Location: Ireland
Overview
Smartling is seeking a Business Development Representative for a remote, work from home position, based in Ireland. Smartling’s Business Development team is a group of highly motivated sales professionals whose focus is to source and engage with high-potential prospects. As the first point of contact with potential customers, you will qualify active buying interest and be a critical part of the bridge between marketing and sales to ensure new customer acquisition is consistent, high quality, and frictionless.
Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked
#3 on Fast Company's Most Innovative Companies list
. We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started.
What’s in it for you
Become a business representative via regular and structured coaching and training
Be a part of an ambitious and highly motivated team
You will learn vital prospecting skills and be a champion in discovery calls with prospects
Develop your core foundation and launch your career as a SaaS sales professional
Work in a fast-paced technology company
Sales performance incentives for fun (SPIFFs!)
You Will
Work alongside marketing and sales to source and engage with high-potential prospects and companies
Develop and execute outreach strategies via email, zoom and social channels
Generate curiosity with potential customers by clearly articulating Smartling’s value proposition
Act as a consultative partner for potential customers; fielding questions and handling objections
Once prospects have been qualified and a fit has been identified, execute a hand-off to Account Executives
Diligently record and manage prospect and company information in Salesforce.com
Become a Smartling expert, maintaining an in-depth knowledge of the product, competitive positioning and industry trends
Be a Smartling ambassador at industry events and conferences
You Have
Interest in sales as a career
Track record of top performance in a competitive environment
A natural passion and curiosity for the fast-paced technology
Clear communicator with a deep sense of empathy
A self-starter who loves problem solving and teamwork
Excellent written communication skills
Bachelor’s degree or equivalent work experience
1 year customer-facing experience
A home office setup conducive for working remotely, and the ability to work effectively as a remote team member*
Preferred but not required
Working knowledge of sales and marketing tools e.g. Salesforce.com, LinkedIn, Outreach
Prior experience within a fast-paced technology company
You Are
Results-focused.
Motivated, hard-working and ready to level up to your career goals
Curious:
You’re a “forever learner” with an insatiable desire to gain new skills and knowledge
Enthusiastic
. A fun and energetic co-worker
Customer-focused.
Passionate for client success at all times
Detail-oriented
. Have excellent time management and organizational skills
A team-player
. Who gets excited by a fast-paced, high-energy environment
You Will Enjoy
Freedom
🏡- we are remote-first
Growth
- an opportunity to learn and advance your career
Wealth
💰
- we offer a competitive salary
Wellness
- company-sponsored Health insurance plan & pension plan with company matching
Balance
- flexible PTO + 10 bank holidays! Generous parental leave
Culture
🤝- an energetic, value-driven, and fun culture and team spirit
Bonus
- employee referral programs and Apple equipment
Smartling is proud to be an equal opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences.
*To work from home, you must have a strong internet connection, quiet space, and a professional (distraction and clutter-free) background.
To all recruitment agencies: Smartling does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias or Smartling employees. Smartling is not responsible for any fees related to unsolicited resumes.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book.
You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs.
This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own.
Responsibilities:
Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed
Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly
Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback
Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no
Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate
Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many
Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB
Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering
Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking
Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier
You may be a good fit if you:
Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams
Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work
Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book
Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership
Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face
Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one
Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go
Have strong executive presence and can build trust with technical and business leaders alike
Have a genuine passion for making powerful technology safe and societally beneficial
Strong candidate may have:
Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch
Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500
Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them
A visible technical presence through conference talks, written content, or open-source contributions
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:
$315,000
—
$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.
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: Remote
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in.
If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
WHY BOX NEEDS YOU
Box is looking for a Business Systems Analyst III (Marketing Systems) to join our Enterprise Systems team to own and scale critical Marketing technology platforms, with a primary focus on Iterable and TrustArc. This role partners closely with Marketing Operations teams to deliver scalable, compliant, and data-driven solutions that support Box’s go-to-market strategy.
As a BSA III, you will independently drive medium to high-complexity initiatives, act as a subject matter expert for assigned platforms, and serve as a trusted advisor to business stakeholders. You will influence the marketing systems roadmap, balance run-the-business support with strategic initiatives, and ensure solutions align with long-term platform scalability and compliance requirements.
WHAT YOU'LL DO
Serve as the primary BSA owner for Marketing platforms, with deep ownership of Iterable and TrustArc
Partner with Marketing Operations, to provide consultative guidance on system capabilities, limitations, and best practices
Independently lead end-to-end delivery of marketing technology initiatives, including discovery, requirements definition, backlog management, UAT coordination, and go-live readiness
Translate complex marketing, data, and compliance requirements into clear functional specifications and user stories
Design and support data integrations and pipelines using SnapLogic, collaborating closely with Engineering and Data teams
Use SQL to analyze data, validate integrations, troubleshoot issues, and support marketing reporting and segmentation needs
Evaluate current-state processes, perform fit-gap analysis, and recommend scalable, compliant marketing solutions
Collaborate in an agile delivery model with Enterprise Systems, Engineering, Data, and external vendors to ensure high-quality outcomes
Manage and prioritize run-the-business work, including enhancements, defects, and operational issues
Contribute to the Marketing Systems roadmap, providing input on effort estimation, dependencies, and delivery sequencing
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
Bachelor’s degree in Computer Science, Engineering, Business, Economics, or a related field
3+ years of Business Systems Analyst experience supporting enterprise applications
Experience with Marketo , including marketing automation, campaign management, and Salesforce integration.
Strong hands-on experience with Iterable, including campaigns, journeys, segmentation, data ingestion, and integrations
Experience supporting TrustArc or similar consent and privacy platforms in a marketing or data environment
Proven experience with SnapLogic, including designing, supporting, or troubleshooting integration pipelines
Strong SQL skills for data analysis, validation, and issue resolution
Solid understanding of lifecycle marketing, customer engagement, and marketing automation workflows
Demonstrated ability to independently own techno-functional deliverables across analysis, design, testing, and deployment
Strong stakeholder management and communication skills
Preferred skills:
Experience with additional MarTech, cloud computing or CDP platforms such as GCP, Segment, Marketo.
Familiarity with event-based tracking, customer data platforms, and downstream analytics
Experience in a SaaS, B2B, or high-growth technology environmen
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete
this form
. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided
here
.
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice.
If you are a California-resident, please read our California Applicant & Candidate Privacy Notice
here
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Box is committed to fair and equitable compensation practices. Actual base salary is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our
benefits and perks
.
In accordance with OFCCP compliance, here is the
Pay Transparency Provision
.
United States Pay Range
$110,500
—
$138,000 USD
Location: Remote - Bengaluru, India
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
We are seeking a highly technical, visionary, and customer-centric Field CTO to act as our premier technical ambassador. In this role, you will bridge the gap between MinIO’s engineering innovation and the strategic business needs of our largest, most complex enterprise customers.
As a Field CTO, you will engage in peer-to-peer conversations with enterprise C-suites (CIOs, CTOs, CDOs) and lead architectural discussions with principal engineers. A deep, hands-on understanding of modern AI architectures (LLMs, RAG, deep learning pipelines) and modern analytics data systems (Iceberg, Delta Lake, Trino, Spark) is mandatory. You will not only evangelize MinIO’s capabilities but also act as a trusted advisor, helping organizations architect their data infrastructure to support next-generation workloads.
What You Will Do
Executive Advisory & Evangelism:
Act as a trusted technical advisor to C-level executives at Fortune 500 companies. Articulate the strategic value of high-performance object storage in the context of AI readiness and data democratization.
Architectural Leadership:
Design and validate complex, large-scale architectures for enterprise customers. Guide them in integrating MinIO seamlessly into their AI/ML pipelines and modern data lakehouse ecosystems.
Industry Thought Leadership:
Represent MinIO at major industry conferences, webinars, and meetups. Write technical whitepapers, reference architectures, and blog posts focusing on the intersection of object storage, generative AI, and modern analytics.
Pre-Sales & Post-Sales Strategic Support:
Partner closely with enterprise sales and customer success teams on high-stakes deals. Unblock technical objections and provide strategic guidance during Proof of Concepts (PoCs) and large-scale deployments.
Product Strategy Feedback Loop:
Serve as the "voice of the customer" to MinIO’s product and engineering teams. Distill market trends, customer pain points, and emerging AI/Analytics patterns into actionable product requirements.
Required Qualifications
10+ years of experience in technical leadership roles (e.g., Enterprise Architect, Chief Architect, VP of Engineering, or previous Field CTO).
Demonstrated experience in a customer-facing or evangelist capacity, successfully presenting to both highly technical audiences and C-level business executives.
AI & Machine Learning Architectures:
Deep architectural understanding of
Generative AI and Large Language Models (LLMs)
, including Retrieval-Augmented Generation (RAG) workflows and vector databases (e.g., Milvus, Qdrant, Pinecone).
Strong knowledge of
AI/ML data pipelines
and frameworks (PyTorch, TensorFlow, Ray, Hugging Face).
Understanding of hardware bottlenecks in AI, specifically the challenge of feeding data to GPUs (GPU data starvation) and how high-throughput storage solves this.
Modern Analytics & Data Systems:
Expertise in
Open Table Formats
(Apache Iceberg, Apache Hudi, Delta Lake) and their integration with object storage.
Proficiency with
modern query engines and compute frameworks
(Trino, Presto, Apache Spark, Flink, StarRocks).
Solid grasp of the evolution from traditional data warehouses to modern Data Lakehouse architectures.
Infrastructure & Cloud-Native Tech:
Strong command of Kubernetes, containerization, and cloud-native orchestration.
Deep understanding of the AWS S3 API, RESTful APIs, and distributed systems design.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Annapolis, MD
Title:
Clinical Supervisor
Job Code:
000747
FLSA Status:
Non – Exempt
Reports To
: Clinical Director - Nursing
Position Objective
The Clinical Supervisor directly supervises staff and is a clinical expert practitioner specific to the unit at education/staff development functions as well as designated management functions to promote high quality, cost effective health care.
This position has authority to perform supervisory duties including but not limited to hiring, evaluating performance, issuing final disciplinary actions under the review of Human Resources, and recommending discharge in collaboration with members of management and Human Resources
Essential Functions
1.
1.
Clinical Decision Making/Judgment
·
Demonstrates expert clinical knowledge and skill in the specialization of the unit or initiative.
·
Provides for the coordination of patient care throughout the continuum for areas of responsibility.
·
Serves as an expert clinician, acting as a clinical resource for the staff.
·
Works collaboratively with other disciplines in problem analysis and resolution for pathways, protocols
·
And patient care delivery.
·
Expertly organizes and reprioritizes patient care activities based on subtle and overt and/or environmental changes.
·
Assists others in prioritizing patient care.
2.
2.
Nurse-Patient Family Relationships
·
Expertly provides direct patient care to patients and families in a culturally, developmentally and ethically appropriate manner.
·
Demonstrates expert skill in managing and planning care for complex patient/family scenarios including physical, psychosocial, spiritual and learning needs of the patient/family.
3.
3.
Clinical Scholarship
·
Effectively performs and improves all processes in order to achieve excellence with regard to AAMC’s quality standards and benchmarks.
·
As part of unit leadership, collaborates in developing, monitoring and changing practice as a result of performance improvement initiatives.
·
As part of unit leadership, collaborates to provide direction for staff development activities and orientation programs and staff meetings
·
Member of a professional organization specific to unit/initiative.
·
Maintains certification in specialty.
·
Supports Evidence Based Practice in clinical specialty to guide nursing practice, development of plans of care and interventions.
4.
4.
Clinical Leadership
·
Demonstrates the ability to enhance skills and performance of others in order to achieve professional and organizational goals. The competency is demonstrated by systematically providing clear objectives, performance-specific feedback, effective coaching and developmentally experience/opportunities.
·
Demonstrates the ability to optimize utilization of staff, matching staff talents and proficiencies to organizational needs in making, evaluating and reorganizing patient care assignments.
·
As part of unit leadership, manages daily operational throughout process in collaboration wth other unit leaders, Administrative Coordinator, Care Management, other nursing unit and support services to include room assignments, rounds/huddles, transfers/discharges. Bed Board, full capacity protocol initiation, and effective communication with other disciplines and departments.
·
As part of unit leadership is responsible for review and implementation of the Joint Commission standards in collaboration with other unit leaders, including participation in Tracers.
·
Fosters interdisciplinary collaboration by chairing or serving as a representative for nursing on hospital-wide and service line committees and/or councils.
·
As part of unit leadership, participates in goals setting and prioritization.
·
As Unit Supervisor, is responsible for human resource management including but not limited to staffing and scheduling, performance evaluation, disciplinary action, orientation/development, and staff selection.
·
Educates and precepts new staff.
·
Demonstrates competency in computer documentation when completing patient records and serves as a resource.
·
Participates in fiscal management of unit to include ParEX oversight, managing repair requests and follow up for broken equipment, evaluation of new equipment and daily management of schedule to insure appropriate staffing levels for volume and acuity.
Knowledge/Experience:
Required Minimum Education:
BSN
Preferred:
MSN
Required Minimum Experience:
3 years as an RN in specialty related field
Required License / Certification:
Maryland RN license
BLS
Where applicable, specialty certifications are required by entity and must be obtained within 12 months of hire.
Working Conditions/Physical Requirements:
Medium
Medium work.
Exerting up to 50 pounds of force occasionally, and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to move objects.
There is reasonable expectation that employees in this position will be exposed to blood-borne pathogens.
Pay Range
$40
—
$60 USD
Luminis Health Benefits Overview:
• Medical, Dental, and Vision Insurance
• Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year)
• Paid Time Off
• Tuition Assistance Benefits
• Employee Referral Bonus Program
• Paid Holidays, Disability, and Life/AD&D for full-time employees
• Wellness Programs
• Employee Assistance Programs and more
*Benefit offerings based on employment status
Opt-in for text notifications!
Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone.
To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time.
Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.
Location: Remote, United Kingdom
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike.
What you’ll do
Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing.
Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
Collaborate with
Product
,
Development
,
Infrastructure
,
Customer Success
, and
Sales
teams to drive bug fixes, influence feature development, and help shape product goals and roadmap.
Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them.
Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently.
Partner closely with Support Engineering team members through
pairing sessions
and
stable counterpart
relationships to share knowledge and solve problems together.
Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews.
What you’ll bring
Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers.
Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides.
Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains.
About the team
The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our
company roadmap
and
meetings
to see what we are working on at any time.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote - USA
At Clover Health, we are committed to providing high-quality, affordable, and easy-to-understand healthcare plans for America’s seniors. We prioritize preventive care while leveraging data and technology through the Clover Assistant, a powerful tool that helps physicians make informed health recommendations. By giving doctors a holistic view of each member’s complete health history, we ensure better care at a lower cost—delivering the highest value to those who need it most.
The Finance organization owns product strategy and bid development, long term profitable growth strategy and new market evaluation and execution, and strategic projects. In this role, you will report to the Chief of Staff to the CFO.
Clover Health is seeking a dynamic, strategic, and highly analytical leader to join our team as the Senior Manager, Medicare Product & Market Intelligence. This pivotal role is responsible for long-term profitable growth strategy, bid strategy and pricing, AEP planning, and execution of strategic projects.
Reporting to the Chief of Staff to the CFO, this role will lead the development and execution of Medicare growth, product, and bid strategies, bringing together financial, market, operational, and competitive insights to influence enterprise decisions. The Senior Manager will frame strategic options, recommend tradeoffs, and align cross-functional leaders around plans that support profitable growth.
This is an ideal opportunity for a strategic thinker who excels at complex problem-solving and can translate data into actionable, market-specific plans, and execution.
As a Senior Manager, Medicare Product & Market Intelligence, you will:
Bid Strategy & Program Management: Lead the annual bid development process, ensuring alignment between strategic goals, financial targets, and benefit design. Define the PBP-specific strategy considering positioning, growth potential, MCR targets, and service area. Recommend innovative supplemental benefit offerings.
Competitive Intelligence: Build and lead Clover’s competitive intelligence capability, integrating competitor enrollment, benefit design, pricing, market strategy, and broader industry trends into recommendations that shape product, bid, and market decisions. Develop scalable, AI-enabled tools and frameworks that enable ongoing use across the organization.
Product Strategy: Evaluate the performance and strategic fit of the product portfolio. Develop and present data-driven recommendations for product enhancements, repositioning, or new plan launches to achieve profitable growth.
Benefit Strategy: Shape detailed strategy for benefit changes, partner with Actuarial on financial impact and Growth team on sales impact and competitive positioning.
P&L Modeling: Develop and interpret multi-year scenario models to forecast membership growth and financial performance and inform long-term strategic decisions.
New Market Evaluation and Execution: Drive evaluation of new geographic markets. Develop and execute the playbook for market entry, defining resource needs, key milestones, and cross-functional ownership from initial analysis to operational launch (network adequacy, bid strategy, growth execution).
Performance Reporting: Oversee analysis and preparation for monthly business reviews in partnership with the Chief of Staff.
Special Projects: Lead the evaluation and strategy development for innovative partnerships and other priority growth initiatives. Execute and own projects end to end, from recommendation through implementation.
Success in this role looks like:
Successfully leading the annual bid process in partnership with the Chief of Staff, delivering a competitive and financially sound product portfolio that supports profitable membership growth.
Acting as a SME with Clover’s and competitor’s benefits, and working cross-functionally with Actuarial, Finance, Growth, and Operations to implement benefits.
Owning the development and launch of new, scalable AI-enabled tools and reports that provide actionable competitive intelligence to leadership and key business partners.
Creating robust enrollment and financial models that directly inform and influence the company's long-term growth strategy, including decisions on product design and new market entry.
You should get in touch if:
Bachelor’s degree in Finance, Economics, Business, Healthcare Administration, or a related field; MBA or other advanced degree highly preferred.
7-10+ years of experience in strategic planning, corporate development, finance, or management consulting, with a strong preference for experience within the Medicare Advantage or managed care industry.
Exceptional quantitative analysis skills; ability to build and manage high level multi-year financial and membership scenario models.
Deep understanding of Medicare Advantage economics, bid mechanics, and the drivers of profitable growth. Deep understanding of Medicare benefits and pricing.
Demonstrated experience leading market expansion or new product development projects from concept to execution.
Proven ability to analyze competitor strategies and market trends to inform business decisions.
Excellent project management skills and experience leading large-scale, cross-functional initiatives.
Outstanding communication and presentation skills, with the ability to distill complex information into clear, actionable insights for an executive audience.
A proactive, results-oriented mindset with the ability to thrive in a fast-paced, dynamic environment.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Reimbursement for office setup expenses
Monthly cell phone & internet stipend
Remote-first culture, enabling collaboration with global teams
Paid parental leave for all new parents
And much more!
About Clover:
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-REMOTE
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$129,200
—
$168,000 USD
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike.
What you’ll do
Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing.
Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
Collaborate with
Product
,
Development
,
Infrastructure
,
Customer Success
, and
Sales
teams to drive bug fixes, influence feature development, and help shape product goals and roadmap.
Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them.
Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently.
Partner closely with Support Engineering team members through
pairing sessions
and
stable counterpart
relationships to share knowledge and solve problems together.
Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews.
What you’ll bring
Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers.
Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides.
Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains.
About the team
The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our
company roadmap
and
meetings
to see what we are working on at any time.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$126,400
—
$213,600 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds.
As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are.
What you'll do
Our work splits into two workstreams, and we need your help across both.
Portable infrastructure.
We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in.
Claude on partner clouds.
We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them.
Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice.
You might be a good fit if you:
Have a minimum of 8 years of practical experience building and operating production distributed systems
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production
Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible
Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers
Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust)
Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi)
Understand ML infrastructure and supporting interconnects
Ship software through hyperscaler marketplaces or managed-model platforms
Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Ciudad de México, Mexico
Workplace: hybrid
Location: Mexico City (Hybrid for Mexico location and remotely for others locations) |
Department: Strategy D&A Office
Company: NOVACARD
Be part of NOVACARD’s transformation into a truly data-driven fintech.
We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management.
Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning.
📝 What You’ll Do – Responsibilities:
📈 Drive Strategic Analytics
· Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn.
· Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods.
· Identify growth drivers, operational inefficiencies, and levers for strategic improvement.
· Provide analytical support for strategic planning, quarterly targets, and investment prioritization.
🧠 Lead Data-Driven Transformation
· Design and implement a framework for data-driven decision-making across departments.
· Establish standardized KPI definitions, reporting hierarchies, and accountability chains.
· Support leadership in translating business goals into measurable data objectives.
🧩 Build Data Governance Framework
· Coordinate creation and maintenance of core governance artifacts:
· Metadata descriptions
· Enterprise Data Catalog
· Data Lineage (technical and business flow mapping)
· Business Glossary (data stewards and owners register)
· Data Quality Rules & Profiling metrics
· Data Observability & Monitoring dashboards
· Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows.
🔍 Maintain Data Quality & Trust
· Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy.
· Investigate data anomalies and drive root-cause analysis with responsible teams.
· Build automated data quality and observability processes within DWH and reporting layers.
🧪 Run Strategic Experiments
· Design and analyze A/B and multivariate tests supporting product and business hypotheses.
· Measure incremental impact of product, pricing, and communication changes on key business metrics.
· Apply statistical rigor to evaluate significance and scalability of experimental results.
📊 Deliver Executive Insights
· Develop dashboards and reports that translate complex data into actionable recommendations for management.
· Support financial planning, forecasting, and scenario analysis with data-driven models.
· Ensure consistent alignment between operational KPIs and strategic company goals.
🤝 Cross-Functional Collaboration
· Act as an interface between Strategy, Product, Data, and Finance teams.
· Promote data stewardship culture and educate teams on proper data usage and governance principles.
· Facilitate adoption of data-governance tools and processes across the organization.
📝 Regular Tasks:
· Maintain financial and operational KPI dashboards in Power BI (or similar).
· Conduct deep-dive analyses on acquisition, retention, and monetization metrics.
· Support management in quarterly OKR reviews with analytical insights and forecasts.
· Curate metadata, lineage, and glossary entries for critical datasets.
· Track implementation of governance policies and compliance with data ownership model.
· Evaluate effectiveness of data quality monitoring tools and workflows.
· Prepare and present analytical materials for leadership and board-level reviews.
💻 Skills & Tools:
✅ SQL – advanced level for analytics and governance queries.
✅ Python – for modeling, statistical analysis, and data validation.
✅ Power BI (or similar- Tableau, Looker etc) – for data storytelling and executive reporting.
✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc.
✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.).
✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis.
✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling.
🌟 Soft Skills:
🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives.
🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes.
📋 Project Management – coordinates cross-team governance initiatives.
🔎 Critical Thinking – detects weak points in data logic and decision frameworks.
🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT.
🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.
Location: Houston, Texas, United States
At Clover Health, we are committed to providing high-quality, affordable, and easy-to-understand healthcare plans for America’s seniors. We prioritize preventive care while leveraging data and technology through the Clover Assistant, a powerful tool that helps physicians make informed health recommendations. By giving doctors a holistic view of each member’s complete health history, we ensure better care at a lower cost, delivering the highest value to those who need it most.
We’re looking for a CX Performance and Enablement Manager to own the systems, data, and quality programs that allow our Houston Member Engagement Center to perform at its best. Reporting to the Director, you will lead Quality Assurance and Workforce Management and hold functional oversight of Operational Improvements, Product, Tools, and AI Champion work for the center. You will make sure the right people are scheduled at the right time, every interaction is measured and coached to a consistent standard, and the center’s tools and processes keep getting better.
Our member experience center operates between
8:00am and 8:00pm local time
. Coverage planning must support these hours on a rotating basis, including weekend coverage during our peak season:
Monday–Friday (April 1 – October 1)
Monday–Sunday (October 1 – March 31)
As our CX Performance and Enablement Manager, you will:
Quality Assurance
Lead the QA team, including the QA Lead and QA Analysts, and own the Houston QA program, rubric, and scoring standards.
Ensure the team completes the required number of QA evaluations each week and month, with consistent coverage across agents, supervisors, and call types.
Run regular calibration sessions with supervisors, trainers, and QA to keep scoring consistent and fair.
Report QA results and trends to leadership and partner with supervisors and Learning & Development to turn findings into coaching and training.
Workforce Management
Own forecasting, scheduling, and real-time management so the center has adequate coverage for every use case, seven days a week.
Plan for holidays, peak season, planned and unplanned absences, PTO, and campaign-driven volume, and adjust staffing and schedules proactively.
Balance inbound call volume against outbound campaign demand in partnership with the Senior Manager.
Measure and improve forecast and coverage accuracy; publish intraday and weekly staffing reports and flag gaps early.
Maintain schedule adherence and attendance definitions and reporting (including breaks, lunches, and exceptions) used by supervisors.
Functional oversight
Operational Improvements:
Identify, prioritize, and lead process improvements that reduce handle time, errors, and rework and improve the member and agent experience. Document processes and track the impact of changes.
Product:
Act as the center’s voice to Product and Engineering. Gather and prioritize agent and member feedback, write requirements, test releases, and communicate product changes to the floor.
Tools:
Own the center’s toolset, including telephony and CRM, WFM, QA, and reporting tools. Manage configuration, access, vendor and IT relationships, KPI definitions and dashboards, and data accuracy.
AI Champion:
Lead the center’s use of AI. Identify and pilot use cases, support responsible adoption by agents and supervisors, train the team, measure results, and partner with compliance and IT on governance.
Leadership and Partnership
Partner with the Director, Senior Manager, supervisors, Learning & Development, and teams outside Member Engagement to translate data into action.
Hire, coach, and develop your direct reports and build clear ownership and documentation for each functional area.
Success in this role looks like:
QA evaluations completed
per week and per month
WFM accuracy:
adequate coverage for all use cases, seven days a week, including holidays, absences, and peak periods
Product Prioritization List:
Comprehensive and product prioritization list with completed items every quarter and is up to date.
AI Enhancement List: AI functionality deployments that show efficiency gains every quarter and up to date list.
You should get in touch if:
You have 5+ years of experience in a contact center environment, including hands-on experience in quality assurance, workforce management, or operations, and 2+ years leading a team.
You have experience with forecasting, scheduling, and real-time management tools, and with QA programs, rubrics, and calibration.
You are comfortable owning tools, process improvement, and product feedback, and translating data into clear recommendations.
You are curious about AI and have experience introducing new technology to frontline teams.
You have excellent analytical, written, and verbal communication skills and work well with senior stakeholders.
You have bilingual proficiency in English and Spanish is a plus.
Benefits Overview
:
Financial Well-Being
: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions.
Physical Well-Being
: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare.
Mental Well-Being
: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
Professional Development
: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.
Additional Perks:
Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
Paid parental leave for all new parents
And much more!
About Clover:
We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most.
We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare.
From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility.
#LI-HYBRID
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an
E-Verify
company.
Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.
A reasonable estimate of the base salary range for this role is:
$107,700
—
$140,000 USD
Location: Atlanta
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
We are looking for a seasoned underwriter with a background in payments, due diligence, and financial analysis to join our Platforms Underwriting team in Atlanta.
You will be part of a team that is responsible for underwriting applications for customers utilizing Checkout.com http://Checkout.com’s solution for platforms, primarily Payment Facilitators, Marketplaces, and Staged Digital Wallet Operators. This team focuses on analysis relevant to Customer Due Diligence, Enhanced Due Diligence, Business Model, Credit, and Financial Analysis.
This role offers unique exposure to our core business areas, collaborating closely with our key internal players (Commercial, Compliance, Risk, Legal teams and Senior Management) and our high-value merchants and partners.
How you'll make an impact
- Conduct business model analysis and a holistic assessment of a customer’s risk profile, leveraging your proficient-level understanding of the risks and requirements of different Platform models (ISVs, Payfacs, Marketplaces, Staged Digital Wallets, MORs).
- Conduct customer due diligence and enhanced due diligence analysis on prospective customers including KYC, KYB, PEP, Sanctions, and Adverse Media screening.
- Conduct expert-level analysis of P&L, balance sheet, and cash flow statements of Platform models and other high-risk sectors.
- Prepare persuasive summaries to internal stakeholders and risk committees, identifying mitigants and making balanced recommendations for each deal.
- Represent the Platform Underwriting team in leading and attending customer calls and meetings alongside Sales or Account Managers.
- Approve individual credit submissions in line with approval authority.
- Identify operational issues and areas for improvement, and make detailed recommendations on how to improve the merchant onboarding experience.
- Act as a mentor to new or junior team members through training initiatives and credit approvals.
- Foster a culture of collaboration with key internal stakeholders, in particular Sales/Account Managers, and first and second line Risk and Compliance personnel and Legal.
- Contribute to department and cross-functional projects/initiatives as required.
What we’re looking for
- Proficient-level understanding of Checkout's Platform product offering, including features and limitations, and the ability to independently classify different Platform models.
- Expert-level financial statement analysis and credit exposure assessment ability.
- Demonstrated ability to make sound judgments, balancing risk and reward.
- Competent escalation management, acting with urgency to ensure escalations are prioritized, owned, and resolved effectively.
- Ability to continually monitor and independently manage competing priorities and adjust accordingly without impact to SLA attainment.
- Excellent written and interpersonal communication skills, with concise presentation skills and the ability to deliver complex messages clearly.
- A passion for operational improvement initiatives and the ability to contribute to broader department initiatives and projects.
- Possess a ‘customer first’ approach to delivering creative solutions.
Experience you'll bring to the role
- 6+ years of direct experience related to financial analysis or merchant underwriting.
- 5+ years of work experience related to due diligence, merchant underwriting, or equivalent underwriting work.
- Demonstrable experience related to customer due diligence, enhanced due diligence, merchant underwriting, credit insurance, and/or commercial lending.
- Subject matter expertise in AML/CTF and/or underwriting and financial analysis.
- Domain expertise within the payments or Fintech industry will be preferable.
- Previous experience coaching or mentoring is desirable.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform.
Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on.
What you'll do
Scale the platform.
Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production.
Evolve the harness — and prove it with evals.
The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude.
Help builders get the most out of Claude.
Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely.
Design APIs that outlast their implementations.
Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer
Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost
Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains
Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings
Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good
Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship
Care about building systems that other engineers and businesses love to use, and about doing so safel
Strong candidates may also have:
Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination
Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization
Built evaluation or benchmarking infrastructure for LLM or agent systems
Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes
Shipped public developer platforms, APIs, or SDKs used by external developers at scale
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box.
The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both.
What you'll do
Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more.
Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently.
Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments.
Take full ownership of your work—from design through deployment and operations
Are proficient in Python, Go, Rust, or similar systems language
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY or the Bay Area given the current location of team.
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: San José, Costa Rica; Quito, Ecuador
Workplace: hybrid
About Aleph
Aleph is a global leader accelerating digital advertising, and fintech solutions across more than 130 high-growth markets. With more than 20 years of experience and strategic partnerships with over 50 of the world's leading digital platforms, Aleph connects media, payments, and local market expertise to enable platforms and businesses to grow and operate globally with speed and compliance. With teams in more than 90 offices worldwide, Aleph combines global scale with deep local execution. Beyond business impact, Aleph drives digital inclusion through its education initiative, Digital Ad Expert, member of UNESCO’s Global Skills Academy.
About the Role
We are looking for a Client Solutions Manager to strengthen our team in Costa Rica, where you will represent TikTok in the local market. In this role, you will target brands and media agencies (agencias de medios) to get them to adopt TikTok for their online marketing campaigns.
If you’re passionate about digital marketing, have a data-driven mindset, and have a proven track record in media, don’t hesitate to reach out to us.
What You Will Do
Participate in strategic planning to grow or generate new business opportunities.
Act as a consultant for top key accounts.
Be the primary point of contact (POC) for client campaign management and timely reporting.
Provide actionable insights on campaign performance (products, budget, creatives vs. KPIs, delivery).
Ensure SLA adherence for excellent client service.
Optimize accounts for increased spend and manage reservation projects.
Drive product and company education, and share best practices with clients and agencies.
Collaborate with cross-functional teams on creative ad solutions that deliver business results.
Be the premium contact for the Sales team.
Support client and agency education on product solutions to grow business and manage key relationships.
Maximize ROI through optimization and upselling, supported by client reports.
Manage large customer relationships and drive business decisions through conflict resolution.
Provide feedback to product and tools teams to help scale the platform.
Organize account information, assets, data, and reports.
Maintain campaign records, schedules, and ad placement availability.
Ensure accurate ad specs and rates, and take responsibility for campaign reporting and optimization.
What We Are Looking For
At least 4 years of experience in client relationship management and digital media.
Advanced English skills.
Bachelor’s degree in Advertising, Marketing, Business, or Tech.
Deep understanding of the digital landscape and a passion for social media.
Experience managing campaigns across digital platforms and ad tech products.
Intimate familiarity with online media planning, design, and art control of advertising pieces.
Strong communication and people skills (working directly with clients).
Detail-oriented, with exceptional organizational skills.
Aptitude, creativity, and a preference for working in collaborative teams and across business units.
Strong time management and problem-solving skills.
Ability to multitask under challenging deadlines while staying focused on details.
Why Join Aleph
Impact: Be the face of TikTok in the Costa Rican market and help brands and agencies adopt the platform for their marketing campaigns.
Growth: Aleph gives its internal talent room to learn, take on bigger scope, and grow together across a global organization.
Team culture: Join a place of many cultures, perspectives, and talents, where people support each other and communication and partnership come first.
Market context: Work in an industry that changes constantly, where curiosity keeps you learning and new opportunities are always opening up.
Flexibility: A hybrid setup (2 days per week in the San José office) that balances collaboration and focus time.
We use Lever, our recruitment management platform, which includes AI-powered features that may assist our hiring team in reviewing applications, analyzing CVs, and identifying relevant qualifications. These tools support, but do not replace, human judgement. All hiring decisions are made by people. For more information about how your personal data is processed, including your rights in relation to AI-assisted processing, please see our Candidate Privacy Policy or contact us at privacy@alephdigital.com.
“Share our similarities, celebrate our differences.” – M. Scott Peck
#ALEPH
Location: United States (Remote)
Workplace: Remote
ABOUT ONEPAY
OnePay is the consumer fintech trusted by millions of Americans to make money better.
Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast.
We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers.
We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining.
But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are:
- Ready to run
- Hungry and driven by urgency
- Exceptional at what they do, with low ego
- Comfortable operating in motion
The Role
As a member of the analytics team, you bring order to vast amounts of internal and external data so OnePay can make better data-driven credit decisions, faster. You’ll own credit and product analytics for our in house liquidity products driving smarter decisions, better outcomes for our customers and growth for the business. You understand that risk is about more than minimizing losses and are eager to work cross functionally with product, engineering and data science teams to drive the business forward
In this role, you will:
- Own credit strategy end-to-end across advance, overdraft and other credit products — creating policies that balance growth and risk
- Think holistically about customer behavior, not just program-level metrics — connect segmentation and behavioral signals across products to uncover new insights
- Launch new credit products from scratch balancing first principles and limited data to scale innovative experiences with a credit and product lens
- Leverage AI-powered tools and techniques to accelerate analysis, develop and validate predictive insights, and push the boundaries of what’s possible in product analytics.
- Share insights and recommendations to senior leadership and stakeholders to influence the direction of the business
You bring
- 4-8 years of professional experience in credit analytics with a proven track record of leveraging quantitative analyses to drive business or product changes in a fast-paced environment.
- Demonstrated experience with consumer underwriting strategy and/or portfolio risk analytics — cash advance, overdraft, BNPL, or short-term consumer lending experience is a strong plus.
- Advanced SQL and AI skills, with the ability to independently pull and analyze complex datasets.
- Strong analytical thinking and problem-solving skills — you can go from ambiguous questions to clear insights.
- Intellectual curiosity to look beyond the ‘what’ and answer the ‘why’.
- An act-like-an-owner mentality. We have a bias toward taking action.
WHAT WE OFFER
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
STANDARD INTERVIEW PROCESS
Our process varies by role. Most candidates go through:
- AI-assisted initial screen
- Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
EQUAL EMPLOYMENT OPPORTUNITY
To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com.
Location: Espoo
Workplace: Hybrid
Role highlights:
- Senior Fullstack Engineer
- Location: Espoo
- Department: Engineering, Fleet Control and Communications
- Reports to: Engineering Manager, Fleet UI
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior Fullstack Engineer in Fleet UI team you will be building a mission-critical system used by satellite operators. The problems are technically rich: managing satellite configurations, visualizing orbits in 3D, managing passes across a global network of ground stations, automating mission operations and more. You will work in a domain where the UI decisions directly impact satellite mission outcomes.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring (including oil-spill detection), and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
- Build, and maintain features across a React + TypeScript project serving real-time satellite operations
- Collaborate closely with a UI/UX designer in developing sophisticated UI components and data visualizations tools including timeline views, 3D globe rendering (Cesium), and pass planning interfaces
- Contribute occasionally to backend APIs (Node, Python) to unblock delivery when needed
- Drive frontend architecture decisions — state management strategy, component design, performance optimization
- Support the team with DevOps work across multiple environments — including managing Docker-based deployments, configuring environment-specific runtime settings, and contributing to release workflows
- Write and maintain unit tests (Jest + Testing Library) and end-to-end tests (Playwright)
- Participate in code reviews, uphold coding standards, and mentor engineers on best practices
- Contribute to CI/CD pipelines and oversee migration from Webpack 5 to Vite
What we’re looking for
Must haves:
- 5+ years of professional experience building fullstack production-grade applications using React, TypeScript (ES6+) and Node
- Experience writing clean, maintainable code in Python
- Strong understanding of component-based architecture, modern React patterns, and state management approaches
- Experience designing, developing, and consuming RESTful and GraphQL APIs
- Solid testing discipline, including unit and end-to-end testing with tools such as Jest and Playwright
- Experience with modern frontend tooling and build systems such as Vite, webpack, and npm
- Proficiency with Git and collaborative development workflows
Active use of AI-assisted development tools
- Strong problem-solving skills and ability to debug complex, cross-layer issues
- Understanding of web application security best practices
- Relevant higher education degree in Computer Science, Software Engineering, or a related technical field
Nice to haves
- Solid understanding of API design, including REST principles and GraphQL schema design
- Knowledge of database design and ORM frameworks
- Experience with modern DevOps practices including CI/CD pipelines, containerization, and cloud platforms such as AWS
- Familiarity with infrastructure and deployment tooling such as Kubernetes, Terraform, Helm, or ArgoCD
Application Process
- Talent Partner Screen Call
- Hiring Manager Interview
- Technical Interview
- Values & Fit Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority—with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Base salary range for this position is 6 500 - 9 000 € per month (gross), depending on experience, and will be negotiated individually.
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.
San Francisco, CA | New York City, NY
УдалённоСША; Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance; Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance
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УдалённоseniorRemote, United Kingdom; As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones
УдалённоseniorRemote - USA; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity
УдалённоseniorRemote, Canada; Remote, United States; As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones; The base salary range for this role’s listed level is currently for residents of the United States only
San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
УдалённоRemote (USA)
ГибридCiudad de México, Mexico
Houston, Texas, United States; Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity
ОфисseniorГеография найма не уточнена
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY or the Bay Area given the current location of team
ГибридSan José, Costa Rica; Quito, Ecuador
УдалённоUnited States (Remote); We encourage candidates from all backgrounds to apply; Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at talent@onepay.com