Headquarters: CRI - Remote

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a an Analyst to join our GTM Analytics team, where we turn data into the insights that shape decisions across Sales, Strategy, RevOps, Marketing, Deal Desk, and more. Most of your work will be answering business questions directly — pulling and structuring data, summarizing it clearly, and delivering a recommendation. When a request genuinely calls for a dashboard, you'll help scope the requirements and hand them off to our central data team to build.

In this role, you'll work on well-scoped, clearly framed requests — writing SQL to pull data, looking up how a metric is already built in Looker or Omni when one exists, using Claude to refine and debug your queries, and shaping the output in Excel or Google Sheets into something a stakeholder can act on. This is a developmental role: as you build experience, you'll take on progressively more ambiguous and higher-stakes requests.

This is a full-time position based out of our Costa Rica office.

Technologies You’ll Use

SQL, Excel and/or Google Sheets (pivot tables, lookups, formulas), Claude (or similar AI assistants), Salesforce (viewing/reading data) — exposure to BI tools like Looker, Omni, Sigma, or Hex is a plus

What You’ll Do

• Write and adapt SQL queries against well-defined requests, using Claude to refine logic and troubleshoot errors
• Look up existing metrics in Looker or Omni to understand how they're already built, and reuse that logic where it applies
• Pull, clean, and structure data in Excel or Google Sheets to answer scoped stakeholder questions
• Summarize findings into clear, plain-language takeaways for non-technical stakeholders
• Validate data accuracy against source systems before sharing outputs
• Ask clarifying questions to properly scope a request before starting work
• Escalate requests that require deeper analytical judgment to senior team members
• Maintain documentation of recurring requests and their underlying logic
• Support ad hoc reporting needs across Sales, Strategy, RevOps, Marketing, Deal Desk, among others
• Build working knowledge of dbt Labs' GTM data model (Salesforce objects, opportunity stages, fiscal calendar)

Skills We’re Looking For

• Working knowledge of SQL (SELECT, JOIN, GROUP BY, basic aggregate functions)
• Comfortable using AI tools like Claude to write, debug, or refine queries and analysis
• Advanced Excel and/or Google Sheets skills (pivot tables, lookups, formulas)
• Clear written and verbal communication skills in English
• Basic understanding of SaaS sales concepts (opportunity stages, pipeline)
• Strong attention to detail and a habit of checking your own work
• Comfortable asking questions rather than guessing at ambiguous requests
• Comfortable navigating existing Looker or Omni dashboards to trace how a metric is defined and built

Bonus Skills​

• Experience building in BI or exploratory-analysis tools like Looker, Omni, Sigma, or Hex (not required — happy to teach this on the job)
• Familiarity with Salesforce
• Prior internship or role in analytics, RevOps, or FP&A
• Basic Python

#LI-MM1 #LI-Remote

To apply: https://weworkremotely.com/remote-jobs/fivetran-analyst-gtm-analytics

Headquarters: Remote

You’ve got the spark, the curiosity that makes you ask “why?” when others move on. You love solving puzzles, learning new tools, and understanding how things work (and how they break). Maybe you’ve done some hands-on IT work, tinkered with packet captures, or even caught yourself reading about the latest exploits for fun. If that sounds like you, you might be exactly who we’re looking for.

At Expel, we protect customers by thinking like attackers. Our analysts investigate alerts, dig through data, and communicate findings with empathy and precision. As an Associate SOC Analyst, you’ll be on the front lines of our Managed Detection & Response (MDR) service, helping detect, analyze, and respond to threats across diverse environments from endpoint to cloud.

This is more than an entry point, it’s a launch pad. We’ll train you, mentor you, and help you grow from your first alert triage to full-scale investigations. You’ll learn from expert analysts who’ve seen it all (and lived to meme about it). You’ll refine your craft in real-world scenarios, protecting real organizations, and making a visible impact.

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What Expel Can Do For You

• Analyze and investigate alerts to identify, assess, and respond to potential threats.
• Collaborate with teammates and customer security teams to remediate incidents and strengthen defenses.
• Conduct threat hunts and root-cause analysis to uncover attacker activity.
• Take ownership of alert triage through the entire lifecycle—from detection to resolution.
• Constantly look for ways to improve how we detect, defend, and deliver for our customers.
• Participate in 24x7 rotational coverage, because attackers don’t sleep.

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What You Can Do For Expel (With the help of training, of course)

• Get you out of theory and into real security operations.
• Surround you with seasoned mentors who want to see you succeed.
• Offer training, tools, and hands-on experience to accelerate your career.
• Immerse you in a collaborative, growth-minded culture that values curiosity, communication, and creativity.
• Provide transparent pay, unlimited PTO, flexible work, and up to 24 weeks parental leave.

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What You Should Bring With You

• Integrity, curiosity, and a client-first mindset.
• Strong written communication, you can adapt tone and detail whether you’re messaging a teammate or writing a customer report.
• A fundamental understanding of TCP/IP, operating systems, and common network protocols.
• Experience with Windows, macOS, and Linux systems, including command-line familiarity.
• Awareness of cloud applications (O365, Okta) and cloud infrastructure (AWS, Azure, GCP).
• Familiarity with detection and response tools like SIEM, EDR, and IDS/IPS.
• A curiosity about attacker techniques, the MITRE ATT&CK framework, and how defenders can outsmart them.
• 1–2 years of IT or security experience is preferred, but if you’ve got passion, potential, and a compelling story, we want to hear it.

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Additional notes

The base salary range for this role is between $85,000 USD and $90,000 USD + 20% bonus (paid out quarterly) & equity.

We believe in paying transparently and equitably. Your salary will ultimately be based on factors such as your experience, skills, team equity, and market data. You’ll also be eligible for unlimited PTO (which we model and encourage), work location flexibility, up to 24 weeks of parental leave, and really excellent health benefits.

We’re only hiring those authorized to work in the United States. We do not currently sponsor immigration visas.

We’re an Equal Opportunity Employer: You’ll receive consideration for employment without regard to race, sex, color, religion, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability.

We’ll ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please let us know if you need accommodation of any kind.

To apply: https://weworkremotely.com/remote-jobs/expel-associate-soc-analyst

Headquarters: CRI - Remote

About the Role

We are looking for a Staff Compensation & Data Analyst (IC4) to serve as the subject matter expert at the intersection of quantitative analysis, compensation strategy, HR technology, and AI-assisted analytics. In this role, you will lead the architecture, modeling, and execution of our global compensation programs while leveraging modern AI platforms and scalable data pipelines.

As a Staff level technical authority, you will drive business-critical compensation initiatives—from merit cycles and pay modeling to global equity strategy. You will partner with Finance, Legal, and Stock Administration on equity program design and governance, collaborate closely with Systems Engineering on Workday Compensation design and testing, utilize Carta for equity analytics, and leverage enterprise Generative AI platforms (Claude, ChatGPT) to accelerate data synthesis, narrative reporting, and predictive analytics.

This is a full-time remote position based in Costa Rica. 

What You’ll Do 

Strategic Compensation Analytics & AI-Assisted Modeling

• Architect Compensation Models: Build and maintain complex models for salary band creation, market pricing, geographic differentials, and merit/promotion budget allocation using quantitative techniques and advanced spreadsheet/coding frameworks.
• AI-Augmented Data Analytics: Leverage enterprise AI platforms (e.g., Claude, ChatGPT) to conduct exploratory analysis on large workforce datasets, synthesize compensation survey benchmarks, evaluate market trends, and automate repetitive data transformation workflows.
• Executive & Incentive Pay: Partner with leadership to model executive total compensation, short-term incentive (STI) performance metrics, and long-term incentive (LTI) grant strategies, utilizing AI tools to generate executive-level narrative summaries and scenario analyses.

Strategic Equity Strategy & Global Program Design

• Global Equity Design & Modeling: Partner with stakeholders to design and model strategic global equity frameworks,including refresh plan design, grant guidelines, vesting schedules, and budget allocations.
• Stock Administration Partnership: Work in tandem with Stock Administration to establish seamless workflows for equity grant approvals, board consent materials, vest schedules, and data reconciliation between equity systems and core HRIS.
• Equity Systems & Analytics (Carta): Utilize Carta and internal analytics tools to model wealth creation scenarios and executive equity usage to inform strategic compensation decisions.

Workday Partnership & Data Infrastructure

• Workday Compensation Design & Rollouts: Partner closely with Systems Engineering to co-design, test, administer, and execute Workday Compensation and Advanced Compensation workflows, eligibility rules, and global merit cycle rollouts.
• Data Integration & Pipeline Development: Collaborate with Systems Engineering to ensure seamless data flows between Workday, payroll systems, external survey management platforms, and analytical databases.
• Custom Reporting & BI: Design, build, and audit complex Workday custom reports, matrix reports, and calculated fields to deliver real-time total rewards insights to business leaders. Use BigQuery for querying, analyzing, and transforming large-scale datasets.

Enablement, Change Management & Training

• Program Enablement & Change Management: Apply structured change management principles to drive adoption of total rewards initiatives, merit updates, pay transparency changes, and compensation program rollouts.
• Communications & Collateral Creation: Develop comprehensive, clear, and engaging communications materials—including manager guidebooks, FAQ docs, slide decks, and video walk-throughs—tailored to various audiences.
• Stakeholder Training: Design and facilitate targeted training sessions for managers, Talent Acquisition (TA), HR Business Partners (HRBPs), and employees to build compensation and equity literacy.

Skills We’re Looking for

Experience

• 6+ years of progressive experience in compensation analysis, equity strategy, or People Analytics, with demonstrable mastery at a senior/principal individual contributor level.
• Proven track record of designing and modeling global compensation and equity programs in partnership with Finance in a fast-paced or scaling technology environment.
• Demonstrated experience with change management and driving enablement programs, including producing training collateral and leading educational workshops for cross-functional teams.

Technical & System Proficiency

• Workday Compensation: Hands-on experience working directly with Workday Core Compensation and Advanced Compensation modules is required.
• Carta & Equity Management: Hands-on experience or strong familiarity with Carta for cap table analytics, grant administration alignment, and LTI modeling is strongly preferred.
• AI Platforms & Prompt Engineering: Experience applying Large Language Model (LLM) tools such as Claude, ChatGPT, or Microsoft Copilot to data analysis, code generation (SQL/Python/Excel formulas), or report generation is strongly preferred.
• Advanced Analytics & BI: Advanced proficiency in Excel, Google Suite (VBA/macros, dynamic arrays, complex formulas) is required. Experience with BI and BigQuery tools for data modeling is a strong plus.

Core Competencies

• Cross-Functional & Executive Alignment: Exceptional ability to build strong cross-functional partnerships across Finance, Legal, Stock Admin, and Systems Engineering to deliver complex total rewards solutions.
• Quantitative Mastery: Deep familiarity with statistical techniques (e.g., regression analysis, distribution metrics) applied to compensation and equity datasets.
• Business & Legal Acumen: Solid understanding of core compensation and equity design concepts. 

Preferred Education & Certifications

• Bachelor’s or Master’s degree in Data Analytics, Finance, Human Resources, or a related field.
• CCP (Certified Compensation Professional) is a plus.
  
  

 

#LI-Remote #LI-MM1

To apply: https://weworkremotely.com/remote-jobs/fivetran-compensation-analytics-partner

Headquarters: San Francisco, CA or Remote (U.S.)

Client Success Manager, Pharma

Location: Remote

About Doximity

Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients. 

At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you. 

About the Role

The Client Success Manager role operates within our Rx Business Unit and Pharma Client Success team. This is a client-facing position and you should be comfortable owning your own accounts, working with a lot of autonomy. You will manage the full life cycle of projects for clients and provide a level of service that ensures an ongoing positive relationship.

You’ll need to embrace a fast-paced, tech savvy, healthcare communications environment. You will also need to be confident in managing multiple clients and priorities simultaneously. A  detail-oriented, self-motivated, “can-do” personality is essential. 

• Cultivating, managing and maintaining all aspects of relationships with new and existing clients on assigned accounts
• Responsible and accountable for the successful fulfillment of all client contracts within original contract terms from program kickoff through campaign completion.
• Manage timelines for all assigned client contracts and keep Client Service Director and Sales partners informed of progress.
• Collaborate with various internal/external teams to develop, iterate, and launch client content.  Monitor, measure, and summarize campaign metrics.  
• Accurately forecast project deliverables and achieve revenue recognition goals. 

Location: This role is Remote in the U.S.

What We're Looking For

We're excited to meet candidates who have many of the following qualifications:

• 5+ years of relevant work experience in account management within the pharmaceutical or healthcare consulting market
• Understanding of the pharmaceutical regulatory review process
• Client-facing experience required
• Excellent written and verbal communication
• Success working independently and being personally accountable for assigned client accounts
• Highly organized, able to coordinate large amounts of information across multiple projects
• Enthusiasm to help physicians and improve the US healthcare system

Compensation

The anticipated total compensation for this role is $90,667 - $137,520 depending on factors such as experience, skills, location, and internal equity.

Our total compensation package may include:

• Base salary
• Equity (where applicable)
• Quarterly bonus or incentive compensation (where applicable)

Specific compensation details will be discussed during the interview process.

Benefits

In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:

• Medical, dental, and vision insurance
• 401(k) with company match
• Flexible paid time off and company holidays
• Paid parental leave
• Professional development and learning opportunities
• Wellness and mental health resources
• Remote work support and home office stipend (where applicable)

Why You'll Love Working Here

At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.

• Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
• Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
• Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
• Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
• Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.

 

Our Hiring Process & AI Tools

Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.

Equal Employment Opportunity

Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.

If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.

To apply: https://weworkremotely.com/remote-jobs/doximity-client-success-manager-pharma

Headquarters: Remote-AMER

This is not an active job opening, but a way for us to connect with talent as we plan for future opportunities. If you’re not interested in interviewing for a role that isn’t currently open, we kindly ask that you wait until an active position aligns with your career goals.

We’re always looking for exceptional talent to join us in our mission to make work accessible for everyone, everywhere. While this specific role isn’t currently open, we’re planning for strategic growth in 2025 and beyond. This posting is part of our Future Opening pipeline initiative, which helps us connect with outstanding professionals early on.

By expressing your interest in this role, you’ll have the opportunity to start a conversation with us about your expertise and learn more about Remote’s vision and goals. Being part of our Evergreen Pipeline means staying top of mind for future roles that align with your skills and experience. It’s also a chance to explore how your career goals might fit into Remote’s exciting journey of global growth. We’ll keep your information on file for 1 year and be in touch if we see a match in that time.

 

The position

This is an exciting time to join Remote and make a personal impact in the global employment space joining our Benefits team as Benefits Operations Specialist.

This individual contributor role is part of the EOR (Employer of Record) Operations team. As a critical extension of our clients’ HR teams, EOR Ops team members navigate and advise on the intricate paths of global employment with unmatched speed, expertise, and precision in over 90+ countries.

On this team, your work directly influences our customer journey and employee experience with their Benefits. As a dynamic and curious professional, you will have the opportunity to develop yourself as an experienced international Benefits Specialist.

You will report to our Benefits Operations Manager.

Key responsibilities

• Provide delightful support to Employees and Clients re: Benefits in multiple areas
  • Benefits plans key attributes, including pricing, coverage and claims
  • Benefits plans enrolment and unenrollment
  • Benefits invoicing / billing
  • Benefits Remote platform
  • Benefits vendors’ platforms
• Process and solve tickets and escalations in Zendesk/e-mail
• Execute with care and precision data related tasks (preparation, entry, download etc.)
• Help define/detail and execute on Standard Operating Procedures
• Work closely and effectively within the Benefits team and with other Remote departments to analyse customers’ needs and deliver delightful solutions and experiences
• Be able to provide analytical, administrative and technical support in maintaining the benefits programs to ensure smooth administration of plans and policies.
• Maintain the operations process documents and be able to find automation possibilities to streamline process
• Constantly research and systematically distill written knowledge in Notion
• Be able to go from “scout to scale” and actually start things up and get things done
• Be an internal and external champion of Remote's values and Benefits team's goals

Requirements

• Experience in HR Operations Employee Benefits ideally in the context of delivering US PEO services
• Obsessed to provide an excellent customer service experience
• Strong organizational and time management skills
• Strong verbal, written, and interpersonal skills to interact internally and externally at all levels
• Ability to work in a fast-paced environment and multi-task effectively across various tech tools
• You are a manager of one
• Writes and speaks fluent English
• It's not required to have experience working remotely, but considered a plus
• Embraces AI and automation to work more efficiently

Benefits

• You can learn more about the benefits we're offering to all internal employees at Remote by visiting our public Benefits & Perks Handbook page.

Practicals

• You'll report to: Benefits Manager
• Team: Operations - Benefits
• Location: AMER

Application process

1. Profile review
2. Interview with recruiter
3. Written challenge
4. Interview with Manager, Benefits Operations
5. Interview with Director, Benefits
6. Bar Raiser interview 

 

To apply: https://weworkremotely.com/remote-jobs/remote-benefits-operations-specialist-amer

Headquarters: Delaware
URL: https://aitrainers.online/

We are expanding our elite talent pool and looking for passionate Generalist, Finance, Law, and Programming AI Trainers to join us on a remote, flexible basis.

Open Positions & Requirements

1. Generalist AI Trainers

• The Role: Craft complex prompts, evaluate multi-turn conversations, and ensure AI responses are logical, unbiased, culturally aware, and grammatically pristine.
• Ideal Profile: Strong general knowledge, exceptional writing and critical-thinking skills, and the ability to explain complex concepts clearly. No specific technical background required, but intellectual curiosity is a must.

2. Finance AI Trainers

• The Role: Design, evaluate, and benchmark advanced financial queries, complex accounting scenarios, corporate finance problems, and market analysis tasks.
• Ideal Profile: Background in Finance, Accounting, Economics, or related fields (CFA, CPA, or relevant degrees/experience preferred). You know your way through financial modeling, valuation, and market data.

3. Law AI Trainers

• The Role: Review, evaluate, and draft complex legal prompts, contract reviews, case law research, and legal reasoning tasks to ensure AI outputs meet high legal standards.
• Ideal Profile: Background in Law (J.D., LL.B., LL.M., practicing attorneys, or legal scholars). Strong analytical skills and familiarity with legal research, terminology, and writing.

4. SWE AI Trainers

• The Role: Test, debug, and write complex code snippets across multiple programming languages (Python, JavaScript, C++, SQL, etc.). You will teach AI how to write cleaner, bug-free, and optimal code.
• Ideal Profile: Proficiency in software development, computer science, or engineering. Strong coding skills and an eye for algorithmic efficiency are required.

Why Work With Us?

• Competitive Compensation: Earn between $40 to $75 per hour based on your specific track, expertise, and task complexity.
• Weekly Payouts: Get paid reliably every week directly via PayPal. No long invoicing cycles or delayed waiting periods.
• 100% Remote & Global: Work from anywhere in the world with a reliable internet connection.
• Complete Flexibility: Set your own hours. Work as much or as little as you want. Ideal for freelancers, digital nomads, and professionals looking for side income.
• Shape the Future: Be a direct part of the revolution shaping how artificial intelligence understands human logic, law, finance, and code.

To apply: https://weworkremotely.com/remote-jobs/aitrainers-remote-ai-trainers-generalist-finance-law-and-swe

Headquarters: Brazil, Remote

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You'll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross. 

#Li-remote #Full-time

To apply: https://weworkremotely.com/remote-jobs/sezzle-a-i-engineering-intern

Headquarters: Remote - US

The Opportunity 

The Manager, Loan and Debt Accounting will oversee the day-to-day accounting activities related to Oportun’s loan portfolio and debt, ensuring accurate and timely financial reporting in accordance with applicable accounting standards and company policies. This role will lead key aspects of the monthly close process, including account reconciliations, financial analysis, and review of loan- and debt-related accounting activities.

You’ll also lead and develop accounting team members, strengthen processes and internal controls, and partner across Finance, Technology, and other teams to improve the scalability, accuracy, and efficiency of Oportun’s accounting operations.

At Oportun, we move fast and we hold each other to a high bar. If you care about doing your best work while actually moving the needle for real people, you'll fit right in.

What You'll Do

Your day-to-day

• You’ll oversee accounting activities for Oportun’s loan portfolio and debt, ensuring transactions are recorded accurately, completely, and in accordance with applicable accounting standards and company policies.
• You’ll lead the month-end close process for loan- and debt-related accounts, including journal entries, account reconciliations, supporting schedules, flux analysis, and other close activities.
• You’ll supervise, coach, and develop accounting team members, providing clear priorities, feedback, review, and ongoing support.
• You’ll strengthen accounting processes and internal controls by identifying opportunities to reduce manual work, improve data quality, streamline workflows, and improve close and reporting efficiency.
• You’ll use AI-enabled tools and emerging technologies thoughtfully to enhance accounting analysis, documentation, workflows, and operational efficiency while maintaining appropriate review and controls.
• You’ll partner with Finance, Technology, and other Oportun teams to implement process improvements, automation solutions, and scalable accounting practices supporting loan and debt activities.

Who You Are

The right fit looks like this

You’re a detail-oriented accounting leader who combines strong technical judgment with a practical approach to execution. You know how to balance accuracy, controls, deadlines, and team development while continuously looking for better ways to operate.

You're comfortable navigating complexity and don't wait for perfect information to move forward. You communicate clearly, give direct feedback, and expect the same in return.

What You Bring

Skills & experience

Required

• Bachelor’s degree in Accounting, Finance, or a related field.
• 6+ years of progressive accounting experience.
• Strong knowledge of U.S. GAAP and demonstrated ability to research, interpret, and apply accounting guidance.
• Experience with loan, lending, debt, or other financial-services-related accounting activities.
• Demonstrated experience leading, coaching, and developing accounting professionals and reviewing the work of others.
• Experience with internal controls and accounting process improvements.
• Strong analytical and problem-solving skills with the ability to investigate complex accounting issues, identify root causes, and develop practical solutions.
• Ability to manage multiple priorities and meet strict deadlines in a dynamic environment.
• Strong written and verbal communication skills with the ability to partner effectively across Finance and other functions.
• Willingness to use AI-enabled tools and emerging technologies responsibly to improve accounting analysis, documentation, and processes while maintaining appropriate review and controls.

Nice to Have

• CPA or progress toward CPA certification.
• Experience in consumer lending, financial services, fintech, banking, or a related industry.
• Experience implementing accounting process improvements, workflow automation, or financial-system enhancements.
• Familiarity with AI-enabled accounting, finance, analytics, or productivity tools in a controlled environment.

Our AI Mindset

We build with AI. We lead with judgment.

AI isn't a feature here. It's how we work.

We're excited about what AI makes possible, and we're looking for people who share that curiosity. You don't need to be an expert. You need to be open to experimenting, willing to learn, and able to apply new tools in ways that actually move the needle.

In this role, you'll be encouraged to explore AI tools, find practical use cases for your function, and bring ideas for working smarter. We believe the best outcomes come when human judgment and AI capability work together.

Why Oportun

What's in it for you 

Oportun offers a competitive compensation and benefits package designed to support your physical, financial, and professional well-being. Benefits vary by country of employment. 

Some of the benefits available to eligible employees include: 

US Benefits: 

Eligibility and plan details vary by location and employment status. To learn more about Oportun and our benefits, visit oportun.com/careers

The US salary range for this full-time position is $91,500 - $146,400.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects a national minimum and maximum range for new hire salaries for this position.

Within this range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range that meets your criteria during the hiring process.

Please note that the compensation range listed in this posting reflects only the base salary for this position and does not include other compensation elements or benefits. R1 #LI-REMOTE #LI-R

To apply: https://weworkremotely.com/remote-jobs/oportun-manager-loan-and-debt-accounting-r14205

Headquarters: California
URL: https://imerit.ai/

To apply: https://weworkremotely.com/remote-jobs/imerit-video-data-annotator

Headquarters: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA

Anthropic Fellows Program overview

The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.

Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.

Apply at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.

What to expect

• 4 months of full-time research 
• Direct mentorship from Anthropic researchers 
• Access to a shared workspace 
• Connection to the broader AI safety and security research community
• Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
• Funding for compute (~$15k/month) and other research expenses

Interview process

The interview process will include an initial application & reference check, technical assessments & interviews, and a research discussion. 

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.

Compensation

The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).

ML Systems & Performance Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential mentors include:

• Alwin Peng
• Zygi Straznickas

Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.

For a past example of an engineering-heavy project, see:

• AI agents find $4.6M in blockchain smart contract exploits

Projects in this workstream may include:

• Building a CPU simulator for accelerator workloads
• Adding backends for different accelerators on an open source project
• Building on demand infrastructure for other infrastructure heavy fellows projects 
• Building complex synthetic data or environment pipelines

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

You may be a good fit if you

• Are motivated by making sure AI is safe and beneficial for society as a whole
• Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
• Have a strong technical background in computer science, mathematics, or physics
• Thrive in fast-paced, collaborative environments
• Can implement ideas quickly and communicate clearly

Candidates must be

• Fluent in Python programming
• Available to work full-time on the Fellows program

Reinforcement Learning Fellows

Mentors, research areas, & past projects

Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:

• Ruhua Jiang
• Kaidi Cao
• Sunny Duan
• David Brandfonbrener
• Colt Steele
• Dino Distefano
• Will Williams

Projects in this workstream may include:

• Building model-based tools to better understand AI training data and improve training data quality
• A research project to better understand generalization
• Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
• Building RL environments for safety-related tasks
• Conducting research and implementing solutions in areas such as RL algorithms

Unique candidate criteria

You might be a particularly great fit for this workstream if you:

• Have strong software engineering skills with experience building complex ML systems
• Can balance research exploration with engineering rigor and operational reliability
• Enjoy collaborating across research and engineering disciplines
• Are comfortable working with large-scale distributed systems and high-performance computing
• Have experience with training, fine-tuning, or evaluating large language models
• Are adept at analyzing and debugging model training processes

Logistics

Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.

Workspace Locations: We have designated shared workspaces in SF. We are also open to remote fellows in the UK, US, or Canada. 

Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.

Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.

Please note: We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.

The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program.

To apply: https://weworkremotely.com/remote-jobs/anthropic-anthropic-fellows-program-ml-systems-reinforcement-learning

Headquarters: Remote, United States

General Counsel

Remote, United States

Company Overview

Legion Technologies is the pioneer in AI-powered workforce management. Our SaaS platform helps large, distributed enterprises maximize labor efficiency while improving the experience of hourly employees through AI-driven demand forecasting, automated scheduling, time & attendance, and employee engagement tools.(Legion)

Our mission is to transform hourly jobs into good jobs by giving businesses intelligent automation and employees greater flexibility, transparency, and control via an easy-to-use mobile app.(Legion)

Role Summary

The General Counsel (“GC”) is the chief legal officer of Legion Technologies and a key member of the executive leadership team. This role is responsible for:

• Leading Legion’s global legal, intellectual property, and corporate functions
• Serving as a strategic partner to the CEO, executive team, and Board of Directors
• Building and scaling a high-performing legal organization that supports Legion’s next phase of growth, globalization, and product innovation

The GC will own the company’s overall legal strategy across commercial/SaaS, privacy and data protection, AI governance, labor and employment, corporate governance, IP, regulatory compliance, and risk management.(Legion)

Key Responsibilities

1. Legal Strategy & Leadership

• Develop and execute a comprehensive legal strategy that aligns with Legion’s business objectives and growth plans in AI-powered workforce management.
• Advise the CEO, executive team, and Board on key legal, regulatory, and governance matters, including risk, compliance, fundraising, and strategic transactions.
• Build, lead, and mentor a high-performing in-house legal team; manage external counsel efficiently across specialties and jurisdictions.
  Establish scalable processes, templates, and playbooks to support rapid go-to-market and partnership execution.

2. Corporate Governance & Financing

• Serve as corporate secretary for Legion Technologies and its subsidiaries; manage all Board and committee governance processes, including agendas, materials, minutes, and consents.
• Oversee corporate structure, subsidiary management, and global entity compliance.
• Support equity and debt financings, including negotiations with investors, diligence, and ongoing compliance with investor rights and governance frameworks.
• Partner with Finance and People teams on equity plan administration, stock option programs, and related disclosures.

3. Commercial, Product & Partnership Counsel

• Own legal support for Legion’s commercial operations, including:
  
  
• Enterprise SaaS subscriptions and professional services agreements
  
  
• Channel, OEM, marketplace, and strategic partner agreements
  
  
• Data processing, DPA, and information security terms
  
  
• Work closely with Sales, Customer Success, and Partnerships to enable predictable deal cycles while appropriately managing risk.
• Partner with Product, Engineering, and Security to ensure Legion’s AI-enabled WFM platform, APIs, and integrations with partners (e.g., SAP SuccessFactors and other HR platforms) comply with applicable laws, industry standards, and customer requirements.
• Provide practical, business-oriented product counseling on new features, AI use cases, mobile app capabilities, and international expansion.

4. Privacy, Data Protection & Terms of Use

• Own Legion’s global privacy and data protection program, including compliance with U.S. federal and state laws (e.g., CCPA/CPRA) and international frameworks where applicable.
• Oversee Legion’s Terms of Service, privacy policy, and related product policies, ensuring they remain up to date with evolving regulatory requirements and product capabilities.
• Work with Security and IT to support customer security reviews, audits, and incident response readiness.
  Develop and maintain policies and training related to data governance, acceptable use, and ethical AI usage within the platform.

5. Labor, Employment & Workforce Compliance

• Advise on employment matters across Legion’s workforce, including hiring, terminations, performance management, compensation, and incentive programs.
• Support the People team in implementing policies that are compliant with applicable labor laws and consistent with Legion’s mission to improve hourly workers’ experience.
• Provide guidance on product features designed to support customers’ compliance with labor and scheduling laws (e.g., predictable scheduling, good faith estimates, overtime rules), in partnership with Product and Customer Success.

6. Intellectual Property & Innovation

• Develop and implement Legion’s global IP strategy, including patents, trademarks, copyrights, trade secrets, and open-source usage.
• Partner with Product and Engineering to identify and protect innovations related to AI models, algorithms, data pipelines, and workforce management solutions.
  Manage enforcement and defense of Legion’s IP rights and respond to third-party claims.

7. Regulatory, Compliance & Risk Management

• Identify and monitor evolving legal and regulatory developments affecting:
  
  
• AI and machine learning
  
  
• Data privacy and security
  
  
• Employment and labor laws
  
  
• Enterprise software and cloud services
  
  
• Design and oversee a risk and compliance framework that includes policies, training, internal controls, and reporting.
  
  
• Support internal investigations and compliance reviews; partner with HR and other functions on ethics and integrity initiatives.
• Coordinate with insurers and brokers on appropriate coverage (e.g., E&O, cyber, D&O) and manage claims as needed.
  
  

8. Strategic Transactions & Corporate Development

• Lead legal aspects of M&A, investments, and strategic partnerships, from diligence and transaction negotiation through integration.
  Provide structured guidance on competition, antitrust, and other regulatory considerations for strategic deals.

Qualifications

Required

• J.D. degree from an accredited law school and membership in good standing with at least one U.S. state bar.
• 15+ years of combined experience in top-tier law firm and in-house roles, with significant time as General Counsel, Chief Legal Officer, or senior deputy GC at a high-growth technology or SaaS company.
• Deep experience advising on:
  
  
• Enterprise SaaS and commercial contracting
  
  
• Corporate governance and venture-backed/private equity-backed company issues
  
  
• Data privacy and security
  
  
• IP strategy and licensing
  
  
• Demonstrated track record of building and leading legal teams that support rapid growth and international expansion.
• Proven ability to operate as a business-minded advisor, balancing risk with strategic and commercial objectives.
  
  

Preferred Qualification

• Experience in HR tech, workforce management, fintech, or other data-intensive SaaS businesses.
• Prior leadership supporting AI/ML products and associated ethical, regulatory, and data governance issues.
  
  
• Experience supporting global customers and operations across North America, EMEA, and APAC.

Prior work with large enterprise and strategic partners (e.g., SAP, other HCM vendors).

Skills & Attributes

• Exceptional judgment, integrity, and discretion; trusted partner to executives and Board.
• Strong communication skills, with the ability to translate complex legal issues into clear, actionable guidance for non-legal stakeholders.
• Highly collaborative, low-ego leadership style with a focus on enabling the business.
• Bias toward practicality and speed; comfortable operating in a fast-paced, high-growth environment.

Passion for Legion’s mission to transform hourly jobs and improve the experience of frontline workers.

ADDITIONAL INFORMATION

• This is a full-time, exempt position.
• Some travel may be required to meet with customers, partners, investors, regulators, and internal teams.
• Legion offers a competitive compensation package including salary, equity, and comprehensive benefits. (To be tailored by HR/Comp.)

COMPENSATION & BENEFITS

Salary Range: Base Salary Range: $250,000 - $300,000 + Bonus + Stock Equity

At Legion, we offer competitive compensation and benefits packages to all employees. As a fully remote employer, pay for positions is determined using local, national, and industry-specific survey data. 

Our posted salary range is done so in good faith based on national data and may be refined for a candidate's region/town/cost of living. We strive to make competitive offers allowing employees room for future growth. Salaries will be based on the applicant’s location, level of experience, education, and specialized knowledge and skills. Additionally, we consider the external market rate, the amount we have budgeted internally, and internal equity within the company for the same position. 

Benefits include, but are not limited to:

• $0 monthly premium and other flexible medical, dental, and vision plans effective on the first day of employment
• 401k plan
• Discretionary Paid Time Off and Paid Holidays
• Parental Leave 
• Equity 
• Monthly Wellness Reimbursement
• Monthly Lunch on Legion

ABOUT LEGION

Join Legion's mission to turn hourly jobs into good jobs. We're a remote, mission-driven team seeking exceptional talent to propel this vision. Embrace a culture that's collaborative, fast-paced, and entrepreneurial. With us, you'll grow your skills, work closely with experienced executives, and contribute significantly to our mission.Our award-winning AI-native workforce management platform is intelligent, automated, and employee-centric and has proven to deliver 13x ROI. We help labor-intensive organizations maximize labor efficiency and employee engagement simultaneously. Legion has earned recognition for its innovation, including spots on the Inc. 5000 list, Forbes’ Next Billion Dollar Startups, and awards for our AI technology. Backed by leading investors such as Norwest Venture Partners, Stripes, First Round Capital, XYZ Ventures, Webb Investment Network, Workday Ventures, and NTT DOCOMO Ventures, we're making real change.

If you're ready to make an impact and grow your career, Legion is where you belong. Join us in making hourly work rewarding and fulfilling.

BACKGROUND AND OPPORTUNITY 

There are almost 75 million hourly workers in the United States, representing more than half of the entire workforce. Historically, managing hourly employees has been difficult due to high attrition (average of 60%) and high replacement costs (average of $3,200 per employee in retail). The ongoing labor shortage and competition from the gig economy, make it more difficult to attract and retain hourly employees. The top reasons hourly employees leave their jobs are a lack of schedule empowerment, poor communication with employers, and an inability to get paid early. Gen Z and the millennial workforce demand gig-like flexibility, modern technology, and compelling work options. Legion’s mission is to turn hourly jobs into good jobs, serving the hourly workers who make up the majority of the US workforce. We believe in empowering employees and helping employers be efficient and innovative by enabling intelligent automation powered by Legion’s Workforce Management platform to optimize labor efficiency and enhance the employee experience simultaneously. Legion WFM was built for the cloud with AI at the core and designed to handle the complexity of modern businesses and meet the needs of today’s hourly employees.  Our team is comprised of dedicated individuals from all backgrounds and experiences, globally distributed across all time zones.

For more information, visit https://legion.co 

EQUAL EMPLOYMENT OPPORTUNITY

Legion Technologies is proud to be an equal-opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will be considered for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

DISABILITY ACCOMMODATION

For individuals with disabilities who need additional assistance at any point in the application and interview process, please email recruiting@legion.co 

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Legion recruiting email communications will always come from the @legion.co domain. Any outreach claiming to be from Legion via other sources should be ignored. If you are uncertain whether you have been contacted by an official Legion employee, reach out to recruiting@legion.co

 

To apply: https://weworkremotely.com/remote-jobs/legion-general-counsel