Senior Solution Engineer (Pre-Sales) - San Francisco

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.

Omni develops an AI analytics platform designed to make company data reliable and accessible. The platform combines a semantic model, shared metrics, and Git-based governance to create a context graph for enterprise use. With this foundation, users can query data in plain English, integrate AI agents, and incorporate Omni’s intelligence into daily workflows. Headquartered in San Francisco, Omni serves customers across EMEA and APAC. The company has secured $97 million in funding from investors such as Google Ventures, Snowflake, Databricks, and ICONIQ. Role overview The Senior Pre-Sales Solutions Engineer will become deeply familiar with the Omni platform, guiding customers as they explore and maximize the value of their data. This role involves working directly with a diverse client base, understanding their industries, and uncovering new use cases through practical engagement. Advocating for users and relaying insights from the field to influence product development are also central responsibilities. What you will do Collaborate with the sales team to provide technical expertise during the sales cycle, identifying and validating use cases that demonstrate Omni’s value. Build and deliver Proofs of Concept within the Omni platform, helping prospective customers work with their own data during evaluations. Facilitate smooth handoffs from trials to ongoing customer relationships by working with post-sales teams and partners to ensure continued support. Work closely with Product, Design, and Engineering teams, sharing user feedback to help shape product direction. Requirements Minimum 7 years of experience in data analytics or technical pre-sales roles. Strong SQL skills, especially for analytics work. Experience in client-facing positions and a collaborative approach with customers. Excellent consultative communication skills with both technical and non-technical stakeholders. Genuine interest in data and a desire to teach and support others. Motivation to keep learning and developing professionally. Experience with business intelligence or enterprise data analytics tools is a strong advantage. Location This role is based in Australia.

About OmniOmni is a cutting-edge business intelligence and embedded analytics platform designed to empower customers by enabling them to explore, understand, and act on their data insights.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 RoleWe are on the lookout for a dedicated Product Expert to deliver exceptional technical support to our clients. In this role, you will leverage your expertise in SQL, data analytics, and the Omni platform to assist customers in overcoming data challenges, mastering best practices, and effectively navigating our solutions. As the face of Omni, you will represent our clients' interests internally and provide them with personalized attention while addressing their needs.At Omni, we pride ourselves on delivering stellar, high-touch technical support throughout the customer journey, and the Product Expert plays a pivotal role in enhancing the customer experience!Your Responsibilities:Deepen your expertise in the Omni product and its best practices.Support our customers, potential clients, and partners through Slack, serving as the frontline resource as they explore the product.Deliver proactive, positive, and above-and-beyond technical support, uncovering innovative solutions that address the underlying questions posed by users.Stay informed about the latest product enhancements and the development roadmap.Advocate for customer needs during internal discussions with the Product and Engineering teams.Collaborate with Solutions Engineering to detect trends and recommend product improvements and tooling solutions to enhance the customer experience.Share insights on actual usage across departments to inform product development and marketing strategies.Document feature requests and reproduce and report any bugs identified by Omni users.Contribute to our community site by sharing design patterns, solutions, and troubleshooting guides to facilitate self-service for users.

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 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 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 Choose Mintlify?At Mintlify, we aim to revolutionize how builders create and share documentation.Vast Reach: Our documentation platform supports over 100 million developers annually, providing solutions for more than 18,000 companies, including industry leaders such as Anthropic, Microsoft, PayPal, Spotify, Coinbase, and over 20% of the latest Y Combinator batch.Small Team, Big Impact: With a team of fewer than 50 talented individuals and backed by $22 million in funding, every new member plays a vital role in shaping our company’s future.Unique Company Culture: We prioritize learning velocity, perseverance, and embracing authentic individuality.We have outpaced our growth in value relative to headcount and are eager to balance the two swiftly.Role OverviewIn this position, you will collaborate closely with sales, engineering, product teams, and the CEO to secure our most critical deals and transform bespoke custom work into scalable, productized solutions.This position is ideally suited for someone who is hands-on and excited about building.Key ResponsibilitiesDeal Execution & Technical ValidationCollaborate with Account Executives on intricate enterprise and mid-market deals from initial discovery through to closing.Conduct thorough technical discovery to comprehend customer documentation workflows, integrations, and success criteria.Craft and develop tailored demos, prototypes, and proofs-of-concept that effectively remove obstacles and expedite decision-making.Present technical solutions to diverse audiences, ranging from front-line engineers to executive stakeholders.Technical Scoping & Risk ManagementTranslate customer needs into detailed technical specifications that the engineering team can feasibly deliver.Define custom projects with sufficient detail to inform pricing, timelines, and contract structures.Work with engineering leadership to estimate effort, evaluate feasibility, and identify potential risks early on. Recognize technical debt, integration complexities, or maintenance concerns prior to deal closure.Cross-Functional Enablement & CollaborationAct as the primary technical resource for sales teams, ensuring alignment between technical solutions and customer requirements.

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.

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 OmniOmni is an innovative business intelligence and embedded analytics platform designed to empower organizations in exploring, understanding, and acting on their data effectively.With our headquarters in San Francisco and operational hubs across EMEA and APAC, we are proud to be supported by top-tier investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAs a Software Engineer at Omni, you will engage with our entire technology stack to tackle diverse customer challenges. Collaborating with a highly skilled team, you will have the freedom to prioritize tasks and resolve issues independently or collectively.Your primary focus will be on developing user experiences, APIs, and data processing functionalities within our TypeScript application, leveraging the React and Remix frameworks.Our engineering culture prioritizes rapid, iterative shipping while upholding rigorous standards for performance and quality. Recent projects have included:Comprehensive spreadsheets integrated within our BI platform.A Managed Cloud Platform (MCP) server for Blobby, our AI chatbot that crafts queries within the boundaries of a semantic data model.CSV upload functionalities.APIs for various applications.Data writing capabilities to Google Sheets.QualificationsExceptional technical and communication skills.3-10+ years of experience in building production-level software with proficiency in TypeScript or JavaScript.Strategic mindset with the ability to align business and product objectives with development speed and engineering excellence.Proficiency in analytical tools such as SQL, Looker, Tableau, Mode, Amplitude, or Google Analytics.Preferred Qualifications:Experience in developing data products.Familiarity with data warehousing solutions like Snowflake, BigQuery, or Redshift.Knowledge of data use cases and the analytics ecosystem.Our Technology Stack:TypeScriptReact with RemixKotlin / JavaAWSWhy Join UsBe part of a dynamic and innovative team.Opportunity for professional growth and advancement.Contribute to exciting projects that make a real impact.

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 an innovative AI analytics platform that transforms company data into a reliable source of truth for artificial intelligence. Our semantic model ensures shared metrics, permissions, and Git version control, creating a governed context graph for enterprises. By seamlessly connecting to the company's data estate, Omni serves as the foundational layer for both native and external AI agents. Users can interact with Omni using everyday language, refine their inquiries in tailored workbooks, and integrate Omni's insights into their preferred tools.With our headquarters in San Francisco and additional hubs in EMEA and APAC, we are supported by esteemed investors such as ICONIQ Growth, Theory Ventures, First Round Capital, Redpoint Ventures, Google Ventures, Snowflake Ventures, and Databricks Ventures.About the RoleAt Omni, we are passionate about empowering companies to enhance their decision-making and develop new products using data. Since our commercial launch last year, we have cultivated a diverse and innovative customer base across various industries who trust in our product and team. As we embark on our growth journey, we are seeking sales trailblazers to elevate Omni to new heights.As a Business Development Representative (BDR), you will play a strategic and vital role in our team. Your primary responsibilities will include identifying and qualifying new business opportunities with potential customers and partners. You will be instrumental in managing early-stage sales opportunities and collaborating closely with our sales and marketing teams to design, iterate, and execute creative go-to-market campaigns with a proactive mindset.We are committed to promoting from within and supporting you in shaping your career path within the sales profession.

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.

At Stytch, we are revolutionizing user authentication and fraud prevention tools, empowering developers to create sophisticated authentication workflows effortlessly and swiftly.We are on the lookout for a skilled Solutions Engineer who excels in educating, problem-solving, and nurturing relationships with developers from leading companies. In this pivotal role, you will delve into our customers' needs, articulate solution designs, and spearhead technical assessments. As the authentication subject matter expert, you will collaborate with our customers' engineering teams to facilitate a seamless and efficient evaluation process.This is a full-time, hybrid position based in the San Francisco Bay Area. While we do not require you to be on-site five days a week, we value in-person collaboration and expect you to work in the office 2-3 days per week.