Synexus
At Synexus, we're helping advertisers rethink how they show up in the news ecosystem. After a successful investment round, we are now in the process of launching a new brand and product to the Ad tech market. Today, blunt keyword blocking causes brands to avoid entire news sites - even when the content is high-quality, balanced, and aligned with their values. It's like tossing out a whole basket of fruit just because one apple has a bruise. Our technology changes that. Instead of just scanning keywords, Synexus analyzes how topics are being discussed. This allows advertisers to safely reintroduce premium journalism into their media plans - driving better reach, performance, and efficiency without added risk. At Synexus, you'll be surrounded by people who want to improve everything and support everyone around them. Our team is passionate about our mission, are experts in their fields and are collaborative problem solvers. We model the following behaviors across the organisation: Positivity - We approach challenges with optimism, realism, and a focus on progress. Respect - We create an environment where everyone feels heard, valued, and safe to contribute. Accountability - We take responsibility, keep our commitments, and support each other in delivering results. Outcomes Focus - We prioritise impact over process, keeping customers, employees, and shareholders at the heart of what we do. Synexus is seeking an Intelligence Data Analyst to help our in-house Intelligence Team with the development, delivery, and continual improvement of our intelligence products - tools that help clients navigate risk and brand safety in the online ecosystem. This role combines analytical rigor with product ownership - you'll apply digital forensic skills to monitor and interpret media manipulation and adversarial narratives on the open web, while also shaping the evolution of Synexus's proprietary intelligence products. Key responsibilities Create inventive technical methods to help the Intelligence Team complete its deliverables faster. Develop and document repeatable workflows, playbooks, and QA processes to enhance product consistency and reliability. Identify operational bottlenecks or data quality issues and propose scalable solutions. Support the evaluation of new tools, data sources, and methodologies that can improve the efficiency or depth of Synexus intelligence products. Develop ad-hoc automated intelligence collection solutions and other ad-hoc code to help with intelligence collection issues. Own the full lifecycle of one or more Synexus intelligence products - from definition and development to delivery and iteration. Define and prioritize product goals, requirements, and success metrics aligned with company strategy and client needs. Drive adoption and growth of owned product(s) to maximize client engagement and revenue impact. Act as the voice of the customer - translating feedback, market intelligence, and internal insights into actionable product improvements. Work closely with the Data Team to integrate client feedback, design and test new features, refine machine learning processes, and ensure accuracy and scalability of intelligence outputs. Liaise with Commercial teams to ensure clear communication of product value and delivery timelines to clients. Maintain deep situational awareness of adversarial narratives, disinformation networks, and media manipulation tactics across open web and social platforms. Generate analytical reports, briefings, and insights for internal stakeholders and external clients as needed. Provide ongoing intelligence input to support data model training, product refinement, and content classification systems. Essential skills and experience Strong knowledge of disinformation and other information security challenges. Excellent knowledge of SQL and data normalization skills. Experience in scraping and crawling operations with Python or Javascript using libraries such as Scrapy, Playwright, BeautifulSoup, Selenium, or similar. Solid understanding of the technical challenges and limitations related to scraping, including privacy regulations, bypassing WAFs, the use of proxies and IP rotation, and anti-tracking technologies. Experience with consuming APIs for data extraction and enrichment on third party sources. Knowledge of basic NLP operations for data extraction, such as Named Entity Recognition, Topic Modeling, Sentiment Analysis, and similar, preferably within the Python environment. Professional fluency in English. Desirable skills and experience Experience with writing complex Regexs. Knowledge of marketing standards, tools, and techniques for the web, e.g. programmatic advertising, SEO, Authorized Digital Sellers, website metrics. Knowledge of data intelligence tools for data exploration and presentation such as Looker, Power BI, Tableau. Experience with data labelling and data extraction using LLMs on small to mid text corpora. Deep understanding of media ecosystems, or online influence operations - ideally within an ad tech, analytics, or intelligence context. Ability to connect day to day intelligence work to long term product strategy and business impact. Strong proficiency in performing digital forensic analysis, using open source data, identifying market trends, and integrating customer feedback to inform product direction. Excellent written and verbal communication skills; comfortable translating technical or analytical insights for commercial and executive audiences. Ability to influence cross functional teams without direct authority; proactive ownership mindset. Comfortable navigating ambiguity, shifting priorities, and fast changing online environments. A desire to work as part of a remote/virtual team. Additional language skills. Past experience working as part of a remote/virtual team. £65,000 - £75,000 a year Pay will be benchmarked to the candidate's location but this should provide a guide range Competitive salary and options. Health, dental, and vision benefits (US based team only). Flexible working hours and remote options. Full time, 1.0 FTE (37.5 hours per week). As a global organization, some flexibility for cross time zone communication to be available for limited virtual meetings outside of office hours is required. Professional development opportunities. A place to be your authentic self. We are virtual by design to access a rich diversity of skills, expertise, experiences, and perspectives. Our commitment to neutrality is unwavering - across all of our work around the globe. Our employees are central to our mission and to our impact and we know that having varied perspectives helps generate better ideas to solve the complex challenges. We celebrate diversity and are committed to creating an inclusive environment for all employees.
At Synexus, we're helping advertisers rethink how they show up in the news ecosystem. After a successful investment round, we are now in the process of launching a new brand and product to the Ad tech market. Today, blunt keyword blocking causes brands to avoid entire news sites - even when the content is high-quality, balanced, and aligned with their values. It's like tossing out a whole basket of fruit just because one apple has a bruise. Our technology changes that. Instead of just scanning keywords, Synexus analyzes how topics are being discussed. This allows advertisers to safely reintroduce premium journalism into their media plans - driving better reach, performance, and efficiency without added risk. At Synexus, you'll be surrounded by people who want to improve everything and support everyone around them. Our team is passionate about our mission, are experts in their fields and are collaborative problem solvers. We model the following behaviors across the organisation: Positivity - We approach challenges with optimism, realism, and a focus on progress. Respect - We create an environment where everyone feels heard, valued, and safe to contribute. Accountability - We take responsibility, keep our commitments, and support each other in delivering results. Outcomes Focus - We prioritise impact over process, keeping customers, employees, and shareholders at the heart of what we do. Synexus is seeking an Intelligence Data Analyst to help our in-house Intelligence Team with the development, delivery, and continual improvement of our intelligence products - tools that help clients navigate risk and brand safety in the online ecosystem. This role combines analytical rigor with product ownership - you'll apply digital forensic skills to monitor and interpret media manipulation and adversarial narratives on the open web, while also shaping the evolution of Synexus's proprietary intelligence products. Key responsibilities Create inventive technical methods to help the Intelligence Team complete its deliverables faster. Develop and document repeatable workflows, playbooks, and QA processes to enhance product consistency and reliability. Identify operational bottlenecks or data quality issues and propose scalable solutions. Support the evaluation of new tools, data sources, and methodologies that can improve the efficiency or depth of Synexus intelligence products. Develop ad-hoc automated intelligence collection solutions and other ad-hoc code to help with intelligence collection issues. Own the full lifecycle of one or more Synexus intelligence products - from definition and development to delivery and iteration. Define and prioritize product goals, requirements, and success metrics aligned with company strategy and client needs. Drive adoption and growth of owned product(s) to maximize client engagement and revenue impact. Act as the voice of the customer - translating feedback, market intelligence, and internal insights into actionable product improvements. Work closely with the Data Team to integrate client feedback, design and test new features, refine machine learning processes, and ensure accuracy and scalability of intelligence outputs. Liaise with Commercial teams to ensure clear communication of product value and delivery timelines to clients. Maintain deep situational awareness of adversarial narratives, disinformation networks, and media manipulation tactics across open web and social platforms. Generate analytical reports, briefings, and insights for internal stakeholders and external clients as needed. Provide ongoing intelligence input to support data model training, product refinement, and content classification systems. Essential skills and experience Strong knowledge of disinformation and other information security challenges. Excellent knowledge of SQL and data normalization skills. Experience in scraping and crawling operations with Python or Javascript using libraries such as Scrapy, Playwright, BeautifulSoup, Selenium, or similar. Solid understanding of the technical challenges and limitations related to scraping, including privacy regulations, bypassing WAFs, the use of proxies and IP rotation, and anti-tracking technologies. Experience with consuming APIs for data extraction and enrichment on third party sources. Knowledge of basic NLP operations for data extraction, such as Named Entity Recognition, Topic Modeling, Sentiment Analysis, and similar, preferably within the Python environment. Professional fluency in English. Desirable skills and experience Experience with writing complex Regexs. Knowledge of marketing standards, tools, and techniques for the web, e.g. programmatic advertising, SEO, Authorized Digital Sellers, website metrics. Knowledge of data intelligence tools for data exploration and presentation such as Looker, Power BI, Tableau. Experience with data labelling and data extraction using LLMs on small to mid text corpora. Deep understanding of media ecosystems, or online influence operations - ideally within an ad tech, analytics, or intelligence context. Ability to connect day to day intelligence work to long term product strategy and business impact. Strong proficiency in performing digital forensic analysis, using open source data, identifying market trends, and integrating customer feedback to inform product direction. Excellent written and verbal communication skills; comfortable translating technical or analytical insights for commercial and executive audiences. Ability to influence cross functional teams without direct authority; proactive ownership mindset. Comfortable navigating ambiguity, shifting priorities, and fast changing online environments. A desire to work as part of a remote/virtual team. Additional language skills. Past experience working as part of a remote/virtual team. £65,000 - £75,000 a year Pay will be benchmarked to the candidate's location but this should provide a guide range Competitive salary and options. Health, dental, and vision benefits (US based team only). Flexible working hours and remote options. Full time, 1.0 FTE (37.5 hours per week). As a global organization, some flexibility for cross time zone communication to be available for limited virtual meetings outside of office hours is required. Professional development opportunities. A place to be your authentic self. We are virtual by design to access a rich diversity of skills, expertise, experiences, and perspectives. Our commitment to neutrality is unwavering - across all of our work around the globe. Our employees are central to our mission and to our impact and we know that having varied perspectives helps generate better ideas to solve the complex challenges. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Synexus
Overview At Synexus, we're helping advertisers rethink how they show up in the news ecosystem. After a successful investment round, we are now in the process of launching a new brand and product to the Ad tech market. Today, blunt keyword blocking causes brands to avoid entire news sites-even when the content is high quality, balanced, and aligned with their values. It's like tossing out a whole basket of fruit just because one apple has a bruise. Our technology changes that. Instead of just scanning keywords, Synexus analyzes how topics are being discussed. This allows advertisers to safely reintroduce premium journalism into their media plans-driving better reach, performance, and efficiency without added risk. Core Values Positivity - We approach challenges with optimism, realism, and a focus on progress. Respect - We create an environment where everyone feels heard, valued, and safe to contribute. Accountability - We take responsibility, keep our commitments, and support each other in delivering results. Outcomes Focus - We prioritize impact over process, keeping customers, employees, and shareholders at the heart of what we do. Senior Software Engineer Synexus is seeking applicants for a Senior Software Engineer to join our team. As a Senior Software Engineer on our growing team, you will play a critical role in building and scaling the infrastructure that powers our data pipeline and integrations. This is a hands on position where you'll work closely with engineering, data science, and product teams to deliver high impact solutions that make our systems faster, more reliable, and easier to use. Key Responsibilities Enhance and maintain our open web crawling system, solving edge cases such as paywalled or obfuscated content to ensure reliable and comprehensive data collection. Build and optimize internal tools and infrastructure that empower data scientists and analysts to access and explore large scale data with speed and minimal friction. Support our transition from batch to real time data processing, including the design and implementation of queue based pipelines and event driven architectures. Develop and maintain data integrations with key demand side platform (DSP) partners, ensuring reliable and secure data delivery at scale. Work across the stack as needed, whether improving backend performance, helping with API design, or optimizing data workflows. Develop, improve, and contribute to core engineering practices such as code reviews, testing, observability, and CI/CD to help grow a robust, maintainable codebase. Take on a leading role in the team by mentoring more junior SWEs, shepherding projects from ideation to completion, and constantly improving processes. Essential Experience and Behaviours 7+ years of experience building and maintaining production systems. Successful experience as a senior/lead engineer in teams before with demonstrated mentoring, project management, and technical leadership skills. Excellence in Python, with 5+ years of experience writing clean, maintainable, and well tested code. Deep experience (3+ years) working with AWS services (e.g., EC2, S3, Lambda, CloudWatch, ECS/Fargate), with a focus on building reliable and scalable infrastructure. Excellent understanding of relational databases, particularly PostgreSQL, and experience writing efficient queries and managing schema changes. Deep experience with data pipelines or event driven architectures, including tools like message queues (e.g., SQS, Kafka, or similar). Strong debugging and problem solving skills, with the ability to navigate ambiguity and prioritize effectively. Deep experience with CI/CD pipelines and version control systems, like Git, to ensure smooth development workflows. Excellent communication and collaboration abilities, to work effectively within a small, cross functional team. Desire to work as part of a remote/virtual team. Desirable Experience and Behaviours Experience working as part of a remote/virtual team. Experience building or working with web crawlers, especially at scale or in complex environments (e.g. dynamic or paywalled content). Exposure to data engineering or supporting analytics workflows (e.g., building internal APIs, data tooling, or orchestration systems). Interest in or experience with ad tech ecosystems or API integrations with external partners. Experience using project and task management tools for agile development (e.g. Jira, Asana, etc.). Bachelor's degree in Computer Science, Engineering, or a related field. Successful experience working with team members across countries and time zones. Comfortable working in rapid response and in on call rotations. Compensation US based team only. Gross pay will be benchmarked to the candidate's primary location. Competitive salary ($140,000 - $170,000 a year). What We Offer Competitive salary (see above). Health, dental, and vision benefits (US based team only). Flexible working hours and remote options. Full time, 1.0 FTE (37.5 per week). Being able to work on/overlap heavily with US Central time hours is essential. As a global organization, some flexibility for cross time zone communication to be available for limited virtual meetings outside of office hours is required. Professional development opportunities. A place to be your authentic self. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Overview At Synexus, we're helping advertisers rethink how they show up in the news ecosystem. After a successful investment round, we are now in the process of launching a new brand and product to the Ad tech market. Today, blunt keyword blocking causes brands to avoid entire news sites-even when the content is high quality, balanced, and aligned with their values. It's like tossing out a whole basket of fruit just because one apple has a bruise. Our technology changes that. Instead of just scanning keywords, Synexus analyzes how topics are being discussed. This allows advertisers to safely reintroduce premium journalism into their media plans-driving better reach, performance, and efficiency without added risk. Core Values Positivity - We approach challenges with optimism, realism, and a focus on progress. Respect - We create an environment where everyone feels heard, valued, and safe to contribute. Accountability - We take responsibility, keep our commitments, and support each other in delivering results. Outcomes Focus - We prioritize impact over process, keeping customers, employees, and shareholders at the heart of what we do. Senior Software Engineer Synexus is seeking applicants for a Senior Software Engineer to join our team. As a Senior Software Engineer on our growing team, you will play a critical role in building and scaling the infrastructure that powers our data pipeline and integrations. This is a hands on position where you'll work closely with engineering, data science, and product teams to deliver high impact solutions that make our systems faster, more reliable, and easier to use. Key Responsibilities Enhance and maintain our open web crawling system, solving edge cases such as paywalled or obfuscated content to ensure reliable and comprehensive data collection. Build and optimize internal tools and infrastructure that empower data scientists and analysts to access and explore large scale data with speed and minimal friction. Support our transition from batch to real time data processing, including the design and implementation of queue based pipelines and event driven architectures. Develop and maintain data integrations with key demand side platform (DSP) partners, ensuring reliable and secure data delivery at scale. Work across the stack as needed, whether improving backend performance, helping with API design, or optimizing data workflows. Develop, improve, and contribute to core engineering practices such as code reviews, testing, observability, and CI/CD to help grow a robust, maintainable codebase. Take on a leading role in the team by mentoring more junior SWEs, shepherding projects from ideation to completion, and constantly improving processes. Essential Experience and Behaviours 7+ years of experience building and maintaining production systems. Successful experience as a senior/lead engineer in teams before with demonstrated mentoring, project management, and technical leadership skills. Excellence in Python, with 5+ years of experience writing clean, maintainable, and well tested code. Deep experience (3+ years) working with AWS services (e.g., EC2, S3, Lambda, CloudWatch, ECS/Fargate), with a focus on building reliable and scalable infrastructure. Excellent understanding of relational databases, particularly PostgreSQL, and experience writing efficient queries and managing schema changes. Deep experience with data pipelines or event driven architectures, including tools like message queues (e.g., SQS, Kafka, or similar). Strong debugging and problem solving skills, with the ability to navigate ambiguity and prioritize effectively. Deep experience with CI/CD pipelines and version control systems, like Git, to ensure smooth development workflows. Excellent communication and collaboration abilities, to work effectively within a small, cross functional team. Desire to work as part of a remote/virtual team. Desirable Experience and Behaviours Experience working as part of a remote/virtual team. Experience building or working with web crawlers, especially at scale or in complex environments (e.g. dynamic or paywalled content). Exposure to data engineering or supporting analytics workflows (e.g., building internal APIs, data tooling, or orchestration systems). Interest in or experience with ad tech ecosystems or API integrations with external partners. Experience using project and task management tools for agile development (e.g. Jira, Asana, etc.). Bachelor's degree in Computer Science, Engineering, or a related field. Successful experience working with team members across countries and time zones. Comfortable working in rapid response and in on call rotations. Compensation US based team only. Gross pay will be benchmarked to the candidate's primary location. Competitive salary ($140,000 - $170,000 a year). What We Offer Competitive salary (see above). Health, dental, and vision benefits (US based team only). Flexible working hours and remote options. Full time, 1.0 FTE (37.5 per week). Being able to work on/overlap heavily with US Central time hours is essential. As a global organization, some flexibility for cross time zone communication to be available for limited virtual meetings outside of office hours is required. Professional development opportunities. A place to be your authentic self. We celebrate diversity and are committed to creating an inclusive environment for all employees.