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Location: Ilion, NY Urology Nurse Practitioner/Physician Assistant Location: Facility 1: The Grand at Mohawk Valley – Ilion, NY Facility 2: The Grand at Barnwell – Valatie, NY Facility 3: The Grand at Guilderland – Altamont, NY Facility 4: The Grand at Utica – Utica, NY Facility 5: The Grand at Maple City – Hornell, NY Facility 6: The Grand at Rome – Rome, NY Facility 7: The Grand at Chittenango – Chittenango, NY Facility 8: Masonic Care Community of New York – Utica, NY Schedule: Full-Time Salary per annum: $150,000 - $200,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Travel between assigned facilities is required Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive compensation per annum : $150,000 - $200,000 Health Dental Vision Sign-on Bonus Company-Sponsored Life Insurance 401K Short and Long-term Disability Paid Time Off Paid Up-To-Date Subscription Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Brooklyn, NY Urology Nurse Practitioner/Physician Assistant Location: Brooklyn, NY Schedule: Full-Time (4 days per week) Salary per annum: $125,000 - $175,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $125,000.00 - $175,000.00 Health Dental 401K Vision Company-Sponsored Life Insurance Paid Time Off Malpractice Insurance Paid - Subscription to UpToDate Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Parsippany, NJ Urology Nurse Practitioner/Physician Assistant Location: Sewell, NJ Schedule: Part-Time (2 days/ week) Salary per annum: $60,000 - $90,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum : $60,000.00 - $90,000.00 Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Swansea, MA Urology Nurse Practitioner/Physician Assistant Location: Swansea, MA Schedule: Part-Time Salary per annum: $30,000 - $90,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $30,000.00 - $90,000.00 Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Newburyport, MA Urology Nurse Practitioner/Physician Assistant Location: Newburyport, MA Schedule: Part-Time Salary per annum: $60,000 - $90,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $60,000.00 - $90,000.00 Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Boston, MA Urology Nurse Practitioner/Physician Assistant Location: Boston, MA Schedule: Full-Time (5 days per week) Salary per annum: $150,000 - $200,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum: $150,000.00 - $200,000.00 Health Dental Vision 401K Company-Sponsored Life Insurance Paid Time Off Malpractice Insurance Paid - Subscription to UpToDate Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Bradenton, FL Urology Nurse Practitioner/Physician Assistant Location: Bradenton, FL Schedule: Part-Time (2 days per week) Salary per annum: $60,000 - $90,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum : $60,000.00 - $90,000.00 Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most. #INDL

Location: Remote (US); San Francisco, CA; New York, NY (HQ) Workplace: Remote ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Technical Consultants are on the frontlines working to establish partnerships with Ramp customers, and act as a liaison between customers and our internal technical teams. You’ll be partnering with Customer Activation & Account Management teams to identify, prioritize and build financial solutions for new and existing customers so that Ramp continues to scale with their needs. You will act as the technical and financial subject matter expert for our customers, and design solutions that address the customer’s needs through Ramp and partner integrations. You will partner with Post-Sales teams to drive Product, Design and Engineering teams’ roadmaps to evolve Ramp to better serve our customers at scale and offer increasingly higher value to the customers. You will define the customer’s financial & technical success criteria from onboarding through activation and expansion. You will represent Product, Design and Engineering externally and will operate with deep conviction and understanding of Ramp’s technical capabilities. The role requires technical skills necessary to understand and educate on robust accounting features, and integrate them across all the touchpoints and surface area of a customer. This role is focused on Commercial customers, supporting high-growth companies with standardized financial workflows, core ERP integrations, and repeatable implementation patterns that drive fast time-to-value. WHAT YOU'LL DO - Act as a technical advisor to customers and Ramp’s internal teams while supporting high-value implementations and expansion opportunities by guiding integration, configuration, and system design - Partner with Customer Activation and Account Management teams to assess customer requirements and propose scalable solutions; particularly involving ERP, HRIS, and API integrations - Collaborate with onboarding specialists and implementation leads to support technical workstreams (not run them), ensuring faster time-to-value and customer success - Work with customers to problem-solve technical hurdles and propose effective product implementations for each customer with a deep understanding of the full range of integration and configuration options - Participate in technical discovery to understand customer systems and workflows, and recommend best-fit Ramp architecture. This includes when and how to use Ramp’s API - Be a subject matter expert across our HRIS and Accounting integration partners, partnering with Sales, Product and partners to advocate for integration development in-line with customer needs - Troubleshoot integration blockers and guide customers through complex configuration decisions without writing code directly - Contribute to internal documentation and tooling that scales Ramp’s ability to support integration use cases across a growing customer base - Influence Ramp’s product roadmap by channeling customer pain points and feedback to the Product and Engineering teams WHAT YOU NEED - Bachelor's degree in computer science, engineering, finance, business, or a related field - 2+ years in technical consulting, solutions engineering, implementation, or a similar customer-facing technical role, ideally in a SaaS or fintech environment - Familiarity with ERP systems (e.g. NetSuite, Sage Intacct, Microsoft Dynamics, Oracle Fusion) and finance/accounting workflows - Comfort working with APIs, integration logic, and system architecture and being able to explain those concepts to finance and operations stakeholders - Strong communication skills: able to translate complex technical solutions into business value, guide customers toward scalable approaches, and diplomatically steer conversations when requests are misaligned with best practices or product capabilities - Collaborative mindset and ability to work cross-functionally with Sales, Customer Success, Product, and Engineering - Exceptional organization and problem-solving skills, with a bias toward action and a high level of ownership - Thrives in ambiguity and fast-paced environments; adaptable and resourceful as we scale Ramp’s upmarket motion BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Danbury, CT Urology Nurse Practitioner/Physician Assistant Location: Danbury, CT Schedule: Full-Time (5 days per week) Salary per annum: $150,000 - $200,000 About Infinite Medical P.C. Infinite Medical P.C. is a nationwide network of advanced practice providers and specialty clinicians committed to delivering high-quality, proactive care directly to residents in skilled nursing and long-term care facilities.  Our partnership with MedElite Healthcare Management Group empowers us to focus on what matters most: providing compassionate, personalized care that meets the unique needs of each resident. Together, we champion continuous innovation and collaboration in our shared mission to redefine senior care across the country. Job Summary We are seeking a friendly and compassionate Urology Nurse Practitioner/Physician Assistant to join our team. As a Urology Nurse Practitioner/Physician Assistant, you will play a crucial role in providing comprehensive care to patients with urological conditions, including urinary tract infections, kidney stones, prostate issues, and other urological disorders. This is an exciting opportunity to make a difference in the lives of patients while working alongside a dedicated team of healthcare professionals. Responsibilities Conduct comprehensive patient assessments, including medical history, physical examinations, and diagnostic testing Develop and implement individualized treatment plans based on patient needs and medical guidelines Monitor and evaluate patient progress, adjusting treatment plans as necessary Provide patient education, counseling, and support on disease management, medication adherence, and lifestyle modifications Collaborate with physicians, nurses, and other healthcare professionals to ensure coordinated and efficient patient care Diagnose and treat residents with urology conditions, diseases, and infections Document patient encounters, including assessments, interventions, and outcomes, using electronic medical record systems Requirements Minimum 6 months of experience in long-term care or a skilled nursing facility Active and unrestricted Nurse Practitioner, Physician Assistant, or Physician license DEA License CPR BCLS/BLS certified Must hold a Master's Degree in Nursing Completed a degree from an accredited Nurse Practitioner program A year of experience in Urology Preferred experience in Documenting EMR (Sigma, Visual, PCC, etc.): training provided Must have great organizational and time management skills. Prolonged standing/walking. Occasional lifting up to 20 lbs. Computer work. Lifting/moving patients. Prolonged sitting. Benefits Competitive salary per annum : $150,000.00 - $200,000.00 Health Dental Vision 401K Company-Sponsored Life Insurance Student Loan Repayment Program Paid subscription to Uptodate Paid Time Off Malpractice Insurance Why Work With Us? Make a meaningful impact on the lives of seniors Work in a collaborative, mission-driven environment Enjoy work-life balance Equal Opportunity Employer Infinite Medical P.C is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. Infinite Medical P.C is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. Ready to Make a Difference? Apply today and help us deliver compassionate, personalized care where it matters most.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY 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 Anthropic's Infrastructure team is seeking a Data Center Energy Lead to secure power capacity and accelerate energy delivery for our rapidly expanding AI compute footprint. You'll work at the intersection of energy markets, utility operations, and AI infrastructure needs, leading multi-hundred megawatt procurement efforts and building strategic relationships with utilities, grid operators, and regulators across multiple jurisdictions. This role is essential to ensuring Anthropic can scale compute capacity efficiently while navigating complex energy market dynamics and regulatory environments to achieve the speed and scale required for frontier AI development. Responsibilities: Lead energy procurement and markets strategy to secure multi-hundred megawatt power capacity for AI infrastructure, structuring utility partnerships and commercial agreements that prioritize speed-to-energization and scale Own utility and regulatory stakeholder management across multiple jurisdictions, building strategic relationships with ISOs, transmission operators, and utilities to accelerate interconnection timelines and unlock constrained capacity Drive energy markets and policy strategy for AI compute facilities, monitoring regulatory developments and engaging policymakers to address grid capacity challenges and expedite approval processes for critical infrastructure Partner with engineering and delivery teams to translate energy market dynamics and utility constraints into actionable capacity acceleration strategies that align procurement schedules with aggressive project timelines Develop deep market intelligence on regional power availability, transmission constraints, and interconnection queue dynamics to inform site selection and deployment strategy Structure innovative commercial frameworks and partnership models that enable faster power delivery and mitigate grid capacity risks across Anthropic's datacenter portfolio You may be a good fit if you: Have 15+ years of experience in energy procurement, utility development, or power markets for large-scale infrastructure projects Have deep expertise in wholesale power markets, utility interconnection processes, and transmission system planning Have experience securing 100+ MW of power capacity and navigating complex utility service agreements or power purchase agreements or other offtake agreement structures Are proficient in analyzing energy market dynamics, regulatory frameworks, and grid constraints to inform strategic decision-making Have strong stakeholder management skills and experience building relationships with utilities, ISOs/RTOs, regulators, policymakers and critical equipment vendors. Have excellent communication skills and can translate complex grid and regulatory dynamics into actionable business strategies for technical and non-technical audiences Strong candidates may also have some of the following: Past experience with energy procurement specifically for datacenters, high-performance computing, or AI/ML infrastructure Familiarity with hyperscale infrastructure requirements and the unique power demands of large-scale AI training and inference workloads Experience with regulatory affairs, energy policy advocacy, or engagement with state/federal energy commissions (FERC, state PUCs) Background in transmission planning, interconnection study processes, or grid capacity analysis Understanding of emerging grid technologies (energy storage, demand response, distributed energy resources) and how they can accelerate capacity delivery Track record of structuring creative solutions to overcome grid constraints and compressed timelines in competitive power markets The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Saugerties, NY 📍 Location: Saugerties, NY 🕒 Schedule: After 4:30 PM on weekdays and weekends; 25 hours per week 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking an ABA Paraprofessional (BT) for a 1:1 in-home case in Saugerties. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ Patience, energy, and positivity ✅ Reliability and consistency 🗣️ English speaking What we offer 💰 Competitive pay 💙 Ongoing guidance from a virtual BCBA 📩 Apply today to be considered.

Location: Munich, Germany 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 Anthropic is building the team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it. As the first FDE Manager in DACH, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments. This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction. This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow. Responsibilities Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts. Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers. Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities. Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work. Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems. Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed. Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field. Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned. Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning. Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts. You may be a good fit if you have 10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting. 2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers. Experience building organizations from 0->1, not just inheriting an existing one. Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics. Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers. Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist. Why this role matters You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE DX Engineering shows developers what building on Render is actually like. We make the tutorials, demo apps, templates, and videos that get developers to try Render, and we build the agent skills and internal tooling that keep that work running at scale. We're also often the first real users of what Render ships. We test major releases end to end, the way a customer would, and tell Product and Engineering where they fall down before customers hit it. As a DX Engineer, you'll own technical content and code from the first idea to a working sample app, docs, and video. You'll work with DevRel, Product Marketing, Product, and Engineering, and you'll have real influence over how developers and coding agents discover and adopt Render. This is a remote role within the US, with the option to work out of our headquarters in San Francisco. WHAT YOU'LL DO - Build tutorials, demo apps, and videos that show developers how to build real things on Render, with a focus on AI applications, agents, and Render's AI runtime products like Render Workflows. - Own Render templates and the render-examples GitHub org for the frameworks developers ask about most. Everything you ship has to deploy and run. - Build agent skills, automation, and internal tools so the team stops doing repetitive content and ops work by hand. - Improve how Render shows up in LLM and answer-engine results. Dig into why Render is missing from an answer it should be in, then ship the content or fix that changes it. - Alpha test new releases end to end and write up what breaks, with enough detail for Product and Engineering to act on. - Contribute code to developer-facing surfaces like the Render CLI, MCP server, SDKs, and docs. - Shape the content roadmap and quality bar with Product, Engineering, and Marketing, and iterate on feedback and metrics. - Set technical direction for DX Engineering's content and tooling, and raise the bar for the rest of the team through reviews, standards, and your own work. WHAT WE'RE LOOKING FOR - 8+ years building developer content, or working as an engineer who teaches, at a developer tools or infrastructure company. - Experience setting technical direction and raising the bar for a team. - Full-stack engineering experience. Strong backend skills (Node.js/TypeScript, Python, Postgres), comfort with Docker and containers, and enough frontend skill to ship sample apps end to end. - Deep, hands-on knowledge of AI agents and the workloads they run. You've built and deployed agents that call tools, run code in sandboxes, and handle long-running tasks with retries and state, and you know what infrastructure each of those needs. - Experience with the agent stack: MCP servers, agent frameworks, LLM APIs, evals, and durable workflow or background job systems. - Daily fluency with coding agents like Claude Code, Codex, and Cursor, and the taste to ship quality work at a steady cadence with them. - Excellent technical writing. You know what world-class developer content looks like. - A track record of owning projects end to end with little direction. - Strong intuition for developer tools and a love of well-crafted user experiences. NICE-TO-HAVES - You've used Render before, professionally or on side projects. - Experience with AEO or SEO, or with measuring how content performs in LLM answers. - A public body of work: talks, a YouTube channel, popular open source repos, or a well-read blog. - Experience presenting workshops and technical talks. SOME PROJECTS YOU MIGHT WORK ON - A video series on building and deploying an MCP server on Render. - A sample app for an upcoming launch, built with Product and Engineering ahead of release. - An agent skill that turns a tutorial into a tested, deployable template. - Tracing why coding agents fail on a specific docs page, then shipping the fix. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Tennessee - Murfreesboro About Cottonwood Residential Cottonwood Residential is a forward-thinking, fully integrated real estate company focused on the multifamily sector. We combine deep expertise in asset and property management with a commitment to operational excellence across a growing national portfolio. We don’t just manage communities — we elevate them. About the Role The Property Manager is responsible for the overall performance, operations, and financial success of a multifamily community. This role leads all on-site functions, including leasing, resident experience, financial management, and property maintenance, while ensuring alignment with Cottonwood Residential’s standards and objectives. The Property Manager drives a culture of service excellence, accountability, and collaboration. This role is ideal for a results-driven professional who can balance financial performance, team leadership, and resident satisfaction to maximize asset value and deliver strong operational outcomes. Key Responsibilities Financial & Asset Management Manage the financial performance of the community, including operating within budget and achieving revenue and expense targets Oversee rent collection, delinquency management, and bad debt recovery, including participation in legal proceedings as necessary Review and approve invoices to ensure accuracy, proper coding, and budget alignment Assist the Regional Manager in developing and managing the annual operating budget Analyze financial reports, occupancy trends, and market data to drive informed decision-making Operations & Property Oversight Oversee the daily operations of the community, ensuring efficiency, organization, and compliance with company policies Conduct regular property inspections to identify maintenance needs, safety concerns, and opportunities for improvement Oversee Self-Guided Tour operations, including unit readiness, signage, and daily inspections Coordinate with maintenance teams and external vendors to ensure timely completion of repairs and capital needs Maintain accurate and complete records, including resident files, vendor contracts, property inventory, and compliance documentation Ensure all administrative systems and property management data are accurate and up to date Leasing, Marketing & Resident Experience Develop and execute marketing and leasing strategies to achieve occupancy and revenue goals Conduct regular market surveys and competitive analysis to inform pricing and positioning Oversee leasing performance, ensuring effective use of sales techniques and marketing tools Implement resident retention programs to drive renewals and satisfaction Ensure a high level of responsiveness to resident requests and service needs Plan and support resident engagement initiatives and community events Team Leadership & Development Lead, coach, and develop all on-site office and maintenance team members Oversee hiring, onboarding, training, scheduling, and performance management for the community team Foster a strong team culture focused on accountability, collaboration, and service excellence Provide ongoing feedback, coaching, and development opportunities to support team success Set clear expectations and monitor performance against property and company goals Compliance & Risk Management Ensure compliance with company policies, safety standards, and all applicable local, state, and federal regulations Promote safety awareness and ensure adherence to OSHA standards across the community Identify and address potential risks, safety hazards, and operational concerns proactively Maintain appropriate documentation for permits, licenses, and regulatory requirements What You Bring 3 + years of multifamily Property Manager experience required High school diploma or GED required; college degree preferred Professional designations such as CAM, ARM, or CCRM preferred Strong financial acumen, including budgeting, reporting, and expense management Solid understanding of leasing, marketing strategies, and resident retention Excellent communication, leadership, and interpersonal skills Strong organizational skills with attention to detail and ability to manage multiple priorities Effective problem-solving skills with the ability to make sound decisions in a fast-paced environment Proficiency in Microsoft Office Suite Experience with Entrata, REBA, or similar systems Self-starter with strong initiative, accountability, and a results-driven mindset Flexibility to work extended hours, including time prior to office opening Ability to walk the property, stand for extended periods, and work both indoors and outdoors as needed Physical Requirements Stand or walk or sit alternatively depending on the day’s needs. Estimate 70% of time is spent on feet and 30% sitting at a desk Bending, stooping, and squatting for filing and picking up litter around the property frequently Ability to climb stairs frequently needed to show and inspect the property Pushing and pulling doors/cabinets to inspect the property frequently Reaching above the shoulders for supplies and inspecting the property frequently Writing/typing for communication frequently Grasping/turning for telephone and doorknob use frequently Finger dexterity to operate office equipment frequently Lifting/carrying 10-25 lbs. occasionally needed Constant need for vision in small detail and beyond arm’s reach to view computer screens, reports, forms, inspecting property, etc. Constant need for hearing to communicate with staff, vendors, residents, and prospects in person and on the telephone Why Cottonwood Residential? We don’t just manage properties — we elevate them. At Cottonwood Residential, you’ll join a culture that values innovation, collaboration, and operational excellence. You’ll work alongside a team that is passionate about delivering exceptional living experiences while supporting your professional growth. We offer a competitive compensation and benefits package and opportunities to grow within a dynamic, expanding organization. Cottonwood Residential is an equal opportunity employer. Applicant Communication & AI Disclosure Cottonwood Residential uses AI-assisted technology and authorized recruiting partners to support our hiring process. By applying, you acknowledge that you may communicate with AI-powered systems during scheduling, candidate outreach, or preliminary interviews, and that interviews may be recorded, transcribed, and summarized for evaluation by our hiring team. By applying, you consent to receiving communications regarding your application by phone, text message, email, or other electronic means. Hiring decisions are solely made by Cottonwood Residential. At Cottonwood Residential, we're committed to creating an exceptional customer experience through innovation and service. As an early adopter of Self-Guided Tours, we've made apartment searching more convenient and accessible for our customers. We're looking for team members who are eager to learn, embrace new ideas, and create meaningful connections with every interaction. Join us in helping every customer feel Home at Last!

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas About the role Our centralized Developer Go-to-Market (GTM) organization functions as a "speedboat" to maintain focus, control direction, and iterate quickly. Our mission is to build long-term relationships with developers by addressing their unique needs and challenges with specialized attention and resources across Marketing, Developer Relations, Growth Programs, and Sales. Within Developer GTM, the Revenue Engineering team exists to build and evolve GTM infrastructure to support Cloudflare’s transition into a major cloud provider and drive Cloudflare’s AI transformation. We operate across data platform development, application platforms, core pipeline evolution, and novel internal product delivery enabling teams across the organization to move fast without accumulating unmaintainable technical debt. What You'll Do As a hands-on "player-coach" Engineering Manager on the Revenue Engineering team, you will balance technical leadership with direct execution, actively writing code, building pipelines, prototyping novel GTM applications, and debugging alongside your team. You will lead, coach, and grow a team of high-performing software and data engineers building mission-critical GTM software, data platforms, and internal developer tools on top of Cloudflare's own developer platform (Workers, Kubernetes, Go, TypeScript, SQL, and MCP). You will take ownership of our core platform strategy, balancing fast-paced feature delivery with platform maintainability, data integrity, and operational excellence. In this role, you will: Lead and Grow Engineering Talent (Player-Coach Model): Recruit, mentor, and develop a diverse team of talented software and data engineers while leading by example through active code contributions, hands-on technical guidance, and unblocking engineers directly in the codebase. Architect & Build Platform Primitives: Set the technical vision and actively write code for our GTM Data Platform, App Platform, and Model Context Protocol (MCP) integrations in Go and TypeScript, enabling internal teams to build and scale maintainable solutions. Prototype & Deliver High-Impact Applications: Directly build and prototype novel GTM applications (Signals, Customer Health, Cost Explorer), evolve core pipelines (Salesforce enrichment, customer contact ingestion, real-time consumption billing visibility), and implement data infrastructure migrations. Empower & Advise Business Builders: Act as a technical advisor and partner to non-technical teams, teaching them to self-serve using supported platform primitives rather than creating isolated, unmaintainable silos. Drive Operational & Engineering Excellence: Establish best practices for service observability, testing, schema evolution, and deployment while mitigating bus-factor risks and single points of failure across legacy and new systems. Cross-Functional Collaboration: Partner closely with leaders across Sales, Marketing, Developer Relations, BI, Security, and Product to align on business priorities, unblock dependencies, and turn complex business challenges into reliable software solutions. Examples of Desirable Skills, Knowledge, and Experience Hands-on Experience: Minimum 8 years of relevant software engineering experience, including at least 3 years in a formal engineering management or technical leadership role with a strong track record of remaining hands-on in the code. Technical Depth & Contribution: Strong background writing production code and debugging distributed systems, data pipelines, and web APIs across Go, TypeScript, Workers, Kubernetes, SQL, and MCP. Leadership & Team Building: Proven track record of recruiting, coaching, and developing senior technical talent while fostering an inclusive, high-trust engineering culture. Platform & Systems Ownership: Experience owning end-to-end service lifecycles, operational monitoring, incident management, and architectural strategy for complex internal or external platforms. Pragmatic Business Execution: Ability to navigate ambiguous problem spaces, balance rapid prototyping ("learning mode") with scalable platform architecture ("scale mode"), and translate business needs into robust technical roadmaps. Cross-Functional Communication: Exceptional collaboration skills with a track record of partnering effectively with non-technical business partners, GTM stakeholders, and executive leadership. Bonus Points Cloudflare Developer Platform: Experience building on or integrating with Cloudflare Workers, edge computing platforms, or serverless architectures. GTM & Growth Systems: Background in SaaS, Product-Led Growth (PLG) motions, sales analytics, or working with CRM/marketing automation integrations (Salesforce, Marketo). Applied AI & MCP: Hands-on experience developing Model Context Protocol (MCP) servers, LLM/AI integrations, or AI-driven developer workflow automation. Data Platform Scale: Experience with modern columnar databases / lakehouses (ClickHouse, DuckDB, BigQuery, Snowflake, Iceberg) or analytics engineering workflows. Compensation Compensation may be adjusted depending on work location. Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: London Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE ROLE We're hiring a Vice President to own and lead our EMEA business. You'll inherit a team of 20+ quota-carrying Commercial and Enterprise AE's across four hubs: London, Amsterdam, Munich, Stockholm and be responsible for building the management layer, operating model and partner ecosystem that takes the EMEA region from early traction to consistent, scaled revenue. This is a second-line leader role that will see you report directly to the Global Vice President of Sales and operate with meaningful autonomy across pipeline, hiring, partner relationships and executive engagement. WHAT YOU'LL OWN Team leadership and performance - Lead, develop and expand the Sales teams across EMEA from day one - Run weekly pipeline reviews, deal coaching sessions, and forecast calls with precision and consistency - Identify and close performance gaps early: coach the team to close larger deals faster and navigate complex, multi-stakeholder cycles - Build a culture of accountability and development; create clear career paths for senior individual contributors, including first-line management opportunities as the team scales Revenue - Own the EMEA number: quarterly and annual quota attainment across all sub-regions - Build and maintain a healthy pipeline that supports consistent delivery and predictable forecasting to leadership - Engage directly in strategic deals as executive sponsor, bringing credibility and commercial weight to enterprise negotiations - Establish the region's strongest lighthouse accounts across key industry verticals, building referenceable wins that anchor LangChain's market position in EMEA Hiring - Manage multiple open roles across EMEA simultaneously: owning the full hiring lifecycle across pipeline, assessment and closing - Partner with the internal talent team to move at pace without compromising on quality - Define the headcount profile for EMEA beyond Q4 and feed into H1 planning, ensuring the team is built ahead of the revenue curve Partner ecosystem - Owns hyperscaler and GSI/RSI relationships (AWS, Google Cloud, Azure, and key SIs) across EMEA - Develop a structured partner motion that generates qualified pipeline and supports deal acceleration, reduces risk and drives expansion - Represent LangChain at partner QBRs and executive engagements in region Market presence - Represent LangChain as a keynote-ready leader at partner events, customer engagements, and industry conferences across the region: including KubeCon, Money20/20, Nordic AI summits, and customer EBCs - Build LangChain's brand with technical buyers, CIOs, and innovation leaders across Northern Europe's most important enterprise accounts - Bring intelligence on the EMEA markets back to the Global VP of Sales and product teams to inform roadmap and go-to-market positioning WHAT WE'RE LOOKING FOR Experience - 10+ years in enterprise SaaS sales, with at least 5+ years in a regional or sub-regional leadership role managing quota-carrying AE's - Demonstrable track record of hitting and exceeding regional revenue targets across multiple quarters - Experience managing teams across multiple countries and time zones, with the cultural intelligence to operate across EMEA - Background selling to technical buyers (engineering leaders, CTOs, platform teams): you understand how developer tools get evaluated and adopted - Experience in the AI, data, or developer tooling space strongly preferred; familiarity with the LangChain ecosystem is a meaningful plus Leadership - You've run teams of 20+ AEs before and know the difference between managing and coaching - You can hold a forecast conversation with a VP and a deal coaching session with an AE in the same afternoon and add value in both - You hire well and fast. You know what good looks like for enterprise AE profiles and you can run structured hiring processes across four open roles simultaneously - You've built or contributed to a partner motion before: you understand what "partner pipeline" means in practice, not just in theory Operating style - You bias toward action. You don't wait for a playbook to be handed to you: you build it - You're comfortable with ambiguity and early-stage scale. This is not a role with a fully defined motion; you'll shape a significant part of it - You communicate clearly and directly, to your team and to leadership - You're present in the market. You attend the right events, know the right people and build relationships that translate into pipeline and retention COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.