Location: Barcelona, Spain
Workplace: remote
Welcome to OLX
We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.
We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.
Our brands – including AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.
Join OLX and see how far you can go.
We believe the future of our products sits at the intersection of AI and design. Our ambition is to become an AI-native organization, where intelligent systems and human-centered design come together to create faster, smarter, and more meaningful customer experiences. We’re rethinking how products are built, how experiences are shaped, and how teams deliver impact.
A key part of this transformation is creating the right foundations and infrastructure to enable high-quality experiences at scale - where design systems, patterns, and workflows are structured, scalable, and AI-readable, unlocking new levels of speed, consistency, and innovation.
The role
We're looking for a Senior Product Designer to join our Design System team, working across our Real Estate products. You'll play a key role in evolving our design system, helping designers and engineers across the business design and build with greater consistency, quality and pace.
You'll work day to day within a small, dedicated pod, spanning web and app. But the system serves designers across multiple tribes, each shipping their own product work. You'll work within our contribution model, helping teams outside the pod propose, adopt and evolve components without fragmenting the system.
We're looking for someone with strong craft, attention to detail, and curiosity about systems thinking and AI-assisted workflows. You'll help create a coherent product experience across our brands while developing your own design systems practice.
Key responsabilities:
Design and evolve reusable components, patterns and foundations within our design system, reducing duplication and improving consistency across tribes
Define component behaviour, states and variants, working directly with engineering to ship them
Run and improve the contribution model: the process and standards that let designers outside the core pod propose and ship components without breaking system coherence
Support design work from problem framing through to documentation and handover, using research and feedback from teams to inform decisions
Create clear documentation and specifications covering variants, edge cases and usage guidance
Collaborate closely with engineers on token strategy and the practical link between Figma and production code
Resolve conflicts between a tribe's local need and the system's long-term coherence
Work with product design teams to identify gaps and embed stronger systems thinking across products
AI-enabled Design Systems:
Use AI-assisted tooling as part of your daily workflow, from research through to prototyping and component definition
Contribute to making the system well-structured for AI-assisted workflows, including tokens, documentation and reusable patterns
Know when to override AI output with your own design judgment, and be able to explain why
What we're looking for:
Proven experience designing and maintaining a design system at scale, not just documenting one
Experience running or contributing to a contribution model, or a clear point of view on how you'd build one
Strong technical fluency: you understand how your decisions translate into code, and work with engineers as a peer, not a handoff
Sharp judgment on trade-offs: when to enforce consistency, when to allow exceptions
Strong communicator, able to justify design system decisions to stakeholders who don't share your priorities, and bring other designers along rather than dictate to them
Comfortable with AI-assisted tools, with an interest in applying them in practical ways to improve speed, quality and consistency
Required experience
A portfolio demonstrating strong product and systems thinking, with evidence of shipped impact, not just documented patterns
Experience working in Figma, including component libraries, variables and tokens, alongside experience with built or coded prototypes
Experience working closely with engineers to deliver high-quality, scalable outcomes
Experience or strong interest in AI-assisted design or development workflows
Hiring Process
First Stage - Recruiter
Screen
This is your first interview with our Talent Acquisition team. We’ll explore your background, skills, and experience, as well as your approach to autonomy, ownership, and critical thinking. It’s also a chance to discuss your aspirations and ensure alignment with our culture and values.
Second Stage -
Portfolio Review
In this stage, you’ll meet with the Hiring Manager and a Designer from the team. We’ll explore your process thinking and approach to design through a case study of your choice. This is also a great opportunity to discuss how you collaborate with others and how your values align with our team culture.
Third Stage -
AI Sandbox Challenge
This is a dynamic and interactive session where you’ll have the chance to demonstrate your thought process in action. It’s designed to give us insight into how you approach challenges, integrate AI into your workflows, and apply your skills in a practical setting.
We aim to make this process clear, collaborative, and reflective of the way we work as a team.
DEI statement
OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don't meet all the requirements - you may be just the right fit for this or other opportunities with us.
Privacy Data disclaimer
OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.
Location: Sydney
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey’s Legal Engineers are former practising lawyers who bridge customers, sales, and product to support all aspects of our sales strategy and product development. As trusted advisors to the lawyers they work with, they lead sharp discovery and tailored product demonstrations, translating real legal work into Harvey solutions that provide clear value for lawyers.
As strategic partners to law firms and in-house teams, Legal Engineers thrive in ambiguity and help lawyers do higher-quality work faster and with more confidence using Harvey.
WHAT YOU’LL DO
- Work directly with lawyers at current and prospective customers to uncover workflow pain points, recommend solutions, and show how Harvey fits into real legal work.
- Serve as the voice of the customer, translating feedback and legal workflow insights into concrete, lawyer-ready product direction.
- Partner closely with product, engineering, sales, and marketing to shape Harvey’s roadmap and ensure the product evolves in ways lawyers trust and adopt.
- Build and refine product demonstrations, workflows, and use cases that reflect how legal teams actually work, including how AI is changing that work.
- Introduce new capabilities in a way that’s tailored, credible, and compelling for each customer, continuously raising the bar for how Harvey is deployed.
- Provide competitive and market intelligence specific to the APAC legal tech landscape.
- Further strengthen Harvey’s reputation in the APAC region as a credible, substantive, and forward-looking AI partner to the legal industry.
WHAT YOU HAVE
You move confidently through uncertainty, you operate at speed, and ship solutions that work—iterating quickly with lawyers, sales teams, and product partners to help Harvey and its customers win. You bring deep curiosity about AI's potential to transform legal work, a bias towards action, and the creativity to solve problems nobody's cracked yet.
- Based in Sydney and eligible to work in Australia.
- Australian practising certificate (or equivalent common-law qualification).
- At least 3 years of experience as a qualified lawyer at a top-tier law firm (e.g., Band 1 Chambers / AFR Top 10) and/or/in-house with strong exposure to complex legal workflows and client expectations.
- Demonstrated ability to exercise sound judgment and make confident, well-reasoned recommendations.
- Ability to operate seamlessly across legal, product, and sales contexts—translating between stakeholders with clarity and precision.
- Executive presence and relationship-building skills, with comfort engaging partners, senior associates, in-house counsel, and legal leadership.
- Sales, customer-facing, or law firm business development experience is a plus, particularly where you’ve helped shape solutions rather than just present them.
ADDITIONAL INFORMATION
- Location: Sydney, NSW (Hybrid with flexibility)
- Work eligibility: Must have valid Australian work rights; Harvey does not currently offer visa sponsorship for this role.
WHAT WE OFFER
- Structured hybrid working arrangement: 3 days in our Sydney office, 2 days working from home.
- Health Coverage: Fully covered private hospital insurance, plus extras for dental, optical, physio, mental health, and more.
- Family & Fertility Support: Support for fertility treatments, adoption, and surrogacy through Carrot.
- Retirement & Security: Comprehensive coverage designed to support your long-term well-being.
- Paid Leave: Paid annual leave, sick leave, and fully paid parental leave for all parents.
- Wellness & Perks: Daily in-office lunch, wellness memberships through Wellhub, and monthly commuting support.
- Professional Development: Annual support for courses, certifications, conferences, and books.
- Remote Work Allowance: Monthly support for home office, internet, and phone expenses.
- Harvey Holiday: After four years, enjoy a four-week paid sabbatical to rest, travel, or explore new experiences.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-GW1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Sta. Rosa, Laguna
Workplace: OnSite
Duties and Responsibilities
- Customer Onboarding
- Conducts customer due diligence and KYC (know-your-customer)
- Checks the legitimacy of the proof of identity and escalates immediately if suspected counterfeit or suspicious.
- Validates the completeness and accuracy of customer information on the customer information sheet/account opening form.
- Conducts signature verification.
- Photocopies the proof of identity and files it together with the account opening form.
- Creates the customer profile and opens the account in the Core Banking System (CBS)
- Secures appropriate approval for the creation completed.
- Releases passbook / chequebook / Time Deposit Certificate, as applicable, depending on the product availed by the customer.
- Scans the Account Opening Document Set.
- End-Of-Day (EOD) generation of report of all accounts opened and submits EOD report to the Service Delivery Head.
- Customer Information Update – validation of customer documents presented to support the update if customer-initiated request or performs update of customer profile as part of the periodic review.
- Conducts Enhanced Due Diligence as necessary.
- Maintains Customer’s Account in the system based on customer’s request or bank-initiated activities.
- Preparation of Customer Notifications and monitor its delivery status.
- Fire-Proof Cabinet / Vault Custodianship
- Safekeeps accountable forms and records the utilization of accountable forms.
- Safekeeping of Account Opening Documents, together with the proof of deposit, in a secured and organized manner during the branch banking hours.
- Act as dual custodian to safekeep or release the cheques received in a fire-proof cabinet/vault for deposit to the Depository Bank by the Teller.
- Customer Interaction such as but not limited to:
- Attends to customer queries at the branch.
- Responds to Customer Inquiry via email.
- Resolves customer complaint.
- Call-out (TD Maturity, Bounced Cheques, etc.)
- Release and Monitoring of Bounced Cheques Pick up and/or Replacement
- Debit Cards Handling
- Release of Debit Cards to Customers and Tagging in the System
- Blocking of Card – Lost / Stolen
- Destruction of aged card
- All files shall be safekept in the designated filing cabinet and shall be within the retention period.
- Ensure completion of tasks assigned within the agreed turnaround-time.
- Other processes that may arise related to Account Services.
- Timely reports concerns identified and possible issues that might have impact to branch operations.
- Acts as reliever when somebody goes on leave based on the relief arrangement within the team.
- Organizes team files (soft and hard copy) and adheres to the record retention policy.
- Identifies processes/systems for improvement but ensuring controls are in place.
- Initiates projects for the betterment of the team and the company as a whole.
- Participates on UAT/UVT for new or enhancement of systems that will have impact to the team.
- Participates in Business Continuity Plan (BCP) Activities.
- Prompt identification and escalation of issues noted and propose resolution to the immediate supervisor.
- Performs tasks that maybe assigned from time to time other than the basic responsibilities listed above.
- Assists in combatting money laundering by ensuring processes required are in place.
- Complies with regulatory requirements like BSP, AMLC, PDIC, BIR and other governing bodies.
- Strict adherence to company’s policies and code of conduct.
EDUCATION & COMPETENCIES
- University degree on Banking & Finance, or any related Business Course
- With at least 3 years of relevant experience in a banking industry
- Strong knowledge and experience in teller services or branch operations
- Sufficient knowledge of BSP regulations
- Good communication skills
- Problem-solving skills in a well-structured manner
- Ability to work with different culture, race, or ethnic group.
- Can work independently with minimal supervision.
- Acceptable risk management skills and ability to mitigate identified risks.
- Good interpersonal skills
- Keen attention to details
- Organize, innovative and results oriented.
- Ability to multi-task in a fast-paced environment
- Positive attitude knows how to find ways to address different circumstances.
- With official Signature Verification, KYC / CDD Training / Seminars attended.
Location: New York
Workplace: remote
About the role:
We’re an
Anthropic and AWS Partner
with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA.
Why Provectus
Frontier access
— Anthropic Preferred Partner: newest Claude models, real budgets, real problems
Real tasks (not scope), real deployment.
You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive
Embedded, not engaged.
You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented
Autonomous.
You own the work from framing through to production, visible to clients and founders. You own the method; nobody hands you a ticket
Your experience stays portable.
Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack
Craft & growth
— build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name
We give you a stage:
Claude certification, conference talks, open-source contributions, published work under your own name
What You’ll Do:
Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it
Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously
You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it
Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice
What We Look For:
Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly
Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits
Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses)
Nice to have:
Containers and orchestration (Kubernetes/ECS) and CI/CD in production
IaC depth: AWS CDK, CloudFormation, Terraform
Open-source contributions or public writing on applied AI
What We Offer:
Full-time employment
On-site visits to clients’ facilities and our office in NYC 1/week
Unlimited Vacation policy
Generous health, vision, and dental insurance
401(K) matching plan
Base salary $180k–$200k + bonuses; OTE up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data
No Visa sponsorship
How we hire:
Recruitment interview.
Tech interview with our FDE (30 min).
A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked.
Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows.
4. Soft skills interview.
5. Offer discussion.
We’re real:
A person reads your application.
We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team
We may ask for a quick ID verification.
Fraudulent applications are common, and this protects real candidates
You’ll meet the people you’d work with.
We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO
Location: United States; Phoenix; Seattle; California; Denver
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States.
In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory..
We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment.
As an Account Executive, you will:
- Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations.
- Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally.
- Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value
- Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success
- Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships
- Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions
- Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth
- Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment
You may be a good fit if you have:
- 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas.
- Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors.
- Established regional network, including state and local departments and agencies, prime contractors, and industry associations.
- Experience selling SaaS, AI/ML, or enterprise software solutions to government clients.
- High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up
- Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals
- Creativity and strong technical acumen to structure unique, mutually beneficial partnerships
- Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences
- Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%).
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Stebby Sports Compensation or Confido Health Compensation.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
Interview with HR
Assessment task
Interview with hiring managers
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• A Unique Opportunity for a career in a global, fast-growing company.
• Attractive
remuneration package
based on qualifications and experience.
• Opportunities to learn and grow through our “
Employee Training & Development program”.
• Hybrid Work Flexibility.
• Multiple
events
to bond with the team and the group.
• Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview with hiring managers or an HR call
Psychometric test
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Data Analyst
to mainly c
ollaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
Data Analyst
will have the chance to:
• Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
• Support the implementation of data-driven solutions that improve business performance and operational efficiency.
• Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
• Ensure data accuracy and consistency through validation and quality checks.
• Work closely with BI team members to improve reporting processes and analytical capabilities.
• Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
• Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
• Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
• Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
• Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
• Experience gathering business requirements and translating them into reporting and analytical solutions.
• Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
• Hands-on experience with data visualization tools (Power BI preferred).
• Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
• Working knowledge of DAX and Power BI data modelling principles.
• Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
• Attention to detail, curiosity, and a proactive approach to solving business problems.
• Excellent command of English, both written and spoken.
• Strong teamwork and collaboration skills.
Will be considered as a plus:
• Experience with statistical analysis and A/B testing concepts.
• Basic knowledge of machine learning concepts and their business applications.
• Proficiency in Python or R for data analysis and automation.
• Experience working with financial services, trading, or FX data.
• Familiarity with data governance and data quality best practices.
• Knowledge of Agile methodologies and DataOps principles.
• Familiarity with Databricks or similar cloud platforms.
• Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
• Unique Opportunity for a career in a global, fast-growing company.
• Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
• Opportunities to learn and grow through our “Employee Training & Development program”.
• Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
• Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
• Participation in our welfare investment and savings plan through our Provident Fund Scheme.
• Birthday and Loyalty benefits.
• Collaboration with SportBenefit.
What to expect from our recruitment process:
First interview HR call
Task Assessment
Technical interview
Final interview with top management
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Atlanta, United States; Raleigh, United States; Philadelphia, United States; Tampa, United States; Baltimore, United States
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
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 5 years of experience as Business Analyst
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech 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
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
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: Mexico City, Mexico; Guadalajara, Mexico; Monterrey, Mexico
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
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 5 years of experience as Business Analyst
A degree in Business, IT or any relevant field
Previous experience working in the health insurance industry is required
Insurtech 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
Technical writing skills is a plus
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
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: Ho Chi Minh City, Vietnam
Top 3 Reasons To Join Us
International Environment
Working on the latest tech for the Insurtech Market Leader
Competitive remuneration package
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
About the Role
As the Lead Full Stack Engineer at CoverGo, you will play a pivotal role in driving the technical direction and execution of our innovative insurance enterprise software solutions. Lead and mentor a team of talented engineers, guiding them through the design, development, and maintenance of our SaaS platform. Collaborate closely with stakeholders to understand business requirements, architect scalable solutions, and ensure the delivery of high-quality software. Stay abreast of emerging technologies, advocate for best practices, and foster a culture of innovation and excellence within the engineering team.
What You Will Do
Lead the end-to-end development lifecycle of our SaaS platform, from design and implementation to deployment and maintenance, ensuring alignment with business objectives and technical requirements.
Provide technical leadership and mentorship to a team of Full Stack Engineers, fostering their growth and development through coaching, feedback, and knowledge sharing.
Collaborate closely with product managers, designers, and other stakeholders to translate business requirements into technical solutions, prioritizing features and enhancements based on impact and feasibility.
Drive architectural decisions and establish coding standards and best practices to ensure the scalability, reliability, and maintainability of the platform.
Conduct thorough code reviews, enforce quality standards, and promote a culture of continuous improvement through the adoption of testing methodologies and automation.
Proactively identify technical debt, scalability bottlenecks, and areas for optimization, leading initiatives to address them and improve overall system performance.
Champion security and compliance initiatives, ensuring adherence to industry regulations and best practices, and driving the implementation of robust security measures.
Stay updated with the latest trends, technologies, and best practices in software development, evaluating their potential impact and relevance to our platform, and advocating for their adoption where appropriate.
What We Need
Demonstrated leadership experience in a technical role, with a track record of successfully leading and mentoring engineering teams in the development of complex SaaS applications.
Extensive hands-on experience with Full Stack development using Node.js and related technologies, with a minimum of 8 years of relevant experience.
Proficiency in front-end and back-end technologies such as Node.js, Vue.js, GraphQL, MongoDB, Docker, and TypeScript.
Strong expertise in cloud platforms such as AWS, Azure, or Google Cloud, with experience in architecting and deploying scalable and resilient applications.
In-depth knowledge of Test-Driven Development (TDD) methodologies, unit, integration, and functional testing, and experience with testing frameworks and automation tools.
Solid understanding of Object-Oriented Programming (OOP) principles, SOLID principles, and design patterns, with practical experience in their application.
Thorough understanding of web security best practices and experience in implementing security measures and ensuring compliance with industry regulations.
Familiarity with container technologies like Docker and proficiency in cloud infrastructure and solutions.
Experience with Nest.js is a plus.
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders.
Proven ability to prioritize and manage multiple projects simultaneously, with a proactive and results-oriented approach.
Passion for continuous learning and professional development, with a keen interest in staying updated with emerging technologies and industry trends.
Why You'll Love Working Here
Hybrid Work Model
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Health Insurance
Stock Options after 6 months
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: 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
About the Role
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction to the team, working across both front-end and back-end technologies, ensuring scalable and efficient software solutions. Collaborate closely with cross-functional teams to understand end-user requirements, optimize application performance, and enforce best coding practices. Your role will encompass mentoring junior developers, driving innovation, and ensuring the continuous growth and success of our platform.
What You Will Do
Lead the design, implementation, and maintenance of our insurance enterprise software solutions, providing technical direction to the team.
Demonstrate expertise in both front-end and back-end technologies, offering guidance on technology selection, architecture, and best practices.
Collaborate with product, design, and engineering teams to understand requirements and technical concepts, ensuring cohesive and effective solutions with a seamless user experience.
Optimize platform performance to handle large datasets and high user traffic, ensuring a smooth and responsive user experience.
Conduct and lead code reviews, enforce best coding practices, and drive the adoption of standards to maintain high code quality.
Investigate and promptly address bugs to uphold platform reliability.
Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations.
Stay abreast of the latest technologies, frameworks, and best practices, guiding the team in remaining competitive and innovative.
Design the platform with scalability and flexibility, accommodating evolving features and changes as the user base grows.
Provide mentorship and technical leadership to junior developers, fostering their growth and contribution to the team's objectives.
What We Need
Proven experience of 8+ years as a Full Stack Engineer, with a track record of leading complex SaaS applications.
Minimum 2 years in a lead/manager role, able to guide and ensure development of teams
Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker
Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js
Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications
Experience with microservices and/or clean architecture
Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code
Experience with unit, integration and function testing using front-end and back-end testing libraries
Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains
In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations
Demonstrated experience in performance optimization for high-traffic web applications
Experience with container technologies like docker and good understanding of cloud infrastructure and solutions.
Experience with agile development methodologies and collaborating with cross-functional teams
Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing
Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds
A passion for staying updated with the latest trends, technologies, and best practices in software development
Why You'll Love Working Here
International Environment
Competitive remuneration package
Hybrid Work Model for those in Ho Chi Minh City; Remote working for those outside Ho Chi Minh City
15 Days Annual Leave
13th-month Pay
Annual Performance Bonus
Stock Options after 6 months
Health Insurance
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: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
VP of Research (Machine Learning)
to define and lead the research direction behind its AI platform. This leadership role will shape how AI systems reason, learn, evaluate, and continuously improve within a product designed for high-frequency, real-world usage.
Working closely with product and engineering leadership, this position will drive the long-term intelligence strategy, balancing cutting-edge research with practical production impact.
Key Responsibilities
Define and evolve the research roadmap for the platform's core AI intelligence, including context representation, memory, reasoning, planning, and orchestration.
Evaluate and determine when to develop proprietary model architectures versus leveraging or adapting frontier open-source and commercial AI models.
Design evaluation frameworks that measure real-world performance, robustness, safety, and long-term system behavior beyond traditional benchmark metrics.
Lead the company's AI alignment, safety, and guardrail strategy as a core component of product development.
Drive research and experimentation across advanced machine learning techniques, including:
Retrieval-Augmented Training (RAG)
Mixture of Experts (MoE)
Model Distillation
Multi-Agent Orchestration
Multimodal AI Systems
Partner closely with product and engineering teams to define and execute the intelligence strategy for AI-powered applications.
Establish and maintain high standards for research quality, technical judgment, and engineering excellence across the organization.
Requirements
Extensive experience designing, building, and deploying machine learning systems in production environments.
Strong technical expertise in model behavior, failure analysis, system evaluation, and long-term AI performance.
Proven ability to translate advanced research into reliable, production-ready AI solutions.
Demonstrated experience making high-impact technical decisions in fast-moving and ambiguous environments.
Deep understanding of AI evaluation methodologies, model robustness, safety, and system reliability.
Strong ownership mindset with the ability to lead technical strategy and execution.
Passion for building practical AI systems that deliver measurable real-world impact rather than focusing solely on academic research or benchmark performance.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Technical Lead, Machine Learning
to lead the execution of its AI platform by translating research into scalable, production-ready machine learning systems. This role sits at the intersection of research, infrastructure, and product, with responsibility for ensuring models are trainable, deployable, observable, and optimized for real-world performance.
Working closely with research, engineering, and product teams, this position will drive the development of robust ML infrastructure while balancing performance, reliability, latency, and cost.
Key Responsibilities
Lead the end-to-end execution of machine learning systems, including data pipelines, training workflows, evaluation frameworks, inference architecture, and production deployment.
Fine-tune and optimize models using modern techniques such as
LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation
.
Design, build, and operate scalable inference systems with a focus on latency, cost efficiency, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to measure model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU utilization, memory efficiency, inference optimization, and scaling strategies.
Partner closely with application engineering teams to integrate machine learning systems into backend, desktop, and mobile products.
Continuously improve production systems through rapid iteration, monitoring, and data-driven optimization.
Requirements
Proven experience building and deploying production-grade machine learning systems used by real users.
Strong expertise working with large language models and understanding model behavior, limitations, and failure modes.
Experience developing scalable ML infrastructure, training pipelines, and inference systems.
Strong software engineering skills with the ability to write maintainable, production-quality code.
Experience balancing real-world production constraints, including latency, reliability, scalability, cost, and safety.
Strong ownership mindset with the ability to independently drive technical initiatives from design through deployment.
Excellent communication and collaboration skills, with experience working in cross-functional, high-performing engineering teams.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based model training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Senior Machine Learning Engineer
to design and build production-grade machine learning systems that power its AI platform. This is a hands-on technical role focused on solving complex machine learning challenges, translating research into scalable solutions, and delivering reliable AI systems that operate effectively in real-world environments.
Working closely with research, product, and engineering teams, this position will independently own critical machine learning components from development through production deployment.
Key Responsibilities
Build and develop core machine learning systems that power AI-driven product capabilities.
Own the end-to-end machine learning lifecycle, including data preparation, model training, evaluation, inference, deployment, and continuous iteration.
Translate research concepts into reliable, production-ready machine learning solutions.
Investigate and resolve model performance issues and production system failures using real-world operational insights.
Continuously improve machine learning systems through rapid experimentation, measurement, and iteration.
Collaborate closely with research, product, and engineering teams to deliver impactful AI features.
Provide technical guidance through code reviews, best practices, and mentorship of fellow machine learning engineers.
Develop solutions that balance real-world production requirements, including latency, scalability, cost efficiency, reliability, and safety.
Requirements
Proven experience building and deploying production machine learning systems used by real users.
Strong understanding of modern machine learning models, including their behavior, limitations, and failure modes in production environments.
Excellent software engineering skills with the ability to develop robust, maintainable, production-quality systems.
Experience designing and implementing scalable machine learning pipelines and infrastructure.
Strong ownership mindset with the ability to independently solve complex technical challenges from concept through deployment.
Excellent problem-solving, communication, and collaboration skills within cross-functional engineering teams.
Demonstrated ability to iterate quickly and continuously improve machine learning systems based on production feedback.
Preferred Technical Skills
Experience with the following technologies is preferred:
Python
PyTorch and/or JAX
GPU-based training and inference systems
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking a
Principal Machine Learning Engineer
to build and deploy production-grade machine learning systems that power its AI platform. This role focuses on translating research into scalable solutions by developing robust training pipelines, inference systems, evaluation frameworks, and deployment infrastructure.
Working closely with research and application engineering teams, this position will play a key role in delivering reliable, high-performance ML systems that operate effectively under real-world production constraints.
Key Responsibilities
Build and own end-to-end machine learning pipelines covering data processing, model training, evaluation, inference, and deployment.
Fine-tune and adapt models using modern techniques such as LoRA, QLoRA, Supervised Fine-Tuning (SFT), Direct Preference Optimization (DPO), and model distillation.
Design and operate scalable inference systems while balancing latency, cost, and reliability.
Develop and maintain data pipelines for both synthetic and real-world training datasets.
Build evaluation frameworks to assess model performance, robustness, safety, and bias in collaboration with research teams.
Optimize production deployments through GPU optimization, memory efficiency, latency reduction, and scaling strategies.
Collaborate with application engineering teams to integrate machine learning systems into backend, mobile, and desktop applications.
Continuously improve ML systems through rapid iteration and real-world performance monitoring while balancing production constraints such as latency, cost, reliability, and safety.
Requirements
Strong background in deep learning and transformer-based architectures.
Hands-on experience training, fine-tuning, or deploying large-scale machine learning models in production.
Proficiency with modern machine learning frameworks such as
PyTorch
or
JAX
.
Experience with distributed training and inference frameworks, including technologies such as
DeepSpeed, FSDP, Megatron, ZeRO, or Ray
.
Strong software engineering skills with experience building robust, maintainable, production-grade systems.
Experience optimizing GPU workloads, including memory efficiency, quantization, and mixed precision.
Ability to independently own end-to-end machine learning systems in fast-moving environments.
Strong problem-solving skills with a focus on rapid iteration and continuous improvement.
Preferred Qualifications
Experience with one or more of the following is preferred:
LLM inference frameworks such as
vLLM, TensorRT-LLM, or FasterTransformer
Open-source contributions to machine learning or systems libraries
Scientific computing, compiler technologies, or GPU kernel development
Reinforcement Learning from Human Feedback (RLHF) pipelines, including
PPO, DPO, or ORPO
Training or deploying multimodal or diffusion models
Large-scale data processing frameworks such as
Apache Arrow, Spark, or Ray
Location: Singapore
About the Company
Our client is a stealth AI startup backed by one of Southeast Asia's leading technology companies and is currently building its global founding team.
The company is developing an AI-native communication platform designed to simplify everyday tasks by integrating AI directly into conversations. Instead of switching between multiple applications, users can plan, organize, compare, research, and complete tasks within a single intelligent assistant.
Serving a market of billions of users still relying on traditional productivity tools, the platform focuses on delivering reliable AI workflows, persistent context, multi-step reasoning, and seamless task execution. The mission is to create an AI assistant that significantly improves productivity while making everyday work simpler and more intuitive.
About the Role
Our client is seeking an
iOS Software Engineer
to build and enhance its AI-native mobile experience. This role is responsible for developing production-grade iOS applications where AI interactions are central to the user experience, ensuring performance, reliability, and user trust across all mobile interactions.
Working closely with backend and machine learning teams, this position will focus on delivering scalable iOS applications that integrate advanced AI capabilities while maintaining a seamless and intuitive user experience.
Key Responsibilities
Build and maintain production iOS applications using
Swift
and
SwiftUI
.
Integrate AI-powered features through backend APIs.
Design user experiences for AI interactions, including loading states, streaming responses, retries, and fallback mechanisms.
Optimize application performance, memory usage, and battery efficiency.
Implement user feedback and analytics mechanisms to support AI evaluation and continuous product improvement.
Collaborate closely with backend and machine learning engineers on API design and system behavior.
Maintain high standards of application quality, stability, and reliability for App Store releases.
Requirements
Minimum
3 years of iOS development experience
using Swift.
Hands-on experience integrating AI-powered features into mobile applications.
Strong understanding of
async/await
, concurrency, and background task management.
Solid experience optimizing iOS application performance, memory usage, and responsiveness.
Experience developing, releasing, and maintaining production iOS applications.
Familiarity with designing applications that operate reliably under latency, partial failures, and non-deterministic AI behavior.
Exposure to
CoreML
or lightweight on-device machine learning is an advantage.
Familiarity with feature flags or remote configuration systems is preferred.
Strong understanding of user experience design for AI-powered applications, with an emphasis on usability and user trust.
Preferred Technical Skills
Experience with the following technologies is preferred:
Swift
SwiftUI
Swift Package Manager (SPM)
SQL and NoSQL databases
TensorFlow Lite (on-device inference)
УдалённоBarcelona, Spain; OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply
ГибридSydney
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УдалённоUnited States; Phoenix; Seattle; California; Denver; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
Tallinn, Estonia
Warsaw, Poland
Limassol, Cyprus
УдалённоseniorAtlanta, United States; Raleigh, United States; Philadelphia, United States; Tampa, United States; Baltimore, United States
УдалённоseniorMexico City, Mexico; Guadalajara, Mexico; Monterrey, Mexico
leadHo Chi Minh City, Vietnam
leadПротиворечивые условия: Hybrid Work Model for those in Ho Chi Minh City; Remote working for those outside Ho Chi Minh City
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