Manufacturing Solutions Engineer

🏢 Summary: Forward Deployed Engineer role focused on embedding with enterprise customers to design, build, and ship integrated solutions on top of an AI-driven logistics data platform. You will lead technical discovery, integrate complex legacy systems (ERP, TMS, EDI, payments), and deliver production-ready solutions that drive measurable client results. The position combines hands-on engineering, customer-facing ownership, and early-stage function building in a high-growth environment. 🗂️ Requirements: 3-5 years of software engineering experience, Hands-on integration experience with enterprise systems (ERP, TMS, EDI, payment systems or similar), Strong production-level coding ability, Experience shipping end-to-end solutions in early-stage or high-growth environments, Ability to work in ambiguous, customer-facing environments with minimal oversight, Strong ability to translate technical constraints into business language 📃 Skills: APIs, EDI, ERP, TMS, Payments, Integration, Data, LegacySystems 🏢 Description: About You Loop is bringing AI to an industry that still runs on PDFs, phone calls, and tribal knowledge. You are 75% engineer, 25% product-founder mind. You write production code and navigate legacy systems with equal confidence, and translate customer needs into buildable requirements. You have real integration experience with enterprise customer systems. As a Forward Deployed Engineer, you will operate embedded with customers, learning their operations and building working solutions that drive client results and feed product direction. You own the problem end-to-end, from commercial discovery through technical delivery. This is an engineering role with autonomy to shape how an early-stage function operates. This role is on-site 4+ days per week through a combination of customer visits and in-person collaboration. What You'll Do - Qualify opportunities and lead technical discovery: map customer systems, assess technical fit, and produce scoped project plans. - Embed with customers to build and ship working solutions, iterate on feedback, and deliver a working v1 using platform primitives or custom builds. - Integrate customer systems with the platform including APIs, EDI feeds, ERPs, TMS platforms, and payment systems, handling complex underlying data. - Own customer relationships and deployment timelines, run meetings and demos, and travel to customer sites as needed. - Debrief deployments to identify repeatable patterns and productization opportunities. - Help refine processes and contribute to the team playbook. Qualifications - 3-5 years of software engineering experience. - Hands-on integration experience with enterprise customer systems such as ERPs, TMS platforms, EDI feeds, payment systems, or comparable legacy environments. - Strong coding skills meeting a high engineering bar and comfort navigating legacy systems. - Experience at early-stage or high-growth companies delivering end-to-end solutions. - Comfortable in ambiguous, customer-facing environments. - Strong communication skills across technical and business stakeholders. Nice to Have - Experience owning full-cycle customer deployments from discovery to shipping v1. - Background as Forward Deployed Engineer, implementation engineer, technical founder, field engineer, or applied AI engineer deploying into enterprise workflows. - Domain experience in supply chain, logistics, freight, or transportation. - Founder experience or leading technical initiatives from zero. Compensation and Benefits - Base salary range: $150,000 to $260,000 annually. - Eligibility for equity. - Health, dental, and vision insurance. - 401(k) match. - Paid time off and paid holidays. - Parental leave.

🏢 Summary: End-to-end software engineering role focused on building and shipping high-quality product features across frontend and backend in a fast-moving, autonomous team. The position emphasizes pixel-perfect UI/UX, strong architectural thinking, and full ownership from design to deployment. Engineers operate with high trust and direct impact on a learning and research-focused product. 🗂️ Requirements: Expert-level software engineering experience, Strong proficiency in TypeScript, Experience with SvelteKit for frontend development, Experience with Node.js for backend development, Experience with Fastify, Experience with PostgreSQL, Experience with DDD patterns, Experience with CQRS patterns, Experience with Playwright for testing, Ability to build pixel-perfect UI implementations, Ability to design and ship end-to-end features across frontend and backend, Experience working with queues, Basic proficiency in Python for ML components 📃 Skills: TypeScript, SvelteKit, Tailwind, DaisyUI, Playwright, Node.js, Fastify, PostgreSQL, Python, DDD, CQRS, Queues 🏢 Description: ABOUT THE ROLE We're looking for an expert software engineer with an exceptional eye for UI/UX to join a small, high-trust engineering team. You'll own features end-to-end — from pixel-perfect frontend work to shipping backend functionality when needed. This is not a siloed role. You'll move fast, make real decisions, and have direct impact on a product used by people who care deeply about learning and research. We don't have managers. We have engineers who own their work. TECH STACK The stack is heavily TypeScript. On the frontend: SvelteKit, Tailwind, DaisyUI, and Playwright, with DDD and CQRS patterns. On the backend: Node.js, Fastify, PostgreSQL, and queues. ML components are in Python. The stack is pragmatic, not dogmatic — tools may shift as the product evolves. WHAT WE LOOK FOR Elite communication You set accurate expectations and live up to them. No surprises, no ambiguity about status or blockers. Deep resilience Bugs, crises, tough reviews — you have a large buffer before stress impacts your output. You don't crack under pressure. No ego We're here to build something great, not to manage insecurities. The best idea wins, regardless of who had it. Product mastery You understand the engineering principles behind the best software ever made — and care deeply about the difference between good and great. Independent and obsessive by nature You go deep on everything you touch. You're a lifelong learner who can't help but care about quality. Being an ex-founder is a bonus. ENGINEERING CULTURE Optional code reviews We trust you. Merge when you're ready. Ask for a second pair of eyes when you want one. Radical autonomy We don't second-guess your decisions. You own the call. High-bandwidth collaboration Constant communication means everyone has context without formal gates or status meetings. Direct feedback Code reviews are blunt, concise, and respectful. We say what we mean. Ruthless efficiency We aggressively adopt any tool — AI included — that increases speed and leverage. Limited frontend test coverage Supplemented by strong architecture and top talent, not bureaucratic QA processes. RECRUITMENT PROCESS Recruiter screening — a short intro call to align on basics. 1-on-1 with the engineering lead — a conversation about how you think and work. Technical challenge (~4 hours) — use AI, Google, or any resource you need. We care about the result, not the method. One-month paid contract — with the possibility to extend indefinitely. Honest, frequent feedback throughout so you always know where you stand. COMPENSATION & BENEFITS Salary $100,000 – $150,000 depending on experience. Equity and profit share Core team members receive both equity and profit share as part of the compensation package. Unlimited PTO Use your own judgement — we won't count days. Steep learning curve You'll grow faster here than almost anywhere else — by design, not accident. Real ownership No managers capping your authority. You own your work end-to-end, with the full trust of the team behind you.

🏢 Summary: This role leads AI-driven transformation across enterprise business applications, focusing on automating complex workflows and enhancing data integrity within platforms like Salesforce and FinancialForce. The position combines strategic product ownership with hands-on GenAI prototyping to validate and scale AI solutions in real-world business processes. It bridges AI capabilities with enterprise systems to drive operational efficiency and clarity for engineering teams. 🗂️ Requirements: 8+ years of Product Management experience in Enterprise Applications or Business Systems, Proven delivery experience within Salesforce, FinancialForce, or Namely ecosystems, Hands-on experience using GenAI tools to build functional prototypes, Understanding of LLM limitations and RAG integration in business workflows, Deep experience with Salesforce AI (Einstein) or Namely, Experience with Order-to-Cash (O2C) processes and revenue operations 📃 Skills: AI, GenAI, LLM, RAG, Salesforce, Einstein, FinancialForce, Namely, Cursor, Replit, APIs, O2C 🏢 Description: Staff Product Manager, Enterprise Business Applications (Hybrid 2-3 days per week onsite) Overview: This role leads the application of AI across Weedmaps’ enterprise systems, combining product ownership with hands-on experimentation to transform how business processes operate. The individual will prototype, validate, and scale AI-driven solutions across Salesforce, FinancialForce, and other platforms, focusing on automating complex workflows and improving data consistency. Success in this role requires both strategic judgment and technical fluency—using AI-native tools to rapidly test ideas and drive clarity for engineering teams. This role is a critical bridge between emerging AI capabilities and real-world business impact. The impact you'll make: Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, FinancialForce, Namely) and internal business process automation Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, and Sales applying AI to automate complex Order-to-Cash processes, etc. Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained Golden Set Curation: Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios What you've accomplished: Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst Domain Expertise: Proven track record of delivering high-impact features within SFDC, FinancialForce, or Namely ecosystems Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements and reduce ambiguity for Engineering AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations The base pay range for this position is $194,200 - $214,704 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

🏢 Summary: Hybrid Staff Product Manager role leading the application of AI across enterprise business systems, driving automation and data integrity within Salesforce, FinancialForce, and related SaaS platforms. The position combines strategic product ownership with hands-on GenAI prototyping to validate and scale AI-driven workflow solutions. Focused on integrating LLM and RAG capabilities into real-world business processes such as Order-to-Cash. 🗂️ Requirements: 8+ years Product Management for Enterprise Applications or Business Systems, Experience delivering features within Salesforce, FinancialForce, or Namely ecosystems, Hands-on GenAI prototyping using AI-native tools, Understanding of LLM constraints and RAG integration in business workflows, Deep experience with Salesforce AI (Einstein) or Namely, Knowledge of Order-to-Cash (O2C) and revenue operations, Ability to define AI accuracy standards and error budgets, Experience building prototypes integrating enterprise APIs 📃 Skills: Salesforce, FinancialForce, Namely, Einstein, GenAI, LLM, RAG, APIs, Cursor, Replit 🏢 Description: Staff Product Manager, Enterprise Business Applications (Hybrid 2-3 days per week onsite) Overview: This role leads the application of AI across Weedmaps’ enterprise systems, combining product ownership with hands-on experimentation to transform how business processes operate. The individual will prototype, validate, and scale AI-driven solutions across Salesforce, FinancialForce, and other platforms, focusing on automating complex workflows and improving data consistency. Success in this role requires both strategic judgment and technical fluency—using AI-native tools to rapidly test ideas and drive clarity for engineering teams. This role is a critical bridge between emerging AI capabilities and real-world business impact. The impact you'll make: Enterprise AI Roadmap: Own a roadmap that prioritizes AI-powered enhancements specifically for SaaS Ecosystems (Salesforce, FinancialForce, Namely) and internal business process automation Workflow Integration: Partner with business units to identify manual bottlenecks in Finance, HR, and Sales applying AI to automate complex Order-to-Cash processes, etc. Implementation Prototyping: Use AI-native tools (Cursor, Replit) to build and iterate on functional prototypes that validate how AI agents interact with standard and proprietary enterprise APIs Operational Standards: Define 'Error Budgets' and accuracy standards for AI outputs within business-critical systems, ensuring brand voice and data integrity are maintained Golden Set Curation: Create and version-control "Golden Sets"—definitive datasets derived from our internal enterprise data—to grade AI performance in real-world business scenarios What you've accomplished: Experience: Staff level: 8+ years; Principal level: 12+ years of experience in Product Management for Enterprise Applications or Business Systems Analyst Domain Expertise: Proven track record of delivering high-impact features within SFDC, FinancialForce, or Namely ecosystems Technical Literacy: Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements and reduce ambiguity for Engineering AI Application: Understanding of LLM constraints (context windows, hallucinations) specifically as they relate to integrating RAG implementations into functional business workflows Platform Mastery: Deep experience with Salesforce AI (Einstein) or Namely Business Transformation: Knowledge of Order-to-Cash (O2C) transformation and revenue operations The base pay range for this position is $177,441 - $193,800 per year 2026 US Benefits for Full Time, Regular Employees: Physical Health (Medical, Dental & Vision) 100% employer-paid premium for employees Up to 80% coverage for dependents Company HSA contribution with the High Deductible Health Plan 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution) Basic Life, Voluntary Life and AD&D Insurance options Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings with a monthly company contribution FSA (Medical, Dependent, Transit and Parking) Voluntary Life and AD&D Insurance Critical Illness Insurance Accident Insurance Short- and Long-term Disability Insurance Pet Insurance Identity theft protection Legal access to a network of attorneys PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown) Paid parental leave Why Work at Weedmaps? Life at Weedmaps means innovation and heart. Come join us if you care about the plant, the people who love it, and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed, and the community that supports it. You too can have a hand in shaping the industry’s future; ready to roll with us? See how we’ve grown—our journey, leadership team, and what’s next at Weedmaps.com/corporate About Weedmaps: Founded in 2008, we’ve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency, education, and community has set us apart, and today, we proudly serve cannabis to consumers and businesses in the U.S. and worldwide. “Freedom to choose. Freedom to access. Freedom to enjoy.” Notice to prospective Weedmaps job applicants: Our team has been made aware of incidents involving LinkedIn, Telegram, and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts, but in the meantime, please be mindful of the following: Our recruiters will always communicate with candidates through an @weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply, interview, or work for Weedmaps. If you are interested in a role at Weedmaps, please apply through our established channels. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us! Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. Applicants are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws, unless the accommodation presents undue hardship. Please email us at peopleoperations at weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process.

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

🏢 Summary: Opportunity to join an AI Ops team building and scaling AI-powered automation systems for global supply chain operations, partnering closely with engineering, product, and customers to drive adoption and deliver measurable value. The role focuses on deploying intelligent workflows, translating complex technical systems for users, and embedding with customer and operations teams to enhance execution. This is an onsite position in Chicago, San Francisco, or New York City. 🗂️ Requirements: College degree in analytics, finance, economics, STEM or related quantitative field, 1+ year experience in technology, data analysis or other technical quantitative field, Ability to understand complex technical systems and translate them for users, Experience working cross-functionally with engineering, product, or operations teams, Onsite availability 4+ days per week in Chicago, San Francisco, or New York City 📃 Skills: SQL, Python, Excel, Automation, Data, AI 🏢 Description: About the Role Loop is building an AI ops team that will own key automation and intelligence systems as Loop builds and scales them across its customer base. The team is disrupting traditional operations with AI-powered workflows that create 100X leverage for users, turning operators into analysts. Responsibilities include close partnership with engineering and product teams, internal roll-out of new systems and products, and driving adoption across the user base. This role requires a deep understanding of systems and their users (internal and external), the ability to translate complex technical work to everyday users, and strong problem-solving skills. This is an in-person role based in Chicago, San Francisco, or New York City, with the expectation of being onsite 4+ days per week. What You'll Do - Accelerate delivery of new product capabilities for global brands by understanding how customer outcomes are driven - Embed with customer, product, and operations teams to deliver increased customer value - Partner with AI engineers to deploy systems and products that automate workflows, reduce manual work, and improve user experience - Demonstrate strong execution skills and deep knowledge of the product offering and customer pain points - Build and maintain relationships with internal customer-facing stakeholders to ensure value delivery About You - College degree with a quantitative background in analytics, finance, economics, or similar STEM field - 1+ years of work experience in technology, data analysis, or other technical and quantitative fields - Ability to balance eagerness to learn with strong execution and problem-solving skills - Team-oriented mindset with interest in fast-paced, high-growth environments - Advanced Excel skills and SQL, Python, or other programming experience are a plus Compensation and Benefits The base pay range for this role is $80,000 to $125,000 annually, depending on experience, skills, qualifications, location, and business needs. In addition to base salary, the role may be eligible for equity. Benefits include health, dental, and vision insurance, 401(k) match, paid time off, paid holidays, and parental leave. Equal Opportunity The company is an equal opportunity employer committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration without regard to legally protected characteristics.

🏢 Summary: Backend Engineer on the Client Integrations team building and maintaining external-facing APIs that power insurers’ core workflows. The role focuses on designing API endpoints, optimizing database performance, integrating third-party services, and delivering scalable cloud-based backend solutions. You will collaborate with cross-functional engineering teams to improve platform reliability, performance, and usability. 🗂️ Requirements: 5+ years of software engineering experience, Experience building external-facing APIs, Experience integrating third-party systems, Strong system design fundamentals, Strong debugging and problem-solving skills, Proficiency in Python or other object-oriented language, Experience with serverless technologies, Experience with cloud environments, Experience with relational databases (PostgreSQL) 📃 Skills: Python, API, PostgreSQL, Lambda, EC2, SQL, Serverless, Cloud, LLM, DistributedSystems 🏢 Description: About Kalepa: Insurance is a $7T global industry built on professional labor: underwriting, claims, pricing, operations, and distribution. Kalepa is building AI that can perform that work. We create professional-grade AI systems for insurers: software that can read, reason, decide, and act inside real workflows and operate over long-time horizons. Kalepa begins by augmenting professionals with the tools to succeed at their jobs. That earns us the right to learn from real decisions, capture decision traces, and automate what can be automated successfully over time. Our products are already in production with leading insurers, driving measurable outcomes and expanding across functions. The opportunity is far broader than any single workflow: to build the AI operating system for decision-making across insurance. For people who want to work on AI that matters, in a sector where correctness, trust, and real-world impact count, Kalepa is just getting started. Kalepa is backed by leading investors such as IA Ventures and Inspired Capital, and our team brings experience from Facebook, Palantir, Google, Amazon, McKinsey, Mastercard, and Uber. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees. Success at Kalepa is bred from five core principles: Hustle and Determination - We hire people who take full ownership of their craft and relentlessly pursue excellence with speed and determination. We choose the hard problems and do not give up. This is the foundation of how we work and how we win. Deliver Customer Impact - We're obsessed with customer impact. Every feature, every line of code, every decision is measured against one question: does this help insurers make better decisions? If it doesn't drive speed, accuracy, or profitability for our customers, we don't build it. Meritocracy - We're building something exceptional, and that requires exceptional people and ideas. We have a high bar but we reward excellence with rapid growth. If you're the best at what you do, you'll thrive here. Transparency - We value honest, transparent communication over politics. We challenge ideas, not people. We say what needs to be said, even when it's hard. This is how we solve problems fast and find the truth. Experiment Relentlessly - Many of the problems we face have never been solved before. We tackle them by testing quickly, measuring rigorously, and iterating until we find the path forward. Speed of learning is our advantage. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon | 2025 - Cartagena). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Salary range: $80k – $165k USD* We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work. As part of the Client Integrations team, you will work on the external-facing APIs that power our customers’ core workflows. Your day-to-day will involve designing and building API endpoints, improving database and query performance, and integrating with a wide range of third-party services. You’ll translate product requirements into reliable business logic, help diagnose and resolve customer issues, and contribute to making our platform faster, more stable, and easier to use. You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow. We're a small team where individual contributions have an outsized impact on both our technology and our business. You'll be right at home if you: Have 5+ years of software engineering experience, ideally with time spent building external-facing APIs or designing integrations with 3rd party systems. Embody hustle and grit, you're excellent at your craft and relentless in pursuing it. Take full ownership of your work and drive projects to completion with minimal oversight. Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop. Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before. Have strong fundamentals in system design, debugging, and problem-solving. Know Python (our main stack), though we're open to strong candidates from other OO backgrounds. Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments. Are comfortable with relational databases, ideally PostgreSQL. Bonus: experience with LLMs/generative AI, distributed systems. What you’ll get: Competitive salary (based on experience level)*. Significant equity options package. Work with an ambitious, smart, global, and fun team to transform a $7T global industry. 20 days of PTO a year. Global team offsites. Gym reimbursement. Phone reimbursement. Student stipend. * The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range.

🏢 Summary: Full Stack Engineer role building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and enterprise systems. The position involves end-to-end development across frontend, backend, and databases, with strong ownership and direct customer impact. Candidates will work in a fast-paced seed-stage environment with high accountability and real-world deployment exposure. 🗂️ Requirements: Experience shipping production software end-to-end, Strong proficiency in TypeScript, Strong proficiency in JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL databases, Experience designing database schemas and data models, Understanding of testing, documentation, and code review best practices, Ability to work in fast-moving, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing, Documentation, CodeReview 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.

🏢 Summary: Full Stack Engineer role focused on building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and ERP systems. The position involves end-to-end development across frontend, backend, and databases, delivering customer-driven features in high-stakes environments. Engineers take ownership of production systems, ensuring scalability, reliability, and code quality. 🗂️ Requirements: Proven experience shipping production software end-to-end, Strong proficiency in TypeScript and JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL and database design, Experience with PostgreSQL, Ability to integrate with legacy and external enterprise systems, Understanding of testing, code reviews, and documentation practices, Ability to work in fast-paced, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.