\nMatterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. You will collaborate with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes. You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services.  This position will report to the Software Vice President for Vision & Learning.   \n\n\n\nWhat you will do:\n* Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.\n* Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.\n* Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.\n* Lead by example as a working manager with strong hands-on engineering fundamentals.\n* Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.\n* Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.\n* Work with cross-functional teams across Product, Sales, Customer Success and Business Development\n* Advocate for new technical architecture and innovation \n* Implement and refine development and cross-functional processes\n* Hire, mentor, lead, and coach senior and principal engineers to meet their full potential\n* Act as a leader for implementing best-practices across the organization\n\n\n\n Who you bring:\n* Master’s degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.\n* 5-8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.\n* Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.\n* Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.\n* Strong experience with AWS cloud services\n* Strong knowledge of data management processes for large-scale machine learning datasets.\n* Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.\n* Strong knowledge of software engineering best practices, including version control, testing, and deployment.\n* Experience with model quantization, distillation or other compression techniques.\n* Excellent communication and collaboration skills.\n\n\n\nNice to Have:\n* Master's degree or PhD in Computer Science, or related field\n* Strong knowledge of C++\n* Experience with 3D graphics, computer vision, point clouds, or spatial data\n* Experience with data streaming and real-time processing frameworks such as Kafka\n* Experience with ML dataset management tooling, such as Activeloop Deeplake.\n* Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.\n* Experience with big data technologies such as Snowflake, Spark, or Hive.\n* Experience with model interpretability and explainability techniques.\n* Experience with building and deploying machine learning models on edge devices or IoT devices\n\n\nWe want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.\n\nThe US base salary range for this full-time position is $160,000 to $294,100 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\n\nPerks & Benefits\n* Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees\n* Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays!\n* 401k,  Company ownership in the form of RSU’s & ESPP Program\n* Medical and retirement benefits vary by Country \n* For more detail visit www.matterport.com/careers \n\n\n\n\n\n\nBelief in Diversity\n\n\nAt Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discrimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements.\n\n\nMatterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act\n\n\nFor more information regarding how Matterport collects and uses personal information, please review our Privacy Policies. https://matterport.com/privacy-policy\n\n \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, Testing, DevOps, Education, Cloud, Senior and Engineer jobs that are similar:\n\n $50,000 — $80,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States

\nAbout Coalfire\n \nCoalfire is on a mission to make the world a safer place by solving our clients’ hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Denver, Colorado with offices across the U.S. and U.K., and we support clients around the world.  \n \nBut that’s not who we are – that’s just what we do. \n \nWe are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference.   \n \nAnd we’re growing fast. \n\n\nWe’re looking for an Associate to support our Cloud Services team. \n\n\nThis can be a remote position (must be located in the United States).\n\n\nPosition Summary\n\n\nAs a Cloud Services Associate, you will play a critical role in driving customer intimacy and growth by understanding our clients’ businesses, industries, value propositions, and success requirements. You’ll leverage your expertise in gathering client requirements, working with technical teams on proposing solutions, and designing FedRAMP compliant cloud infrastructure. This is a great opportunity to join a dynamic team and make a meaningful impact for clients.\n\n\n\nWhat You'll Do \n* Assist in the coordination of large-scale cloud engagements\n* Provide both subject matter expertise and project management experience to serve as the “point person” for engagement teams\n* Participate in the design and operation of related compliance monitoring and improvement activities to ensure compliance both with internal security policies etc. and applicable laws and regulations\n* Contribute to cloud program management, service delivery model and strategy planning\n* Develop and review reports and presentations for both technical and executive audiences\n* Monitor progress and manage risk while ensuring stakeholders are kept informed about progress and expected outcomes\n* Leverage knowledge of industry trends to identify engagement and client service issues; communicate this information to the engagement team through written correspondence and verbal presentations\n* Work closely with engagement manager to co-lead and own multiple parts of the engagement delivery\n* Deliver quality client services. Drive high-quality work products within expected timeframes and on budget\n* Engage in development of client cloud and security strategies, vision-state architectures, roadmap, and planning activities\n* Engage with clients to perform cloud configuration and maturity reviews\n* Document requirements and ensure clear communication to the technical teams\n* Assist in designing FedRAMP compliant cloud infrastructure and solutions based on client requirements\n* Translate client requirements to the engineering team for execution\n* Advise across a myriad of technology stacks in the leading cloud providers like AWS, Azure, and GCP\n* Work with prospective clients to identify opportunities, scope engagements, and build relationships\n\n\n\nWhat You'll Bring \n* 1+ years of directly relevant systems engineering and architecture experience including requirements definition, architecture development, development of use cases and stories, and systems integration & test\n* Hands-on experience with AWS, Azure or GCP platform capabilities and services (Associate Cloud Architect, Cloud DevOps Engineer, or Cloud Security Engineer)\n* Critical thinking, and ability to balance security requirements with mission needs\n* Ability to work quickly, efficiently and accurately in a dynamic and fluid environment\n* BS or above in related Information Technology field or equivalent combination of education and experience\n* Excellent communication, organizational, and problem-solving skills\n\n\n\nBonus Points\n* Previous experience supporting clients from within a professional services organization\n* Project management experience for individual and team projects(ability to track detailed tasks and ensure timely delivery)\n* Cloud-based networking experience (Palo Alto, CheckPoint, Cisco ASAv, F5, etc....)\n* Expertise with serverless, microservices, and other modern application architectures\n* Familiarity with configuration baseline standards such as CIS Benchmarks & DISA STIG\n* Proven expertise in the implementation of encryption technologies (SSL, encryption, PKI)\n* Strong experience with Visio and Jira or MS Project\n* Familiarity with frameworks such as FedRAMP, FISMA, SOC, ISO, HIPAA, HITRUST, PCI, etc.\n\n\n\n\n\nWhy You'll Want to Join Us\n\n\nAt Coalfire, you’ll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you’ll work most effectively – whether you’re at home or an office.\n\n\nRegardless of location, you’ll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You’ll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you’ll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options.\n\n\nAt Coalfire, equal opportunity and pay equity is integral to the way we do business. A reasonable estimate of the compensation range for this role is $53,000 to $92,000 based on national salary averages. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications and other factors. You may also be eligible to participate in annual incentive, commission, and/or recognition programs. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.\n\n\n#LI-Remote\n#LI-HJ1 \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, DevOps and Cloud jobs that are similar:\n\n $70,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nUnited States

About Phaidra\n\nPhaidra is building the future of industrial automation.\n\nThe world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades.\n\nPhaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:\n\n\n* We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.\n\n* We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.\n\n* We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them.\n\n\n\n\nOur team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact.\n\nPhaidra is based in the USA but 100% remote; we do not have a physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Norway, Italy, Spain, Portugal, and India.\n\n**Please only apply to one opening. If you are a better fit for another opening, our team will move your application. Candidates who apply to multiple openings will not be considered.**\nWho You Are\n\nWe are looking for a very experienced Software Engineer with a focus on MLOps tech leadership to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n\n* We are seeking a team member located within one of the following areas: USA/Canada/UK/EU\n\n\n\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as a very experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 10+ years of work experience.\n\n* Proven record on impact as a Tech Leader and bar-raiser for ambitious Software Engineering teams\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Extensive experience with platform Software Engineering with the ability to contribute on all levels as an individual contributor and tech leader\n\n* Strong expertise on building, operating and monitoring large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and metrics collection\n\n* Ability to take ownership of realtime production systems - aligning technical with business requirements, raising the bar for operational excellence and on-call incident handling\n\n* Strong expertise in Python and Cloud environments\n\n* Very good grasp of Machine Learning (especially Deep Learning) fundamentals\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience with building applications that can be deployed in cloud, as well as in hybrid or on-prem environment\n\n* Exposure to Reinforcement Learning or other in-depth knowledge on modern ML applications\n\n* Experience with industrial applications, industrial control systems, IoT, sensor time series applications, or similar\n\n\n\nRelevant Technologies from our Stack\n\n\n* Python, Go\n\n* PyTorch, PyTorch Lightning\n\n* Ray.io, Prefect, mlflow\n\n* REST & gRPC micro-services\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Grafana Cloud, Prometheus\n\n* Poetry, Pants\n\n* Gitlab CI, ArgoCD, Atlantis\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* \n\nMeeting with Operations (30 minutes): The purpose of this interview is to meet you, learn more about your background, discuss what you are looking for in a new position and cover formalities around your application.\n\n\n* \n\nTech Lead interview (60 minutes): This interview is a combination of technical and cultural fit assessment. We will cover your technical experience and the skills as an engineer and a tech lead while discussing projects that you have worked on in the past. You will meet the manager for the role as well as our VP of Engineering, with the opportunity to ask any questions about the team, role and engineering at Phaidra.\n\n\n* \n\nML system design & SRE (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring\n\n\n* \n\nML interview (60 minutes): This interview will focus on Machine Learning approaches, algorithms and theory. You will be asked about ML algorithms you are familiar with, how they work under the hood and how to use them in an applied setting.\n\n\n* \n\nCulture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values and the mutual cultural fit.\n\n\n\nBase Salary\n\n\n* US Residents: $156,000-$234,000/year\n\n* UK Residents: £108,000-£162,000/year\n\n\n\n\nSalary ranges for EU countries will vary based on the market rate for the location.\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation.\nBenefits & Perks\n\n\n* Fast-paced and team-oriented environment where you will be instrumental in the direction of the company.\n\n* Phaidra is a 100% remote company with a digital nomad policy.\n\n* Competitive compensation & equity.\n\n* Outsized responsibilities & professional development.\n\n* Training is foundational; functional, customer immersion, and development training.\n\n* Medical, dental, and vision insurance (exact benefits vary by region).\n\n* Unlimited paid time off, with a minimum of 20 days off per year requirement.\n\n* Paid parental leave (exact benefits vary by region).\n\n* Home office setup allowance and company MacBook.\n\n* Monthly remote work stipend.\n\n\n\nOn being Remote\n\nWe are thoughtful about remote collaboration. We look to the pioneers - like Gitlab - for inspiration and best practices to create a stellar remote work environment. We have a documentation-first culture and actively practice asynchronous communication in everything we do. Our team stays connected through tools like Slack and video chat. Most teams meet daily, and we have dedicated all-hands meetings bi-weekly to build strong relationships. We hold virtual team building events once per month - and even hold virtual socials to watch rocket launches! We have a yearly in-person, all-company summit in locations like Seattle, Athens, Goa, and Barcelona.\nEqual Opportunity Employment\n\nPhaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at [email protected].\nE-Verify Notice\n\nPhaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee’s Form I-9 to confirm work authorization for those residing in the United States.\n\nAdditional information about E-Verify can be found here.\n\n#LI-Remote\n\nWE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.\n\n  \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Engineer and Backend jobs that are similar:\n\n $70,000 — $105,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

Who You Are\n\nWe are looking for a driven Software Engineer (MLOps) to be a part of our growing AI Platform team. You are bold and creative, and have deep empathy for customers who may not be tech-savvy. You will design and implement significant parts of the code base and will have the opportunity to make an immediate impact with your work and guide the product and team as we grow.\n\nYou are curious and like to understand technologies and their tradeoffs in depth - providing technical guidance to the team and peers as and when required. Leading by example, you have accumulated a wealth of insights and experiences from your hands-on involvement in the field, and you are committed to rolling up your sleeves and getting work done. You like joining and supporting other engineers in their work to learn from them as well as letting them benefit from your expertise and experience.\n\nYou have the motivation and skills to identify technical product needs, initiate projects and owning their delivery, including the involvement of engineering peers as needed. You are comfortable with challenging the status quo respectfully to drive and deliver technical excellence in the team.\n\n**We are seeking a team member located within one of the following areas: USA/Canada/UK\nResponsibilities\n\nThe AI Platform team you are joining is responsible for building the core platform that powers model training, inference and decision making in our products. Furthermore the team owns MLOps and the services hosting our AI capabilities. Productionizing results from Research, as well as extending our systems and providing support according to our customer needs fall into team responsibilities as well. You will join this team as an experienced engineer with a focus on MLOps solutions to grow our expertise in that area, but also contribute as a software engineer more widely in the team.\n\nAs an organization, we strongly believe in expertise across the stack. As such, you will experience flavors of Machine Learning, Software Engineering, Distributed Systems, MLOps and DevOps.\n\nIn particular, you will:\n\n\n* Design, build and lead the MLOps initiatives and vision for the AI Platform to strengthen automation, orchestration, versioning, observability, monitoring and collaboration for the platform.\n\n* Build and design scalable components for the AI Platform to allow high throughput training and inference for RL agents doing realtime inference for autonomous control of industrial systems.\n\n* Contribute to the design and implementation of the product backend by writing REST & gRPC API services and scalable event-driven backend applications.\n\n* Design clear, extensible software interfaces for the team's customers and maintain a high release quality bar.\n\n* Design and optimize data storage & retrieval mechanisms for high throughput, security & ease of access.\n\n* Perform DevOps duties of CI/CD, Release & Deployment management.\n\n* Be a part of our global production oncall team and, own & operate your services in production, meeting Phaidra’s high bar for operational excellence.\n\n* Lead cross-functional initiatives collaborating with engineers, product managers and TPM across teams.\n\n* Mentor your peers and be a technical role-model in the team.\n\n\n\nOnboarding\n\nIn your first 30 days…\n\n\n* You will be immersed in an onboarding program that introduces you to Phaidra and our product.\n\n* You will spend time in the Engineering org, learning how the teams operate, interact, and approach problems.\n\n* You will read various parts of our handbook and familiarize yourself with the documentation culture at Phaidra.\n\n* You will set up your development environment and start working on an onboarding exercise that will introduce you to various parts of our code base.\n\n* You will learn about how we use agile and be able to navigate our sprint boards and backlogs.\n\n* You will learn about various team standards and development & release processes.\n\n* You will start to learn about our system architecture and infrastructure.\n\n* You will start picking up few good “first-tasks” to get yourself accustomed to the end to end release flow.\n\n\n\n\nIn your first 60 days…\n\n\n* You will get a solid understanding of what Phaidra does and how we do it.\n\n* You will meet with team members across Phaidra and started building relationships that will help you be successful at your job.\n\n* You will complete the onboarding exercise and will be on your way to completing your first production task.\n\n* You will take ownership for the MLOps work on the team, identify gaps and propose roadmap items on the topic.\n\n\n\n\nIn your first 90 days…\n\n\n* You will be fully integrated in the team and with team members across the company.\n\n* You will have a more in-depth understanding of our system architecture and infrastructure.\n\n* You will complete your first on-call experience helping monitor and improve our production environments.\n\n* You will become an expert with our tooling.\n\n* You will start to contribute to knowledge sharing throughout Phaidra and the team.\n\n* You will take proactively drive MLOps topics in the team and represent it technically throughout the company.\n\n\n\nKey Qualifications\n\n\n* 7+ years of work experience.\n\n* Bachelors or Masters in Computer Science, or equivalent experience.\n\n* Strong experience on designing and implementing MLOps solutions for AI production systems\n\n* Expertise with production Software Engineering - relational and non-relational data modelling, micro-services, understanding of event driven systems, etc.\n\n* Strong experience building large scale multi-tenant systems with high availability, fault tolerance, performance tuning, monitoring, and statistics/metrics collection.\n\n* Strong expertise in Python and Cloud environments\n\n* Good grasp of Machine Learning (especially Deep Learning) fundamentals.\n\n* Ability to collaborate and communicate effectively in an all-remote setting\n\n* Doing your work with curiosity, ownership, transparency & directness, outcome orientation, and customer empathy.\n\n\n\nBonus\n\n\n* Experience as a service owner of a realtime production system - operating & monitoring services in production, including using observability tooling such as Prometheus, Grafana, Tempo or equivalent offerings and incident management.\n\n* Experience with building applications that can be deployed in cloud, hybrid or on prem environments\n\n* Exposure to Reinforcement Learning\n\n\n\nOur Stack\n\n\n* Languages - (Backend) Python, Go; (Frontend) JavaScript/TypeScript, React; Customer SDK & Clients - C# .NET\n\n* PyTorch\n\n* Cypress\n\n* Docker, Kubernetes, Terraform & Kapitan\n\n* Gitlab CI, ArgoCD, Atlantis, Vercel\n\n* GCP - GKE, PubSub, CloudSQL, BigTable, Postgres, etc.\n\n* Ray.io\n\n* REST & gRPC micro-services\n\n* Poetry, Pantsbuild\n\n\n\nGeneral Interview Process\n\nAll of our interviews are held via Google Meet, and an active camera connection is required.\n\n* Initial screening interview with a People Operations team member (30 minutes): The purpose of this interview is to meet you, learn more about your background, and discuss what you are looking for in a new position.\n\n* Hiring manager interview (30 minutes): The purpose of this meeting is for you to get to know the manager for the role. This chat will mainly focus on your previous experience and technical background. You can expect to talk about projects that you have worked on in the past and ask any questions about the team & role.\n\n* Technical Interview 1 (60 minutes): The purpose of this interview is to assess your skills in Machine Learning and related mathematics.\n\n* Technical Interview 2 (90 minutes): In this interview, we will go over a real world MLOps problem. You can expect to draw architecture diagrams using boxes & arrows in your browser. We will talk about system design, scalability and monitoring.\n\n* Meeting with VP of Engineering (30 minutes): This interview is a combination of technical and cultural fit assessment. You will cover the technical experience and the skills that you brinand have an opportunity to ask any questions about the team’s culture or vision.\n\n* Culture fit interview with Phaidra’s co-founders (30 minutes): This interview focuses on alignment with Phaidra’s values\n\n\nBase Salary\n\nUS Residents: $115,200-$208,800/year\n\nUK Residents: £96,400-£144,000/year\n\nThis position will also include equity.\n\nThese are best faith estimates of the base salary range for this position. Multiple factors such as experience, education, level, and location are taken into account when determining compensation. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, Python, DevOps, Cloud, API, Senior, Engineer and Backend jobs that are similar:\n\n $65,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSeattle, Washington, United States

Who Are We?\n\nPostman is the world's leading collaboration platform for API development. Postman's features simplify each step of building an API & streamline collaboration to help create better APIs—faster. More than 30 million developers & 500,000 organizations worldwide use Postman today. After receiving Series D funding in 2021 & releasing our biggest & best version ever of Postman in September 2022, we continue to strive humbly towards our mission of 100 million connected developers & serving companies as they seek to innovate in an API-first world. \n\nP.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture & our vision at Postman.\nThe Opportunity\n\nOur customer base is growing faster than ever. We are looking for an experienced leader to advance our Enterprise Solutions Architecture program and manage an existing team of expert Postman Solutions Architects.  You will be responsible for day-to-day team management and coaching, exploring new ways to improve our post-sales operations, and leveraging analytical insights to ultimately retain and grow our customer base.  You will own the technical aspects of our post-sales process for the Enterprise customer segment. You'll be supported by all other Postman teams - from sales and engineering, to product management, data science, and our executives - to ensure our customers achieve value from their usage of Postman.\n\nThe Solutions Architecture Manager at Postman plays a pivotal role in leading a team who is responsible for delivering technical post-sales support and consultation to our customers. The Solutions Architecture team is composed of experts in APIs and Postman products, who work closely with customers to ensure successful implementation, integration, and utilization of Postman solutions.\n\nThis role is perfect for a visionary leader passionate about creating scalable solutions to enhance customer engagement, satisfaction and retention.\n\nWhat You’ll Do\n\nTeam Leadership:\n\n\n\n\n* Lead and mentor a team of Solutions Architects, fostering a culture of collaboration, technical “know-how”, continuous curiosity, and customer-centricity\n\n* Provide guidance and support to Solutions Architects in resolving technical challenges and addressing customer needs effectively and efficiently\n\n\n\n\n\n\nCross-functional Leadership:\n\n\n\n\n* Partner with leaders in Customer Success, Sales, Solutions Engineering, and other GTM teams to develop processes and resources that accelerate customer adoption of Postman\n\n* Collaborate with Product and Engineering teams to convey and advocate for customer feedback and enhancement requests that will improve customer satisfaction and address their key use cases, serve as the voice of the customer within the organization\n\n\n\n\n\n\nCustomer Consultation:\n\n\n\n\n* Collaborate with Sales, Solutions Engineering, and Customer Success teams to understand customer use cases and develop tailored solutions that meet their needs\n\n* Build strong relationships with customers, fostering long-term partnerships and driving customer satisfaction and loyalty\n\n* Advise on consultations with key customer stakeholders by assessing technical requirements and offering recommendations for optimal API development workflows\n\n* Work closely with Solutions Architects and customers to design and architect scalable and robust solutions using the Postman platform\n\n\n\n\n\n\nTechnical Expertise:\n\n\n\n\n* Stay abreast of industry trends, emerging technologies, and best practices related to API development methodologies and workflows\n\n* Act as a subject matter expert on the Postman platform, providing insights and guidance to both internal teams and external customers\n\n\n\n\n\n\nData-driven Strategy and Knowledge Sharing:\n\n\n\n\n* Leverage data analytics to identify trends and areas of improvement in how we can deliver value to customers\n\n* Develop and maintain technical documentation, best practices, and use case examples to enable customers to maximize the value of Postman solutions\n\n* Facilitate knowledge sharing sessions and workshops internally to enhance the technical expertise of the Solutions Architecture team\n\n\n\n\n\n\nAbout You\n\n\n* Strong technical background from a Bachelor's degree in Computer Science/Engineering, a related field, or relevant work experience\n\n* 3+ years leading customer-facing technical teams, or similar, with a track record of driving business growth\n\n* Strong experience with the enterprise SaaS sales process and customer relationship management\n\n* Skilled at problem-solving, decision-making, and ability to navigate challenging situations professionally with an extreme focus on being customer-centric\n\n* 5+ years of enterprise solutions architecture or sales/solutions engineering experience\n\n* 2+ years of software development experience\n\n* Comfortable engaging and working with all levels of technologists from individual developers, development teams, QA teams, architects, product managers, and engineering and product management leaders\n\n* Experience with engaging senior management and executive audiences to convey Postman's value proposition\n\n* Strong understanding of APIs, and experience with producing and consuming with APIs across different domains\n\n* Strong understanding of modern development methodologies and DevOps with an appreciation of the software development life cycle\n\n* Familiar with typical developer tooling: IDEs, Git, CI/CD, monitoring services, microservices, containers, cloud computing services, etc.\n\n* Great communication skills (presentation, verbal and written)\n\n* Enjoys a fast-paced environment and loves teamwork and collaboration\n\n\n\n\n \nOur Values\n\nAt Postman, we create with the same curiosity that we see in our users. We value transparency & honest communication about not only successes, but also failures. In our work, we focus on specific goals that add up to a larger vision. Our inclusive work culture ensures that everyone is valued equally as important pieces of our final product. We are dedicated to delivering the best products we can.\nWhat Else?\n\nThis is a remote role with a salary range of $157,000 - $212,000, plus a competitive equity package. Postman has an informal and fun working team environment. We believe in a hybrid workplace, and although this role is remote, there will be opportunities for you to meet and collaborate with teammates from around the globe. We offer comprehensive medical, dental, and vision insurance, and cool perks. Our employees enjoy unlimited PTO because we believe everyone should take the time off needed to refresh, relax, and reflect. Our wellness program offers fitness-related reimbursements, a meal stipend, home office set-up reimbursement, internet reimbursement, book reimbursements for professional development, and a training platform for continued learning and education for personal growth. Also, our donation-matching program can support causes you care about. We’re creating a long-term company, and we want you to be part of it. Join us and become a Postmanaut!\nEqual Opportunity\n\nPostman is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Postman does not accept unsolicited headhunter and agency resumes. Postman will not pay fees to any third-party agency or company that does not have a signed agreement with Postman.\n\nPostman will consider for employment qualified applicants with arrest and conviction records where directed under applicable law, such as pursuant to the San Francisco Fair Chance Ordinance. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Design, SaaS, DevOps, Education, Cloud, API, Senior and Sales jobs that are similar:\n\n $60,000 — $110,000/year\n
\n\n#Benefits\n 💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n