Join Forage AI as a Data Specialist -Technical QA. If youre a detail-oriented, tech-savvy professional who loves working with data, then this may be the right role for you! Youll collaborate with our talented team of engineers who are working at the bleeding edge of data science and data automation. Responsibilities: Our technical data specialists play an integral role in ensuring that our clients consistently receive high-quality datasets in a timely manner. You will collaborate with our dev team to ensure the end-to-end completion of the 'Extraction-QA-Feedback-Delivery process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Here’s what you’ll do: Extract, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy. Research and troubleshoot issues associated with data and/or tools provided. Catch and report bugs by highlighting trends and exceptions that require fixes. Suggest process improvement ideas that will bring efficiency and structure to workflows. Implement automation solutions to make our QA processes more robust and efficient. Work closely with our team of developers to manage ETAs and deliverables Assist our AI and RPA models by manually parsing data for delivery or process automation. Conduct domain-specific preliminary research for building subject matter expertise Own end-to-end operations process for your daily project deliverables. Respond to client inquiries related to ongoing projects. Be a culture carrier and live by all of our core values. Requirements: Must have at least a bachelor’s degree in any field. Must have worked on Excel / Google Sheets for at least 1 year. Familiarity with XPath, SQL, or any query/coding language would be a plus. Excellent attention to detail and proven ability to perform under pressure. A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data. An open-minded, motivated self-starter with a positive approach to problem-solving. An active listener who can effectively translate instructions into action. Other Infrastructure Requirements: Since this is a completely work-from-home position, you will also require the following - High-speed internet connectivity for video calls and efficient work. Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM) Dedicated workspace (at home) for uninterrupted and efficient work. Headphones with clear audio quality. Stable power connection and backups in case of internet/power failure. Additional Information: While we do have separate teams for AI & ML, this job does not guarantee an organic segue into these roles. This is not an opportunity to develop a career solely in data visualization.
Join Forage AI as a Data Specialist. If youre a detail-oriented, tech-savvy professional who loves working with data, then this may be the right role for you! Youll collaborate with our talented team of engineers and researchers who are working at the bleeding edge of data science and data automation. Responsibilities: Our data specialists play an integral role in ensuring that our clients consistently receive high-quality datasets in a timely manner. You will collaborate with our dev and research team to ensure the end-to- end completion of the 'Extraction-QA-Feedback-Delivery process. You will meet our end goal of ensuring that our clients receive carefully curated datasets that are customized and structured as per their requirements. Heres what youll do: QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy. Research and troubleshoot issues associated with data and/or tools provided. Catch and report bugs by highlighting trends and exceptions that require fixes. Suggest process improvement ideas that will bring efficiency and structure to workflows. Implement automation solutions to make our QA processes more robust and efficient. Work closely with our team of researchers to manage ETAs and deliverables Conduct domain-specific preliminary research for building subject matter expertise Own end-to-end operations process for your daily project deliverables. Respond to client inquiries related to ongoing projects. Be a culture carrier and live by all of our core values. Requirements: Must have at least a bachelors degree in any field. Must have worked on Excel / Google Sheets for at least 1 year. Familiarity with MySQL, SQL, or any query/coding language would be a plus. Excellent attention to detail and proven ability to perform under pressure. A quick learner with a strong analytical mindset who is tech-savvy and enjoys working with data. An open-minded, motivated self-starter with a positive approach to problem-solving. An active listener who can effectively translate instructions into action. Other Infrastructure Requirements: Since this is a completely work-from-home position, you will also require the following - High-speed internet connectivity for video calls and efficient work. Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM) Dedicated workspace (at home) for uninterrupted and efficient work. Headphones with clear audio quality. Stable power connection and backups in case of internet/power failure. Additional Information: While we do have separate teams for AI & ML, this job does not guarantee an organic segue into these roles. This is not an opportunity to develop a career solely in data visualization.
Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Do you love solving problems and enjoy working through challenges? Is multitasking one of your strengths? If so, then join Forage AI as a Data Specialist! Responsibilities: Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy. Develop process improvement ideas that will bring efficiency and structure to workflows. Assist our AI and RPA models by manually parsing data to help derive insights for automation. Interpret and understand client requirements for every project and execute it per the defined rules. Perform annotations to help train our ML models. Direct and monitor the progress and performance of the team. Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset. Respond to client inquiries related to ongoing projects. Research and troubleshoot issues associated with the data and tools provided. Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes. Assist in documentation and continual improvements of SOPs for internal workflows. Prepare tools and reports that measure and evaluate team accuracy and productivity. Assist in planning and allocation of daily work queues. Requirements: Must have a bachelor's degree in any stream. Degrees in commerce, statistics, or finance would be preferred. They must have proficiency in Advanced Excel and SQL Must have at least 2-3 years of work experience. This can include - any role that involved building high-quality datasets, or operations roles that may have involved managing business processes, audits, etc., or some exposure to client management, including gathering requirements to build datasets customized according to our clients needs. Preferred experience as a Data Quality Analyst and working with large data sets. A solid understanding of financial investment markets, private equity, or equity research would be an added advantage. Must have high integrity, a robust data-oriented mindset, excellent Business communication (written and verbal) skills, and a sincere approach to work. Must be able to pay excellent attention to details and have good change management skills. Must be a team player and a quick learner with a solution-oriented nature and a positive attitude. Other Infrastructure Requirements: Since this is a completely work-from-home position, you will also require the following - High-speed internet connectivity for video calls and efficient work. Capable business-grade computer (e.g., modern processor, 8 GB+ of RAM, and no other obstacles to interrupted efficient work). Headphones with clear audio quality. Stable power connection and backups in case of internet/power failure.
Seeking a QA Automation Engineer to test and automate data and AI systems using Selenium,Python,and JavaScript.Ensure quality, accuracy,and performance across web crawling,GenAI,and agentic workflows with strong analytical and problem-solving skills. Required Candidate profile 3+ yrs in QA automation/data testing. Skilled in Selenium,Python,JS, HTML, and DBs. Strong QA, GenAI testing, and communication skills. Detail-oriented, analytical, and adaptable in fast-paced setups.
We are looking for an exceptional SEO & Ads Specialist to join our Marketing team. You will help make Forage AIs brand more prominent and generate more inbound opportunities for our Sales team. Job Description : Design and implement B2B demand generation programs using SEO, AI SEO, and Paid ads to achieve quarterly targets for leads and opportunities. Establish, track, and drive actions to improve engagement, conversions, pipeline progression, and return on effort for demand generation programs. Responsible for key metrics across your programs. Organize reports and dashboards to provide visibility; analyze and report on campaign results and KPIs. Manage all aspects, including researching target audiences, budgeting, content creation, executing tactics, reporting results, and calculating return on investment. Calibrate SEO and paid search campaigns. Curate relevant collateral for campaign success. Participate in creating content when necessary. Incorporate constructive feedback from the Sales team, including on collateral creation. Work with team members to continually evaluate and assess new methods and opportunities to reach key personas. Perform and document post-mortem analyses at the conclusion of each campaign, deriving lessons learned on lead quality and quantity based on activities and messaging. Quarterly, perform a formal audit of all campaigns and their content to ensure that Forage AI continuously improves the content we are using/sharing. Requirements : 6+ years of Saas demand generation experience with SMB, Mid-Market, and Enterprise B2B accounts Strong experience in SEO and paid advertising. Aware of AI SEO and how it works. Should be a problem solver - with or without using AI tools. Self-starter, reliable team player with strong initiative and the ability to thrive in a high-intensity, rapidly changing environment. Ability to juggle multiple cross-functional projects in a fast-paced, deadline-driven environment with strong attention to detail. Data-driven marketing experience. Each program you run has clearly defined success metrics. Strong knowledge of omnichannel demand generation tactics (events marketing (physical and digital), SEO, social media marketing, email marketing) and lead conversion principles, including various testing and user segmentation. Experience running automation campaigns. Fluency in HubSpot or WordPress is preferred. Experience with Google Analytics and Google Tag Manager. Ability to communicate fluently in English. Preferred to have : Prior experience in a start-up, especially in a technology or SaaS start-up. Prior experience at a company using ABM and Demand Generation strategy History of progressively expanded responsibilities as a marketer. You are excited to broaden your knowledge of new marketing methods, such as generative content. Curious to learn, grow, and improve your skills as a marketer. Personal pride in creating high-quality programs. Passionate about the success of your team. Strong interpersonal, multi-tasking, project management, and problem-solving skills. Outstanding verbal and written communication skills, including presentation skills and copywriting. Interest in Artificial Intelligence, Machine Learning, and Data.
About Forage AI: Forage AI is a pioneering AI-powered data extraction and automation company that transforms complex, unstructured web and document data into clean, structured intelligence. Our platform combines web crawling, NLP, LLMs, and agentic AI to deliver highly accurate firmographic and enterprise insights across numerous domains. Trusted by global clients in finance, real estate, and healthcare, Forage AI enables businesses to automate workflows, reduce manual rework, and access high-quality data at scale. About the Role: We are seeking a Data Pipeline Engineer to develop, optimize, and maintain production-grade data pipelines focused on web data extraction and ETL workflows. This is a hands-on role requiring strong experience with Python (as the primary programming language), spaCy, LLMs, webcrawling, and cloud deployment in containerized environments. Youll have opportunities to propose, experiment with, and implement GenAI-driven approaches, innovative automations, and new strategies as part of our product and pipeline evolution. Candidates should have 5-8 years of relevant experience in data engineering, software engineering, or related fields. Key Responsibilities: Design, build, and manage scalable pipelines for ingesting, processing, and storing web and API data. Develop robust web crawlers and scrapers in Python (Scrapy, lxml, Playwright) for structured and unstructured data. Create and monitor ETL workflows for data cleansing, transformation, and loading into PostgreSQL and MongoDB. Apply spaCy for NLP tasks and integrate/fine-tune modern LLMs for analytics. DriveGenAI-based innovation and automation in core data workflows. Develop and deploy secure REST APIs and web services for data access and interoperability. Integrate RabbitMQ,Kafka, SQS(for distributed queueing), and Redis (for caching) into data workflows; also proficient with distributed queue tools such as Celery, TaskIQ. Containerize and deploy solutions using Docker on AWS(EC2, ECS, Lambda). Collaborate with data teams, maintain pipeline documentation, and enforce data quality standards. Maintain and enhance legacy in-house applications as required. Technical Skills & Requirements: Primary programming language is Python; must have experience writing independent Python packages. Experience with multithreading and asynchronous programming in Python. Advanced Python skills, including web crawling (Scrapy, lxml, Playwright) and strong SQL/data handling abilities. Experience with PostgreSQL (SQL) and MongoDB (NoSQL). Proficient with workflow orchestration tools such as Airflow. Hands-on experience with RabbitMQ, Kafka, SQS(for queueing/distributed processing), and Redis (for caching). Practical experience with spaCy for NLP and integration of at least one LLM platform (OpenAI, HuggingFace, etc.). Experience with GenAI/LLMs, prompt engineering, or integrating GenAI features into data products. Proficiency with Docker and AWS services (EC2, ECS, Lambda). Experienced in developing secure, scalable REST APIs using FastAPI and/or Flask. Familiarity with third-party APIs integration, including authentication, data handling, and rate limiting. Proficient in using Git for version control and collaboration. Strong analytical, problem-solving, and documentation skills. Bachelor’s or Master’s degree in Computer Science or related field. What We Offer: High ownership and autonomy in shaping technical solutions and system architecture. Opportunities to learn modern technologies and propose technical initiatives— including GenAI-based approaches. Collaborative, supportive, and growth-oriented engineering culture. Exposure to a broad set of business and technical problems. Structured onboarding and domain training. Work-from-Home Infrastructure. Requirements : Business-grade computer (modern processor i7, i9 , 16 GB+ RAM) with no performance obstacles. Reliable high-speed internet for video calls and remote work. Quality headphones & camera for clear audio and video. Stable power supply and backup options in case of outages.
About Forage AI: Forage AI is a pioneering AI-powered data extraction and automation company that transforms complex, unstructured web and document data into clean, structured intelligence. Our platform combines web crawling, NLP, LLMs, and agentic AI to deliver highly accurate firmographic and enterprise insights across numerous domains. Trusted by global clients in finance, real estate, and healthcare, Forage AI enables businesses to automate workflows, reduce manual rework, and access high-quality data at scale. About the Role: We are seeking a talented and growth-minded Software Engineer who is passionate about building, scaling, and modernizing impactful business systems. In this full-time position, youll work on a mix of new feature development, system enhancements, and platform modernization initiatives—while ensuring the stability and reliability of our core products. You’ll have the chance to experiment with and implement GenAI-driven approaches, innovations, and new strategies as we continue to evolve our solutions. We value engineers who express their best technical talent, contribute innovative ideas to overall product development, and propose creative automation solutions across our engineering efforts. This is an opportunity to propose and lead technical improvements, contribute to architectural evolution, and make your mark on products used by real customers. Structured onboarding and domain training will be provided to set you upfor success. Key Responsibilities: Design and develop new features and enhancements for our core platforms and services. Contribute to the modernization and refactoring of existing systems and codebases. Propose,experiment with, and implement GenAI-based innovations, tools, or workflows to solve business problems and create new value. Drive technical improvements, suggest and lead platform upgrades, and champion engineering best practices. Investigate, debug, and resolve production issues, delivering robust solutions that improve performance and maintainability. Collaborate with product, engineering, and business teams to deliver impactful end-to end solutions. Help maintain the reliability, scalability, and security of our systems as we evolve our platform. Technical Skills & Requirements: Python: Strong hands-on experience with core Python and its standard libraries. Web Framework: Experience developing backend APIs and services using FastAPI/Flask. RabbitMQ: Proficiency in implementing message queues and task distribution. Docker & Docker Compose: Experience containerizing applications and managing services. WebScraping: Demonstrated expertise with web scraping tools and techniques. Playwright & Selenium: Practical experience with browser automation frameworks. PostgreSQL &SQLAlchemy: Proficient in SQL and ORM-based data access. MongoDB & PyMongo: Experience with NoSQL data using PyMongo. Redis: Practical use for caching and lightweight messaging. AWS: Hands-on experience with services such as S3, Secrets Manager, and Auto Scaling Groups(using boto3). Linux/Unix: Comfort with command-line operations and scripting. Git: Proficient in version control and team collaboration. Concurrency: Experience with multithreading and asynchronous programming in Python. API Integrations: Familiarity with integrating third-party APIs, including authentication, data handling, and rate limiting. Good to have: Exposure to GenAI/LLMs (OpenAI, HuggingFace, etc.), prompt engineering, or integrating GenAI-powered features into products. What We Offer: High ownership and autonomy in shaping technical solutions and system architecture. Opportunities to learn modern technologies and propose technical initiatives— including GenAI-based approaches. Collaborative, supportive, and growth-oriented engineering culture. Exposure to a broad set of business and technical problems. Structured onboarding and domain training. Work-from-Home Infrastructure. Requirements : Business-grade computer (modern processor-i7, i9 , 16 GB+ RAM) with no performance obstacles. Reliable high-speed internet for video calls and remote work. Quality headphones & camera for clear audio and video. Stable power supply and backup options incase of outages.
NOTE : Only candidates with experience in handling large financial datasets are preferred Are you an enthusiastic extrovert with a high passion for performance? Do you enjoy working in teams to achieve a common goal together? Are you a detail-oriented person who enjoys going through datasets to identify unique patterns and catch outliers? Is multitasking one of your strengths? If so, then join Forage AI as a Senior Data Operations Specialist! Responsibilities: Develop, QC, audit, and deliver completed and approved datasets meeting predetermined deadlines with a goal of complete accuracy. Work with stakeholders at all levels to identify and address process gaps with process improvement ideas that bring efficiency and structure to workflows. Assist our AI and RPA models by manually parsing data to help derive insights for automation. Interpret and understand client requirements for every project and execute it per the defined rules. Perform annotations to help train our ML models. Direct and monitor progress and performance of the team. Act as a culture carrier and live by all our core values of ownership, commitment, collaboration, agility and innovation, and a growth-oriented mindset. Respond to client inquiries related to ongoing projects. Research and troubleshoot issues associated with data and/or tools provided. Assess project proposals, provide time estimates then document time and accuracy for evaluation purposes. Assist in documentation and continual improvements of SOPs for internal workflows. Prepare tools and reports that measure and evaluate team accuracy and productivity. Assist in planning and allocation of daily work queues. Ensure that complex concepts shared by our stakeholders are accurately documented in a straightforward manner. Manage ETAs and deliverables by coordinating with different teams working remotely. Display excellent change management and risk management skills at an individual level, during the execution of all tasks. Conduct process training sessions for new members of a team or project. Requirements: Must at least have a bachelor's degree or Masters in Finance, Accounting or Commerce. Must have at least 3 - 5 years of work experience. This can include - Any role that involved building high-quality datasets, Operations roles that may have involved managing business processes, audits, etc., Exposure to client management, including, gathering requirements to build datasets that are customized according to the clients needs. Prior experience in Finance Ops, Private equity, Quality assurance/audit or insurance. Must be excellent with oral and written communication. Must have intermediate to advanced excel skills. Must have used SQL while dealing with data. Must be able to pay excellent attention to details and have good change management skills. Must be a team player and a quick learner with a solution-oriented nature and a positive attitude. Availability to work at adaptable and flexible hours. An open-minded, motivated self-starter with a positive approach to problem-solving. An active listener who can effectively translate instructions into action. A quick learner who is tech-savvy and enjoys working with data. Other Infrastructure Requirements: Since this is a completely work-from-home position, you will also require the following - High-speed internet connectivity for video calls and efficient work. Capable business-grade computer (e.g., modern processor, 8GB + of RAM, and no other obstacles to interrupted, efficient work). Headphones with clear audio quality. Stable power connection and backups in case of internet/power failure.