Location: Lithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Slovakia; Andorra; Cheyenne; Slovenia; Serbia; Malta; Montenegro; Alabama; Ohio; Latvia; Vermont; Albania; Czech Republic; Mississippi; Wisconsin; Greece; Cyprus; Netherlands; Kosovo; Yerevan; California; Arizona; Bulgaria; Oregon; Moldova; Romania; Georgia; United Kingdom; Bosnia and Herzegovina; Turkey; Portugal; Poland; Czechia; Croatia; South Africa
Workplace: Remote
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Please be informed that Foxelli Group hires exclusively in-house and doesn't work with any external recruitment agencies. Any company or individual claiming to recruit on behalf of Foxelli Group is not affiliated with us.
At Foxelli, we’re building more than e-commerce brands - we’re building a tribe of thoughtful humans: AI enthusiasts, curious builders, and ambitious minds who care about doing meaningful work together. Ten years in, our D2C brands reach millions and generate over $20M annually. Our focus stays simple: create products customers love and a team that actually enjoys building them.
If you love to learn, experiment, think boldly, make decisions, and build things that matter - you’ll feel at home with us.
WHY JOIN FOXELLI?
Foxelli is a place for people who think deeply, learn quickly, automate repetitive work, enjoy spending time together, and build things that matter. We work hard, joke often, and don’t take ourselves too seriously.
If you’re excited about AI, eager to learn, and want to create work that genuinely means something with people who care, you’ll feel right at home with us - no matter where you are in your career.
THE ROLE
We're looking for a Churn Specialist for our craft subscription box brands to help us get closer to our customers - understand what they actually need, spot where we're falling short, and find ways to retain them.
You'll work across multiple Foxelli Group brands, investigate the full customer lifecycle, and turn data into initiatives that actually move the needle on retention.
You won't just track churn numbers. You'll own the thinking behind what is happening with the brand and drive the ideas to help retain our customers.
If you love:
- getting into customer data and finding the story behind the numbers
- mapping out a customer journey and spotting where things go wrong
- testing ideas - onboarding tweaks, lifecycle flows, CRO experiments, win-back sequences, etc
- using AI and automations to move faster and do more with less
- understanding what makes customers stay (or leave) on a psychological level
- working across multiple products and brands without losing focus
- working with crafts like knitting, crochet, and quilting
And if you're someone who can take a messy churn problem, break it down into clear hypotheses, and see them through to results…
…you might be our person 👀
🚀 WHAT YOU'LL BE DOING
Churn Analysis & Research
- Analyse churn patterns across multiple Foxelli brands - when customers drop, which segments are most at risk, and what's driving it
- Research competitors and benchmark what best-in-class retention looks like in our space
- Use AI tools to accelerate research, surface insights, and identify patterns
- Build a clear picture of our customers - their motivations, frustrations, and what "good enough to stay" actually means to them
Customer Journey & Onboarding
- Audit the full customer lifecycle with a churn lens - from first-touch onboarding to long-term engagement
- Identify drop-off moments and experience gaps that are costing us customers
- Own initiatives to improve onboarding flows and early-stage activation
Retention Initiatives & Experimentation
- Develop hypotheses and run experiments - lifecycle communications, CRO tests, loyalty mechanics, win-back campaigns, cancellation flows
- Build and maintain automations that support retention at scale - triggered flows, at-risk alerts, personalised sequences
- Use AI to generate ideas, draft copy, simulate scenarios, and iterate faster
- Track the impact of every initiative and iterate based on results
- Document what worked, what didn't, and why
AI & Automations
- Build and maintain automations that support retention initiatives at scale
- Proactively explore how AI can improve the way we understand and respond to churn
- Stay current with new tools and bring ideas to the table before anyone asks
WHAT YOU BRING
- At least 2 years of experience of direct experience fixing actual churn for a physical product
- Proven experience diagnosing churn, not just reporting on it, but getting to the root of it
- Comfortable working with data: cohort analysis, funnel metrics, A/B test results
- Hands-on experience with customer journey mapping, onboarding optimisation, or CRO
- Experience building automations: triggered flows, lifecycle sequences, or similar
- Able to turn messy data into a clear point of view and present it to senior stakeholders
- Has worked across multiple products or brands
- Uses AI tools beyond basic prompts and actively looks for ways to automate and improve workflows
THE RECRUITMENT PROCESS
1. Apply - A simple form that helps us know who’s stepping into our world.
2. Ribbon AI Interview - Ribbon is a short, guided video step that helps us understand your thinking style in a calm, private space
3. Text Task - A small real-world challenge so we can see how you approach problems in action.
4. Interview - A conversation with your manager to feel the work chemistry, get to know each other, and explore what we could build together
FIXED SERVICE FEE
2,500 - 2,800 euros after taxes (depending on your skills, competencies, and experience).
PERKS & BENEFITS
- Full flexibility with your schedule in a fully remote setting, while Apploye ensures transparency and fairness.
- Complimentary gym memberships and company-sponsored outdoor adventures for your strength and to keep your physical well-being in check.
- A personal development budget is at your disposal for your personal and professional growth to ensure you keep growing continuously.
- Generous paid time off, including parental leave and vacation days, to recharge and rejuvenate and ensure you’re well-rested.
- A budget for your home office setup so you’re comfortable working how you like and where you like.
- Strong company culture and a network of unique individuals that celebrate you.
ELIGIBILITY & LOCATION REQUIREMENTS
❕This role is 100% remote.
- Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3). We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported.
- For full-time roles, we ask that you’re available for at least 5 hours during typical EET working hours — it keeps collaboration smooth and communication easy.
(This doesn’t apply to part-time roles.)
Currently, we are hiring in Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa.
УдалённоLithuania; Bosnia & Herzogovina; Estonia; North Macedonia; Slovakia; Andorra; Cheyenne; Slovenia; Serbia; Malta; Montenegro; Alabama; Ohio; Latvia; Vermont; Albania; Czech Republic; Mississippi; Wisconsin; Greece; Cyprus; Netherlands; Kosovo; Yerevan; California; Arizona; Bulgaria; Oregon; Moldova; Romania; Georgia; United Kingdom; Bosnia and Herzegovina; Turkey; Portugal; Poland; Czechia; Croatia; South Africa; Our tribe works primarily in the Eastern European Time Zone (EET — UTC+2/UTC+3); We also use Revolut for payments, so we are open to hiring candidates in countries where Revolut payments are supported
Location: Noida, India
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
Join our company as Security Engineer (all genders) and become part of an agile team designing, building, and improving security features across the TeamViewer product line and its supporting infrastructure.
These will be some of your responsibilities:
Design and implement security controls and mechanisms directly in our products, with a strong focus on secure-by-design principles.
Identify, analyze, and mitigate vulnerabilities through threat modeling, security reviews, and hands-on testing (including aspects of offensive security).
Collaborate closely with development teams to integrate security into the SDLC, from design to deployment, and improve existing security architectures.
Drive the implementation of technical solutions to detect and prevent abuse scenarios in TeamViewer products.
Contribute to security-related automation, tooling, and processes to scale security across engineering teams.
Act as a security consultant for product and engineering teams, helping them make risk-informed design and implementation decisions aligned with the overall security strategy.
Participate in applied AI security initiatives, focusing on securing AI-driven features and leveraging AI to improve security capabilities.
Prepare and deliver secure coding trainings, workshops, and guidance to development teams.
Requirements
Degree in computer science or security or equivalent working experience
Ideally 5+ years professional experience in a similar position, specifically focused on security issues
Strong interest and understanding of security aspects of AI usage in Software Development process
Knowledge of C++ and at least a basic understanding of other programming languages such as Java, C# or Go
Good foundation in web architectures as well as scalable distributed systems
Experience in implementing encryption, cryptography, software security and authentication, both in the field of software development and the design of network protocols.
Passion about finding secure, innovative and user-friendly solutions for highly complex problems
Experience in mentoring, consulting and guiding other developers and teams of developers in building secure solutions
Experience and interest in working in distributed teams
Fluency in English is mandatory, further languages such as German are a plus
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Remote USA
Workplace: remote
ABOUT YOU
We are looking for a Head of Fund Analytics & Automation who is a hands-on builder, rigorous with data, and fluent in finance conversations to join our Credit Fund team in the office of the Chief Credit Officer. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to design, build, and operate the fund's entire data and automation stack end to end — and then own it as the fund goes live.
The credit fund is being built with a deliberately small team. Instead of hiring several analysts and operations staff, we want one senior technical hire who can do both: engineer the platform and sit across the table from investors and borrowers. Underwriting here is built on real payment telemetry — including Xsolla transaction data — and that data edge is the foundation of this role.
Strong SQL, Python, and production automation skills are essential, along with real experience in portfolio analytics, market risk, or credit. The ability to ship audit-grade systems and then defend the numbers in front of LPs and borrowers will be key to your success in this role. The role starts as a builder and becomes the owner-operator of the platform, with a growing seat in underwriting decisions and, as the platform and deal volume grow, scope to hire and lead a small team.
If you're passionate about applying AI-governed automation to private credit and love building the systems that let a lean team punch far above its weight, we would love to hear from you!
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities
First 6 months — priorities in order
- Deal pipeline live: origination intake through credit committee, with the full audit trail. - Scoring data layer: borrower financials and payment telemetry ingested, stored, and under documented data contracts. - LP / fundraising pipeline instrumented, and first investor reporting shipped.
Explicitly out of scope: legal documentation, fund administration, and accounting — these sit with external providers.
Phase 1: Build (through first close)
Deal pipeline management
- Design and run the full deal workflow: origination intake, screening, scoring, credit committee, closing.
- Implement it as governed automation (workflow orchestration such as n8n or similar, with LLM-assisted steps where they add value): every automated output validated against a defined schema, low-confidence results routed to human review, and a complete audit trail suitable for LP due diligence.
Scoring and underwriting data layer
- Build the ingestion and storage layer for borrower financials and payments telemetry (including Xsolla transaction data) — PostgreSQL or equivalent, ETL pipelines, materialized views, documented data contracts.
- Develop credit scoring and forecasting models in Python, with proper train/test discipline, leakage and PII exclusion, and ongoing monitoring for drift and degradation.
- Maintain evaluation and regression checks so model and automation quality is measured continuously, not assumed.
Fundraising / LP pipeline
- Build and operate the investor pipeline: CRM automation, conference and referral pipeline tracking, follow-up orchestration, and data room preparation and upkeep.
- Instrument the pipeline so we always know conversion rates, stage aging, and next actions per LP.
Investor and borrower dashboards
- Ship reporting for both audiences: fund-level metrics for investors, facility-level metrics for borrowers.
- Numbers must reconcile to source systems and be reproducible outside the BI tool — audit-grade, not demo-grade. Tableau / Power BI or a lightweight web dashboard, whichever fits.
Reliability, cost, and security of the stack
- Budget caps and cost monitoring on all AI-assisted automation; regression canaries before changes ship.
- Access control and data protection appropriate for fund data: deny-by-default permissions, audit logs, strict handling of LP identities, borrower financials, and deal terms.
- Documented runbooks and handover-ready documentation as part of "done" — the stack must be operable by someone other than its author.
Phase 2: Operate (post-close)
- Move into an operating role on the underwriting side: portfolio monitoring, covenant and collateral tracking, scenario and stress analysis.
- Extend the platform to other investment types and support the capital formation team with the same pipeline and reporting infrastructure.
Client and investor facing
This is not a back-office role. The person will join investor and borrower meetings, present the dashboards and the numbers behind them, and field diligence questions directly. Fluency in finance conversations is as important as engineering. The person will also respond to LP operational due diligence questionnaires on the data and automation stack.
Qualifications and Skills
Required
- 7+ years across data analytics / data engineering, including recent hands-on experience building and running production automation (not prototypes or notebooks).
- Proven production experience with LLM-based automation: schema-validated outputs, human review gates, evaluation and regression testing, cost-tiered model routing.
- Strong SQL and Python; ownership of a PostgreSQL (or similar) data platform end to end — ETL, materialized views, performance tuning, data contracts.
- Workflow orchestration experience (n8n, Airflow, or comparable).
- BI and dashboarding: Tableau, Power BI, Qlik, or equivalent web dashboards; a track record of reporting that executives actually used for decisions.
- Security discipline for sensitive data: role-based access, deny-by-default policies, audit trails, PII handling.
- Finance background: degree in finance or quantitative field plus real experience in portfolio analytics, market risk, or credit — able to hold their own in an underwriting or investor conversation.
- Strong written and spoken English; comfortable presenting to senior external audiences.
Preferred
- Direct exposure to private credit, lending, or fund operations.
- Forecasting and statistical modeling track record (capacity planning, SLA/risk forecasting, or similar).
- Experience with embeddings / semantic search and multi-model AI setups.
- Web development ability (React / TypeScript or similar) for internal tools and dashboards.
- Experience in audited or regulated environments (SOC 2, fund audits, or equivalent).
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Fund Analytics & Automation — Credit Fund position, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
Location: Asia
Workplace: Remote
We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats.
The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering.
You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES
- Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
- Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
- Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
- Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
- Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
- Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
QUALIFICATIONS
- Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
- Experience: Current or recent clinical practice in your stated specialty.
- Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
- Attention to detail: Proven accuracy and consistency in clinical review or assessment work.
- Technical proficiency: Comfortable using structured review tools and digital platforms.
- Language: Native or near-native written English.
LEGAL STATUS
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate in line with specialty and level of experience.
- Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
Location: USA
Workplace: Remote
We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats.
The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering.
You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES
- Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
- Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
- Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
- Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
- Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
- Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
QUALIFICATIONS
- Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
- Experience: Current or recent clinical practice in your stated specialty.
- Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
- Attention to detail: Proven accuracy and consistency in clinical review or assessment work.
- Technical proficiency: Comfortable using structured review tools and digital platforms.
- Language: Native or near-native written English.
LEGAL STATUS
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate in line with specialty and level of experience.
- Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
Location: United Kingdom; Europe
Workplace: Remote
We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats.
The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering.
You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES
- Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
- Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
- Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
- Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
- Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
- Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
QUALIFICATIONS
- Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
- Experience: Current or recent clinical practice in your stated specialty.
- Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
- Attention to detail: Proven accuracy and consistency in clinical review or assessment work.
- Technical proficiency: Comfortable using structured review tools and digital platforms.
- Language: Native or near-native written English.
LEGAL STATUS
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate in line with specialty and level of experience.
- Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
Location: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
Competitive Salary
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do:
Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution
Plan and design simple to semi-complex business processes and system modifications
Make recommendations to improve and support business activities
Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties
Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design
Develop business requirements documents/user stories to support the required modifications
May plan, allocate and monitor work of other business analysts
Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills
Assist in providing time estimates for project related tasks
Aid in updating process and procedural documentation
Develop basic understanding of technical development cycle of mobile application or web portals
Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc.
Any other task that may be assigned
What We Need:
Minimum 4 years of experience as Business Analyst
A degree in Business, IT or any relevant field
Previous experience working in the insurance industry is required (Insurtech or health insurance experience is preferred)
Health Insurance-related domain certification from INS/LOMA or III is an added advantage
Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints
Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing
Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes
Experience in an Agile and/or Scrum environment is a must
Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow
Excellent written and verbal communication skills in English
Currently based in Vietnam
Why You'll Love Working Here
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Annual Health Check-up
CoverGo Company
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Privacy Notice
and you consent to the processing of your data as part of this application.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making.
In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Key responsibilities
Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record
Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization
Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment
Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks
You may be a good fit if you have:
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Proven track record of partnering with technical teams to drive financial optimization initiatives
Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Are passionate about the effective integration of AI tools to streamline manual finance workflows
Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc
Preferred qualifications
7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
3+ years of experience specifically in cloud infrastructure financial management
Experience working directly with major cloud service providers (AWS, GCP, Azure)
MBA or other advanced degree in finance, economics, or business
Deep expertise in cloud service provider economics, contract structures, and pricing models
Experience with chip architecture economics and optimization strategies
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
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:
$240,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: Limassol, Cyprus
Workplace: hybrid
TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.
We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group.
We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.
About the team
We are looking for an experienced
Unit Lead
to take on technical and organizational leadership across the unit. This is a true "leader of leaders" role focused on technical strategy, reliability, people development, and process maturity. While your direct reports will be Team Leads and Tech Leads, we expect you to remain technically grounded with a deep understanding of system design, distributed architectures, and codebase fundamentals.
Your mission will be to align the teams under a single strategic vision, drive cross-team synergies, balance product delivery with technical debt and reliability, and grow future engineering leaders in a high-ownership, high-scale environment.
Responsibilities
Own and execute the unit's technical strategy and roadmap, translating company business objectives into clear, measurable engineering goals and delivery milestones
.
Unify multiple engineering teams around a shared runtime and platform architecture, maximizing synergies and eliminating
inter-
team dependencies.
Directly manage and mentor Team Leads; conduct regular 1:1s, support their managerial growth, and guide their progression through engineering grades.
Own resource management across the unit: run hiring, onboarding, capacity planning, and headcount budgeting; justify compensation adjustments and ensure teams are staffed to deliver on commitments.
Foster a culture of high ownership, accountability, transparency, and continuous learning across all teams within the unit.
Own platform reliability and technical health: define and enforce SLOs/SLAs, availability and latency targets, incident post-mortems, and a robust on-call culture.
Drive Disaster Recovery (DR) and Business Continuity Planning (BCP): define RTO/RPO targets, design dual-hub/failover scenarios, and oversee regular readiness checks.
Supervise capacity forecasting, scaling, and operations on Kubernetes and cloud platforms while optimizing the total cost of ownership (TCO).
Optimize engineering workflows, implementing modern delivery frameworks, release metrics, quality controls, and effective requirements management.
Represent the unit at the company and executive level; proactively work with stakeholders (product managers, adjacent engineering departments) to align on roadmaps, architectural trade-offs, and risks
What makes you the perfect fit
5+ years of experience in engineering management (Unit Lead / Engineering Manager), ideally with experience managing Team Leads / Tech Leads and multiple teams simultaneously.
Strong background in backend development
(Go or Java)
and a proven track record of building and managing distributed systems at scale.
Deep experience with high-load, low-latency services in a production environment.
Solid understanding of SRE practices: SLO/SLA formulation, observability, incident management, and building an on-call culture.
Confident practical understanding of capacity planning, resource allocation, and operations within Kubernetes and cloud/container infrastructures.
Proven ability to define strategy, set OKRs, and build transparent processes for performance reviews and engineer growth (PDPs).
Excellent systems thinking, high comfort level in managing ambiguity, and strong prioritization skills.
Outstanding communication and stakeholder management skills to effectively bridge technical teams and business leadership.
Working-level Russian and English (for internal communication, meetings, and technical documentation).
Will be a plus
Experience in finance or trading domain
Familiarity with TradingView as a product
Hands-on experience with DR planning and capacity profiling.
Experience consolidating or reorganizing several teams into a single unit.
Familiarity with the technologies in the stack below.
What we offer you
Flexible working hours and a hybrid work format
Well-equipped offices for focused and collaborative work
A global, distributed team of 500+ professionals
Learning, mentorship, and long-term career growth
Relocation support and private health insurance
Performance-based bonuses
TradingView Premium access
Regular team events and company-wide meetups
Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you!
TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.
Location: Remote UK
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The International Accelerator Engineering team is growing, and we're looking for a Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest.
Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale.
If you want to build something new and operate it at scale – come join us!
What You'll Do:
· With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.
· You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
· You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
· You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process.
What We Look For:
· You have a total of 1.5+ years of experience as a software engineer.
· You have experience shipping web apps using declarative UI frameworks like React or Vue.
· You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin.
· You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
· You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Compensation & Benefits
Base Pay Grade - L
Equity Grade - 4
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.)
Base pay range per year: £101,000 - £149,000
Location: UK Remote
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are seeking a Senior Systems Engineer – Software & Autonomy to support the definition, architecture, integration, and verification of the software systems that enable our humanoid robotic platform.
The role will work across perception, localisation, navigation, artificial intelligence, motion planning, controls, ROS 2 platform software, simulation, deployment, and diagnostics. You will collaborate with software leads and subject matter experts to translate product and operational needs into coherent capabilities, requirements, architectures, interfaces, integration plans, and verification criteria.
This is a systems engineering position focused on the robot’s software and autonomy stack. It is not primarily a firmware development or electrical engineering role.
WHAT YOU'LL DO
- Obtain input from system leaders, product teams, and technical subject matter experts to translate stakeholder needs into clear and verifiable system and software requirements.
- Define the software capabilities required to support humanoid robot behaviours, operational use cases, and product objectives.
- Decompose system-level capabilities across perception, navigation, AI, planning, controls, core platform, and supporting software services.
- Develop and maintain the functional and logical architecture of the robot’s software and autonomy stack.
- Define system boundaries, responsibilities, dependencies, and interfaces between software components and technical teams.
- Establish interface requirements covering data ownership, message definitions, coordinate frames, units, timing, latency, synchronization, quality indicators, fault handling, and degraded operation.
- Support architectural decisions involving, middleware, compute allocation, networking, simulation, software deployment, and distributed execution.
- Coordinate integration across perception, navigation, AI, controls, platform software, firmware, electronics, sensors, actuators, and mechanical systems.
- Identify cross-team assumptions, dependencies, architectural conflicts, and missing functionality before they become late-stage integration issues.
- Define integration stages, entry and exit criteria, required test environments, and readiness expectations.
- Lead or support the investigation of complex system-level issues involving multiple software components or interactions between software and hardware.
- Define nominal, degraded, recovery, fallback, and safe-state behaviours for software-intensive functions.
- Develop system-level verification and validation strategies for autonomous robotic capabilities.
- Establish measurable performance and acceptance criteria for perception, localization, navigation, planning, controls, AI, and integrated robot behaviours.
- Support scenario-based testing using simulation, software-in-the-loop, hardware-in-the-loop, laboratory testing, and physical robot testing.
- Maintain traceability between use cases, requirements, architecture, implementation, tests, and verification evidence.
- Work with safety engineers to ensure software behaviours support system safety requirements and hazard mitigations.
- Facilitate requirement, architecture, interface, integration, and system-readiness reviews.
- Communicate technical risks, capability limitations, integration status, and architectural trade-offs to engineering and program leadership.
- Coach engineering teams in practical systems engineering methods appropriate for an iterative robotics development environment.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Systems Engineering, Software Engineering, Computer Science, Robotics, Mechatronics, Controls Engineering, or a related field.
- Five or more years of experience in systems engineering, robotics software, software architecture, autonomous systems, or a related technical domain.
- Experience working with complex software-intensive or cyber-physical systems composed of multiple interacting subsystems.
- Strong knowledge of requirements engineering, architecture definition, interface management, integration, verification, validation, and traceability.
- Technical experience in several of the following areas:
- ROS or ROS 2
- Robotics software
- Perception and sensor fusion
- Localization, mapping, and navigation
- Motion or behaviour planning
- Manipulation, locomotion, or whole-body controls
- Artificial intelligence or machine learning
- Simulation and virtual testing
- Distributed or real-time software systems
- Ability to understand and evaluate software behaviour without being the primary implementation owner for every component.
- Experience defining measurable acceptance criteria for complex system behaviours.
- Ability to investigate issues spanning algorithms, software, computing, networking, firmware, sensors, actuators, and physical robot behaviour.
- Strong analytical, problem-solving, leadership, and technical communication skills.
Experience with humanoid robots, mobile robots, autonomous vehicles, industrial robotics, or similar systems.
- Familiarity with ROS 2 topics, services, actions, quality-of-service policies, lifecycle management, TF, rosbag, and distributed execution.
- Familiarity with C++, Python, Linux, Git, CI/CD, containers, and modern software development workflows.
- Experience with simulation tools such as Isaac Sim, Gazebo, MuJoCo, MATLAB/Simulink, or equivalent platforms.
- Experience with SysML, model-based systems engineering, or software architecture modelling.
- Familiarity with functional safety, SOTIF, machinery safety, cybersecurity, or safety assurance for autonomous systems.
- Understanding of machine-learning performance, uncertainty, dataset coverage, and scenario-based validation.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Mexico
Workplace: remote
About the Opportunity
We are seeking experienced customs and trade compliance professionals to support a project focused on Mexican import/export regulations, tariff classification, and customs compliance.
This project involves reviewing realistic customs scenarios, documenting how experienced professionals approach complex regulatory decisions, developing expert reference solutions, and validating technical analyses. The resulting expert materials will support the development and evaluation of advanced AI systems for professional workflows.
This is flexible, project-based consulting work intended for professionals who are actively practicing or have recent hands-on experience in Mexican customs and trade compliance.
Project Details:-
Engagement Type: Independent Contractor / Project-Based (Flexible, Part-Time)
Location:Remote (Mexico)
Compensation: $12/hr
Scope of work: 10 hrs-12 hrs Weekly
What You’ll Do
Review realistic import and export scenarios involving Mexican customs regulations.
Develop expert reference solutions for customs classification and trade compliance tasks.
Document the reasoning behind customs decisions and regulatory interpretations.
Review and validate alternative solutions for technical accuracy, completeness, and regulatory compliance.
Identify missing information, incorrect assumptions, or inappropriate decision sequences.
Reference applicable regulations where appropriate (e.g., Ley Aduanera, LIGIE, TIGIE, NOMs, RRNA, T-MEC).
Collaborate with our project team to ensure expert knowledge is accurately represented.
Required Qualifications
3+ years
of recent, hands-on experience in customs brokerage, tariff classification, trade compliance, import/export operations, or a related field.
Current or recent (within the past two years) practical experience with Mexican customs regulations and procedures.
One or more of the following professional backgrounds:
Licensed
Agente Aduanal
Clasificador Arancelario
Trade Compliance Specialist
Customs Compliance Specialist
Import/Export Compliance Professional
Customs or Trade Consultant
Professional fluency in Spanish.
Ability to clearly explain and document the reasoning behind regulatory and classification decisions.
Preferred Experience
Experience in one or more of the following areas is highly desirable:
Tariff classification (Clasificación Arancelaria)
LIGIE / TIGIE
T-MEC / USMCA
NOMs and RRNA
Customs valuation
Rules of origin
Pedimentos
VUCEM
Customs audits or trade compliance reviews
Experience using official Mexican customs resources (e.g., ANAM, SAT, SNICE, VUCEM) is preferred. Experience with commercial customs software is welcome but not required.
Working proficiency in English sufficient to understand project instructions and communicate with the project team.
Knowledge of U.S. customs regulations, HTS classification, or cross-border Mexico-U.S. trade operations is a plus.
Why This Project Matters?
Your expertise will help document how experienced customs professionals solve complex regulatory problems in practice. By capturing expert workflows and decision-making, you will contribute to the development of high-quality reference materials that support advanced AI systems for professional customs and trade compliance.
Location: New York; Maryland; Massachusetts; Virginia; Connecticut; Georgia; Pennsylvania; New Hampshire
Workplace: Remote
Chainalysis is the blockchain data platform. We provide data, software, services, and research to government agencies, financial institutions, cybersecurity companies, and more to help detect and prevent cryptocurrency crime and ensure compliance. Backed by top-tier investors, we are building the foundational data infrastructure for the future of finance.
The Finance and Strategy team at Chainalysis are strategic financial advisors to our leadership team and the Company. We strive to grow our processes, operations, and team to meet the rapidly expanding needs of the business. We seek to match the pace of innovation of the business and to deliver real time and meaningful insights to decision makers.
We are looking for a Senior Manager of Strategic Finance to join our Finance team at a critical inflection point in the company's growth. Reporting directly to the VP Head of Finance, you will be a key thought partner to senior leadership — supporting our long-term financial model, evaluating growth opportunities, driving capital allocation decisions, creating comprehensive pricing analyses, and building the analytical frameworks that guide how we invest across the business. The position blends rigorous analytics with clear executive communication and strong stakeholder management. It is a high-visibility, high-impact individual contributor role. You will work closely with the CFO, Finance leadership, and leadership throughout the Company on our most consequential strategic decisions.
In this role, you will:
Lead valuation work and TAM analyses and market research. Drive overall market analyses and competitive intelligence analyses
- Analyze current pricing and packaging models. Develop a deep understanding of market pricing trends related to AI and consumption. Learn the nuances of our public and private sectors, geographies, products, segments, etc. in and influence our pricing strategy
- Enhance and own the company's long-range financial model. Understand key business and industry drivers to build dynamic models that allow leadership to rapidly evaluate the financial impact of strategic decisions. Lead sensitivity analysis around macro factors relevant to the blockchain/crypto industry
- Scale the model and build it into our planning tool
- Create sophisticated financial models, and drive scenario analyses that inform major capital allocation decisions, including M&A, partnerships, and new market entry.
- Synthesize scenario outputs into clear, executive-ready narratives and recommendations
- Track post-investment performance against underwriting assumptions and surface learnings back into the planning process
- Serve as a trusted advisor to senior leadership on high-stakes questions. Understand the long-term impact of near-term decisions in order to make recommendations to leadership and the executive team
- Be operationally savvy. Understand the operational impacts of strategic work, and partner with the business to ensure suggestions are operationally feasible. Assist with the implementation of operational changes resulting from strategic decisions
What you need:
- 6–9 years of experience in investment banking, private equity, corporate finance, FP&A, or a similar analytical role
- Strong executive presentation skills - an ability to clearly and succinctly present complex topics to a C-level audience. Possess an investor mindset; ability to synthesize complex business dynamics into clear investment theses and risk-adjusted recommendations
- Strong business intuition — you connect financial outcomes to operational drivers and can tell the story behind the numbers
- Comfortable operating with ambiguity and making high-quality decisions with incomplete information
- Entrepreneurial orientation: eager to define and develop the strategic finance function, not just execute within it
- Excellent financial modeling skills, including the ability to work with large data sets in both Excel and Google Sheets
- Experience working at a SaaS, data, or technology company preferred. Familiarity with the blockchain, crypto, or Web3 industry is a strong plus but not required
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Paris
Workplace: OnSite
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 900 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
Voodoo’s Growth team is responsible for turning our games into successful products, combining user acquisition, creative, monetization, and data.
Within Growth, the Playable Ads team turns our games into short, interactive experiences designed to make players stop, play, and want more. Working closely with playable developers and creative teams, we design, produce, test, and iterate on playable ads across our 20+ game portfolio.
ROLE
As a Playable Ads Strategist, you’ll help shape how we advertise our games by combining creative thinking, performance analysis, and hands-on experimentation. You’ll explore what makes players engage, turn insights into new ideas, and help us build better-performing playable ads.
You will:
- Analyze the market and creative performance: benchmark competitor ads, review past campaigns, and identify what works, what doesn’t, and why.
- Develop and iterate on creative concepts: come up with new ideas, build on successful formats, and find ways to improve underperforming ads.
- Experiment and test: contribute to A/B tests, explore different gameplay mechanics and creative approaches, and use results to guide the next iteration.
- Get hands-on with creative production: create and tweak visual assets, UI elements, and ad variations when needed, making the most of AI-powered creative tools.
- Bring fresh ideas to the table: spot emerging trends, challenge existing approaches, and pitch creative concepts that could make our games stand out.
PROFILE
- Final-year student from a top engineering, business school (Programme Grande Ecole) or Gaming School looking for your end-of-study internship for January/February 2027
- Clear communicator, fluent both in English and French
- Strong analytical mindset; comfortable digging into data to make decisions
- Genuine interest in mobile apps, games, or performance marketing
- Autonomous and proactive; you'd rather figure things out than wait to be told
- Curious about AI-powered creative tools and visual creation software (e.g. Photoshop, Scenario, Seedance, Kling, Veo, Runway, etc).
- Proactive and autonomous, eager to experiment, bring new ideas, and challenge existing approaches.
- Able to analyze creative performance, spot trends, and turn insights into actionable ideas.
This opportunity starts as a final-year internship, and converts to a permanent contract based on performance.
- Start: January / February
- Duration: 6 months minimum
- Location: Paris (on-site)
BENEFITS
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Wellness activities in our Paris office
- Remote Fridays
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a
Senior
Solutions Architect
specializing in
Cloud infrastructure and MLOps
. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work remotely from
Singapore.
Your responsibilities will include:
Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
5+ years of experience as a cloud solutions architect, system/network engineer, developer or a similar technical role with a focus on cloud computing
Strong hands-on experience with IaC and configuration management tools (preferably Terraform/Ansible), Kubernetes, skills of writing code in Python
Solid understanding of GPU computing practices for ML training and inference workloads, GPU software stack components, including drivers, libraries (e.g. CUDA, OpenCL)
Excellent communication skills
Customer-centric mindset
It will be an added bonus if you have:
Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
#LI-DNI
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: San Francisco; Toronto; New York; Montreal; Seattle
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten is seeking talented and experienced Software Engineers to join our Platform team within the Infrastructure organization. As a member of Baseten's Platform Team, you will own the systems that let every engineer at Baseten prove their code works before it reaches production. Our product runs mission-critical AI inference for customers who measure downtime in dollars per second, which means our internal bar for correctness, performance, and failure tolerance has to be exceptional.
Your focus is the full testing stack: fast and reliable unit test tooling, integration harnesses that spin up realistic environments on demand, load and performance testing for GPU-backed inference workloads, and resilience testing that deliberately breaks things so our customers never have to find out what happens when a node dies mid-request. This is a builder role with org-wide leverage. You won't be writing tests for other teams — you'll be building the frameworks, harnesses, and feedback loops that make writing good tests the path of least resistance, and you'll set the standards for what "well-tested" means at Baseten.
RESPONSIBILITIES
- Own Baseten's testing strategy end to end — define the standards, the tiers, and the tooling that engineering teams build against.
- Build and maintain unit, integration, load and performance testing frameworks
- Design end to end test infrastructure that provisions realistic dependencies on demand — ephemeral Kubernetes namespaces, containerized service dependencies, etc.
- Build resilience and chaos testing capabilities: fault injection, network partition and latency simulation, pod and node failure scenarios, dependency degradation, and automated verification that our systems degrade gracefully and recover.
- Attack test suite reliability head-on — flake detection and quarantine, test impact analysis and selective execution, parallelization, and aggressive reduction of end-to-end CI wall time.
- Build observability into the testing layer itself: coverage reporting, test health dashboards, failure triage tooling, and clear signals about which areas of the codebase are under-tested.
- Create project templates and shared libraries so new services start with a complete testing setup on day one.
- Partner directly with product and infrastructure teams — embed where needed, understand their hardest testing problems, and turn one-off solutions into platform capabilities.
- Mentor engineers across the org on testing practice and raise the collective bar through code review, documentation, and internal advocacy.
REQUIREMENTS
- Strong proficiency in Go and/or Python, with hands-on experience building test tooling and libraries used by other engineers.
- Deep experience with testing frameworks and their internals — pytest, Go's testing package, testify, testcontainers, or equivalents — including the ability to extend them, not just use them.
- Experience designing integration test infrastructure for distributed systems, including ephemeral environment provisioning and dependency management.
- Practical experience with load and performance testing tools (k6, Locust, Vegeta, JMeter, Gatling, or similar) and the judgment to interpret results and drive action from them.
- Solid Kubernetes and Docker fundamentals — you can build test infrastructure that runs on and tests against real cluster environments.
- Advanced understanding of CI/CD, including how to keep large test suites fast, deterministic, and trustworthy at scale.
- A track record of measurably improving testing culture on an engineering team — you have opinions on what to test, what not to test, and where the ROI actually is.
- Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Kathmandu, Nepal; Lalitpur, Nepal
Top 3 Reasons To Join Us
100% Remote
International Environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Perform manual testing on new technologies
Identify and resolve simple quality process issues with little to no supervision and guidance
Write tests scenarios and run them during the testing process
Identify bugs and report it according to bug template with sufficient detail so that developers can investigate further
Perform API testing using tools like Postman or Swagger to validate request/response behavior
Report status to cross-functional teams
Execute on defined tasks according to guidelines and contribute to solving problems with defined solutions
Provide support with the team proactively
Mastering your craft and leveraging it for greater impact
What We Need
At least 4 years of experience in using manual testing tools and procedures in an agile environment
Hands-on experience in manual API testing (e.g., using Postman, Swagger, or similar tools), including validating endpoints, status codes, and response payloads
Deep understanding of QA theory
Good level of understanding of the software development life cycle and lean/agile QA methodologies
Enjoy working in a group and collaborating with cross-functional teams to get things done
Good communication in English is a must
Continuous learning of innovative approaches to testing and best-practices around it
Share new ideas and can adapt to work when circumstances change
Why You'll Love Working Here
Competitive renumeration package
International Environment
Paid annual leaves
Health Insurance
Annual Performance Bonus
Remote Work Allowance
Anniversary Bonus
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Kathmandu, Nepal; Lalitpur, Nepal
Top 3 Reasons To Join Us
Competitive Salary
International environment
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You Will Do
Perform manual testing on new technologies
Identify and resolve simple quality process issues with little to no supervision and guidance
Write tests scenarios and run them during the testing process
Identify bugs and report it according to bug template with sufficient detail so that developers can investigate further
Report status to cross-functional teams
Execute on defined tasks according to guidelines and contribute to solving problems with defined solutions
Provide support with the team proactively
Mastering your craft and leveraging it for greater impact
What We Need
Minimum 2 years of experience in using manual testing tools and procedures in an agile environment
Deep understanding of QA theory
Good level of understanding of the software development life cycle and lean/agile QA methodologies
Enjoy working in a group and collaborating with cross-functional teams to get things done
Good communication in English is a must
Continuous learning of innovative approaches to testing and best-practices around it
Share new ideas and can adapt to work when circumstances change
Why You'll Love Working Here
International Environment
Full Remote Work
Competitive remuneration package
Paid Annual Leaves
Annual Performance Bonus
Health Insurance
Remote Work Allowance
Work Anniversary Bonus
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
ГибридNoida, India
УдалённоheadRemote USA
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