About OmniOmni is an innovative business intelligence and embedded analytics platform dedicated to helping our customers effectively explore, understand, and leverage their data.Based in San Francisco with additional hubs in EMEA and APAC, we are supported by prominent investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAs a Pre-Sales Solutions Engineer, you will gain in-depth knowledge of the Omni platform, equipping our clients to maximize their data usage throughout their data lifecycle. You will engage with businesses across diverse industries, regions, and sizes. Our high-touch, forward-deployed model ensures that you will continuously learn and discover new use cases and requirements. You will advocate for our users and contribute to shaping the product's future by relaying field insights and feedback.You will:Collaborate with the sales team to deliver technical expertise throughout the sales process, identifying and validating use cases that demonstrate the value of the Omni platform.Develop and present Proofs of Concept using the Omni Platform during evaluation phases, guiding potential customers on how to effectively utilize Omni with their data.Facilitate seamless transitions from trials to successful customer status by partnering with post-sales teams and coordinating with our partners to ensure ongoing support where necessary.Work closely with Product, Design, and Engineering teams to provide user feedback and influence product direction.About You3+ years of experience in data analytics or business intelligence.Proven experience in a client-facing role with a strong desire to work closely with customers.Robust SQL skills, utilizing SQL for analytical purposes.A genuine passion for working with data.A love for learning and an enthusiasm for helping and educating others.Previous experience with business intelligence and/or enterprise data analytics tools such as Looker, Tableau, PowerBI, Mode, Sisense, etc., is preferred.This position offers a hybrid work schedule, with three days per week in the office at our SF headquarters.

Anrok builds an AI-powered tax automation platform designed to help businesses manage compliance as they scale globally. The platform integrates with billing and payment systems to automate tax monitoring, calculations, and filing, covering complex regulations across municipal, state, and federal levels. Anrok serves a wide range of clients, including 40% of the top 50 AI companies and 20% of the top 100 Cloud companies recognized by Forbes, as well as organizations like Notion, Anthropic, and Cursor. The company is backed by over $50 million from investors such as Sequoia, Index, and Khosla Ventures. Role overview The Solutions Engineer - Pre Sales role in San Francisco focuses on supporting revenue growth by guiding strategic customers through technical integrations. This position works closely with sales, product, and engineering teams to help close deals and ensure smooth implementations. The role requires deep understanding of Anrok’s API, quote-to-cash workflows, and expertise in sales tax compliance and third-party billing integrations such as Stripe and NetSuite. What you will do Assist customers with complex technical integrations during the pre-sales process Collaborate with Sales, Activation, and Product/Engineering teams to connect technical solutions with business goals Develop expertise in Anrok’s API and the sales tax compliance landscape Support the adoption of third-party billing integrations Requirements Ability to work cross-functionally with sales, product, and engineering Technical proficiency with APIs and billing integrations (such as Stripe, NetSuite, and similar platforms) Strong communication skills to translate technical details into business value

About Neo4j:Neo4j is the leading graph intelligence platform designed to turn vast amounts of data into actionable insights, fueling the development of next-generation intelligent applications and AI systems. By offering enterprise-ready knowledge graphs that ensure accuracy, explainability, and governance, we provide unrivaled graph capabilities that can be deployed seamlessly across diverse environments and data sources. Trusted by 84 of the Fortune 100 and backed by the largest graph community globally, we deliver intelligence that drives meaningful results.Our platform is built for versatility, enabling integration across all cloud environments to create dynamic, personalized, and autonomous AI systems. We are committed to delivering faster results and contextual knowledge that positively impacts customers and employees across various sectors.Our Vision:At Neo4j, we have consistently dedicated ourselves to helping the world derive value from data. In an era where business, society, and knowledge are increasingly interconnected, our technology fosters innovation by enabling organizations to discover and understand complex data relationships. As pioneers in the graph database space, we are redefining how businesses leverage their data to remain competitive and drive innovation.As a Senior Solution Engineer at Neo4j, you will be a vital contributor to our success. Working within our regional go-to-market team, you will collaborate closely with our sales executives and engage with clients to demonstrate how the Neo4j Graph Intelligence Platform can effectively address their critical business challenges. You will play a hands-on role during the client evaluation process, providing advisory support throughout their journey to realizing value. Our Solution Engineers engage with organizations across various industries, including Financial Services, Telecommunications, Technology, and Life Sciences, helping them to understand the business and technical advantages of utilizing Neo4j's graph database and analytics technology. You will have the opportunity to evolve into a thought leader in graph technology and tackle high-value challenges that extend beyond traditional data solutions.Required Locations:Bay Area/Southern CaliforniaWe will also consider: Seattle, Denver & Phoenix

Role Overview Deepgram is hiring a Pre-Sales Solutions Engineer to support clients and showcase voice recognition technology. This remote position is open to candidates based in the USA, including San Francisco, CA. What You Will Do Engage with prospective clients to understand their technical and business needs Demonstrate Deepgram’s voice recognition solutions and explain their value Work closely with sales and engineering teams to tailor solutions for each client Help guide clients through the pre-sales process by answering questions and addressing concerns Who We’re Looking For Technical expertise in relevant fields Strong communication and problem-solving skills Interest in voice recognition technology Comfort working with both clients and internal teams Location This is a remote role within the USA. Candidates in San Francisco, CA are welcome.

About Our TeamJoin our Technical Success team at OpenAI, where we are dedicated to the secure and effective implementation of ChatGPT and OpenAI API applications for developers and enterprises. As trusted advisors and thought leaders, we empower our customers to unlock the full potential of our innovative models and products. In your role as a Solutions Engineer, you will drive transformative business solutions encompassing customer service enhancements, automated content generation, and pioneering applications utilizing our cutting-edge models.Role OverviewWe are looking for a dynamic Solutions Engineer to collaborate with our clients, ensuring they derive significant business value from our offerings, including ChatGPT and the OpenAI API. Your role will involve partnering with senior business stakeholders to comprehend their pre-sales requirements, guide their AI initiatives, and pinpoint the most impactful use cases and applications. You will liaise with both business and technical teams to showcase the benefits of our solutions, recommending architectural frameworks to facilitate implementation and development.This position is based in San Francisco, CA, with a hybrid work model requiring three days of in-office work per week. We also provide relocation assistance for new hires.Key ResponsibilitiesDeliver exceptional pre-sales support by offering technical expertise, articulating our value proposition, and addressing product, API, and LLM-related inquiries.Illustrate how the OpenAI APIs and ChatGPT can fulfill our customers’ business objectives and generate substantial value, including building and presenting demos, scoping use cases, recommending architectural strategies, and providing comprehensive technical guidance.Create and maintain documentation, guides, and FAQs to address common inquiries and requirements identified during the pre-sales process.Cultivate and maintain strong relationships with customers throughout the evaluation, validation, and purchasing phases.Champion customer advocacy by representing their voice internally, gathering feedback, identifying trends, and integrating insights into product development.Act as the primary resource for security and compliance inquiries, providing standard collateral, directing customers to relevant resources (e.g., trust portal), and escalating complex issues to the appropriate teams.

About WRITERWRITER empowers leading enterprises to harness AI-driven productivity. Our mission is to enhance human capabilities through advanced superintelligence. We are demonstrating this potential with reliable AI solutions that integrate IT and business teams, fostering transformation across organizations. With our comprehensive platform, numerous companies, including Mars, Marriott, Uber, and Vanguard, are developing and implementing AI agents rooted in their proprietary data and powered by WRITER's enterprise-grade LLMs. With a valuation of $1.9B and support from top-tier investors such as Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is firmly establishing itself as a frontrunner in the realm of enterprise generative AI.Since our inception in 2020, with offices in San Francisco, New York City, Austin, Chicago, and London, we are driven by a vision to innovate and accelerate. We are inviting talented, dedicated builders and innovators to join us in revolutionizing the future of work through AI. About the RoleAt WRITER, our growth is intrinsically linked to empowering our users to produce superior content rapidly and at an unparalleled scale. As a Strategic Solutions Architect, you will play a crucial role in this initiative, collaborating with our most significant and strategic prospects to identify, validate, and create innovative generative AI solutions that deliver substantial business value. Your role transcends mere product sales; it involves a deep comprehension of intricate enterprise requirements and constructing a future where AI reshapes our customers' operations. You will be pivotal in determining how leading global companies adopt and scale AI, having a tangible impact on their success and WRITER’s ongoing leadership in the enterprise generative AI domain.This is a full-time, hybrid position based in our San Francisco office. You will report directly to the VP of Solutions Architecture.‍ What You'll DoLead strategic technical discovery sessions with Fortune 500 prospects and clients, translating complex business challenges into actionable, impactful technical solutions for AI-powered initiatives.Design and architect scalable, robust, and secure generative AI solutions tailored for enterprise clients, leveraging WRITER's platform, APIs, and customized applications to address critical business needs.Oversee the creation and implementation of persuasive proofs of concept (PoCs) and demonstrations, developing custom templates and integrating WRITER's capabilities to highlight transformative value.

Join tvScientific as a Sales Engineer where you will play a critical role in bridging the gap between our innovative technology and our sales strategy. You will work closely with our sales team to create tailored solutions that meet our clients' needs, leveraging your technical expertise to ensure successful implementation and customer satisfaction.

Join the Method TeamAt Method, we have revolutionized the way individuals connect with their financial accounts. By integrating real-time liability connectivity and instant payment execution, our API simplifies the connection between financial accounts and the applications people rely on. With over 45 million users and more than 350 million liability accounts connected without the need for credentials, we have processed over $2.5 billion in payments, saving our users millions in interest. Currently, one in every three credit cards in the United States operates within the Method ecosystem, with leading financial institutions such as SoFi, Bilt, Cleo, Sezzle, Figure, and Aven leveraging our APIs to create exceptional user experiences.Our dedicated team of over 50 professionals is spread across offices in Austin, San Francisco, New York City, and Washington D.C. We are eager to maintain our growth trajectory while collaborating with our esteemed investors and advisors from Andreessen Horowitz, Emergence Capital, Y Combinator, Avra, and Ardent. For more insights about our journey, visit our blog!Your Role and ImpactWe are seeking a Solutions Consultant who will enhance Method's technical sales and expansion initiatives. In this role, you will engage in pre-sales activities, collaborating with customers from the outset to facilitate technical discovery, solution development, and integration planning, thereby accelerating the path to a "technical yes" for prospects and existing clients.As an expert in this field, you will possess a robust technical foundation, particularly in APIs, complemented by strong analytical skills and a consultative approach to aligning customer challenges with Method's innovative product offerings and future roadmap. Your mission is to streamline the purchasing and expansion processes with Method, making them more efficient and repeatable.Your ResponsibilitiesEngage early in key deals (typically during the first one to two calls) as the technical liaison to the Account Executive; lead technical discovery and solution development.Convert customer architecture, limitations, and objectives into a clear proposed approach, detailing integration plans, sequencing, risks, and trade-offs.Enhance technical sales momentum by streamlining the cycle from discovery through solution development and terms negotiation, ensuring clear technical alignment and actionable next steps.Occasionally assist in post-sale solution development and expansion: engage in customer roadmap discussions, propose new use cases, and promote adoption.Develop solutions playbooks for discovery and reference architecture to embed a consistent solutions approach throughout pre and post-sales processes.

About CartesiaAt Cartesia, we are on a mission to revolutionize artificial intelligence by creating interactive, ubiquitous intelligence that operates seamlessly in any environment. Our vision includes pushing the boundaries of current AI capabilities, enabling models to continuously process and reason over vast streams of audio, video, and text data—1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—on-device.Our pioneering work in model architectures originates from our founding team’s experience at the Stanford AI Lab, where we developed State Space Models (SSMs), a breakthrough approach for training large-scale, efficient foundation models. Our team is a blend of deep expertise in model innovation and systems engineering, combined with a design-focused product engineering team dedicated to launching cutting-edge models and user experiences.Backed by top-tier investors including Index Ventures and Lightspeed Venture Partners, alongside a robust network of advisors and over 90 angel investors from various sectors, we are fortunate to collaborate with some of the leading minds in AI.About the RoleWe are excited to welcome our first Solutions Engineer, who will play a vital role in facilitating the enterprise adoption of Cartesia’s voice AI infrastructure. Our clients are developing real-time voice agents, call automation systems, and AI workflows that rely on low latency, reliability, and seamless production-grade integration.As a Solutions Engineer, you will collaborate closely with Account Executives throughout the technical aspects of key deals—from initial discovery to proof-of-concept and technical validation. You will bridge the gap between engineering and market entry, translating customer workflows and infrastructure challenges into actionable architectural solutions.This role demands a proactive, hands-on approach. You will write code, create demos, prototype integrations, and engage in technical discussions with engineering leaders. Rather than following an existing playbook, you'll contribute to developing one by establishing demo environments, documentation, and scalable processes as we expand.Your contributions as a Solutions Engineer will be crucial for our growth; deals will be secured because of sound architecture, functional integration, and the trust we build with customers to power their real-time production systems.

At nextdata, we are pioneering the future of data with our innovative platform, Nextdata OS, designed to create and share autonomous data products at scale. This empowers developers to deliver data that is portable, secure, and accessible anywhere.We envision a landscape where AI, machine learning, and analytics operate on trustworthy, self-protecting data across various organizations and technologies, breaking down barriers of trust.Our mission is to revolutionize how data is created, shared, discovered, and utilized, ensuring it is interconnected, rapid, and equitable.Nextdata OS is tailored for data developers, users, and owners, allowing them to treat data products as essential assets, with inherent trust from the outset. We recognize the complexities of data—models can become outdated quickly, ownership can cross trust boundaries, and storage can exist across numerous platforms. Most critically, data requires protection.Previous solutions have often resulted in fragile systems that are challenging to scale and impossible to trust. We are here to redefine the data landscape alongside you.About the RoleWe are seeking a Senior Sales Engineer to spearhead the technical aspect of our sales initiatives—from initial discovery through to demos and proof-of-concept engagements. This role is ideal for an individual who flourishes in dynamic environments, possesses robust technical expertise paired with consultative sales skills, and can customize complex data solutions to meet distinct customer requirements.As our inaugural Sales Engineer, you will collaborate closely with the Head of Revenue and the CEO to enhance our engagement strategies with prospects. Your responsibilities will include leading technical discussions, constructing demo environments, and formulating solution architectures that showcase the transformative capabilities of Nextdata OS.Please note: This position is remote, but candidates must reside within the San Francisco Bay Area.

Join our dynamic team at gumloop as a Solutions Engineer, where you will be at the forefront of driving innovative solutions for our clients. In this role, you will collaborate closely with cross-functional teams to design, implement, and support cutting-edge technology solutions that enhance customer experiences.You will leverage your technical expertise to understand client requirements and deliver tailored solutions. Your contributions will be pivotal in ensuring successful project outcomes and fostering long-term client relationships.

About Resolve AIAt Resolve AI, we are revolutionizing the engineering landscape by developing an autonomous AI Production Engineer designed to diagnose and resolve intricate system challenges comprehensively.Founded by industry pioneers Spiros Xanthos and Mayank Agarwal, who were instrumental in the creation of OpenTelemetry and led Splunk Observability, our team has successfully exited to Splunk and VMware.We have secured over $150M in funding from leading investors such as Lightspeed, Greylock, Unusual Ventures, and individual backers including Jeff Dean (Chief Scientist, Google DeepMind), Thomas Dohmke (CEO, GitHub), and Reid Hoffman (Founder, LinkedIn).This is a unique chance to join Resolve AI at a pivotal moment in our growth. If you are eager to contribute to an AI-driven company committed to enhancing engineering efficiency, we would love to hear from you.

About WorkOS At WorkOS, we specialize in creating cutting-edge developer tools and APIs that empower businesses to achieve Enterprise Readiness with ease. Our platform facilitates essential functions like authentication, identity management, and authorization—key infrastructure that enables developers to securely scale their products for large organizations.Recently, we secured $100 million in Series C funding, elevating our company valuation to $2 billion, with investments from Meritech, Sapphire, Greenoaks, Craft, Abstract, and Audacious. Our solutions are trusted by some of the fastest-growing AI firms, including OpenAI, Cursor, Perplexity, Vercel, and Plaid.As AI transforms the software landscape, WorkOS is at the forefront of Human and Agent Authentication, Identity, and Access Control, helping companies navigate critical questions about their operations: who are your agents, and what are their permissions? Our rapidly expanding customer base includes hundreds of innovative software companies developing the next generation of enterprise-ready products.Role OverviewIn the position of Forward Deployed Engineer at WorkOS, you will operate at the dynamic intersection of engineering, product development, and sales, collaborating directly with clients to address genuine challenges and enhance their journey towards value realization.This role is ideal for engineers or solutions engineers who possess robust technical skills, exceptional communication abilities, and a strong sense of initiative. While engaging with customers, you will also be responsible for developing prototypes, integrations, demonstrations, and practical solutions that facilitate adoption and growth.Key Responsibilities Engage directly with customers to architect and implement tailored solutions utilizing WorkOS products.Take ownership of technical outcomes throughout the entire process: from discovery and architecture to implementation, iteration, and handoff.Lead product demonstrations and proof-of-concept initiatives.Proactively identify obstacles, propose actionable solutions, and maintain momentum autonomously.Collaborate with Account Executives to assist in product evaluations and expansions.Provide structured feedback to Engineering and Product teams to enhance the platform based on real-world application.Required QualificationsStrong technical foundation with experience in building across APIs and web technology stacks.Previous experience in a pre-sales capacity.Demonstrated ability to communicate effectively with both customers and internal teams.High level of initiative: you should be adept at identifying and resolving issues independently (provide examples of initiatives led from inception to completion).Experience in developing integrations or solutions that enhance user adoption.

At Magic, we are dedicated to creating safe artificial general intelligence (AGI) that propels humanity forward in tackling the most pressing global challenges. We believe that the most effective route to achieving safe AGI involves automating the research and code generation processes to enhance models and resolve alignment issues more reliably than humans can achieve independently. Our methodology incorporates cutting-edge pre-training at scale, domain-specific reinforcement learning (RL), ultra-long context capabilities, and optimized inference-time computations.Role OverviewIn your role as a Software Engineer on the Pre-training Systems team, you will be responsible for designing and managing the distributed infrastructure necessary for training Magic’s long-context models at scale.This position emphasizes large-scale model training utilizing extensive GPU clusters. You will operate at the intersection of deep learning and distributed systems, ensuring that training processes are efficient, reliable, and reproducible under extreme conditions.Magic’s long-context models present complex systems challenges, such as sustained memory usage, communication overhead across thousands of devices, long-duration jobs requiring fault tolerance, and efficient sequence packing within hardware limitations. You will take ownership of the systems that ensure large-scale pre-training is both stable and rapid.Your ContributionsScale distributed training across large GPU clusters, implementing data, tensor, and pipeline parallelism.Optimize communication strategies and gradient synchronization.Enhance checkpointing, fault tolerance, and job recovery mechanisms.Profile and resolve performance bottlenecks across computing, networking, and storage.Advance experiment reproducibility and orchestration workflows.Boost hardware utilization and overall training throughput.Collaborate with Kernel and Research teams to align model architecture with system capabilities.Qualifications We SeekSolid foundation in software engineering and distributed systems.Experience with training large models in multi-node GPU environments.In-depth understanding of parallelism techniques and performance trade-offs.Experience in debugging cross-layer issues within production ML systems.Demonstrated ownership mentality and capability to manage critical infrastructure.Proven track record in enhancing the performance or reliability of large-scale systems.

About OmniOmni is a cutting-edge business intelligence and embedded analytics platform designed to empower customers to explore, analyze, and act on their data effectively.With our headquarters in San Francisco and additional hubs across EMEA and APAC, we are supported by prominent investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAs a Senior Pre-Sales Solutions Engineer, you will gain in-depth expertise in the Omni platform, enabling our customers to maximize their data utilization throughout its lifecycle. You will engage with organizations from various sectors, regions, and sizes. Our high-touch, forward-deployed model encourages continuous learning and discovery of new use cases and customer needs. You'll passionately advocate for our users and contribute to shaping product direction by relaying experiences and insights from the field.Your Responsibilities:Collaborate with the sales team to deliver technical expertise throughout the sales process, uncovering and validating use cases that demonstrate the Omni platform's value.Create and deliver compelling Proofs of Concept utilizing the Omni Platform during the evaluation phase and guide prospective customers on how to effectively leverage Omni with their data.Facilitate seamless transitions of trials into successful customer relationships by partnering with post-sales teams and coordinating ongoing support with our partners.Work closely with Product, Design, and Engineering teams to provide user feedback that will inform and enhance product development.Your Qualifications:7+ years of experience in data analytics or a technical pre-sales capacity.Proficient SQL skills, with a focus on analytics.Experience in client-facing roles, with a strong desire to collaborate closely with customers.Exceptional consultative communication skills, capable of engaging both technical and non-technical audiences.A genuine passion for working with data.A commitment to continuous learning and a desire to help and educate others.Prior experience with business intelligence and/or enterprise data analytics tools, preferably with modeled BI solutions like Looker.

Why Join Mintlify?At Mintlify, we are dedicated to empowering builders in the tech industry.Extensive Reach: Our documentation platform serves over 100 million developers annually and supports documentation for more than 18,000 companies, including notable names like Anthropic, Microsoft, PayPal, Spotify, and Coinbase.Small Team, Significant Impact: With a team of fewer than 50 individuals and $22 million in funding, every new team member has a direct influence on our growth and direction.Culture of Growth: We prioritize quick learning, resilience, and embracing unique personalities.As we continue to grow in value, we seek to align our headcount with our ambitions.Role OverviewThis Pre-Sales technical role is an integral part of Mintlify's Sales Team. Rather than performing standard demonstrations, you will be a builder, collaborating closely with Account Executives to close complex enterprise deals through scoping, prototyping, and delivering tailored technical solutions.As enterprise clients assess Mintlify, they often require additional technical validation. Your mission will be to streamline this process by translating customer needs into actionable technical solutions, creating necessary prototypes to showcase value, and supporting the sales team in securing larger, intricate deals without overburdening our core engineering team.In this position, you'll collaborate with Sales, Engineering, Product, and the CEO to land our most strategic deals and transform custom work into scalable, productized solutions.This position is for those eager to get hands-on and build innovative solutions.Key ResponsibilitiesDeal Execution & Technical ValidationCollaborate with Account Executives on complex enterprise and mid-market deals from initial discovery to final close.Conduct in-depth technical discovery to thoroughly understand customer documentation workflows, integrations, and success metrics.Design and build customized demos, prototypes, and proofs-of-concept that facilitate deal closures and expedite decision-making.Present technical solutions to diverse audiences, ranging from technical engineers to executive stakeholders.

About UsAt Reducto, we empower AI teams to accurately process real-world enterprise data. Our cutting-edge solutions unlock vast amounts of unstructured data—ranging from financial documents to health records—by training vision models to interpret these files intuitively, similar to human comprehension. This capability allows for scalable product development, model training, and process automation.With an impressive 7x year-over-year revenue growth, we collaborate with hundreds of leading organizations, including top AI teams and major enterprises. Our success is backed by over $100 million in funding from renowned investors such as A16z, Benchmark, and First Round Capital. We are seeking a dedicated Solutions Engineer to leverage our momentum and enhance our go-to-market strategies.The OpportunityJoin Reducto's solutions team as a key player in our customer engagements, facilitating sales and implementations with your technical prowess. You will serve as a vital link between our go-to-market and engineering teams, addressing the intricate needs of our enterprise clients. Your contributions will help shape the future growth of our organization.

Join Antithesis: Shaping the Future of Software TestingAt Antithesis, we are on a transformative journey to revolutionize the testing and release process of contemporary distributed systems. Our innovative platform is highly regarded by engineering teams that prioritize exceptional reliability, scalable performance, and comprehensive technical insights. We recognize the challenges developers face—whether it's dealing with production outages, stressful on-call weeks, or release delays due to elusive bugs. If you're driven by a passion for developer-centric tools, system resilience, and achieving correctness, we want to hear from you!Your Role as a Solutions EngineerWe seek a creative problem solver, an enthusiast who thrives on challenges and embraces unconventional thinking. As a Solutions Engineer, you will leverage the full suite of Antithesis tools and technologies to identify bugs and disrupt our customers' software positively. You will also play a pivotal role in communicating the groundbreaking approaches to software testing and reliability that Antithesis introduces to the industry.Key ResponsibilitiesConduct Proof-of-Concept (POC) engagements to showcase the value of Antithesis products to prospective customers.Engage in onboarding activities for new customers.Assist the sales team with technical assessments and consultations.Facilitate workshops for customers on Property-based Testing (PBT) and related subjects.Identify bugs within open source software.Provide thought leadership in testing complex systems.Create, maintain, and demonstrate product demos.Guide clients and prospects in utilizing the Antithesis platform and its testing methodologies.

About CartesiaAt Cartesia, we are on a mission to revolutionize AI by creating interactive intelligence that is seamlessly integrated into your daily life. Currently, existing models struggle to continuously analyze vast streams of audio, video, and text data—encompassing 1 billion text tokens, 10 billion audio tokens, and 1 trillion video tokens—let alone processing this data on-device.Our innovative team, consisting of PhD experts from the Stanford AI Lab, has pioneered State Space Models (SSMs) as a new foundation for training efficient, large-scale AI models. We pride ourselves on our deep expertise in model innovation and systems engineering, combined with a design-focused product engineering team that develops and delivers cutting-edge models and user experiences.Supported by prominent investors like Index Ventures and Lightspeed Venture Partners, alongside Factory, Conviction, A Star, General Catalyst, and SV Angel, we benefit from the insights of leading advisors and over 90 angels from various industries, including some of the most respected figures in AI.About the RoleWe are seeking an Enterprise Engineer to help propel our mission of creating real-time multimodal intelligence through the deployment of agile voice AI solutions for our customers.Your ImpactDesign and construct enterprise-grade systems, including On-Premise Deployments and Agent Infrastructure.Take ownership of creating and implementing robust platform capabilities tailored to enterprise requirements—focusing on the abstractions, core modifications, and infrastructure that support Cartesia's largest clients.Transform recurring deployment patterns (including gaps, incident themes, and evaluation results) from temporary solutions into scalable, long-term platform features.Establish and elevate standards for reliability, security, and operational excellence across Cartesia's enterprise interface.You will have substantial responsibility over core capabilities that will determine Cartesia's scalability within the most challenging enterprise environments worldwide.What You BringSolid backend engineering expertise—you have designed and implemented infrastructure, platform services, or foundational abstractions utilized by other teams.Proficiency in Go and/or Python programming languages.You prioritize long-term maintainability in your design and coding practices.