• Analyze marketing performance data to identify trends, performance drivers, and optimization opportunities. • Evaluate customer acquisition, engagement, and conversion metrics to support marketing decision-making. • Design and implement scalable lead ingestion solutions using AI-driven data parsing, validation, enrichment, and automation techniques. • Translate complex data into clear insights and recommendations for stakeholders. • Support ad-hoc analysis and proactively identify opportunities for deeper insights. • Write efficient SQL queries to extract, transform, and analyze marketing and enterprise data. • Use Python for data preparation, automation, and analysis. • Assist with building and maintaining curated datasets, data models, and data quality checks. • Utilize AI-assisted development tools, including Claude Code, to build interfaces, agents, and workflow automations. • Develop and maintain dashboards and marketing performance reports using BI tools. • Automate recurring reporting processes to improve efficiency and scalability. • Partner with marketing, analytics, data science and data engineering teams to support reporting and data needs. • Document data definitions, logic, and reporting methodologies.

Role Description We're looking for a PR Specialist who can help bring ideas to the world through earned media, podcasts, thought leadership, speaking opportunities, and strategic public visibility. This role is about earning credibility through compelling stories, timely angles, strong relationships, high-quality outreach, and strategic positioning. - Secure earned media placements across various platforms. - Pitch approved leaders, products, services, ideas, and insights into relevant media narratives. - Identify timely, newsworthy angles aligned with public-interest trends. - Build and maintain relationships with journalists, editors, producers, and media gatekeepers. - Write media pitches, press angles, and follow-up communications. - Manage media follow-up, scheduling, briefing, and placement logistics. - Identify and secure high-quality podcast interviews. - Research global conferences and speaking opportunities. - Identify relevant influencers and thought leaders for partnerships. - Help strengthen the public profiles of approved leaders. - Use AI to improve research, outreach, and reporting. Qualifications - 5+ years of experience in Public Relations, Communications, or related fields. - Proven track record securing earned media placements. - Strong media pitching ability across various platforms. - Experience writing strong pitches and communications. - Strong written and verbal English communication skills. - Excellent organization and follow-through. - Ability to manage multiple outreach streams simultaneously. - Strong research capability. - Confidence communicating with senior leaders. - Ability to work independently in a remote environment. - Strong attention to detail. Requirements - Experience using AI for media research, outreach, and reporting. - Experience using ChatGPT and modern AI productivity tools. Benefits - Monthly Base Compensation: USD $1,000–$1,500 per month. - Performance incentives of up to USD $500 per month based on verified outcomes. - Flexible remote work environment. - Opportunities for professional growth within the organization.

Role Description The analytical engine of the commercial team. The role owns the market, competitive, and business intelligence that informs strategy, pricing, and product decisions, together with the CRM and commercial data the function runs on. It turns data into clear insight and reliable reporting, and operates the commercial intelligence AI agents day to day under the director's governance. The role is analytical rather than creative — brand, content, and collateral sit elsewhere in the team — so the focus is depth in data, analysis, and decision support. Scope of ownership - Market, competitive, and demand intelligence and the reporting built on it. - CRM data integrity, pipeline hygiene, and standard commercial reporting. - Commercial and customer analysis — segmentation, win/loss, profitability, and quote analytics. - Day-to-day operation of the market-signal and account-intelligence agent, plus analytical support to the pricing and tender agents. - Data quality across the commercial systems. Key responsibilities - Market & competitive intelligence - Maintain the market, competitive, and demand intelligence that informs commercial strategy, pricing, and product decisions. - Provide market sizing, competitive positioning, and account intelligence to support major tender development. - Track competitor activity, pricing signals, and market shifts, and translate them into concise briefs the team can act on. - Business intelligence & reporting - Build and maintain dashboards and standard reporting that give the wider Strategic Marketing & Technology organization a clear, current picture. - Own win/loss reporting and surface the patterns behind wins and losses. - Deliver ad hoc analysis to support commercial and leadership decisions. - CRM & commercial data management - Own CRM data integrity, pipeline hygiene, and adoption support across the commercial team. - Manage lead and opportunity data — capture, routing, and tracking — so the pipeline is accurate and reportable. - Maintain the commercial data foundation that feeds both reporting and the AI agents. - Commercial & customer analysis - Analyze customer segments, buying behavior, and account profitability to inform targeting and prioritization. - Support pricing with quote, win-rate, discount, and cost-to-serve analysis. - Provide the analytical backbone for pipeline reviews, forecasting inputs, and sales-effectiveness measurement. - Commercial strategy & sales effectiveness support - Support go-to-market planning with target-account analysis and prioritization. - Translate performance and market data into recommendations that improve win rate and quote-cycle speed. - Partner with the director on the commercial planning rhythm — pipeline review and win/loss analysis. - AI tools operation & data quality - Operate the market-signal and account-intelligence agent day to day, reviewing outputs for accuracy before they reach the team. - Supply clean, current data and inputs to the pricing-intelligence and tender-drafting agents. - Act as a front-line guardian of data quality, recognizing that the agents are only as trustworthy as the data behind them. Qualifications - 2 – 3 years of experience. Location The role will be based remotely in Egypt, with the employee reporting directly to the USA team.

Title: Senior Open-Source Intelligence Analyst- 3626941 Location: Rosslyn, Virginia, United States Job Description: Salary/Payrate: $130K-$140K annually W2 and AWESOME benefits!!! Work Environment: Hybrid (#1 of days WFH) Term: Contract 12+ month with possible opportunity of conversion Bachelor’s degree required: Yes Referral Fee: AMS will pay $500 should the person you refer gets hired Job Description: Our federal client is looking to hire a Senior Open-Source Intelligence Analyst at their offices in Rosslyn, VA 22209. This is a long-term (12 months, renewable) contract paying an annual salary of $130K to $140K (dependent on experience) on a W2 basis with full benefits and PTO. ***Due to the required clearance with our government client, only US Citizens, Green Card and Green Card EAD holders may be considered. Clearance requires that the candidates have resided in the US for the past five years. The selected candidate cannot have left the country for longer than 90 consecutive days and no more than 180 cumulative days*** Position Description Intelligence & Analytics - Identify, track, and monitor emerging fraud typologies across financial and operational channels using fraud and intelligence gathering expertise. - Conduct analysis of open sources to identify fraudulent communication channels and techniques, including, but not limited to forums, social media, dark/deep web, news media, public records, and geospatial data. - Build and maintain fraud indicators, risk scores, and watchlists using internal data and external intelligence sources. - Develop analytical queries, dashboards, and automated alerts to uncover anomalous patterns such as counterfeit documentation, suspicious claims activity, identity misuse, or operational irregularities. - Leverage open-source data and information to conduct link analysis to uncover fraud networks and schemes. Cross-Functional Collaborations - Produce high-quality intelligence products including threat assessments, trend analyses, profiles, timelines, and geo-based heat maps. - Partner with internal stakeholders to share intelligence, escalate issues, and support audit and investigative efforts. - Identify issues and trends based on severity, potential impact, and risk, ensuring proper documentation and evidentiary standards. Risk & Controls - Recommend and evaluate preventive, detective, and mitigative controls. - Monitor changes in policy, regulations, technology, and criminal trends to anticipate shifts in fraud risk. Reporting & Communication - Deliver timely, actionable reporting to leadership on trends, exposures, root causes, and mitigation opportunities. - Translate analytical findings into clear recommendations for non-technical stakeholders. - Prepare materials for audit, compliance, or law enforcement requests as needed. Position Requirements Primary Requirements - Proven ability to conduct open-source intelligence (OSINT) analysis to identify, track, and monitor emerging fraud typologies across financial and operational channels. - Experience building and maintaining fraud indicators, risk scores, and watchlists using internal data and external intelligence sources. - Proficiency developing analytical queries, dashboards, and automated alerts to uncover anomalous patterns (e.g., counterfeit documentation, suspicious claims activity, identity misuse, operational irregularities). - Ability to leverage open-source data to conduct link analysis and identify fraud networks and scheme interdependencies. - Ability to produce high-quality intelligence products (threat assessments, trend analyses, profiles, timelines, geo-based heat maps) with clear analytical rigor and defensible findings. - Track record partnering with internal stakeholders (audit, investigations, and data personnel) to share intelligence, escalate issues, and support audit/investigative efforts. - Demonstrated capability to deliver timely, actionable reporting to leadership, translating analytical findings into clear recommendations for non-technical stakeholders. Desired Knowledge, Skills, and Abilities (KSAs) - Robust knowledge of fraud schemes and typologies, regulatory frameworks, and fraud-detection methodologies. - Strong analytical skills and experience using key tools, such as Microsoft PowerBI, and other link and visualization tools. - Working knowledge of SQL and Python/R for data preparation, feature engineering, and anomaly detection. - Ability to translate operational observations into data insights. - Clear written and verbal communication tailored to non-technical audiences. - Excellent planning, organizational, and time management skills. Experience - Bachelor’s degree and at least 10 years of professional experience (preferred) as an open-source intelligence analyst and other related fields. - Professional certification (preferred), such as CFE, CIA, CISA, or similar.