LOCATIONNew York, NY, USA(Hybrid work - required to be in office 2-3 days/week)JOB DESCRIPTIONJoin our dynamic team at Interplay as an AI Deployment Engineering Intern for the Spring/Summer term! We seek an enthusiastic individual with a robust engineering background and full-stack AI development experience. In this role, you will stay ahead of the curve in cutting-edge technologies and market trends, build and deploy AI systems, analyze emerging trends, and support our investment strategies in the AI sector. Our ideal candidate is passionate about artificial intelligence, possesses a strong grasp of machine learning and related technologies, and is eager to apply their skills in a fast-paced venture capital environment. A portfolio showcasing your experience with multi-agent systems will be a significant advantage.WHAT YOU’LL DOConduct comprehensive research on emerging AI technologies, trends, and market dynamics.Analyze the technical viability and innovative potential of AI-driven startups.Develop and implement AI models/tools to enhance organizational efficiency.Engage with AI communities, startups, and industry experts to remain at the forefront of the latest advancements.WHO YOU ARESelf-motivated and eager to learn.A problem solver who enjoys tackling challenges hands-on.A versatile individual capable of managing diverse responsibilities.Highly organized with strong time management skills.Creative thinker who generates innovative ideas for events and marketing initiatives, always staying ahead of industry trends.Proactive in identifying potential issues and delivering timely solutions.Team-oriented with excellent interpersonal skills, enabling effective collaboration across cross-functional teams.Technologically adept and comfortable working with various tools and platforms.

Join Scale AI's rapidly expanding Enterprise Applications team, dedicated to creating trustworthy AI systems that empower significant global decisions. In the role of AI Deployment Strategist Intern, you will collaborate with our Data Science and Growth (DSG) team to assist major clients in designing, implementing, and scaling innovative Generative AI solutions that transform their sectors. Your contribution will be crucial in ensuring deployment success and enhancing our team's industry expertise, allowing ambitious concepts to make a real-world impact while ensuring seamless project execution. In this dynamic internship, you will engage directly with data, engineering, business, and AI leaders from some of the world's foremost enterprises. You will participate in projects from initial planning through to delivery and growth, driving measurable business results. Within Scale, you will work closely with Machine Learning, Engineering, and Finance teams to optimize execution, refine processes, and shape our enterprise delivery strategies. Your tenure as a DSG Intern will lead to tangible contributions to live enterprise accounts and the development of structured intelligence artifacts beneficial to our Enterprise Business Unit. Interns will engage in weekly sessions with DSG leaders, gaining insights from cross-functional teams across Engineering, Product, and Go-To-Market (GTM) while receiving structured feedback throughout the program. This fast-paced, high-impact internship offers exposure to customer strategy, operational execution, and product development. You will work closely with DSGs who advocate for the customer and facilitate the delivery of customer projects. During your internship, you will contribute to: Client Leadership & Growth: Assist DSGs in managing relationships with enterprise clients, ensuring projects deliver value and run smoothly. Flawless Delivery & Execution: Aid in managing timelines, deployment milestones, and operational processes across workstreams. Strategic Account Expansion: Conduct research and analysis to uncover new opportunities within verticals and existing accounts to drive business impact. Cross-Functional Problem Solving: Collaborate with Engineering, Product Development, Finance, and Operations teams to support operational enhancements and delivery processes. Strategic Feedback Loop: Generate structured insights and executive-ready materials that inform product strategy and enterprise delivery approaches. Mastering Complexity & Ambiguity: Help organize and clarify complex projects through comprehensive research and documentation.

The Role:As an AI Deployment Strategist, you will collaborate across customer success, sales, and engineering teams to ensure technical clarity and seamless execution throughout the lifecycle of our innovative F2 product. You will establish yourself as the go-to authority on AI prompting within the organization, forming the essential technical foundation of our go-to-market strategy.Your Responsibilities:Facilitate the F2 sales process by participating in prospect and client discussions to address technical product inquiries.Lead customer due diligence efforts: complete InfoSec questionnaires and enhance our due diligence knowledge repository.Review reports generated by users, identify issues for engineering, and assist customers in deriving maximum value from our AI solutions.Create prompt engineering: design natural language prompts tailored to client needs to guarantee precise and relevant report generation.Implement basic technical solutions, such as configuring Single Sign-On (SSO) or establishing custom data retention policies.Maintain CRM integrity: ensure clean and structured data to enable the customer success and sales teams to scale efficiently.Act as the customer advocate to the engineering team, providing valuable feedback to enhance the product offerings.

About Our TeamJoin the innovative AI Deployment Engineering team at OpenAI, where we ensure the secure and efficient deployment of cutting-edge Generative AI applications for developers and enterprises alike. As trusted advisors, we collaborate with customers across various sectors, from burgeoning startups to established global enterprises, helping them realize the potential of GenAI in their industries.About the RoleWe are looking for a skilled and business-savvy AI Deployment Engineer to partner with our strategic startup customers and lead the evolution of advanced AI technologies. You'll engage with some of the most dynamic startups globally, guiding them from ideation through to delivery and scaling, ensuring they maximize the value derived from our platform. This role allows you to work on groundbreaking use cases, while also serving as a vital link in providing high-quality product and model feedback. You will collaborate with diverse teams including Sales, Solutions Engineering, Applied Research, and Product, reporting directly to the Startups Solutions Architecture Lead.This position is based in our New York City headquarters, utilizing a hybrid work model of three days in the office each week, with relocation assistance available for new hires.Key Responsibilities:Act as a technical thought partner for strategic startup customers, helping them create innovative applications on our API and facilitating their journey from concept to scale.Offer proactive insights to enhance business outcomes and expedite application development.Collaborate with customers on experiments and prototypes, showcasing practical use cases.Contribute to community-driven resources, sharing insights, best practices, and useful materials to elevate the function.Provide valuable feedback to Product and Research teams to inform future developments.Foster relationships within the startup ecosystem, acting as a technical partner to individual customers and the broader community.Ideal Candidate Profile:A minimum of 5 years of experience as a software engineer, ML engineer, or in a related field, preferably within a startup environment; experience as a founder or founding engineer is highly desirable.Demonstrable expertise in AI technologies and deployment strategies.Strong communication and interpersonal skills, with the ability to engage and influence stakeholders effectively.Proven problem-solving skills and a proactive approach to technical challenges.A passion for innovation and a desire to push the boundaries of AI application.

The Codex Deployment Engineering team at OpenAI partners with clients to help them integrate AI coding tools into their development workflows. This group works closely with engineering teams at a wide range of organizations, from digital-native startups to global enterprises, to streamline how software is planned, built, and delivered. Role overview The AI Deployment Engineer - Codex role focuses on enabling clients to get the most out of OpenAI's coding tools. This position involves collaborating with engineering leaders and developers to design, validate, and scale advanced AI workflows. Much of the work centers around using Codex to prototype, build demos, and develop integrations or automations that clients can put into practice. This is a cross-functional role. The AI Deployment Engineer works with Sales, Solutions Engineering, Product Development, Applied Engineering, and the broader Codex organization. The goal is to advocate for client needs, shape product direction, and support the deployment of intelligent coding systems at leading companies. What you will do Serve as the main technical expert on OpenAI Codex for a varied client base, working closely with their engineering teams to develop coding workflows. Work directly with clients to design and implement AI-powered development workflows, from early prototypes through to scalable production systems. Build demos, reference projects, and workflow automations, using Codex as a core part of the process. Lead workshops, technical deep dives, and hands-on training to help engineering organizations adopt AI coding tools safely and effectively. Create technical content, such as examples, guides, and best practices, for the OpenAI Cookbook, supporting the wider developer community. Gather insights from real-world client deployments and turn them into actionable product feedback for internal teams. Guide clients in understanding how AI coding tools can fit into their software development lifecycle, technical plans, and broader organizational strategies. Location This position is based in New York City.

About the TeamThe AI Deployment Engineering (ADE) team plays a pivotal role in the secure and efficient deployment of Generative AI applications for both developers and enterprises. We serve as trusted advisors and strategic partners to our clients, helping to build a robust pipeline of GenAI use cases tailored to their industry. Our mission is to propel these use cases into production through expert technical guidance. As an AI Deployment Engineer, you will collaborate with some of the world's most recognized and reputable news organizations, aiding them in revolutionizing their operations through innovative solutions such as enhanced customer service, contextual search capabilities, personalized experiences, and cutting-edge applications leveraging our latest models.About the RoleWe are seeking a proactive solutions leader with a product-oriented mindset to partner with our clients, ensuring they derive substantial business value from Generative AI. You will work alongside senior leaders in media to formulate a GenAI strategy and pinpoint high-impact applications. Your role will involve close collaboration with engineering and product teams to transition solutions from prototype to full-scale production. By taking a comprehensive approach to their needs, you will design an enterprise architecture utilizing OpenAI API and other services to maximize client benefits. Your work will involve tight collaboration with Media Partnerships, Sales, Solutions Engineering, Applied Research, and Product teams, reporting directly to the Head of Solutions Architecture, Digital Native.This position is located in our New York office. We provide relocation assistance to new hires.Key Responsibilities:Engage with news organizations globally—from leading national and international publishers to local and independent newsrooms—to implement our technology in ways that drive business success. This includes newsroom implementations and applications that enhance customer service, internal operations, marketing, audience engagement, and sales.Embed deeply with our most advanced platform clients, acting as their technical advisor in conceptualizing and developing innovative applications on our API.Proactively guide clients on maximizing the impact of their applications, expediting their time to value.Experiment and prototype solutions both with and for your clients.Cultivate and maintain relationships with client leadership and stakeholders, ensuring the successful deployment of their applications.

ServiceNow seeks a Staff AI Agent Engineer to join the Moveworks team in Albany. This position centers on deploying AI-driven applications for customers, aiming to enhance both client experiences and operational efficiency. Key Responsibilities Design and build AI-powered solutions that address specific customer requirements Implement and refine applications to ensure they meet deployment needs Optimize performance and integration during customer rollouts Collaboration This role works closely with colleagues in engineering, product, and customer-facing teams. Joint efforts focus on delivering solutions that bring measurable improvements to clients.

YOUR MISSION: As the Director of Forward Deployed Engineering, AMER (FDE) at Parloa, you will be at the forefront of our enterprise AI initiatives. Your primary objective is to establish and lead a top-tier FDE organization that guarantees consistent, high-quality, and scalable implementations of our enterprise solutions. Additionally, you will play a crucial role in integrating field insights to drive product and platform evolution. Your responsibilities extend beyond project delivery excellence; you will help define the operational framework that drives enterprise AI adoption at Parloa. This includes setting operating models, enhancing technical standards, fostering leadership within the FDE team, and ensuring that our deployments evolve into productized solutions. In this pivotal position, you will bridge the gap between product development and the realities of enterprise deployment, ensuring that the actual experiences of our clients enrich our product offerings rather than dilute them. IN THIS ROLE YOU WILL: Regional FDE Strategy & Operating Model: Create scalable delivery frameworks (including pods, vertical focuses, and specialization layers) that balance customization with productization to optimize impact and profitability. Build and Develop a High-Performance Organization: Recruit, mentor, and develop Team Leads and senior FDE professionals while enhancing leadership potential within the organization through succession planning, career pathways, and growth opportunities. Establish robust performance metrics and accountability systems while cultivating a culture of ownership. Ensure Predictable, High-Quality Enterprise Delivery: Take ownership of delivery health for all strategic projects by implementing scalable capacity planning, forecasting, and utilization management processes. Standardize project governance: Implement risk management practices, create escalation protocols, track dependencies, and define quality benchmarks for architecture, security, reliability, and maintainability. Ensure consistent production stability in enterprise environments. Drive Technical Excellence & Architectural Standards: Establish architectural guidelines and reference patterns for enterprise deployments. Implement review protocols for high-stakes technical decisions and ensure repeatable integration practices across enterprise systems (APIs, identity management, data pipelines). Maintain strong technical credibility in cloud infrastructure, backend systems, and AI design. Leverage Field Learnings into Product Enhancements: Identify common implementation trends and advocate for productization. Collaborate closely with Product and Core Engineering teams to minimize custom implementations and provide strategic input on roadmap prioritization using structured field data.

Join Fluidstack as a Network EngineerAt Fluidstack, we are pioneering the infrastructure for the next era of intelligence. By collaborating with prominent AI laboratories, governmental bodies, and leading enterprises like Mistral, Poolside, Black Forest Labs, and Meta, we strive to deliver computing capabilities at unprecedented speeds.Our mission to realize Artificial General Intelligence (AGI) drives our team to work with passion and dedication. We prioritize our clients' success as our own and take immense pride in the infrastructure we build and the trust we cultivate. If you are purpose-driven, committed to excellence, and excited to contribute to the future of intelligence, we invite you to join us on this innovative journey.Role OverviewWe are seeking a skilled Network Engineer to become an integral part of our Deployment & Integration team. In this hands-on role, you will be responsible for constructing and validating large-scale AI data center network infrastructures. Your responsibilities will include deploying modern data center fabrics, configuring switches, validating physical layer connections, collaborating with cross-functional teams to address challenges, and ensuring a seamless transition to operations.This position is perfect for engineers who thrive in dynamic environments and wish to gain extensive experience in large-scale data center deployments. You will collaborate closely with senior engineers who will provide you with technical mentorship and structured onboarding as you hone your skills in AI fabric deployment. Achieving success in this role means independently managing pod deployments, becoming the go-to expert for field execution, and progressing into leadership roles as our organization expands.Key ResponsibilitiesDeployment Execution: Oversee the deployment and validation of data center network infrastructure, including front-end and back-end fabrics, Building Management Systems (BMS), and management networks. You will configure switches, install and validate optics, coordinate fiber and cabling work, and guide deployments to completion, taking ownership of transforming designs into operational networks.Physical Layer Validation: Ensure physical connectivity adheres to production standards. Coordinate with structured cabling teams for fiber remediation, validate insertion loss and Optical Time-Domain Reflectometer (OTDR) traces, troubleshoot optical layer issues, and document physical infrastructure as-built. You will develop expertise in diagnosing and resolving physical layer challenges that impede deployments.Hardware Lifecycle Management: Manage hardware logistics such as device staging, rack and stack coordination, Return Merchandise Authorization (RMA) processes, and Data Center Infrastructure Management (DCIM) updates. Monitor hardware inventory, coordinate vendor shipments, and ensure device readiness.

ServiceNow seeks a Staff AI Agent Engineer in New York to drive customer deployment projects. This position centers on implementing advanced AI agents that enhance customer experience and simplify operations. Key responsibilities Partner with engineering, product, and customer success teams to deliver AI-driven solutions tailored for clients. Integrate AI agents into customer systems, focusing on consistent performance and smooth rollout. Address and resolve technical issues related to AI agent functionality during deployment and post-launch. Collaboration Regular collaboration with colleagues from various disciplines is essential to create AI solutions that align with customer requirements and business objectives.

Join amperos as an AI Deployment Strategist, where you will play a pivotal role in implementing cutting-edge AI solutions that drive efficiency and innovation. You will collaborate with cross-functional teams to tailor AI systems to meet our clients' specific needs, ensuring seamless integration into their operations.

Role Overview Silna Health is hiring an AI Deployment Analyst in NYC. This role focuses on bringing AI solutions into clinical settings to support better healthcare services. The analyst works closely with teams across the company to understand needs, introduce AI tools, and help staff use them effectively. Main Responsibilities Work with different departments to identify where AI can improve processes Support the rollout and integration of AI tools in clinical environments Monitor system performance and analyze results Recommend enhancements based on data and feedback Impact This position helps drive improvements in patient care by ensuring AI solutions are used to their full potential.

About GovWellAt GovWell, we believe that citizens and taxpayers deserve access to efficient government services. Our mission is to revolutionize how local agencies engage with communities through our innovative AI-driven operating system.We are dedicated to replacing outdated software used by municipalities and counties, enabling public servants to drastically improve public service delivery and reduce permit and license processing times by up to 90%.Founded in 2023, GovWell currently supports over 5,000 essential processes across 30+ states, impacting millions of residents. Having secured $10 million in seed funding from prestigious investors such as Work-Bench and Bienville Capital, our team operates from our headquarters in New York City. To learn more about our journey, check out our feature in TechCrunch. Why Join GovWell?Meaningful Mission: We are on a journey to create AI-powered solutions that modernize outdated government systems, providing a historic opportunity to enhance the relationship between citizens and their government, ensuring taxpayer dollars deliver high-quality services. WATCH: Mission & Vision with CEO & Co-Founder Troy LeCaireImpactful Work: Be part of a system that serves millions of Americans, affecting areas such as small business permitting and the acceleration of affordable housing initiatives. Your contributions will yield immediate results.Startup Growth Experience: As a rapidly growing startup with a 4X annual recurring revenue growth in the past year, you will gain valuable insights into building a successful business while enjoying autonomy and ownership in your role. Role OverviewGovWell is seeking a Software Engineer, Deployment to accelerate our growth in an industry often plagued by slow and cumbersome implementations.Unlike our competitors, who can take over 18 months to onboard clients, GovWell achieves customer launches within 3 months or less. As we venture into larger, more intricate enterprise settings, our objective is to ensure that deployments are not only speedy but also systematic and replicable.

Join Thread AI as a Federal Deployment LeadThread AI is at the forefront of developing an innovative AI orchestration engine, and we are eager to welcome passionate individuals to our expanding team. Our mission is to simplify infrastructure for enterprises and public sector agencies striving to fully leverage AI and AI Agents.Based in New York, our team consists of seasoned professionals with a proven history of designing and implementing intricate workflows and infrastructure solutions. We operate as a nimble group of engineers, strategists, and product innovators, with our co-founding members having spent years developing AI/ML products at Palantir for both the private and public sectors.We believe that a small, committed team with a flat organizational structure fosters a collaborative culture, enabling us to innovate and deliver superior products more efficiently than larger, hierarchical organizations. As AI transforms the way we work, we are dedicated to ensuring it is trustworthy, verifiable, and centered around human needs. This guiding principle informs all our developments and operations.Role OverviewThis position transcends traditional project management; it is a blend of strategic insight, technical expertise, client engagement, and unwavering ownership.Full Lifecycle Ownership: Engage with federal agencies to dissect their most complex challenges, devise a production roadmap using Lemma, and drive initiatives through compliance, political landscapes, and technical ambiguities.Navigating the Federal Landscape: Collaborate with federal CTOs to define requirements, map data flows across agency systems, prepare ATO documentation, and proactively identify potential compliance bottlenecks.Technical Decision-Making: Design multi-tenant deployment architectures, rigorously evaluate assumptions with engineering teams, and engage in substantial discussions regarding trade-offs between various methodologies.Shaping the Practice: Contribute to defining Thread AI's strategy in the federal market, including partnerships, delivery models, and recruitment. This is a foundational role.Candidate ProfileFirst-Principles Thinker: Possess the ability to instinctively analyze complex, ambiguous challenges into their fundamental components, synthesizing technical constraints, political factors, compliance needs, and user behaviors into a coherent strategy.Federal Fluency: Familiarity with key federal frameworks such as FedRAMP, ATO packages, FISMA, NIST 800-53, and IL4/IL5, without necessarily being a compliance engineer.

Join ConcourseAt Concourse, we are revolutionizing corporate finance by building advanced AI agents designed for finance teams. Our innovative solutions connect critical enterprise data sources, empowering teams to analyze data through natural language, gain insights in seconds, and make informed decisions. Since our inception less than a year ago, we have experienced rapid growth, with our AI agents already in use by hundreds of high-growth companies, including unicorn startups like Persona, Front, Lightmatter, and major public companies, including two Fortune 500 clients. Supported by prominent investors such as Andreessen Horowitz, CRV, YC, and BoxGroup, along with over 50 angel investors from notable firms including Brex, Rippling, Flywire, Deel, Jeeves, and DoorDash, we are poised for continued success.About the PositionWe are seeking an AI Deployment Specialist who possesses a strong combination of finance knowledge, product insight, and technical proficiency. Your mission will be to amplify the impact of our AI agents across all finance teams we support. You will engage directly with clients to understand their workflows, design compelling product experiences to drive adoption, and create systems that integrate Concourse into their financial operations seamlessly. In this role, you will collaborate closely with our founders and engineering teams, remaining hands-on with SQL, integrations, and debugging, while strategically identifying avenues to deliver customer value at scale. Your contributions will be pivotal in expanding our client base and shaping the future interaction between finance teams and AI agents.This high-impact position is ideal for someone with deep financial expertise, a passion for solving technical challenges, and a drive to enhance product, data, and customer outcomes.Key ResponsibilitiesEnhance AI & Prompt Performance: Maintain prompt libraries, fine-tune model configurations, and ensure optimal outputs for financial applications.Address Technical & Data Challenges: Troubleshoot AI outputs, integration challenges, and data discrepancies through direct engagement with SQL, API exploration, and team collaboration.Develop Analytics & Insights: Generate dashboards and analytics to uncover customer behavior, product usage patterns, and potential revenue growth opportunities.Shape GTM Strategy: Analyze customer data to refine positioning, messaging, onboarding strategies, and growth initiatives.Create High-Impact Customer Experiences: Enhance onboarding, training, and lifecycle journeys to help finance teams realize value quickly and evolve into long-term advocates.

Role overview Rowspace is hiring an AI Deployment Manager to guide post-sale relationships with clients in the finance sector. This New York City-based role focuses on helping customers succeed with Rowspace’s solutions, driving adoption across their organizations, and sharing client feedback with internal teams. The position goes beyond traditional account management by requiring a deep understanding of investor workflows, including research, decision-making, and data environments. Experience in finance or consulting, especially with complex client relationships, is valuable here. What you will do Manage customer relationships after the sale, handling onboarding, adoption, expansion, and retention. Learn each client’s workflow and show how Rowspace integrates into their daily activities. Advocate for customers by gathering and sharing feedback with product and engineering teams. Identify growth opportunities and collaborate with Account Executives to pursue them. Participate in late-stage deal discussions to ensure a smooth transition and understand client needs before contracts are signed. Bring in Account Executives when expansion is possible. Create and refine playbooks that define Rowspace’s approach to customer engagement. Requirements 3–7 years of experience, ideally in finance (buy-side, sell-side, or fintech) or management consulting, with a focus on client engagement. Understanding of finance workflows or the ability to quickly learn how investors perform due diligence, build models, and make decisions. Proactive, results-oriented mindset with the ability to move projects forward independently. Strong attention to detail and curiosity, willing to explore a private equity firm’s deal pipeline in depth. Ability to identify trends across clients and share insights that influence product direction. Excellent communication skills, able to explain complex topics clearly and succinctly.

About Our TeamAt OpenAI, the Forward Deployed Engineering (FDE) team is at the forefront of transforming groundbreaking research into robust production systems. We collaborate closely with our clients to tackle high-impact challenges, functioning as the driving force behind our most intricate large-scale projects. Our agility allows us to swiftly transition from prototype stages to production, establishing reusable patterns that enhance our platform. Our work bridges the gap between deployment and development, enabling us to partner effectively with OpenAI Research, Product, and Partnerships.About the RoleAs a Technical Deployment Lead (TDL), you will be instrumental in shaping how OpenAI delivers sophisticated systems to our customers. You will take full ownership of their construction, delivery, and adoption processes. Your role will involve translating business objectives into comprehensive technical plans, overseeing daily operations across FDEs, Researchers, and Customer Engineers, and collaborating with customer teams to ensure our deliverables meet their objectives.You will manage the complete delivery process: working alongside customers to outline workflows and success metrics, ensuring timely shipment of components, and leading readiness and change management initiatives for effective adoption. Your responsibilities will include monitoring progress, managing dependencies, making sequencing decisions, and driving the development of prototypes from inception to minimum viable product (MVP) and full-scale implementation. Additionally, you will share valuable field insights with Product and Research teams to inform roadmap decisions and priorities.Your success will be evaluated primarily by the impact of deployments that yield tangible value against customer objectives, encourage adoption, and become integral to their operational workflows. Additional success metrics will include reliability of delivery (meeting milestones, minimal reopen/churn), operational efficiency (reusable patterns across deployments), decision-making under pressure, and product impact (field insights that influence roadmaps and architectures).This role demands a high level of trust and autonomy. To thrive, you will need extensive technical project management expertise, a profound sense of ownership over outcomes, and the ability to immerse yourself in customer workflows while collaborating with teams to address complex engineering challenges promptly.This position is based in New York City, utilizing a hybrid work model that requires three days in the office per week. Relocation assistance is offered, and travel is expected to range between 25% to 50%.

Software Engineer - Customer DeploymentsJoin Grotto AI in New York City (In-Person, with occasional travel to customer sites)About Grotto AIAt Grotto, we revolutionize the multifamily housing market by providing an AI platform that empowers apartment teams during key leasing conversations. Our insights from numerous interactions reveal that the strongest predictor of lease signings isn't just knowledge or flawless scripts—it's the genuine curiosity and humor of our agents. That's why we've developed an innovative platform that supports leasing agents in real-time, enhancing their ability to connect with prospects, overcome objections, and secure more leases.Our success is evident, with significant increases in conversion rates for some of the largest property owners nationwide. Our clients describe us as 'the best vendor they've ever worked with.' This is merely the beginning; we envision a future where meaningful conversations foster deeper connections.The RoleThis role diverges from traditional product engineering. As a deployment engineer, you'll engage directly with our customers, tailoring Grotto's offerings to their specific needs. Your responsibilities will include crafting customized features, integrations, and workflows that address the real challenges faced by property managers. Collaborating with Deployment Leads, you'll translate customer requirements into functional software, taking full ownership of the technical success across multiple customer projects.If you thrive on customizing solutions and take pride in witnessing your creations at work in client environments, this position is for you.Your ResponsibilitiesDevelop customer-specific features, integrations, and customizations using our Python and VueJS/TypeScript technology stack.Collaborate closely with Deployment Leads to accurately interpret customer needs and deliver effective software solutions.Deliver quickly—we operate in agile, short development cycles.Occasionally travel to customer sites to gain firsthand insight into their operations, enhancing your ability to tailor our solutions.

basis-ai develops intelligent agents that support complex operations for major accounting firms. With a recent $100 million funding round and a valuation above $1 billion, the company is backed by investors such as Khosla Ventures, Accel, Google Ventures, and leaders in technology. The team’s mission centers on bringing reliable, production-ready AI to industries where accuracy and dependability are essential. As a Solutions Engineer on the Deployed Intelligence team, the work centers on helping customers integrate basis-ai’s products into their daily operations. This includes handling technical integrations, overseeing key system connections, and translating customer requirements for the engineering team. Daily collaboration with DI Strategists is a core part of the role. Location This position is based in person at the Flatiron office in New York City. Preferred Qualifications Minimum 4 years of experience in solutions engineering, technical implementation, or a similar customer-facing technical field Strong skills in SQL for data analysis and troubleshooting Practical experience with API integrations, ideally within financial services or enterprise SaaS Proven problem-solving skills and a customer-focused approach