Founding Solutions Engineer, Post-Sales

Join dust as a Founding Solutions Engineer in our Post-Sales team, where you will play a pivotal role in shaping our customer experience and driving product success. You will collaborate closely with clients to understand their needs, provide tailored solutions, and ensure the seamless integration of our innovative technology into their operations. As a key member of our team, you will leverage your technical expertise to deliver exceptional service and support, fostering lasting relationships with clients. Your insights will also contribute to product enhancement, helping us to continually refine our offerings based on real-world usage and feedback.

Join Us at Mintlify!At Mintlify, we're dedicated to empowering creators and innovators.Extensive Reach: Our documentation platform caters to over 100 million developers annually and supports more than 18,000 businesses, including industry leaders like Anthropic, Microsoft, PayPal, Spotify, and Coinbase.Small Team, Big Impact: With fewer than 50 team members and $22 million in funding, each new hire plays a crucial role in shaping our journey.A Culture of Growth: We prioritize rapid learning, resilience, and embracing individuality.As we've expanded in value, we're now looking to quickly align our growth with our headcount.Your Role and ResponsibilitiesManage High-Volume Migrations: Oversee 6+ migrations weekly for SMB and Mid-Market clients, acting as the technical leader from initiation to go-live (10-12 day cycles).Oversee Offshore Migration Team: Dedicate 60% of your time to coordinating with our overseas partners—assigning tasks, conducting quality checks, and ensuring deliverables align with Mintlify standards.Support Fast-Growing Accounts: Allocate 40% of your time to high-potential clients through dedicated Slack channels—providing technical assistance, prioritizing feature requests, and facilitating onboarding for expanded use cases.Technical Execution: Resolve migration issues, create custom scripts, and devise technical solutions when complexity demands direct engineering involvement.Client Communication: Maintain proactive communication throughout migrations (30% of your time), setting expectations, providing updates, and instilling confidence in the process.Collaborate with Engineering: Work alongside product and engineering teams (10% of your time) to prioritize and deliver essential features or fixes that enhance customer success at scale.Develop Customer Health Infrastructure: Partner with the Head of Post-Sales/CS to design and implement CRM tracking systems, customer health score models, and operational dashboards for the scaled segment.Analyze Product Metrics: Monitor adoption rates, feature usage, and migration metrics to drive continuous improvement.

Join Pylon Labs: Pioneering the Future of B2B Post SalesAt Pylon, we're revolutionizing B2B post-sales support with our all-in-one platform, seamlessly powered by conversational data and enhanced with intelligent features. Our mission is to empower our customers to operate their businesses in real-time.With backing from renowned investors including a16z, BCV, General Catalyst, and Y Combinator, we proudly support over 1000 companies, such as Linear, Cognition (developers of Devin), Modal Labs, and Incident.io, who rely on Pylon for their customer success and support workflows. We are also honored to be featured on the Enterprise Tech 30 List.This position is fully in-person, as we believe in the value of collaboration and teamwork.Key ResponsibilitiesFacilitate the migration of new customers from their legacy support systems to Pylon.Conduct customer migration meetings within your first week.Act as the primary problem-solver for customers, guiding them in restructuring their processes and data on Pylon.Become a product expert and assist customers in finding the right solutions, even when they are unsure of their needs.Participate in pre-sales discussions as the go-to expert for potential solutions.Develop expertise not just in Pylon, but also in systems we migrate from (like Zendesk, Intercom, etc.).Manage multiple customer migrations concurrently and drive them to successful completion.Continuously enhance the migration process for efficiency.QualificationsBased in or willing to relocate to San Francisco, with a strong desire to work in-person.Highly organized, diligent, and capable of handling multiple migrations simultaneously.Detail-oriented and quick to learn; you will need to master various tools swiftly.A passion for experimenting with the product and recommending improvements.Benefits Comprehensive medical, dental, and vision insurance for employees 401(k) retirement savings plan Commuter benefits Parental leave

Role overview RelevanceAI is seeking a Senior Solutions Engineer to support customers after the sale. This role focuses on helping clients implement and optimize RelevanceAI’s solutions. Expect to collaborate directly with customers to understand their goals, offer technical guidance, and encourage product adoption. What you will do Work with customers to identify needs and tailor solutions post-sale Provide technical expertise throughout the implementation process Translate complex technical concepts for both customers and internal teams Support product adoption and ensure clients get the most from RelevanceAI’s offerings Location San Francisco, United States

Join Pylon Labs and Shape the Future of B2B Post Sales!At Pylon, we are revolutionizing B2B post-sales support with an all-inclusive platform that leverages conversational data and advanced intelligence, empowering our clients to manage their operations seamlessly in real-time.Supported by leading investors including a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1,000 companies such as Linear, Cognition (creators of Devin), and Modal Labs, who trust us to streamline their support and customer success workflows. We are also honored to be featured on the Enterprise Tech 30 List.This role is fully in-person; remote or hybrid options are not available. Your RoleEngage directly with customers while developing bespoke solutions.We seek a former Software Engineer who appreciates the power of automation—complete a task once and automate it, never to revisit it.Facilitate the migration of new customers from their legacy support systems to Pylon.Lead customer migration meetings within your first week.Serve as the primary 'problem-solver' for customers as they transition to Pylon, guiding them through the reconstruction of their processes and data.Become a product expert and assist customers in identifying the most suitable solutions, even when they may not initially understand their needs.Participate in pre-sales calls, showcasing your expertise in potential solutions.Develop proficiency not only in Pylon but also in the systems we are migrating from (e.g., Zendesk, Intercom).Manage multiple customer migrations simultaneously, ensuring timely completion.Continuously refine and enhance the migration process.RequirementsMust be located in or willing to relocate to San Francisco and eager to work on-site.Highly organized and quick to adapt; you’ll be managing multiple migrations concurrently.Detail-oriented with a strong capacity to learn rapidly; you will need to master various tools promptly.A passion for product innovation and the ability to suggest enhancements.Our BenefitsWe offer a vibrant work culture with numerous perks to enhance your experience.

Role overview Otter.ai is hiring a Technical Delivery Manager to join the Post-Sales team in San Francisco, CA. This position focuses on supporting enterprise customers after the sale. The role combines technical expertise with relationship management, working closely with Customer Success, Sales, and Product teams. The main goal: ensure smooth deployments, manage integrations, and help organizations scale their use of Otter’s AI-powered solutions. Expect a hands-on, customer-facing environment where both technical problem-solving and communication are essential. What you will do Serve as the technical lead for enterprise clients after purchase, guiding them through implementation and preparing for future growth. Collaborate with Customer Success Managers and Account Executives to onboard new clients, encourage adoption, and expand Otter usage within large organizations. Lead technical discovery sessions and design solutions tailored to each customer’s workflows and requirements. Advise on and support integrations involving APIs, calendars, workflows, and internal systems. Troubleshoot and resolve complex technical issues, acting as a trusted advisor to customer engineering teams. Promote best practices for deploying Otter at scale across enterprise environments. Work with Product and Engineering to share customer feedback and influence the product roadmap. Create reusable documentation, assets, and frameworks to support technical success after the sale. Requirements Minimum 3 years in Solutions Engineering, Technical Account Management, Professional Services, or a similar post-sales role. Experience supporting enterprise customers with complex technical environments. Strong understanding of APIs, integrations, and SaaS architectures. Proven ability to work across Sales, Customer Success, Engineering, and Product teams. Comfort engaging with both technical stakeholders (engineering, IT) and executive leaders. Experience with AI, data, or workflow automation platforms is a strong plus. Excellent problem-solving skills and a customer-first approach. How success is measured Reduce Time to Value (TTV) for enterprise customers by streamlining onboarding, implementation, and integration. Support high Year 1 Gross Revenue Retention (GRR) by driving adoption and reducing early churn risk. Maintain high Customer Satisfaction (CSAT) through proactive support and technical expertise. Contribute to account expansion and growth, positively impacting Net Dollar Retention (NDR).

Join Baseten as a Post-Training Research Engineer and contribute to groundbreaking advancements in machine learning and AI. In this role, you will leverage your engineering skills to analyze and enhance models post-training, ensuring optimal performance and efficiency.

Join Samsara as a Partner Solutions Sales Engineer, where you will leverage your technical skills to support our strategic partners. In this remote position, you will work closely with our sales team to provide technical expertise and drive customer success by delivering tailored solutions that meet clients' needs.

Join Dust as a Founding AI Deployment Strategist, where you will spearhead the transformational journey of AI adoption for our clients. In this pivotal role, you will act as a trusted product expert, guiding customers through onboarding, training, and strategic enablement initiatives that translate their business challenges into impactful AI use cases with measurable results. As our first AI Deployment Strategist based in the U.S., you will have the unique opportunity to help shape a new product category in a dynamic environment focused on ownership and meaningful impact.

OpenAI is hiring a Software Engineer for Post-Training Research in San Francisco. This position centers on improving the performance and capabilities of advanced machine learning models after their initial training phase. Role overview Work closely with a skilled team to explore new ways of strengthening AI systems. The focus is on researching and developing methods that push the boundaries of what these models can achieve once training is complete. Collaboration Expect to contribute to ongoing research efforts and share insights with colleagues who are passionate about advancing AI. Teamwork and knowledge exchange are key parts of this role. Location This position is based in San Francisco.

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 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.

Advancing Self-Improving SuperintelligenceAt Letta, we are on a mission to revolutionize artificial intelligence by creating self-improving agents that learn and adapt like humans. Unlike current AI systems that are often rigid and brittle, our innovative approach aims to build adaptable AI that continually evolves through experience.Founded by the visionaries behind MemGPT at UC Berkeley's Sky Computing Lab, the birthplace of Spark and Ray, we are backed by notable figures in AI infrastructure, including Jeff Dean and Clem Delangue. Our agents are already enhancing production systems for industry leaders such as 11x and Bilt Rewards, continually learning and improving in real-time.Join our elite team of researchers and engineers dedicated to tackling AI's most significant challenges: creating machines that can reason, remember, and learn as humans do.This position requires in-person attendance (no hybrid options) at our downtown San Francisco office, five days a week.

Join Pylon: Innovating the Future of B2B Post SalesAt Pylon, we are revolutionizing the B2B post-sales landscape with our all-in-one support platform. Our solution harnesses the power of conversational data and advanced intelligence to empower our clients to manage their operations seamlessly and in real-time.Supported by industry leaders such as a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1000 clients including notable names like Linear, Cognition (creators of Devin), Modal Labs, and Incident.io. Our presence in the Enterprise Tech 30 List showcases our commitment to excellence.This role is fully in-person based in San Francisco; we do not offer remote or hybrid working options.Your RoleEngage directly with customers while architecting tailored solutions.We seek a former Software Engineer who knows the importance of automating tasks to enhance efficiency.Facilitate the migration of new clients from outdated support systems to Pylon.In your first week, lead customer migration meetings effectively.Act as the primary problem-solver for clients, assisting them in reimagining their workflows and data within Pylon.Develop deep product knowledge to guide customers toward optimal solutions, even when they may not fully understand their needs.Contribute to pre-sales discussions, becoming the definitive resource for solution exploration.Master both Pylon and the legacy systems we transition from (such as Zendesk and Intercom).Manage multiple customer migrations simultaneously, driving each to successful completion.Continuously refine the migration process for greater efficiency.QualificationsMust be located in or willing to relocate to San Francisco and thrive in an in-person work environment.Exceptional organization skills, a strong work ethic, and the ability to work quickly while managing multiple migrations.Detail-oriented and eager to learn, quickly becoming proficient in numerous tools.A passion for experimenting with the product and proposing enhancements.

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.

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 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.

Join Cribl as a Sales Engineer, where your expertise will help enterprises maximize their data management solutions. As a pivotal member of our sales team, you will engage with clients, demonstrating our innovative products and tailoring solutions to meet their specific needs. Your technical acumen, combined with your passion for sales, will drive success for our clients and for Cribl alike.

At Scale AI, we play a crucial role in advancing AI applications across various industries. As our customer base expands at an unprecedented rate, you will be at the forefront of ensuring that the world's most innovative companies become devoted, long-term partners with Scale. As an Enterprise Solutions Engineer, you will collaborate closely with Account Executives (AEs), Product Managers, and Machine Learning Engineers (MLEs) to guide prospective clients through the pre-sales process. Your role will involve delivering customized demonstrations and pilot projects to achieve the coveted 'technical win.' You will assess customer technical requirements and create actionable Scopes of Work (SOW). Working hand-in-hand with our delivery team, you will also assist in the initial implementation phase. With an unwavering curiosity about customer needs and challenges, you will leverage your profound knowledge of Scale products and Generative AI to craft tailored solutions. Your ability to build strong relationships, manage projects effectively, and provide technical insights will be essential to your success in this role.

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