Client Support Representative

🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to transform data capabilities into intuitive product solutions. You will shape product direction, productionize data concepts, and drive high engineering standards in a data-heavy environment. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading ambiguous, customer-facing product initiatives to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Strong proficiency in Node.js, Strong proficiency in React, Experience with Python, Experience designing APIs and backend services, Experience with modern web application architecture, Ability to write high-quality, maintainable, and well-tested code, Strong technical communication skills, Collaborative leadership and mentoring ability 📃 Skills: TypeScript, React, Node.js, Python, APIs, Snowflake, dbt, Kafka, Flink, Materialize, AI 🏢 Description: Built's Mission: Connect and simplify doing business in real estate.Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry's most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.__________________________Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where Built's data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need. You will help overhaul Built's application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed. WHAT YOU'LL DO Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production. Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value. Full-stack web application experience, with backend-leaning product engineering depth. Strong experience with TypeScript, Node.js, React, and modern web application architecture. Experience with Python or demonstrated ability to work effectively in Python-based systems. Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership. Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis. Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension. Bias toward customer value over technology for technology's sake. PREFERRED Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes. Experience with AI or agentic product experiences. Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter. Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration. Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Built's salary range for this position is $170,000 - $245,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.__________________________Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], health, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies ("Controller"). Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.

🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to turn data capabilities into intuitive product solutions. You will shape architecture, drive engineering best practices, and deliver production-grade data applications. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading customer-facing product initiatives from concept to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Node.js, and React, Experience working with Python-based systems, Experience designing APIs and production backend services, Ability to write maintainable, testable, high-quality code, Strong technical design and architecture communication skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Architecture, Testing, Observability, Snowflake, dbt, Kafka, Flink, Materialize 🏢 Description: Built is looking for a Staff Software Engineer to join the Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. WHAT YOU'LL DO - Lead the design and delivery of the application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. - Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. - Partner with Product to shape ambiguous ideas into useful customer workflows and offer practical alternatives. - Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. - Bring strong software engineering practices through technical design, code review, mentoring, testing, and delivery patterns. - Help data engineers expand into software engineering work across frontend, backend, APIs, and production readiness. - Collaborate where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. - Use customer signals, usage data, product feedback, and support insights to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED - Staff-level software engineering experience leading ambiguous, customer-facing product initiatives from idea through production. - Strong product judgment and ability to assess customer value in workflows and requirements. - Full-stack web application experience with backend-leaning depth. - Strong experience with TypeScript, Node.js, React, and modern web application architecture. - Experience with Python or ability to work effectively in Python-based systems. - Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. - Ability to write high-quality, maintainable code with strong testing, readability, observability, and operational ownership practices. - Strong technical communication skills including design documentation and architecture discussions. - Collaborative leadership and mentoring ability. PREFERRED - Experience building data-heavy product experiences such as analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. - Experience working with data engineers, analytics engineers, or data scientists to productionize prototypes. - Experience with AI or agentic product experiences. - Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. - Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or similar domains. - Experience with product instrumentation, activation metrics, experimentation, and usage-based iteration. - Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Benefits - Salary range: $170,000 - $240,000 USD per year. - Equity as part of total compensation. - Medical, dental, and vision coverage. - Unlimited PTO policy. - 401k with match and expedited vesting. - Learning grant program for professional development.

🏢 Summary: Staff Software Engineer on the Data Platform team leading the design and delivery of customer-facing data product experiences across full-stack applications. The role focuses on building application layers, APIs, and workflows that turn data platform capabilities into intuitive, production-grade products. Requires strong product judgment and full-stack expertise to shape ambiguous ideas into high-value customer solutions. 🗂️ Requirements: Staff-level software engineering experience, Experience leading ambiguous, customer-facing product initiatives to production, Strong full-stack web application development experience, Strong TypeScript, Node.js, and React experience, Experience working in Python-based systems, Experience designing APIs and backend services, Ability to write high-quality, testable, maintainable code, Strong technical communication and architecture skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Snowflake, dbt, Kafka, Flink, Materialize, AI 🏢 Description: Built's Mission: Connect and simplify doing business in real estate.Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry's most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.__________________________Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where Built's data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need. You will help overhaul Built's application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed. WHAT YOU'LL DO Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production. Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value. Full-stack web application experience, with backend-leaning product engineering depth. Strong experience with TypeScript, Node.js, React, and modern web application architecture. Experience with Python or demonstrated ability to work effectively in Python-based systems. Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership. Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis. Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension. Bias toward customer value over technology for technology's sake. PREFERRED Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes. Experience with AI or agentic product experiences. Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter. Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration. Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Built's salary range for this position is $170,000 - $245,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.__________________________Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], health, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies ("Controller"). Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.

🏢 Summary: Remote Technical Support Representative role providing phone, chat, and email support for a SaaS student housing platform, troubleshooting technical issues and resolving customer inquiries. The position focuses on high-quality service, cross-functional collaboration, and effective problem-solving in a fast-paced environment. Standard schedule is 8AM–5PM Mountain Time with minimal travel. 🗂️ Requirements: 1+ years customer service experience in call center, software support, or technical support, High School Diploma or GED, Strong verbal communication skills, Strong written communication skills, Ability to manage multiple customer interactions in fast-paced environment, Strong troubleshooting abilities, Analytical and problem-solving skills 📃 Skills: SQL, Salesforce, HubSpot, CRM, SaaS, RemoteSupport, ScreenSharing 🏢 Description: The Role StarRez is seeking a Technical Support Representative to serve as a key point of contact for customers needing technical assistance and product support. You will handle customer inquiries across phone, chat, and email channels while delivering a high level of service with professionalism, confidence, and empathy. In this role, you will troubleshoot technical issues, guide customers through solutions, and collaborate with internal teams to ensure successful resolution of customer concerns. You will work in a fast-paced support environment, communicate clearly, and use critical thinking skills to solve complex problems while creating a positive customer experience. Role Specifics Work Location: Remote (US) Travel: Less than 5% (may vary based on business needs) Reporting Structure: Reports to the Team Lead, Customer Support Schedule: 8AM–5PM Mountain Time What You Will Own - Deliver exceptional customer support and technical issue resolution via phone, email, and chat - Manage customer inquiries and escalations through successful resolution, including internal, external, and executive escalations - Meet established performance objectives related to call quality, customer satisfaction, and case handling - Utilize critical thinking and problem-solving skills to analyze issues and provide effective solutions - Communicate proactively with customers by setting expectations and providing timely follow-up - Partner cross-functionally with colleagues to resolve client issues efficiently and effectively - Facilitate screen-sharing and remote troubleshooting sessions to assist customers with product-related concerns - Support additional projects and responsibilities as needed based on business priorities Required Qualifications - 1+ years of customer service experience, preferably in a call center, software support, or technical support environment - High School Diploma or GED - Strong verbal and written communication skills - Ability to manage multiple customer interactions in a fast-paced environment - Strong troubleshooting, analytical, and problem-solving abilities Preferred Qualifications - Associate or Bachelor's degree - Experience using CRM platforms such as Salesforce, HubSpot, or similar systems - Basic SQL knowledge and ability to write queries - Experience supporting SaaS or software-based products Reasons to Join the Team - Opportunity to be part of a well-established, high-performance company - Full benefits including health care, paid time off, life insurance, and 401k plan with company match for eligible team members - Supportive team environment with emphasis on learning and development opportunities - Collaborative culture focused on innovation and continuous improvement

🏢 Summary: Senior BI and Analytics Engineer responsible for building and optimizing scalable data tools and pipelines within a modern data stack to deliver trusted, high-quality insights across the organization. The role focuses on SQL-driven analytics, data modeling, DataOps practices, and cross-functional collaboration to enable data-driven decision-making. You will develop robust data transformations, maintain data quality, and create impactful dashboards and reverse ETL workflows. 🗂️ Requirements: BSc/MA in Computer Science, Statistics, Math, Engineering or related quantitative field, Minimum 4 years experience in analytics engineering, data engineering, data analytics or related field, Advanced SQL expertise, Experience with in-warehouse transformation tools (dbt preferred), Experience designing and querying OLAP data warehouses (Snowflake or BigQuery), Minimum 1 year experience with BI tools (Looker preferred), Experience with dimensional data modeling (Kimball or Data Vault), Experience building and maintaining data pipelines, Command line proficiency, Git version control experience 📃 Skills: SQL, dbt, Snowflake, BigQuery, Looker, Airflow, FiveTran, OLAP, Kimball, DataVault, Git, Bash, Python, Docker, Kubernetes, ECS, Snowplow 🏢 Description: Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior BI and Analytics Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

🏢 Summary: Senior product leadership role focused on building new 0→1 partner-driven products and experiences from concept to launch in a high-autonomy environment. The position owns vision, strategy, and execution while collaborating with engineering and partners to deliver scalable, high-impact solutions. This role emphasizes rapid iteration, technical fluency, and shaping a growing partner ecosystem. 🗂️ Requirements: 8+ years of product management experience, Experience with B2B products or partner integrations, Proven 0→1 product development experience, Track record of launching products from MVP to market, Ability to work in high-autonomy, ambiguous environments, Strong technical fluency with system design understanding, Experience collaborating closely with engineering teams, Experience defining product roadmaps based on market and customer insights 📃 Skills: ProductManagement, B2B, APIs, Integrations, SystemDesign, Roadmapping, MVP, DataAnalysis 🏢 Description: At Constant Contact, we are seriously awesome people who take ownership and make an impact by operating with the mindset, integrity and courage of a small business owner. There’s something so profoundly rewarding about knowing that your work is empowering people everywhere to pursue their dreams. Here, we all play an integral part in helping business owners, entrepreneurs, non-profits and individuals to succeed by giving them all the help and tools they need to grow online. We’re energized by new challenges and new possibilities-and we’re just getting started!We have an opening for a senior product leader who loves building new things and thrives in ambiguity. You’ll create experiences with partner companies that deliver real, outsized value to customers—things that could never exist alone. This is a 0→1 role: you’ll own the vision, strategy, and execution, moving fast, iterating constantly, and shaping the future of our partner ecosystem. What You’ll Do: Lead the creation of new partner-driven products and experiences from concept to launch. Collaborate deeply with engineering, design, and partners to turn bold ideas into scalable solutions. Spot market opportunities, uncover customer pain points, and define high-impact product roadmaps. Test, learn, and pivot quickly—combining data, insight, and intuition to drive results. Influence internal and external stakeholders, aligning teams around strategy and execution. Mentor others, shaping product thinking and partner-focused innovation across the organization. Who You Are: 8+ years of product management experience with B2B, partner integrations, or co-created products is required to thrive in this role. Show success in leading 0→1 product development, taking ideas from ambiguous problem spaces through validation, MVP, and successful launch. Proven track record of shipping impactful products in high-autonomy, ambiguous environments. Strong technical fluency—you can meaningfully engage with engineers and system design. Deep market and customer insight—know how to turn opportunity into value. Comfortable structuring chaos and making decisions with imperfect information. Customer-obsessed mindset—focused on creating experiences that delight and surprise. A builder mentality—you act fast, iterate relentlessly, and take ownership of outcomes. Why You’ll Love It: Full ownership: define the vision, strategy, and execution of transformative partner experiences. Co-create with other companies to unlock value that no one could achieve alone. Drive impact at scale—your work will shape how customers experience our ecosystem. Operate at the cutting edge of product innovation in a high-growth, collaborative startup environment. #LI-Remote #LI-HK1The specific salary offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education and work location. In addition, some roles may be eligible for additional on target commission pay or bonus. The compensation package includes health and welfare benefits including paid leave. Pay Transparency - All Full Time Employees$155,000—$194,000 USDWhy You’ll Love Us: We celebrate one another’s differences. We are proud of our culture of diversity and inclusion, and we're always working hard to strengthen and improve this culture. We have programs in place that bring us together on important issues and provide educational opportunities for all employees. Join the experts. If you're passionate about supporting businesses and organizations, you won’t find a better spot to share your talent. We’re dedicated to improving the quality of our product from a customer standpoint and have a true desire to enable the success of businesses, non-profit organizations, and community groups. You’ll have opportunities to grow your career. We encourage and support our team members to learn different aspects of the business, take on stretch assignments, seek coaching opportunities and professional development opportunities. A generous paid time off policy and a competitive benefits package that supports the health and well-being of you and your family At Constant Contact, we’re all about work flexibility and are proud to serve our customers as a hybrid workforce. Our hybrid work model combines the convenience of remote work with access to our great office locations to collaborate in-person, participate in live trainings, and socialize with colleagues. Application Deadline: 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us. Vision6 Pty Limited is an affiliate of Constant Contact, Inc. and a part of the Constant Contact group of brands. Constant Contact is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, gender, gender identity, national origin, citizenship, age, disability, sexual orientation, genetic information, veteran status or any other status protected under applicable law. If you require accessibility assistance applying for open positions, please contact talentacquisition@constantcontact.com. The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c) It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. At Constant Contact, we respect personnel privacy and are committed to protecting the personal information we obtain and maintain from both current, former, and prospective employees. We maintain this Personnel Global Privacy Notice (this “Notice”) in compliance with applicable privacy laws, including the California Consumer Privacy Act (the “CCPA”) and the UK General Data Protection Regulation (collectively, the “Data Protection Laws”). Click here for a full copy of our General Personnel Privacy Notice. Notice to Recruiters and Staffing Agencies: Constant Contact has an internal talent acquisition department and designated career site for individuals looking to join our team. Constant Contact will not accept unsolicited resumes from any external recruiters, staffing firms, search agencies or any fee-based referrals. Any unsolicited resumes sent to directly to Constant Contact, in any capacity will be considered property of Constant Contact. Constant Contact will not pay a fee for any placement resulting from the receipt of an unsolicited resume.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.