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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 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 3+ 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 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 3+ 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 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 3+ 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 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 3+ 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: 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: 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. Our AI-Enabled Screening Process As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know. 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: 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.

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.

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.

Location: Vancouver, BC Senior Product Marketing Manager, Marketing & Operations Audiences The Asana Product Marketing team fuels business growth and builds a brand customers love by creating campaigns and content to attract new accounts and inspire current ones to grow with us . We're looking for a Senior Product Marketing Manager to join our Solutions and Audience Marketing team in Vancouver to own how Asana shows up to Marketing and Operations leaders and practitioners . In this role, you will go deep on these buyers and their daily workflows, turning that knowledge into messaging, field-enablement assets, and net-new acquisition campaigns that expand our pipeline . You will also own the narrative for innovative capabilities like Agentic Work Management, partnering close ly with Core PMM, Product, and Sales teams . This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Own the audience strategy, messaging, and positioning for Marketing and Operations buyers, aligning audience narratives with Asana's broader company positioning and revenue goals . Develop deep subject matter expertise on target buyer personas, uncovering insights into their workflows, team structures, tooling budgets, KPIs, and software evaluation criteria . Create compelling content across the entire buyer journey, ranging from core narratives and web copy to whitepapers, product demos, and customer-facing presentations . Partner cross-functionally with Core PMM and Product teams to translate Agentic Work Management capabilities (including prebuilt AI Teammates and no-code automations) into clear, persona-specific value propositions . Equip sales and customer-facing teams with high-impact enablement tools, such as competitive battlecards, discovery guides, customer proof points, and pitch decks . Collaborate closely with the Campaigns team to architect and execute new-logo acquisition campaigns that generate net-new qualified pipeline . Partner across the organization to identify customer champions and showcase stories highlighting how Marketing and Ops teams drive measurable outcomes with Asana . Champion the voice of the customer by channeling market insights and buyer feedback directly into product roadmap and positioning decisions . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven track record in product marketing, audience marketing, or go-to-market strategy within an enterprise SaaS organization . Deep experience developing persona-driven positioning and messaging specifically for marketing or operations decision-makers and practitioners . Working familiarity with the work management, marketing technology, or operations software ecosystem, paired with insight into how leaders evaluate AI for workflow coordination, governance, and business impact . Skilled storyteller and communicator with a demonstrated ability to turn complex research into actionable sales enablement and pipeline-generating campaigns . Analytical mindset with experience combining qualitative feedback and quantitative data to guide strategy, prioritize initiatives, and evaluate performance . Strong collaborative skills, comfortable navigating both multi-quarter strategic planning and day-to-day campaign execution across cross-functional teams . At Asana, we 're committed to building teams that include a variety of backgrou nds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package pl ays a big part in how we recognize you for the impact you 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 biases, we're commit ted to lookin g 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 $137,000 -$160,000 CAD . The actual base salary will var y based on v arious 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 compe nsation 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 about the total com pensation 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 . #LI-Hybrid 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.

Location: Zug, Switzerland PIPECARE Group is looking for an HR Administrator to join our team in Zug, Switzerland . By providing technology and service focused solutions to the international arena of the Oil and Gas industry, PIPECARE Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 25 years. Industry/sector: Oil & Gas / In Line Inspection services. HR Administrator is responsible for leading and overseeing HR administration across the group, ensuring consistent execution of group HR policies and compliance with regional HR policies and procedures. The role manages HR administrative operations, HR systems, training administration, and manages team of Regional HR Business Leads to deliver efficient, standardized, and compliant HR services across multiple locations. We are only considering the candidates who are based in Switzerland. Key Responsibilities: Execute and maintain Group HR policies and standards across multiple regions. Monitor compliance with regional HR policies and employment regulations. Manage and develop a small team of Regional HR Business Leads. Lead the end-to-end recruitment and selection process for senior leadership and C-level positions across the Group, partnering with executive management to identify, attract, and secure top executive talent. Oversee the Group HR ERP system, ensuring data accuracy, process efficiency, and continuous improvement. Coordinate group-wide training administration and compliance learning. Prepare HR reports, dashboards, and management metrics. Support HR audits and ensure compliance with internal policies and legal requirements . Counsel senior team members about HR-related matters. Manage the recruitment, selection and placement process for the assigned territory. Process and approve vacation leave benefits including air ticket and leave salary entitlement. Oversee office facility and administrative requirements. Deliver disciplinary action procedures and recommend appropriate corrective measures as per corporate procedures and in accordance with the local labor legislation. Handle performance management issues and ensure due diligence in conducting performance appraisals of permanent and probation employees on the assigned territory. Manage employee relations concerns. Receive requests in ERP and monitor timely completion of requests. Responsible for the smooth and timely delivery of services relating to HR and administrative management. Responsible for developing new programs and services related to employee management. Keep policies and procedures updated and relevant to the requirements of the company. Maintain updated, secure and confidential HR file system as per corporate standards and aligned with local labour legislation. Authorized to take first level approval for leave applications and air ticket requests. Authorized to take first level approval for cash reimbursements for medical claims and conveyance expenses for the assigned territory. Authorized to raise payment requests in ERP for allowances, accommodation expenses, bonuses, etc. Executes other tasks as might be requested by the management Skills/Experience: Bachelor's degree in Human Resources, Business Administration, or a related discipline. Minimum 5 years of HR experience, including HR operations and administration. Previous leadership experience managing HR teams. Experience working across multiple countries or regions is highly desirable. Strong knowledge of HR ERP systems. Excellent organizational, analytical, and communication skills. Ability to manage multiple priorities while maintaining high standards of accuracy and confidentiality. Fluent in English, knowledge of other language will be a plus.

Location: Budapest, Hungary Location: Hungary (Remote) Status: Full-Time | Permanent | Exempt Status Pay: USD $50,000 - $60,000 Requirement: Bachelor's degree or equivalent practical experience Looking for an impactful and exciting role with a strong focus on product design? Join Productive Playhouse as a Product Manager and help shape the experience across Central and pZero, our company internal linked contributing platform. In this flexible, remote role, you’ll turn user insights and stakeholder needs into thoughtful product solutions while partnering closely with engineering and cross-functional teams. No production frontend coding is required. Key Responsibilities Own the daily product loop for Central and pZero, from user evidence and problem definition through requirements, delivery, rollout, and adoption. Translate user evidence and stakeholder input into clear product briefs and PRDs, including problem, scope, exclusions, success measures, and acceptance criteria. Lead product design for core Central and pZero workflows, including journey mapping, information architecture, prototyping in Figma or an equivalent tool, and usability testing. Partner with the external engineering team throughout delivery, clarifying requirements and keeping work moving through review and release. Bring Product Quality into the work early enough to shape journeys, testability, and release evidence. Own rollout and adoption for shipped features, ensuring intended users can find, understand, and use new functionality. Track product outcomes after release, including adoption, task completion, cycle time, rework, defects, support burden, and the amount of follow-up required from the Director of Product. Own manager-facing and worker-facing product documentation, including onboarding materials, tutorials, how-to guides, and release education. Maintain a practical, shared design foundation with Iron Forge covering navigation, forms, tables, statuses, errors, permissions, accessibility, and responsive behavior. Maintain shared product knowledge in company-approved project and knowledge management systems, including roadmap, decisions, user evidence, product behavior, and release learning. Use approved AI tools and shared skills to improve the speed and quality of research, writing, analysis, prototyping, and documentation. Collect and prioritize input from Operations, Product Quality, Engineering, support signals, and client programs. Bring well-supported recommendations, backed by evidence and tradeoffs, to the Director of Product on major product decisions, while owning routine and reversible decisions independently. Perform other duties and ad-hoc projects as assigned. Qualifications & Skills If selected to move forward in the recruitment process, candidates will be required to complete a pre-assessment. Completion of the required assessment is a prerequisite for advancement to the next stage of the selection process. Bachelor's degree in a relevant field, or equivalent practical experience in product management or a closely related discipline. Demonstrated experience as a product owner or product manager, ideally within AI workforce product; scope of ownership matters more than years of tenure. Hands-on product or UX design experience, ideally including journey mapping, prototyping, and usability testing. Proven ability to turn incomplete or conflicting stakeholder input into a clear, bounded product problem. Experience working closely with engineering teams as a partner, not solely through ticket handoffs. Comfort using data to make or evaluate decisions, including recognizing when available data is insufficient. Experience owning outcomes after release, including adoption, documentation, and iteration based on real usage. Working familiarity with AI tools for research, writing, prototyping, and documentation, with clear human review and accountability. Strong written communication skills, able to produce material that developers, operators, managers, and users can act on directly. Ability to work effectively across distributed teams and manage ambiguity without creating unnecessary noise. Comfortable inspecting product behavior, reading technical material, and working with data; production coding is not required. Cross-functional collaboration and conflict resolution skills, with the decisiveness expected of a single-threaded owner. Work Environment & Physical Requirements Occasional travel may be required for special meetings, training, or team gatherings at the company’s headquarters or other designated locations. Routine use of standard office equipment such as computers, phones, filing cabinets, etc. Strong visual acuity for reviewing detailed documents and data on computer screens. Manual dexterity for operating a computer, including using a keyboard and mouse. Ability to lift and carry office supplies or equipment weighing up to 25 pounds. Clear verbal and written communication skills for collaboration across teams. Capacity to manage tasks that require prolonged periods of focus and concentration. Ability to handle the physical demands of a standard workweek, which may include occasional overtime, nights, weekends, and holidays, if needed. About Us As a global data company, Productive Playhouse “PPH”, is pioneering our approach to language and data services, while incorporating their roots as a production company. Originally creating content to support children's language acquisition, our commitment to excellence, forward-thinking strategies, and world-wide cultural experience has proven key for delivering exceptional service. Originally founded as an educational production company, Productive Playhouse made a mark with our award winning children’s series, which taught fundamental subjects through engaging and effective programming. This early success paved the way for our evolution into a comprehensive data services provider. Since 2011, Productive Playhouse has expanded rapidly to offer an extensive suite of data services. Our current offerings include transcription, translation, linguistic analysis, rating, systems testing, localization, field and studio recording, language skill verification, and specialized data handling with a focus on sensitivity and diversity. Our commitment to innovation means we continually enhance our service portfolio to meet the evolving needs of our clients. At Productive Playhouse, we are proud of our reputation for addressing complex challenges with agility and delivering premium, secure data solutions across diverse environments. Our dynamic team is dedicated to maintaining the highest standards and ensuring exceptional service every time. Disclaimer This job description is intended to describe the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications. Duties, responsibilities, and scope may change or evolve based on business needs and organizational priorities. Productive Playhouse reserves the right to modify, revise, or reassign responsibilities as necessary, consistent with applicable law. Equal Employment Opportunity Productive Playhouse is an equal opportunity employer. We are committed to fostering a diverse, equitable, and inclusive work environment and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, national origin, ancestry, disability, medical condition, genetic information, marital status, military or veteran status, or any other status protected by applicable law. Employment Relationship Employment with Productive Playhouse is at-will where permitted by law, meaning that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Where local laws require different terms or conditions, the employment relationship will be governed in accordance with applicable legal requirements. Work Authorization & Verification All offers of employment are contingent upon the candidate’s ability to provide valid documentation verifying identity and authorization to work in the United States or the applicable hiring location. Productive Playhouse participates in E-Verify where required by law. Reasonable Accommodation Productive Playhouse provides reasonable accommodations for qualified individuals with disabilities, in accordance with applicable law. Candidates or employees who require assistance or accommodation to perform the essential functions of the role may contact the Human Resources Department.

Location: Columbia, MD, United States Job Title Senior UX/UI Designer Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Columbia, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking an experienced Senior UX/UI Designer, for ADG Creative, an IDS subsidiary, to lead user experience strategy, design execution, and team development across complex systems and products. This role is responsible for driving high-quality user-centered design solutions, establishing UX standards, and mentoring design staff while collaborating with cross-functional teams. Key Duties • Lead, manage, and mentor UX designers, providing direction and supporting professional growth • Define and communicate UX strategy and vision across a portfolio • Develop and maintain design systems to ensure consistency, scalability, and efficiency • Facilitate design workshops and sprints to enhance collaboration across teams • Conduct user research and develop journey maps, wireframes, and high-fidelity prototypes • Advocate for end-users by identifying workflows, pain points, and needs • Define and refine UX processes, integrating Human-Centered Design within Agile development • Perform other duties as assigned Requirements • Master’s degree in a related field - TS/SCI W Poly • OR Bachelor’s degree with 12 years of experience • OR Associate’s degree or High School Diploma with 16 years of experience • Minimum 10 years of experience (aligned to the education substitution structure above) • Portfolio required Compensation $125,000k - $130,000k Benefits

Location: Vancouver, BC Head of Web Strategy and Services We’re looking for a Head of Web Strategy & Services to join our team in Vancouver and own asana.com as our front door and as a measurable driver of web conversion and sales pipeline . The Asana Marketing team is responsible for fueling business growth and building a brand customers love, partnering across the business to create a holistic digital strategy that ensures our website looks, performs, and drives measurable results in telling Asana’s story to the world . In this role, you will set the strategy for how key personas discover, understand, and navigate the site, while leading web strategy, localization, web platform (CMS), and the engineering capacity that brings it to life . This role is based in our Vancouver office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you d o and the teams with which you partner . If you're interviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Set a customer-journey-led vision for asana.com that makes our multi-product portfolio clear for every key persona, from new visitors to trial users and enterprise customers . Own the website's contribution to web conversion and pipeline, establishing a robust measurement framework and analytics practice that makes performance visible across the business . Build and prioritize the global web roadmap by synthesizing user research, analytics, experimentation, and cross-functional stakeholder input . Establish operational rigor across planning, intake, prioritization, and release cycles, ensuring the website ships quickly while maintaining high quality and governance . Drive an AI-first web operations model, integrating AI tools to accelerate content workflows, QA, localization, and data analysis . Oversee the web platform (CMS) architecture and roadmap, optimizing site performance, reliability, Core Web Vitals, and operational costs . Lead and support the web engineering and localization teams, setting technical delivery standards and ensuring international visitors receive an exceptional localized experience . Partner cross-functionally with Product Marketing, Demand Generation, SEO, Paid Media, Data Science, and Brand Design to align business priorities with customer needs . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . Proven track record leading web or digital strategy for complex, multi-product B2B SaaS websites, with measurable impact on conversion rates and sales pipeline . People leadership experience managing multi-disciplinary or technical teams, including web platform engineers, developers, and agency partners . Strong fluency across modern web architecture, CMS platforms, site performance, Core Web Vitals, and technical delivery workflows . Deep grounding in user journeys, persona-based messaging, and customer research, using experimentation and web analytics to guide priorities . Demonstrated experience scaling international web experiences and localization strategies across multiple global regions . Collaborative leadership style with the ability to influence cross-functional leade rs, balance competing organizational inputs, and advocate f or user experience . At Asana, we're committed to buil ding teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . W hat we’ll offer Our comp rehensive compensation package plays a big part in how we reco gnize you fo r the impact you 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 impact ed by biases, we're committed 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 $210,000 -$250,000 CAD . The actual base salary will 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 about 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 . #LI-Hybrid 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.

Location: Multiple Countries About Improvado Improvado is an AI-powered marketing analytics platform. It connects data from 1000+ marketing and sales sources, cleans and organizes it, and lets teams analyze it and act on it through an AI Agent, without manual reporting. Our customers are marketers, agencies and analytics teams at mid-size and enterprise companies. The Role We're looking for a UGC Creator to make short, authentic videos about Improvado and its products. You'll explain what we do and show how it helps marketers, in a real, human voice rather than a polished ad voice. What you'll do Create short videos on the product use cases, walkthroughs, "how I'd use this" stories and explainers of our features and AI Agent Turn briefs into your own script and storytelling (we give you the product input, you make it engaging) Handle filming, voiceover, editing, captions and on-screen text What we're looking for 3+ UGC or video projects in your portfolio (required) Confident on camera, with a natural, conversational delivery Strong English Able to explain a technical or B2B product in simple words Solid editing skills (CapCut, Premiere, Descript or similar) Reliable with weekly deadlines Nice to have: experience with B2B SaaS, marketing or analytics tools, or AI products Details Format: freelance, remote Commitment: 1 × ~3-min video per week Time zone: must be available for syncs in PST Please share the link to your portfolio with at least 3 available UGC videos.

Location: Pasig, Philippines Neolytix is a healthcare services and technology organization that supports medical practices and healthcare businesses through specialized operational solutions. We operate with globally distributed teams and are committed to delivering operational excellence, maintaining strong compliance standards, and creating an engaging employee experience across all locations. We are seeking an experienced, commercially minded Human Resources Business Partner (HRBP) to support leaders and employees across the Philippines, Latin America, and the United States. This individual will act as a strategic advisor and hands-on HR partner, helping business leaders build high-performing teams while ensuring fair, consistent, compliant, and people-centered HR practices. The HRBP will partner with functional and operational leaders across the Philippines, Latin America, and the United States to align people strategy with business goals. The role is responsible for advising on employee relations, performance management, workforce planning, engagement, talent development, organizational change, and policy implementation. This position requires a practical understanding of the challenges of managing distributed, multicultural teams. The successful candidate will be able to navigate regional employment practices, work effectively across time zones, maintain high levels of confidentiality, and balance employee advocacy with Neolytix’s operational and client-service requirements. Key ResponsibilitiesRegional Business Partnership Partner closely with business leaders across the Philippines, Latin America, and the United States to understand workforce priorities, operational needs, organizational challenges, and people-related risks. Translate business objectives into regional people plans covering headcount planning, hiring, retention, performance, talent development, and employee engagement. Provide proactive HR guidance to leaders on team structure, role clarity, manager effectiveness, internal mobility, succession planning, and organizational change. Act as a trusted advisor and coach to people managers, supporting them in making fair, timely, and business-aligned people decisions. Collaborate with HR, Operations, Finance, Talent Acquisition, Payroll, and Legal stakeholders to ensure coordinated people support across regions. Identify regional trends, recurring employee concerns, and organizational risks; recommend practical and scalable improvements. Employee Relations and Workplace Investigations Manage and advise on sensitive employee-relations matters, including conduct concerns, attendance, performance issues, conflicts, grievances, workplace investigations, corrective action, and separations. Ensure employee-relations matters are addressed promptly, objectively, confidentially, and with appropriate documentation. Guide managers through performance improvement plans, coaching plans, written warnings, final notices, and other corrective-action processes. Conduct or support workplace investigations in accordance with company policy, local employment requirements, and applicable escalation protocols. Partner with HR leadership and legal counsel, as appropriate, on complex employee-relations matters and high-risk decisions. Maintain consistency in the application of policies and employment practices while accounting for country-specific legal and cultural considerations. Regional Compliance and Policy Administration Support implementation and consistent application of Neolytix HR policies across the Philippines, Latin America, and the United States. Maintain working knowledge of key employment-practice requirements applicable to supported regions, including employment classification, working hours, leave administration, wage-and-hour considerations, disciplinary practices, employee documentation, and separation processes. Partner with local HR, Payroll, Finance, and external advisors to ensure appropriate country-specific compliance and documentation. Identify policy gaps, process risks, and inconsistent practices; recommend updates that balance regional requirements with a cohesive global employee experience. Support audit readiness and provide HR documentation, reports, and records as needed. Escalate legal, regulatory, and employee-relations risks to HR leadership and appropriate internal or external counsel. Performance, Talent, and Leadership Development Support the design and execution of performance-management processes, including goal setting, performance reviews, calibration discussions, development planning, and performance-improvement processes. Coach managers to give clear feedback, set measurable expectations, document performance concerns, and address issues early. Partner with business leaders and Talent Acquisition on workforce planning, job design, hiring priorities, interview quality, and onboarding readiness. Support talent reviews, succession planning, and identification of high-potential employees and critical roles. Help implement leadership-development, manager-training, and employee-learning initiatives that build capability across regions. Ensure career development and internal-mobility practices are equitable, transparent, and aligned with business needs. Employee Engagement and Culture Use employee-engagement surveys, pulse checks, retention data, exit-interview feedback, and manager input to identify cultural strengths and opportunities. Partner with leaders to develop clear and measurable action plans in response to engagement and employee-experience findings. Support initiatives that promote inclusion, recognition, effective communication, wellness, and connection among remote and distributed employees. Facilitate or support manager conversations, employee listening sessions, and culture-building activities across regional teams. Promote Neolytix values and reinforce a consistent, respectful, and accountable employee experience across the employee lifecycle. HR Operations, Data, and Reporting Maintain accurate, timely, and confidential HR documentation for supported employee populations. Partner with HR Operations, Payroll, Benefits, and HRIS teams to resolve employee concerns and ensure smooth people processes. Analyze regional people metrics, including attrition, retention, absenteeism, time-to-fill, engagement, internal mobility, performance outcomes, and employee-relations trends. Develop reports and concise insights for business leaders and HR leadership, highlighting risks, root causes, and recommended actions. Identify opportunities to streamline workflows, improve service delivery, standardize documentation, and automate recurring HR processes. Ensure employee data is handled in accordance with company standards, access controls, privacy requirements, and applicable data-protection obligations.

Location: Quezon City, Metro Manila, Philippines Neolytix is a healthcare services and technology organization that supports medical practices and healthcare businesses through specialized operational solutions. We operate with globally distributed teams and are committed to delivering operational excellence, maintaining strong compliance standards, and creating an engaging employee experience across all locations. We are seeking an experienced, commercially minded Human Resources Business Partner (HRBP) to support leaders and employees across the Philippines, Latin America, and the United States. This individual will act as a strategic advisor and hands-on HR partner, helping business leaders build high-performing teams while ensuring fair, consistent, compliant, and people-centered HR practices. The HRBP will partner with functional and operational leaders across the Philippines, Latin America, and the United States to align people strategy with business goals. The role is responsible for advising on employee relations, performance management, workforce planning, engagement, talent development, organizational change, and policy implementation. This position requires a practical understanding of the challenges of managing distributed, multicultural teams. The successful candidate will be able to navigate regional employment practices, work effectively across time zones, maintain high levels of confidentiality, and balance employee advocacy with Neolytix’s operational and client-service requirements. Key ResponsibilitiesRegional Business Partnership Partner closely with business leaders across the Philippines, Latin America, and the United States to understand workforce priorities, operational needs, organizational challenges, and people-related risks. Translate business objectives into regional people plans covering headcount planning, hiring, retention, performance, talent development, and employee engagement. Provide proactive HR guidance to leaders on team structure, role clarity, manager effectiveness, internal mobility, succession planning, and organizational change. Act as a trusted advisor and coach to people managers, supporting them in making fair, timely, and business-aligned people decisions. Collaborate with HR, Operations, Finance, Talent Acquisition, Payroll, and Legal stakeholders to ensure coordinated people support across regions. Identify regional trends, recurring employee concerns, and organizational risks; recommend practical and scalable improvements. Employee Relations and Workplace Investigations Manage and advise on sensitive employee-relations matters, including conduct concerns, attendance, performance issues, conflicts, grievances, workplace investigations, corrective action, and separations. Ensure employee-relations matters are addressed promptly, objectively, confidentially, and with appropriate documentation. Guide managers through performance improvement plans, coaching plans, written warnings, final notices, and other corrective-action processes. Conduct or support workplace investigations in accordance with company policy, local employment requirements, and applicable escalation protocols. Partner with HR leadership and legal counsel, as appropriate, on complex employee-relations matters and high-risk decisions. Maintain consistency in the application of policies and employment practices while accounting for country-specific legal and cultural considerations. Regional Compliance and Policy Administration Support implementation and consistent application of Neolytix HR policies across the Philippines, Latin America, and the United States. Maintain working knowledge of key employment-practice requirements applicable to supported regions, including employment classification, working hours, leave administration, wage-and-hour considerations, disciplinary practices, employee documentation, and separation processes. Partner with local HR, Payroll, Finance, and external advisors to ensure appropriate country-specific compliance and documentation. Identify policy gaps, process risks, and inconsistent practices; recommend updates that balance regional requirements with a cohesive global employee experience. Support audit readiness and provide HR documentation, reports, and records as needed. Escalate legal, regulatory, and employee-relations risks to HR leadership and appropriate internal or external counsel. Performance, Talent, and Leadership Development Support the design and execution of performance-management processes, including goal setting, performance reviews, calibration discussions, development planning, and performance-improvement processes. Coach managers to give clear feedback, set measurable expectations, document performance concerns, and address issues early. Partner with business leaders and Talent Acquisition on workforce planning, job design, hiring priorities, interview quality, and onboarding readiness. Support talent reviews, succession planning, and identification of high-potential employees and critical roles. Help implement leadership-development, manager-training, and employee-learning initiatives that build capability across regions. Ensure career development and internal-mobility practices are equitable, transparent, and aligned with business needs. Employee Engagement and Culture Use employee-engagement surveys, pulse checks, retention data, exit-interview feedback, and manager input to identify cultural strengths and opportunities. Partner with leaders to develop clear and measurable action plans in response to engagement and employee-experience findings. Support initiatives that promote inclusion, recognition, effective communication, wellness, and connection among remote and distributed employees. Facilitate or support manager conversations, employee listening sessions, and culture-building activities across regional teams. Promote Neolytix values and reinforce a consistent, respectful, and accountable employee experience across the employee lifecycle. HR Operations, Data, and Reporting Maintain accurate, timely, and confidential HR documentation for supported employee populations. Partner with HR Operations, Payroll, Benefits, and HRIS teams to resolve employee concerns and ensure smooth people processes. Analyze regional people metrics, including attrition, retention, absenteeism, time-to-fill, engagement, internal mobility, performance outcomes, and employee-relations trends. Develop reports and concise insights for business leaders and HR leadership, highlighting risks, root causes, and recommended actions. Identify opportunities to streamline workflows, improve service delivery, standardize documentation, and automate recurring HR processes. Ensure employee data is handled in accordance with company standards, access controls, privacy requirements, and applicable data-protection obligations.

Location: Gurugram, Haryana, India NEOLYTIX  ·  INCREDIBLY Platform Configuration Analyst InCredibly Platform Configuration  |  Non-Ops  |  Gurugram DEPARTMENT Non-Ops EXPERIENCE 2–5 Years LOCATION Gurugram (Onsite) SHIFT US Shift REPORTS INTO Manager ⚠  US Shift: This role operates on a US-aligned shift from our Gurugram office. Consistent availability during US business hours is required. Apply only if you can commit to this onsite. About the Role Neolytix is a US-headquartered healthcare managed services organization serving 270+ provider organizations across the United States, with delivery operations in Gurugram, Manila, and Chicago. InCredibly is the platform we built to run our credentialing, enrollment, and licensing operations: a rules-driven system that manages workflows, documents, timelines, and payer requirements across thousands of providers. The platform is configurable by design. Payer requirements, document checklists, follow-up protocols, and workflow variants live in a rules layer and knowledge base, not in code. When the rules are right, the platform does the work. When they are missing or wrong, people do it by hand. This role owns that rules layer. This is not a delivery role and not a development role. You are the person who decides how the platform thinks. Half the job is keeping the knowledge base accurate. The other half is turning what our operations team knows into configuration the platform can execute: workflow rules, stage templates, gate conditions, validation rules, and defaults that reduce manual work for analysts on the floor. What You Will Do 1. Knowledge Base & Rules Management Build and maintain the platform knowledge base: document checklists, validation rules, follow-up protocols, and workflow defaults, structured so the system acts on them rather than as prose for a human to read. Author configuration rules by work type, category, and variant. Keep them current as operational requirements evolve. Own the flag queue: triage issues raised by analysts, fix them, and route changes through the change-request approval workflow. 2. Workflow Configuration Translate operational patterns into workflow configuration: stage sequences, variant rules, SLA adjustments, gate requirements, and follow-up cadences. Design and test configuration changes before they go live. Version your changes, document why you made them, and maintain a clean audit trail. Coordinate with operations leads to understand process changes and translate them into updated configuration. 3. Schema & Data Model Partnership Work with the engineering team when a real-world rule does not fit the existing schema. Spot the mismatch, articulate why, and propose the change with enough context for a developer to act on it. Use SQL to validate your own work and verify data accuracy before changes hit production. 4. Measurement & Training Track what your rules do: reductions in manual touches, rework, and first-pass failures. Propose the next configuration improvement candidates from this data. Write SOPs by work type and brief analysts on how configuration changes affect their workflows. You write for people who will run the process, not for a file. What You Bring Must-Have 2 to 5 years configuring rules, data, or workflows in an enterprise platform. Backgrounds that translate well: benefit or provider configuration in payer systems (Facets, QNXT, HealthRules, Amisys), EHR application analysis (Epic, Oracle Health, Meditech), enterprise SaaS administration (Salesforce, ServiceNow, Workday, Pega), or business rules engine configuration. A demonstrated ability to take an unstructured source document, a policy, a set of requirements, an email thread, and decompose it into fields, conditions, exceptions, and checklists. You will be asked to show this in a work sample. Version control and change discipline: you document why you made a change, test before you push, and own the outcome when something breaks downstream. Clear written English. Other people will run the SOPs and playbooks you write. Strong Preference Experience with configurable workflow engines, BPM platforms, or business rules engines where you designed the rules, not just executed them. JIRA: used for managing configuration change requests, flag queues, and work tracking alongside engineering and operations teams. BPMN 2.0 awareness: ability to read and interpret process flow diagrams and translate them into platform workflow configuration. Prior experience working with US clients or in a US time-zone overlap model. Experience across more than one platform or system type: the ability to map a rule from one configuration environment to another. Nice-to-Have Exposure to US healthcare operations, RCM workflows, or provider credentialing and enrollment. Familiarity with credentialing technology platforms such as symplr, Modio Health, Medallion, or similar. Salesforce, ServiceNow, or Workday administration certification. Epic certification or formal Facets/QNXT training. Who You Are You see structure in a document that most people read as prose. A requirements page is a schema to you before it is a process. You break things before calling a configuration complete, because you have actually tested it. You write documentation that the person after you can follow without asking questions. You push back on vague requirements because you know what happens when a rule is ambiguous and live. Eligibility Criteria Education: Graduate degree in any discipline. Computer science, information systems, or a business-adjacent field is an advantage but not required. Shift: US-aligned shift, onsite in Gurugram. Consistent availability during US business hours is required from day one. Notice Period: 60 to 90 days is typical for this profile. Please state your notice period clearly. Performance Expectations What success looks like: First 90 days: domain immersion complete. Playbooks, checklists, and follow-up defaults are live for the highest-volume work types. You own the flag queue and the change-request workflow. 6 months: your first configuration improvements are in production and measured. Analysts treat the knowledge base as the source of truth rather than their own notes. 12 months: the rules layer, not analyst memory, drives most routine work. You are defining the next configuration roadmap with the Manager. Hiring Process Stage 1: Application review. Include a short note with your CV (150 to 200 words): describe one rule, template, or configuration you built that removed manual work. What was the source? How did you structure it? What happened after it went live? Applications with the note are reviewed first. Stage 2: TA screening call (20 minutes). Role fit & configuration background. Stage 3: Work sample (90-minute take-home, mandatory). You receive a business rules document and structure it into fields, conditions, checklists, and gate conditions. Skippable by nothing. Stage 4: Hiring manager interview with the Product Owner covering your work sample output and configuration approach. Stage 5: Domain and technical interview with Operations Leadership and Engineering. Stage 6: Offer. Why Join Neolytix Greenfield Ownership You define the rules layer of a live platform used in production every day. Not maintaining someone else's configuration. Not a ticket queue. Direct Access You work with the Product Owner and Operations Leadership directly. No multi-layer hierarchy between you and the decision. Domain You Can Learn US healthcare and credentialing operations are taught by the team. The configuration aptitude is what we hire for. Product Trajectory InCredibly is moving toward standalone software licensing. The person who defines how the platform encodes rules grows with it.