PhillyTech.Co

Own and improve the production platform’s architecture, security, scalability, and performance while managing features and technical operations end to end. | Requires 8 to 12+ years of software engineering experience, deep Vue.js and relational database expertise, production platform ownership, risk management, and AI/LLM experience. | Please note: This position is not available in California, New York, New Jersey, or Pennsylvania. This role requires being available within at least 5-6 hours of an 8-5 or 9-6 MST schedule. This is a contract-to-hire opportunity. You'll initially join as a contractor for 3 months, with the opportunity to transition into a full-time W2 position with benefits afterward, based on your performance. ARE YOU READY TO HELP CREATE LIFE-CHANGING EXPERIENCES THAT EMPOWER THOUSANDS OF PEOPLE TO TRANSFORM THEIR LIVES, BUSINESSES, AND FUTURES? Our client is a fast-growing coaching and personal development company founded in 2016 with a mission to help entrepreneurs and individuals end personal suffering and develop the mindset, tools, and practices needed to achieve their full potential. The company has become one of the fastest-growing brands and businesses in the personal and business development industry. Their annual live event was named by Inc. as a Top 3 Must-Attend Personal Development Event for Entrepreneurs, alongside Tony Robbins' Date With Destiny. Their founder was named by Inc. as a leading expert on mindset and business, and SUCCESS Magazine referred to his methodology as the next evolution in personal development. He has also been featured on Impact Theory, where his appearance was rated among the show's Top 5 interviews, and his videos have received millions of views online. The company was also ranked #171 on the Inc. 500 list of fastest-growing companies. Today, their rapidly growing platform includes coaching programs, digital products, bestselling books, a podcast reaching millions of listeners, and major live experiences bringing together thousands of entrepreneurs and leaders. Their founder is more than a motivational speaker and coach; he is an entrepreneur and an early pioneer of SEO and e-commerce, where he led the sales team that sold the first motorcycle online, generating $70M in less than 2 years. When this role becomes a direct hire, these are the benefits below: Multiple medical insurance options Employer contribution toward medical insurance premiums Dental and vision insurance options Supplemental life insurance Voluntary short-term and long-term disability insurance 15 days of PTO annually 7 paid company holidays Access to company-certified coaches and personal development opportunities Opportunities to attend company live events Travel and leisure membership benefits Job Description The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is currently in private beta. This is an opportunity to join at an important stage. There is already a substantial product and codebase, but meaningful engineering work remains before it is taken public. You'll initially work closely with the engineer who designed and built the platform, while progressively taking greater responsibility for its architecture, production readiness, and technical operations. Responsibilities: Assess the existing production codebase for security vulnerabilities, scalability and performance bottlenecks, architecture risks, data protection concerns, and reliability issues, then prioritize and implement pragmatic improvements required for a safe, stable public launch. Take increasing ownership of the overall technical health and architecture of the platform, ultimately becoming the internal technical owner responsible for its stability, security, scalability, reliability, and continued evolution. Own features end to end, from data modeling and architecture through implementation, testing, deployment, monitoring, and production support. Work across the full stack with a strong backend focus, while remaining hands on with Vue.js frontend development and contributing to a polished customer experience. Serve as the internal technical counterpart to outside engineering partners, reviewing architecture and code, challenging technical decisions when appropriate, validating deliverables, and ensuring work meets product, security, scalability, and production requirements. Partner with the existing platform engineer on technical knowledge transfer, including architecture, codebase knowledge, environments, infrastructure, accounts, deployment processes, documentation, and operational procedures. Own production readiness and technical operations, including monitoring, troubleshooting, incident response, release readiness, technical QA, and escalation of production issues. Design, automate, and execute rigorous functional, regression, load, and smoke testing. Identify and communicate technical risks early while distinguishing genuine engineering concerns from personal preferences. Design and evolve relational data models, PostgreSQL schemas, queries, indexes, migrations, and Prisma models, with a strong understanding of relational database design and performance. Work across integrations such as Stripe Connect, LiveKit, Twilio, Zoom, Anthropic, and pgvector. Use AI coding agents to accelerate development while maintaining high standards for correctness, reliability, security, and maintainability. Ideally contribute to the platform's production AI architecture, including LLM integrations, RAG, agents, context management, retrieval, evaluation, and production reliability. Qualifications 8 to 12+ years of software engineering experience, including strong production experience with Vue.js and deep hands on experience with relational database design. PostgreSQL experience is preferred, and experience with Nuxt and Prisma is a plus. Proven experience owning significant portions of a production platform across backend architecture, databases, APIs and integrations, infrastructure, deployment, monitoring, troubleshooting, and production support. Proven experience assessing production applications for security, scalability, reliability, and performance risks, with hands on experience identifying vulnerabilities, protecting sensitive customer data, diagnosing bottlenecks, and implementing pragmatic improvements. Strong backend engineering depth, with the technical judgment to understand an existing system holistically and eventually take responsibility for its architecture and technical health. Experience reviewing and validating other engineers' or external development partners' work, including architecture decisions, code quality, testing, security, scalability, and production readiness. Ability to quickly understand and contribute within an existing codebase and technical direction, identifying material risks and making pragmatic improvements rather than defaulting to unnecessary rewrites or redesigns. Experience owning production readiness, including monitoring, incident troubleshooting, release processes, technical QA, and resolving critical production issues. Background in regulated industries or high volume e-commerce is a bonus, particularly environments involving sensitive customer data, compliance requirements, high transaction volumes, and large numbers of concurrent users. Proven experience using AI coding agents on a production codebase to improve productivity, not replace thinking. Production experience with AI/LLM architecture, including RAG, agents, context management, model integrations, or similar systems, is a strong plus. Extremely organized and self sufficient, with the ability to operate independently and make sound technical decisions in a fast paced environment. Excited to work in a startup environment, with a track record of adapting to changing priorities and taking increasing technical ownership as the company scales. Proven experience owning entire features and systems from architecture and data modeling through implementation, testing, deployment, monitoring, and ongoing production support. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 90 - USD 120 - hourly

Own the platform’s technical health and production readiness by improving security, scalability, performance, architecture, and operations across the full stack. | Requires 8 to 12+ years of software engineering experience, deep Vue.js and relational database design expertise, production platform ownership, technical operations, and AI-driven development practices. | Please note: This position is not available in California, New York, New Jersey, or Pennsylvania. This role requires being available within at least 5-6 hours of an 8-5 or 9-6 MST schedule. ARE YOU READY TO HELP CREATE LIFE-CHANGING EXPERIENCES THAT EMPOWER THOUSANDS OF PEOPLE TO TRANSFORM THEIR LIVES, BUSINESSES, AND FUTURES? Our client is a fast-growing coaching and personal development company founded in 2016 with a mission to help entrepreneurs and individuals end personal suffering and develop the mindset, tools, and practices needed to achieve their full potential. The company has become one of the fastest-growing brands and businesses in the personal and business development industry. Their annual live event was named by Inc. as a Top 3 Must-Attend Personal Development Event for Entrepreneurs, alongside Tony Robbins' Date With Destiny. Their founder was named by Inc. as a leading expert on mindset and business, and SUCCESS Magazine referred to his methodology as the next evolution in personal development. He has also been featured on Impact Theory, where his appearance was rated among the show's Top 5 interviews, and his videos have received millions of views online. The company was also ranked #171 on the Inc. 500 list of fastest-growing companies. Today, their rapidly growing platform includes coaching programs, digital products, bestselling books, a podcast reaching millions of listeners, and major live experiences bringing together thousands of entrepreneurs and leaders. Their founder is more than a motivational speaker and coach; he is an entrepreneur and an early pioneer of SEO and e-commerce, where he led the sales team that sold the first motorcycle online, generating $70M in less than 2 years. When this role becomes a direct hire, these are the benefits below: Multiple medical insurance options Employer contribution toward medical insurance premiums Dental and vision insurance options Supplemental life insurance Voluntary short-term and long-term disability insurance 15 days of PTO annually 7 paid company holidays Access to company-certified coaches and personal development opportunities Opportunities to attend company live events Travel and leisure membership benefits Job Description The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is currently in private beta. This is an opportunity to join at an important stage. There is already a substantial product and codebase, but meaningful engineering work remains before it is taken public. You'll initially work closely with the engineer who designed and built the platform, while progressively taking greater responsibility for its architecture, production readiness, and technical operations. Responsibilities: Assess the existing production codebase for security vulnerabilities, scalability and performance bottlenecks, architecture risks, data protection concerns, and reliability issues, then prioritize and implement pragmatic improvements required for a safe, stable public launch. Take increasing ownership of the overall technical health and architecture of the platform, ultimately becoming the internal technical owner responsible for its stability, security, scalability, reliability, and continued evolution. Own features end to end, from data modeling and architecture through implementation, testing, deployment, monitoring, and production support. Work across the full stack with a strong backend focus, while remaining hands on with Vue.js frontend development and contributing to a polished customer experience. Serve as the internal technical counterpart to outside engineering partners, reviewing architecture and code, challenging technical decisions when appropriate, validating deliverables, and ensuring work meets product, security, scalability, and production requirements. Partner with the existing platform engineer on technical knowledge transfer, including architecture, codebase knowledge, environments, infrastructure, accounts, deployment processes, documentation, and operational procedures. Own production readiness and technical operations, including monitoring, troubleshooting, incident response, release readiness, technical QA, and escalation of production issues. Design, automate, and execute rigorous functional, regression, load, and smoke testing. Identify and communicate technical risks early while distinguishing genuine engineering concerns from personal preferences. Design and evolve relational data models, PostgreSQL schemas, queries, indexes, migrations, and Prisma models, with a strong understanding of relational database design and performance. Work across integrations such as Stripe Connect, LiveKit, Twilio, Zoom, Anthropic, and pgvector. Use AI coding agents to accelerate development while maintaining high standards for correctness, reliability, security, and maintainability. Ideally contribute to the platform's production AI architecture, including LLM integrations, RAG, agents, context management, retrieval, evaluation, and production reliability. Qualifications 8 to 12+ years of software engineering experience, including strong production experience with Vue.js and deep hands on experience with relational database design. PostgreSQL experience is preferred, and experience with Nuxt and Prisma is a plus. Proven experience owning significant portions of a production platform across backend architecture, databases, APIs and integrations, infrastructure, deployment, monitoring, troubleshooting, and production support. Proven experience assessing production applications for security, scalability, reliability, and performance risks, with hands on experience identifying vulnerabilities, protecting sensitive customer data, diagnosing bottlenecks, and implementing pragmatic improvements. Strong backend engineering depth, with the technical judgment to understand an existing system holistically and eventually take responsibility for its architecture and technical health. Experience reviewing and validating other engineers' or external development partners' work, including architecture decisions, code quality, testing, security, scalability, and production readiness. Ability to quickly understand and contribute within an existing codebase and technical direction, identifying material risks and making pragmatic improvements rather than defaulting to unnecessary rewrites or redesigns. Experience owning production readiness, including monitoring, incident troubleshooting, release processes, technical QA, and resolving critical production issues. Background in regulated industries or high volume e-commerce is a bonus, particularly environments involving sensitive customer data, compliance requirements, high transaction volumes, and large numbers of concurrent users. Proven experience using AI coding agents on a production codebase to improve productivity, not replace thinking. Production experience with AI/LLM architecture, including RAG, agents, context management, model integrations, or similar systems, is a strong plus. Extremely organized and self sufficient, with the ability to operate independently and make sound technical decisions in a fast paced environment. Excited to work in a startup environment, with a track record of adapting to changing priorities and taking increasing technical ownership as the company scales. Proven experience owning entire features and systems from architecture and data modeling through implementation, testing, deployment, monitoring, and ongoing production support. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 150000 - USD 170000 - yearly

Own and extend ML platform components including training orchestration, model registry, production monitoring, and build data pipelines and backend services for real-time inference. | 5-7+ years software/data engineering with 2+ years in production ML systems, strong Python backend experience, and scaling MLOps infrastructure. | This is a 3-day in-office hybrid role in King of Prussia, PA This role is for a senior MLOps/ML Engineer with strong backend experience who has built the infrastructure to deploy, operationalize, and support ML models in production. This is not a Data Scientist role focused primarily on building and training models. Are you ready to build and scale the machine learning infrastructure powering real time outage intelligence for some of the world’s most critical infrastructure? Our client is a fast growing B2B SaaS outage intelligence company helping major enterprises reduce downtime through advanced automation and real time intelligence. Their technology helps organizations understand outages faster, automate operational workflows, reduce unnecessary costs, and accelerate repair times. Their platform supports critical infrastructure operations where reliability matters. As the company expands its customer base and develops new products, they are investing further in the machine learning systems behind their intelligence platform. This is not a role where you inherit a finished ML platform and simply maintain it. They are looking for someone who has previously helped build an ML stack from the ground up, understands what production ML infrastructure looks like as it scales, and wants meaningful ownership over the systems supporting machine learning in production. Why Join This is an opportunity to join a growing technology company where you will have significant ownership of the ML platform and work directly with the engineers building the models that power the product. Own and influence the ML platform from model training through production deployment and monitoring. Build systems that customers rely on in real time. Work directly with ML engineers to operationalize models and support them throughout their production lifecycle. Help shape technical architecture and the future of the company's ML and operational infrastructure. Solve complex engineering problems involving machine learning, large scale data pipelines, external data sources, and real time systems. Join an entrepreneurial environment where engineers are expected to take ownership and influence how things are built. Opportunity to earn equity in a growing technology company. Benefits Hybrid work model, onsite in King of Prussia 3 days per week Equity in a fast-scaling SaaS company Fully paid medical, dental, and vision options Life and AD&D insurance Unlimited PTO Job Description As a Senior MLOps Engineer, you will have a high level of ownership over the platform the machine learning team builds on, spanning model training, experimentation, deployment, monitoring, and the data infrastructure supporting production ML. You must have firsthand experience building MLOps infrastructure from the ground up or taking an existing platform through significant scaling and continuing to operate it as it matured. Responsibilities include: Own and extend the ML platform end to end, including training orchestration, experiment tracking, model registry, deployment, and production monitoring. Build and operate data pipelines supporting model training and online inference. Build backend services and APIs that support the deployment and operation of ML models in production. Design processes for backfills, replays, and recovery when upstream data feeds fail. Ensure training data accurately reflects what was known at the point in time it represents. Build and manage reliable processes for moving trained models into production. Ensure model training runs and results are reproducible. Monitor deployed model performance over time, including models where outcomes are confirmed later. Manage training and inference costs as data volume and the number of production models grow. Contribute to technical architecture design and reviews. Qualifications 5-7+ years of professional software engineering or data engineering experience. 2+ years building and operating machine learning systems in production. Hands on experience building MLOps infrastructure from the ground up or significantly scaling an existing ML platform. Experience continuing to own and operate ML infrastructure as it matured. Experience supporting multiple production models, including deployment, serving, monitoring, and scaling. Strong backend engineering experience, including building production systems, services, or APIs in Python. Experience building and maintaining production data pipelines at scale, including managing their operating costs. Experience working with multiple external data sources that behave differently and may arrive inconsistently. Working knowledge of machine learning concepts with enough depth to effectively collaborate with ML engineers. Entrepreneurial mindset and interest in working within a fast moving startup environment. Preferred Experience Advanced proficiency with Python 3 in mature production environments + Kubernetes + PostgreSQL. Experiment tracking, model registry, and model serving frameworks. Workflow orchestration. Infrastructure as code tooling. Geospatial or time series systems. Large real time data flows. Experience working for a data intelligence company. Bachelor's degree in Computer Science or a related field. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 165000 - USD 175000 - yearly

Design, build, and maintain backend services processing real-time outage data, troubleshoot production issues, perform data analysis, and collaborate on scalable system designs. | At least 2 years backend software engineering experience with Python and PostgreSQL; preferred experience with message brokers, Kubernetes, and high-volume data pipelines. | This is a 3-day in-office hybrid role in King of Prussia, PA Are you ready to build the backend systems that help keep the most critical infrastructure online? Our client is a fast growing B2B SaaS outage intelligence company that helps major enterprises reduce downtime through automation and real time outage intelligence. Their platform processes real time outage data and helps some of the world’s largest infrastructure organizations identify outages faster, automate operational workflows, and accelerate repair times. Their technology solves real, physical world problems. When critical infrastructure goes offline, their platform helps enterprises understand what is happening and respond faster. The engineering team is building systems where reliability, data quality, speed, and scalability have direct operational consequences. The company is growing its customer base and preparing to launch new products designed to improve how major industries manage network operations. This is an opportunity to join a growing engineering organization while the product and technical platform continue to scale. Why Join This is an opportunity for a backend engineer who wants meaningful ownership, technically challenging problems, and the ability to see their work reach production. You will work on backend services that process real time outage data while developing deeper experience across distributed systems, large scale data, and production operations. • Build software that supports real world critical infrastructure. • Own features from design through production. • Work with real time data, distributed systems, APIs, and production services. • Join a startup environment where engineers can directly influence the product and technical platform. • Opportunity for rapid personal and professional growth as the company scales. Benefits Hybrid work model, onsite in King of Prussia 3 days per week Equity in a fast-scaling SaaS company Fully paid medical, dental, and vision options Life and AD&D insurance Unimited PTO Job Description As a Backend Software Engineer, you will build and improve the services that process real time outage data for enterprise customers. You will design and ship backend features, write Python code, build and maintain services, analyze data, troubleshoot production issues, and improve the software and operational stack. This is a hands on engineering role for someone who enjoys solving problems, working with data, and owning meaningful pieces of a production system. Responsibilities include: • Design, build, and ship backend features and services. • Write and maintain backend Python code. • Build and maintain services that communicate through APIs and message queues. • Work with real time outage data and data intensive systems. • Identify and implement improvements across the software and operational stacks. • Investigate, debug, and resolve production issues. • Perform detailed data analysis and build reports. • Participate in technical design discussions and code reviews. • Write tests and documentation for the systems you build. Qualifications • 2+ years of professional backend software engineering experience. • Experience building or maintaining backend services that communicate through APIs or message queues. • Experience debugging and resolving issues in production environments. • Ability to break down technical problems, ask good questions, and propose solutions. • Strong sense of ownership and attention to detail. • Excited to work in a startup environment with changing priorities and meaningful individual ownership. • Experience working at a startup and/or a strong desire to work in an entrepreneurial environment. Preferred Technical Experience • Strong proficiency with Python 3 + PostgreSQL experience. • Experience with AMQP or message brokers such as RabbitMQ or Kafka. • Experience working in Kubernetes environments. • Experience building or supporting real time or high volume data pipelines. • Bachelor’s degree in Computer Science or a related field. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 135000 - USD 145000 - yearly

Own and extend ML platform including training orchestration, model deployment, production monitoring, and data pipelines. | 4+ years software/data engineering with 2+ years in production ML systems, proficiency in Python, Kubernetes, PostgreSQL, and scaling ML infrastructure. | This is a 3-day in-office hybrid role in King of Prussia, PA Are you ready to build and scale the machine learning infrastructure powering real time outage intelligence for some of the world’s most critical infrastructure? Our client is a fast growing B2B SaaS outage intelligence company helping major enterprises reduce downtime through advanced automation and real time intelligence. Their technology helps organizations understand outages faster, automate operational workflows, reduce unnecessary costs, and accelerate repair times. Their platform supports critical infrastructure operations where reliability matters. As the company expands its customer base and develops new products, they are investing further in the machine learning systems behind their intelligence platform. This is not a role where you inherit a finished ML platform and simply maintain it. They are looking for someone who has previously helped build an ML stack from the ground up, understands what production ML infrastructure looks like as it scales, and wants meaningful ownership over the systems supporting machine learning in production. Why Join This is an opportunity to join a growing technology company where you will have significant ownership of the ML platform and work directly with the engineers building the models that power the product. Own and influence the ML platform from model training through production deployment and monitoring. Build systems that customers rely on in real time. Work directly with ML engineers on model development, evaluation, and productionization. Help shape technical architecture and the future of the company's ML and operational infrastructure. Solve complex engineering problems involving machine learning, large scale data pipelines, external data sources, and real time systems. Join an entrepreneurial environment where engineers are expected to take ownership and influence how things are built. Opportunity to earn equity in a growing technology company. Benefits Hybrid work model, onsite in King of Prussia 3 days per week Equity in a fast-scaling SaaS company Fully paid medical, dental, and vision options Life and AD&D insurance Unimited PTO Job Description As a Senior MLOps Engineer, you will have a high level of ownership over the platform the machine learning team builds on, spanning model training, experimentation, deployment, monitoring, and the data infrastructure supporting production ML. You must have firsthand experience building an ML platform from the ground up or taking an existing platform through significant scaling and continuing to operate it as it matured. Responsibilities include: Own and extend the ML platform end to end, including training orchestration, experiment tracking, model registry, deployment, and production monitoring. Build and operate data pipelines supporting model training and online inference. Design processes for backfills, replays, and recovery when upstream data feeds fail. Ensure training data accurately reflects what was known at the point in time it represents. Build and manage reliable processes for moving trained models into production. Ensure model training runs and results are reproducible. Monitor deployed model performance over time, including models where outcomes are confirmed later. Manage training and inference costs as data volume and the number of production models grow. Contribute to technical architecture design and reviews. Qualifications 4+ years of professional software engineering or data engineering experience. 2+ years building and operating machine learning systems in production. Hands on experience building an ML platform from the ground up or significantly scaling an existing ML platform. Experience continuing to own and operate ML infrastructure as it matured. Experience supporting multiple production models with complex training workloads. Experience building and maintaining production data pipelines at scale, including managing their operating costs. Experience working with multiple external data sources that behave differently and may arrive inconsistently. Working knowledge of machine learning modeling and evaluation, with enough depth to review and challenge the work of ML engineers. Entrepreneurial mindset and interest in working within a fast moving startup environment. Preferred Experience Advanced proficiency with Python 3 in mature production environments + Kubernetes + PostgreSQL. Experiment tracking, model registry, and model serving frameworks. Workflow orchestration. Infrastructure as code tooling. Geospatial or time series systems. Large real time data flows. Experience working for a data intelligence company. Bachelor's degree in Computer Science or a related field. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 165000 - USD 175000 - yearly

Own platform architecture and technical operations including security, scalability, performance, and end-to-end feature management. | 8 to 12+ years experience with strong Vue.js and relational database design, proven production platform ownership including backend architecture and security. | Please note: This position is not available in California, New York, New Jersey, or Pennsylvania. This role is a fully remote contract to hire position. The contract is full time for 3 months and will become a direct hire role contingent upon performance. This role requires to be available within at least 5-6 hours of an 8-5 or 9-6 MST schedule. ARE YOU READY TO HELP CREATE LIFE-CHANGING EXPERIENCES THAT EMPOWER THOUSANDS OF PEOPLE TO TRANSFORM THEIR LIVES, BUSINESSES, AND FUTURES? Our client is a fast-growing coaching and personal development company founded in 2016 with a mission to help entrepreneurs and individuals end personal suffering and develop the mindset, tools, and practices needed to achieve their full potential. The company has become one of the fastest-growing brands and businesses in the personal and business development industry. Their annual live event was named by Inc. as a Top 3 Must-Attend Personal Development Event for Entrepreneurs, alongside Tony Robbins' Date With Destiny. Their founder was named by Inc. as a leading expert on mindset and business, and SUCCESS Magazine referred to his methodology as the next evolution in personal development. He has also been featured on Impact Theory, where his appearance was rated among the show's Top 5 interviews, and his videos have received millions of views online. The company was also ranked #171 on the Inc. 500 list of fastest-growing companies. Today, their rapidly growing platform includes coaching programs, digital products, bestselling books, a podcast reaching millions of listeners, and major live experiences bringing together thousands of entrepreneurs and leaders. Their founder is more than a motivational speaker and coach; he is an entrepreneur and an early pioneer of SEO and e-commerce, where he led the sales team that sold the first motorcycle online, generating $70M in less than 2 years. When this role becomes a direct hire, these are the benefits below: Multiple medical insurance options Employer contribution toward medical insurance premiums Dental and vision insurance options Supplemental life insurance Voluntary short-term and long-term disability insurance 15 days of PTO annually 7 paid company holidays Access to company-certified coaches and personal development opportunities Opportunities to attend company live events Travel and leisure membership benefits Job Description The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is currently in private beta, with a near term goal of being launch ready by November 13. This is an opportunity to join at an important stage. There is already a substantial product and codebase, but meaningful engineering work remains before it is taken public. You'll initially work closely with the engineer who designed and built the platform, while progressively taking greater responsibility for its architecture, production readiness, and technical operations. Over time, this person is expected to become the internal technical owner of the platform. Responsibilities: Assess the existing production codebase for security vulnerabilities, scalability and performance bottlenecks, architecture risks, data protection concerns, and reliability issues, then prioritize and implement pragmatic improvements required for a safe, stable public launch. Take increasing ownership of the overall technical health and architecture of the platform, ultimately becoming the internal technical owner responsible for its stability, security, scalability, reliability, and continued evolution. Own features end to end, from data modeling and architecture through implementation, testing, deployment, monitoring, and production support. Work across the full stack with a strong backend focus, while remaining hands on with Vue.js frontend development and contributing to a polished customer experience. Serve as the internal technical counterpart to outside engineering partners, reviewing architecture and code, challenging technical decisions when appropriate, validating deliverables, and ensuring work meets product, security, scalability, and production requirements. Partner with the existing platform engineer on technical knowledge transfer, including architecture, codebase knowledge, environments, infrastructure, accounts, deployment processes, documentation, and operational procedures. Own production readiness and technical operations, including monitoring, troubleshooting, incident response, release readiness, technical QA, and escalation of production issues. Design, automate, and execute rigorous functional, regression, load, and smoke testing. Identify and communicate technical risks early while distinguishing genuine engineering concerns from personal preferences. Design and evolve relational data models, PostgreSQL schemas, queries, indexes, migrations, and Prisma models, with a strong understanding of relational database design and performance. Work across integrations such as Stripe Connect, LiveKit, Twilio, Zoom, Anthropic, and pgvector. Use AI coding agents to accelerate development while maintaining high standards for correctness, reliability, security, and maintainability. Ideally contribute to the platform's production AI architecture, including LLM integrations, RAG, agents, context management, retrieval, evaluation, and production reliability. Qualifications 8 to 12+ years of software engineering experience, including strong production experience with Vue.js and deep hands on experience with relational database design. PostgreSQL experience is preferred, and experience with Nuxt and Prisma is a plus. Proven experience owning significant portions of a production platform across backend architecture, databases, APIs and integrations, infrastructure, deployment, monitoring, troubleshooting, and production support. Proven experience assessing production applications for security, scalability, reliability, and performance risks, with hands on experience identifying vulnerabilities, protecting sensitive customer data, diagnosing bottlenecks, and implementing pragmatic improvements. Strong backend engineering depth, with the technical judgment to understand an existing system holistically and eventually take responsibility for its architecture and technical health. Experience reviewing and validating other engineers' or external development partners' work, including architecture decisions, code quality, testing, security, scalability, and production readiness. Ability to quickly understand and contribute within an existing codebase and technical direction, identifying material risks and making pragmatic improvements rather than defaulting to unnecessary rewrites or redesigns. Experience owning production readiness, including monitoring, incident troubleshooting, release processes, technical QA, and resolving critical production issues. Background in regulated industries or high volume e-commerce is a bonus, particularly environments involving sensitive customer data, compliance requirements, high transaction volumes, and large numbers of concurrent users. Proven experience using AI coding agents on a production codebase to improve productivity, not replace thinking. Production experience with AI/LLM architecture, including RAG, agents, context management, model integrations, or similar systems, is a strong plus. Extremely organized and self sufficient, with the ability to operate independently and make sound technical decisions in a fast paced environment. Excited to work in a startup environment, with a track record of adapting to changing priorities and taking increasing technical ownership as the company scales. Proven experience owning entire features and systems from architecture and data modeling through implementation, testing, deployment, monitoring, and ongoing production support. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 90 - USD 120 - hourly

Design, build, and maintain Python backend services processing real-time data, troubleshoot production issues, and contribute to technical design and documentation. | At least two years backend experience with API or message-queue services, Python 3 and PostgreSQL proficiency preferred, and ability to debug production systems. | This is a 3-day in-office hybrid role in King of Prussia, PA ARE YOU READY TO BUILD THE BACKEND SYSTEMS THAT HELP KEEP CRITICAL INFRASTRUCTURE ONLINE? Our client is a fast growing B2B SaaS outage intelligence company that helps major enterprises reduce downtime through automation and real time outage intelligence. Their platform processes real time outage data and helps some of the world’s largest infrastructure organizations identify outages faster, automate operational workflows, and accelerate repair times. Their technology solves real, physical world problems. When critical infrastructure goes offline, their platform helps enterprises understand what is happening and respond faster. The engineering team is building systems where reliability, data quality, speed, and scalability have direct operational consequences. The company is growing its customer base and preparing to launch new products designed to improve how major industries manage network operations. This is an opportunity to join a growing engineering organization while the product and technical platform continue to scale. Why Join This is an opportunity for a backend engineer who wants meaningful ownership, technically challenging problems, and the ability to see their work reach production. You will work on backend services that process real time outage data while developing deeper experience across distributed systems, large scale data, and production operations. • Build software that supports real world critical infrastructure. • Own features from design through production. • Work with real time data, distributed systems, APIs, and production services. • Join a startup environment where engineers can directly influence the product and technical platform. • Opportunity for rapid personal and professional growth as the company scales. Benefits Hybrid work model, onsite in King of Prussia 3 days per week Equity in a fast-scaling SaaS company Fully paid medical, dental, and vision options Life and AD&D insurance PTO Job Description As a Backend Software Engineer, you will build and improve the services that process real time outage data for enterprise customers. You will design and ship backend features, write Python code, build and maintain services, analyze data, troubleshoot production issues, and improve the software and operational stack. This is a hands on engineering role for someone who enjoys solving problems, working with data, and owning meaningful pieces of a production system. Responsibilities include: • Design, build, and ship backend features and services. • Write and maintain backend Python code. • Build and maintain services that communicate through APIs and message queues. • Work with real time outage data and data intensive systems. • Identify and implement improvements across the software and operational stacks. • Investigate, debug, and resolve production issues. • Perform detailed data analysis and build reports. • Participate in technical design discussions and code reviews. • Write tests and documentation for the systems you build. Qualifications • 2+ years of professional backend software engineering experience. • Experience building or maintaining backend services that communicate through APIs or message queues. • Experience debugging and resolving issues in production environments. • Ability to break down technical problems, ask good questions, and propose solutions. • Strong sense of ownership and attention to detail. • Excited to work in a startup environment with changing priorities and meaningful individual ownership. • Experience working at a startup and/or a strong desire to work in an entrepreneurial environment. Preferred Technical Experience • Strong proficiency with Python 3 + PostgreSQL experience. • Experience with AMQP or message brokers such as RabbitMQ or Kafka. • Experience working in Kubernetes environments. • Experience building or supporting real time or high volume data pipelines. • Bachelor’s degree in Computer Science or a related field. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 90000 - USD 110000 - yearly

Own features end-to-end including data modeling, architecture, deployment, and system stability, while contributing to frontend and backend development. | 5-9+ years experience with strong Vue.js and PostgreSQL skills, plus preferred experience in Nuxt, Prisma, systems architecture, and automated testing. | Please note: This position is not available in California, New York, New Jersey, or Pennsylvania. This role is a fully remote contract to hire position. The contract is full time for 3 months and will become a direct hire role contingent upon performance. This role requires to be available within at least 5-6 hours of an 8-5 or 9-6 MST schedule. ARE YOU READY TO HELP CREATE LIFE-CHANGING EXPERIENCES THAT EMPOWER THOUSANDS OF PEOPLE TO TRANSFORM THEIR LIVES, BUSINESSES, AND FUTURES? Our client is a fast-growing coaching and personal development company founded in 2016 with a mission to help entrepreneurs and individuals end personal suffering and develop the mindset, tools, and practices needed to achieve their full potential. The company has become one of the fastest-growing brands and businesses in the personal and business development industry. Their annual live event was named by Inc. as a Top 3 Must-Attend Personal Development Event for Entrepreneurs, alongside Tony Robbins' Date With Destiny. Their founder was named by Inc. as a leading expert on mindset and business, and SUCCESS Magazine referred to his methodology as the next evolution in personal development. He has also been featured on Impact Theory, where his appearance was rated among the show's Top 5 interviews, and his videos have received millions of views online. The company was also ranked #171 on the Inc. 500 list of fastest-growing companies. Today, their rapidly growing platform includes coaching programs, digital products, bestselling books, a podcast reaching millions of listeners, and major live experiences bringing together thousands of entrepreneurs and leaders. Their founder is more than a motivational speaker and coach; he is an entrepreneur and an early pioneer of SEO and e-commerce, where he led the sales team that sold the first motorcycle online, generating $70M in less than 2 years. When this role becomes a direct hire, these are the benefits below: Multiple medical insurance options Employer contribution toward medical insurance premiums Dental and vision insurance options Supplemental life insurance Voluntary short-term and long-term disability insurance 15 days of PTO annually 7 paid company holidays Access to company-certified coaches and personal development opportunities Opportunities to attend company live events Travel and leisure membership benefits Job Description The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is currently in private beta, with a near-term goal of being launch-ready by November 13. This is an opportunity to join at an important stage: there’s already a substantial product and codebase, but plenty of meaningful engineering work remains before it is taken public. You’ll work directly with the engineer who designed and built the platform, owning features end to end and helping establish the engineering standards that'll carry into production. Responsibilities: Review the existing production codebase for architecture, security, scalability, and reliability risks, and recommend pragmatic improvements before prioritizing major new feature development. Own features end-to-end from data modeling and architecture to building, deploying, and shipping them to customers. Work across the full stack with a stronger backend focus, prioritizing system stability, security, scalability, and reliability while also owning and contributing to Vue.js frontend development. You will help make the platform look beautiful too. Use AI coding agents to accelerate development while maintaining high standards for correctness, reliability, and maintainability. Design, automate, and execute rigorous functional, regression, load, and smoke testing. Identify and communicate technical risks early, while distinguishing genuine engineering concerns from personal preferences. Design and evolve PostgreSQL data models and Prisma schemas, with a strong understanding of relational database design. Working across integrations such as Stripe Connect, LiveKit, Twilio, Zoom, Anthropic, and pgvector. Help manage and grow a Google Apps Script reporting layer. Testing, debugging, and shipping features. Reviewing pull requests and helping maintain a consistent engineering bar. Monitoring production systems and participating in triage and incident resolution. Improving existing code where reliability, maintainability, or performance needs attention. Qualifications 5-9+ years of software engineering experience, including strong production experience with Vue.js and PostgreSQL. Experience with Nuxt and Prisma is strongly preferred Proven experience using AI coding agents on a production codebase to improve productivity, not replace thinking. Proven systems architecture experience, with a track record of making or significantly influencing structural decisions on production systems. Strong testing expertise, including functional, regression, load, and smoke testing, as well as experience automating test suites. Ability to read, understand, and work within an existing codebase before reaching for a rewrite or redesign. Extremely organized and self sufficient with the ability to work independently in a fast paced environment with changing requirements. Excited to work in a startup environment with a track record of being adaptable to changing priorities in a fluid high growth environment. Proven experience working on entire features, from concept through to production deployment ensuring the feature is built and deployed in a timely fashion. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 90 - USD 120 - hourly

Manage multiple concurrent cross-functional projects including digital launches and marketing campaigns ensuring deadlines are met. | 5+ years project management experience with proficiency in digital marketing workflows and tools like Asana. | This role is fully remote and works an 8-5 or 9-6 EST schedule. ARE YOU READY TO HELP SCALE LIFE-CHANGING PROGRAMS THAT EMPOWER THOUSANDS OF PEOPLE TO TRANSFORM THEIR LIVES, BUSINESSES, AND FUTURES? Our client is a fast-growing coaching and personal development company that delivers live and virtual events, coaching programs, digital products, online platforms, and media initiatives to a large and growing audience. The organization operates in a highly entrepreneurial environment where major initiatives move quickly and often run simultaneously. A single digital campaign can involve 100+ emails, dozens of landing pages, sophisticated marketing automation, multiple departments, and hard launch deadlines. This Senior Project Manager will become the company's primary Project Manager and will lead a Project Coordinator. You will inherit active projects and existing PM infrastructure while taking ownership of keeping critical initiatives moving and strengthening the systems behind them. Culture This role is ideal for a hands-on Senior Project Manager who has worked in a coaching company, digital education business, performance marketing organization, agency, membership business, or another digital launch-heavy entrepreneurial environment. You are not a PM who simply updates timelines, facilitates meetings, and asks other people for status updates. You personally build project plans, gather requirements, identify dependencies, hold stakeholders accountable, validate outcomes, and make sure projects actually cross the finish line. Benefits 100% Remote Multiple medical insurance options Employer contribution toward medical insurance premiums Dental and vision insurance options Supplemental life insurance Voluntary short-term and long-term disability insurance 15 days of PTO annually 7 paid company holidays Access to company-certified coaches and personal development opportunities Opportunities to attend company live events Travel and leisure membership benefits Why This Opportunity Is Different This is an opportunity to become the person leadership trusts to know whether the company's most important initiatives are actually on track and getting across the finish line. Own the project management function rather than becoming one PM within a large PMO Coordinate sophisticated launches involving marketing automation, copywriting, customer journeys, landing pages, and hard deadlines Manage multiple concurrent initiatives across marketing, coaching, events, products, sales, operations, and media Join a fast-moving entrepreneurial organization where ownership and initiative are highly valued The environment can include three or four launches running back-to-back while recurring programs and fulfillment initiatives continue simultaneously. Job Description The Senior Project Manager serves as the cross-functional owner responsible for turning company priorities into structured projects and driving them through successful completion. Working closely with leadership, you'll coordinate Marketing, Copywriting, Marketing Automation, Customer Operations, Events, Coaching, Product, Sales, and external partners across digital launches, live and virtual events, coaching programs, digital products/platforms, podcast and media initiatives, and other company priorities. You'll inherit an existing project management environment built primarily in Asana. Your responsibility will be to quickly understand what exists, preserve what works, identify gaps, and improve or rebuild the infrastructure where necessary. Responsibilities Own multiple concurrent cross-functional projects across digital launches, marketing campaigns, live and virtual events, coaching programs, digital products/platforms, podcast/media initiatives, and company priorities. Personally build and maintain detailed project plans, timelines, dependencies, milestones, ownership, and workflows within Asana. Coordinate Marketing, Copywriting, Marketing Automation, Customer Operations, Events, Coaching, Product, Sales, leadership, and external partners to keep initiatives moving toward completion. Drive sophisticated digital launches involving CRM and marketing automation workflows, customer journeys, promotional windows, email campaigns, landing pages, copy, testing, and hard launch deadlines. Proactively identify risks, chase dependencies, hold stakeholders accountable, escalate issues when necessary, and communicate when deliverables or timelines are at risk. Validate that work is actually complete by reviewing critical deliverables, confirming requirements have been met, performing final QA checks, and helping close execution gaps when necessary. Assess the existing PM environment and Asana infrastructure, preserve effective processes, identify weaknesses, implement improvements, and lead a Project Coordinator while creating greater visibility and accountability across the organization. Qualifications 5+ years of hands-on project management, launch management, product/program management, or similar cross-functional experience in a fast-moving organization. Proven experience managing digital launches, marketing campaigns, product deployments, or similarly complex initiatives involving multiple departments, hard deadlines, and interdependent deliverables. Experience within a coaching company, digital education business, performance marketing organization, agency, membership business, or another launch-heavy entrepreneurial environment. Strong understanding of digital marketing and launch workflows, including CRM/marketing automation, email campaigns, landing pages, promotional launch windows, and cross-functional dependencies. Strong project management systems experience, with Asana experience highly preferred. Proven ability to manage several complex initiatives simultaneously while maintaining strong attention to detail and visibility across priorities. High ownership mentality with a demonstrated ability to close loops, proactively identify problems, validate outcomes, and drive work forward without constant direction. Interview Process 1st Screening Recruiting Review (SaaS Talent’s Head of Sales & Delivery) Round 1 Interview with the President. Round 2 Real-world project assignment designed to evaluate project management approach, judgment, communication, and quality of work. Final Round Final interview with company leadership. Hiring Decision Fast, streamlined interview process focused on identifying a highly autonomous, hands-on Senior Project Manager who can quickly take ownership of active projects and become a trusted operational partner to leadership. Additional Information About SaaS Talent SaaS Talent is more than just a recruiting company. We're your hiring, business development and growth partner with 20+ years of experience in SaaS and Hi-Tech that helps you scale and transform your business. We've worked with 100+ companies and helped them achieve their goals. From streamlining sales, marketing, and operations to hiring ideal talent and getting funding, if you're struggling to grow, we're an ideal choice. Reach out to us at www.saas-talent.com to learn more about how we can help you. SMS Communication Consent Disclaimer By applying for this position, you agree to receive text message updates from SaaS Talent related to job opportunities. Standard message and data rates may apply, and messaging frequency varies. Text HELP for help and STOP to cancel. Learn more about our opt-in SMS Communication consent policy here: https://www.saas-talent.com/opt-in-sms-communication-consent Compensation: USD 90000 - USD 110000 - yearly