Solutions Architect at Roadrunner | San Francisco

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

About Liquid AIBorn from the innovative environment of MIT CSAIL, Liquid AI develops cutting-edge general-purpose AI systems that operate seamlessly across various deployment environments—from data center accelerators to on-device hardware. Our solutions prioritize low latency, minimal memory consumption, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome exceptional talent to our dynamic team.The OpportunityJoin us in establishing the product function that will transform Liquid AI's technological advancements into scalable, repeatable solutions for enterprise clients. As a key member of our Product team, you will work closely with technical leaders to define, package, and launch AI solutions that meet market needs. This role requires daily collaboration with ML engineers, GTM leaders, and enterprise customers to understand the value of our technology and effectively deliver it. This position offers significant ownership, allowing you to treat your solution area like your own startup within our organization.What We're Looking ForWe are seeking an individual who embodies the following qualities:Customer Obsession: Prioritizes understanding customer needs through direct feedback rather than assumptions.Self-Direction: Takes initiative to dive deep into problems without prompting, and is comfortable navigating uncertainty to propose effective solutions.Technical Fluency: Engages confidently with ML engineers and researchers, understanding the complexities of deploying AI systems in real-world applications.Founder Mentality: Treats their solution area as a startup, owning outcomes across various functions, from technical architecture to go-to-market strategies.The WorkOversee one or more go-to-market ready solutions from inception to scalable customer deployment.Analyze customer interactions to extract insights and identify productization opportunities.Collaborate with ML and inference teams to develop tools that streamline implementation.Define Ideal Customer Profiles (ICPs), pricing strategies, and packaging for scalable solutions.Partner with GTM teams to enhance outbound sales efforts around productized offerings.

Liquid AI, a spin-off from MIT's CSAIL, develops AI systems designed to run efficiently on standard CPUs. The team emphasizes low latency, minimal memory consumption, and strong reliability. Liquid AI works with major players in consumer electronics, automotive, life sciences, and financial services, and is expanding its team as the company grows. Role overview The Executive Assistant supports the C-suite and executive leadership at Liquid AI's San Francisco office. This position serves as a central point for keeping leaders aligned and informed across Go-To-Market, Product, and Engineering. The Executive Assistant ensures smooth information flow between meetings, decisions, and teams, and also coordinates events and partner visits at the office. What makes a strong candidate Information hub: Tracks project status, decisions, and commitments across different functions. Responds to inquiries directly or knows how to find accurate answers. Proactive planning: Reviews upcoming meetings, identifies preparation gaps, flags conflicts, and ensures materials are ready ahead of time. Clear communication: Liaises with external partners, delivers concise updates to technical leaders, and manages follow-ups across teams. Adaptability: Navigates shifting priorities, changing schedules, and new workstreams with resilience and flexibility. Key responsibilities Serves as the operational backbone for senior leaders by tracking action items, maintaining continuity between meetings, and keeping details organized. Manages complex and dynamic calendars, evaluates meeting requests, aligns schedules with strategic priorities, and protects time for high-impact work. Maintains visibility into cross-functional workstreams, providing leadership with relevant context without requiring them to seek updates. Oversees logistics and preparation for partner and customer visits, ensuring a welcoming and effective experience at the San Francisco office.

Liquid AI, a company spun out of MIT CSAIL, develops general-purpose AI systems designed for efficiency, privacy, and reliability across a wide range of platforms. The team partners with enterprises in fields such as consumer electronics, automotive, life sciences, and financial services. As Liquid AI expands, the company is seeking new team members to help shape the direction of AI technology. Role overview This Product Marketing Manager position is the first of its kind at Liquid AI and reports directly to the VP of Marketing in San Francisco. The role bridges product development, communications, and go-to-market planning. The Product Marketing Manager will play a key part in ensuring Liquid AI’s innovations reach the right audiences and will help establish the foundation for future marketing initiatives. Success in this position requires a strategic mindset, the ability to understand complex technical products, and an understanding of both enterprise clients and technical users. Adaptability and a willingness to build new processes from the ground up are important for this role. What matters at Liquid AI Builder: Uses modern AI tools (including Claude Code) for content creation, campaign management, and prototyping. Able to create demos or proofs-of-concept for launches and sales, and guide others in these areas. Translator: Communicates complex technical details in clear, credible ways for the market. Knows when to consult engineering for more information before a launch and balances immediate needs with long-term planning. Operator: Establishes repeatable systems such as kickoffs, briefs, and retrospectives, rather than focusing only on one-off projects. Cross-functional collaborator: Works effectively with product, go-to-market, communications, and sales teams to drive campaigns across multiple channels. Networker: Brings recommendations for tools, contractors, and agencies to help scale marketing and communications. Comfortable working with AI tools and freelancers. Main responsibilities Lead competitive analysis and market research to refine Liquid AI’s positioning and identify new growth opportunities. Collaborate with cross-functional teams to develop and execute product marketing strategies.

About Liquid LabsAt Liquid AI, research has always been at the forefront of our mission. Liquid Labs serves as a dedicated internal research accelerator, facilitating groundbreaking advancements in the development of intelligent, personalized, and adaptive machines.Our roots extend back to MIT CSAIL, where pioneering work on Liquid Neural Networks established a new category of efficient sequence-processing architectures. This research laid the groundwork for our Liquid Foundation Models (LFMs), which are scalable, multimodal models designed for real-world applications in resource-constrained settings.In Liquid Labs, we continue this legacy by advancing the realm of efficient, adaptive intelligence through both fundamental research and practical engineering efforts.We collaborate closely with Liquid’s core foundation model and systems teams to turn theoretical concepts into deployable capabilities, setting the stage for a new era of powerful and efficient intelligent systems.About The Role:As a Research Engineer at Liquid Labs, you will be part of a dynamic, high-impact team pushing the boundaries of adaptive intelligence. You will be responsible for designing and implementing innovative architectures, training methodologies, and inference strategies to expand the potential of efficient AI.Your work will blend research and engineering, as you translate scientific concepts into functional systems, publish findings that advance the field, and deploy solutions that redefine what is achievable.While we prefer candidates from San Francisco and Boston, we welcome applications from other locations within the United States.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in the development of versatile artificial intelligence systems optimized for performance across various deployment environments, ranging from data center accelerators to on-device hardware. Our focus on low latency, minimal memory consumption, privacy, and reliability allows us to partner effectively with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are eager to welcome talented individuals who can contribute to our mission.The OpportunityThis unique position places you at the forefront of advanced foundation models and their practical applications. You will oversee post-training projects from start to finish for some of the world’s leading enterprises, while also playing a vital role in the ongoing development of Liquid’s core models.In this role, you will not have to choose between impactful customer work and foundational development; instead, you will enjoy deep involvement in both. You will have significant influence over how models are adapted, assessed, and deployed, directly contributing to the enhancement of Liquid’s post-training capabilities.If you are passionate about data integrity, evaluation processes, and ensuring that models perform effectively in real-world scenarios, this is your chance to redefine the standards of applied AI at a foundation-model company.What We're Looking ForWe seek an individual who:Takes ownership: You will lead post-training initiatives from customer requirements to delivery and evaluation.Thinks end-to-end: You will connect the dots across data generation, training, alignment, and evaluation as a cohesive system.Is pragmatic: You prioritize model quality and customer satisfaction over theoretical publications.Communicates clearly: You can interpret customer needs and effectively communicate with internal technical teams, providing constructive feedback when necessary.The WorkServe as the technical lead for post-training engagements with enterprise clients.Translate client requirements into actionable post-training specifications and workflows.Design and implement data generation, filtering, and quality assessment methodologies.Conduct supervised fine-tuning, preference alignment, and reinforcement learning processes.Create task-specific evaluations, analyze outcomes, and integrate insights back into core post-training workflows.

Join the Innovative Team at Liquid AIFounded as a spin-off from MIT’s CSAIL, Liquid AI is at the forefront of developing cutting-edge AI systems that operate seamlessly across various platforms, including data center accelerators and on-device hardware. Our technology is designed to ensure low latency, efficient memory usage, privacy, and reliability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services as we rapidly scale our operations. We are seeking talented individuals who are passionate about technology and innovation.Your Role in Our TeamAs a GPU Performance Engineer, your expertise will be critical in enhancing our models and workflows beyond the capabilities of standard frameworks. You will be responsible for designing and deploying custom CUDA kernels, conducting hardware-level profiling, and transforming research concepts into production code that yields tangible improvements in our pipelines (training, post-training, and inference). Our dynamic team values initiative and ownership, and we are looking for a candidate who thrives on tackling complex challenges related to memory hierarchies, tensor cores, and profiling outputs.While San Francisco and Boston are preferred, we welcome applications from other locations.

About Liquid AIOriginating from MIT CSAIL, Liquid AI specializes in creating versatile AI systems that operate efficiently across various platforms, from data center accelerators to on-device hardware, focusing on low latency, minimal memory consumption, privacy, and dependability. Our collaborations extend across industries including consumer electronics, automotive, life sciences, and financial services. As we undergo rapid expansion, we are on the lookout for outstanding individuals to join our journey.The OpportunityThe Vision-Language Models (VLM) team is dedicated to developing cutting-edge vision-language models that function seamlessly on devices, adhering to stringent latency and memory requirements without compromising quality. Having already launched four premier models, we are excited about what lies ahead.This team is responsible for the complete VLM pipeline, encompassing research on novel architectures, training algorithms, data curation, evaluation, and deployment. You will be part of a dedicated, hands-on team that directly engages with models and works closely with our pretraining, post-training, and infrastructure teams. Your success will be gauged by the performance of the models we deliver.

Be a part of our mission to redefine AI by leading innovations in document comprehension.About the PositionLlamaIndex is seeking an Applied AI Solutions Architect who thrives at the nexus of enterprise sales and technical implementation. This pivotal role is integrated into our revenue efforts—transforming skeptical engineering teams into advocates and guiding promising evaluations to successful contracts.You will manage the technical relationship from initial discovery through proof of concept, collaborating closely with Account Executives on real-time opportunities with leading AI innovators. Your role extends beyond simple product demonstrations; you will diagnose critical infrastructure issues, design tailored solutions, and cultivate trust with stakeholders who will depend on the architecture long after the agreement is finalized.Key ResponsibilitiesConduct in-depth technical evaluations, proofs of concept, and solution design sessions for enterprise clients across various industries and use cases.Collaborate closely with Account Executives to mitigate deal risks, identify technical challenges early, and establish credible pathways to success.Articulate complex AI and data infrastructure concepts effectively to both engineering teams and C-level executives in the same dialogue.Design and prototype solutions utilizing LlamaIndex's platform to meet customer demands concerning accuracy, latency, cost, and scalability.Act as the voice of the customer internally, providing insights to Product and Engineering that enhance our roadmap.Desired QualificationsSolid engineering background with hands-on experience in AI/ML systems, data pipelines, or enterprise software architecture.Proven track record in customer-facing technical roles, including pre-sales, solutions engineering, or technical consulting.Ability to operate in uncertain environments: you can define a problem, make informed assumptions, and progress without waiting for complete information.Strong go-to-market instincts—understanding what it takes to build technical consensus within a buying committee.Effective and confident communicator capable of translating system design trade-offs into business risks for executives.Prior experience with LlamaIndex or LlamaCloud is not mandatory; we value your thought process and problem-solving approach.

About Us:Modal is at the forefront of AI infrastructure. We provide seamless access to GPUs, quick container startups, and integrated storage solutions, simplifying the process of model training, batch job execution, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototypes to full-scale production without the complexities of infrastructure management.Our rapidly expanding team operates out of NYC, San Francisco, and Stockholm. With a remarkable 9-figure annual recurring revenue (ARR), we recently achieved a valuation of $1.1 billion after our successful Series B funding round. Thousands of customers, including Lovable, Scale AI, Substack, and Suno, depend on us for their AI workload needs.Joining Modal means becoming part of a dynamic, rapidly growing AI infrastructure company with substantial opportunities for personal and professional advancement. Our team comprises creators of well-known open-source projects (e.g., Seaborn, Luigi), academic researchers, international competition medalists, and seasoned engineering and product leaders with extensive experience.The Role:We are seeking a strategic Solutions Architect to influence technical strategies across our key enterprise accounts.In this position, you will serve as the technical partner to Enterprise Account Executives, managing intricate evaluations, developing infrastructure modernization strategies, and promoting multi-product adoption across AI and ML applications.This is a strategic, consultative role that demands a robust architectural background, a strong executive presence, and the ability to impact major infrastructure decisions worth millions. You will collaborate directly with CTOs, VPs of Engineering, and leaders of ML platforms to redefine the construction and operation of AI infrastructure.If you excel in fast-paced technical sales contexts and are eager to shape the infrastructure that drives modern AI innovations, we would love to hear from you.

About Deepgram Deepgram builds real-time APIs for speech-to-text (STT) and text-to-speech (TTS), serving over 200,000 developers and 1,300 organizations. Companies like Twilio and Cloudflare use Deepgram’s scalable, precise voice AI technology to power their products. Role Overview: Solutions Architect The Solutions Architect joins Deepgram’s Applied Engineering team in San Francisco. This role focuses on working closely with clients, solving technical challenges, and developing scalable solutions to strengthen Deepgram’s support infrastructure. What You Will Do Lead customer engagements after the sale, ensuring smooth technical integration and support. Assist with pre-sales and implementation projects as needed. Resolve complex technical issues for clients, drawing on engineering expertise. Develop repeatable solutions and contribute to automation that frees the team to focus on high-impact pre-sales work. How Deepgram Works The team values an AI-first approach, encouraging experimentation with advanced AI tools in daily work. Deepgram supports a culture of innovation and adaptability. Location This position is based in San Francisco, CA.

Embark on a transformative career journey with DigitalOcean, where you will collaborate with a vibrant community of exceptional talent dedicated to crafting the most user-friendly and scalable cloud solutions. If you possess a growth mindset, a penchant for thinking big and bold, and thrive in a high-energy environment that challenges the status quo, you will find your ideal fit with us. We believe in winning together while learning, enjoying the journey, and making a significant impact for the dreamers and builders around the globe.We are seeking a Senior Solutions Architect (AI/ML) who is enthusiastic about addressing intricate cloud infrastructure challenges, particularly within the burgeoning AI/ML domain.In your role as a Senior Solutions Architect at DigitalOcean, you will be an integral part of a dynamic team committed to revolutionizing cloud computing and AI. Reporting to the Senior Manager of Solutions Architecture, you will collaborate with our most strategic accounts and partners to design and implement scalable, reliable, and innovative cloud solutions. You will play a crucial role in influencing both technical and business decisions, assisting customers in modernizing their workloads, and establishing DigitalOcean as the top choice for their AI/ML and GPU requirements.In this capacity, you will work closely with Sales, Technical Account Management, and Partner teams to deliver technical excellence that fuels new customer acquisition and strengthens existing relationships. As the technical subject matter expert, your responsibilities will include designing, implementing, and optimizing high-performing, resilient cloud solutions tailored to customer needs.Furthermore, you will engage cross-functionally with Product, Engineering, and Operations to ensure that customer feedback informs the continuous enhancement of DigitalOcean’s offerings. Your technical leadership and consultative approach will be pivotal in fostering trusted relationships, shaping strategic decisions, and positioning DigitalOcean as the preferred cloud partner for expanding businesses and key partners.This is a remarkable opportunity to merge your technical expertise, business insight, and communication skills to drive substantial impact on DigitalOcean’s growth and success.

Zyphra is a cutting-edge artificial intelligence company located in the vibrant city of San Francisco, California, dedicated to pushing the boundaries of AI technology.The Role:As our Principal Solutions Architect, you will establish yourself as the foremost technical authority during all partner and customer interactions involving Zyphra’s extensive AI model portfolio and innovative AI agents. Your role will involve articulating the technical advantages and unique features of Zyphra’s offerings, guiding partners and customers from the initial assessment phase through a seamless integration process, and representing our research initiatives. This is not a mere support role; you will drive the entire technical go-to-market (GTM) strategy, crafting compelling narratives, nurturing strategic partnerships, and facilitating successful commercial outcomes.Moreover, you will play a pivotal role in providing valuable insights from partners and customers that will inform Zyphra’s research and product development roadmap. Ideal candidates will possess a research mindset, communicate with the clarity of an industry expert, and have the credibility to engage effectively with both technical and executive-level discussions.Your Responsibilities Include:Acting as the primary technical advisor to strategic partners and customers across Zyphra’s full AI model portfolio, which includes language, vision, audio, brain-computer interfaces, and agentic systems from the initial discovery phase through deployment and expansion.Crafting and delivering engaging technical narratives, demonstrations, and evaluation frameworks that highlight the distinctions of each Zyphra model to diverse audiences, including research teams, engineers, executives, and business decision-makers.Leading technical discovery discussions with partners and customers to thoroughly understand their needs, use cases, and integration prerequisites, and converting those insights into actionable plans.Spearheading the development of strategic partnerships and customer conversion, managing the technical relationship throughout the entire commercial lifecycle.Aggregating partner and customer insights into emerging use cases, identifying unmet needs, deployment trends, and competitive signals, and delivering constructive feedback that directly impacts Zyphra’s research and product focus.Creating and maintaining a repository of reusable technical resources, including model evaluation frameworks, fine-tuning guides, deployment architectures, API integration playbooks, and use-case demonstrations to expedite the adoption of Zyphra’s models by partners and customers.Representing Zyphra at industry conferences, technical workshops, academic forums, and partner events to enhance our credibility and thought leadership in the AI sector.

Join orb as a Solutions Architect, where you will play a pivotal role in designing innovative solutions that drive our technology strategy forward. Collaborate with cross-functional teams to create cutting-edge applications that enhance user experiences and streamline operations.

About UsBraintrust is revolutionizing AI observability. By merging evaluation and observability into a single workflow, we empower developers with the insights necessary to understand AI performance in real-world applications, enabling ongoing enhancements.Our platform is trusted by leading companies like Notion, Stripe, Zapier, Vercel, and Ramp to streamline model comparisons, prompt testing, and regression detection — transforming production data into refined AI with each iteration.Role OverviewWe are seeking a skilled Customer Solutions Architect to join our dynamic Field Engineering team. This pivotal position is highly technical and client-focused, aimed at assisting teams in deploying and managing Braintrust in their production environments.You will collaborate with platform, DevOps, and machine learning infrastructure teams within pioneering AI-centric organizations to ensure Braintrust operates seamlessly—whether in our managed cloud or within their private infrastructures. Your expertise will be essential in evaluating and monitoring LLM-driven applications, enabling effective evaluation workflows through robust infrastructure support. You will assist with deployments, troubleshoot multi-layer issues, and advocate best practices for scalability, security, and maintainability.This role combines solution design, proactive support, and infrastructure advisory, making it perfect for someone passionate about resolving real-world challenges through coding, systems knowledge, and a strong customer-centric approach.Your ResponsibilitiesCustomer Enablement & SupportServe as a trusted advisor for customers deploying and scaling Braintrust in production settings.Lead onboarding and implementation efforts, assisting in the setup of customer-hosted infrastructures, configuration of observability pipelines, evaluation workflows, and integration with third-party applications.Troubleshoot customer issues across various layers (e.g., SDKs, cloud infrastructure, model outputs), coordinating with product and engineering teams as necessary.Manage proactive health checks, upgrade support, and reliability best practices for clients running self-hosted deployments.Solution Design & ImplementationDesign and document comprehensive customer evaluation pipelines utilizing Braintrust SDKs and APIs.Create technical artifacts (scripts, templates, notebooks) that facilitate onboarding and enhance our customer support capabilities, or showcase platform functionalities.Advise on architectural decisions regarding LLM evaluation, prompt versioning, and structural best practices.

At Hover, we empower individuals to create, enhance, and safeguard the spaces they cherish. Utilizing cutting-edge AI technology built on over a decade of comprehensive real estate data, Hover addresses essential inquiries such as “What will it look like?” and “What will it cost?” Homeowners, contractors, and insurance professionals depend on Hover for precise, fully-measured, and interactive 3D models of any property, all achievable through a quick smartphone scan.Our mission at Hover is fueled by curiosity, purpose, and a collective dedication to our customers, communities, and one another. We believe that innovation thrives through diverse perspectives and are proud to foster an inclusive, high-performance culture that encourages growth, accountability, and excellence. Supported by reputable investors like Google Ventures and Menlo Ventures, and trusted by industry frontrunners such as Travelers, State Farm, and Nationwide, we are transforming the way people perceive and engage with their environments.Why Hover Wants YouWe are establishing a new Solutions Architect role to support large enterprise clients in effectively adopting and scaling our platform. This pivotal, technical, customer-facing leadership position will oversee intricate onboarding and integration processes, translating client workflows into actionable platform configurations and technical specifications, while closely collaborating with Product and Engineering teams to bridge any gaps.As the inaugural hire and player-coach team lead, you will set the framework for Solutions Architecture within our organization and will recruit and nurture a team that will expand alongside growing demand.Your ContributionsEnterprise Onboarding & Solution DesignGuide comprehensive technical onboarding for major enterprise clients: discovery, solution design, and readiness for launch.Align client workflows and operational models with our products, pinpointing necessary configurations, best practices, and change management requirements.Create scalable solutions that balance client needs, product capabilities, security/compliance mandates, and long-term sustainability.Integrations & Technical DeliveryLead integration strategy and execution across client systems and downstream partners (e.g., APIs, SSO, data transfer, third-party tools).Convert requirements into clear technical specifications: data mappings, integration contracts, event flows, error-handling approaches, and monitoring strategies.Develop repeatable integration patterns and documentation that minimize implementation time and enhance reliability.

Join leverdemo-8 as a Solutions Architect and be part of a dynamic team dedicated to transforming how organizations recruit and hire top talent!Lever, founded a decade ago, provides innovative hiring software used by industry leaders such as Netflix, Yelp, and Shopify to build exceptional teams. Recognized as the #1 workplace in San Francisco and a top employer nationwide, we pride ourselves on our people-first culture and are committed to investing in our talented team members, known as “Leveroos.”THE OPPORTUNITYAs a Solutions Architect, you will play a pivotal role in addressing customer needs through innovative technical solutions. You will engage with prospects to assess their requirements, design initial technical frameworks, and create Statements of Work (SOWs). After the sales process, you will collaborate with customers to refine their requirements and translate them into actionable technical solutions, working closely with our development team for successful implementation and testing. This cross-functional position involves collaboration with Sales, Support, R&D, and the Professional Services team, ensuring our solutions meet and exceed customer expectations while fostering the evolution of our APIs.THE TEAMYou will be part of the Customer Experience Solutions (CXS) department, which includes Customer Success, Service & Support, Implementation, and Professional Services. Our mission is to advocate for our customers by understanding their business challenges and delivering exceptional value through our products. The Professional Services team is crucial in ensuring customer success through custom solutions, technical guidance, and analytics consulting.In CXS, we are committed to fostering a cooperative environment to guarantee our customers receive outstanding service and results using Lever. Your contributions will be essential in building trust and confidence with our clients while enabling our cross-functional teams to achieve their goals.

Position OverviewAs a Senior Solutions Architect, you will play a pivotal role as the primary technical lead and sales engineer for ePlus's innovative product and service solutions. Your expertise will be crucial in supporting the regional sales team to enhance revenue generation and optimize engagement within our customer account portfolio. Collaborating with our team of master architects, engineers, and consultants, you will have the chance to deeply understand our clients’ requirements and devise actionable, sustainable IT roadmaps to achieve their goals.Your Impact Key responsibilities include:Delivering technical expertise to sales teams and clients in your designated solution focus area.Building trust and establishing credibility as a key advisor to ePlus’s sales team and clientele.Conducting engaging customer presentations showcasing ePlus’s core competencies and technical offerings for your assigned accounts.Supporting the sales team with comprehensive account planning related to technical aspects of hardware, software, and services opportunity qualification and development.Drafting and authoring technical sections for RFP/RFI/RFQ responses.