Role Description You’ll run a small group inside our R&D function whose mission is to validate new product bets quickly. We move from “is this worth building?” to a working prototype in weeks, not quarters. You set the research direction, decide what to build and how, and lead the team to get it in front of users and stakeholders fast. This is a builder-leader role: roughly hands-on coding alongside the team, with the rest spent on strategy, planning, and unblocking people. - Own the technical vision and execution for a portfolio of PoCs, from initial research through working prototype. - Lead a small engineering team — set direction, review work, grow people, and keep the group focused and motivated. - Run lightweight research: scope a problem, survey the landscape, form a hypothesis, and define what a successful prototype must prove. - Translate fuzzy ideas into concrete plans with clear milestones, then execute against them. - Build fullstack — backend services, frontends, data pipelines, and the glue between them. - Work AI-first: use AI tooling to accelerate development, and build products that embed LLMs, agents, retrieval, and related techniques where they create real value. - Make pragmatic build-vs-buy and “good enough for a PoC” calls, balancing speed against the parts that need to be solid. - Partner with product, design, and leadership to decide which bets graduate from prototype to product. Qualifications - Proven technical leadership — has led a team or owned a major workstream, set technical direction, made the call on what to build, and shipped through others. - Strong fullstack engineering with real AI-building depth — production experience across backend and frontend in at least two of C#, Python, and JavaScript/TypeScript. - Genuinely self-directed and motivated — thrives with ambiguity, defines the problem when no one hands it to them, and drives it to a result. Requirements - Cloud experience (AWS, Azure, or GCP) and enough DevOps to ship — CI/CD, containers, getting a prototype deployed, observable, and demo-able. - Working understanding of ETL/ELT, data warehouses, and lakehouse concepts — enough to design a sensible pipeline and reason about how data flows through a prototype. - Hands-on data engineering depth is a bonus, not a requirement. Nice to have - Experience taking a 0→1 product or prototype to real users or market validation. - A standout specialty (distributed systems, ML/AI, frontend architecture, or data engineering) on top of the breadth. - Background in a startup, R&D lab, or innovation team where speed and ownership were the norm. - Familiarity with experiment design, rapid user testing, or other cheap ways to validate an idea. Who you are You’re equally comfortable whiteboarding a research plan, writing the first prototype yourself, and coaching a teammate through theirs. You’d rather ship something rough and learn than polish something no one needs. You can hold the big picture and the implementation detail at the same time, and people want to follow you because you bring clarity and momentum. Benefits - Continuous learning and career growth opportunities - Professional training and English/Spanish language classes - Comprehensive medical insurance - Mental health support - Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more - Flexible working hours - Inclusive and supportive culture

Role Description You are invited to be part of it to #expressyourbest! - Design and implement AI-driven automation workflows across business systems - Build and maintain integrations using REST APIs and external services - Develop and deploy RAG (Retrieval-Augmented Generation) pipelines - Design and implement AI agents and multi-step automated processes - Build MCP servers/tools or similar AI tool-integration frameworks - Collaborate with business stakeholders to translate requirements into scalable solutions - Monitor, evaluate, and improve AI system performance and reliability - Ensure best practices in system design, security, and scalability Qualifications - Strong hands-on experience with REST APIs and system integrations - Proven experience in AI/ML or software engineering with a focus on integrations and automation - Experience building AI agents or automated workflows - Experience with AI development frameworks and LLM-based applications - Practical experience with RAG architecture and vector databases - Strong programming skills (Python preferred) - Ability to work across both technical and business domains Requirements - Experience with business application and integration development - Familiarity with Microsoft Azure (Azure AI Search, Microsoft Foundry, Logic Apps, etc.) - Understanding of business processes and enterprise systems - Experience with workflow orchestration tools or automation platforms Benefits Don't check all the boxes? Don't sweat it. We're passionate about building a diverse team of humans and as such, if you think you've got what it takes in our passionate-and-fun, remote-friendly, fast-paced environment—apply anyway. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role. KORNIT is committed to fostering a diverse and inclusive workplace and is proud to be an equal opportunity employer. We encourage people from all backgrounds to apply. We are committed to ensuring that our technology is made available and accessible to everyone. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.

Role Description BoostDraft is seeking a legal professional whose role extends beyond overseeing internal legal affairs to driving product development and business growth. Leveraging your expertise gained in law firms or corporate legal departments, you will lead the enhancement of our product to solve customer challenges, support enterprise deployments, and drive the overall digitization of the legal sector. Many legal professionals spend a significant portion of their time on tasks like document formatting, correcting inconsistencies, and verifying cross-references, rather than engaging in core legal strategy. BoostDraft addresses these operational inefficiencies through technology, providing an environment where experts can focus on their primary responsibilities. Responsibilities - Product Development Contribution - Logically deconstruct complex legal workflows and collaborate with the development team to define functional requirements. - Bring deep legal expertise to achieve technical excellence through rapid iteration, experimentation, and actionable feedback. - Enterprise Customer Success and Value Maximization - Lead the strategic rollout and adoption of BoostDraft at top-tier law firms and global enterprises. - Lead product adoption and be accountable among BD leadership for continually growing customer satisfaction quantitatively and qualitatively. - Drive account growth by identifying and executing upselling and cross-selling opportunities to increase overall business revenue. Qualifications - Language Proficiency: Native-level fluency in Korean and business-level fluency in English. - Experience: 3+ years of practical experience in a law firm or corporate legal department. Experience managing legal operations is a strong plus. - Mindset: A strong commitment to solving challenges in the legal sector through the application of technology. Requirements - Ability to facilitate smooth discussions on complex requirements and strategies with development teams and overseas members. Benefits - Fully remote working arrangement. - Flexible working time: 6:00 am - 11:30 am / 3:00 pm - 10:00 pm. - Core time: 11:30 am - 3:00 pm. - Virtual Office: Ability to craft a character within a virtual office environment and engage with fellow colleagues through interactive experiences. - 5-day workweek (Saturday, Sunday, Public Holidays / End of Year and New Year holidays set by company). - Full-time employment (Fixed overtime pay included). - 6-month probation period. - Prevention of Passive Smoking: Yes.

Role Description We are looking for an Applied AI Engineer to help build and expand AI-powered product features across our platform, with an initial focus on enhancing our AI Coach experience. This role is ideal for an engineer who enjoys the practical application of generative AI in production environments and works closely with product managers and engineers to translate ideas into production-ready features for customers. You will combine Python development, prompt design, and structured data work to deliver user-facing AI functionality. This is an opportunity to work on high-impact AI features in a real-world fintech environment. What You’ll Do - Build and enhance AI-powered product features in collaboration with product and engineering teams - Write and refine prompts to improve response quality and feature performance - Develop Python-based services and APIs supporting AI workflows - Work with structured data in PostgreSQL and vector-based data systems supporting AI applications - Contribute to feature implementation in FastAPI-based systems - Use AI-assisted development tools to accelerate engineering productivity and experimentation - Participate in technical discussions around feature design and implementation What Success Looks Like - Contribute meaningfully to the delivery of AI-powered product features within your first 60-90 days - Improve usability and quality of AI-generated capabilities - Contribute effectively within sprint-based engineering delivery - Demonstrate strong technical judgment in balancing speed, quality, reliability, and maintainability Qualifications - When applying, please include a brief description of one AI-powered feature, service, or system you helped build or support in production. - 3+ years of software engineering experience - Strong Python development experience - Proven proficiency with AI-powered coding tools (Anthropic's Claude Code preferred) - Experience building backend services or APIs - Experience working with LLM APIs, generative AI services, or AI-enabled capabilities in applications - Strong problem-solving and debugging skills - Ability to collaborate effectively in a cross-functional team Nice to Have - Experience with FastAPI or similar frameworks - Familiarity with prompt evaluation or LLM testing approaches - Experience integrating AI into production SaaS platforms - Experience working in fintech or B2B SaaS Benefits - Build meaningful technology that helps people improve their financial lives - Work on practical AI applications deployed in a live fintech product - Collaborate in a remote-first environment with experienced product and engineering leaders - Competitive compensation, benefits, and equity Compensation The estimated annual base salary range for this role is $125,000 to $155,000, depending on qualifications, experience, and location. This role is also eligible for: - Annual performance bonus - Equity participation - Comprehensive benefits package Actual compensation will be determined based on relevant qualifications, skills, experience, and geographic location. Equal Opportunity Employer BrightPlan is proud to be an equal opportunity employer and to consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability.