What's the opportunity? As a Mid-Market Account Manager you will be a key member of the team leading the growth & retention of our existing business in Continental Europe. We’re building a world-class sales organization, and the road ahead is going to be very exciting. At Intercom, we are striving to do sales differently. We are asking our customers to put Intercom at the core of their businesses, and we can only do this by putting them at the core of ours. We strongly believe in the overall growth and continued development of each new hire. In joining the Relationship Management team at Intercom, you join a community that believes in development and promotion from within. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership. What will I be doing? Managing the book of existing business to build relationships with Intercom’s Mid Market customers ensuring revenue growth and customer retention. Working with current customers to understand their business pains, and providing solutions based on our platform to alleviate them. Developing strategic territory plans outlining opportunities for proactive upsell, cross-sell, expansion to new business units, and achieving business goals. Developing advanced knowledge of your customers' businesses and goals while accurately forecasting sales pipeline. Collaborating with Customer Success, Solution Engineering, Field Marketing, Product, and providing customer feedback to drive product innovation. Tracking and reporting all key metrics related to customer growth, retention, and Intercom product usage growth. Engaging in team development and mentoring. What skills do I need? 5+ years experience in a closing B2B sales role; Mid-Market/Enterprise experience is an advantage. 3+ years of SaaS selling experience; similar products, CS, CX, CRM background is an advantage. Strong sales skills instincts and track record hitting and exceeding quota consistently. Ability to build and maintain deep client relationships across levels in complex organizations. Demonstrable history of proactive pipeline generation and book of business management. Comfortable and energized operating and problem-solving in a fast-moving organization. Exceptional written, verbal communicator, and efficient presenter via online and in-person meetings with decision makers. Growth mindset, intellectual curiosity, and ambition. Demonstrable history of leadership, with both immediate and cross-functional teammates. Bonus skills & attributes Practical experience in Value Selling, Command of the Message, MEDDPICC is a strong advantage. Additional European languages are an advantage. Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews - we reward great work! Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Open vacation policy and flexible holidays so you can take time off when you need it. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. #J-18808-Ljbffr
What's the opportunity? Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Contribute to finding the right ML framing of a product problem Work with teammates and Product and Design stakeholders Take algorithms which work offline, and put them in a production setting Deeply understand and modify as needed Solve hard scalability and optimization problems Run production ML infrastructure, evolve it over time Build new data infrastructure to enable exploration Establish processes for large scale data analyses, model development, validation, and implementation Work with teammates to measure and iterate on algorithm performance Partner deeply with the rest of the team, and others, to build excellent ML products What skills might I need? These are meant to be indicative, not hard requirements. Excellent pragmatic engineering skills Familiar with tools used to write, test, deploy, debug and monitor software Comfort owning features from inception to outcome. 5+ years experience in a production environment, with contributions to the design and architecture of distributed systems. We’re looking for engineers who can confidently put ML-powered features in production. Strong communication skills, both within engineering teams and across disciplines. Excellent programming skills Comfort with ambiguity BSc in Computer Science, or similar knowledge Bonus skills & attributes Deep knowledge of AWS services ML Ops experience Large scale computation experience Track record shipping ML products Experience in a research environment Algorithmic optimisation experience Advanced education in CS, ML, Math, Stats, or similar Practical stats knowledge (experiment design, dealing with confounding, etc) Experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Visualization, data skills, SQL, matplotlib, etc. Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :) Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #J-18808-Ljbffr
What's the opportunity? Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Contribute to finding the right ML framing of a product problem Working with teammates and Product and Design stakeholders Taking algorithms which work offline, and putting them in a production setting Deeply understand and modify as needed Solve hard scalability and optimization problems Run production ML infrastructure, evolve it over time Build new data infrastructure to enable exploration Establish processes for large scale data analyses, model development, validation, and implementation Work with teammates to measure and iterate on algorithm performance Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? These are meant to be indicative, not hard requirements. Excellent pragmatic engineering skills Familiar with tools used to write, test, deploy, debug and monitor software Comfort owning features from inception to outcome. 3+ years experience in a production environment, with contributions to the design and architecture of distributed systems. We’re looking for engineers who can confidently put ML-powered features in production. Strong communication skills, both within engineering teams and across disciplines. Excellent programming skills Comfort with ambiguity BSc in Computer Science, or similar knowledge Bonus skills & attributes Deep knowledge of AWS services ML Ops experience Large scale computation experience Track record shipping ML products Experience in a research environment Algorithmic optimisation experience Advanced education in CS, ML, Math, Stats, or similar Practical stats knowledge (experiment design, dealing with confounding, etc) Experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Visualization, data skills, SQL, matplotlib, etc. Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organisation. We're committed to an inclusive and diverse Intercom! We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race. #J-18808-Ljbffr
What's the opportunity? Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Contribute to finding the right ML framing of a product problem Work with teammates and Product and Design stakeholders Take algorithms which work offline, and put them in a production setting Deeply understand and modify as needed Solve hard scalability and optimization problems Run production ML infrastructure, evolve it over time Build new data infrastructure to enable exploration Establish processes for large scale data analyses, model development, validation, and implementation Work with teammates to measure and iterate on algorithm performance Partner deeply with the rest of the team, and others, to build excellent ML products What skills might I need? These are meant to be indicative, not hard requirements. Excellent pragmatic engineering skills Familiarity with tools used to write, test, deploy, debug, and monitor software Comfort owning features from inception to outcome 7+ years experience in a production environment, with contributions to the design and architecture of distributed systems We’re looking for engineers who can confidently put ML-powered features in production Strong communication skills, both within engineering teams and across disciplines Excellent programming skills Comfort with ambiguity BSc in Computer Science, or similar knowledge Bonus skills & attributes Deep knowledge of AWS services ML Ops experience Large scale computation experience Track record shipping ML products Experience in a research environment Algorithmic optimization experience Advanced education in CS, ML, Math, Stats, or similar Practical stats knowledge (experiment design, dealing with confounding, etc.) Experience in an applicable ML area (e.g., NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering) Visualization, data skills, SQL, matplotlib, etc. Benefits We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme, with secure bike storage too MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices #J-18808-Ljbffr
Senior Program Manager, Voice of the Customer Intercom was founded in 2011 to change the standard of customer service online. Our AI-first customer service platform is designed to transform the way businesses interact with their customers through AI. We help businesses provide instant and exceptional service to their customers and maximize their support agents’ productivity, efficiency, and performance—all through our single AI system. More than 25,000 businesses use Intercom to send millions of messages to millions of customers each month. Join us on our mission to redefine customer service and make internet business personal. What's the opportunity? We’re looking for a skilled Senior Programme Manager to lead Intercom’s Voice of the Customer (VoC) Programme within our Go To Market org. In this role, you will be responsible for scoping, building, and launching the VoC programme, aligning closely with leaders in our GTM and R&D orgs. This programme will play a crucial role in how we develop and prioritise our product roadmap. You’ll spend time mapping and understanding all of our customer feedback, and turning that data into actionable insights to champion our customers internally. What will I be doing? Build, develop a vision for, and manage a comprehensive VoC programme Streamline multiple different feedback channels into one central product feedback loop from our GTM organisation to our R&D teams Partner closely with R&D, Customer Support, and GTM leadership to analyse feedback to turn into actionable insights to improve our customer experience Work with internal stakeholders to launch and solicit feedback from a Customer Advisory Board comprising of Intercom’s most strategic customers Enable GTM and R&D teams on using product feedback to maximise customer experience, including closing the loop on customer feedback Use analytics tools to gain insights from all customer interactions with our support org Proactively identify internal processes that need to be improved to improve CX What skills do I need? 6+ years experience in programme management AND 4+ years in a customer facing role Previous experience building a Voice of Customer program for a SaaS / technology company is a bonus Demonstrated proficiency in understanding complex technical problems Experience in building and launching new programmes Expertise in feedback platforms and analytics tools Strong executive communication and stakeholder management skills Proven success working cross functionally across multiple groups and stakeholders Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least two days per week. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of any legally recognized protected basis under federal, state, or local law. #J-18808-Ljbffr
Intercom was founded in 2011 to change the standard of customer service online. Our AI-first customer service platform is a totally new way to deliver customer service and is designed to transform the way businesses interact with their customers through AI. We all know that customer service on the internet sucks. It’s slow and impersonal. We help businesses provide instant and exceptional service to their customers and maximize their support agents’ productivity, efficiency, and performance—all through our single AI system. More than 25,000 businesses use Intercom to send millions of messages to millions of customers each month. Intercom has been a long-standing product leader and cultural icon in the technology and startup worlds for more than a decade. We set the pace for our industry and live by our values that allow us to push boundaries, build with speed and intensity, and deliver incredible value to our customers. Join us on our mission to redefine customer service and make internet business personal. What's the opportunity? Our company website is the centerpiece of our brand, the public source of truth about Intercom's products, and the number one driver of leads for our demand generation team. Intercom.com sits at the intersection of awareness, product marketing, demand, and support. We’re seeking a motivated Full Stack Engineer to join Team Web and play a key role in shaping the future of our website. In this role, you will develop responsive, accessible, and user-friendly interfaces that reflect our brand and exceed user expectations. You’ll work closely with brand and UX/UI designers, product marketing, and product managers to translate web experiences into high-quality code. What will I be doing? Design, develop, and maintain complex front-end solutions, ensuring they are scalable, performant, and optimized for all devices. Collaborate with cross-functional teams to deliver seamless user experiences by translating design prototypes into code and ensuring back-end integration. Implement responsive, accessible, and high-performance UI components using HTML, CSS, and JavaScript frameworks like React, Next.js and Tailwind. Optimize website performance by applying best practices in front-end development, including lazy loading, and efficient asset management. Stay current with emerging technologies and trends to continually improve our development processes and user experience. Be comfortable writing backend software. We look for engineers to be able to unblock themselves end to end. What skills do I need? 5+ years of experience in front-end or full stack development, with expertise in JavaScript, HTML, and CSS. Expert in front-end frameworks such as React, Next.js, Tailwind. Proficiency in CMS platforms (such as Contentful) and marketing tools (e.g. Google Tag Manager). Experience in CI/CD tools (such as CircleCI) to streamline and automate development workflows. Experience with A/B testing and familiarity with analytics tools to drive data-informed design and development decisions. Strong understanding of responsive design principles, cross-browser compatibility, and web accessibility standards (WCAG). Knowledge of performance optimization techniques and best practices for fast-loading, responsive websites. Experience in writing tests for front-end components, with familiarity in testing frameworks (e.g., Jest, Mocha, Cypress). Strong problem-solving skills and the ability to work independently and as part of a team. Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Policies Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least two days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law. #J-18808-Ljbffr
What's the opportunity? We’re looking for Senior Product Engineers to join the AI Group to build Intercom’s AI-powered products. Product Engineers working in ML work closely with both our ML Scientists and product teams. They must deeply understand our product, our customers, our ML tech stack and our broader product stack. Our group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated Engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you are an experienced product engineer who takes an analytical approach to development and has some hands-on experience with ML systems, we'd love to hear from you! What will I be doing? Build the systems that power Intercom’s flagship AI products. This usually means working in our ML Python tech stack, but at times also means working across the product on our Rails app too. Work alongside our ML Scientists to bring proof-of-concept code to production; ensuring it’s robust and scalable for real-world use. Partner with product teams outside of our group, to shape the best AI-powered product experience for our customers. Contribute to all phases of software development including ideation, prototyping, implementation, and testing. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence within the group and across Intercom. Profile we’re looking for These are meant to be indicative, not hard requirements. 5+ years of experience shipping high-quality products. 1+ year of experience building ML-powered products. You’ll be supported by, and learn from teammates with deep ML experience. You can demonstrate significant impact in the work that you have done. You take pride in having strong technical fundamentals; you love learning and are willing to work hard to invest in your development. Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.) but it doesn’t need to be a language that we use here! Strong willingness to fight for good outcomes. Bias towards progress over perfection. BSc in Computer Science, Maths or Statistics or related discipline. Bonus skills & attributes Previous experience in data analytics, or statistical role. Benefits We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Regular compensation reviews - we reward great work! Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. #J-18808-Ljbffr
What's the opportunity? Intercom’s Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product-focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML backend engineers collaborate with scientists to deeply understand research context, enabling us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology and have productized everything from classic supervised models to cutting-edge unsupervised clustering algorithms and novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. If you excel in scaling backend systems but have a bit less hands-on experience with ML systems (which you happily make up for with your keen interest), we'd love to hear from you! What will I be doing? Taking algorithms which work offline and putting them in a production setting Deeply understand and modify as needed Solve hard scalability and optimization problems Improve our dev tooling Run production ML infrastructure and evolve it over time Build new data infrastructure to enable exploration Establish processes for large scale data analyses, model development, validation, and implementation Work with teammates to measure and iterate on algorithm performance Partner deeply with the rest of the team and others to build excellent ML products What skills might I need? These are meant to be indicative, not hard requirements. Excellent pragmatic engineering skills Familiar with tools used to write, test, deploy, debug, and monitor software Comfort owning features from inception to outcome 5+ years experience in a production environment, with contributions to the design and architecture of distributed systems Strong communication skills, both within engineering teams and across disciplines Excellent programming skills Comfort with ambiguity BSc in Computer Science or similar knowledge Bonus skills & attributes ML Ops experience GPU, Pytorch, OS internals Deep knowledge of AWS services Track record shipping ML products Large scale ETL Benefits We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme with secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. #LI-Hybrid #J-18808-Ljbffr
What’s the opportunity? We are looking for a Staff Engineer to join the team that enables the core technologies that Intercom is built on . This is for you if you are passionate about building and scaling systems such as MySQL, ElasticSearch, ingestion pipelines, and owning how they operate from low level systems engineering to all parts of our Rails and Python monoliths. Our team’s mission is to accelerate Intercom’s growth and stability through educated and operationally excellent core technology usage. This means that we’re here to help product engineers and ML scientists build simpler, more performant product - faster. This can be through things like making low level database improvements that enhance everyone's experience, building best in class Elasticsearch tooling, or partnering with teams that utilise any of Intercom’s core technologies or our build patterns. Previous projects from the team include future-proofing our databases through sharding and building a mechanism to migrate Elasticsearch indexes for scale and profit . We’re building a robust platform where your expertise will be applied to areas such as building a beautiful Messenger, an efficient teammate experience, a secure by default system, all while scaling the platform to billions of users and shipping two hundred new versions of Intercom to production every day. Delve deeper into our engineering culture at intercom.engineering and explore our engineering values . What will I be doing? Collaborate with world-class domain experts to shape our technical direction and infrastructure as we grow. Deeply own aspects of our infrastructure at Intercom and autonomously executing on high impact projects - including writing application code, automating systems, improving observability and low-level tuning of datastores used in production, test and development across Intercom. Value agility and simplicity, just as you prioritise scalability and uptime. Our continuous deployment approach ensures focus on gradual improvements. Major accomplishments are introduced incrementally, staying under the radar with feature flags. Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as strategic work and enablement. Play an active role in the hiring, mentoring, and career development of other engineers. Raise the bar for technical standards, performance, reliability, and operational excellence across Intercom. What skills do I need? Excellent pragmatic engineering and decision making skills in a high stakes environment. 8+ years experience in a production environment, with significant contributions to the design, architecture, and optimisation of distributed systems. Expertise in backend technologies such as MySQL, Elasticsearch, Memcached, as well as Linux, with demonstrated capability to innovate and optimise at the system level. Ideally, you’ve supported scaling a SaaS product in a previous role and loved the satisfaction that comes with knowing that people around the world are using something you’ve created. Significant, demonstrated impact that your work has had on the product and/or the teams you worked with. Proficient with standard software engineering methodologies, e.g. unit testing, object-oriented design, data structures, code reviews, design documentation, and utilising observability tooling. Deep understanding of modern web applications and distributed systems, with the ability to lead complex technical discussions and drive decisions among stakeholders. Benefits We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. #J-18808-Ljbffr
What’s the opportunity? As a Senior Cloud Security Engineer you will have experience in investigating advanced threats, detecting cloud-native attacker techniques, and securing AWS environments, with a focus on technical controls, incident response, and detection engineering. You will be working with other engineering teams to identify & mitigate risks across our cloud infrastructure. You will develop and enforce security measures within our cloud infrastructure, delivering a safe and secure engineering environment. This role requires a deep understanding of security best practices, the threat landscape, and the ability to implement and enforce robust security measures. You will identify and detect threats to our business and drive our response to security incidents. The ideal candidate should have a strong background in cloud computing, infrastructure as code, and possess a deep understanding of AWS services. Become a Senior Security Engineer of the Cloud Security team and join the globally distributed Information Security group, overseeing the security and trust of Intercom for 25,000+ businesses through defining and holding the bar for the security of our product. What will I be doing? As a Senior Security Engineer on the cloud security engineering team you will: Leverage cloud-native security tools (e.g., IAM, GuardDuty, AWS WAF, Security Hub) along with EDR and SIEM to enhance security posture. Develop strategies, frameworks, automations and processes to advance the Detection and Response program. Create Protective and Detective controls using open-source and closed-source intelligence sources to address gaps and detect potential intrusions. Collaborate with product engineering teams to manage and resolve security incidents, ensuring effective containment and mitigation. Automate security controls and compliance checks to maintain adherence to security standards. Partner with infrastructure teams to expand automation and infrastructure as code practices for secure, scalable operations. What skills do I need? We recognise that sometimes these lists can appear as strict requirements, but that’s not the case. Even if you feel you have a subset of the experience below - that’s ok, we’d love to talk to you! Experience in investigating advanced threats and detecting cloud-native attacker techniques using a modern detection engineering approach, with deep expertise in attacker behavior, technical controls, and diverse technologies. Experienced in securing AWS environments, developing detections, and responding to security incidents, including containment, investigation, and recovery. Solid understanding and demonstrated expertise managing AWS security controls and ensuring the security of cloud service offerings (IAM, VPC, firewalls/ACL, IDS/IPS, WAF, Linux hosts, serverless, etc.) Proficiency in high-level programming language (e.g., Python, Ruby) for automation of security tasks. Experience in implementing Infrastructure as Code (IaC) practices using tools such as Terraform, AWS CloudFormation, or similar. An ability to thrive in a fast-moving environment. You’ll have the autonomy to prioritise, explore and determine your own solutions to problems. How will I be supported? You will report to the Cloud Security Engineering Manager. You will buddy with another Dublin-based Cloud Security engineer who will help you to onboard and get up to speed quickly. You will have a close group of InfoSec peers to collaborate with and learn from. We invest heavily in our Engineers, supporting individual career development through training and coaching. Benefits We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! :) Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work! Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. #LI-Hybrid #J-18808-Ljbffr
