Mindrift is looking for skilled Low-Code Automation Engineers (Make.com / n8n, JavaScript) to join the Tendem project (https://tendem.ai/) and build robust automation workflows within our hybrid AI + human environment. In this role, as an AI Pilot – that’s how we refer to this position at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide automation expertise, structured thinking, and quality control to ensure reliable and scalable workflow execution across multiple systems. This part-time remote opportunity is ideal for professionals with hands-on experience in low-code automation platforms, workflow architecture, and JavaScript-based customization. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Low-Code Automation Engineer, you'll design, build, and optimize advanced automation workflows across multiple platforms, ensuring reliable execution, scalability, and efficient data handling within integrated systems. Key Responsibilities - Design and evaluate complex automation workflows across business tools and platforms. - Build and optimize workflows using low-code platforms (Make.com, n8n), APIs, webhooks, and event-based logic. - Implement custom JavaScript within automation tools to handle advanced logic, transformations, and edge cases. - Connect and synchronize data across platforms (Airtable, Google Sheets, Notion, CRMs, or similar systems). - Ensure reliable execution of workflows with proper error handling, logging, and fallback mechanisms. - Troubleshoot and improve automation performance, reduce failures, and optimize efficiency. - Support automation of communication and operational workflows (e.g., messaging, outreach, notifications). Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift is looking for skilled Low-Code Automation Engineers (Make.com / n8n, JavaScript) to join the Tendem project (https://tendem.ai/) and build robust automation workflows within our hybrid AI + human environment. In this role, as an AI Pilot – that’s how we refer to this position at Mindrift – you’ll collaborate with Tendem Agents that handle repetitive tasks, while you provide automation expertise, structured thinking, and quality control to ensure reliable and scalable workflow execution across multiple systems. This part-time remote opportunity is ideal for professionals with hands-on experience in low-code automation platforms, workflow architecture, and JavaScript-based customization. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a Tendem project. As a Low-Code Automation Engineer, you'll design, build, and optimize advanced automation workflows across multiple platforms, ensuring reliable execution, scalability, and efficient data handling within integrated systems. Key Responsibilities - Design and evaluate complex automation workflows across business tools and platforms. - Build and optimize workflows using low-code platforms (Make.com, n8n), APIs, webhooks, and event-based logic. - Implement custom JavaScript within automation tools to handle advanced logic, transformations, and edge cases. - Connect and synchronize data across platforms (Airtable, Google Sheets, Notion, CRMs, or similar systems). - Ensure reliable execution of workflows with proper error handling, logging, and fallback mechanisms. - Troubleshoot and improve automation performance, reduce failures, and optimize efficiency. - Support automation of communication and operational workflows (e.g., messaging, outreach, notifications). Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Who We Are: NCC/Promax is a leader in providing cutting-edge software solutions for the automotive industry. Our software helps dealerships streamline their operations, enhance their finance and insurance (F&I) processes, and drive profitability. OVERVIEW: We are seeking an experienced AI/ML Engineer to design and deploy intelligent systems that enhance dealer workflows and unlock insights from dealership data. This role will focus on building data-driven systems that improve decision-making, optimize processes, and surface meaningful insights across our automotive SaaS platform. The ideal candidate combines strong software engineering fundamentals with experience developing AI/ML-driven solutions in production environments. This is a hands-on engineering role working at the intersection of intelligent systems, enterprise SaaS, and data-driven decision support Why This Role Matters This role will help embed intelligent decision support directly into our automotive SaaS platform — improving operational efficiency, increasing consistency across workflows, and unlocking greater value from dealership data. The Machine Learning Engineer will play a central role in shaping how intelligence is integrated into the next generation of our platform. What You’ll Do: Intelligent Decision & Optimization Systems - Design and implement data-driven systems that enhance decision-making across dealer workflows - Develop predictive or optimization logic using structured dealership data - Translate business objectives into scalable intelligent services - Improve consistency, accuracy, and efficiency in operational processes - Ensure solutions are explainable, reliable, and aligned with enterprise and regulatory expectations Data & Knowledge Systems - Build systems that extract insights from structured dealership data (CRM, DMS, transactional records) - Implement knowledge retrieval or search capabilities across policies and documentation where appropriate - Collaborate with product teams to surface actionable intelligence within dashboards and workflows Model Deployment & Integration - Design and deploy containerized AI services within AWS (ECS/Fargate) - Integrate intelligent services into existing APIs and application workflows - Monitor system performance, reliability, and integrity - Ensure data security, auditability, and compliance alignment What You’ll Have: - 8+ years of software engineering experience - 2+ years building and deploying AI/ML systems in production environments, with strong experience in Python-based data and ML development preferred - Experience working with structured data and predictive or decision-support systems - Experience deploying cloud-based services (AWS preferred) - Understanding of secure API design and enterprise application architecture Preferred Qualifications - Experience in fintech, lending, automotive retail, or other regulated environments - Experience building risk scoring, fraud detection, or optimization systems - Familiarity with LLM integration or knowledge retrieval systems - Understanding of model explainability and monitoring concepts - Experience working with CRM or financial transaction platforms What We’re Looking For - An engineer who can move from concept to deployed solution - Strong problem-solving skills in data-driven environments - Ability to translate business objectives into intelligent systems - Ability to work independently, take initiative, and drive projects from concept through deployment - Comfortable working cross-functionally with product and leadership - High ownership mindset and pragmatic decision-making Core Values: We are looking for a leader who embodies our values: - One Team: We are transparent, collaborative, and aligned. - Customer Obsessed: We are a partner, not a vendor. - Forward Focused: We challenge ourselves and the norm to innovate continuously. - Act Now: We don’t put off to tomorrow what we can do today. - Results Driven: We act with purpose to deliver value for our clients and our company. What We Offer: - Competitive pay - Unlimited PTO - Comprehensive benefits package, including health, dental, and vision insurance. - 401(k) plan with company match. - Professional development opportunities and continuous training. - A supportive and dynamic work environment with opportunities for growth and advancement. We are an equal employment opportunity employer and a drug-free workplace. Texting Privacy Policy and Information: You may receive text messages regarding your application and potentially regarding interview scheduling. No mobile information will be shared with third parties/affiliates for marketing/promotional purposes Message frequency will vary depending on the application process. Msg & data rates may apply. OPT out at any time by texting "Stop".

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: The AI Engineer will help define, architect, and implement / project manage how artificial intelligence is applied across Planet's marketing organization to improve efficiency, scalability, and performance. This role will identify opportunities to integrate AI into marketing workflows, campaign development, and marketing operations, while helping build the technical infrastructure in tandem with the corporate engineering team that powers pipeline generation and customer acquisition. This person will work cross-functionally with Growth Marketing, Marketing Operations, Revenue Operations, Product Marketing, Corporate Engineering, and Data teams to introduce AI-driven systems and automated agents that improve campaign velocity, marketing insights, and pipeline impact. The ideal candidate is a builder at heart who combines marketing and revenue operations knowledge with a technical mindset to help translate emerging AI capabilities and business needs into scalable GTM systems. Impact You'll Own: - Identify gaps, create strategy for, and implement AI across marketing workflows including campaign execution, content production, analytics, and marketing operations. From concept, through execution. - Architect and build an AI-first GTM engine that identifies, engages, and converts high-value customer segments through automated lead research and qualification systems. - Use AI to spearhead complex data analytics and build GTM data optimization layers to report on funnel performance and revenue attribution. - Partner with Growth and regional marketing teams to apply AI to campaign planning, structured messaging experimentation loops, and audience targeting. - Collaborate with Marketing Operations, RevOps, and Corporate Engineering to integrate new AI tools and automated outreach sequences into existing CRM and marketing automation platforms. - Work with Corporate engineering to evaluate emerging AI technologies and vendors, selecting tools that build a robust GTM technology stack. - Develop internal playbooks and frameworks for how marketing teams should use AI tools in their daily work. - Support AI-driven experimentation including creative testing, automated messaging variations, and landing page drafts. - Help train marketing teams on AI capabilities, best practices, and responsible use of AI technologies. - Lead, monitor, and report on the impact of AI initiatives across campaign velocity, marketing efficiency, and pipeline generation. - Work closely with cross-functional teams to ensure AI initiatives align with Planet's mission to make global change visible, accessible, and actionable. What You Bring: - 5+ years of experience in software engineering, data analytics, or automation engineer with at least 1 year building production-grade AI systems. - Hands-on experience working with LLMs (OpenAI, Anthropic, open-source), including prompt design, evaluation, and iteration - Experience building agentic workflows that take actions (not just generate text), including tool use, chaining, and structured outputs - Demonstrated ability to design and build complex operational systems from scratch that support marketing, sales, or revenue teams. - Experience working in marketing technology platforms such as CRM systems (Salesforce), marketing automation tools (Marketo), and data enrichment platforms. - Experience implementing artificial intelligence tools including generative AI, workflow orchestration tools, and AI-powered analytics platforms. - Experience improving marketing workflows through automation, process design, or technical system implementation. - Ability to translate technical capabilities into practical marketing applications and automated engagement sequences that support business goals. - Experience working cross-functionally with marketing, operations, product, corporate engineering, and data teams. - Strong analytical thinking and the ability to interpret market data and customer signals to evaluate the impact of marketing initiatives. - Excellent communication skills and the ability to help teams adopt new tools and processes. - Comfort operating in ambiguous, fast-moving environments where systems and processes are being built for the first time. What Makes You Stand Out: - Experience applying AI to marketing functions such as campaign development, content production, experimentation, or personalization, reporting, analytics, and personalization. - You’ve built AI systems that directly impacted revenue, growth, or operations (not just demos or prototypes) - Familiarity with marketing AI tools such as generative content platforms, AI analytics tools, or AI-native GTM enhancements. - Experience building internal frameworks or playbooks for new technology adoption. - Experience working in high-growth technology companies or data-driven marketing environments. - Strong technical curiosity regarding how automation and AI can reshape traditional revenue workflows. Application Deadline: July 14, 2026 Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. - Comprehensive Medical, Dental, and Vision plans - Health Savings Account (HSA) with a company contribution - Generous Paid Time Off in addition to holidays and company-wide days off - 16 Weeks of Paid Parental Leave - Wellness Program and Employee Assistance Program (EAP) - Home Office Reimbursement - Monthly Phone and Internet Reimbursement - Tuition Reimbursement and access to LinkedIn Learning - Equity - Commuter Benefits (if local to an office) - Volunteering Paid Time Off Compensation: The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. San Francisco Salary Range $128,400—$160,500 USD US National Salary Range $112,900—$141,100 USD San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you’re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy: By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process: Planet is committed to providing an exceptional interview experience for all candidates. We are currently exploring AI interviewing technologies to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a Planet AI Notetaker for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy: Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions. If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.