Senior AI/ML Engineer at Sigma Computing | New York City

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Role Overview Sigma Computing is growing quickly, and the Technical Support Engineering team is scaling to meet the needs of a larger global user base. This team recently earned the 2024 Stevie Gold Award for Customer Service. As a Technical Support Engineer based in New York City, the work centers on helping customers solve technical, business, and data challenges using the Sigma platform. The role involves close collaboration with Product, Engineering, and Go-to-Market teams to troubleshoot complex issues, deliver solutions, and improve both the product and support experience. What You Will Do Work directly with Sigma customers and pre-sales staff to identify and resolve complex technical problems. Partner with the development team to define best practices and build tools for diagnosing issues and improving service performance. Coordinate with teams across backend, frontend, DevOps, design, product management, and marketing to support a strong user experience. Join quarterly projects, provide periodic on-call support, and take on assignments that focus on automation and process improvements.

Role Overview Sigma Computing builds a high-performance platform that integrates with modern data architectures. As the team grows in New York City, the company seeks a Senior Fullstack Software Engineer who enjoys solving complex technical problems and shaping features that make data accessible for a wide range of users. The engineering group values collaboration and a shared mission to improve how organizations use data. What You Will Do Work on challenging problems to deliver an interactive, high-performance analytics experience on top of modern data warehouses. Develop software using tools and languages such as Rust, Go, GraphQL, TypeScript, and Slate. Create new algorithms and techniques to improve performance and interactivity for analytics and workflow solutions, supporting some of the largest enterprises. Diagnose and resolve product or system issues by analyzing, tracking, and debugging problems. Design and implement new features to meet the needs of a growing user base. Collaborate with teams across infrastructure, design, product management, customer support, sales, and marketing to build new product capabilities.

About the Role Sigma Computing builds a high-performance platform designed for modern data architecture. As the team grows in New York City, the company is looking for engineers who enjoy solving complex problems and want to help make data accessible to everyone. The engineering group values collaboration and a focus on delivering solutions that matter across the technology stack. What You Will Do Take on challenging problems to create interactive experiences for data exploration and analysis within data warehouses. Work with technologies including Rust, Go, GraphQL, Node, and Kubernetes. Build backend distributed services, develop algorithms, and design APIs that power Sigma Computing's cloud applications. Investigate and resolve product or system issues by diagnosing root causes and debugging as needed. Design and implement new features to support a rapidly expanding user base. Participate in design and code reviews with peers and stakeholders to maintain high engineering standards and best practices.

About Sigma Computing Sigma Computing builds a cloud-native analytics and business intelligence platform. The product helps business users explore and share insights from cloud data warehouses, all without writing SQL. Sigma serves industry leaders and is backed by prominent investors. Role Overview The Director of Strategic Partnerships will lead and grow Sigma's collaboration with Snowflake, a key partner. This senior role shapes joint go-to-market efforts, drives co-selling, and builds revenue through the partnership. This position is based on-site in New York City and reports to the Senior Director of Partnerships. What You Will Do Set and execute the overall strategy for the Snowflake partnership, including priorities, focus areas, and go-to-market plans. Own business outcomes related to the Snowflake partnership, with responsibility for partner-attributed and partner-influenced pipeline and revenue. Design and scale co-selling programs that grow demand and deliver measurable revenue. Lead joint business planning with Snowflake: run quarterly strategy sessions, build execution plans, and coordinate executive reviews. Align Sigma sales teams with Snowflake account representatives through enablement, playbooks, and active deal support. Act as the main escalation point for Snowflake-related deal strategies, executive connections, and partner conflict resolution. Build and maintain strong relationships with Snowflake’s Partner, Sales, and Field Leadership, influencing sales activity during live deals. Drive collaboration across Sales, Marketing, Enablement, and Operations to put Snowflake partnership initiatives into practice. Work with Marketing to coordinate joint campaigns, events, and programs that support co-selling and pipeline goals. Track and analyze partnership performance metrics to refine strategy and improve results. What Sigma Is Looking For The ideal candidate brings deep credibility within the Snowflake ecosystem, thinks like a general manager, and can turn strategy into practical action. Strong stakeholder management skills are essential, from executive leaders to account teams, as well as the ability to align internal teams across Sales, Marketing, Enablement, and Partnerships.

Role Overview The Strategic Commercial Account Executive at Sigma Computing holds a key position in driving the company’s growth. This role focuses on building relationships with senior stakeholders, navigating complex enterprise organizations, and securing agreements that deliver strong results for both clients and Sigma. Location and Work Environment This position is based in New York City. It is not remote, plan to work in the office four days a week alongside experienced colleagues. Sigma’s office culture values presence, collaboration, and decisive action. The environment is high-energy and rewards strong performance. What You Will Do Engage with high-level decision makers at commercial and enterprise accounts Develop and manage relationships that lead to significant business agreements Work closely with industry leaders to influence decisions and close impactful deals Contribute to Sigma’s rapid annual growth (over 80%) by driving new business Participate in local travel within New York and across the East Coast (about 25% of the time) for in-person meetings with prospects, customers, and partners What Success Looks Like Consistently closing transformative deals Building a strong network within enterprise organizations Gaining hands-on experience in sales strategy, negotiation, and relationship management Contributing to a collaborative and ambitious team culture

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

Why Join Moonshot AI?Imagine a world where websites automatically optimize themselves to enhance sales, improve conversion rates, and accelerate growth. At Moonshot AI, we are transforming this vision into reality by integrating generative AI, extensive data processing pipelines, and systematic experimentation into a self-evolving digital ecosystem.As a well-funded startup in its early stages, we have a bold vision. Joining us means becoming more than just an employee; you will play a crucial role in shaping our technical and cultural foundation. If you desire the freedom of a founder, combined with the support of top-tier investors, this is the opportunity for you.Your ContributionsIn your role as our Senior Fullstack Engineer, you will be actively engaged across the technology stack. You will design, develop, and scale systems that power our AI-driven platform, enjoying significant autonomy, rapid execution, and substantial ownership of your work.Build and architect scalable systems — from backend APIs to frontend dashboards — capable of processing millions of web events daily.Create large-scale data infrastructure that elucidates website construction, performance metrics, and optimization strategies.Train and integrate LLMs into production environments to autonomously hypothesize, generate, and validate website variants.Influence engineering culture and practices — your impact will be evident throughout our tech stack, architecture, and team processes.Engage in experimentation, prototyping, and iteration — combining research, product development, AI, and scalability in a single role.This is not about maintaining another SaaS application; it’s about constructing an AI engine that revolutionizes digital product creation.Candidate ProfileA software artisan — you produce clean, scalable code and are adept at delivering results swiftly.5+ years of full-stack development experience (Python, JavaScript, AWS preferred, but not mandatory).Proven experience in leading teams or managing significant projects.Educational background in Computer Science, Electrical Engineering, Mathematics, or equivalent practical expertise.An AI enthusiast eager to work with LLMs and influence their real-world applications.Bonus Qualifications:Experience in a startup environment (thriving in dynamic, fast-paced settings).

Join a team of former Google engineers who have developed some of the world's most significant defensive platforms, including Safe Browsing and reCAPTCHA. We are embarking on an ambitious journey to combat a new generation of adversarial AI attacks that organizations face today.Currently operating in stealth mode, we are targeting a $5B+ market that is primed for innovation. Conventional detection strategies are lagging behind as adversaries leverage AI to create highly customized attacks that evade traditional systems.Your Mission: Design a comprehensive network of AI agents that are efficient, cost-effective, and precise, working in unison to identify and neutralize emerging threats. You will delve into real-time threat data, iteratively refining your agents in response to the evolving battlefield. These agents will function under a rapid iteration and adaptive learning orchestration layer.Challenges and OpportunitiesRapidly Changing Models: The strategies that were effective yesterday may become obsolete tomorrow.Intelligent Adversaries: We are engaged in a real-time arms race against sophisticated AI-driven attackers.No Established Playbook: We are innovating new detection methodologies as threats develop, making this a high-stakes, impactful role from day one.If you are an engineer who thrives on solving complex problems and values quick feedback, this challenge is for you.Why We Will SucceedVast Market Potential: A rapidly expanding market valued at over $5B, with slow-moving traditional competitors.Proven Track Record: Our team has previously built core technologies behind Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our tenure at Google.Third-Time Charm: This is our third endeavor in creating a category-defining security company, and we know how to scale both technology and business effectively.AI and Security Expertise: Our approach integrates AI and security from the ground up rather than as an afterthought.Elite Team: We only recruit top talent, with many team members being in the top 1% of engineers from Google.Agility: We prioritize speed and efficiency, ensuring a dynamic work environment.

Join Normal Computing for Incredible Opportunities!At Normal Computing, we are passionate about building the software and hardware that drive technological innovation. Our efforts support the semiconductor industry, critical AI infrastructure, and the extensive systems that empower our world. With teams spread across New York, San Francisco, Copenhagen, Seoul, and London, we collaborate as one unified team.Your Role in Our Mission:We are seeking a talented AI Research Engineer to pioneer advancements in agentic LLMs and reinforcement learning for our innovative code generation tool, Nectar. In this role, you will design and conduct experiments, develop agents, curate datasets from intricate technical documents, and establish rigorous evaluation methods. You will write production-level research code and work closely with engineering teams to deliver enhancements to our clients. While leadership experience is not a prerequisite, your research and development impact will be significant.Key Responsibilities:Design and implement multi-agent and reinforcement learning strategies for agentic code generation and tool usage.Develop research prototypes that integrate with Nectar; collaborate to transition successful prototypes into production.Create comprehensive evaluation frameworks, including task specifications, pass/fail criteria, coverage metrics, and dashboards for cost and latency.Gather and curate datasets from a variety of sources, including PDFs, logs, and tables; generate synthetic data where necessary, and maintain data documentation and licensing.Conduct disciplined analyses of experiments through systematic ablations; document findings and decisions.Keep abreast of recent developments in LLM agents, reinforcement learning (both offline and online, including RLHF/RLAIF), constrained decoding, and program synthesis.Qualifications:PhD in Computer Science, Artificial Intelligence, or Machine Learning (or equivalent research experience), with publications preferably in multi-agent reinforcement learning, agentic AI, or reinforcement learning for language and code.Proficient in Python and machine learning frameworks, with a preference for PyTorch; experience with JAX or Hugging Face is a plus.Proven track record of translating research into functional systems; a strong emphasis on reproducibility (tests, seeds, configurations, logging).Experience in designing evaluation harnesses and success metrics for sequential and agentic tasks.Adept at data acquisition and curation from various document types; possess strong instincts regarding data quality and licensing.Bonus Qualifications:Research experience in program synthesis, code generation, constrained decoding, or execution-based rewards.

Join Kepler: AI You Can Trust and Verify.At Kepler, we understand the critical flaws that plague AI tools, where data manipulation leads to unreliable outputs. In a world where million-dollar decisions depend on precise data, we have created a groundbreaking architecture that renders these flaws obsolete. Our system ensures that AI interprets your intent while deterministic code retrieves accurate figures from source documents, guaranteeing that every output is traceable and defensible.With over 950K SEC filings, 14K+ companies, and 40M+ documents across 27 global markets, we are trusted by firms that cannot afford errors.Our architecture is versatile and domain-independent. While we are initially focused on finance, industries such as healthcare, legal, and insurance will soon benefit from our innovative verification layer for the entire AI ecosystem.Founded by industry veterans Vinoo Ganesh and Dr. John McRaven, and supported by pioneers from OpenAI and Facebook AI Research, we are at the forefront of transforming AI reliability.The RoleAs a Senior Software Engineer, you will play a critical role in architecting and building the core systems that drive Kepler's AI research platform. You will take ownership of essential infrastructure, including backend services that orchestrate AI workflows and data pipelines that manage billions of data points, impacting how financial professionals make pivotal decisions.This position is designed for engineers eager to create foundational technology at the intersection of AI and finance, where your technical leadership will have a direct influence on client decision-making.In your first 90 days, you will:Lead and deliver a major production system from conception to deploymentDrive architectural decisions that influence the platform’s future directionWitness your code powering research at leading financial institutionsGuide and mentor engineers while establishing engineering best practices

Senior Full Stack EngineerAbout Fonzi AIFonzi AI is a dynamic startup fueled by substantial funding, dedicated to transforming the hiring landscape through advanced AI technologies. Having recently launched, we have already garnered the attention of thousands of exceptional engineers on our platform. Our mission is to create an AI-powered recruitment marketplace designed to seamlessly connect millions of candidates with companies, where our AI recruiters intuitively comprehend your expertise and interests to match you with ideal opportunities automatically.The RoleWe are on the lookout for a Senior Full Stack Engineer who will take ownership of projects from inception to deployment, delivering results swiftly without compromising on code excellence. This role leans towards backend development but encompasses full-stack responsibilities, as you'll contribute to building the foundational platform that drives our AI-enabled marketplace. Collaborating closely with our technical lead, you'll architect and implement features that have a tangible impact on how candidates and companies interact.This position transcends typical engineering responsibilities; you will act as a product engineer, fully aware that each line of code affects real users. You'll engage with our recruiting and marketing teams, converting business requirements into technical solutions while striking a balance between rapid delivery and scalable architecture, a hallmark of successful startups.What You'll DoLead comprehensive feature development from design through to production deploymentConstruct robust backend systems using TypeScript and Node.js, alongside creating engaging frontend experiences utilizing React and Next.jsIncorporate AI functionalities into applicationsCollaborate with AI models to expedite development while ensuring high code qualityBalance swift delivery with long-term architectural considerationsWork directly with recruiting and marketing teams to identify and address their technical challengesDeliver code rapidly while remaining mindful of long-term architectural ramificationsInfluence product direction during the formative stages of requirements—help define the 'what', not just the 'how'Articulate technical concepts effectively to non-technical stakeholdersRequired ExperienceProficient in TypeScript: This is our primary programming language, and you'll be using it dailyFull-stack development experience: Proven track record in both frontend and backend development

Join Normal Computing - Pioneering the Future of TechnologyAt Normal Computing, we are at the forefront of technological innovation, developing essential software and hardware solutions that propel the semiconductor industry, AI infrastructure, and the systems that sustain our world. Our collaborative team spans across major cities such as New York, San Francisco, Copenhagen, Seoul, and London.Your Impact:As a Hardware Engineer specializing in Design Verification, you will play a crucial role in our Verification AI team. This position blends verification expertise with product shaping, enabling you to validate internal hardware, specifically Physics-inspired ASICs, while optimizing the data generated by our AI. You will be instrumental in connecting raw verification data to our Machine Learning models, ensuring our AI benefits from high-quality, curated data.

Join Normal Computing – Where Innovation Meets OpportunityThe Normal team is at the forefront of building foundational software and hardware solutions that propel technology forward, serving critical sectors such as the semiconductor industry and AI infrastructure. Our collaborative efforts span across major cities including New York, San Francisco, Copenhagen, Seoul, and London.Your Contribution to Our Vision:As a Software Engineer specializing in backend product engineering within Normal EDA, your primary responsibility will be developing systems and workflows that empower hardware engineers in the creation and verification of chips vital to modern AI technologies. Experience in the semiconductor or hardware sectors is advantageous but not mandatory.In this role, you will encounter complex technical challenges at the convergence of AI and product engineering. You will be tasked with designing solutions and implementing incremental improvements to deliver new features effectively. You will take ownership of APIs and schemas that are crucial for core product functionalities, collaborating closely with fellow engineers to enhance these systems.We are seeking engineers who are enthusiastic about tackling real-world challenges in intricate technical domains and creating systems that enable users to maximize their productivity. If you are driven to design reliable, high-performance systems and craft intuitive user experiences for AI-driven workflows, this position offers a unique opportunity to make a significant impact in the industry.

Role Overview Sigma Computing is hiring a Commercial Account Executive in New York City. This role focuses on building strong sales pipelines, bringing in new customers, and directly contributing to company growth. What You Will Do Develop and manage sales opportunities from prospecting through close Secure new business and expand Sigma's customer base Support the company's growth by meeting and exceeding sales goals Work Location This position is based in New York City. Remote work is not available for this role.

Why Join Moonshot AI?Envision a web that autonomously transforms itself to enhance sales, improve conversions, and accelerate growth.At Moonshot AI, we’re pioneering this future by integrating generative AI, extensive data processing, and innovative experimentation into a self-adaptive online ecosystem.As a well-capitalized, early-stage startup with grand ambitions, your role here transcends that of a typical employee — you’ll actively contribute to shaping the company’s technical and cultural foundation. If you've ever aspired to have the freedom of a founder while being supported by elite investors, this opportunity is for you.What You'll Create & LeadIn the position of Staff Software Engineer, you will serve as the technical cornerstone of Moonshot's evolution engine, responsible for designing scalable systems, steering engineering strategy, and mentoring your colleagues.Your work will blend hands-on expertise with high-level architectural insight, transforming visionary ideas into technical realities.You will:Innovate at the forefront of generative AI - develop systems that empower AI to autonomously reason, experiment, and implement tangible changes to the web.Architect the next generation of our experimental engine - ensuring it is scalable, observable, fault-tolerant, and capable of handling millions of daily events.Design and advance our backend infrastructure utilizing Python (Flask-RestX), serverless AWS, and various data pipelines (ClickHouse, Postgres, Kinesis, Firehose, S3).Lead technical strategy - establish our engineering principles and evolve the architecture across microservices, data ingestion, and LLM-driven systems.Mentor and uplift - enhance the skills of senior and mid-level engineers through code reviews, collaborative programming, and detailed design documentation.Collaborate across teams - partner with AI, product management, and data science to translate business objectives into robust systems.Prototype and expand boundaries - rapidly bring concepts to production while balancing experimentation with thoroughness.Enhance performance, security, and reliability as we scale towards SOC 2 certification and enterprise clientele.This role emphasizes technical leadership without the responsibilities of people management: pure design, significant leverage, and complete ownership.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

Senior AI Product EngineerAbout Fonzi AIAt Fonzi AI, we are a pioneering Series A startup, backed by Lightspeed, dedicated to transforming the hiring landscape through the power of AI. Established by seasoned entrepreneurs from Kumospace, we launched our innovative AI-driven recruiting marketplace in June 2025 and have quickly become revenue-positive, partnering with nearly 100 employers—over 75% of whom are AI-native companies. Our platform is home to thousands of engineers, and we proudly host Match Days every two weeks, where pre-screened candidates receive competitive offers from leading employers.Our vision is to create an infrastructure where AI comprehensively understands the roles of engineers, their aspirations, and seamlessly matches them with suitable opportunities. We are committed to moving beyond surface-level AI applications and are building toward a future where intelligent systems manage the entire recruiting workflow. We seek engineers who share our passion for this vision and are eager to help shape the future with us.The RoleAs a Senior AI Product Engineer, you will embrace a multifaceted role in this new era of software development. The distinction between "full-stack engineer" and "AI engineer" is rapidly diminishing, and at Fonzi, we have embraced this convergence.You will take ownership of features from inception to deployment: designing database schemas, developing React components, and creating the AI agents that infuse intelligence into our platform. Some weeks, you’ll focus on building robust backend systems; other weeks, you'll experiment with cutting-edge models to develop features that feel transformative. Most weeks, you’ll engage in both aspects.We are in search of engineers who have experienced the "aha moment"—those who recognize that AI fundamentally alters the software development landscape and wish to work at a company where this principle is embedded in every product decision.What You'll BuildAI Agents that facilitate intelligent conversations with candidates, including voice interfaces for onboarding engineers, coaching systems for interview preparation, and adaptive matching algorithms that evolve with each interaction.The Platform powering a two-sided marketplace, utilizing TypeScript/Node.js for backends, React/Next.js for frontends, and PostgreSQL for the data layer, all designed for speed and rapid iteration.AI-Powered Features from conception to production—rapidly prototype using the latest models, strategically balancing cost, quality, and speed, then scale successful features to thousands of users.The Intelligence Layer that enhances our marketplace with each candidate interaction, creating a data flywheel that will establish our competitive edge.

About the RoleAt Stack AI, we are committed to democratizing access to advanced AI technologies, empowering individuals and organizations to create AI-driven applications that generate substantial real-world impact. As one of our pioneering AI Strategists, you will collaborate directly with clients to conceptualize, implement, and expand AI workflows that revolutionize their business operations.In this multifaceted role, you will take on the responsibilities of a consultant, product strategist, and operations expert. Your work will involve engaging with senior executives to establish AI strategies, partnering with technical teams to deliver effective solutions, and guiding organizations through the processes of adoption and change management. Additionally, you will gather valuable customer insights to influence Stack AI’s product development, contributing to a platform utilized by hundreds of large enterprises worldwide.This position is perfect for someone who excels in navigating uncertainty, enjoys the fusion of strategic thinking and execution, and is enthusiastic about shaping the AI transformation journey for both our clients and Stack AI.Key ResponsibilitiesExecutive Engagement: Collaborate with business leaders and tech teams to identify high-impact AI opportunities and establish success metrics.End-to-End Ownership: Oversee client engagements from initial concept to final delivery, ensuring sustainable adoption and quantifiable business results.AI Strategy & Value Discovery: Uncover potential AI applications that can yield ROI, enhance efficiency, and provide a competitive edge.Customer Enablement: Equip and empower client teams to develop and refine AI workflows using Stack AI’s no-code platform.Change Management: Facilitate onboarding and adoption, ensuring that solutions are integrated into customers’ daily operations.Product Feedback Loop: Serve as the customer advocate, providing insights and patterns that shape our product roadmap.Thought Leadership: Contribute to best practices, case studies, and playbooks that enhance Stack AI’s influence across various sectors.QualificationsCustomer-Centric Mindset: Strong empathy for users, capable of bridging the gap between technical solutions and business value.Strategic Communication: Proficient in engaging both technical stakeholders and senior executives, effectively translating complex concepts.Enterprise & Startup Experience: Experience working in both large corporate environments and dynamic startup settings, adaptable to diverse organizational cultures.

Tabs is at the forefront of revolutionizing finance and accounting through our innovative AI-native revenue platform. Our solution automates the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, enabling finance teams to minimize manual processes and accelerate cash flow.High-growth companies like Cursor and Statsig utilize Tabs to effortlessly generate invoices directly from contracts, reconcile payments in real time, and ensure compliance with ASC 606.Founded in 2023, Tabs has successfully raised over $91 million from prominent investors such as Lightspeed Venture Partners, General Catalyst, and Primary. Our team, based in New York, consists of experts in finance and artificial intelligence.Our MissionWe empower the one-person finance team with artificial intelligence products that automate accounting operations, communication, and reporting. Our advanced systems relieve finance leaders from the stress of updating contact details for invoices, allowing them to focus on strategic initiatives and business vision.The RoleWe are assembling a dynamic team of innovative product engineers to join our AI division as full-stack developers. This is an in-person role located in New York City.You will take ownership of designing and implementing automation, AI, and ML features from initial concept to release and integration.This role requires forward-thinking engineers who can push beyond pattern matching to uncover new insights and solutions.You will collaborate closely with company leadership and the founding team to deliver high-impact projects that significantly influence our market positioning.Ideal CandidateDemonstrated experience in building greenfield products, achieving 80% accuracy, and learning from the remaining 20%.Proven track record of taking ownership and driving projects to successful completion.A minimum of 3-5 years of full-stack engineering experience directly contributing to product and feature delivery.At least 1 year of experience working with AI and ML technologies.