Location: Bangalore, India
About the company
Our mission is that “Any financial application can onboard any user, anywhere in the world, in 1 click.”
Transak provides onboarding to financial applications through authentication, KYC, risk checks, and fiat on/off ramps. This is a next generation of infrastructure for the next generation of financial applications that are built on blockchain and stablecoin rails. Our API and widget-based solutions are used by top partners like MetaMask, Coinbase, Ledger, and Trust Wallet to enable seamless onboarding of over 10 million users across over 450 active applications.
We have raised over $37M from top-tier investors including Consensys, Tether, and Animoca Brands.
About the role
We are looking for a Software Development Engineer 1 (Backend) to build and scale the APIs and services that power Transak's global on/off ramp platform. You will work primarily with Node.js, MongoDB, and Redis in a microservices environment, shipping production features that are used by millions of users across our partner applications.
This role is ideal for an engineer with 2–5 years of experience who writes clean, well-tested code, cares about correctness and performance, and wants to grow into owning services end-to-end. You will collaborate closely with senior engineers, product, and other pods, learning how we design for scale, reliability, and security in a regulated fintech environment.
Key Responsibilities
API & Service Development
Build, test, and maintain RESTful APIs and backend services in Node.js.
Model data effectively in MongoDB and use Redis for caching, queues, and rate limiting.
Contribute to microservices with clean, readable, and well-documented code.
Quality & Reliability
Write unit and integration tests; participate in code reviews.
Debug, profile, and fix issues in staging and production.
Follow secure coding practices in a compliance-sensitive domain.
Collaboration & Delivery
Understand the
product and business context
behind engineering requirements and contribute to shaping solutions, not just implementation.
Break down tasks, give reliable estimates, and ship iteratively.
Work with senior engineers on design and integrate feedback quickly.
Coordinate with frontend, product, and other backend pods on shared contracts.
Learning & Growth
Ramp up on distributed systems concepts and asynchronous communication patterns.
Proactively improve areas of the codebase you touch.
What We’re Looking For
2–5 years
of backend development experience.
Strong hands-on experience building APIs with
Node.js
.
Working experience with
MongoDB
and
Redis
.
Exposure to a
microservices
architecture.
Solid fundamentals in data structures, algorithms, and problem solving.
A good team player who collaborates well and gels easily with the team.
Strong problem-solving ability and product thinking — able to understand the underlying user/business problem, break down ambiguous requirements, evaluate trade-offs, and propose practical solutions rather than simply executing predefined tasks.
Nice-To-Haves
Exposure to distributed systems complexity (consistency, idempotency, retries, failure handling).
Experience with asynchronous communication (message queues, event-driven patterns, pub/sub).
Understanding of frontend systems and how they consume backend APIs.
Experience in high-growth fintech or Web3 startups.
Location: Philippines
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.
TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.
Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on:
- Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans.
- Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately.
- Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs.
- Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes.
- AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy.
CORE RESPONSIBILITIES:
New Customer Onboarding
- Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans.
- Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed.
- Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately.
- Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up.
Account Health Management
- Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement.
- Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks.
- Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans.
- Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups.
- Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals.
Workflow Mapping (IER Framework)
- Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates.
- Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency.
- Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards.
- Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers.
AI Enablement & Agent Deployment
- Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices.
- Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists.
- Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption.
- Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows.
- Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways.
Customer Success & Expansion
- Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts.
- Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up.
- Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy.
Cross-Functional Collaboration
- Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts.
- Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples.
- Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context.
CORE SKILLS & COMPETENCIES:
Technical Acumen
Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.
AI Expertise
Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.
Consultative Discovery
Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.
Project & Program Management
Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.
Data & Reporting
Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.
Customer Engagement
Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.
Account Ownership
Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.
Collaboration & Influence
Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations.
AI-NATIVE CANDIDATE EXPECTATIONS:
- Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes.
- Can speak concretely about where AI added value, where human judgment was still required, and how success was measured.
- For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture.
INTERVIEW SIGNAL:
BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Dubai, United Arab Emirates
We are currently hiring for a growing Dubai-based real estate agency (brokerage) focused on providing reliable property solutions to residents, investors, and businesses.
We work across residential, commercial, off-plan, secondary, and investment properties, helping clients make informed decisions in Dubai's dynamic real estate market.
As we continue to expand, we are looking for motivated, sales-driven, and knowledgeable Property Consultants to join our team on a commission-based basis.
As a Property Consultant, you will be responsible for building and managing client relationships, identifying suitable properties, conducting viewings, negotiating transactions, and supporting clients throughout the buying, selling, and rental process.
The ideal candidate should have a good understanding of the Dubai/UAE property market and be comfortable working in a fast-paced, target-driven environment.
Only candidates currently based in the UAE will be considered.
This is a
commission-based opportunity
and is best suited for motivated property consultants who are looking to build a strong pipeline and grow their earnings through performance.
Key Responsibilities
Generate and develop new client relationships through networking, referrals, prospecting, and other business development activities.
Assist clients with buying, selling, and renting residential and commercial properties.
Maintain and manage multiple property listings and client requirements.
Provide clients with accurate information on property prices, market trends, locations, and investment opportunities.
Conduct property viewings and presentations.
Negotiate offers and facilitate transactions between buyers, sellers, landlords, and tenants.
Build and maintain a strong pipeline of potential clients and opportunities.
Stay updated on Dubai real estate market trends, new developments, regulations, and investment opportunities.
Maintain accurate records of clients, listings, and transactions.
Work closely with the team while also managing your own client portfolio independently.
Deliver a professional and high-quality client experience throughout the transaction.
Requirements
Minimum 1 year of experience in the Dubai/UAE real estate market.
Knowledge of the
off-plan market, secondary market, or both
.
Solid understanding of the Dubai property market, local regulations, and market trends.
Strong sales, negotiation, communication, and relationship-building skills.
Fluency in
English
is mandatory.
Additional languages such as Russian, Mandarin, Arabic, French, German, Spanish, Farsi are highly desirable.
Valid UAE driving license is mandatory.
Ability to manage multiple listings, clients, and transactions effectively.
Self-motivated, ambitious, and sales-driven.
Ability to work independently while contributing effectively as part of a team.
Comfortable working in a fast-paced, on-site environment.
Benefits
Competitive commission structure.
Full access to both off-plan and secondary markets with no area restrictions.
Premium property portal access.
Company resources and marketing support.
Diverse, friendly, and lively working environment.
Opportunity to grow with a fast-growing Dubai brokerage.
Access to a broad range of property opportunities across the Dubai market.
Client: A global online sports betting company dedicated to building world-class technology products.
Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery.
Responsibilities:
— Design, build, and maintain data and reporting solutions using modern technologies.
— Test and develop Integration layer changes, ensuring user stories meet quality standards.
— Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations.
— Perform comprehensive test analysis and collaborate across cross-functional Agile teams.
Requirements:
— 3+ years of demonstrated experience with validation in Databricks.
— In-depth experience in developing and maintaining automated test suites.
— Proficiency in Python (preferred) and SQL.
— Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure).
— Strong skills in Database, ETL, Big Data, and API validations.
— Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git).
— Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL).
— Solid background in Agile ways of working.
Nice to have:
— Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK).
— Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL).
— Experience using Jira and XRAY for test management.
— Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki).
What We Offer:
— Vacation days: Up to 26 business days per year.
— 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types.
— Health and life insurance (Luxmed).
— MyBenefit platform with Multisport option.
— Internal psychological support service.
— English language classes from the first working day.
— Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training.
— Flexible workplace: work from the office, from home, or choose a hybrid option.
— Tech Skills Mentoring Program.
— Opportunities to develop as a public speaker, mentor, or technical interviewer.
— Fully paid idle (bench) when not involved in a project.
— Certification reimbursement (AWS, GCP, Microsoft, etc.).
УдалённоseniorГеография найма не уточнена, офис: Wrocław
Задачи:
— работа над проектом международного телеком-оператора, развивающего покрытия 3G/4G по всей России;
— участие в изменениях, улучшениях, запуске новых направлений проекта.
Требования:
— опыт работы в роли QA Automation Engineer (Python) от 3-х лет;
— наличие законченного высшего IT-образования;
— опыт написания автотестов на Python с использованием pytest для backend и UI;
— опыт работы с подходами Playwright по аутентификации (Storage state, cookies, storage);
— уверенное знание SQL;
— работа с базами данных через ORM;
— опыт работы с брокерами сообщений Kafka;
— понимание клиент-серверной архитектуры и HTTP-протокола;
— опыт работы с Git;
— базовые знания по настройке CI для автотестов;
— навыки интеграционного тестирования, включая подготовку данных и мокирование;
— навыки нагрузочного тестирования с использованием JMeter;
— навыки параллельного запуска автотестов с Pytest XDist;
— использование Pydantic и JSON-схем для валидации ответов, мокирование запросов через page.route;
— опыт параметризации фикстур и тестов, multi-page сценарии в Playwright;
— навыки мобильного тестирования;
— анализ утилизации ресурсов сервера при нагрузке;
— понимание системного промта и его влияния на ответы LLM;
— знание принципов SOLID и DDD;
— понимание разницы между инженером по качеству и автоматизатором;
— понимание концепции мокирования.
Будет плюсом:
— опыт работы с RabbitMQ;
— понимание RAG-систем;
— знание промт-инъекций;
— опыт тестирования LLM с подходом LLM-as-a-judge;
— понимание галлюцинаций в ответах LLM;
— написание пайплайнов CI/CD.
Условия:
— хорошая зарплата, уровень обсуждается индивидуально, есть доплаты за менторство и профактивности;
— долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review;
— выбор формата работы: удалённо, офис, гибрид, релокейт между офисами;
— доступ к корпоративному порталу, митапам, конференциям (в том числе как спикер);
— социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные;
— корпоративные мероприятия, тимбилдинги, детские праздники.
Офисы компании расположены в Москве, Санкт-Петербурге, Казани, Ростове-на-Дону, Нижнем Новгороде и Самаре.
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
Location: Remote / Germany
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
Role
As Group ISB, you own the information security strategy, programme, and posture of the Vektor Group, from strategy to hands-on execution. You work in close operational partnership with the Director of Internal IT on technical controls and implementation. Your core mandate is ISO 27001 certification on the basis of BSI IT-Grundschutz, together with NIS-2 compliance: from gap analysis and controls implementation through audit readiness, ongoing maintenance, and the regulatory obligations arising under both frameworks.
We build AI platforms for customers in the defence and government sector. Information security is a precondition for our business, not an afterthought. We are building the security organisation while the group grows. During this phase, everyone including leadership works hands-on: day-to-day operational security, direct support for the IT team, and tasks outside the boundaries of a traditional governance role. External consultants support the ramp-up. As the ISMS and the team mature, the balance shifts toward strategy and governance.
What you'll do
Build and operate the group-wide ISMS following BSI standards 200-1/200-2/200-3: structure analysis, protection needs assessment, modelling, risk analysis
Create and maintain the security policy framework and processes at group level; coordinate company-specific additions
Prepare and accompany ISO 27001 certification, run internal audits, work with external auditors
Implement NIS-2 obligations: reporting processes, evidence management, corrective action tracking
Manage risk across technical and organizational domains, including reporting to executive management
Steer external consultants and service providers within the running programme
Build and run the security awareness programme: training and sensitization
Own incident response planning and coordinate during incidents, together with IT, Legal, and leadership
Assess third-party and vendor risk, run security assessments for new tools and partners
Work closely with the Director of Internal IT (technical controls: access governance, endpoint security, identity) and with platform engineering (interface to product security)
Support sales and customer trust processes: security questionnaires, due diligence, customer audits
Track further regulatory requirements (EU AI Act, Cyber Resilience Act, among others) and derive required action
About you
Several years of experience as an ISB or in comparable responsibility for information security
Proven practice with BSI IT-Grundschutz: BSI standards 200-x and the Grundschutz-Kompendium, ideally including a completed certification procedure
Experience building or leading ISO 27001 programmes, from gap analysis to audit readiness
Solid risk management: you assess, prioritize, and communicate risk clearly to technical and non-technical audiences
Willingness to work hands-on during the build-up phase
Confident interaction with executive management, auditors, and customers
German at C1 or above, English at B2 or above
Nice-to-haves
Certifications: IT-Grundschutz-Praktiker/-Berater, ISO 27001 Lead Implementer or Lead Auditor, CISSP, CISM
Experience with security governance across multiple legal entities or jurisdictions
Experience in regulated environments: defence, government, critical infrastructure; familiarity with VS-NfD, Geheimschutz, or AQAP
Practical NIS-2 implementation experience
Experience with sales-adjacent security processes (pre-sales, customer audits)
What we offer
Remote-first, Germany-wide:
Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.
Flexibility by default:
Flexible working hours help you make work fit your life.
Your setup, your way:
Get a personal home-office equipment budget to create a workspace that works for you.
30 days of vacation:
Take the time you need to recharge and come back with fresh energy.
Keep growing:
We invest in your personal and professional development.
Get rewarded for impact:
Performance bonuses are tied to agreed objectives and key results.
A warm welcome:
Every new team member gets a welcome goodie bag.
Good people, good times:
From summer and Christmas parties to regular team gatherings, we make time to celebrate together.
A mission that matters:
Work on challenges with tangible impact on public safety and national security.
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.
As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk.
The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus!
What you’ll do
Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants
Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants
Investigate and use new sources of third party data to assess merchant financial risk
Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants
Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation
What we look for
3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting
Experience working with cross functional partners across the organization, especially Sales and Business Development teams
Experience reviewing financial documents, business credit reports and payment processor statements
Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution
Compensation & Benefits
Base Pay Grade - G
Equity Grade - 3
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: £66,000 - £76,000
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: Metro Manila; Bangkok; Kazakhstan
Workplace: Hybrid
📍 Manila, Philippines | Relocation required
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role:
You'll lead the Finance side of the core banking system project — turning accounting needs, regulatory obligations, and product-administration realities into system requirements, and delivering against them.
What you'll do:
- Lead the core banking system project from the Finance side: own the plan end to end — scope, milestones, dependencies, and risk tracking — and act as Finance's subject-matter voice across vendor selection, design, and rollout.
- Run UAT, data-migration validation, and cutover planning from the Finance side, coordinating closely with IT/Engineering and vendors.
- Connect the dots across Finance, IT/Engineering, and Compliance — surfacing regulatory gaps tied to system limitations and helping close them, and keeping Finance leadership informed on progress, risk, and dependencies.
What you'll own:
- Turn accounting needs, regulatory obligations (such as BSP/MORB), and product-administration realities into concrete system requirements, and manage delivery against them.
- Build and drive the accounting-backlog remediation plan with real milestones, pulling in Finance colleagues and outside help where it makes sense.
- Get month-end and period-end close and reporting, based on the core banking system, integrated directly with the GL — and keep it that way.
- Take the Odoo accounting-automation work into properly owned, documented, controlled, and audit-ready process.
- Identify and prioritise efficiency gains — automating manual entries, reconciliations, and reporting, using AI where it applies — to cut team effort and errors.
- Contribute to IPO-readiness work wherever it touches financial systems and controls.
What makes you a strong fit:
- 10+ years of experience with a strong track record in finance/accounting project management.
- A solid grip on accounting fundamentals and the close process.
- Proven automation experience — you've led or driven process-automation initiatives, not just used automated tools — including practical Odoo (or a comparable ERP) experience for accounting automation.
- Strong IT literacy: comfortable with system architecture, data flows, and technical requirements — enough to bridge Finance and IT/Engineering without a translator.
- Strong project-management discipline: scoping, milestone tracking, risk management, and stakeholder communication across Finance, IT/Engineering, and Compliance.
- Ability to turn messy, ambiguous problems into a plan with real milestones.
What we offer:
OWNERSHIP AND FLEXIBILITY
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first work environment
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
HEALTH AND TIME OFF
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
RELOCATION AND FAMILY SUPPORT
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- USD 2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18
GROWTH AND TEAM EXPERIENCE
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: Tel Aviv, Israel
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
Nebius
is looking for a Security Risk
Lead
to strengthen security risk management across our global AI cloud infrastructure, products, business operations, and strategic programs.
This is a senior, hands-on individual-contributor role with end-to-end ownership of security risk assessments, the security risk register, remediation tracking, risk acceptance, and risk reporting. The successful candidate will work closely with engineering, cloud infrastructure, product, security, compliance, legal, and business teams to ensure that material risks are
identified
early, assessed consistently, and driven toward clear treatment decisions.
The role requires strong judgment, technical understanding, and the ability to influence stakeholders without relying on formal authority.
Your responsibilities will include
Risk Assessment
Lead security risk assessments for infrastructure, cloud environments, products, applications, business processes, and major technology changes.
Conduct risk assessments for new initiatives, systems, and significant changes, including supporting M&A-related risk assessment work alongside the due diligence team.
Evaluate the design and effectiveness of controls and identify residual risk following mitigation.
Identify emerging and systemic risks that may affect multiple services, regions, or business functions.
Risk Register & Tracking
Maintain the security risk register: log new risks, update status, track owners, and follow items through to remediation or formal risk acceptance.
Support the ongoing refinement of Nebius's risk assessment and risk register processes, contributing improvements as the practice matures.
Coordinate with other GRC functions on findings and gap assessments that carry risk implications, and independently determine whether a given finding warrants a risk register entry.
Metrics & Reporting
Maintain and improve security risk assessment, scoring, prioritization, and acceptance processes.
Define and monitor meaningful Key Risk Indicators and risk trends.
Translate complex technical risks into clear business impact for senior leadership and governance forums.
Prepare risk reporting that supports security posture reviews, strategic decision-making, and Board-level reporting.
Support auditors, customers, and internal stakeholders on security risk management matters.
Cross-Functional Coordination
Work closely with other GRC functions to ensure risk assessments reflect current operating reality.
Partner with engineering and business stakeholders to embed risk thinking into day-to-day decisions, building trust through clear, practical communication rather than formal authority.
Build trusted relationships with risk and remediation owners while maintaining independent and objective judgment.
We expect you to have
5-8 years of experience in security risk management, IT risk, GRC, or a closely related discipline.
Hands-on experience running risk assessments and maintaining a risk register, including driving items through to remediation or formal risk acceptance.
Solid understanding of risk scoring and prioritization approaches, and the judgment to apply them consistently and defensibly.
Ability to define and track meaningful risk metrics/KRIs for leadership reporting.
Strong organizational and analytical skills, with the ability to manage multiple concurrent risk items without losing accuracy or follow-through.
Strong communication and stakeholder management skills; comfortable working across security, compliance, engineering, and business teams.
Familiarity with cloud infrastructure and technology environments is an advantage.
Relevant certifications (e.g., CRISC, CISSP) are an advantage, not a requirement.
Bachelor's degree in information security, computer science, engineering, or a related field preferred; equivalent practical experience will be considered.
Excellent written and verbal communication skills in English.
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: London, England, United Kingdom
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Software Engineer III - Data - FMX
United Kingdom
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Data Engineer III
About the Role
We're looking for a Data Engineer III to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output.
You'll implement features and fixes against a given design, handle known classes of pipeline issues on your own, and escalate genuinely novel problems with clear context rather than working them in isolation. You're also expected to start contributing meaningfully in code review — catching real bugs, not just style nits.
What You'll Do
Implement new ingestion sources end-to-end against a senior engineer's design — connector code, DAG, schema, monitoring, and catalog registration — extending the team's existing framework where a new source needs a pattern it doesn't yet support
Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to escalate
Before shipping a new pipeline, identify downstream consumers and what would break if data were late or wrong, and flag gaps like this during spec review — before writing code
Write clear handovers when escalating a genuinely unresolved issue — what you tried, what you ruled out, and where things diverge — so a senior can pick up without re-discovery
Review peers' pipeline PRs and catch non-obvious issues (e.g., missing idempotency checks, race conditions) that could cause incorrect downstream data
Turn ambiguous "why is this data wrong?" questions into structured investigations — tracing data lineage from source to warehouse and communicating back what you found
Surface concerns in spec review as specific, well-reasoned questions rather than staying silent or blocking progress
Support data security and governance work (e.g., PII masking, access controls) and contribute to data delivery work, including reverse ETL integrations
Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work
Mentor DE2s on their first significant projects — pairing on tricky decisions and helping them apply team conventions
What We're Looking For
3–5 years of professional software or data engineering experience
Strong SQL and Python skills, with solid experience building and operating production data pipelines
Comfort investigating and root-causing pipeline issues independently before escalating
Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar)
Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing
Experience giving substantive code review feedback, not just style or formatting comments
Strong communication skills — can write a clear technical handover, ask sharp questions in spec review, and explain a data lineage investigation to a non-technical stakeholder
A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction
Nice to Have
Experience extending or building reusable pipeline frameworks/templates
Exposure to reverse ETL tools or patterns, PII masking, or data access governance (RBAC)
Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
Some experience mentoring or informally supporting more junior engineers
Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
Why Join Us
Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones
Work on high-visibility, high-trust systems that the business depends on
A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Aston — аккредитованная аутсорсинговая IT-компания с 2007 года, штат 2500+ специалистов. Разрабатывает ПО и IT-решения в Finance, Healthcare, eCommerce, IoT, Media, Big Data, ML и др. Ищет QA Automation Engineer (Python) для работы над проектом международного телеком-оператора, развивающего 3G/4G покрытие по РФ.
Задачи:
— работа в квалифицированной команде на проекте с современным техническим стеком;
— участие в изменениях, улучшениях, запуске новых направлений.
Требования:
— опыт работы QA Automation Engineer (Python) от 3 лет;
— высшее IT-образование;
— написание автотестов на Python+pytest: backend и UI;
— опыт с Playwright по аутентификации (Storage state, cookies, storage);
— уверенное знание SQL;
— работа с БД через ORM;
— опыт работы с брокерами сообщений Kafka;
— понимание клиент-серверной архитектуры и HTTP;
— опыт работы с Git;
— базовые знания настройки CI для автотестов;
— навыки интеграционного тестирования, подготовка данных, мокирование;
— навыки нагрузочного тестирования (JMeter);
— навыки параллельного запуска автотестов (Pytest XDist);
— использование Pydantic vs JSON-схем для валидации ответа, мокирование запросов через page.route;
— опыт параметризации фикстур vs параметризация тестов, multi-page сценарии в Playwright;
— навыки мобильного тестирования;
— анализ утилизации ресурсов сервера при нагрузке;
— понимание системного промта и влияния на ответы LLM;
— знание SOLID и DDD;
— понимание разницы между инженером по качеству и автоматизатором;
— понимание концепции мокирования.
Будет плюсом:
— опыт работы с RabbitMQ;
— понимание RAG-систем;
— знание промт-инъекций;
— опыт тестирования LLM с подходом LLM-as-a-judge;
— понимание галлюцинаций в ответах LLM;
— написание пайплайнов CI/CD.
Условия:
— хорошая зарплата, обсуждается индивидуально, доплаты за менторство и профактивности;
— долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review;
— релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников;
— доступ к корпоративному порталу, митапам, конференциям (как гость и спикер);
— социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные;
— корпоративные мероприятия: тимбилдинги, детские праздники, внутренние события.
Офисы: Москва, Санкт-Петербург, Казань, Ростов-на-Дону, Нижний Новгород, Самара.
Location: Jakarta
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
The role is working within our studio: Ludios
About Ludios
Ludios takes its name from the Latin, it means "The Game People". Led by Eyal, one of the co-founders of Tripledot Studios, and some of the most experienced people in mobile games, we are a studio that makes and publishes our own casual, free-to-play mobile games. Our team is based across APAC, with the majority of our development happening in Jakarta and Melbourne. We are data-driven, creative, and genuinely passionate about the industry we work in. Right now, we are working on a number of exciting projects, including one built around a globally recognised IP, alongside several original titles we are equally excited about. If crafting games and reaching millions of players is what gets you out of bed, we would love to hear from you.
Role Overview
We are looking for a Unity Software Engineer to join our team!
At Tripledot we work collaboratively in a productive, Agile team environment. You will be working primarily in Unity, collaborating with our product and design team to add new and exciting game features, build tools and help to maintain good health of the game on both IOS and Android.
Implement gameplay features in Unity.
Develop new titles, features and support live operations.
Optimize code & memory for high performance on iOS and Android.
Design and plan architecture, implement maintainable code.
Review code and write unit tests..
Required Skills, Knowledge and Expertise
Strong architectural, design pattern and OOP experience.
Understanding of SOLID Principles is a must.
At least 5+ years of experience working with Unity and C# as a programmer
A “Can Do” mentality that drives improvement and meeting deadlines.
Strong mobile gaming and liveops system background is a plus.
Experience with prototyping but also extending a large legacy project.
Experience with Deep Profiler, Frame Debugger, Memory Profiler.
Experience with Unity UI and gameplay programming.
Experience with Git or other source control systems.
Experience in working with existing code bases.
Experience with GLSL/HLSL and ShaderGraph is a plus.
Excellent English skills, both written and verbal
Working at Tripledot
Hybrid Working:
We work in the office 4 days a week, Monday to Thursday.
20 days fully remote working:
Work from anywhere in the world, 20 days of the year.
Regular company events and rewards:
Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.
Breakfast & Lunch:
Relish daily provided breakfast and lunch to keep you fueled and focused.
BPJS HEALTH:
Elevate your well-being and peace of mind, ensuring robust health security with seamless enrolment in BPJS Health!
BPJS SOCIAL:
Secure your employment rights with BPJS Social.
Festivity Allowance:
Celebrate festive occasions with an additional festive allowance.
Health Insurance:
Stay covered with comprehensive health insurance for you and your loved ones.
Employee Assistance Program:
Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
Location: Chile
FP Markets Group of Companies
is a well-established multi-regulated broker, found in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time
Business Development Manager
in Chile.
We are seeking an experienced and results-driven Business Development Manager to drive the growth of our company in the region of Chile. The ideal candidate will have a strong background in financial markets, a proven track record of acquiring and managing clients or partners (such as IBs and affiliates), and a deep understanding of the retail and/or institutional trading landscape.
Responsibilities:
Identify, develop, and onboard new Introducing Brokers (IBs), affiliates, and partners particularly in Chile
Drive client acquisition and revenue growth through direct outreach, referrals, events, and partnerships
Develop and execute business development strategies in line with company goals
Build and maintain strong relationships with new and existing clients, partners, and affiliates
Monitor competitor activities, market trends, and regulatory changes in the FX/CFD industry
Collaborate with marketing and compliance teams to ensure campaigns and partnerships are aligned and compliant
Prepare regular reports, forecasts, and pipeline updates for the Regional Director
Represent the company at industry events, expos, and webinars
Candidate Profile:
2+ years of experience in a business development/sales role within the Forex / CFDs or financial trading industry is a must
Strong network of IBs, affiliates, or HNW retail/institutional clients
Solid understanding of MT4/MT5,cTrader and TradingView platforms, and the structure of brokerage services
Native Spanish and fluent in English
Excellent communication, negotiation, and interpersonal skills
Self-motivated, goal-oriented, and comfortable working independently or in a remote environment
Understanding of compliance and regulatory requirements
Our offer:
Welcoming, young and multicultural team with approachable leadership
Ability to contribute to dynamic business at a growth phase
High level of autonomy, support of ideas and putting your expertise into the best practices for the company
Continuous personal development, training budget, growth with the company and opportunity to learn from industry leaders
Competitive remuneration, regular salary reviews and performance-based incentive schemes
Vibrant company life: from team activities to global celebrations
Corporate equipment
Fully remote work
Journey to FP Markets:
Interview with HR
Interview with the Hiring Manager
Presentation of Business Plan to the Head of Business Development
Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!
Location: San Francisco, CA | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Procurement Operations is the front door for buying at Anthropic. We sit inside Finance Operations and own the path from “I need to buy something” to a signed agreement, an accurate purchase order, and clean spend data at month-end.
We are hiring a Procurement Operations Business Partner to own that path for our research organizations and the special programs that spawn out of it. This portfolio behaves differently from the rest of the company in that it purchases goods and services from highly-specialized vendors and new programs regularly appear with real purchasing needs before any process exists for them. You will be the person who makes all of that feel simple to the researchers and program leads who depend on it, and reliable to the Finance stakeholders behind it. This is a high-volume role with an accounting core. You ensure every purchase in the portfolio is coded, dated, received, and accrued correctly, so research spend is right in the books every month. Expect a steady queue of requests, work orders, and change orders, and expect to be the person Accounting trusts on all of it.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native procurement operations function looks like, including how AI changes intake, document review, vendor coordination, and requester support.
Responsibilities
Own the purchasing path for R&D
Manage a high volume of purchase requests, work orders, and change orders each month across research teams and programs, keeping speed and accuracy high at the same time.
Serve as the primary procurement partner for Anthropic's research teams and special programs, guiding requesters from initial request to signed agreement and issued purchase order.
Review every purchase request in your portfolio for the things that matter downstream: the right vendor record and contracting entity, complete commercial documents, correct spend categorization and service dates, and the approvals the purchase actually needs.
Determine what each request requires before it can move, whether that is a statement of work, an order form, an amendment, a security or privacy review, or a third party risk assessment, and route it to the right reviewers the first time.
Launch and track contract review with Legal, keep it moving, and confirm the executed agreement supports the purchase order before it is issued.
Structure purchase orders so they match how the vendor bills (fixed fee, milestone, per-unit, or usage in arrears) and how Accounting needs to see the spend, with the right GL account, cost center, and service period on every line. Manage change orders, renewals, and closures over the life of each agreement.
Act as the dedicated operations partner for our research services vendor portfolio, where engagements are structured as master agreements with frequent work orders and scope changes, and where speed and documentation discipline both matter.
Handle the mechanics that come with hardware, equipment, and lab purchasing, including multi line quotes, lead times, shipping and receiving, and asset handoffs.
Financial completeness & accuracy
Code every purchase order correctly at creation, including GL account, spend category, cost center, and service period, and understand how each choice lands in the financials (expense vs. prepaid, capitalized equipment vs. operating spend).
Work the hard cases with Accounting: services that span periods, partially delivered milestones, per-unit work billed in arrears, credits and true-ups, and work orders amended mid-month.
Own the open purchase order book: receipts recorded against actual delivery, periodic reviews, stale line cleanup, coding corrections, and timely closures, so PO, receipt, and invoice agree.
Serve as the first line reviewer for month end accruals on your portfolio, gathering estimates from vendors and budget owners for variable spend and confirming or correcting proposed amounts so Accounting can close on time.
Partner with Accounts Payable to resolve invoice holds, PO mismatches, and receiving questions so vendors are paid on time and spend lands where it belongs.
Support audit and reporting requests that touch your portfolio, including commitment schedules and control evidence, with data you can stand behind.
Stand up new programs
Be the first procurement call when a new research program or initiative spins up. Scope what they will buy and how often, agree a right sized path with Legal, Security, and Finance, and have it working before volume arrives.
Run a regular pipeline check in with your highest velocity teams so upcoming purchases are visible early and nothing urgent arrives as a surprise.
Translate procurement, legal, security, and finance requirements into plain language for researchers and engineers, and carry their operating reality back to those teams so controls fit the work.
Be the front door
Be visible and responsive in your teams' Slack channels and office hours; answer routine purchasing questions quickly and escalate real blockers with context.
Apply purchasing policy consistently and explain the why, including approval thresholds, signature authority, and when an exception is and is not available.
Continuous improvement
Maintain the playbooks, intake guidance, and standard operating procedures for your portfolio so the path is repeatable and does not live in one person's head.
Identify manual steps, repeat questions, and failure points and fix them, including where Claude and workflow automation with AI can take work off requesters and the team.
Minimum qualifications
Proven track record of owning a high-volume purchasing portfolio end-to-end in procure-to-pay and intake platform.
Solid working knowledge of accrual accounting as it applies to purchasing: accruals and reversals, service period and cutoff, prepaid vs. expense, and GL and cost center coding. You can explain how a purchase order becomes an entry in the general ledger.
Experience supporting outsourced or managed service vendors at scale, where scope and volume move month to month and the contracts, purchase orders, and invoices have to keep up with each other.
Working knowledge of how contract review, security and privacy review, and financial controls fit together in a purchase, and the judgment to know when to push a request through and when to slow it down.
Preferred qualifications
5-7+ years of procurement operations, purchasing, or vendor operations, including time supporting a research, engineering, hardware, or outsourced services organization.
Experience as the embedded procurement partner for a hyper scaling data operations, ML, RL, and lab environments
Time at a hypergrowth technology company scaling procurement operations for outsourced or vendor delivered work.
Background in accounting, accounts payable, or a month-end close process, including experience with three-way match
Sourced human data, data labeling, annotation, or evaluation vendors (or comparable BPO and outsourced operations) with a point of view on where that market is heading
Direct experience with Zip, Workday Financials, and Ironclad.
Prior ownership of month end accrual review or open PO reconciliation for a large, variable spend portfolio
Experience designing tiered intake or approval frameworks that sped up low risk purchases without weakening controls.
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:
$190,000
—
$230,000 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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
Who we want
We are seeking exceptional Software Engineering Interns for our 10-week summer program in New York City. As a core member of our engineering team, you'll build and launch features that directly impact real people — helping our members find top doctors and manage medical claims with ease.
You'll work alongside a passionate, multidisciplinary team of engineers, designers, and product managers, taking ownership of meaningful problems in a fast-paced, agile environment. This is hands-on experience building the systems that power our mission: transforming the healthcare economy to deliver high-quality, affordable care for all.
Select interns will be offered full-time roles upon successful completion of the program.
What you will do
Use AI to build, optimize, and maintain software systems
Collaborate across disciplines to understand our domain and iterate on projects
Participate in code reviews, sharing your insights and learning from others
Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued
Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact
What we're looking for
Currently pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028)
Solid CS fundamentals with exposure to front-end (JavaScript, React) or back-end (Python, Node.js) technologies; familiarity with databases or cloud platforms (AWS, Docker) is a plus
Exposure to or interest in building with AI coding agents (we use Claude Code) is a plus
Strong problem-solver who enjoys breaking down challenges and finding elegant solutions
Self-starter who takes ownership of their work and is motivated by real-world impact
Clear communicator who can discuss technical ideas with both technical and non-technical audiences, and takes feedback well
Excited by fast-paced environments and eager to stretch their skills
A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics
What you’ll get here
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation
The weekly pay rate for this role is $2,400. In addition to base compensation, this role is eligible for a housing stipend.
Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
УдалённоPhilippines; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Dubai, United Arab Emirates
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ГибридMetro Manila; Bangkok; Kazakhstan; 📍 Manila, Philippines | Relocation required; RELOCATION AND FAMILY SUPPORT; Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics; Reimbursement of eligible pet relocation expenses
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