Headquarters: Mexico URL: http://lawnstarter.com About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase. Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for. The Role You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build. What makes this role different: You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards. Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it. A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later. What You'll Own Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen. Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours. Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane. The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales. Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows. AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer. Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what. The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics. Problems to Solve Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both. Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales. Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change. Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours. What Success Looks Like (Year 1) Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem. Zero freshness incidents - stakeholders never open a stale dashboard. Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy. Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident. Governance runs as a system - documented processes that would survive you taking a month off. Requirements Who You Are Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work. AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually. A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute. Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline. An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no. This Role Is NOT A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it. A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation. A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well. A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here. Tech You'll Touch Warehouse & pipelines - Redshift, dbt, Airflow Event tracking - Segment BI - Lightdash (primary), Tableau and Metabase (sunsetting) AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale. Benefits Compensation & Benefits Base salary: $75k-$120k/year Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm. Flexible PTO: We focus on results. Take what you need. LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment. To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager-1

Headquarters: Brazil URL: http://lawnstarter.com About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase. Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for. The Role You'll be the first person at LawnStarter dedicated to data governance - the owner of whether our data can be trusted. That means the quality and freshness of our source data, pipelines, and reports; the definitions behind our metrics; the standards behind our Segment event tracking; the health of our Lightdash workspace; the data feeding our machine learning models; and the security of the data itself. This is a hands-on role. You'll work solo at first, with the Analytics team around you but nobody under you - building automation, writing checks, fixing what's broken, and putting processes in place that scale past you. If the scope grows the way we expect, this becomes the foundation of a team you'd build. What makes this role different: You're first. Governance has been everyone's side job, so what exists today is yours to reshape - keep what works, redesign what doesn't, and your standards become the company's standards. Whole-stack ownership. Source data to pipelines to dashboards and ML models - you own trust across the entire chain, not one slice of it. A live migration to shape. Lightdash is landing now. You get to set up its permissions, structure, and norms before bad habits form, instead of untangling them later. What You'll Own Data quality and freshness - automated monitoring across source data, pipelines, and reports; catching upstream schema and source changes before they break anything downstream; running incidents to resolution when they happen. Data lineage and impact analysis - a living map from production source to warehouse model to dashboard, and the process that uses it: when a production change is proposed, its downstream impact on pipelines, metrics, and reports gets assessed before it ships, not discovered after. The end-state is data contracts with engineering, so breaking changes get caught in their workflow, not ours. Lightdash - administration, workspace structure, permissions, and the rollout itself. Your job is to give the company self-serve autonomy while keeping the workspace tidy enough that people can find and trust what's there. Enablement is part of the deal - people follow standards they've been taught - and so is keeping queries fast and warehouse costs sane. The semantic layer - we just shipped it for our most critical metrics: one governed definition per metric, in code. You'll extend definition and mapping to the rest and guard the layer against uncontrolled growth as it scales. Event tracking governance - our governed Segment event catalog: reviewing new events against its standards, keeping it matched to what production actually sends, and evolving the guardrails (naming, property dictionary, drift detection) as tracking grows. AI data readiness - AI agents query our warehouse every day through Brain, our internal AI toolkit. You'll govern what data AI tools can access and keep the warehouse AI-legible: documented, consistent, and safe for an agent to query and get the right answer. Data security and privacy - access controls, PII handling and retention under US state privacy laws, and periodic reviews of who - and which AI tools - can see what. The governance system itself - the documentation, ownership models, and review loops that keep all of the above running without heroics. Problems to Solve Make the Lightdash migration a step-change, not a re-platforming We're replacing Tableau and Metabase with Lightdash. Done poorly, we trade two messy tools for one messy tool. You'll design the structure - spaces, permissions, certification, naming - that lets stakeholders self-serve at the speed the company needs without creating an uncontrolled dashboard-growth nightmare. The hard part: autonomy and tidiness pull in opposite directions, and you have to deliver both. Finish and defend the semantic layer We just shipped our semantic layer for our most critical metrics - one governed definition per metric, so "two dashboards, two numbers" can't happen. The unglamorous truth: a long tail of metrics still needs definition and mapping, and a semantic layer only stays trustworthy if someone curbs its growth. You'll own both - extending coverage and keeping one-metric-one-definition true as the layer scales. Tame event-tracking entropy Segment events power our funnels and product analytics, and they're implemented by many engineers across many teams. The guardrails exist - a governed event catalog with naming standards, a property dictionary, a review lifecycle, and automated drift detection against production. What's missing is a dedicated owner: someone who holds every new event to the standard, keeps the catalog matched to what production actually sends, and evolves the guardrails as tracking grows. Without that, entropy wins - events drift and silently degrade when features change. Get ahead of breakage instead of chasing it Today, when production data changes upstream, we too often find out when a pipeline breaks or a stakeholder flags a wrong number. You won't start from zero - an AI-powered Analytics Engineer agent already runs freshness monitoring, metric anomaly detection, and dbt-based lineage checks - but it doesn't yet run at the scale or coverage we need. You'll take detection from partial to comprehensive, extend lineage beyond dbt (Segment events and Lightdash need stitching in), and wire it into engineering's change review, so a proposed production change comes with a downstream impact assessment instead of a postmortem. The end-state is data contracts: breaking changes caught in engineering's workflow, not ours. What Success Looks Like (Year 1) Zero pipeline incidents from unannounced source-data changes - lineage and automation catch them before they break anything downstream, and production changes ship with an impact assessment instead of a postmortem. Zero freshness incidents - stakeholders never open a stale dashboard. Every area of the business manages on official, well-maintained metrics and dashboards - product, marketing, ops, and finance self-serve in Lightdash against a fully mapped semantic layer; Tableau and Metabase are retired; arguments about whose number is right don't happen. Not because you built the dashboards - because you built the system that keeps them trustworthy. Every Segment event has an owner and a standard - new events ship compliant, and degradation gets caught automatically, not by accident. Governance runs as a system - documented processes that would survive you taking a month off. Requirements Who You Are Governance is your craft, not your chore. You genuinely enjoy making data systems trustworthy and tidy - you're the person who can't leave a broken naming convention alone. This is unlikely to be a good fit if you see governance as a stepping stone to "real" analytics work. AI-native. You use AI tools (Claude Code, Copilot, ChatGPT) daily to build quality checks, write automation, triage anomalies, and document as you go - one person covering ground that used to take a team. You also see the reverse direction: AI agents consume our data daily, and making the warehouse safe and legible for them is part of governance now. This is unlikely to be a good fit if you're skeptical of AI tools or prefer to do everything manually. A hands-on senior operator. You write the SQL, debug the Airflow DAG, and configure the permissions yourself - seniority here means judgment and speed, not delegation. This is unlikely to be a good fit if your last few years were spent directing others and you'd need a team to execute. Automation-first. Your instinct for any recurring check is to build a monitor, not a checklist. This is unlikely to be a good fit if your quality practice depends on manual review and discipline. An enforcer people actually like. You'll hold engineers and analysts you don't manage to standards - which takes clear rules, good tooling that makes compliance easy, and the spine to say no gracefully. This is unlikely to be a good fit if you avoid friction or, at the other extreme, enjoy being the department of no. This Role Is NOT A people-management role - yet. You'll work alone for a while. A team may grow under you if the scope demands it, but if you need direct reports on day one, this isn't it. A policy or committee job. There are no governance councils to chair and no binders to produce. When something's broken, you fix it - with code, config, or a conversation. A BI analyst role. You won't spend your days building dashboards for stakeholders. You build the platform and guardrails that let everyone else do that well. A finished system to babysit. Much of this doesn't exist yet. If you want to operate a mature data platform rather than build one, you'll be frustrated here. Tech You'll Touch Warehouse & pipelines - Redshift, dbt, Airflow Event tracking - Segment BI - Lightdash (primary), Tableau and Metabase (sunsetting) AI tooling - Claude Code, Codex, Brain (our internal AI toolkit), and any tool that makes you more effective or efficient Observability - an AI-powered Analytics Engineer agent (freshness monitoring, anomaly detection, dbt lineage) you'll scale up, plus the quality and impact tooling you'll add around it You don't need every box checked. You need hands-on depth in the warehouse/pipeline layer and credible experience keeping a BI tool and tracking plan healthy at company scale. Benefits Compensation & Benefits Base salary: $75k-$120k/year Fully remote: This work needs deep focus, building monitors, untangling pipelines, and we trust you to manage your environment. Async collaboration is the norm. Flexible PTO: We focus on results. Take what you need. LawnStarter provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. We comply with applicable state and local laws governing nondiscrimination in employment. To apply: https://weworkremotely.com/remote-jobs/lawnstarter-data-governance-and-platform-manager

Practical technical interview tips for 2026: what to expect, how to prepare for a coding interview, what to do when you freeze, and more.

Headquarters: Remote, Canada ** Open to remote within the East Coast only** At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey? If you love working with brilliant people, being part of an energetic team, changing the world of software and you’ve got the technical skills, you might be the perfect Frog to join our Swamp! Come and join the Professional Services team and help us to continue to lead the rapidly evolving space of DevOps and DevSecOps! As a Senior Professional Services DevOps Engineer in JFrog you will...  Work with JFrog customers to design, setup and build CI/CD pipelines and DevOps platform using JFrog products and other cutting edge technologies and practices like Docker, Kubernetes, IaC and Cloud Native Team up with Sales, Customer Success, Support and Development while work directly with Devs and DevOps Pros to ensure success with the customer’s DevOps journey using the JFrog platform Setup, design and build CI pipelines with Docker, NPM, Java, Pypi etc.. (Binary Repositories, Distribution to Devices and Continuous Build Tooling) Train the open source community and JFrog customers Influence the features and roadmap of JFrog tools based on customer needs Keep current with the latest technology trends related to DevOps and the landscape of CI/CD Technology Work closely with our customers and community to build solid relationships To be a Senior Professional Services DevOps Engineer in JFrog you need... 7+ years experience with Continuous Integration tools: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM Ability to build software delivery pipelines with Docker, npm, Java, Pypi etc.. with various DevOps tools such as Git, Binary repositories management, Binary scanning, and Continuous integration Good understanding of infrastructure & operations - storage, network, computer, security, cloud (public, on-prem) Experience with Continuous Deployment and Delivery tools: Chef, Puppet, Ansible, Kubernetes Hands on experience in Linux - Mandatory Hands on experience with cloud infrastructure - AWS / Azure / GCP - Mandatory Experience with customer facing with great interpersonal and customer service oriented skills Experience with server side software on-premise and in the cloud Experience with Software Architecture design and product development a plus Uncompromising will to learn Open Source state-of-mind WHAT JFROG CAN OFFER… Open to remote work for candidates outside a reasonable commuting distance to the Atlanta office. At JFrog, base salary is only one component of our compensation package. This position has a base salary range between $130,000 to $150,000 CAD.  Base salary will be based on your skills, qualifications, experience and location. Additionally, this role may be eligible for discretionary bonuses or commission payments. This position also includes an equity package of restricted stock units (RSU).  In addition, JFrog employees are eligible to participate in our Employee Stock Purchase Plan. JFrog provides employees comprehensive benefits including medical, dental, vision, retirement, wellness and much more! JFrog is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law. To apply: https://weworkremotely.com/remote-jobs/jfrog-senior-professional-services-devops-engineer

Headquarters: Remote, US  ** Open to remote within the East Coast only** At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey? If you love working with brilliant people, being part of an energetic team, changing the world of software and you’ve got the technical skills, you might be the perfect Frog to join our Swamp! Come and join the Professional Services team and help us to continue to lead the rapidly evolving space of DevOps and DevSecOps! As a Professional Services DevOps Senior Engineer in JFrog you will... Work with JFrog customers to design, setup and build CI/CD pipelines and DevOps platform using JFrog products and other cutting edge technologies and practices like Docker, Kubernetes, IaC and Cloud Native Team up with Sales, Customer Success, Support and Development while work directly with Devs and DevOps Pros to ensure success with the customer’s DevOps journey using the JFrog platform Setup, design and build CI pipelines with Docker, NPM, Java, Pypi etc.. (Binary Repositories, Distribution to Devices and Continuous Build Tooling) Train the open source community and JFrog customers Influence the features and roadmap of JFrog tools based on customer needs Keep current with the latest technology trends related to DevOps and the landscape of CI/CD Technology Work closely with our customers and community to build solid relationships To be a Professional Services DevOps Senior Engineer in JFrog you need... 5-7+ years experience with Continuous Integration tools: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM Ability to build software delivery pipelines with Docker, npm, Java, Pypi etc.. with various DevOps tools such as Git, Binary repositories management, Binary scanning, and Continuous integration Good understanding of infrastructure & operations - storage, network, computer, security, cloud (public, on-prem) Experience with Continuous Deployment and Delivery tools: Chef, Puppet, Ansible, Kubernetes Hands on experience in Linux - Mandatory Hands on experience with cloud infrastructure - AWS / Azure / GCP - Mandatory Experience with customer facing with great interpersonal and customer service oriented skills Experience with server side software on-premise and in the cloud Experience with Software Architecture design and product development a plus Uncompromising will to learn Open Source state-of-mind WHAT JFROG CAN OFFER… Open to remote work for candidates outside a reasonable commuting distance to the Atlanta office. At JFrog, base salary is only one component of our compensation package. This position has a base salary range between $135,000 to $145,000.  Base salary will be based on your skills, qualifications, experience and location. Additionally, this role may be eligible for discretionary bonuses or commission payments. This position also includes an equity package of restricted stock units (RSU).  In addition, JFrog employees are eligible to participate in our Employee Stock Purchase Plan. JFrog provides employees comprehensive benefits including medical, dental, vision, retirement, wellness and much more! JFrog is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law. To apply: https://weworkremotely.com/remote-jobs/jfrog-professional-services-devops-engineer

Headquarters: Remote (US) At Current, Lead Engineers drive the technical direction and delivery of complex digital experiences across multiple client engagements. You’ll partner closely with cross-functional teams across strategy, design, production, and engineering to build scalable, high-quality digital platforms and applications. Lead Engineers are both strategic and hands-on technical leaders. You’re comfortable architecting solutions, guiding engineering teams, collaborating directly with clients, and jumping into execution when needed. This role is ideal for someone who enjoys solving complex technical challenges while helping shape engineering standards and best practices across the agency. What You’ll Do Lead the technical architecture, development, and delivery of complex digital projects across multiple client engagements Partner with strategy, design, production, and engineering teams to define technical approaches and delivery plans Serve as a technical lead and point of contact for client stakeholders Build scalable, maintainable, and high-performing web applications and CMS-driven platforms Develop proof-of-concept solutions and evaluate technical feasibility for integrations and new features Guide engineering standards, code quality, and architectural best practices across projects Conduct code reviews and mentor engineers across the team Assess technical health of active projects and recommend improvements or modernization opportunities Collaborate on project planning, estimation, technical scoping, and delivery strategy Contribute to internal tooling, workflows, and engineering culture initiatives Stay informed on emerging technologies and identify opportunities to improve processes and solutions What You’ll Bring 6–8 years of software or web development experience, ideally within an agency or consulting environment Strong expertise in JavaScript, PHP, and modern front-end/back-end frameworks such as React, Vue, Angular, or Node.js Advanced experience with Drupal and WordPress CMS platforms Deep understanding of Drupal architecture, APIs, custom module development, and theming Strong knowledge of the LAMP stack, including PHP and MySQL Experience building scalable applications, integrations, and API-driven solutions Experience with cloud hosting platforms such as AWS, Acquia, Pantheon, Azure, or Google Cloud Strong understanding of Git workflows, CI/CD pipelines, and deployment best practices Ability to lead technical decision-making while remaining hands-on in execution Strong communication skills and ability to collaborate with technical and non-technical stakeholders Nice to Have Experience with Docker, Kubernetes, or containerized development environments Familiarity with automated testing frameworks and DevOps practices Experience working within Agile delivery environments such as Scrum or Kanban Experience leading engineering teams or mentoring developers across projects Strong debugging, optimization, and performance-tuning experience Familiarity with Jira, Workfront, or similar project management tools Why Current At Current, we believe the best digital work happens when strategy, design, production, and technology operate as one team. We partner with ambitious brands to create digital experiences that are thoughtful, scalable, and built to drive real impact. We’re a remote-first agency with teams across the US, working collaboratively across websites, platforms, campaigns, CRM ecosystems, and digital product experiences. Our environment is fast-paced, highly collaborative, and built for people who enjoy solving complex technical challenges alongside smart, supportive teammates. You’ll have the opportunity to work across a variety of clients and technologies, contribute to meaningful digital experiences, and help shape the future of engineering within a growing agency environment. The target range of base compensation for this role is $120,000 - $145,000 annually. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and location. To apply: https://weworkremotely.com/remote-jobs/current-lead-engineer-drupal-web-platforms

Headquarters: Remote, United States At Squarespace, Customer Operations empowers users to give voice to their ideas and make it easy for them when they need help. Our team runs 24/7 with approximately 450 people between New York, Dublin, and a remote workforce. Customer Support Associates are on the front line working with our customers every single day to ensure that issues with their account are resolved in a timely manner. You will leverage your system knowledge and commitment to delivering an exceptional customer experience to not only solve problems for our users, but be a positive advocate of our brand. This remote role reports to a Customer Support Team Lead. Your first two weeks at Squarespace will include mandatory virtual training from September 28th - October 9th. To be eligible for this role you will need to live in one of the following states: Delaware, Florida, Georgia, Kansas, Michigan, Missouri, Ohio, Oregon, Tennessee, or Utah.  Applicants must have a dedicated home office setup with a reliable and stable Wi-Fi connection. Please note that we do not support digital nomad lifestyles or international work arrangements. You'll Get To… Respond to customer live chats and emails in a timely manner - live chat is our primary channel, with queue-based work making up around 90% of the role Troubleshoot and guide customers through questions and issues with their Account, Billing, Domain, or other transactional inquiries Independently meet targets across Quality, Productivity and Customer Satisfaction, in email and live chat Stay up to date on new product features and improvements Identify isolated customer experiences and escalate important issues Who We're Looking For Open availability to work a 40 hour work week that spans weekends and holidays as our customers need us 1+ years customer-facing experience required in a similar role (retail, hospitality, online support) Expertise with written communication and the ability to spot spelling and grammar errors Proficiency with decoding conversations, identifying the cause, and aligning on end goals Capability of prioritizing competing requests Familiarity with the Squarespace platform Consistent and dependable WiFi and a personal workspace that allows you to be free from distraction and fully customer focused Benefits & Perks A choice between medical plans with an option for 100% covered premiums including medical, dental, and vision Supplemental Life and Disability Insurance plans Health Savings Account with Squarespace funding Fertility and adoption benefits Headspace mindfulness app subscription Global Employee Assistance Program Retirement benefits with employer match Flexible paid time off 12 weeks paid parental leave and family care leave $100 per month remote Stipend Education reimbursement Employee donation match to community organizations 7 Global Employee Resource Groups (ERGs) Cash Compensation Range:  $18.50 USD per hour The rate for this position will vary based on job-related criteria including relevant skills, experience, and location, among other factors. Some roles may be eligible for overtime pay. About Squarespace Squarespace is a design-driven platform helping entrepreneurs build brands and businesses online. We empower millions of customers in more than 200 countries and territories with all the tools they need to create an online presence, build an audience, monetize, and scale their business. Our suite of products range from websites, domains, ecommerce, and marketing tools, as well as tools for scheduling with Acuity and creating and managing social media presence with Bio Sites and Unfold. Our team of more than 1,700 is headquartered in New York City, with offices in Dublin, Ireland, and Aveiro, Portugal. For more information about our company, visit https://www.squarespace.com/about/careers. Our Commitment Today, more than a million people around the globe use Squarespace to share different perspectives and experiences with the world. Not only do we embrace and celebrate the diversity of our customers, but we also work toward the same in our employees. At Squarespace, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are proud to be an equal opportunity workplace. #LI-RemoteThank you in advance for providing the following details about your work history from your resume! This helps us ensure that your candidate information is accurate and consistent during the hiring process.   Squarespace will never solicit your personal banking information or ask you to transfer money in connection with a job offer or interview. We also will not reach out to you via phone or SMS without your permission or knowledge.   If you plan to use AI in any capacity during your candidate journey, please review our Candidate AI Policy. To apply: https://weworkremotely.com/remote-jobs/squarespace-customer-support-associate-remote

Headquarters: Remote (US) At Current At Current, we partner with ambitious brands to create digital experiences that drive meaningful business results. By bringing together strategy, design, production, and technology, we help organizations solve complex challenges and build experiences that create lasting impact. We're a remote-first agency that thrives on collaboration, curiosity, and strong client partnerships. As we continue to grow, we're looking for a relationship-driven business development professional who can identify new opportunities, build trusted client relationships, and help expand Current's portfolio of work. What You'll Do Own and grow an outbound business development pipeline by identifying and pursuing new client opportunities across multiple industries Qualify and manage inbound inquiries, ensuring opportunities align with Current's capabilities and strategic goals Build trusted relationships with prospective clients from initial outreach through contract execution Uncover client challenges, business goals, and opportunities, translating them into thoughtful solutions that align with Current's services Partner with strategy, creative, production, and engineering teams to develop compelling proposals and pitch presentations Lead outreach efforts through email, networking, referrals, and other prospecting channels Develop customized pitch narratives that clearly communicate Current's value and differentiate our approach Maintain accurate pipeline reporting and opportunity tracking within Nutshell CRM and internal systems Provide leadership with regular updates on pipeline health, forecasting, and win/loss insights Research emerging industries and target markets to identify new areas for agency growth Ensure smooth transitions from business development to delivery teams through organized project handoffs What You'll Bring 5–7 years of business development or sales experience, ideally within a digital agency, marketing services, consulting, or digital transformation environment Demonstrated success building and managing a sales pipeline while consistently achieving or exceeding revenue goals Experience owning the full sales cycle from prospecting through contract negotiation and close Excellent relationship-building skills with the ability to establish credibility and trust quickly Strong discovery and consultative selling skills with the ability to identify client challenges and recommend strategic solutions Outstanding written, verbal, and presentation skills with the ability to tailor messaging for different audiences Highly organized with strong pipeline management, forecasting, and follow-through Comfortable working independently while collaborating cross-functionally across multiple teams Adaptable and resourceful, with the ability to navigate ambiguity and shifting priorities Nice to Have Experience selling digital transformation, website, product, CRM, or marketing services Existing network within marketing, digital, or technology industries Experience developing agency proposals, RFP responses, or pitch presentations Tools Required Google Workspace (Drive, Docs, Sheets, Gmail, Calendar) Slack Airtable Preferred Nutshell CRM Figma Claude (AI) Why Current At Current, you'll play a key role in shaping the agency's future growth. You'll have the opportunity to build meaningful client relationships, help bring exciting new partnerships to life, and collaborate with an experienced team of strategists, designers, producers, and technologists who care deeply about doing great work. We're a remote-first agency with teams across the U.S., working collaboratively across websites, platforms, campaigns, CRM ecosystems, and digital product experiences. Our environment is fast-paced, highly collaborative, and built for people who enjoy solving complex business challenges alongside smart, supportive teammates. This is a temporary-to-permanent opportunity. The role will begin as a hourly position, with the opportunity to transition into a full-time employee based on business needs and individual performance. The target hourly compensation range for the temporary portion of this role is $60.00 -$70.00 per hour. If converted to full-time, the target range of base compensation for this role is $125,000 - $140,000 annually. Actual compensation is influenced by a wide array of factors, including but not limited to skill set, level of experience, and location. To apply: https://weworkremotely.com/remote-jobs/current-business-development-lead-digital-agency

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