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INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Bachelors or Masters or PhD in Linguistics or a related field. Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills.

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. About the role: We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) and a passion for language, technology, and clear communication. You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing Key Responsibilities: Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Identify and resolve issues related to ambiguity, bias, and grammaticality. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Qualifications: Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Next Steps To proceed further in the evaluation process, you will need to complete two assessments: Assessment Test Evaluates your linguistic and analytical skills Versant English Proficiency Test Focuses on assessing your spoken and written English proficiency Action Required: XConnect Registration You will also receive an invitation to our internal job platform, XConnect . Please take a few minutes to register and complete your profile. All project onboarding, communication, and documentation are managed through this platform. If interested, kindly share your resume at:

INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Bachelors or Masters or PhD in Linguistics or a related field. Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills.

INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Bachelors or Masters or PhD in Linguistics or a related field. Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills.

Amaris is looking for a Senior Consultant in Health Economics and HTA to join our dynamic and international team ! As part of our HEMA department (Health Economics & Market Access - ). Interesting information about HEMA: We are a dynamic and expert team of more than 80 collaborators, located in 8 countries (Canada, U.S.A, Spain, France, U.K., China, Bulgaria and Tunisia), gathering more than 15 different nationalities, our main activities are Health Economics, Evidence Value & Access, and Biostatistics. Let us show you what you could do with us, and how you can impact the world being a HEMA consultant: Your Responsibilities: You will join the team as Senior Consultant in Health Economics and HTA: Act as a lead analyst on projects including Health Economics (CEM, BIMs, cost-calculator etc.), HTA submissions. In that role: Interact with the client to have a good understanding of their need Identify optimal methodological solutions to address the need Lead the implementation of the corresponding solution and development of high-quality deliverables Lead client meetings Act as a project manager on projects including Health Economics and HTAs Act as the main point of contact to the client Coordinate the work of team members internally Represent company expertise in capabilities, presentations, conferences, and external events, and contribute to the preparation of proposals Providing management and technical support to other team members within the Health Economics and Market Access department Coach junior team members (guidance on methodological expertise, soft skills, and professional development). Responsibilities: Responsible for delivering on a cluster of projects within the Health Economics and HTA team Acts as Project Manager, Lead Analyst and/or technical advisor on projects within your specialty Operational Excellence: Accountable for quality checking that the staffing on projects within your cluster is optimal Safeguard for quality of deliverables within your cluster–set standards of excellence and transmit know-how to project teams and delivery managers under your supervision Business Development support: Supporting development of project extensions or the proactive creation of opportunities with existing clients to strengthen partnerships with key accounts Supporting the development of proposals within area of expertise Your Qualifications: You hold an advanced degree (minimum Master’s or equivalent) in Health Economics, Biostatistics, or a related field. You have over four years of relevant experience in health economics and HTA, with solid knowledge of submissions in key markets. You are proficient in Excel and VBA; experience with R is a plus. You can independently design, organize, implement, and present project plans, while also working effectively within a team. You demonstrate strong project management and leadership skills, with experience supervising project teams. You communicate clearly and professionally, both in writing and speaking, with clients and team members. You bring a creative mindset and a proactive, solution-oriented approach to problem solving. You are fluent in English; knowledge of French or other languages is an asset. What You’ll Get From Us: Diversity & Inclusion: We welcome all qualified candidates regardless of gender, orientation, ethnicity, beliefs, age, or disability. International Environment: Offices in Montreal, Toronto, London, Paris, Barcelona, Sofia, and Shanghai. Career Growth: Be part of a global consulting group with 6,000+ team members in 60+ countries. Impact: Work on projects that make a real difference in healthcare. Our Recruitment Process Brief Call: Get to know each other and discuss your motivations. Interviews: Meet your future manager and team members (average 3 interviews). Case Study: Depending on the role, you may be asked to complete a technical or problem-solving exercise.

The fastest-growing European SaaS company is searching for a Team Lead, Mobile! You can be our perfect match! About DocuSketch: DocuSketch, with its European Headquarters in Potsdam, Germany, is Europe's leading software technology provider for the digital real estate economy. With our product brands Immoviewer and DocuSketc, we have become one of the most successful and fastest-growing software vendors in the rapidly expanding property tech sector. Our enthusiastic customer base is located across Europe and in North America. DocuSketch's ground-breaking digital technology greatly facilitates real estate companies and building restoration companies to digitize, visualize, and virtualize real estate properties. Our solutions help our clients to realize tremendous cost-saving potentials, process optimization, and revenue growth. Our mobile app is the heart of our product — the primary interface for our customers and the engine behind the company's financial success. It's how work gets done in the field, and we're making it faster, smarter, and more intuitive. Right now, we're in the middle of a full rewrite. Clean architecture, modern patterns, no legacy. You'll be joining at a moment where foundations are being laid and every decision shapes what comes next. We're looking for a Mobile Team Lead to lead the greenfield rewrite of our iOS/Android application using Kotlin Multiplatform and Compose Multiplatform (CMP). This role combines strong technical leadership with a genuine focus on people management—you'll be equally invested in architectural decisions and in helping your team members grow their skills and advance their careers. You should be someone who thrives on developing talent, providing both support and constructive challenge, and building teams that deliver excellent work while leveraging modern AI-assisted development tools like Cursor or Claude Code. If you're energized by both solving complex technical problems and coaching engineers to become their best, this role offers that balance. Key Responsibilities People Leadership Drive the team's professional growth and skill development; create targeted learning plans and coach team members on AI-assisted development practices Provide psychological safety for the team to achieve and learn, remove blockers, and advocate for your team's needs with stakeholders Set ambitious but achievable goals that stretch team members beyond their comfort zones Give candid, constructive feedback regularly—challenge technical decisions thoughtfully and address underperformance directly and compassionately Identify high-potential team members and create opportunities for them to own technical areas as DRIs and lead initiatives Champion your team's achievements and ensure sustainable pace Design comprehensive onboarding programs for team members transitioning to KMP/CMP and foster a culture of continuous learning Technical Leadership Facilitate distributed architecture decision-making where team members own technical areas as DRIs (navigation, database, networking, etc.) Keep the big picture in view: vet and guide decisions based on whether they make everyday development easier or harder Champion simplicity and pragmatism — spot over-engineered solutions that solve problems we don't have Push back on patterns and practices that add complexity without clear business value Establish lightweight coding standards that enable velocity rather than ceremony Contribute high-impact changes to the codebase and maintain hands-on involvement in code reviews with a focus on readability and maintainability Drive adoption of AI-powered development tools across the team, demonstrating tangible productivity improvements Collaborate with product and design to translate requirements into straightforward technical solutions Required Qualifications 8+ years of mobile development experience (iOS and/or Android) Strong proficiency in Kotlin and experience with Kotlin Multiplatform Hands-on experience with Compose Multiplatform or Jetpack Compose Demonstrated proficiency with AI coding assistants (Cursor, Claude Code, or similar) with the ability to train others is a must 2+ years of direct people management experience, leading teams of 3-8 engineers Proven track record of developing engineers into their next level Experience giving difficult feedback and managing performance improvement plans Preferring business outcomes over technical purity — will choose a simple solution that ships over a perfect one that doesn't Leading by example, including hands-on coding and learning new technologies What we offer: A greenfield rewrite on modern foundations A product-first mindset with mobile at the core of our strategy A fully remote team with a base in Berlin Dedicated weekly hours for learning, prototyping, or experimenting with new tools Competitive salary We are seeking a performance-driven, high-energy personality who has several years of experience in the field. Since you will work intensely with teams from many countries, proficiency in the English language is a prerequisite. We offer attractive compensation, unlimited career opportunities, and the possibility to work in one of the most exciting software companies in the industry. The position will be remote in any location of choice in Europe (outside Russia, Ukraine, and Belarus). Our headquarters are in Berlin, Germany, with major offices in Belgrade, Serbia, Lakeland, Florida, and in Canada. We look forward to receiving your application! Company website:

We’re looking for an ambitious and passionate Product Manager who enjoys building useful, and scalable products. You’ll join our team and help shape the platform that brings offline performance marketing to life. What’s Oppizi Oppizi is the first major multi-channel player in offline performance-marketing. We’ve built a technology which enables tracking, scaling and optimisation of flyering and direct mail campaigns. We offer 4 channels, Flyering, Door-to-Door, Direct Mail, and Insert Media (E-commerce). We operate in 12 countries, the main ones being Australia, New Zealand, France, UK, Canada and in the US. We are very privileged to work with flagship accounts like Uber, DoorDash, Wonder, Chipotle, Deliveroo and many others. Job description The successful candidate will contribute across core areas of our product ecosystem, including the flyer builder, campaign creation flows, optimisation tools, and integrations that accelerate our go-to-market efforts. They will partner closely with engineering, design, data, suppliers, and internal stakeholders to translate business needs into clear product outcomes. They will also engage directly with our ICP1 and 2 users to understand their experience, validate assumptions, and prioritise development work. Their output will directly shape how marketers run campaigns and measure performance. In addition, they will leverage the latest AI tools to prototype new feature concepts and present them to the team as part of the product discovery process. As part of the product discovery and delivery process, we expect you to: Own the problem space: mapping friction points, understanding the market and industry needs, challenging assumptions, identifying root causes, and ensuring the team solves the right problems. Translate strategy and insights into direction: convert unclear or ambiguous needs into a clear and testable initiative with measurable success criteria. Prototype rapidly using AI tools: create lightweight functional prototypes (not just wireframes) to validate feasibility, refine the scope, and align the team around the solution. Be the voice of value: push for impact and ensure what is being built has clear commercial, operational, or customer value. Own the roadmap and prioritisation: create realistic and outcome-driven plans, balancing speed, technical constraints, and stakeholder expectations. Unblock the team: facilitate decisions, resolve ambiguity, and remove constraints to maintain the team's pace and alignment. Partner deeply with engineering and design: collaborate daily, turning vision into solutions together Measure and iterate: define success metrics, monitor performance of initiatives, gather feedback, and lead iterations in the product. Responsibilities Build lightweight prototypes using AI tools during discovery and present to the team. Define and execute the product strategy in partnership with key stakeholders (C Level) Lead discovery, scope definition, and feature prioritisation. Work with engineering and design to deliver features and improvements. Collaborate with suppliers on system integrations and understand the dynamics of their platforms. Break down complex initiatives into clear tasks and coordinate delivery across multiple teams. Produce documentation such as product requirement documents, feature guides, and epics. Communicate clearly with technical teams, vendors, business partners, and leaders. Host Agile ceremonies, facilitate requirement sessions, and maintain initiative plans. Track deadlines, dependencies, decisions, and risks to ensure consistent progress. Launch new products and features, monitor performance, and iterate based on insights. Requirements 5+ years of experience in Product Management in fast-paced startups within cross-functional teams (squads). 1–2 years of experience using AI coding or prototyping tools (e.g., Cursor, Claude, Replit, Codex, or similar). Experience managing products through full life cycles, from discovery to launch. Strong problem-solving and conceptual-thinking skills. Great experience in Atlassian software suite, confluence, Jira, product discovery and more. Analytical and data-driven mindset (ie: SQL) is a plus. Ability to turn ambiguous concepts into clear and actionable plans. Strong UX/UI understanding and ability to shape intuitive user experiences. Benefits Competitive remuneration Laptop provided after probation period Free health insurance Flexible PTO policy Possibility to work 1 month per year in one of our offices (New York City, London, Berlin, Paris, Rotterdam, Sydney, Melbourne, Mexico City, …) Join a entirely bootstrapped company with employees from over 17 different countries

We are hiring an Ag Tech Product Manager Biome Makers is a global AgTech on a mission to restore soil health! We are a fun, multicultural and energetic team, composed of industry experts, top scientists, and talented engineers. We preserve the startup mindset of innovation and continue to bring solutions to tackle global challenges. Founded in California’s Silicon Valley in 2015, Biome Makers is setting the standard in soil health with BeCrop® technology. We integrate soil microbiology into agricultural decision-making to optimize farming practices and reverse the degradation of arable soils. With labs across the globe, customers on 4 continents, and over 1 million acres of land impacted, Biome Makers has revitalized soil functionality and agricultural sustainability worldwide. We are looking for a dynamic, passionate, and motivated Product Manager to join the Product team. Location: Spain (remote) Duties & Responsibilities Maintain the product roadmap aligned with company goals, customer needs, and market trends. Collaborate with stakeholders to identify key product opportunities, improvements, and differentiators in the AgTech market. Become an expert on Biome Makers’ products and service, and remain informed about digital farming solutions in the AgTech market Integrate and filter feedback from multiple departments in contact with clients, and communicate with IT and DS to define and coordinate digital products development Continuously evaluate competitive offerings and industry trends to keep the product competitive and valuable for clients. Work closely with development and design teams to translate the product vision into actionable and prioritized features in the backlog. Work closely with development and design teams to translate the product vision into actionable and prioritized features in the backlog. Lead initiatives to enhance the usability and accessibility of the platform, prioritizing a seamless user experience for customers to access, analyze, and interpret data. Collaborate with designers to create intuitive, visually appealing dashboards and reports that present complex data in an understandable format. Implement and monitor key product metrics, adjusting strategies based on performance data and user feedback. Develop and maintain comprehensive product documentation for internal teams and clients, covering platform functionality, updates and best practices. Job competencies & Personal attributes: Bachelor’s degree in Business, Mathematics, Computer Science, Information Systems, or a related field +5 years’ experience in Digital Product management or similar roles Knowledge and experience within AgTech space is a must Analytical skills to identify needs and obtain feedback from clients Knowledge of product methodology Experience with client communication Ability to develop and maintain long-lasting relationships with clients and stakeholders Outstanding English communication skills, both verbal and written Best Perks in the Industry Competitive Salary Remote Work Environment Flexible Scheduling Hours Competitive & Quick Growth Path Professional Development & Education Opportunities Cross-department Support And more! Why Join Biome Makers? Biome Makers is an ecosystem. Our team specializes in soil science, agriculture, business, genetics, biotechnology, computer science, and much more. We are a global team spanning Spain, the USA, Canada, Brasil, Argentina, and many other countries, all focused on one shared goal: to promote sustainable agriculture worldwide. After all, soil is alive. It harbors an abundance of life forms that breathe, grow, work together, respond to their environment and perform functions on a community level. Like soil, at Biome Makers, we grow, work together, and perform many functions to support each other and the mission towards soil recovery. As part of our dedication to the diversity of our workforce, Biome Makers is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, disability, or veteran status. We´d love to hear from you!

INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine. By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms. Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We are seeking a highly analytical and detail-oriented linguist to support AI training initiatives and linguistic content creation. This role is ideal for someone with a strong academic background in linguistics (syntax, semantics, pragmatics, morphology, phonology, sociolinguistics, etc.) You will play a crucial role in shaping the capabilities of large language models (LLMs) and NLP-based systems through high-quality linguistic data curation, annotation, and evaluation. Job Title: Linguistics Expert – AI Training & Content Writing (Language: Spanish, Location: Bachelors or Masters or PhD in Linguistics or a related field. Create or edit linguistically- rich content including grammar guides, syntactic analyses, usage explanations, or examples for NLP pipelines. Perform quality assurance (QA) on model outputs for fluency, tone, factual accuracy, and language appropriateness. Annotate linguistic datasets with syntactic, semantic, or pragmatic labels. Support internal teams by conducting linguistic research and summarizing findings. Apply linguistic knowledge to evaluate model behavior, error patterns, and generalization issues. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills. Deep understanding of linguistic theory and language structure. Experience with one or more of the following is a plus: computational linguistics, corpus analysis, language data annotation, LLM training. Strong writing, editing, and communication skills.