Slice

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Strong AI Backend Engineer to join our core R&D team and build the next generation of AI-powered features that simplify global equity management. You’ll design, build and deploy systems and AI agents that extract, understand, and act on complex financial and legal data - in real time. Your work will directly power customer-facing AI interfaces, advanced document automation, and real-time compliance decision engines across the Slice platform. Key Responsibilities • AI & Agent Development: Design, Deploy and Evaluate sophisticated AI agents and workflows integrated directly into Slice’s core SaaS infrastructure. • End-to-End System Engineering: Design, build, and maintain robust backend systems and data pipelines, taking features from initial concept all the way to production. • Core Vertical Impact: Contribute to and drive features across our primary AI focuses, including Document Automation, Customer-Facing Agents, real-time decision engines. • Production Optimization: Continuously evaluate and fine-tune system and model performance for accuracy, latency, scalability, and cost. • Cross-Functional Collaboration: Partner directly with the CTO, platform engineers, product, and design teams to deliver user-facing AI capabilities. • Stay current with advances in LLMs, text analysis, and generative AI to guide product innovation. Requirements Required Qualifications • Core Backend Development: 6+ years of experience in backend engineering (with strong proficiency in Python). • Applied AI Experience: 2+ years of hands-on experience as an AI Engineer, with a proven track record of deploying practical AI/ML systems into real-world production environments. • Agentic Frameworks: Solid experience building and integrating AI agents and workflows using frameworks like LangGraph, LangChain, PydanticAI etc. • Product Ownership: Ability to take projects end-to-end from research to production rollout, while translating product requirements into production-ready engineering solutions. • Communication: Excellent written and spoken English, with strong collaboration skills. Nice to Have • NLP & Text Processing: Familiarity with NLP/ LLM architectures, and text-extraction or document-processing pipelines. • Experience with vector databases or RAG pipelines. • Familiarity with compliance, fintech, or document-intensive domains. • Experience in cloud-based ML deployment (GCP preferred). Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and designers in Tel Aviv. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Strong Backend Engineer to join our core CTO team and build the next generation of AI-powered features that simplify global equity management. You’ll design, build and deploy systems and AI agents that extract, understand, and act on complex financial and legal data - in real time. Your work will directly power customer-facing AI interfaces, advanced document automation, and real-time compliance decision engines across the Slice platform. Key Responsibilities • End-to-End System Engineering: Design, build, deploy and maintain robust backend systems and data pipelines, taking features from initial concept all the way to production. • Core Vertical Impact: Contribute to and drive features across our primary AI focuses, including Document Automation, Customer-Facing Agents, real-time decision engines. • AI & Agent Development: Design, Deploy and Evaluate sophisticated AI agents and workflows integrated directly into Slice’s core SaaS infrastructure. • Production Ownership: Own services in production, monitor system health, troubleshoot complex issues, and drive continuous improvements in reliability, performance, and operational excellence. • Production Optimization: Continuously evaluate and fine-tune system and model performance for accuracy, latency, scalability, and cost. • Cross-Functional Collaboration: Partner directly with the CTO, platform engineers, product, and design teams to deliver user-facing AI capabilities. • Stay current with advances in LLMs, text analysis, and generative AI to guide product innovation. Requirements Required Qualifications • Core Backend Development: 6+ years of experience in backend heavy engineering. • strong proficiency in Python - Must. • Product Ownership: Ability to take projects end-to-end from research to production rollout, while translating product requirements into production-ready engineering solutions. • Experience in cloud-based deployment (GCP preferred). • Communication: Excellent written and spoken English, with strong collaboration skills. Nice to Have • Agentic Frameworks: Solid experience building and integrating AI agents and workflows using frameworks like LangGraph, LangChain, PydanticAI etc. • Applied AI :deploying practical AI/ML systems into real-world production environments. • NLP & Text Processing: Familiarity with NLP/ LLM architectures, and text-extraction or document-processing pipelines. • Experience with vector databases or RAG pipelines. • Familiarity with compliance, fintech, or document-intensive domains. Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and alumni of elite technology units. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Customer Success Manager with a corporate legal background to join our customer-facing team and help companies navigate the legal and operational complexities of global equity management. You’ll work directly with general counsels, founders, and legal teams—guiding them through equity plans, corporate governance workflows, and document-heavy compliance processes. You’ll translate legal foundations into practical workflows inside Slice and collaborate with Product and R&D to influence the next generation of compliance and automation tools. Key Responsibilities ● Lead customer onboarding, training, and long-term relationship management. ● Translate complex legal and financial concepts into clear, actionable guidance inside the Slice platform. ● Proactively identify opportunities to increase product adoption, improve workflows, and surface customer insights to the product team. ● Partner closely with Product, R&D, and Design to improve legal workflows, automation, and document understanding. ● Become a trusted advisor to customers navigating both routine and advanced legal/compliance scenarios. ● Build long-term customer relationships to ensure successful adoption and retention. Required Qualifications ● LLB/JD ● 2+ years as a corporate lawyer, legal associate, or counsel. ● Experience advising founders, legal teams, or VC-backed companies. ● Excellent written English and communication skills. ● Ability to drive projects end-to-end in a fast-paced environment. ● High ability to multitask and manage several matters simultaneously without compromising quality. ● Tech-savvy mindset - comfortable using modern software tools and adapting quickly to a high-tech, product-driven environment. ● Strong customer-facing skills, with experience working directly with clients and delivering a positive, professional experience. Nice to Have ● Experience with equity platforms or cap table systems. ● Exposure to global entities and multi-jurisdiction equity plans. ● Background in startup law, venture financing, or equity compensation structures. Why Join Slice ● Build with purpose: Apply legal expertise to shape global compliance automation. ● High ownership: Work directly on customer-critical workflows with real-world impact. ● Technical depth: Operate at the intersection of legal, product, and financial engineering. ● Collaboration: Partner with top engineers, designers, and product leaders in Tel Aviv. ● Team culture: Ambitious, supportive, and impact-driven. ● Startup energy: Join a fast-growing company backed by leading investors and scaling globally. Requirements ● LLB/JD ● 2+ years as a corporate lawyer, legal associate, or counsel. ● Experience advising founders, legal teams, or VC-backed companies. ● Excellent written English and communication skills. ● Ability to drive projects end-to-end in a fast-paced environment. ● High ability to multitask and manage several matters simultaneously without compromising quality. ● Tech-savvy mindset - comfortable using modern software tools and adapting quickly to a high-tech, product-driven environment. ● Strong customer-facing skills, with experience working directly with clients and delivering a positive, professional experience.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. The Role We are looking for a Customer Success Manager with a tax or accounting background to guide companies through the financial and compliance complexities of global equity compensation. You’ll work directly with CFOs, controllers, and finance leaders, helping them navigate equity-related guidance, valuation inputs, equity modifications, and reporting workflows. Your expertise will shape how customers adopt Slice and will influence the product direction for equity accounting automation. Key Responsibilities ● Lead onboarding for customers implementing tax- and accounting-focused equity workflows. ● Advise customers on equity-related guidance, valuation models, and stock-based compensation reporting. ● Ensure correct setup and ongoing accounting treatment/compliance for options, RSUs, PIUs, and other equity instruments. ● Interpret modification events, expense impacts, and audit requirements with clarity and precision. ● Collaborate with Product and R&D to improve our accounting modules and accurate accounting & tax reporting across the platform. ● Serve as a trusted advisor to finance leaders navigating both routine and advanced accounting scenarios. ● Build and maintain strong customer relationships to drive long-term success. Required Qualifications ● CPA or equivalent credential. ● Background in tax, accounting, financial reporting, or audit (Big 4 preferred). ● Deep understanding of ASC 718, IFRS 2, and equity compensation accounting. ● Experience supporting audit cycles, close processes, or SBC reporting. ● Ability to communicate complex financial concepts clearly to customers. ● Excellent English and collaboration skills. ● Ability to work autonomously in a fast-paced environment. Nice to Have ● Experience with multi-jurisdiction tax requirements for equity. ● Experience with equity platforms, payroll systems, or global finance environments. Why Join Slice ● Build with purpose: Apply tax expertise to automate global equity compliance. ● High ownership: Influence a product used by finance teams worldwide. ● Technical depth: Engage with complex accounting logic and real customer data flows. ● Collaboration: Work closely with engineering, product, and design to shape automation. ● Team culture: Smart, analytical, and mission-driven colleagues. ● Startup energy: Join a rapidly scaling global platform backed by top investors.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you. We’re looking for an experienced, hands-on Senior AI Researcher to lead research efforts at Slice and help shape the next generation of AI capabilities across our platform. You’ll explore complex, domain-specific challenges, define research directions, and translate promising ideas into practical product capabilities. Your work will span applied research, experimentation, and model development—including building and adapting large and small language models using proprietary data, domain knowledge, and modern training techniques. You’ll work with complex financial documents, structured and unstructured financial data, and legal and compliance data and knowledge, developing approaches that help AI interpret and reason across these sources. Working closely with the CTO, engineering teams, and domain experts, you’ll have significant ownership over both the questions we investigate and the approaches we take. We’re looking for someone who combines strong research fundamentals with the drive to build, test, and bring ideas into production. What You’ll Do • Lead applied AI research efforts. Identify meaningful opportunities, shape the research roadmap, and drive initiatives from initial exploration through validation and implementation. • Build and improve models. Develop, train, and adapt models using approaches such as fine-tuning, post-training, distillation, and other relevant techniques. • Work with complex documents and data. Explore methods for understanding and reasoning over financial documents, structured business data, and legal and compliance information, in collaboration with domain experts. • Drive rigorous experimentation. Formulate hypotheses, build datasets and evaluation frameworks, and systematically measure performance, reliability, and tradeoffs. • Connect research to real-world applications. Collaborate with engineers and domain experts to turn research outcomes into scalable, production-ready capabilities. • Advance our research practices. Evaluate emerging methods, share findings, and help establish strong standards for experimentation, model development, and responsible use of data. Requirements What You’ll Bring • 6+ years of experience in AI/ML research or applied science, with a strong background in deep learning and recent hands-on experience with language models. • Proven experience building, training, or adapting models, including ownership of data preparation, experimentation, and evaluation—not just integrating third-party model APIs. • Strong proficiency in Python and modern deep learning frameworks, such as PyTorch, and familiarity with the language-model training ecosystem. • A solid understanding of model architectures, optimization, training methodologies, and evaluation.. • Strong research judgment: the ability to frame ambiguous problems, design meaningful experiments, analyze results, and make evidence-based decisions. • The ability to work independently, take technical ownership, and collaborate effectively with engineering, product, and domain experts. Nice to Have • An M.Sc. or Ph.D. in Computer Science, Machine Learning, or a related field, or an equivalent research track record. • Experience with advanced post-training methods, reinforcement learning, synthetic data, knowledge distillation, or efficient model training and inference. • Experience in document understanding, information extraction, or reasoning across structured and unstructured data, particularly in financial, legal, or compliance domains. • Research publications, meaningful open-source contributions, or a track record of bringing research into production. Why Join Slice • Build with purpose: Apply AI to solve global compliance at scale. • High ownership: Work directly on product-critical systems with real customer impact. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and alumni of elite technology units. • Team culture: Collaborative, ambitious, and impact-driven. • Startup energy: Join a high-growth company backed by top investors, scaling globally, and redefining fintech infrastructure.

Description About Slice Global Equity Slice Global Equity is redefining how companies manage equity, compliance, and tax across borders. We've raised $32M to date, including a Series A led by Insight Partners, with continued backing from TLV Partners, R-Squared Ventures, and Jibe Ventures. Slice is building an AI-native equity platform that automates global compliance in real time, across 60+ countries. We sit at the intersection of fintech, legaltech, and AI, solving one of the hardest infrastructure problems in global business. We're headquartered in New York City, with an office in Tel Aviv. We move fast, take ownership, and think AI-first. If that sounds like you, we'd love to meet you.  We’re hiring a Senior Full Stack Engineer to join our core product team. This is a hands-on role spanning backend and frontend development - ideal for someone who thrives on ownership, loves solving complex problems, and enjoys shipping products that matter. Key Responsibilities • Design and develop scalable features across the stack (React, NestJS, Prisma). • Own features from design to deployment, ensuring robustness and performance. • Collaborate with product, design, and AI teams on end-to-end product development. • Build testable, maintainable, and well-structured codebases. • Contribute to architectural discussions and long-term product strategy. Requirements Required Qualifications • 6+ years of professional experience in full-stack engineering. • Strong expertise in React.js and Node.js. • Experience with Prisma ORM, PostgreSQL, MongoDB, and Redis. • Skilled with Docker, GCP, and CI/CD pipelines. • Proven ability to own complex systems from development to production. Nice to Have • Experience in microservice architecture and distributed systems. • Familiarity with NestJS, Prisma ORM, or other backend frameworks • Exposure to AI-powered or data-driven product environments. • Interest in equity, fintech, or compliance systems. Why Join Slice • End-to-end ownership: Build features users see and systems that power them. • Technical depth: Work across architecture, UX, and infrastructure. • Collaboration: Partner with top engineers and designers in Tel Aviv. • Team culture: Collaborative, ambitious, and impact-driven. • Build with purpose: Help modern companies stay compliant globally through automation. • Startup energy: Join a high-growth, global company redefining fintech infrastructure.