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Role Description We are seeking an experienced and detail-oriented Sales Administrator to support a high-performing sales organization. This role is ideal for a proactive professional with a strong operational mindset who thrives behind the scenes — keeping systems clean, processes running smoothly, and the sales team focused on closing. Experience in the education sector is a strong advantage. Key Responsibilities - Manage and maintain the CRM (HubSpot), ensuring data accuracy, pipeline hygiene, and up-to-date records - Support the sales team with administrative tasks including contract preparation, proposals, and sales documentation - Track and report on key sales metrics, pipeline activity, and performance dashboards - Coordinate scheduling, follow-ups, and communications between the sales team and prospects or clients - Assist in onboarding new clients and ensuring a smooth handoff from sales to delivery or account management - Manage inbound inquiries and route them appropriately within the sales team - Maintain and organize sales collateral, templates, and shared resources - Identify and flag process inefficiencies and support continuous improvement initiatives - Liaise with marketing, operations, and finance teams to support the full sales cycle Qualifications - 3+ years of experience in a Sales Administrator or Sales Manager role - Hands-on experience with HubSpot CRM — managing pipelines, workflows, reporting, and data integrity - Prior remote work experience with strong fluency in remote collaboration tools (Slack, Zoom, Google Workspace, or similar); candidates without prior remote experience will not be considered - Experience working with US or UK-based companies or customers - Excellent organizational skills with strong attention to detail and the ability to manage multiple priorities - Strong written and verbal communication skills - Comfortable working independently in a fast-paced, distributed environment Preferred Qualifications - Background in or exposure to the education sector (EdTech, training, e-learning, or academic services) - Experience supporting or managing a sales team in a senior or lead capacity - Familiarity with sales enablement tools, proposal software, or document management platforms - Exposure to CRM administration, workflow automation, or sales operations functions Tools & Technology - HubSpot CRM (required) - Google Workspace or Microsoft 365 - Slack, Zoom, and task management tools (Asana, Monday.com, or similar) - VoIP and communication platforms - Document and proposal tools Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps — the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

Role Description We’re hiring an experienced Amazon FBA Manager to take full ownership of an existing Amazon store and drive its relaunch and growth. This is a hands-on, commercially focused role responsible for product selection, sourcing, listing optimization, inventory planning, and overall store performance. You’ll operate as the primary owner of the Amazon channel—setting strategy, executing launches, and scaling revenue with strong margins. Key Responsibilities - Own Amazon store growth strategy, including product selection and launch roadmap - Research and source profitable products; negotiate with suppliers and manage landed costs - Create and optimize listings (keywords, positioning, images, A+ content guidance) - Manage FBA operations, inventory forecasting, and replenishment planning - Monitor and improve performance metrics (sales, contribution margin, pricing, inventory health) - Coordinate with freelancers or partners for creatives, ads, and operational support - Build scalable processes to support long-term growth Qualifications - 5+ years of hands-on Amazon FBA experience with direct ownership of products and P&L - Proven track record of launching and scaling physical products on Amazon - Strong supplier sourcing and negotiation experience (domestic or overseas) - Solid understanding of Amazon listing optimization, SEO, and conversion strategy - Experience managing FBA inventory planning and fulfillment operations - Ability to operate independently with high accountability and minimal oversight - Prior remote work experience; fluent with remote collaboration tools (Slack, Zoom, Google Workspace, Asana, or similar); and experience working with US or UK-based companies. Applications without this will not be considered. Preferred Qualifications - Experience in Home & Garden, Tools, Electronics, or similar physical product categories - Experience relaunching or revitalizing underperforming Amazon stores - Familiarity with Amazon Ads (PPC) management or performance oversight - Prior experience mentoring junior team members or contractors Tools & Technology - Amazon Seller Central (FBA/FBM) - Product research tools (Helium 10, Jungle Scout, Keepa, or similar) - Basic financial modeling (COGS, landed cost, contribution margin, inventory turns) - Google Workspace, Slack, Zoom, Asana or similar collaboration tools Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

Role Description We are hiring a Product-Focused Full Stack Developer to help build SaaS solutions for the logistics and trucking industry. This role is ideal for engineers who prioritize product understanding, customer workflows, and AI-assisted development practices. Key Responsibilities - Develop and maintain SaaS applications using Node.js and JavaScript - Use AI-assisted coding tools such as Claude to accelerate development - Work closely with Product and Operations teams on feature delivery - Build scalable front-end and back-end solutions - Support debugging, testing, and platform optimization - Collaborate effectively within a remote team environment Qualifications - Strong full-stack development experience with Node.js and JavaScript - Mandatory experience in logistics or trucking software - SaaS product development experience required - Hands-on experience with AI-assisted coding workflows - Strong product and customer-focused mindset - Ability to overlap 4–5 hours daily with US PST - Previous remote work experience required Preferred Qualifications - Experience with APIs and scalable systems - Strong communication skills Tools & Technology - Backend: Node.js - Frontend: JavaScript - AI Tools: Claude or similar - Collaboration: Slack, Zoom, Google Workspace Benefits We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Role Description We are looking for a motivated Senior Outbound Sales Representative to join our fast-paced, high-velocity sales environment. In this role, you will own pipeline generation through a combination of strategic outbound prospecting and inbound lead qualification across B2B and B2C markets. If you thrive in a target-driven, activity-focused setting and have hands-on experience in outbound sales and prospect engagement, we want to hear from you. - Execute high-volume outbound prospecting via cold calling, email, and social channels to build and maintain a qualified pipeline. - Respond to and qualify inbound leads sourced from marketing initiatives, ensuring timely and accurate follow-up. - Lead discovery conversations with prospects to uncover needs, identify fit, and move opportunities forward in the sales cycle. - Schedule and hand off qualified meetings and product demos to the closing sales team. - Maintain accurate and up-to-date records of all activities, leads, and outcomes within the CRM. - Operate within established sales processes, cadences, and messaging frameworks while bringing creative prospecting ideas to the table. - Support and guide junior team members by sharing outreach strategies and pipeline development best practices. - Consistently meet and exceed weekly and monthly activity targets and opportunity creation goals. Qualifications - Experience in B2B and/or B2C outbound sales, prospecting, or lead generation is mandatory. - Demonstrated ability to manage and convert high volumes of outbound and inbound activity efficiently and consistently. - Prior experience working remotely, with fluency in remote collaboration tools such as Slack, Zoom, Google Workspace, Asana, or similar; candidates without prior remote work experience will not be considered. - Proven ability to execute outbound cold calling and multi-channel written prospecting at volume. - Hands-on experience with CRM platforms such as Salesforce, HubSpot, or equivalent. - Strong written and verbal communication skills with a pipeline-first, results-driven mindset. Nice to Have - Experience with inbound lead qualification or structured appointment setting workflows. - Familiarity with sales engagement and sequencing tools such as Outreach, Salesloft, Apollo, or similar. - Exposure to multi-channel outreach strategies and iterative messaging testing. - Experience in a senior, lead, or peer-mentorship capacity within an outbound sales function. Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps — the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

Role Description We are seeking a client-focused Client Relations Manager to support organizations using an AI-powered platform that helps brands and organizations detect emerging online narratives and coordinated inauthentic activity before they escalate. This role is ideal for someone with a background in PR, communications, or media reporting who is looking to transition into a tech-enabled client relations function. The ideal candidate is consultative, detail-oriented, and comfortable acting as a trusted advisor to communications and brand-facing teams. Key Responsibilities - Onboard new clients and guide them through platform setup, dashboards, and alerting tools - Help clients interpret narrative and social listening data to inform their communications strategy - Build and deliver client-facing reports summarizing platform insights and emerging trends - Serve as the primary point of contact for client questions, training, and ongoing support - Manage renewals and identify opportunities to expand client engagement with the platform - Relay client feedback internally to support product improvements - Collaborate with internal teams to ensure a smooth, high-touch client experience Qualifications - Background in public relations, communications, media relations, or a related agency environment (non-negotiable) - Experience producing or presenting client-facing reports, media coverage summaries, or performance insights - Strong written and verbal communication skills with a polished, client-facing style - Must be a U.S. citizen or authorized to work in the U.S. without employer sponsorship (required due to compliance with government contract eligibility) Preferred Qualifications - Prior exposure to social listening, media monitoring, or reporting tools (e.g., Meltwater, Brandwatch, Sprout Social, Cision, Talkwalker) - Experience working with corporate, brand, or enterprise-level clients - Background at a PR or communications agency supporting external clients Tools & Technology - Client-facing analytics/dashboard platform - Google Workspace - Slack, Zoom, and other remote collaboration tools Benefits - We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Role Description We are seeking an Enterprise Business Development Representative to focus on large, complex, and strategic accounts across B2B and B2C markets. This role supports enterprise sales motions by developing account-based strategies, engaging senior decision-makers, and generating highly qualified opportunities within long and consultative sales cycles. Key Responsibilities - Develop and execute account-based prospecting strategies for enterprise-level organizations - Research and map complex buying committees and stakeholder groups - Engage Director-, VP-, and C-level executives through highly personalized outreach - Conduct in-depth discovery to qualify strategic business initiatives and use cases - Partner closely with Enterprise Account Executives on account planning and deal strategy - Generate high-quality meetings aligned with enterprise qualification standards - Maintain detailed account notes, opportunity context, and CRM hygiene Qualifications - Experience prospecting or selling into enterprise-level B2B and B2C organizations - Prior experience working remotely, with fluency in remote collaboration tools such as Slack, Zoom, Google Workspace, Asana, or similar; candidates without prior remote work experience will not be considered - Experience working with US or UK-based companies - Strong executive presence and business-level communication skills - Demonstrated ability to support complex, multi-stakeholder sales cycles - Advanced CRM usage and disciplined pipeline management Preferred Qualifications - Experience supporting enterprise or strategic Account Executives - Background in SaaS, technology platforms, or enterprise services - Familiarity with account-based marketing (ABM) or enterprise sales frameworks Tools & Technology - CRM platforms (Salesforce, HubSpot, or similar) - Enterprise sales engagement and ABM tools - LinkedIn Sales Navigator - Slack, Zoom, Google Workspace Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps — the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Role Description We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. Key Responsibilities - Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data - Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data - Build and optimize web scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way - Collaborate cross-functionally to translate product requirements into scalable technical solutions - Write clean, maintainable, well-tested code across the stack - Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers Qualifications - Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin) - Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark) - Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript - Front-end development experience with React, Next.js, and TypeScript - Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure - Comfortable working in a high-growth, early-stage engineering environment with evolving priorities - Must be authorized to work in the United States without sponsorship Preferred Qualifications - Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations - Experience with social listening, social media data, or large-scale web data platforms - Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow - Prior experience at a seed-to-Series B startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology - Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar) - Streaming/data pipeline tools (Kafka, Spark, Flink, or similar) - React, Next.js, TypeScript - Python, Go, or Node.js - Cloud infrastructure (AWS/GCP), Docker, Kubernetes

Role Description We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. Key Responsibilities: - Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data - Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data - Build and optimize web scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way - Collaborate cross-functionally to translate product requirements into scalable technical solutions - Write clean, maintainable, well-tested code across the stack - Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers Qualifications - Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin) - Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark) - Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript - Front-end development experience with React, Next.js, and TypeScript - Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure - Comfortable working in a high-growth, early-stage engineering environment with evolving priorities - Must be authorized to work in the United States without sponsorship Preferred Qualifications - Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations - Experience with social listening, social media data, or large-scale web data platforms - Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow - Prior experience at a seed-to-Series B startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology - Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar) - Streaming/data pipeline tools (Kafka, Spark, Flink, or similar) - React, Next.js, TypeScript - Python, Go, or Node.js - Cloud infrastructure (AWS/GCP), Docker, Kubernetes

Role Description We are hiring a driven and experienced Recruiting Team Lead to manage a team of recruiters and ensure smooth, high-quality recruitment operations across the business. This is a full-time role for a proven agency professional who is equally comfortable leading people as they are getting into the operational detail. The ideal candidate is hands-on, organized, and brings the structure and accountability needed to keep a recruiting team performing consistently. Key Responsibilities: - Lead a team of recruiters with direct oversight of daily activity, performance, and output - Manage end-to-end recruitment workflows, ensuring pipelines are active, accurate, and progressing efficiently - Own ATS management for the team, including pipeline hygiene, reporting, and system best practices - Monitor team performance against targets and provide regular coaching and feedback - Act as the main escalation point for operational or process issues within the team - Support client account management where needed, maintaining strong service standards and communication - Collaborate closely with senior leadership on capacity planning, hiring priorities, and operational improvements - Contribute to the development and refinement of internal processes and team documentation Qualifications - Must come from a staffing agency background — this is non-negotiable and applications without this experience will not be considered - Experience in a team lead, senior recruiter, or managerial role with demonstrated people oversight responsibilities - Working knowledge of ATS platforms, with confidence managing pipelines and reporting functions - Strong written and spoken English, with clear and professional communication across all levels - Ability to balance hands-on recruiting tasks with team management responsibilities in a fast-paced environment - Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered. Preferred Qualifications - Experience supporting or owning client accounts within a staffing or RPO environment - Exposure to recruitment analytics, performance dashboards, or reporting tools - Experience mentoring junior recruiters or contributing to team training and onboarding Tools & Technology - ATS platform (experience with any major system) - Google Workspace - Slack, Zoom, and other remote collaboration tools - Project management tools (Asana or similar) Please NOTE: It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.

Role Description We are looking for a skilled Machine Learning Engineer with a strong data engineering foundation to build, train, and deploy ML models and data pipelines across a range of complex environments. This role sits at the intersection of data and AI — you will be responsible for everything from sourcing, cleaning, and structuring data to training models, evaluating performance, and getting solutions into production. The ideal candidate thinks rigorously about data quality, understands the full ML lifecycle, and is equally comfortable working with large datasets as they are fine-tuning models or building scalable inference pipelines. Key Responsibilities - Design, build, and maintain robust data pipelines for ingestion, transformation, and feature engineering - Develop, train, evaluate, and iterate on machine learning models across classification, regression, clustering, and NLP tasks - Fine-tune and adapt pre-trained LLMs and foundation models for specific use cases and datasets - Build and manage MLOps infrastructure including model versioning, experiment tracking, and deployment pipelines - Work with structured and unstructured data at scale — including text, tabular, and time-series data - Monitor model performance in production and implement retraining and drift-detection strategies - Collaborate with engineering and product teams to translate data insights into actionable AI features - Document data schemas, model architectures, and pipeline logic clearly and thoroughly Qualifications - Strong Python skills with hands-on experience in core ML libraries (scikit-learn, PyTorch, TensorFlow, or similar) - Solid data engineering experience — SQL, ETL pipelines, and working with large-scale datasets - Practical experience with model training, evaluation, hyperparameter tuning, and deployment - Familiarity with LLMs and transformer-based architectures; experience with fine-tuning or prompt engineering in production contexts - Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, DVC, or similar) - Strong grasp of statistical concepts, data quality principles, and model performance metrics - Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered. Preferred Qualifications - Experience with distributed data processing frameworks (Spark, Dask, or similar) - Familiarity with vector databases and embedding-based retrieval systems - Background working with real-time or streaming data pipelines (Kafka, Flink, or similar) - Exposure to cloud-native ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML) - Experience with data governance, lineage tracking, or compliance-aware data workflows Tools & Technology - Python, SQL, and core ML/data libraries (PyTorch, scikit-learn, Pandas, NumPy) - MLOps: MLflow, Weights & Biases, DVC, or equivalent - Data warehouses and lakes: Snowflake, BigQuery, Redshift, or similar - LLM platforms: Hugging Face, OpenAI, Anthropic, or similar - Cloud infrastructure: AWS, GCP, or Azure - Google Workspace, Slack, Zoom, and remote collaboration tools Please note: It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps — the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.