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Location: Recife, Brazil Workplace: hybrid As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice. We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A. Note: ONLY CVs in English will be considered. Key Responsibilities Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging. Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements. Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs). Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit. Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close. Use technology and AI tools to build and scale automated accounting processes. Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements. Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP. Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting. Skills, Knowledge & Expertise 10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration. Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid. Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance. Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership. Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A. A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development. Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments. Clear communication in English, written and spoken. An authorized public accounting license such as Chartered Accountant or local equivalent. Nice to have: experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT. Job Benefits Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions. Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued. Competitive salary as a full-time employee. Hybrid work arrangements to support a healthy work-life balance.

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: 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 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.

Location: Limassol, Cyprus Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals Why join us 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 Annual salary from EUR 90 700 gross Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid You will lead analytics for the Services cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas: Watchdocs (driver document verification and work with the compliance base), Trust & Safety (everything related to trust and safety in rides — incidents and safety features), Customer Support (both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance), Customer Experience (Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and Antifraud (protecting rides, transactions, ratings, and more from abuse across inDrive). You will build and manage a team that partners closely with product, operations, support, and compliance to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction. In this role, you will act as a strategic partner to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform. Key Responsibilities Own the analytics strategy and roadmap for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership Build, grow, and develop a team of 11+ (analysts) — hiring, mentoring, and setting quality standards across the cluster Lead Antifraud analytics : detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives Drive Trust & Safety analytics : measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers Oversee Customer Support analytics : assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance Lead CX analytics : connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions Guide Watchdocs analytics : the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience Define and standardize metrics, definitions, and monitoring across the cluster; ensure data quality in partnership with DWH, DS, and Engineering Establish best practices in experimentation (A/B testing), causal inference, forecasting, and effect measurement across the team Partner cross-functionally at the company level (Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders Skills, Knowledge and Expertise 6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses 2+ years of people management, leading teams of 10+ people, including other managers or team leads Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference) Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level Proficiency in BI tools (Tableau, Looker, Redash, or similar) Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences English proficiency at B2 or higher for international collaboration Nice to Have Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance Experience with fraud / risk modeling, anomaly detection, or safety analytics Familiarity with text / sentiment analysis for customer-feedback data Experience scaling analytics across multiple countries and verticals 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: Washington, United States Workplace: hybrid inDrive is seeking a Senior Revenue Accountant to serve as the US GAAP subject-matter expert for our global Revenue Accounting team, while staying hands-on in the monthly close. You will form and document the accounting conclusions behind our revenue streams, and you will also own the execution: preparing and posting journal entries, reconciling accounts, and defending the numbers with auditors. This role requires regular collaboration during US Eastern business hours. Key Responsibilities Technical Accounting & ASC 606 Own the application of ASC 606 across all revenue streams and divisions, including the five-step model, principal vs. agent (gross vs. net) assessments, performance obligations, variable consideration, and consideration payable to customers (incentives, promotions, refunds) Research authoritative guidance and interpretive literature, and author clear technical accounting memos and position papers for new products, pricing changes, partner contracts, and non-routine transactions Review new commercial arrangements early to flag accounting implications, and translate conclusions into system, data, and process requirements Assist in preparing revenue disclosures when asked (disaggregation, contract balances, remaining performance obligations) and monitor new FASB/SEC guidance to support public company readiness Revenue Operations & Close Prepare and post journal entries in the ERP for revenue, customer incentives, refunds and chargebacks, payment provider fees, bad debt reserves, and loan-related activity Perform monthly balance sheet reconciliations and revenue flux analysis; investigate variances and ensure completeness, cutoff, and accurate period alignment Tie source and subledger data to the general ledger in a high-volume, multi-currency environment, partnering with Payment Provider Reconciliation and Data teams to resolve breaks Controls, Audit & Process Improvement Design, document, and operate SOX-compliant controls over revenue, including process narratives and risk and control matrices Serve as a contact for external auditors on revenue: walkthroughs, PBC requests, and defense of technical positions Drive automation of revenue recognition and JE workflows, partnering with Finance Systems and Data teams to reduce manual effort and risk Skills, Knowledge & Expertise Required qualifications CPA, CA, or equivalent professional designation; bachelor’s degree in Accounting or related field 8+ years of progressive accounting experience, including Big 4 (or equivalent) public accounting and industry revenue or technical accounting Deep, hands-on ASC 606 expertise with a track record of writing technical memos that withstand auditor scrutiny Strong command of US GAAP more broadly, plus working knowledge of SOX and internal controls Hands-on close experience: preparing and posting JEs, reconciliations, and flux analysis in an ERP (NetSuite, SAP, or Oracle) Experience with high transaction volumes and multi-currency accounting; advanced Excel skills Excellent written and verbal English; able to explain complex conclusions simply to non-accountants Preferred qualifications Experience at a public company or through IPO readiness, including SEC reporting and PCAOB audits Background in marketplaces, platforms, payments, or fintech, where principal vs. agent and incentive accounting are central Comfort with SQL/BigQuery or revenue subledger tools; a drive to automate and improve processes in a fast-moving, global environment Why join us 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: Cairo, Egypt Workplace: hybrid We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains. You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery. Key Responsibilities Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data Support analysts and business teams with data requests, fostering data-driven decision-making across the company Contribute to system design and architecture with the development team Skills, Knowledge and Expertise Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team Nice to have Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex) Interest in building LLM-based agents and AI tooling for data 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: Mexico City, Mexico Workplace: onsite We are seeking a Group Lead (Supervisor) it will be responsible for the operational management of a team of users verification agents, ensuring service quality, efficiency, and achievement of key performance metrics. The role combines people management, process control, and data-driven decision-making, while acting as a bridge between frontline operations and business stakeholders. Key Responsibilities Direct management of a team of 20-25 support agents Shift supervision and real-time workload management Task distribution and queue monitoring to ensure SLA compliance Workforce planning: scheduling, vacations, and shift coverage Monitoring and analysis of key KPIs (AHT, SLA productivity, etc.) Regular 1:1 meetings, performance reviews, and feedback sessions Identifying performance gaps and implementing improvement plans Coaching and mentoring team members Quality assurance oversight and calibration with QA teams Ensuring adherence to internal policies, procedures, and compliance standards Identifying process inefficiencies and driving improvements Onboarding and continuous training of agents Development of training materials and knowledge base contributions Supporting skill development and career growth within the team Skills, Knowledge & Expertise Bachelor’s degree in Management, Business, Data Analysis or related field Strong leadership and people management skills Analytical thinking and ability to work with performance metrics Excellent communication and stakeholder management skills Problem-solving and decision-making abilities Advanced user of Google Workspace (Sheets, Docs, Slides) English proficiency: B1 or higher Hybrid work model: two working days followed by two days off, with working hours from 8:00 a.m. to 8:00 p.m. Job Benefits Opportunity for advancement and upward mobility within the organization, allowing for increased levels of responsibility and growth within the company Hybrid work

Location: Mexico City, Mexico Workplace: onsite We are seeking a Group Lead (Supervisor) it will be responsible for the operational management of a team of users verification agents, ensuring service quality, efficiency, and achievement of key performance metrics. The role combines people management, process control, and data-driven decision-making, while acting as a bridge between frontline operations and business stakeholders. Key Responsibilities Direct management of a team of 20-25 support agents Shift supervision and real-time workload management Task distribution and queue monitoring to ensure SLA compliance Workforce planning: scheduling, vacations, and shift coverage Monitoring and analysis of key KPIs (AHT, SLA productivity, etc.) Regular 1:1 meetings, performance reviews, and feedback sessions Identifying performance gaps and implementing improvement plans Coaching and mentoring team members Quality assurance oversight and calibration with QA teams Ensuring adherence to internal policies, procedures, and compliance standards Identifying process inefficiencies and driving improvements Onboarding and continuous training of agents Development of training materials and knowledge base contributions Supporting skill development and career growth within the team Skills, Knowledge & Expertise Bachelor’s degree in Management, Business, Data Analysis or related field Strong leadership and people management skills Analytical thinking and ability to work with performance metrics Excellent communication and stakeholder management skills Problem-solving and decision-making abilities Advanced user of Google Workspace (Sheets, Docs, Slides) English proficiency: B1 or higher Hybrid work model: two working days followed by two days off, with working hours from 8:00 a.m. to 8:00 p.m. Job Benefits Opportunity for advancement and upward mobility within the organization, allowing for increased levels of responsibility and growth within the company Hybrid work

Location: Mexico City, Mexico Workplace: onsite We are seeking a Group Lead (Supervisor) it will be responsible for the operational management of a team of users verification agents, ensuring service quality, efficiency, and achievement of key performance metrics. The role combines people management, process control, and data-driven decision-making, while acting as a bridge between frontline operations and business stakeholders. Key Responsibilities Direct management of a team of 20-25 support agents Shift supervision and real-time workload management Task distribution and queue monitoring to ensure SLA compliance Workforce planning: scheduling, vacations, and shift coverage Monitoring and analysis of key KPIs (AHT, SLA productivity, etc.) Regular 1:1 meetings, performance reviews, and feedback sessions Identifying performance gaps and implementing improvement plans Coaching and mentoring team members Quality assurance oversight and calibration with QA teams Ensuring adherence to internal policies, procedures, and compliance standards Identifying process inefficiencies and driving improvements Onboarding and continuous training of agents Development of training materials and knowledge base contributions Supporting skill development and career growth within the team Skills, Knowledge & Expertise Bachelor’s degree in Management, Business, Data Analysis or related field Strong leadership and people management skills Analytical thinking and ability to work with performance metrics Excellent communication and stakeholder management skills Problem-solving and decision-making abilities Advanced user of Google Workspace (Sheets, Docs, Slides) English proficiency: B1 or higher Hybrid work model: two working days followed by two days off, with working hours from 8:00 a.m. to 8:00 p.m. 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: Manchester, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Company Deliveroo is a multi-award winning, international food business and one of the most successful recent technology companies to come out of the UK.  We are on a mission to transform the way customers eat, just as Airbnb has for travel and Amazon has for e-commerce. Our aim is to bring great food to customers as fast as possible and in less than 30 minutes. Whether you want Pad Thai in the evening, a salad at lunch or forgot some key grocery items, we’ve got it covered. The Team The Small Medium Business (SMB) teams are responsible for Deliveroo’s relationships with thousands of independent restaurant and retail partners that operate on the Deliveroo marketplace in a number of markets across Europe, ensuring that they continue to grow and operate efficiently. The SMB team spans the full life-cycle of partner interactions from initial acquisition, on-boarding, reactive support and proactive account management. The Sales team is the start of our funnel, consisting of inbound and outbound teams for all of Deliveroo’s EU markets (UK, Ireland, France, Italy and Belgium), across the restaurant, grocery and retail verticals. The Role As a Sales Operations Manager you will oversee and develop high-performing operational teams while designing and delivering long-term strategic frameworks to enhance commercial performance. As an Operations Manager, you will work closely with the function leads to ensure the operation is both efficient and high performing. You will strive for excellence by understanding stakeholder requirements and support on delivering operational initiatives that drive performance. Based in Manchester, 3 days a week onsite. Core Responsibilities Operational Leadership Guide daily activities across operational functions, ensuring quality and quantity of sales volume, adherence to performance targets, and seamless cross-team collaboration Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in delivering the right partner outcomes Coach, mentor, and develop team members, cultivating an inclusive and accountable environment focused on continuous improvement. Strategic Planning Define and translate medium to long-term strategies into actionable business plans that drive commercial objectives—such as revenue growth, profitability, and efficiency. Monitor KPIs and financial metrics, using insights to adjust processes, manage risk, and support strategic decision-making and effective planning processes Collaborate with senior leadership to align commercial strategy with operational capabilities and resource allocation Stakeholder Engagement & Communication Drive transformation and continuous improvement initiatives, integrating new technologies and operational models that support commercial targets. Communicate strategic plans, performance trends, and operational insights to executive teams, commercial partners, and frontline staff What You’ll Be Doing Supporting the day-to-day Contact Centre operations ensuring the teams are set up for success in order to deliver our monthly, quarterly and annual commercial objectives Designing and implementing new strategic initiatives across the centre ensuring cross functional alignment and coaching teams to embed new ways of working. Delivering the operational strategy for the EU hub, ensuring local programs are executed efficiently including but not limited to implementation of product launches, identifying skill gaps, creating and implementing local incentives that drive performance. Championing change and leading on identifying new ways of working in collaboration with other Deliveroo functions to ensure we have the right tools and content to support our agents in acquiring new partners Partnering with the central teams to build robust plans that support driving change in the hub; through better engagement, improved efficiencies or increased capabilities. Acting as a mentor and senior lead to junior Team Leads. Collaborate with Learning and Development to ensure content of training materials and programmes is of maximum value to staff The Candidate This is a fast-paced role which will require an individual that can balance a number of competing priorities whilst remaining focused on core performance indicators. The candidate will be passionate about delivering initiatives that drive performance across the operation and will be someone who is innovative in their approach. The successful candidate will have a keen eye for detail and will be someone who has strong stakeholder management skills. The required skills include: Good organisational skills with the ability to balance multiple priorities in a live operational environment Strong written and verbal communication skills Proven ability to lead and deliver complex plans against deadlines ensuring a clear prioritisation model is implemented Strong eye to detail with proven ability to think outside of the box in order to create long term solutions A self-starter; proactive & always thinking of what the next step needs to be in order to future proof Exceptional stakeholder management, with resilience & maturity to face challenges from senior members of the business & deliver a positive outcome The desired experiences include: Minimum 3 years of experience in function that is focused on driving performance improvements Minimum 5 years in people leadership roles Experience working within Contact Centre environments Experience within high velocity sales management role, able to gain insight from the ear test as well as through data and feedback Why Deliveroo? Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, when and where they want it. We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, seeking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Brazil, Colombia Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The world's largest human resources consulting firm, headquartered in New York City, with main branches in 40+ countries. Over 25,000 employees operate internationally in more than 130 countries. Its services are used by 97% of Fortune 500 companies What You’ll Do Collaborate directly with business stakeholders and domain experts to understand their objectives, processes, constraints, and expected outcomes. Analyze business requirements, documentation, examples, templates, and other reference materials provided by stakeholders. Identify workflows and use cases that can be implemented or improved through Claude Code Skills. Design, implement, test, and maintain reusable Claude Code Skills. Create clear skill instructions, supporting scripts, reference materials, validation logic, and reusable workflow components. Translate complex or ambiguous business processes into structured, executable instructions for AI agents. Evaluate skill behavior using realistic scenarios, test cases, and acceptance criteria Improve the reliability, accuracy, usability, and maintainability of developed skills through iterative testing and stakeholder feedback. Technical leadership over the other engineers: review, direction, unblocking. What You Bring Strong hands-on experience using Claude Code in real software-development or business-workflow scenarios. Practical experience creating Claude Code Skills or comparable reusable capabilities for -AI coding agents. Strong understanding of modern AI engineering patterns, including agentic workflows, tool use, prompt engineering, context engineering, and structured instruction design. Proven hands-on software engineering experience and the ability to build, review, test, and maintain production-quality solutions. Ability to transform business requirements and domain knowledge into clear technical designs and executable workflows. Experience evaluating and improving non-deterministic AI solutions. Ability to own the technical shape of the whole capability, not individual skills: standards, shared components, evaluation and release strategy, backwards compatibility. Ability to define and enforce what a well-formed skill looks like, what belongs in shared infrastructure, and what gets rejected in review. Ability to make and justify platform‑level decisions - including choices around agent harnesses, integration architecture, and build‑versus‑adopt strategies, while providing clear technical rationale for foundational decisions that impact the entire platform Nice to have Hands-on experience with Claude Code, and specifically with authoring Claude Code Skills, plugins, or MCP servers. Evaluation tooling for LLM systems (promptfoo, LangSmith, custom harnesses). Consulting or professional services background. Domain exposure to HR technology, compensation & benefits, payroll, or workforce analytics. Experience building internal developer tooling or standing up a platform capability. Public artefacts: open-source agent tooling, published skills or plugins, conference talks, technical writing on agentic engineering. English level Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Remote; New York; Washington, D.C. ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for an experienced partnerships leader to own and scale ElevenLabs’ strategic relationships with cloud hyperscalers and Systems Integrators, the companies whose platforms, field teams and delivery capacity sit at the heart of how enterprises buy and deploy voice and customer experience AI. You’ll build and manage co-sell and marketplace programmes with AWS, Microsoft Azure and Google Cloud, and build joint GTM and delivery motions with Regional and Global Systems Integrators. The goal: get ElevenLabs deeply embedded in hyperscaler partner networks and SI practices, so that when enterprises modernize their contact centers or build on cloud infrastructure, ElevenLabs is the natural AI voice layer, and partners have both the incentive and the capacity to sell and deliver it. This is a 0→1 build in a high-leverage category. You’ll design co-sell and SI GTM frameworks, drive pipeline with hyperscaler field teams, structure marketplace and private offer motions, negotiate referral, resell and joint-offering agreements with SIs, and own the revenue and pipeline outcomes that come from these relationships. WHAT SUCCESS LOOKS LIKE (FIRST 6-9 MONTHS) - Partner-sourced and influenced revenue: closed-won ARR attributable to hyperscaler and SI relationships - Hyperscaler marketplace and co-sell presence: listings live, co-sell registrations flowing, and active motions running with hyperscaler field teams - SI practice activation: named SI practice leads, certified practitioners and at least one joint offering or solution play in market - Partner-sourced pipeline: qualified opportunities sourced or co-sold through hyperscaler and SI field teams each quarter - Field activation: measurable engagement with hyperscaler sellers and SI client partners and delivery teams, not just BD or alliance leads, translating to warm intros and joint account planning REQUIREMENTS - 8+ years in technology partnerships, alliances, or GTM roles within SaaS or cloud, with direct experience running hyperscaler partner programmes and SI/GSI partnerships - Hands-on experience with hyperscaler co-sell programmes (AWS ISV Accelerate and ACE, Microsoft AI Cloud Partner Programme, Google Cloud Partner Advantage or equivalent) and marketplace operations (listings, private offers, commit burndown). You know how field co-sell actually works, not just the theory - Working knowledge of the SI ecosystem: relationships with practice leads and client partners at GSIs and RSIs, and an understanding of how SIs build practices, attach services to software ARR, and allocate delivery capacity - A builder mindset: experience creating co-sell and SI motions from 0→1, rather than inheriting a mature programme - Comfortable with technical, API-driven products; able to work with solutions engineers to scope solution architectures and articulate ElevenLabs’ value to technical partner audiences - Experience building enablement, certification or reference architectures that activate partner field and delivery teams at scale - Based in North America - Bonus: background combining 3-4 years in a quota-carrying sales or solutions role with 3-4 years in partnerships or alliances; prior experience at a company that successfully scaled through cloud marketplace and SI channels LOCATION This role is remote-first, so it can be executed from anywhere in North America, with the ability to operate in US Eastern and Pacific timezones. If you prefer, you can work from our offices in New York or San Francisco. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Swahili speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Swahili speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Swahili, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Swahili and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

– Опыт коммерческой разработки от 5 лет и уверенное владение Python. – Умение проектировать и сопровождать production-сервисы: API, модели данных, очереди и фоновые задачи, тесты, метрики, логи и tracing.