Nisos

• Review, code, and enter vendor invoices accurately and promptly • Communicate with vendors to collect W9 and confirm banking details • Reconcile vendor statements and resolve discrepancies • Prepare 1099 documentation at year end • Reconcile bank and credit card accounts on a regular (weekly/monthly) basis • Identify and investigate variances or unusual transactions • Support month end close • Post monthly journal entries and reconcile balance sheet accounts • Prepare month end balance sheet account schedules • Process semi-monthly payroll using existing payroll software • Ensure accurate calculation of hours, deductions, withholdings, stipends, commissions, and bonuses • Coordinate with third-party payroll providers as applicable. • Assist with payroll tax filings and year-end tasks (W-2s)

Who Is Nisos? Nisos is the human risk management company specializing in unmasking threats before they escalate. We are a trusted advisor who operates as an extension of security, intelligence, legal, and human resource teams to protect their people and business. Our intelligence-led solutions help enterprises make critical decisions, manage human risk, and drive real world consequences for digital threats. For more information, visit: https://www.nisos.com. What Is The Opportunity? Join an AI/ML team designing and shipping production ML systems that combine Large Language Models (LLMs), retrieval-augmented generation (RAG), and modern agent frameworks for multi-step decision making. You will help turn massive, noisy data into actionable intelligence for analysts and customers. What Are The Responsibilities? - Integrate and fine-tune LLMs for natural-language understanding, reasoning, and multi-step tool orchestration. - Build agentic workflows (e.g. using LangGraph) to coordinate complex tasks across data sources and services. - Architect and implement AI/ML features for pattern recognition, entity extraction, and automated intelligence gathering at scale. - Develop scalable data pipelines and streaming architectures that process billions of heterogeneous data points. - Create and optimize vector databases and retrieval systems for semantic search and RAG. - Deliver production-ready APIs and microservices supporting real-time analysis and model inference. - Own model deployment and monitoring using modern ML/LLMOps practices; drive continuous improvement in accuracy, latency, and cost. - Evaluate LLM systems with offline metrics, golden test sets, prompt A/B tests, latency & cost optimisation. - Collaborate with analysts and product teams to translate intelligence needs into robust ML solutions. Who You Are - Expert proficiency in Python, with experience of at least one of deep learning frameworks, PyTorch and TensorFlow - Hands-on with LangChain, LangGraph, AutoGen or similar agent LLM frameworks - Deep experience with prompt engineering, foundation model API integration and LLM finetuning - Expertise in RAG systems with vector databases (Pinecone, Weaviate) and embedding technologies - Strong experience with LLMOps practices for observability and traceability and LLM evaluation. - Deep understanding of distributed systems, microservices, and real-time streaming architectures - Strong containerization and infrastructure skills (Docker, ECS, Terraform, CloudFormation) - Experience building production AI systems with strong safety, privacy, and ethical practices - Familiarity with computer vision and NLP techniques for OSINT - Understanding of adversarial AI and security implications Required Education and Experience - Degree in Computer Science, AI/ML, or equivalent experience - Substantive experience in building AI/ML products at scale with proven experience in LLMs, RAGs or Agentic AI solutions - Proven experience shipping production AI systems at scale - Track record of building systems that process and analyze large-scale unstructured data - Experience in security, intelligence, or OSINT platforms preferred Where will you work? - Hybrid office schedule: employees balance working remotely and working at our office in Belfast City Centre. - Flexible schedule: employees generally work normal business hours. We routinely meet in the afternoon with US-based colleagues, but we rarely schedule meetings earlier than 8 am or past 6 pm local time. What equipment will you use? The position requires use of Macbooks and MacOS. We ensure you can work well from home by providing Macbook Pros, monitors, peripherals, and noise-canceling headphones.

Standard working time is 9am-5pm Central Standard Time. Who Is Nisos? Nisos is the human risk management company specializing in unmasking threats before they escalate. We are a trusted advisor who operates as an extension of security, intelligence, legal, and human resource teams to protect their people and business. Our intelligence-led solutions help enterprises make critical decisions, manage human risk, and drive real world consequences for digital threats. For more information, visit: https://www.nisos.com. Working at Nisos We are a distributed, remote-working team , operating in both the U.S. and Northern Ireland. We believe in supporting and unlocking the potential of our team through training, professional development, and advancement opportunities. We cultivate a truly people-first, trusted partner culture of integrity, innovation, inclusion, responsibility, and collaboration. What Is The Opportunity? As an Enterprise Account Executive at Nisos, you will be responsible for acquiring new clients for our managed intelligence offerings. What You’ll Do - Develop and manage a named account territory selling managed intelligence services into the security, intelligence, and trust & safety teams at large enterprises - Work closely with prospects to navigate complex sales cycles, directly and indirectly adding value for the variety of stakeholders required to close deals - Proactively collaborate within the Nisos sales team and with sales teams at industry partners to identify opportunities to act as and draw upon force multipliers - Develop and execute strong strategic sales plans to capture market share and drive new logo acquisition - Contribute to Nisos sales, marketing, product, and engineering strategy, serving as the voice of the market for your territory - Use a consultative selling approach to capture strong qualification on requirements to align the right solution to drive the most value for our clients Who You Are - You are an experienced prospector and closer who looks forward to putting new opportunities into the pipeline and hitting “closed -won” in Salesforce - You have consistently been a top performer on your teams - You have an appreciation for complex sales cycles and like using data and testing processes to improve efficiency - Ideally, you have direct experience selling to corporate security, specifically threat intelligence buyers - You are an enthusiastic team player interested in tangibly contributing across the company to help us grow - Experience in government/commercial intelligence or consulting is a plus Minimum qualifications: - Bachelor's degree or equivalent practical experience - Experience in selling in the threat intelligence market and/or in the professional services market Preferred qualifications: - Experience working towards strategic business goals - Ability to plan, pitch, and implement a territory business strategy - Excellent problem-solving and strategic thinking skills - Excellent written and verbal communication and presentation skills

• Provide ongoing support for AWS-based technology platform • Build and maintain working knowledge of AWS services • Coordinate with Client Success teams to troubleshoot technical issues • Collaborate with Product Management and Engineering teams to resolve product-level problems • Write and maintain technical playbooks and documentation • Prepare detailed incident reports and post-mortems • Provide on-call support with defined response time commitments • Scale availability during release schedule spikes