About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Infrastructure Engineer on our team you will work end to end, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines. Familiarity with language model training, evaluation, and inference is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 3+ years of highly relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, ) The expected salary range for this position is: $315,000 - $560,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
04/03/2026
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Staff Infrastructure Engineer on our team you will work end to end, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines. Familiarity with language model training, evaluation, and inference is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 3+ years of highly relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, ) The expected salary range for this position is: $315,000 - $560,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include Scalable Oversight:Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control:Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing :Creatingmodel organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research:Building and aligning a system that can speed up & improve alignment research. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques likeAI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of ourResponsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The expected salary range for this position is: $280,000 - $690,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences How do you pronounce your name? Website Publications (e.g. Google Scholar) URL When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application Select While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree. In a paragraph or two, why do you want to work on AI safety at Anthropic? Given your understanding of our team's priorities, what are three projects you'd be excited about working on at Anthropic that are aligned with those priorities? (1-2 sentences each) You can learn about the team's work here: Share a link to the piece of work you've done that is most relevant to the Alignment Science team, along with a brief description of the work and its relevance. What's your ideal breakdown of your time in a working week, in terms of hours or % per week spent on meetings, coding, reading papers, etc.? In one paragraph, provide an example of something meaningful that you have done in line with your values. Examples could include past work, volunteering, civic engagement, community organizing, donations, family support, etc. Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? Select Additional Information Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Are you open to working in-person in one of our offices 25% of the time? Select Are you open to relocation for this role? Select What is the address from which you plan on working? If you would need to relocate, please type "relocating". Team Matching Pre-training - The Pre-training team trains large language models that are used by our product, alignment, and interpretability teams. Some projects include figuring out the optimal dataset, architecture, hyper-parameters, and scaling and managing large training runs on our cluster. AI Alignment Research - the Alignment team works to train more aligned (helpful, honest, and harmless) models and does "alignment science" to understand how alignment techniques work and try to extrapolate to uncover and address new failure modes. Reinforcement Learning - Reinforcement Learning is used by a variety of different teams, both for alignment and to teach models to be more capable at specific tasks. Platform - The Platform team builds shared infrastructure used by Anthropic's research and product teams. Areas of ownership include: the inference service that generates predictions from language models; extensive continuous integration and testing infrastructure; several very large supercomputing clusters and the associated tooling. . click apply for full job details
04/03/2026
Full time
About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include Scalable Oversight:Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control:Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing :Creatingmodel organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research:Building and aligning a system that can speed up & improve alignment research. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques likeAI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models' reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of ourResponsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The expected salary range for this position is: $280,000 - $690,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf (Optional) Personal Preferences How do you pronounce your name? Website Publications (e.g. Google Scholar) URL When is the earliest you would want to start working with us? Do you have any deadlines or timeline considerations we should be aware of? AI Policy for Application Select While we encourage people to use AI systems during their role to help them work faster and more effectively, please do not use AI assistants during the application process. We want to understand your personal interest in Anthropic without mediation through an AI system, and we also want to evaluate your non-AI-assisted communication skills. Please indicate 'Yes' if you have read and agree. In a paragraph or two, why do you want to work on AI safety at Anthropic? Given your understanding of our team's priorities, what are three projects you'd be excited about working on at Anthropic that are aligned with those priorities? (1-2 sentences each) You can learn about the team's work here: Share a link to the piece of work you've done that is most relevant to the Alignment Science team, along with a brief description of the work and its relevance. What's your ideal breakdown of your time in a working week, in terms of hours or % per week spent on meetings, coding, reading papers, etc.? In one paragraph, provide an example of something meaningful that you have done in line with your values. Examples could include past work, volunteering, civic engagement, community organizing, donations, family support, etc. Will you now or will you in the future require employment visa sponsorship to work in the country in which the job you're applying for is located? Select Additional Information Add a cover letter or anything else you want to share. LinkedIn Profile Please ensure to provide either your LinkedIn profile or Resume, we require at least one of the two. Are you open to working in-person in one of our offices 25% of the time? Select Are you open to relocation for this role? Select What is the address from which you plan on working? If you would need to relocate, please type "relocating". Team Matching Pre-training - The Pre-training team trains large language models that are used by our product, alignment, and interpretability teams. Some projects include figuring out the optimal dataset, architecture, hyper-parameters, and scaling and managing large training runs on our cluster. AI Alignment Research - the Alignment team works to train more aligned (helpful, honest, and harmless) models and does "alignment science" to understand how alignment techniques work and try to extrapolate to uncover and address new failure modes. Reinforcement Learning - Reinforcement Learning is used by a variety of different teams, both for alignment and to teach models to be more capable at specific tasks. Platform - The Platform team builds shared infrastructure used by Anthropic's research and product teams. Areas of ownership include: the inference service that generates predictions from language models; extensive continuous integration and testing infrastructure; several very large supercomputing clusters and the associated tooling. . click apply for full job details
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like "What will it look like?" and "What will it cost?" Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property - all from a smartphone scan in minutes. At Hover, we're driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide - we're redefining how people understand and interact with their spaces. Why Hover wants you Hover is hiring a Senior People Business Partner to serve as a strategic advisor to leaders across Design, Operations, Product, and Engineering. This role is critical to ensuring our people strategy evolves alongside the business as we scale. You'll partner closely with senior leaders to shape org design, elevate leadership effectiveness, and embed strong performance and change practices across teams - with real influence and a consistent seat at the table. You will contribute by You'll act as a strategic advisor to senior leaders across Design, Operations, Product, and Engineering-helping them navigate complexity, make high-quality people decisions, and build healthy, high-performing teams. You'll diagnose root causes, solve ambiguous problems, and bring clarity to areas where expectations, roles, or ways of working aren't fully aligned. You will strengthen leadership capability, improve decision-making, and anticipate the people implications of changes before they surface. This includes coaching managers, addressing performance issues with nuance and rigor, and guiding teams through moments of transition. Above all, you'll help leaders create sustainable systems, not one-off fixes. In practice, you will: Partner with executives on org design, leadership effectiveness, and strategic people decisions Diagnose team and organizational challenges; recommend actionable, systems-level solutions Coach leaders and managers through performance, development, and difficult conversations Lead change management for org, strategy, and operating model transitions Improve cross-functional alignment across Design, Ops, Product, and Engineering Your background includes Experience partnering with senior leaders across Product, Engineering, Design, and/or Operations Experience in tech-enabled organizations Proven ability to influence and build trust with complex or challenging stakeholders Experience with org design, performance management, and change initiatives Comfort operating autonomously in ambiguous environments Interest in or application of AI in people or organizational work Nice to have: Agency or consulting background Experience in companies under 1,000 employees Exposure to complex, multi-team organizational change Benefits Compensation - Competitive salary and meaningful equity in a fast-growing company Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off - Unlimited and flexible vacation policy Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self-Care Days - A day set aside each month to allow employees to recharge Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full-time position is $162,000 - $200,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
04/02/2026
Full time
Hover helps people design, improve, and protect the properties they love. With proprietary AI built on over a decade of real property data, Hover answers age-old questions like "What will it look like?" and "What will it cost?" Homeowners, contractors, and insurance professionals rely on Hover to get fully measured, accurate, and interactive 3D models of any property - all from a smartphone scan in minutes. At Hover, we're driven by curiosity, purpose, and a shared commitment to serving our customers, communities, and each other. We believe the best ideas come from diverse perspectives and are proud to cultivate an inclusive, high-performance culture that inspires growth, accountability, and excellence. Backed by leading investors like Google Ventures and Menlo Ventures, and trusted by industry leaders including Travelers, State Farm, and Nationwide - we're redefining how people understand and interact with their spaces. Why Hover wants you Hover is hiring a Senior People Business Partner to serve as a strategic advisor to leaders across Design, Operations, Product, and Engineering. This role is critical to ensuring our people strategy evolves alongside the business as we scale. You'll partner closely with senior leaders to shape org design, elevate leadership effectiveness, and embed strong performance and change practices across teams - with real influence and a consistent seat at the table. You will contribute by You'll act as a strategic advisor to senior leaders across Design, Operations, Product, and Engineering-helping them navigate complexity, make high-quality people decisions, and build healthy, high-performing teams. You'll diagnose root causes, solve ambiguous problems, and bring clarity to areas where expectations, roles, or ways of working aren't fully aligned. You will strengthen leadership capability, improve decision-making, and anticipate the people implications of changes before they surface. This includes coaching managers, addressing performance issues with nuance and rigor, and guiding teams through moments of transition. Above all, you'll help leaders create sustainable systems, not one-off fixes. In practice, you will: Partner with executives on org design, leadership effectiveness, and strategic people decisions Diagnose team and organizational challenges; recommend actionable, systems-level solutions Coach leaders and managers through performance, development, and difficult conversations Lead change management for org, strategy, and operating model transitions Improve cross-functional alignment across Design, Ops, Product, and Engineering Your background includes Experience partnering with senior leaders across Product, Engineering, Design, and/or Operations Experience in tech-enabled organizations Proven ability to influence and build trust with complex or challenging stakeholders Experience with org design, performance management, and change initiatives Comfort operating autonomously in ambiguous environments Interest in or application of AI in people or organizational work Nice to have: Agency or consulting background Experience in companies under 1,000 employees Exposure to complex, multi-team organizational change Benefits Compensation - Competitive salary and meaningful equity in a fast-growing company Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents Paid Time Off - Unlimited and flexible vacation policy Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave Mandatory Self-Care Days - A day set aside each month to allow employees to recharge Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications Hybrid roles at Hover Hover has Hubs in San Francisco and New York City, where we expect that all employees living within a 50-mile radius of our offices will come into their local Hover office at least three times a week to build rapport and foster organic connection. At this time, Hover is not considering fully remote roles. The US base salary range for this full-time position is $162,000 - $200,000 annually. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all applicable US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
This role is based in San Francisco, CA - Office days are Wed and Thur Who We Are We're building the future of real estate - today. HomeLight is the real estate technology platform powering innovative transactions for top agents, lenders, and their clients. Our technology makes it easier to buy and sell homes, whether that's enabling clients to buy before they sell, find a top agent, or have certainty through a modern closing process. Each year, HomeLight facilitates billions of dollars of residential real estate business on its platform for thousands of agents and loan officers. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success. About the Role We're looking for an intellectually curious and highly adaptable Product Manager to lead key initiatives at HomeLight focused on agent experience, consumer engagement, and AI innovation. In this role, you'll work on both sides of our platform-building internal tools to empower real estate agents and optimizing the consumer journey to drive engagement and conversion. You'll shape both the consumer and agent-facing sides of a platform used across thousands of real estate transactions. You'll collaborate with humble, high-caliber teammates who care deeply about users and outcomes. And you'll work on meaningful, high-visibility projects that directly impact revenue and experience. You'll lead fast-paced product development across AI-driven coaching, nurture tools, and website conversion funnels. Your work will directly influence how consumers discover, engage, and transact on our platform, while helping agents operate more efficiently and effectively. Range is dependent on the leveling during the interview process. We are open to hiring a PM, Sr.PM, or Lead PM. What You'll Do Own the roadmap for AI-powered agent enablement tools and consumer-facing product experiences. Improve agent performance with internal tools for coaching, follow-up, and lead nurture. Drive consumer conversion across key website pages and user flows using A/B testing, funnel optimization, and insights from behavioral data. Collaborate cross-functionally with engineering, design, customer success, marketing, and analytics to ship high-impact product experiences. Identify pain points in the client journey and develop solutions that improve communication and collaboration between agents, consumers, and partners. Leverage experimentation, user research, and data to iterate quickly and validate assumptions. Contribute to the ongoing evolution of our business model by identifying new opportunities for product differentiation and growth. What We're Looking For 5 plus years of product management experience, ideally in high-growth tech or SaaS environments. Strong product instincts, fast thinking, and a bias for action. Comfortable working in ambiguity and iterating quickly in response to feedback. Coachable with intellectual humility and a collaborative mindset. Experience optimizing conversion funnels, leading A/B tests, or improving digital consumer journeys. Passion for AI and its practical applications-prior AI experience is a plus, but not required. Excellent communication and stakeholder management skills. Benefits and Perks Medical (Aetna or Kaiser), Dental & Vision (Guardian) Long-Term Disability & Short-Term Disability, Hospital Indemnity Insurance, Accident Plan, and Employee Critical Illness (Guardian) 401k (Guideline), Life Insurance (Guardian) & Pet Insurance (Nationwide) Commuter benefits are offered in certain locations PTO, including Volunteer Days to give back to your community Annual Anniversary Perks, including professional development and sabbaticals! HomeLight Services to help you with buying and selling your home Base Pay Range: $150,000.00 - $250,000.00. Base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements. Range is dependent on the leveling process during the interview process. We are open to hiring a PM, Sr.PM, or Lead PM. Let's chat! HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request and any accommodation will be addressed confidentially.
04/02/2026
Full time
This role is based in San Francisco, CA - Office days are Wed and Thur Who We Are We're building the future of real estate - today. HomeLight is the real estate technology platform powering innovative transactions for top agents, lenders, and their clients. Our technology makes it easier to buy and sell homes, whether that's enabling clients to buy before they sell, find a top agent, or have certainty through a modern closing process. Each year, HomeLight facilitates billions of dollars of residential real estate business on its platform for thousands of agents and loan officers. Our vision is a world where every real estate transaction is simple, certain, and satisfying for all. Our team breaks barriers every day while staying committed to HomeLight's goals and core values, which is a crucial element to our shared success. About the Role We're looking for an intellectually curious and highly adaptable Product Manager to lead key initiatives at HomeLight focused on agent experience, consumer engagement, and AI innovation. In this role, you'll work on both sides of our platform-building internal tools to empower real estate agents and optimizing the consumer journey to drive engagement and conversion. You'll shape both the consumer and agent-facing sides of a platform used across thousands of real estate transactions. You'll collaborate with humble, high-caliber teammates who care deeply about users and outcomes. And you'll work on meaningful, high-visibility projects that directly impact revenue and experience. You'll lead fast-paced product development across AI-driven coaching, nurture tools, and website conversion funnels. Your work will directly influence how consumers discover, engage, and transact on our platform, while helping agents operate more efficiently and effectively. Range is dependent on the leveling during the interview process. We are open to hiring a PM, Sr.PM, or Lead PM. What You'll Do Own the roadmap for AI-powered agent enablement tools and consumer-facing product experiences. Improve agent performance with internal tools for coaching, follow-up, and lead nurture. Drive consumer conversion across key website pages and user flows using A/B testing, funnel optimization, and insights from behavioral data. Collaborate cross-functionally with engineering, design, customer success, marketing, and analytics to ship high-impact product experiences. Identify pain points in the client journey and develop solutions that improve communication and collaboration between agents, consumers, and partners. Leverage experimentation, user research, and data to iterate quickly and validate assumptions. Contribute to the ongoing evolution of our business model by identifying new opportunities for product differentiation and growth. What We're Looking For 5 plus years of product management experience, ideally in high-growth tech or SaaS environments. Strong product instincts, fast thinking, and a bias for action. Comfortable working in ambiguity and iterating quickly in response to feedback. Coachable with intellectual humility and a collaborative mindset. Experience optimizing conversion funnels, leading A/B tests, or improving digital consumer journeys. Passion for AI and its practical applications-prior AI experience is a plus, but not required. Excellent communication and stakeholder management skills. Benefits and Perks Medical (Aetna or Kaiser), Dental & Vision (Guardian) Long-Term Disability & Short-Term Disability, Hospital Indemnity Insurance, Accident Plan, and Employee Critical Illness (Guardian) 401k (Guideline), Life Insurance (Guardian) & Pet Insurance (Nationwide) Commuter benefits are offered in certain locations PTO, including Volunteer Days to give back to your community Annual Anniversary Perks, including professional development and sabbaticals! HomeLight Services to help you with buying and selling your home Base Pay Range: $150,000.00 - $250,000.00. Base pay will vary depending on several factors, such as the position, location, qualifications of the individual, market conditions, and other operational business requirements. Range is dependent on the leveling process during the interview process. We are open to hiring a PM, Sr.PM, or Lead PM. Let's chat! HomeLight is an equal opportunity employer dedicated to building an inclusive and diverse workforce, providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. We will provide accommodations during the recruitment process upon request and any accommodation will be addressed confidentially.
A technology firm in San Francisco seeks a Senior People Business Partner to serve as a strategic advisor across various functions. You will partner with senior leaders to shape organizational strategies and strengthen leadership capabilities. The role demands experience in tech-enabled organizations, with an emphasis on navigating complexity and improving team performance. This position is hybrid, requiring in-office presence at least three times weekly, and offers a competitive salary range of $162,000 - $200,000.
04/02/2026
Full time
A technology firm in San Francisco seeks a Senior People Business Partner to serve as a strategic advisor across various functions. You will partner with senior leaders to shape organizational strategies and strengthen leadership capabilities. The role demands experience in tech-enabled organizations, with an emphasis on navigating complexity and improving team performance. This position is hybrid, requiring in-office presence at least three times weekly, and offers a competitive salary range of $162,000 - $200,000.