Careers at Angi Inc.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting About the role: Angi is seeking an exceptional Staff Data Scientist to help build our agent suite for Pros, AI software that automates and runs the Pro's business for them. The first product in the suite is an AI voice and SMS agent that contacts homeowners on the Pro's behalf, qualifies the job, and books the appointment. It is live with hundreds of Pros and growing, and it is the first of several agents we intend to build. This is a data science role on a product whose core behavior is conversational and probabilistic. The work spans shaping how the agent behaves, building the evaluation systems that tell us whether it is getting better, designing the experiments that decide what we ship, and modeling the parts of the lead to job completion journey where a model is the right answer. Success in the role shows up directly in improving Pro’s revenue, which is the metric that determines whether Pros see a return from Angi. What you’ll do: Agent Behavior & Development: Lead improvements to how our agents converse, qualify, and book, through conversation design, prompting, and campaign logic. Success in these areas directly impacts contact rate, engagement rate, appointment set rate, and job win rate which are critical metrics for both Pro outcomes and business success. Evaluation & Measurement: Build the evaluation systems that make agent quality measurable, spanning automated checks over conversation traces, simulated conversations graded against expected outcomes, and model-based evaluation where human judgment is required. Establish the frameworks and design of experiment practices we use to decide what ships. Conversation Analysis: Work directly with real conversations to understand where the agent succeeds and where it falls short, translating that understanding into a shared taxonomy of failure modes, measured rates, and a prioritized path to improvement. Modeling & Production Ownership: Develop predictive models where they add leverage, in areas such as qualification and appointment quality, homeowner engagement, and channel and timing selection, and take them into production yourself. This team builds and operates what it designs, so your work runs in our production systems with the monitoring and testing that implies. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, designers and operations partners to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields), or equivalent practical experience. You have 6+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments. You have worked on systems whose outputs are non-deterministic, such as LLM applications, conversational agents, or ranking and recommendation systems, and you have built ways to measure their quality. You are an expert in statistical thinking and experiment design, comfortable with power and sample size, sequential and non-inferiority designs, and correlated data. You enjoy working close to the raw material, including reading and categorizing large volumes of real customer interactions to find out what is actually happening. You have a proven track record of taking highly impactful work into production environments and keeping it healthy there. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with LLM applications in production, including prompting, agent design, or evaluation tooling. Experience with voice or telephony systems, such as streaming speech recognition, turn taking, or call quality measurement. Experience with workflow orchestration for long-running processes. Background in home services, field service, or another operations-heavy marketplace. Compensation & Benefits: The salary band for this position ranges from $210,000 - $280,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K). The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting About the role: Angi is seeking an exceptional Senior Data Scientist to help build our agent suite for Pros, AI software that automates and runs the Pro's business for them. The first product in the suite is an AI voice and SMS agent that contacts homeowners on the Pro's behalf, qualifies the job, and books the appointment. It is live with hundreds of Pros and growing, and it is the first of several agents we intend to build. This is a data science role on a product whose core behavior is conversational and probabilistic. The work spans shaping how the agent behaves, building the evaluation systems that tell us whether it is getting better, designing the experiments that decide what we ship, and modeling the parts of the lead to job completion journey where a model is the right answer. Success in the role shows up directly in improving Pro’s revenue, which is the metric that determines whether Pros see a return from Angi. What you’ll do: Agent Behavior & Development: Lead improvements to how our agents converse, qualify, and book, through conversation design, prompting, and campaign logic. Success in these areas directly impacts contact rate, engagement rate, appointment set rate, and job win rate which are critical metrics for both Pro outcomes and business success. Evaluation & Measurement: Build the evaluation systems that make agent quality measurable, spanning automated checks over conversation traces, simulated conversations graded against expected outcomes, and model-based evaluation where human judgment is required. Establish the frameworks and design of experiment practices we use to decide what ships. Conversation Analysis: Work directly with real conversations to understand where the agent succeeds and where it falls short, translating that understanding into a shared taxonomy of failure modes, measured rates, and a prioritized path to improvement. Modeling & Production Ownership: Develop predictive models where they add leverage, in areas such as qualification and appointment quality, homeowner engagement, and channel and timing selection, and take them into production yourself. This team builds and operates what it designs, so your work runs in our production systems with the monitoring and testing that implies. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, product managers, designers and operations partners to build scalable and high-impact solutions. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Foster innovation within the team, exploring new approaches and techniques to solve complex business problems. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage innovation and knowledge sharing to enhance the team's capabilities in advanced data science techniques from both industry and academia. Who you are: You have a Master's or Ph.D. in a quantitative field (e.g., Computer Science, Statistics, Mathematics, or related fields), or equivalent practical experience. You have 4+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments. You have worked on systems whose outputs are non-deterministic, such as LLM applications, conversational agents, or ranking and recommendation systems, and you have built ways to measure their quality. You are an expert in statistical thinking and experiment design, comfortable with power and sample size, sequential and non-inferiority designs, and correlated data. You enjoy working close to the raw material, including reading and categorizing large volumes of real customer interactions to find out what is actually happening. You have a proven track record of taking highly impactful work into production environments and keeping it healthy there. You are proficient in SQL and Python, and have experience with cloud ML solutions. You have excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with LLM applications in production, including prompting, agent design, or evaluation tooling. Experience with voice or telephony systems, such as streaming speech recognition, turn taking, or call quality measurement. Experience with workflow orchestration for long-running processes. Background in home services, field service, or another operations-heavy marketplace. Compensation & Benefits: The salary band for this position ranges from $185,000 - $240,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs Flexible vacation policy; work hard and take time when you need it Pet discount plans & retirement plan with company match (401K). The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting About the role: Angi is seeking an exceptional Senior Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi’s marketplace problems, demonstrating proficiency in software engineering. Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance. What you’ll do: Model Development: Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions). Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success. Model Deployment and Engineering: Design and architect robust MLOps practices to ensure the seamless deployment and scalability of machine learning models, including self-hosted large language models (LLMs). This includes automating model training and post-training (fine-tuning, RLHF/preference alignment, distillation), optimizing runtime performance and inference cost of models, and owning the full MLOps lifecycle — from data pipelines and experiment tracking through CI/CD, model registry, monitoring, and rollback — to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Define and own rigorous evaluation frameworks for deep learning and ML systems — offline metrics , online experimentation (A/B testing, guardrail metrics), and LLM-specific evaluation (hallucination rate, task accuracy, human/LLM-as-judge scoring) — to ensure models meet quality and safety bars before and after deployment. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, ml infra team, data scientists and product managers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Assist in developing a long-term technical vision; help propose a roadmap for team setting clear objections. Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are: You hold a Master’s or Ph.D. in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. You possess 4+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments. You have hands-on experience post-training and self-hosting open-weight LLMs (e.g., fine-tuning, quantization, serving infrastructure such as vLLM, SGLang ) rather than relying solely on third-party APIs. You have a deep understanding of evaluation metrics across deep learning and classical ML and can design evaluation strategies that catch regressions before they reach production. You have end-to-end fluency in the MLOps lifecycle — data versioning, feature stores, CI/CD for ML, model monitoring/observability, and retraining pipelines — not just model development. You are knowledgeable about large-scale distributed application architecture, design, implementation, and performance tuning. You have the ability to drive the roadmap and direction of scalable, production-quality systems end-to-end, and effectively communicate cross-functionally with Product and Engineering teams. You have practical knowledge of advanced machine learning algorithms and deep learning to deploy for search systems, information retrieval, and ranking algorithms. You are proficient in SQL, Python and ML frameworks (such as TensorFlow and PyTorch) with strong coding skills. You possess excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Compensation & Benefits The base salary band for this position ranges from $200,000-$250,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs. Flexible vacation policy; work hard and take time when you need it. Pet discount plans & retirement plan with company match (401K). The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting About the role: Angi is seeking an exceptional Staff Machine Learning Engineer to join our Data Science and Machine Learning team, playing a pivotal role in transforming our platform into a world-class online marketplace. This technical leadership position involves tackling complex challenges such as homeowner-pro search ranking and leveraging predictive models to enhance our product and consumer experience. The ideal candidate will apply state-of-the-art machine learning and AI techniques to solve Angi’s marketplace problems, demonstrating proficiency in software engineering. Additionally, the role requires close collaboration with the platform team to deploy models and services at scale with low latencies, ensuring seamless integration and high performance. What you’ll do: Model Development: Lead development of advanced machine learning and AI models to improve our marketplace algorithms (e.g. search ranking, recommendation and matching solutions). Success in these areas will impact user experience & engagement, retention, and conversion rates - critical metrics for business success. Model Deployment and Engineering: Design and architect robust MLOps practices to ensure the seamless deployment and scalability of machine learning models, including self-hosted large language models (LLMs). This includes automating model training and post-training (fine-tuning, RLHF/preference alignment, distillation), optimizing runtime performance and inference cost of models, and owning the full MLOps lifecycle — from data pipelines and experiment tracking through CI/CD, model registry, monitoring, and rollback — to enable fast, reliable delivery of machine learning solutions into production environments. Model Evaluation: Define and own rigorous evaluation frameworks for deep learning and ML systems — offline metrics , online experimentation (A/B testing, guardrail metrics), and LLM-specific evaluation (hallucination rate, task accuracy, human/LLM-as-judge scoring) — to ensure models meet quality and safety bars before and after deployment. Collaboration with Cross-Functional Teams: Work closely with a strong team of engineers, ml infra team, data scientists and product managers to build scalable and high-impact machine learning systems. Collaborate on the end-to-end development process, from ideation to deployment, ensuring that data-driven solutions are seamlessly integrated into our products and services. Innovation: Develop a long-term technical vision; propose a roadmap for team setting clear objections. Play a vital role in the design and implementation of new products and features, while also enhancing the existing product suite with innovative machine learning capabilities. Mentorship: Guide junior team members and foster a culture of continuous learning and technical excellence. Lead and encourage knowledge sharing to enhance the team's capabilities in advanced machine learning techniques from both industry and academia. Who you are: You hold a Master’s or Ph.D. in a quantitative field, such as Computer Science, Statistics, Mathematics, or a related discipline. You possess 6+ years of experience in data science and machine learning, ideally within the tech industry and marketplace environments. You have hands-on experience post-training and self-hosting open-weight LLMs (e.g., fine-tuning, quantization, serving infrastructure such as vLLM, SGLang ) rather than relying solely on third-party APIs. You have a deep understanding of evaluation metrics across deep learning and classical ML and can design evaluation strategies that catch regressions before they reach production. You have end-to-end fluency in the MLOps lifecycle — data versioning, feature stores, CI/CD for ML, model monitoring/observability, and retraining pipelines — not just model development. You are knowledgeable about large-scale distributed application architecture, design, implementation, and performance tuning. You have the ability to drive the roadmap and direction of scalable, production-quality systems end-to-end, and effectively communicate cross-functionally with Product and Engineering teams. You have practical knowledge of advanced machine learning algorithms and deep learning to deploy for search systems, information retrieval, and ranking algorithms. You are proficient in SQL, Python and ML frameworks (such as TensorFlow and PyTorch) with strong coding skills. You possess excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Compensation & Benefits The base salary band for this position ranges from $230,000-$310,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. This position will be eligible for a competitive year end performance bonus & equity package. Full medical, dental, vision package to fit your needs. Flexible vacation policy; work hard and take time when you need it. Pet discount plans & retirement plan with company match (401K). The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world. We value diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting Angi is seeking a Temporary Senior Salesforce Developer to join our Sales and Care Tooling team. In this role, you will design and implement functionality that supports our Sales and Care organizations, and help integrate our Salesforce instance with a new global, technical platform. You will work closely with seven Salesforce specialists and a Product Manager to deliver against team objectives. Our team works fluently with Visual Studio Code, Git, and SFDX CI/CD, and has recently adopted AI-assisted development to significantly increase output. We deploy to production an average of three times per day. Our guiding philosophy is "Salesforce flows first." Most business features are built by administrators using Flow. Engineers partner with senior administrators to maintain a coherent package architecture and to design and develop custom components where Flow isn't a fit. Technology Stack On the Salesforce side, we follow an unlocked packages strategy across 20+ packages. Our code is built on open-source Apex design pattern frameworks (FFLIB and AT4DX), with high, meaningful Apex test coverage — though we default to Flow wherever possible. While Salesforce is the primary tool for our Sales and Care teams, Angi's core platform runs on services built in Symfony 5.4 (PHP 8.1) and Kotlin, deployed on Kubernetes clusters. What you’ll do Partner with the team to deliver high-priority initiatives integrating our Salesforce instance with Angi's new unified platform in the US market Contribute to, uphold, and help evolve the team's development quality standards and Salesforce best practices Ground your work in the data and context behind key decisions Be an active voice in product and technical discussions Apply your expertise and experience to support the other senior team members as they make and implement critical technical decisions over the coming months Who you are You possess deep knowledge of Salesforce application architecture and software design principles You have 8+ years of commercial experience developing in LWC and Apex, including automated testing You use Visual Studio Code (or similar IDE), Git and AI tooling in your development workflow, and are experienced with Salesforce code deployments using CI/CD tools You are a collaborative communicator and have experience working in agile and lean environments on cross functional teams. You have Platform Developer I & II certifications Nice to have Additional Salesforce core platform certifications (e.g., Service Cloud, Experience Cloud) System Architect or Certified Technical Architect certification Trailhead badges or superbadges (Apex Specialist, Lightning Web Components Specialist) Familiarity with automated testing philosophy: TDD, Apex tests, Jest tests Benefits The salary band for this position ranges from €85,000 - €105,000 (annualized), commensurate with experience and qualifications Hybrid work environment and home office set-up allowance Temporary work from abroad policy Regular team and social events

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting Angi is seeking a Temporary Senior Salesforce Developer to join our Sales and Care Tooling team. In this role, you will design and implement functionality that supports our Sales and Care organizations, and help integrate our Salesforce instance with a new global, technical platform. You will work closely with seven Salesforce specialists and a Product Manager to deliver against team objectives. Our team works fluently with Visual Studio Code, Git, and SFDX CI/CD, and has recently adopted AI-assisted development to significantly increase output. We deploy to production an average of three times per day. Our guiding philosophy is "Salesforce flows first." Most business features are built by administrators using Flow. Engineers partner with senior administrators to maintain a coherent package architecture and to design and develop custom components where Flow isn't a fit. Technology Stack On the Salesforce side, we follow an unlocked packages strategy across 20+ packages. Our code is built on open-source Apex design pattern frameworks (FFLIB and AT4DX), with high, meaningful Apex test coverage — though we default to Flow wherever possible. While Salesforce is the primary tool for our Sales and Care teams, Angi's core platform runs on services built in Symfony 5.4 (PHP 8.1) and Kotlin, deployed on Kubernetes clusters. What you’ll do Partner with the team to deliver high-priority initiatives integrating our Salesforce instance with Angi's new unified platform in the US market Contribute to, uphold, and help evolve the team's development quality standards and Salesforce best practices Ground your work in the data and context behind key decisions Be an active voice in product and technical discussions Apply your expertise and experience to support the other senior team members as they make and implement critical technical decisions over the coming months Who you are You possess deep knowledge of Salesforce application architecture and software design principles You have 8+ years of commercial experience developing in LWC and Apex, including automated testing You use Visual Studio Code (or similar IDE), Git and AI tooling in your development workflow, and are experienced with Salesforce code deployments using CI/CD tools You are a collaborative communicator and have experience working in agile and lean environments on cross functional teams. You have Platform Developer I & II certifications Nice to have Additional Salesforce core platform certifications (e.g., Service Cloud, Experience Cloud) System Architect or Certified Technical Architect certification Trailhead badges or superbadges (Apex Specialist, Lightning Web Components Specialist) Familiarity with automated testing philosophy: TDD, Apex tests, Jest tests Benefits The salary band for this position ranges from €85,000 - €105,000 (annualized), commensurate with experience and qualifications Hybrid work environment and home office set-up allowance Temporary work from abroad policy Regular team and social events

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting Angi is seeking a Temporary Senior Salesforce Developer to join our Sales and Care Tooling team. In this role, you will design and implement functionality that supports our Sales and Care organizations, and help integrate our Salesforce instance with a new global, technical platform. You will work closely with seven Salesforce specialists and a Product Manager to deliver against team objectives. Our team works fluently with Visual Studio Code, Git, and SFDX CI/CD, and has recently adopted AI-assisted development to significantly increase output. We deploy to production an average of three times per day. Our guiding philosophy is "Salesforce flows first." Most business features are built by administrators using Flow. Engineers partner with senior administrators to maintain a coherent package architecture and to design and develop custom components where Flow isn't a fit. Technology Stack On the Salesforce side, we follow an unlocked packages strategy across 20+ packages. Our code is built on open-source Apex design pattern frameworks (FFLIB and AT4DX), with high, meaningful Apex test coverage — though we default to Flow wherever possible. While Salesforce is the primary tool for our Sales and Care teams, Angi's core platform runs on services built in Symfony 5.4 (PHP 8.1) and Kotlin, deployed on Kubernetes clusters. What you’ll do Partner with the team to deliver high-priority initiatives integrating our Salesforce instance with Angi's new unified platform in the US market Contribute to, uphold, and help evolve the team's development quality standards and Salesforce best practices Ground your work in the data and context behind key decisions Be an active voice in product and technical discussions Apply your expertise and experience to support the other senior team members as they make and implement critical technical decisions over the coming months Who you are You possess deep knowledge of Salesforce application architecture and software design principles You have 8+ years of commercial experience developing in LWC and Apex, including automated testing You use Visual Studio Code (or similar IDE), Git and AI tooling in your development workflow, and are experienced with Salesforce code deployments using CI/CD tools You are a collaborative communicator and have experience working in agile and lean environments on cross functional teams. You have Platform Developer I & II certifications Nice to have Additional Salesforce core platform certifications (e.g., Service Cloud, Experience Cloud) System Architect or Certified Technical Architect certification Trailhead badges or superbadges (Apex Specialist, Lightning Web Components Specialist) Familiarity with automated testing philosophy: TDD, Apex tests, Jest tests Benefits The salary band for this position ranges from €85,000 - €105,000 (annualized), commensurate with experience and qualifications Hybrid work environment and home office set-up allowance Temporary work from abroad policy Regular team and social events

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you. Angi at a glance: Founded in 1995 as Angie’s List and rebranded in 2021 Global company with 9 brands in 8 countries and employees worldwide Homeowners have turned to us for 300 million home projects and counting Angi is seeking a Temporary Senior Salesforce Developer to join our Sales and Care Tooling team. In this role, you will design and implement functionality that supports our Sales and Care organizations, and help integrate our Salesforce instance with a new global, technical platform. You will work closely with seven Salesforce specialists and a Product Manager to deliver against team objectives. Our team works fluently with Visual Studio Code, Git, and SFDX CI/CD, and has recently adopted AI-assisted development to significantly increase output. We deploy to production an average of three times per day. Our guiding philosophy is "Salesforce flows first." Most business features are built by administrators using Flow. Engineers partner with senior administrators to maintain a coherent package architecture and to design and develop custom components where Flow isn't a fit. Technology Stack On the Salesforce side, we follow an unlocked packages strategy across 20+ packages. Our code is built on open-source Apex design pattern frameworks (FFLIB and AT4DX), with high, meaningful Apex test coverage — though we default to Flow wherever possible. While Salesforce is the primary tool for our Sales and Care teams, Angi's core platform runs on services built in Symfony 5.4 (PHP 8.1) and Kotlin, deployed on Kubernetes clusters. What you’ll do Partner with the team to deliver high-priority initiatives integrating our Salesforce instance with Angi's new unified platform in the US market Contribute to, uphold, and help evolve the team's development quality standards and Salesforce best practices Ground your work in the data and context behind key decisions Be an active voice in product and technical discussions Apply your expertise and experience to support the other senior team members as they make and implement critical technical decisions over the coming months Who you are You possess deep knowledge of Salesforce application architecture and software design principles You have 8+ years of commercial experience developing in LWC and Apex, including automated testing You use Visual Studio Code (or similar IDE), Git and AI tooling in your development workflow, and are experienced with Salesforce code deployments using CI/CD tools You are a collaborative communicator and have experience working in agile and lean environments on cross functional teams. You have Platform Developer I & II certifications Nice to have Additional Salesforce core platform certifications (e.g., Service Cloud, Experience Cloud) System Architect or Certified Technical Architect certification Trailhead badges or superbadges (Apex Specialist, Lightning Web Components Specialist) Familiarity with automated testing philosophy: TDD, Apex tests, Jest tests Benefits The salary band for this position ranges from £85,000 - 105,000 (annualized), commensurate with experience and qualifications Hybrid work environment and home office set-up allowance Temporary work from abroad policy Regular team and social events