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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: Limassol, Cyprus Workplace: hybrid At inDrive, a passenger and a driver agree on a price in seconds. What happens next, from the moment the driver accepts the order until the passenger steps out of the car, decides whether that passenger will open inDrive again. We are looking for a Senior Product Manager to own the passenger's ride experience : from driver assignment to a successfully completed trip. You will shape how passengers wait for and meet their driver, how they feel during the ride, and how the trip ends. This role goes beyond screens and flows. Your work will directly affect completed rides, cancellations, passenger trust and retention. Key Responsibilities Own the Ride Experience End-to-End: You will define and evolve the passenger journey after a driver is assigned: waiting for pickup, meeting the driver, the ride itself and the end of the trip. Turn More Matches into Completed Rides: Find and remove the reasons why passengers and drivers cancel after they have agreed on a ride, so that more matched orders end in a successful trip. Make Pickup Predictable: Improve ETA accuracy, driver tracking, pickup point clarity and passenger-driver communication, so that passengers and drivers find each other quickly and without stress. Build Trust and Safety into the Ride: Together with the safety team, develop in-ride features such as trip sharing, route monitoring and emergency tools that help passengers feel safe and in control. Close Every Trip Well: Own the end of the ride: trip summary, payment confirmation, ratings and feedback, and resolving post-trip issues such as disputes or lost items. Experiment and Optimize Continuously: Run A/B tests and iterate on key levers such as waiting rules, notifications, communication tools and cancellation policies. Collaborate Across Domains: Work closely with driver product, safety, maps and geo, payments, customer support and data teams to keep the experience consistent for both sides of the ride. Skills, Knowledge and Expertise 4+ Years in Consumer Marketplaces: Proven track record leading high-scale consumer products, preferably in ride-hailing, delivery, or platforms with offline operational components. Operational & System Understanding: Hands-on grasp of real-world logistics—including ETAs, geolocation, cancellations, and support workflows—alongside two-sided marketplace incentives (passengers vs. drivers). Data & Experimentation Rigor: Skilled in A/B testing, funnel and cohort analysis, and data-driven decision-making under uncertainty to rapidly test bold hypotheses. User-Centric & Safety Mindset: Deep empathy for passenger anxieties during a ride, with the ability to design trust-building UX while treating safety as an absolute product requirement. Cross-Functional Alignment: Proven success collaborating across diverse product teams (Driver Experience, Maps, Safety, Payments, Support) to navigate conflicting priorities and reach consensus. Clear & Strategic Communication: Ability to articulate complex product trade-offs, operational trade-offs, and strategic decisions to both technical teams and executive 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: Almaty, Kazakhstan Workplace: hybrid We’re looking for an Internal Investigations Manager to join our team and take the lead on fraud investigations across our business. You’ll run investigations end to end — from gathering evidence and interviewing witnesses to analysing what happened and presenting your findings. You’ll also look beyond individual cases to spot patterns, uncover control gaps, and help make our processes stronger. If you’re naturally curious, highly objective, comfortable handling sensitive information, and not afraid to ask the uncomfortable questions — we’d love to hear from you. Key Responsibilities Manage end-to-end fraud investigations across countries, ensuring timely closure Gather, preserve, and document digital and operational evidence in line with chain-of-custody best practices Conduct structured interviews (in-person or video) with whistleblowers, witnesses, and internal stakeholders. Prepare clear, well-structured investigation reports and case summaries for internal stakeholders Identify control gaps or process weaknesses through investigations and recommend remediation actions Identify systemic fraud patterns and conduct root cause analysis on recurring case types, translating findings into actionable recommendation Monitor implementation of controls across business units Participate in cross-team collaboration and knowledge-sharing sessions Contribute to the development and continuous improvement of investigation procedures, templates, and methodologies — including responsible use of AI for efficiency Skills, Knowledge & Expertise Bachelor’s degree. 7+ years of investigation experience , including independently managing investigations end to end, from intake through evidence collection, interviews, analysis, and formal reporting. Professional proficiency in English Strong skills in evidence handling and chain of custody, structured interviewing and statement-taking, OSINT, link analysis and relationship mapping . Experience with NUIX, Relativity, digital evidence handling, and data analytics . Big 4 experience is preferred. Certified Fraud Examiner (CFE) certification — nice to have. Strong analytical and structured thinking skills, with the ability to make sense of complex, incomplete, or contradictory information. High standards of integrity, objectivity, discretion, and confidentiality . Strong emotional intelligence and communication skills , with the ability to handle sensitive interviews and communicate difficult findings to senior stakeholders. Professional courage and attention to detail , with the ability to stand behind conclusions under pressure. A drive to go beyond individual investigations by identifying systemic fraud patterns, control gaps, and root causes , and turning findings into actionable improvements. 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: Almaty, Kazakhstan Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 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 Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Conditions & Benefits Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 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. Annual salary from 70 700 EUR gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid Delivery Hub is one of inDrive’s business units responsible for building and scaling the delivery product, which is rapidly expanding into new markets and adopting an AI-first approach to engineering processes. We are looking for a Tech Lead who will combine hands-on engineering with leadership responsibilities: owning team delivery and execution, defining technical direction and ensuring solution quality, as well as supporting engineers’ growth through feedback, mentoring, and regular 1:1s under the guidance of an Engineering Manager. Key Responsibilities Translate business needs into a technical strategy with measurable outcomes. Ensure alignment with the global company strategy. Identify and propose architectural and technical improvements across the product and platform, using data and trade-off analysis. Advocate, present, and defend technical solutions at the organizational level in collaboration with various stakeholders (Product, Data, Security, SRE, etc.). Participate in reviewing product & technical strategies as a subject-matter expert. Lead the process of technical research and implementation to create or improve services and systems. Write clean, effective, and maintainable code based on company standards. Participate in improving company-wide code and review standards. Take ownership of and improve the Android development lifecycle. Help engineers grow and increase their productivity. Create effective processes for knowledge sharing and collaborative work. Increase the re-use of best practices across teams. Lead task decomposition; mentor engineers and contribute to engineering guidelines. Skills, Knowledge and Expertise 6+ years of commercial Android development; expert in Kotlin and modern Android APIs. Hands-on experience with Retrofit/OkHttp, Coroutines/Flow (plus RxJava for legacy), Jetpack (Compose, WorkManager), Google Maps, FCM, and Gradle. Proven experience with CI/CD (GitHub Actions/GitLab CI), feature flags, and large-scale A/B experimentation. Strong grasp of offline storage, concurrency, performance tuning, and network debugging. Practical expertise in Clean Architecture and mainstream patterns (MVI/MVVM/MVP) applied in production. Deep understanding of client-server interaction and how to make it efficient. Knowledge of specific features and limitations for various use cases. Proven record of mentoring and technical leadership, shaping processes, and raising engineering quality across teams. Strong grasp of backend-service principles, API design, networking, concurrency, and performance optimization. Experience setting up telemetry, dashboards, and automated alerts for production systems; risk assessment and mitigation. Exceptional communication, strategic thinking, and influence; able to drive alignment across multiple teams. AI-first mindset and readiness to adopt AI tools in engineering processes. Real backend development experience is a strong plus. 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: Abu Dhabi, United Arab Emirates Workplace: hybrid Autonomous vehicles are coming to the markets in which inDrive serves, but the AV industry has a blind spot: it has almost no data from the cities where we operate. inDrive runs one of the world's largest ride-hailing fleets, concentrated in exactly the emerging markets global AV players have yet to reach. We are building the team that turns that fleet into an AV grade data platform: large scale multi sensor collection from real vehicles on real trips, evaluation of driving models against human drivers, automated and human in the loop causal annotation, and camera first 3D scene reconstruction for simulation. We are hiring the founding leader of this workstream. This is a rare true zero to one: you will hire the team, stand up the vehicles and the data platform, set the technical bar, and own delivery end to end. Key Responsibilities Own the AV data workstream end to end. Roadmap, execution, quality, and outcomes, from vehicle data capture through processing, annotation, and delivery of AV-grade datasets Build the team from zero. Hire and lead a multi disciplinary team covering large scale data engineering, search and serving, ML engineering across divergence detection, edge inference, and VLM based auto labeling, 3D reconstruction research, and data annotation operations. Own the hiring bar and the team's growth Management : Manage ML engineers' charter across the cluster Set technical direction across disciplines. Provide design authority for the full pipeline, including onboard capture, cloud ingestion and processing at fleet scale, semantic and causal labeling, and neural scene reconstruction, and make the key technical decisions on evidence Partner with leaders across the organization. Work closely with the leaders of data platform, ML ops, geo and mapping, and inDrive's wider autonomous vehicle initiatives to align roadmaps, share infrastructure, and unblock delivery Own external partnerships. Drive the technical relationships this work depends on, including the NVIDIA AV ecosystem and prospective AV partners consuming our data Balance research and delivery. Several of the core questions here are open research. You frame milestones as decision gates, redirect work based on evidence, and keep the team shipping measurable results on a schedule Skills, Knowledge and Expertise 10+ years of engineering experience in applied ML, autonomous systems, or large-scale data and ML platforms, including 3+ years in the autonomous vehicle industry or closely adjacent autonomy domains (AV data, simulation, or evaluation platforms, ADAS, robotics perception, HD mapping), and 4+ years managing engineering teams, with a track record of building teams from scratch and delivering from zero to one Strong command of the modern AV and foundation model landscape: vision-language models, multi-modal perception, 3D reconstruction and neural rendering, and the NVIDIA AV ecosystem. Deep enough to set direction, review designs, and make evidence-based technical calls Genuine engineering leadership range: you have successfully led data engineering, platform, or infrastructure delivery, not only ML research, and can evaluate and unblock work across those disciplines Proven ability to take large-scale ML systems from conception to production: data pipelines, training and evaluation infrastructure, and models running under real-world constraints Strong external presence: experience owning technical partnerships, vendor and licensing relationships, or customer-facing technical engagements at a senior level Deep fluency in the modern ML stack (PyTorch or equivalent, large-scale training and inference, Python and Linux) and in cloud data platforms at multi-terabyte scale Bachelor's degree in Computer Science, Engineering, or a related field Nice to have: AV industry experience specifically in offline evaluation, data mining, annotation platforms, or simulation, as distinct from on-vehicle stack development Advanced degree (MS or PhD) in ML, robotics, or computer vision Experience operating in emerging markets, and comfort building where the playbook does not exist yet 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: Lima, Peru Workplace: hybrid We are looking for a data-driven Product Marketing Manager to own the strategy, execution, and continuous optimization of our customer lifecycle and product engagement initiatives. Please apply with your CV in English. Key Responsibilities Campaign Preparation and Execution: Independently create, schedule, and execute marketing campaigns (email, push notifications, WhatsApp, in-app messages, banners) across multiple customer segments. Optimize campaigns for delivery across time zones, devices, and customer preferences. Ensure compliance with legal standards such as GDPR and other regional requirements. Audience Segmentation: Design and implement custom segmentation strategies based on multidimensional criteria such as behavior, demographics, orders and ride history, and engagement levels. Maintain dynamic customer segments that update automatically as data changes. Trigger Campaign Configuration: Build and manage multi-step automated workflows, such as re-engagement, loyalty program adoption, or upselling campaigns, with minimal supervision. Test and troubleshoot triggers to ensure proper execution and alignment with the customer lifecycle. Testing and Optimization: Plan, execute, and document A/B and multivariate tests for key campaign elements, including design, timing, and messaging. Use insights from testing to implement data-driven improvements across campaigns. Perform regular performance reviews to refine optimization strategies. Reporting and Analysis: Generate detailed reports on campaign performance, interpreting metrics like open rates, CTRs, conversions, and ROI. Present data insights to stakeholders and provide actionable recommendations to improve rider and driver engagement. Collaboration and Mentoring: Collaborate with cross-functional teams (content, design, analytics) to deliver campaigns. Provide guidance and support to junior CRM specialists, including peer reviews and knowledge sharing. Skills, Knowledge & Expertise CRM Platform Proficiency: Independently execute at least five end-to-end campaigns quarterly using advanced CRM platform features (e.g., Bloomreach, Salesforce Marketing Cloud, HubSpot). Build at least three advanced automations quarterly, such as multi-step workflows with branching logic (e.g., loyalty or churn prevention campaigns). Complete at least two courses with intermediate certification for Bloomreach or demonstrate equivalent expertise. Data Analysis and Reporting: Create detailed reports with data visualizations for at least five campaigns quarterly, incorporating metrics like open rates, conversion rates, and ARPPU. Work with datasets using tools like Excel or Google Sheets with advanced functions (e.g., INDEX/MATCH, QUERY). Present campaign insights to stakeholders in three formal presentations with actionable recommendations. Digital Marketing Expertise: Apply intermediate-level knowledge of digital marketing strategies, including personalization, retargeting, and customer journey mapping. Assist in the strategic planning of at least two multi-channel campaigns integrating email, WhatsApp, in-app, banners, and push notifications. Advanced Data Handling: Segment audiences dynamically based on real-time data, using at least three different criteria simultaneously. Ensure data compliance by implementing processes that align with GDPR/CCPA requirements for all campaigns. English Proficiency: Write comprehensive campaign briefs and reports in English, ensuring accuracy and clarity. Lead or co-lead cross-functional meetings in English, presenting updates or insights confidently. Advanced Testing and Optimization: Conduct and analyze A/B tests for at least five campaigns quarterly, including testing subject lines, offers, layouts, and timing. Implement changes based on test results, achieving measurable improvements in key KPIs (e.g., a 5 statistically significant lift in conversion). Communication Deliverability: Monitor and resolve deliverability issues for campaigns. Use tools like Postmaster Tools or delivery reports to troubleshoot spam issues and optimize sender reputation. 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: Tbilisi, Georgia Workplace: hybrid Geo Search runs the search that tens of millions of customers use to say where they are going, across many countries where the commercial maps everyone else leans on are often wrong, incomplete, or simply missing. We are building our own search and recommendation stack, which means we own the data, the ranking, and the measurement. The team is cross-functional, spanning backend, machine learning, mobile, and QA, and works with a product manager focused on relevance and with geo analysts. It owns place search and autocomplete, geocoding, ranking and personalization, location detection and pickup selection, and its own search screens on Android and iOS. It is measured on order conversion, search conversion, and mean reciprocal rank We are looking for a Senior Data Scientist to own ranking, relevance and recommendation for geo search: the models that decide which places a customer sees, in what order, and how that changes with context. This is a modeling role with production responsibility, and it is close to a founding one. You will define how relevance is measured here, build the training data from scratch, and own the models that follow. The interesting constraint is that suggestions must return within tens of milliseconds of each keystroke, in cities where map data is thin and people type in mixed scripts, so model choice is an evidence-based trade-off you will own rather than a preference: gradient-boosted ranking on behavioral data today, transformers and large language models where they earn their place in query understanding and cross-script matching, and neural reranking if the failure analysis justifies it. Ground truth comes from what drivers, couriers and customers actually do, and from completed rides, so a large part of the craft is turning messy behavioral logs into labels you can trust. You will measure your impact through offline evaluation and online A/B tests, and changes reach millions of customers in weeks. Key Responsibilities Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact Keep models healthy after launch as data and cities shift Skills, Knowledge and Expertise Minimum qualifications 5 or more years building models that shipped and improved a production metric Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers Experience taking a model to production and owning it afterwards The ability to work across teams, since search quality work generates data and engineering tasks that others own Preferred qualifications Depth in geocoding, autocomplete, or place search Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes Relevance tuning on OpenSearch or Elasticsearch, including analyzers Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets Designed search evaluation pipeline before (Datasets preparation, query/index tuning, search system scores) Worked with and customised Learned-To-Rank plugin on OpenSearch to improve ranking 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: New Delhi, India Workplace: hybrid We’re building a Content Design function from scratch and we need people who want to be a part of that. We see a Content Designer as a thinker and decision-maker, not as someone who operates at the text level only. Logic, scenarios, and solutions come first — everything else comes after. Key Responsibilities Work closely with Product Teams and take ownership of local support updates. Make sure that the right knowledge is there at the right time. Think scenario first, not just in answer templates or individual edits. Based on that, create clear and usable content: flow descriptions, articles, instructions, etc. Partner with local Support Teams: deliver knowledge updates, ask for feedback from real life, iterate, and improve. Help evolve content guidelines and standards. Skills, Knowledge & Expertise 1+ years of experience in either UX Writing, Content Design, or Knowledge Management. Basic experience with analyzing support tickets or customer journey mapping (CJM). Strong written communication skills and attention to detail, which you can demonstrate through your portfolio. Experience with iterating and improving content based on feedback, research, and data. Strong cross-functional collaboration 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: Limassol, Cyprus Workplace: hybrid We’re looking for an Internal Investigations Manager to join our team and take the lead on fraud investigations across our business. You’ll run investigations end to end — from gathering evidence and interviewing witnesses to analysing what happened and presenting your findings. You’ll also look beyond individual cases to spot patterns, uncover control gaps, and help make our processes stronger. If you’re naturally curious, highly objective, comfortable handling sensitive information, and not afraid to ask the uncomfortable questions — we’d love to hear from you. Key Responsibilities Manage end-to-end fraud investigations across countries, ensuring timely closure Gather, preserve, and document digital and operational evidence in line with chain-of-custody best practices Conduct structured interviews (in-person or video) with whistleblowers, witnesses, and internal stakeholders. Prepare clear, well-structured investigation reports and case summaries for internal stakeholders Identify control gaps or process weaknesses through investigations and recommend remediation actions Identify systemic fraud patterns and conduct root cause analysis on recurring case types, translating findings into actionable recommendation Monitor implementation of controls across business units Participate in cross-team collaboration and knowledge-sharing sessions Contribute to the development and continuous improvement of investigation procedures, templates, and methodologies — including responsible use of AI for efficiency Skills, Knowledge & Expertise Bachelor’s degree. 7+ years of investigation experience , including independently managing investigations end to end, from intake through evidence collection, interviews, analysis, and formal reporting. Professional proficiency in Russian and English — mandatory. Strong skills in evidence handling and chain of custody, structured interviewing and statement-taking, OSINT, link analysis and relationship mapping . Experience with NUIX, Relativity, digital evidence handling, and data analytics . Big 4 experience is preferred. Certified Fraud Examiner (CFE) certification — nice to have. Strong analytical and structured thinking skills, with the ability to make sense of complex, incomplete, or contradictory information. High standards of integrity, objectivity, discretion, and confidentiality . Strong emotional intelligence and communication skills , with the ability to handle sensitive interviews and communicate difficult findings to senior stakeholders. Professional courage and attention to detail , with the ability to stand behind conclusions under pressure. A drive to go beyond individual investigations by identifying systemic fraud patterns, control gaps, and root causes , and turning findings into actionable improvements. 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 58 000 EUR gross Final benefits may vary depending on the location.

Location: Abu Dhabi, United Arab Emirates Workplace: hybrid About the role We are preparing the data foundation for our autonomous-driving work, and we are hiring the engineer who will start it. Today we collect street-level imagery and GPS tracks from vehicle cameras, including our own camera units with NVIDIA edge devices on board, and use them to update maps. Next comes a dedicated survey vehicle with a full sensor set: multi-camera, IMU, LiDAR. You will start with the imagery and map data pipelines we run today, and as the sensor platform arrives, you will build the pipelines that turn its data into training datasets for autonomous-driving models. Key Responsibilities Build the pipelines that move multi-sensor data (multi-camera video, IMU, LiDAR, GPS) from vehicles into cloud storage, synchronize and geo-reference the streams Own the storage layout and lifecycle for sensor data: partitioning, hot and archival tiers, cost control as volume grows Build validation and monitoring on the ingest path: incomplete uploads, missing or unsynchronized streams, vehicles that stopped producing usable data Prepare training datasets for autonomous-driving models: select data by location, route, and conditions, version datasets, and deliver them in the formats ML teams need Until then: take over and develop the current imagery and GPS-track pipelines from vehicle cameras, and contribute to geodata pipelines (ingestion from company data, OpenStreetMap, Overture Maps and vendors, conflation, validation, publication) Work with company data in BigQuery and keep spatial queries fast on large PostGIS and GeoParquet tables Skills, Knowledge & Expertise 4+ years in data engineering Experience with multi-sensor data from vehicles or robots: cameras, IMU or LiDAR, and keeping the streams in sync Experience preparing training datasets for computer vision or autonomous-driving models. Large volumes of binary or media data in object storage (S3 or GCS); distributed processing (Spark or equivalent) Hands-on experience with spatial data: PostGIS, GeoPandas/Shapely, coordinate reference systems, GPS tracks Strong Python and SQL; AWS or GCP, Docker, Kubernetes Nice to have Sensor data formats such as ROS2 bag, MCAP or point clouds Parquet, Delta or Iceberg; Databricks Argo Workflows or Airflow OpenStreetMap and Overture Map QGIS BigQuery 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: Tbilisi, Georgia Workplace: hybrid We are looking for a Technical Program Manager to own inDrive’s largest cross-team programs end to end. You will work across tens of teams, partner directly with product and engineering leadership, and decide not only how our biggest programs are delivered but which ones we run and in what order. The role sits between product intent and technical reality. You will work with Product Managers to scope, prioritise and phase what we build, and with engineering to decide how it gets built - then own the dependency picture across the entire surface. This is a deeply technical role. You will spend your time in architecture discussions, design reviews and trade-off decisions, not only in status meetings. We are looking for someone who has built software or led engineers, and who can hold their own with staff engineers and architects. You will join the Program Management team inside the Product & Technology PMO, alongside Product & Engineering Excellence and CTO/CPO Operations. Please note that we are looking for a candidate based in Georgia (the country), not the U.S. state Key Responsibilities Coordination of several product teams’ work to ensure delivery of value within expected timelines Working closely with Engineering manager and team members to create products and achieve tangible impact throughout the development lifecycle Managing project schedules, identifying potential issues, and timely informing all key stakeholders Managing priorities, risks, and dependencies Establishing a process for continuous improvement of metrics - performance (delivery and discovery), quality, as well as team engagement and maturity Facilitating project or program-level events Skills, Knowledge and Expertise End-to-End Ownership. Own end-to-end delivery of inDrive’s largest org-wide technical programs, from initiation and scoping through architecture, execution, launch and adoption, against measurable outcomes over multiple quarters Product Partnership. Partner with Product Managers across business verticals and platform to scope programs, challenge and sharpen requirements, agree what is in and out, and turn ambiguous product intent into a program with a defensible shape Prioritisation and Phasing. Drive prioritisation and phasing decisions with Product and Engineering — what ships first, what can wait, what can be split — so that value lands early and the plan survives contact with reality Cross-Surface Dependencies. Identify, map and resolve dependencies across the whole surface, including the ones nobody has noticed yet Technical Depth. Understand technical implementation at the architecture level and contribute to decisions on system design, scalability and reliability Solution Architecture. Own the technical coherence of end-to-end solutions that span multiple services, platforms, vendors and markets, and be accountable for the technical KPIs and SLAs your programs commit to Technical Judgment. Use your engineering background to help teams make sound design decisions, identify gaps in proposed solutions and weigh product-versus-technology trade-offs Portfolio Management. Own a portfolio of programs: sequence them, resolve cross-program dependencies and capacity conflicts, and make the calls on scope, timeline and technical approach Structure in Ambiguity. Create structure where none exists by defining program frameworks, decision points, operating cadences and communication models Systemic Risk. Detect risk visible only from a cross-program vantage point, and intervene to stabilise at-risk programs anywhere in the portfolio Execution at Scale. Identify where the organisation is losing speed, design scalable processes to fix it, and drive adoption across all Prod/Tech teams Executive Partnership. Partner directly with Product/Engineering Directors, VPs, the CTO and CPO on priorities, goals and trade-offs, and own executive communication so decisions are made quickly and with the right information Craft Leadership. Mentor Technical Program Managers and set the craft direction for the program management group 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: Rabat, Morocco Workplace: hybrid We’re building a Content Design function from scratch and we need people who want to be a part of that. We see a Content Designer as a thinker and decision-maker, not as someone who operates at the text level only. Logic, scenarios, and solutions come first — everything else comes after. Key Responsibilities Work closely with Product Teams and take ownership of local support updates. Make sure that the right knowledge is there at the right time. Think scenario first, not just in answer templates or individual edits. Based on that, create clear and usable content: flow descriptions, articles, instructions, etc. Partner with local Support Teams: deliver knowledge updates, ask for feedback from real life, iterate, and improve. Help evolve content guidelines and standards. Skills, Knowledge & Expertise 1+ years of experience in either UX Writing, Content Design, or Knowledge Management. Basic experience with analyzing support tickets or customer journey mapping (CJM). Strong written communication skills and attention to detail, which you can demonstrate through your portfolio. Experience with iterating and improving content based on feedback, research, and data. Strong cross-functional collaboration 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 We’re building a Content Design function from scratch and we need people who want to be a part of that. We see a Content Designer as a thinker and decision-maker, not as someone who operates at the text level only. Logic, scenarios, and solutions come first — everything else comes after. Key Responsibilities Work closely with Product Teams and take ownership of local support updates. Make sure that the right knowledge is there at the right time. Think scenario first, not just in answer templates or individual edits. Based on that, create clear and usable content: flow descriptions, articles, instructions, etc. Partner with local Support Teams: deliver knowledge updates, ask for feedback from real life, iterate, and improve. Help evolve content guidelines and standards. Qualifications 1+ years of experience in either UX Writing, Content Design, or Knowledge Management. Basic experience with analyzing support tickets or customer journey mapping (CJM). Strong written communication skills and attention to detail, which you can demonstrate through your portfolio. Experience with iterating and improving content based on feedback, research, and data. Strong cross-functional collaboration 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: Almaty, Kazakhstan Workplace: hybrid Intercity covers intercity rides and parcel delivery in 35+ countries across LATAM, MENA, Central and South Asia, and Southeast Asia. Key Responsibilities Develop features for passenger and driver client apps. Work with geolocation, maps, and real-time order statuses. Run A/B experiments, manage feature flags, and implement analytics events. Do code reviews, write tests, and co-design solutions with backend and iOS engineers. Build with AI tools (Claude Code, Copilot) as part of an AI-First approach. Skills, Knowledge and Expertise 3+ years of commercial Android development with Kotlin. Good knowledge of Coroutines, Flow, MVVM/MVI and DI (Dagger/Hilt). Experience with Jetpack Compose. Experience working with multi-module projects and Gradle. Understanding of networking, caching and working with unstable connections. Experience with unit testing. English level: B1+. Nice to have: Experience with maps and geo services, such as Google Maps or 2GIS. Experience with Play Integrity, fake GPS protection or other anti-fraud solutions. Experience with Spec-First or AI-assisted development. 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: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is building the Private Equity channel into one of the company's most significant sources of enterprise growth. Sponsors and their operating teams shape how portfolio companies run finance, and when they standardize on a platform, they do it across dozens of companies at once. This role will be focused on managing the largest funds in the market. You will own a book of the most strategic PE firms Ramp works with, many of which have multiple investment investment strategies, fund vehicles, and GP stakes businesses under a single name. Each one likely has a different operating partner for each strategy, a deal team with its own relationships, and portfolio CFOs who make the final call. Your job is to know all of them, keep every thread moving, and turn that access into measurable adoption across their portfolios. It is a high-volume, high-stakes book. The work is relentless relationship management paired with genuine commercial discipline, and it carries the highest CP goal on the channel team. There are only a handful of these seats at Ramp, and real executive visibility comes with them. What You'll Do - Own a book of upmarket and megafund PE partners, serving as their primary relationship owner at Ramp. - Multi-thread across each firm: operating partners by strategy, deal teams, platform and portfolio operations leaders, and portfolio-company CFOs. - Run disciplined portfolio analysis to find where Ramp can create value, and work with Account Executives to convert that into pipeline. - Generate and own qualified pipeline against an aggressive CP target, prioritizing the large opportunities that move the number. - Negotiate custom partnership structures where they make sense, including adoption commitments, and hold the line where terms do not work for Ramp. - Partner with Events, Growth, Marketing, and Finance to deliver sponsorships, webinars, executive dinners and the collateral your partners ask for. - Build and maintain the operating system behind the book: relationship maps, portfolio analysis, follow-ups and next steps across a large partner set on a tight touch cycle - Use AI to automate research, portfolio mapping, call prep and follow-through so the book scales beyond what manual effort allows What You Need - A track record of carrying and hitting a high quota in a commercial role. Outbound sales development, account executive, or partnerships backgrounds all work. - Deep working knowledge of how a private equity firm is structured, including the distinct roles of operating partners, deal teams, and portfolio leadership. - Demonstrated ability to build and expand relationships across a large, complex organization. - Exceptional organization and agency. History of managing a large book without dropping threads, continual follow-up, and navigating complex organizations. - Comfort negotiating directly with sophisticated counterparts, and the judgment to know when to walk away. - A practical, self-directed approach to AI. You build your own workflows rather than waiting for tooling. - Strong cross-functional instincts across events, growth, marketing and finance. Ability to work dynamically with others internally to drive results. - Willingness to travel frequently and to work from our New York office. CT or NJ with an in-office commitment also works, and we are open to relocation Nice to Haves - Experience partnering with or selling to private equity firms and their portfolio companies. - Experience at a company with an established channel sales motion. - Fintech, payments, expense management, or CFO-software background. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Vancouver, BC Senior Product Marketing Manager, IT & CIO Audiences The Asana Product Marketing team fuels business growth and builds a brand customers love. We create campaigns and content that attract new accounts and inspire current ones to grow with us. We're looking for a Senior Product Marketing Manager to own how Asana shows up to IT and digital transformation leaders. Your primary audiences are CIOs and IT Operations leaders. You'll join the Audience Marketing team, the group responsible for how Asana speaks to the specific people and industries we sell into. These buyers are navigating tool consolidation, AI adoption, governance, and the shift to agentic workflows, and you'll turn deep knowledge of their world into technically credible messaging, content the field uses every day, and campaign themes that bring new logos into the pipeline. You'll own the narrative and the sales plays that the field uses for this persona, partnering across PMM, sales and product. You will report to the Director of Product Marketing, Audience Marketing. What you’ll achieve Own the audience strategy, messaging, and positioning for CIO, digital transformation, and IT Operations personas, aligned to Asana's broader positioning and revenue goals. Become the expert on the trends driving stack change: AI adoption, tool sprawl and consolidation, security and governance and modernization. Map how these buyers decide, including budget ownership, workflows, evaluation criteria, and the roles of technical influencers and executive sponsors. Create technically credible content across the buyer journey, such as POVs, solution narratives, demos, executive briefings, and whitepapers. Act as the subject matter expert across Asana's portfolio, partnering with Core PMMs to connect products to IT priorities, such as AI governance, tool consolidation, and scaling AI agents safely across the enterprise. Equip the sales field for technical conversations with discovery guides, objection handling, competitive positioning, battlecards, and customer proof. Shape new-logo acquisition campaigns in close partnership with Campaigns to generate net-new pipeline. Represent the voice of the customer by bringing IT audience and market feedback into product and positioning decisions. Create sales enablement and ensure the success of sales plays. About you 7+ years of experience in product marketing, audience marketing, or GTM at an enterprise software company. Deep understanding of IT and technical buyers, including how stack, vendor, and budget decisions get made. Experience in ITSM, developer tools, AI and automation platforms, or work management preferred. Ability to explain complex technical and AI concepts clearly to both technical practitioners and executive audiences. Comfortable in fast-moving categories where the narrative changes quarterly, with a point of view on where the market is heading. Field-tested storyteller and writer who turns research into sales-ready content and pipeline-generating campaigns. Data-driven, with experience using qualitative and quantitative research to set strategy and measure impact. Strong presenter, equally at home in a CIO briefing or a sales enablement session, and a sharp editor who holds content to a high quality bar. At Asana, we're committed to building teams that include a v ariety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in th is role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compe nsation package plays a big part in how we recognize you for the impact yo u have on our path to achieving our mission . We believe that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by bi ases, we're c ommitted to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated base salary range is between $135,000 -$160,000 CAD The actual ba se salary wi ll vary based on various factors, including market and individual qualifications objectively assessed during the interview process . The listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more a bout the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.