deals and manage the procurement process with legal, deal desk, and deal champions
Develop trusted relationships with internal stakeholders and senior decision makers at large organizations who will evangelize Fivetran throughout their company
As part of our commitment to setting new hires up for success, all new sales team members attend a one-week, in person Revenue Bootcamp during their second week at Fivetran. This bootcamp, held at one of our designated company locations, requires travel and is a mandatory part of the onboarding process.
Skills We're Looking For
A minimum of 8 years' experience in new business sales, demonstrating a track record of success in selling to enterprise-level organizations.
Have the vision to succeed
Plan the vision by a strategy through territory and account planning
Drive pipeline generation with ecosystem
Land customers as soon as possible
Sell services to help offload onboarding
Proficient in sales within the Data industry.
Capable of effectively utilising both inside and outside sales approaches to secure deals.
Demonstrated proficiency in generating new business-qualified opportunities across diverse channels.
#LI-LA1
#LI-REMOTE
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
€105.019
—
€131.274 EUR
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Hong Kong
QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.
The AWS Cloud Engineering Team provides a scalable, performant and best practice platform for QRT’s application and core teams to utilize in deploying cloud native services. This team is critical in ensuring that applications are built on a strong AWS foundation from the perspective of governance, security and connectivity.
Your future role within QRT
We are seeking a Network Operations Engineer to support the ongoing operation, scalability and continuous improvement of our global AWS network.
This role focuses on implementing change safely and consistently at scale, improving automation, and providing operational support to internal stakeholders. You will work closely with senior engineers, application teams, security and IT to ensure reliable, well-governed and observable network services in a production-sensitive environment.
The role is expected to involve the following activities:
Implement changes across our global AWS network using Infrastructure-as-Code
Maintain and enhance Terraform modules to ensure scalable, repeatable and consistent network deployments
Develop and maintain automation tooling using Python and Bash
Execute controlled changes via CI/CD pipelines with appropriate validation and peer review
Assess and manage the risk associated with network changes, ensuring appropriate testing, impact analysis and rollback strategies are in place
Support and resolve network-related tickets raised by internal stakeholders in a timely and professional manner
Troubleshoot connectivity and configuration issues within AWS environments using both native and third-party tooling
Contribute to operational documentation, runbooks and continuous process improvement
This role offers strong growth opportunities into deeper cloud networking, platform engineering and automation.
Your present skillset
2–4 years of experience in a cloud, infrastructure or network operations engineering role
Good understanding of networking fundamentals including IPv4, DNS, TCP/UDP and routing concepts
Practical experience with AWS networking services such as VPC, Transit Gateway and Route53
Hands-on experience using Infrastructure-as-Code, ideally Terraform
Experience developing automation using Python and/or Bash
Ability to troubleshoot issues methodically and independently within production environments
Strong awareness of production risk and high-availability considerations
Experience handling tickets and communicating effectively with internal customers
Comfortable working in a fast-paced, dynamic environment
Desirable experience
Experience operating AWS networking at scale across multiple environments or region
Familiarity with CI/CD pipelines and automated deployment workflows
Exposure to IP address management tooling such as AWS VPC IPAM or Infoblox
Load balancing technologies (ALB, NLB)
Logging and observability tooling (CloudWatch, Grafana)
Exposure to newer AWS networking services such as VPC Lattice
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programs to enable employees to achieve a healthy work-life balance.
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
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.
We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
What you’ll do
Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.
Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.
Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.
Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.
Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.
Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.
Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.
Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.
You may be a good fit if you
Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead
Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.
Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.
Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.
Strong candidates may also have
Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.
Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.
Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.
Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.
Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.
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:
$405,000
—
$485,000 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: Hollywood, FL
Nursing Care Coordinator (LPN / RN)
Location:
Hollywood, FL (In-Office)
Schedule:
Full-Time; 9:00 am - 5:30 pm
Salary:
$30.00 an hour- $35.00 an hour
About Infinite Medical P.C.
Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country.
Position Overview
Infinite Medical P.C. is seeking an on-site, detail-oriented Licensed Nurse (RN) or Licensed Practical Nurse (LPN) to serve as a Nursing Care Coordinator. Operating strategically in an administrative role, you will review and verify chart documentation to ensure compliance and support seamless continuity of care for our patient population.
Key Responsibilities
Compliance & Records Review
: Evaluate patient records and Review Visit Logs (RVLs) to ensure clinical accuracy and strict adherence to CMS and internal operational guidelines.
Quality Assurance
: Identify documentation discrepancies, generate clinical corrections, and submit suggestions for resolution.
Cross-Functional Communication
: Coordinate with HR, Operations, and Clinical teams to resolve inquiries and escalate technical issues promptly.
Professional Development
: Participate in mandatory operational and educational meetings, complete post-training surveys, and cross-train in expanding care management verticals.
Systems Utilization
: Maintain proficiency across primary digital platforms, including Emsow, PointClickCare, Sigma/Matrix, Reliable/Visual, Yardi-One and Google Workspace.
Core Knowledge & Competencies
Clinical Documentation & Chart Review
: Review charts for completeness, accuracy, regulatory compliance, and QA standards.
Care Management
: Expert understanding of chronic disease management, care planning, care transitions, and patient engagement.
LTC & SNF Operations
: Familiarity with Skilled Nursing Facility workflows, common geriatric diagnoses, and interdisciplinary care.
EMR Systems
: Hands-on experience with PointClickCare (PCC), MatrixCare, SigmaCare, or similar healthcare platforms.
Medical Literacy
: Strong grasp of medical terminology, pharmacology, diagnoses, medications, and treatments.
Execution & Communication
: Exceptional attention to detail to find discrepancies, strict time management to meet daily productivity goals, and professional communication skills.
Preferred Knowledge
CMS guidelines for chronic care documentation.
ICD-10 diagnosis coding fundamentals.
Review Visit Log (RVL) completion and clinical review principles.
Microsoft Office and Google Workspace proficiency.
Position Requirements
Licensure
: Valid Registered Nurse (RN) or Licensed Practical Nurse (LPN)
Clinical Expertise
: Strong foundational knowledge of geriatric care and chronic medical conditions.
Schedule
: Commitment to a full-time, on-site, standardized schedule: Monday through Friday, 9:00 AM – 5:30 PM.
Computer work including keyboard and mouse use for extended periods. Occasional standing/walking. Lifting/moving patients. Prolonged sitting.
Compensation & Benefits
Compensation
: $30.00 – $35.00 per hour
Sign-on Bonus
: $1,000
Financial Security
: 401(k) retirement plan
Health & Wellness
: Comprehensive Medical, Dental, and Vision insurance
Life Insurance
: Company-sponsored policy coverage
Time Off
: Accrued Paid Time Off (PTO)
Why Join Infinite Medical P.C.?
Purpose-Driven Work
: Drive meaningful healthcare outcomes and elevate the quality of life for seniors.
Collaborative Culture
: Thrive in a cohesive, mission-driven team environment.
Work-Life Balance
: Enjoy a stable daytime schedule that respects your personal time.
Equal Opportunity Employer
Infinite Medical P.C. is an Equal Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment built on mutual respect, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, disability, or veteran status.
Note: This job description outlines the general nature and scope of the role; essential functions may evolve to meet changing business demands.
Ready to Make a Difference?
Apply today to join our team and deliver compassionate, compliant, and personalized care where it matters most.
#INDL
Location: Hollywood, FL
Nursing Care Coordinator (LPN / RN)
Location:
Hollywood, FL (In-Office)
Schedule:
Full-Time
Salary:
$30.00 an hour- $35.00 an hour
About Infinite Medical P.C.
Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities. Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country.
Position Overview
Infinite Medical P.C. is seeking an on-site, detail-oriented Licensed Nurse (RN) or Licensed Practical Nurse (LPN) to serve as a Nursing Care Coordinator. Operating strategically in an administrative role, you will review and verify chart documentation to ensure compliance and support seamless continuity of care for our patient population.
Key Responsibilities
Compliance & Records Review
: Evaluate patient records and Review Visit Logs (RVLs) to ensure clinical accuracy and strict adherence to CMS and internal operational guidelines.
Quality Assurance
: Identify documentation discrepancies, generate clinical corrections, and submit suggestions for resolution.
Cross-Functional Communication
: Coordinate with HR, Operations, and Clinical teams to resolve inquiries and escalate technical issues promptly.
Professional Development
: Participate in mandatory operational and educational meetings, complete post-training surveys, and cross-train in expanding care management verticals.
Systems Utilization
: Maintain proficiency across primary digital platforms, including Emsow, PointClickCare, Sigma/Matrix, Reliable/Visual, Yardi-One and Google Workspace.
Core Knowledge & Competencies
Clinical Documentation & Chart Review
: Review charts for completeness, accuracy, regulatory compliance, and QA standards.
Care Management
: Expert understanding of chronic disease management, care planning, care transitions, and patient engagement.
LTC & SNF Operations
: Familiarity with Skilled Nursing Facility workflows, common geriatric diagnoses, and interdisciplinary care.
EMR Systems
: Hands-on experience with PointClickCare (PCC), MatrixCare, SigmaCare, or similar healthcare platforms.
Medical Literacy
: Strong grasp of medical terminology, pharmacology, diagnoses, medications, and treatments.
Execution & Communication
: Exceptional attention to detail to find discrepancies, strict time management to meet daily productivity goals, and professional communication skills.
Preferred Knowledge
CMS guidelines for chronic care documentation.
ICD-10 diagnosis coding fundamentals.
Review Visit Log (RVL) completion and clinical review principles.
Microsoft Office and Google Workspace proficiency.
Position Requirements
Licensure
: Valid Registered Nurse (RN) or Licensed Practical Nurse (LPN)
Clinical Expertise
: Strong foundational knowledge of geriatric care and chronic medical conditions.
Schedule
: Commitment to a full-time, on-site, standardized schedule: Monday through Friday, 9:00 AM – 5:30 PM.
Computer work including keyboard and mouse use for extended periods. Occasional standing/walking. Lifting/moving patients. Prolonged sitting.
Compensation & Benefits
Compensation
: $30.00 – $35.00 per hour
Sign-on Bonus
: $1,000
Financial Security
: 401(k) retirement plan
Health & Wellness
: Comprehensive Medical, Dental, and Vision insurance
Life Insurance
: Company-sponsored policy coverage
Time Off
: Accrued Paid Time Off (PTO)
Why Join Infinite Medical P.C.?
Purpose-Driven Work
: Drive meaningful healthcare outcomes and elevate the quality of life for seniors.
Collaborative Culture
: Thrive in a cohesive, mission-driven team environment.
Work-Life Balance
: Enjoy a stable daytime schedule that respects your personal time.
Equal Opportunity Employer
Infinite Medical P.C. is an Equal Opportunity and Affirmative Action employer. We celebrate diversity and are committed to creating an inclusive environment built on mutual respect, free from discrimination based on race, religion, color, national origin, gender, sexual orientation, age, disability, or veteran status.
Note: This job description outlines the general nature and scope of the role; essential functions may evolve to meet changing business demands.
Ready to Make a Difference?
Apply today to join our team and deliver compassionate, compliant, and personalized care where it matters most.
#INDL
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
We’re looking for a strategic player coach – a Lead Product Designer who’s ready to tackle complex UX challenges and elevate our product to new heights. If you’re excited to dive deep into intricate design problems, raise the bar for design quality, and design and build a complex interface to data.
You’ll shape the workflows that empower technical users to seamlessly explore and understand their data. You’ll dig into user needs, collaborate closely with product and engineering on product strategy, and help foster a culture where design is seen as crucial to our success.
You will largely own both the design and much of the implementation of a cloud hosted offering. Experience in data interfaces, especially business intelligence, SQL and data exploration interfaces is a giant plus.
We value curiosity, humility, ambition, and designers who understand the technical underpinnings of data, and can even implement their own designs. If this sounds like you, send us a hello with a link to your portfolio. We’d love to see how you think, how you work, and the impact you’ve made!
This is a full-time, hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You’ll Do
Own the end-to-end design strategy and execution for key areas of our product. Deliver creative solutions while proactively identifying and proposing future improvements and features. Collaborate closely with your stakeholders to shape roadmaps and product direction, align design strategy with business goals, and champion user-centered projects from concept to release.
Act as a vocal and opinionated champion for the user experience. Advocate for user-centered design principles within the organization. Confidently challenge and influence cross-functional partners to embed user considerations in product decisions and ensure the user voice and UX vision remain at the forefront of our product strategy.
Leverage strong communication and compelling storytelling skills to inspire trust, clearly articulate design rationale in terms of business value and technical feasibility, and effectively align teams around your cohesive design strategy. Champion user-centric ideas with your stakeholders and ensure daily design work actively supports strategic business objectives.
Promote design excellence by leading, mentoring, and inspiring your team with your expert guidance, actionable feedback, and championing of best practices. Foster a collaborative environment that encourages experimentation, creativity, and continuous improvement. Actively explore new tools, methods, and approaches to elevate the design process and raise the bar for UX quality across teams.
Conduct and utilize user research to deeply understand our technical users. Proactively identifying user needs, pain points, and opportunities. Inform design decisions with insights from your research and validate your concepts through testing and feedback.
Deliver with grit and urgency and drive impactful results in a fast-paced environment. Demonstrate resilience in navigating ambiguity, proactively unblock challenges, maintain momentum, and ensure high-quality design outcomes in a dynamic environment.
Skills We’re Looking For
8+ years of experience in end-to-end Product Design with significant experience designing for data-heavy, complex, technical or developer-oriented SaaS/B2B products.
Extensive AI tool and development experience
Proven track record of leading major design initiatives.
Proven track record of leading and mentoring other designers.
Exceptional product design skills, including user research, UX/interaction design, information architecture, and high-fidelity prototyping.
Strong systems-thinking capability with the ability to navigate ambiguity and complexity and simplify highly technical workflows.
Excellent communication and stakeholder management skills with ability to articulate design decisions clearly to diverse audiences including engineers, product managers, and executives.
Comfortable balancing strategic vision with practical, hands-on execution.
Experience working in data integration, analytics, developer tools, or related technical fields is strongly preferred.
#LI-HYBRID #LI-DJ1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$223,987
—
$279,983.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos.
This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration.
This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
What You'll Do
Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety.
Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl.
Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs.
Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically.
Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities.
Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences.
What We're Looking For
Deep experience building AI-enabled product systems, not just running experiments.
Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries.
Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods.
Ability to work fluently across backend engineering, product constraints, and user workflow design.
Clear judgment about where agent systems should be flexible and where they should be constrained.
Comfort working in ambiguous environments where patterns are still being invented.
Why This Role Matters
The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team.
#LI-HYBRID #LI-DJ1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$251,835
—
$314,794 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Technical Program Manager on the Compute team, you will help drive the planning, coordination, and execution of programs that keep Anthropic's compute infrastructure running efficiently at scale. Our compute fleet is the foundation on which every model training run, evaluation, and inference workload depends.
You'll join a small, high-impact TPM team and take ownership of critical workstreams across the compute lifecycle, from how supply is procured and brought online, to how capacity is allocated and utilized across teams. The exact focus will depend on your strengths and the team's evolving needs.
You'll partner with Infrastructure, Systems, Research, Finance, and Capacity Engineering to shape the processes, tooling, and coordination mechanisms that allow Anthropic to move fast while managing an increasingly complex compute environment.
Responsibilities:
Own and drive critical programs across the compute lifecycle, coordinating execution across multiple engineering, research, and operations teams
Build and maintain operational visibility into the compute fleet, ensuring the organization has a clear picture of supply, demand, utilization, and health
Lead cross-functional coordination for compute transitions: bringing new capacity online, migrating workloads, and managing decommissions across cloud providers and hardware platforms
Partner with engineering and research leadership to navigate competing priorities and drive alignment on how compute resources are planned, allocated, and used
Identify and close operational gaps across the compute pipeline, whether through new tooling, improved processes, or better cross-team communication
Own trade-off discussions between utilization, cost, latency, and reliability, synthesizing inputs from technical and business stakeholders and communicating decisions to leadership
Develop and improve the processes and frameworks the team uses to plan, track, and execute compute programs at increasing scale and complexity
You may be a good fit if you:
Have 7+ years of technical program management experience in infrastructure, platform engineering, or compute-intensive environments
Have led complex, cross-functional programs involving multiple engineering teams with competing priorities and ambiguous requirements
Have experience working with research or ML teams and translating their needs into operational plans and technical requirements
Are comfortable diving deep into technical details (cloud infrastructure, cluster management, job scheduling, resource orchestration) while maintaining program-level visibility
Thrive in ambiguous, fast-moving environments where you need to define scope and build processes from the ground up
Have strong communication skills and can engage credibly with engineers, researchers, finance, and executive leadership
Have a track record of building trust with engineering teams and driving changes through influence rather than authority
Strong candidates may also have:
Experience managing compute capacity across multiple cloud providers (AWS, GCP, Azure) or hybrid cloud/on-premises environments
Familiarity with job scheduling, resource orchestration, or workload management systems (Kubernetes, Slurm, Borg, YARN, or custom schedulers)
Experience with GPU or accelerator infrastructure, including the unique challenges of large-scale ML training and inference workloads
Built or improved observability for infrastructure systems: dashboards, alerting, efficiency metrics, or cost attribution
Capacity planning experience including demand forecasting, cost modeling, or hardware lifecycle management
Scaled through hypergrowth in AI/ML, HPC, or large-scale cloud environments
Deadline to Apply:
None, applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$365,000 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: Riyadh, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia
Eram Talent is seeking a proficient
Master Data Management (MDM) Business Analyst - Informatica
to join our dynamic team. In this role, you will serve as a key liaison between business stakeholders and technical teams to ensure that Informatica-based MDM solutions effectively meet organizational data management needs.
You will be responsible for gathering and documenting business requirements, analyzing existing data processes, and collaborating with technical teams on solution design and implementation. You will also help in identifying data quality issues, facilitate data governance activities, and support ongoing MDM initiatives to improve data accuracy, consistency, and compliance.
If selected, the work location would be onsite at
Al Khobar.
Key Responsibilities
Collaborate with business stakeholders to understand their master data requirements, document data definitions, and analyze data structures for optimal data management.
Plan and execute data migration activities, including data mapping, data extraction, transformation, and loading (ETL) processes, during system upgrades or platform transitions.
Ensure compliance with data security and privacy regulations, implement access controls, and monitor data usage to protect sensitive master data.
Conduct thorough analysis of existing master data sets to identify discrepancies, anomalies, and opportunities for improvement, providing actionable insights to stakeholders.
Develop and generate reports, dashboards, and data visualizations to provide insights into master data quality, trends, and performance, supporting decision-making processes.
Facilitate change management activities related to master data management initiatives, including communication, training, and stakeholder
Develop and enforce master data governance policies, standards, and processes to ensure data quality, consistency, and compliance with regulatory requirements.
Collaborate with business users and IT teams to map data sources, define data hierarchies, and create data models that support effective master data management.
Define and implement data standardization rules and processes to harmonize master data elements across disparate systems and business units.
Coordinate the integration of master data management solutions with existing enterprise systems, ensuring seamless data flow and interoperability.
Requirements
Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required
5+ Years of Work Experience as a Master Data Management (MDM) Business Analyst or similar role is required.
Certified Data Privacy Solutions Engineer (CDPSE) preferred
Certifications in MDM or Informatica is highly preferred.
Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred
Proven experience as a Business Analyst, specifically in Master Data Management (MDM).
Strong understanding of MDM principles, data governance, and data quality management.
Experience with MDM tools (e.g., Informatica, SAP MDG, Oracle) is a plus.
Excellent analytical and problem-solving skills.
Strong communication and interpersonal skills to effectively engage with stakeholders.
Location: London
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transport, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As
Commercial Director, UK & Nordics
at Via, you will be the driving force behind how cities rethink and deliver public transport. You’ll own Via’s commercial strategy in the region, lead the full end-to-end sales cycle, and build lasting partnerships with authorities, transport operators, and key public and private-sector leaders. Our Partnerships team combines hands-on execution with strategic thinking to help communities move more efficiently, sustainably, and equitably, while delivering on revenue targets and positioning Via as a trusted partner and visible voice across the mobility ecosystem.
About the Role:
Lead the full-cycle commercial strategy across the UK & Nordics, from identifying and engaging prospective partners to structuring, negotiating, and closing complex, multi-stakeholder deals
Build trusted, long-term relationships with decision-makers, from elected officials and
transport authorities
to transport operators, positioning Via as a strategic partner and helping cities and regions turn mobility ambitions into tangible systems.
Navigate complex regional buying landscapes by leveraging Via’s full platform, including
Citymapper
and
Remix
, to develop evidence-based business cases that demonstrate value to cities and regions, unlock funding, and bring regional transit plans to life.
Act as a thought partner to councils and regions, advising on network design, funding mechanisms, and implementation strategies that ensure communities benefit from more efficient, sustainable, and equitable transportation (E.g.
Milton Keynes
and
WECA
)
Represent Via externally in your market, championing our mission and technology through local marketing efforts, conferences, and thought leadership: showing stakeholders how
innovative mobility
can shape the future of urban living.
About You:
10+ years of experience closing complex, consultative deals in sales, business development, or strategy (ideally in enterprise, government, infrastructure, or tech-enabled services)
A track record of winning complex, multi-stakeholder deals where outcomes are driven by trust and influence
Strong analytical and storytelling skills; you know how to turn data, policy, and customer needs into a clear, compelling commercial narrative
Curious, resourceful, and comfortable in ambiguity: you don’t wait for perfect information to start moving
A natural leader with excellent judgment: you know when to push, when to listen, and when to rethink the strategy
You thrive in high-ownership environments where you’re trusted to run your market like it’s your own business
Experience in transportation, mobility, or public-sector sales is a big plus, but not a requirement
What We Offer
Becoming part of a company that was awarded for its commitment to social good
Competitive compensation including variable pay and equity
A hybrid working model and a spacious office near Chancery Lane where you can enjoy weekly team lunches
Comprehensive benefits package, including generous paid parental leave, and health scheme offered through AXA
Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents
Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI)
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
#LI-RB1 #LI-Hybrid
Must be based in Netherlands
Must be based in Japan
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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