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Location: Limassol, Remote Workplace: remote We are looking for a talented Senior UA Manager (SRN) to join our team! In this role, you’ll work on large-scale international projects with budgets starting at $300,000 per month . You’ll manage traffic acquisition on platforms like Facebook, TikTok, and Snapchat, explore new traffic sources, and optimize existing advertising strategies. Your responsibilities will include planning, launching, and refining campaigns to ensure the success of our games and reach millions of players worldwide. If you’re passionate about discovering innovative mobile marketing solutions and want to work with cutting-edge tools in a professional team, this is your time to shine! Key Responsibilities Manage international mobile projects with budgets starting at $300,000 per month (Monetization models: IAP and IAP+IAA) Development and implementation of methodologies for working with new types of targeting Plan, launch, and manage ad campaigns to consistently meet KPIs Generate and test hypotheses to improve campaign performance Automate routine tasks in the procurement process Collaborate with the creative team to find signals at your source Maintain effective communication with traffic source representatives Skills, Knowledge and Expertise Proven working experience as an User Acquisition Manager within the gaming industry Hands-on experience with Facebook Ads, Google Ads, TikTok  (familiarity with Snapchat and other channels will be a plus) Proficiency in mobile attribution fundamentals with experience using AppsFlyer or Adjust Strong understanding of advertising campaign performance metrics (ROI, ROAS, ARPU, ARPPU, LTV, etc.) and the ability to analyze and optimize large datasets Solid knowledge of unit economics and its application to ad strategies Proven experience managing and scaling advertising campaigns with budgets exceeding $300,000 per month Advanced proficiency in Excel/Google Sheets and BI tools like Tableau Expertise in market analysis with the ability to identify growth opportunities Experience with UA automation tools and automating any part of the user acquisition process Strong grasp of A/B testing, from designing experiments to analyzing results English proficiency at B2 level or higher – for effective negotiations, market analysis, and communication with international partners Knowledge of Russian language Understanding of SkadNetwork principles (will be a plus) Benefits Flexible work environment: work remotely from home or in our office in Cyprus Paid holidays and sick leave to prioritize your health and well-being Competitive salary based on interview results and annual performance reviews Bonus system tied to the company's success and performance Opportunities to attend conferences, workshops, and meetups English classes Cool corporate parties and team-building events Holiday Gifts: celebrate special occasions with thoughtful holiday gifts from the company Free lunches in our office: enjoy a pleasant time over a meal with your colleagues

Location: United States Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds... ClinChoice is searching for a Associate Director, Biostatistics Consultant  – Oncology to join one of our clients. We are seeking an experienced and highly motivated Associate Director of Biostatistics with strong expertise in oncology clinical development to provide statistical leadership across clinical trials and development programs. The successful candidate will lead statistical strategy, oversee the design and analysis of clinical studies, ensure the quality of statistical deliverables, and collaborate closely with cross-functional teams to support clinical development and regulatory submissions. This role requires extensive knowledge of oncology clinical trials, strong leadership capabilities, and the ability to provide strategic statistical guidance to internal teams and external stakeholders. Key Responsibilities Provide statistical leadership and strategic guidance for oncology clinical development programs, including Phase I–III clinical trials. Lead the development and review of statistical analysis plans (SAPs), statistical methodologies, sample size calculations, and randomization strategies. Provide expertise in oncology endpoints, including overall survival (OS), progression-free survival (PFS), objective response rate (ORR), duration of response (DoR), and disease control rate (DCR). Oversee the statistical analysis of clinical trial data, including time-to-event analyses, Kaplan–Meier estimation, Cox proportional hazards models, and other appropriate statistical methods. Review and provide oversight of clinical study reports (CSRs), tables, listings, figures (TLFs), and other statistical deliverables to ensure scientific accuracy and regulatory compliance. Support regulatory submissions and interactions with health authorities, including the FDA, EMA, and other global regulatory agencies. Provide statistical input into clinical study protocols, clinical development plans, and integrated analyses. Collaborate with Clinical Development, Clinical Operations, Data Management, Statistical Programming, Medical Writing, and Regulatory Affairs teams. Serve as a statistical subject matter expert in client meetings, project discussions, and strategic planning sessions. Mentor and provide technical guidance to biostatisticians and other statistical team members. Ensure adherence to applicable regulatory guidelines, industry standards, and internal quality procedures. Contribute to business development activities, including proposal development, feasibility assessments, and client presentations, as needed. Qualifications PhD in Statistics, Biostatistics, or a closely related quantitative discipline; a Master’s degree with substantial relevant experience may also be considered. Extensive experience in biostatistics within the pharmaceutical, biotechnology, or contract research organization (CRO) industry. Strong experience supporting oncology clinical trials, preferably across multiple phases of clinical development. Demonstrated expertise in survival analysis, time-to-event endpoints, clinical trial design, hypothesis testing, and statistical modeling. Thorough understanding of oncology efficacy endpoints, response assessment criteria such as RECIST, and relevant clinical development considerations. Experience preparing and reviewing SAPs, CSRs, regulatory submission documents, and integrated analyses. Knowledge of FDA, EMA, ICH, and other applicable regulatory guidelines. Strong leadership, communication, problem-solving, and stakeholder management skills. Ability to manage multiple projects, prioritize deliverables, and work effectively in a collaborative, fast-paced environment. The Application Process Once you have submitted your CV, you will receive an acknowledgement that we have received it. If you have the requirements we need, you will be invited for a phone interview as the first step.  Unfortunately, due to the number of applications we receive, we cannot reply to everyone individually if you are not successful. Who will you be working for? About ClinChoice ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific. Our Company Ethos Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology.   The success of these core values is evidenced by our low industry-average turnover rates. ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it. #LI-TT1 #LI-Remote #LI-Associate Director #Contract

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. We are looking for a Manager, Account Management to join our Account Management team. This is an opportunity to lead strategic relationships with some of our most important merchants and help them get more value from their partnership with Checkout.com http://Checkout.com. You will be a trusted business advisor and a senior point of contact for a portfolio of enterprise merchants. You will own the account strategy, build executive-level relationships, identify opportunities for growth, and coordinate the internal teams required to deliver an outstanding merchant experience. This role is suited to a commercially minded account management leader who can operate with strategic perspective while staying close to execution. You will bring structure to complex work, influence stakeholders across the organization, and help merchants use payments as a lever for better customer experiences and business performance. HOW YOU’LL MAKE AN IMPACT - Own and execute account development plans for a portfolio of strategic merchants. - Build high-touch, consultative relationships with merchant stakeholders from day-to-day operators through executive leadership. - Serve as the primary commercial and relationship lead during the post-integration lifecycle, ensuring clear ownership, communication, and follow-through. - Develop a deep understanding of each merchant’s business model, customer journeys, payment performance, priorities, and growth plans. - Identify and advance opportunities across payment volumes, product adoption, market expansion, and broader commercial growth. - Lead commercial conversations and negotiations in partnership with Sales, Finance, Legal, Product, and other relevant teams. - Translate merchant needs into clear internal priorities and influence product roadmaps, go-to-market motions, and service improvements. - Project-manage complex merchant initiatives, including cross-border expansion, new payment methods, optimization programs, and operational improvements. - Use data and customer insights to diagnose performance, quantify opportunities, and make compelling recommendations. - Provide regular account updates, risk visibility, and forward-looking plans to leadership. - Share market feedback and best practices that improve how Checkout.com http://Checkout.com serves enterprise merchants. WHAT WE’RE LOOKING FOR - 6+ years of experience in B2B Account Management, Relationship Management, Customer Success, Strategic Partnerships, or a related commercial role, ideally in payments, fintech, technology, banking, or consulting. - Experience managing complex enterprise accounts and building trusted relationships with senior and executive stakeholders. - Strong commercial judgment, including experience identifying growth opportunities and leading or supporting negotiations. - A strategic, analytical, and data-driven approach to account planning and decision-making. - Excellent project management skills, with the ability to coordinate multiple workstreams and maintain momentum in a fast-paced environment. - Strong understanding of digital commerce, payments, fintech, and the competitive dynamics shaping the payments market. - Clear and compelling communication skills, with the ability to influence internally and externally at all levels. - Customer-first judgment and the ability to balance merchant outcomes, commercial performance, and operational realities. - High ownership, organization, and follow-through, especially when priorities shift or information is incomplete. - Intellectual curiosity and the ability to learn complex products and apply new technologies, including AI, to improve account performance. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Madrid Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Lead & develop a high-performing sales team - Hire, onboard, and develop AEs across Spain. Coach reps on deal strategy, pipeline management, and execution. Create a culture of accountability, learning, and collaboration. Identify and grow future leaders on your team - Own regional performance - Own your regional number and forecast accuracy, Inspect pipeline quality and help unblock stalled deals. Drive consistent execution of our sales process. Partner with RevOps to ensure clean data and clear insights - Be deeply involved in deals - Join key customer and prospect conversations. Help reps navigate complex buying committees and late-stage deals. Support pricing, negotiation, and close strategy WHAT YOU'LL BRING - 10- 15+ years of experience in an Enterprise customer-facing sales role, identifying and closing large accounts. - People Leadership Experience: 5+ years managing, mentoring, and developing a high performing enterprise sales team. - Enterprise Experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Strong Communication Skills: Exceptional verbal and written communication abilities. - Analytical Mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. EVEN BETTER... - Industry Knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience Building GTM Strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Lead Investor Relations team member at GitLab, you'll help rebuild our investor relations (IR) processes and shape how we communicate GitLab's strategy and performance to the public markets. Working closely with our VP of Finance Strategy & Operations, Chief Financial Officer (CFO), and executive team, you'll be a senior individual contributor with broad ownership of investor communications and relationships. You'll connect insights from across the business to explain our technical products, evolving business models, and long-term investment thesis. What You’ll Do Lead key workstreams of the quarterly earnings process, including messaging, scripts, questions and answers, data collection and synthesis, and conference call preparation; build repeatable processes with Finance, Legal, and executive leadership. Gather insights from research and development, Product, Sales, and other business leaders to explain GitLab's strategy, technical products, and business model transitions in investor communications and board materials. Own relationships with sell-side analysts and the investment community, monitor analyst models and consensus against our forecast, and flag gaps or risks to the head of IR and CFO. Prepare the Chief Executive Officer (CEO), CFO, and other executives for investor meetings, conferences, and roadshows; lead investor calls independently when executives aren't available, explaining how GitLab's business works and answering investor questions. Analyze peer and competitor earnings, Securities and Exchange Commission (SEC) filings, and investor days; maintain benchmarking analyses and deliver quantitative and qualitative insights for executive and board discussions. Track GitLab's shareholder base and recommend investor targeting strategies to expand and maintain key ownership positions. Draft and review earnings decks, shareholder letters, fact sheets, and IR website content; partner with Finance, Legal, Communications, and Strategy to keep messaging consistent, accurate, and compliant with disclosure requirements, including Regulation Fair Disclosure (Regulation FD). Plan and deliver Investor Day with the head of IR to communicate GitLab's long-term story, alongside investor outreach, non-deal roadshows, and corporate access events. What You’ll Bring Experience evaluating software businesses from a buy-side or sell-side investment perspective, gained through investing, equity research, investor relations, or a related field. Financial modeling, valuation, and quantitative analysis skills, with the ability to identify the business drivers that shape investor expectations. Experience producing or analyzing earnings materials and investor presentations, and explaining technical software products, evolving business models, and financial performance clearly in writing and conversation. You can work directly with senior executives and offer an informed point of view. Working knowledge of SEC reporting, Regulation FD, and public company disclosure practices. Proficiency with presentation and spreadsheet tools, experience with IR and market data platforms, and experience using artificial intelligence (AI) to improve workflows or a willingness to develop that capability. The ability to work independently and manage competing priorities in an all-remote, asynchronous-first environment, with an approach that reflects GitLab's values, especially transparency and efficiency. Nice to have: prior experience building an internal IR function. About the team GitLab’s Investor Relations team drives the strategy and long-term market positioning of GitLab in the public financial markets. We are a small team, so each member has broad ownership and visibility across all aspects of IR. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $139,200 — $235,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Almaty, Kazakhstan Workplace: remote We are seeking a Project Coordinator (AI think tank initiative) to coordinate a comprehensive project assessing the impact of artificial intelligence on the labor market and key economic sectors of Cyprus. The project spans the entire lifecycle: from multidisciplinary research and data collection to building a unified predictive model, executing a public campaign and deploying B2G and B2C digital products. The implementation horizon is 2025–2030, starting in Cyprus with subsequent international expansion to other markets. Key Responsibilities Coordinate five research tracks: occupation mapping and AI substitution risk studies (ESCO, MOT, OECD), national statistics analysis (CYSTAT, Eurostat), expert scenario modeling, academic validation and AI agent deployment. Engage with the Expert Advisory Board, bringing together top analysts, economists, political scientists, NGO leaders, academic partners and Cypriot government stakeholders. Organize the preparation of analytical deliverables, including the publication of a White Paper, and hold roundtables and workshops with stakeholders and government ministries. Support communication and PR/GR initiatives, special projects with HR platforms, public awareness campaigns and digital preventive qualification services. Assist in the development and rollout of tech solutions: a decision-support dashboard monitoring unemployment risks for government bodies and a mobile career navigator app for citizens. Oversee the pilot phase in 1–2 economic sectors in Cyprus, integrating the predictive model into state structures and preparing for international scalability. Skills, Knowledge and Expertise Experience: Proven experience coordinating or managing multidisciplinary, product or research projects in B2G, B2C, data analytics or AI Knowledge and skills: Labor market research methodologies Open data analysis Practical AI applications Structuring and maintaining project documentation Languages: English (Advanced, C1). Key Competencies: Communication with stakeholders at all levels, including government ministries, academic institutions, international organizations and expert communities Exceptional organization and ability to manage multiple parallel work streams Structured approach to project management and documentation.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Payroll lead to own the financial side of payroll across all inVision companies, turning HR data into accurate payroll calculations, a reliable budget and clear insights for leadership. The role combines payroll budgeting and financial modeling with hands-on payroll execution, tax management across jurisdictions and close cooperation with HR, accounting and external payroll providers. It is critical to keeping payroll costs transparent, compliant and under control as the organization grows. Key Responsibilities 1. Payroll Planning and Budgeting Build the payroll budgeting process (salaries, bonuses, contributions) across all inVision companies. Create and maintain a strategic, automated payroll financial model in Google Sheets. Prepare the payroll budget for the financial period and update it based on data provided by HR. Calculate the full cost of positions: monthly gross, employer taxes and contributions, annual bonus, currency. Check each position against the payroll limit. Prepare the payroll budget and submit it for approval to the CFO and the Director. 2. Payroll Tax Burden Maintain and update tax conditions for key inVision jurisdictions: tax and social contribution rates, caps, thresholds and payment deadlines (together with local advisors). Calculate employer and employee tax burden for each jurisdiction for the payroll budget and position costing. Monitor changes in tax legislation, assess their impact on the payroll budget and update the financial model on time. Plan payroll tax and social contribution payments in the budget in line with payment deadlines. Analyze payroll tax risks. 3. Financial Control Enter changes provided by HR into the financial model and keep the data up to date. Check new positions and changes against the payroll budget and limits. 4. Monthly Payroll Cycle Calculate salaries, taxes and contributions in Kazakhstan based on HR documents and events (hiring, terminations, vacations, sick leave, timesheets). Calculate payments to other individuals in Kazakhstan (civil-law contracts, student payments). Calculate and pay taxes and contributions for employees and individuals in Kazakhstan. Prepare and submit tax and contribution reports in Kazakhstan. In other jurisdictions, review and control them together with local advisors. Prepare payment registers and organize salary payments. Prepare accounting entries and reconcile payroll with the general ledger monthly. Calculate final settlements on termination based on HR data. 5. Financial Assessment of Compensation Changes Calculate the payroll budget impact of compensation changes (raises, indexations, transfers) approved and provided by HR. Assess requests that exceed department limits for review by the CFO and the Director. Calculate the bonus pool, book accruals and process bonus payments based on HR data. Reallocate payroll limits between departments and legal entities within the approved budget. 6. Control and Analytics Run plan-vs-actual analysis and rolling forecasts for payroll. Prepare management analysis and payroll reports for leadership. 7. Methodology and Development Develop and maintain policies and control procedures for the financial part of the payroll process. Work with HR, accounting, banks, external payroll providers and auditors on financial payroll matters. Take part in automation and ERP system development for payroll. Skills, Knowledge and Expertise Requirements Degree in Economics or Finance. Certifications in payroll, taxation or accounting are a plus. At least 4–5 years of experience in payroll, tax and contribution calculations and/or payroll budget planning. Experience in other jurisdictions is a plus. Experience coordinating external payroll providers and cross-functional processes (HR, accounting, finance). Strong knowledge of labor and tax legislation related to payroll, taxes and social contributions (Kazakhstan is required; other jurisdictions where we operate are a plus). Experience building financial models and budgets. Experience with the full payroll cycle in Kazakhstan: calculation, reporting to social funds, payments, accounting entries and reconciliation. Experience with payroll, HR and accounting/ERP systems (1C:ZUP or similar) and master data management. Advanced Excel / Google Sheets skills (pivot tables, models, formulas) and financial analysis skills. English at C1 level or higher. Key Competencies Attention to detail and accuracy. Error-free work with large volumes of calculations and personal data. Confidentiality and ethics. Strict confidentiality of employee compensation information. Analytical thinking. Ability to explain variances and turn numbers into insights for leadership. Cross-functional communication. Constructive work with HR, department heads and the CFO; ability to defend budget limits with clear arguments. Ownership and meeting deadlines. Strict adherence to payroll calendar and tax reporting deadlines. Flexibility and adaptability in a fast-changing environment. Ability to respond quickly to shifting project priorities and reflect changes in payroll records.

Location: Limassol, Cyprus Workplace: hybrid Senior Applied Researcher will own well-defined marketplace efficiency problems end-to-end, from problem formalisation through modelling, deployment, and production monitoring. You will operate independently on complex problem areas, make explicit trade-offs between competing objectives, and partner closely with engineering to deliver robust, scalable solutions. Key Responsibilities Conduct in-depth market research and analyze trends to identify opportunities for marketplace growth and optimization Develop and refine metrics, dashboards, and KPIs to monitor market performance and guide strategic decisions Generate and validate hypotheses to address key market challenges, presenting insights and actionable recommendations to stakeholders Investigate anomalies and deviations in key metrics, identifying root causes and proposing solutions Build predictive models and advanced analytics frameworks to forecast market trends and inform resource allocation Skills, Knowledge and Expertise 4–7 years of industry experience in data analytics, data science, applied research, or PhD + 2–4 years post-PhD in industry End-to-end ownership of individual marketplace models, policies, or decision mechanisms Strong judgment in trading off model fidelity, latency, robustness, and business impact Proven ability to move from abstract problem formulation to production-grade decision logic Hands-on experience collaborating with engineering teams on deployment, iteration, and monitoring Demonstrated ability to reason about system behavior under uncertainty, delayed feedback, and partial observability Modeling supply-demand dynamics as stochastic, partially observed, feedback-driven systems; formalizing unit economics, service quality, and LTV as state variables and objectives Design and analysis of experiments under interference, spillovers, feedback loops, and adaptive policies (e.g., switchbacks, clustered interventions) Practical experience with DiD, panel methods, synthetic control, double-robust estimators, and causal ML approaches in production settings Ability to distinguish short-term experimental uplift from long-run equilibrium shifts and cumulative feedback effects using time-series and dynamic causal methods. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 70 700 gross Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for an Application Security Engineer in the AppSec team. As a Senior Application Security Engineer at inDrive, you will own whole areas of our AppSec program, from security requirements and design reviews to controls that work in production. You will work with product, platform and infrastructure teams on new architecture, AI systems and the security of our apps and services. The role fits a hands-on engineer who reviews code and architecture, leads work across several teams and makes security decisions based on data. Key Responsibilities Own one or more areas of the AppSec program end to end, including the plan, the risks and the metrics. Run security design reviews and threat modeling of new features, services and AI systems, and defend security requirements at the architecture committee. Assess the security of web, mobile and API applications and find variants of confirmed vulnerabilities across other services. Coordinate external security assessments and bug bounty findings, from triage and prioritisation with teams to fix verification. Design secure authentication and authorization between users, services and internal tools together with platform teams. Choose, pilot and tune security tools, and keep only those that pay off in real findings. Turn incidents and assessment results into lasting controls, policies and secure defaults for developers. Consult development teams on complex security issues and take shifts in AppSec duty for Critical and High incidents. Skills, Knowledge and Expertise Higher education in IT, preferably in information security. Knowledge of mobile application security on Android and iOS, client-server trust, app integrity and protection against bots and account takeover. Deep knowledge of web and API security, including authentication and authorization flaws, SSRF, injections and business logic issues, and the ability to find variants of a vulnerability class across many services. Strong understanding of identity and access, OAuth 2.0, OIDC, JWT, signing key rotation, mTLS, service-to-service authentication and SSO. Understanding of security risks of AI systems and LLM agents, such as prompt injection, excessive tool permissions and agent access to sensitive data, and practical use of AI in your own security work. Practical understanding of cloud-native infrastructure, Kubernetes, containers, API gateways and AWS. Experience in threat modeling and security design review of new features and architecture. Understanding of vulnerability management and risk, including severity, SLA, compensating controls and risk acceptance. Ability to read and review code in at least one language, preferably Golang. Track record of leading projects with two or more teams from a requirement to a verified fix, and clear written English. Experience with secrets and key management, rotation and response to credential leaks. Nice to have Knowledge of software supply chain security, dependencies, CI/CD pipelines and source control platform hardening. Experience tuning SAST, DAST and SCA tools for precision and judging a tool by noise and cost per real finding. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid Our AI Customer Support and Safety team is working on many areas including Computer Vision, NLP, RL etc, bringing business value to our products and improving the lives of our customers. Now we are aiming to strengthen several streams and looking for an experienced middle Machine Learning Engineer , who will help us in our journey. The primary focus for this position will be automation of the driver verification process, for which experience in computer vision is essential. Key Responsibilities Develop, deploy, and maintain machine learning models and systems Conduct in-depth data analysis, preparation, and processing Contribute to the design of ML systems, focusing on data-related aspects like annotation and processing Follow established security guidelines and identify potential risks Collaborate with peers to review and ensure designs are effective, flexible, and reusable Solve issues and provide feedback for engineering design and delivery processes Ensure that features are deployed according to requirements and operate without unintended side effects Create and maintain comprehensive documentation for models and processes Monitor and support deployed solutions to ensure they meet performance expectations Actively seek out information and internal solutions to ensure reusability and adoption of common technologies Our expectations 3+ years of experience in the Field. Previous software engineering experience is preferrable Strong proficiency in Python and its common data processing frameworks (e.g., for streaming, batch, and asynchronous data). Strong foundational knowledge in classical machine learning, deep learning, and advanced mathematics. Familiarity with MLOps principles and experience using MLOps tools for managing the ML model lifecycle. Experience with backend systems and infrastructure, and a willingness to learn new technologies (like Golang) for integration purposes. The ability to design solutions using common design patterns and various design tools. Experience in experiment design and the ability to validate the credibility of information from various sources. A solid understanding of the business value of delivered features. Strong problem-solving skills, with an emphasis on using technical facts and reasoning. Excellent communication and collaboration skills, including active listening and the ability to build consensus. A strong drive for continuous self-development and a collaborative mindset for contributing to communities. Ability to balance quality and speed depending on the case, and justify your decision Ability to explain the background and consequences of your technical decisions to non-technical stakeholders, including product and business managers English communication skills Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Cairo, Egypt Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Islamabad, Pakistan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production. A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft. Help us challenge injustice by creating fair choices for millions of people across 48 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid As Senior Product Manager for Compliance , you’ll own the platform that decides who can drive, deliver, and use inDrive across 47 countries—directly impacting user safety, regulatory posture, and bottom-line risk. You will lead the transformation of our driver compliance tools into a scalable Compliance Platform capable of supporting new business lines, global audits, and strict data privacy standards while powering regional expansion today. Key Responsibilities Set Compliance Strategy: Own the long-term vision and strategy for compliance at inDrive. Secure leadership commitment to it. Own the Compliance Product: Own end to end the product that decides who can take orders on inDrive: document requirements by market, document processing, and access control. Support Regional Compliance: Own how requests from regional compliance teams are taken in and prioritized against regulatory risk and business impact. Launch Markets and Requirements: Be accountable for compliance readiness of new country launches and new regulatory requirements. Reduce Compliance Incident Costs: Own the cost of compliance incidents, including fines, suspensions, and mass access restrictions. Build for Audit and Privacy: Make sure the product meets local data-protection laws and regulatory audit requirements. Drive Cross-Functional Delivery: Align roadmaps across Regional Compliance, Legal, Operations, Risk, Engineering, and leadership. Skills, Knowledge and Expertise Product Experience: 5+ years of product management experience at high-volume platforms (Ride-hailing, On-Demand Marketplaces, FinTech, or Logistics), with a focus on platform or internal products that other teams and services depend on. Rules-Driven Products: Experience building products where external or policy requirements set the logic, such as compliance, risk, Trust & Safety, payments or tax. Experience working directly with legal or regulatory teams is a plus. Records & Lifecycle: Experience with products that manage accounts, documents and their statuses over time, such as onboarding or account management, where data quality and decision history matter. Multi-Market Launches: Experience launching or adapting products across several countries with different local requirements. Platform Evolution: Experience moving a live system onto a new platform without disrupting operations, and turning repeated one-off requests into configurable solutions. Systems Literacy: Ability to partner closely with engineering teams on data models, integrations and rules configuration without needing to write code yourself. Data & Business Acumen: Highly analytical, with experience making trade-offs between risk, lost supply and cost. Stakeholder Management: Experienced in leading alignment across business, operational and technical teams and leadership. Communication: Business-fluent English proficiency (B2/C1+ or equivalent). Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary from 70 700 EUR gross. Final benefits may vary depending on the location.

Location: Mexico City, Mexico Workplace: hybrid inDrive is a global mobility platform built on fairness: passengers and drivers agree on the price together. We are building a Loyalty Program that rewards passengers for riding with us and gives them real value, not endless promotions. As Partnership Manager, Loyalty, you will own the benefits side of that program globally, across all of inDrive's markets. You will shape the value proposition across three types of benefits: external benefits co-funded by banks, financial groups and consumer brands; internal benefits funded by inDrive; and product benefits built into the app. You will bring partners on board and turn conversations into signed agreements that work in practice, and you will run experiments across all three until we find the mix that passengers actually adopt. You will be the first dedicated hire on this workstream, reporting directly to the Global Director of Loyalty. Disclaimer: CVs in Spanish will NOT be considered. Key Responsibilities Build and prioritize the global partner pipeline, with local depth in your region, choosing partners by fit with the program rather than by the volume they offer. Lead negotiations with Strategic Alliances teams at banks and financial groups, and guide them through their internal approvals (Risk, Legal, Product, Finance). Structure and negotiate term sheets, campaign terms and settlement mechanics together with our Legal and Finance teams. Shape the value proposition for external benefits (partner-funded) and internal benefits (inDrive-funded), and keep both coherent for the passenger. Champion product benefits internally: build the case with Product and other teams so that app features become part of the loyalty offer. Run the experimentation across all benefit types, from hypothesis to test design and readout, until we find the sweet spot of adoption. Work with Product and Fintech teams so every agreement can run on our native product and wallet. Define the partner offer catalog and the criteria for turning down offers that do not give passengers fair value. Track benefit and partner performance (adoption, redemptions, incrementality, return for both sides) and report it to leadership. Represent inDrive in front of partner executives across our markets. Skills, Knowledge & Expertise 6 to 10 years in partnerships, strategic alliances or business development, with at least 3 in loyalty, cashback, fintech, payments, super-apps or marketplaces. A track record negotiating co-funded campaigns or agreements with external funders such as banks, card issuers or large consumer brands. Experience working with Strategic Alliances teams at banks or financial groups and navigating their internal approval chain. Experience structuring deals with Legal and Finance: term sheets, campaign terms, settlements. Hands-on experience designing and running experiments on benefits or offers (A/B tests, pilots) and acting on the results. Comfort with data: you read redemption dashboards and understand incrementality and campaign ROI. Fluent Spanish and English. How you work You influence without authority, moving several internal teams and an external partner at once. You translate between worlds: you can explain our model to a bank and a bank's request to our Legal and Finance teams. You have the judgment to say no to volume that does not serve passengers, and the tact to keep the relationship. You are comfortable building from zero, with no closed playbook. You communicate clearly with executives and work autonomously through long negotiation cycles. You care about fair value for passengers, not only about the size of the funding. Nice to have Experience inside a bank, card issuer or fintech, or an existing network in one or more of inDrive's markets. Knowledge of banking and fintech ecosystems in emerging markets across Latin America, Asia or Africa. Experience with both funding models: partner prefunds the incentive, or the platform advances it and settles later. Background in ride-hailing, delivery or mobility. Having launched a partner program from scratch. Interest in purpose-driven initiatives. Location and team Scope: Global. You will build partnerships and benefits across inDrive's markets in Latin America, Asia, Africa and beyond. Location: Peru, Colombia or Mexico. We will prioritize candidates with a network in Peru or Colombia. Reports to: Global Director of Loyalty. Works with: Product, Fintech, Legal, Finance and the corporate Partnerships team, on a global, English-speaking team.

Location: Lima, Peru Workplace: hybrid inDrive is a global mobility platform built on fairness: passengers and drivers agree on the price together. We are building a Loyalty Program that rewards passengers for riding with us and gives them real value, not endless promotions. As Partnership Manager, Loyalty, you will own the benefits side of that program globally, across all of inDrive's markets. You will shape the value proposition across three types of benefits: external benefits co-funded by banks, financial groups and consumer brands; internal benefits funded by inDrive; and product benefits built into the app. You will bring partners on board and turn conversations into signed agreements that work in practice, and you will run experiments across all three until we find the mix that passengers actually adopt. You will be the first dedicated hire on this workstream, reporting directly to the Global Director of Loyalty. Disclaimer: CVs in Spanish will NOT be considered. Key Responsibilities Build and prioritize the global partner pipeline, with local depth in your region, choosing partners by fit with the program rather than by the volume they offer. Lead negotiations with Strategic Alliances teams at banks and financial groups, and guide them through their internal approvals (Risk, Legal, Product, Finance). Structure and negotiate term sheets, campaign terms and settlement mechanics together with our Legal and Finance teams. Shape the value proposition for external benefits (partner-funded) and internal benefits (inDrive-funded), and keep both coherent for the passenger. Champion product benefits internally: build the case with Product and other teams so that app features become part of the loyalty offer. Run the experimentation across all benefit types, from hypothesis to test design and readout, until we find the sweet spot of adoption. Work with Product and Fintech teams so every agreement can run on our native product and wallet. Define the partner offer catalog and the criteria for turning down offers that do not give passengers fair value. Track benefit and partner performance (adoption, redemptions, incrementality, return for both sides) and report it to leadership. Represent inDrive in front of partner executives across our markets. Skills, Knowledge & Expertise 6 to 10 years in partnerships, strategic alliances or business development, with at least 3 in loyalty, cashback, fintech, payments, super-apps or marketplaces. A track record negotiating co-funded campaigns or agreements with external funders such as banks, card issuers or large consumer brands. Experience working with Strategic Alliances teams at banks or financial groups and navigating their internal approval chain. Experience structuring deals with Legal and Finance: term sheets, campaign terms, settlements. Hands-on experience designing and running experiments on benefits or offers (A/B tests, pilots) and acting on the results. Comfort with data: you read redemption dashboards and understand incrementality and campaign ROI. Fluent Spanish and English. How you work You influence without authority, moving several internal teams and an external partner at once. You translate between worlds: you can explain our model to a bank and a bank's request to our Legal and Finance teams. You have the judgment to say no to volume that does not serve passengers, and the tact to keep the relationship. You are comfortable building from zero, with no closed playbook. You communicate clearly with executives and work autonomously through long negotiation cycles. You care about fair value for passengers, not only about the size of the funding. Nice to have Experience inside a bank, card issuer or fintech, or an existing network in one or more of inDrive's markets. Knowledge of banking and fintech ecosystems in emerging markets across Latin America, Asia or Africa. Experience with both funding models: partner prefunds the incentive, or the platform advances it and settles later. Background in ride-hailing, delivery or mobility. Having launched a partner program from scratch. Interest in purpose-driven initiatives. Location and team Scope: Global. You will build partnerships and benefits across inDrive's markets in Latin America, Asia, Africa and beyond. Location: Peru, Colombia or Mexico. We will prioritize candidates with a network in Peru or Colombia. Reports to: Global Director of Loyalty. Works with: Product, Fintech, Legal, Finance and the corporate Partnerships team, on a global, English-speaking team.

Location: Limassol, Cyprus Workplace: hybrid inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production. We are hiring a Senior Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers. Key Responsibilities Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call. Drive technical research and design for new platform features. Weigh trade-offs and write them down. Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture. Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load. Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics. Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks. Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests. Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones. Skills, Knowledge and Expertise 5+ years of commercial backend engineering, including high-load systems. Strong Go: you know and have used its advanced features in production. Solid Python for data processing (batch, streaming and async) and for service code. Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores. Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability. Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM). Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow. Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar). Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers). Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer. Nice to have: Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow. GPU or LLM inference experience (vLLM, Triton, Langfuse). Experience using AI coding agents with full review of generated changes. Experience in emerging markets, or building where there is no playbook yet. Experience with Infrastructure-as-Code (IaC) tools Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 59 200 EUR gross Final benefits may vary depending on the location.