Customer Success Solutions Engineer Jobs

Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2’s Winter 2026 Report, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at amplitude.com . As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. About The Role & Team Amplitude is the leading AI analytics platform, and our ability to deliver measurable customer outcomes quickly is a key part of how we keep that lead. The Customer FDE (Forward Deployed Engineering) team sits at the intersection of engineering, product, and customer success — owning the technical delivery that takes validated products from co-development and implements them across enterprise customers. As a Customer Forward Deployed Engineer, you will own end-to-end technical delivery for enterprise customer implementations, from sales engagement through post-deployment validation. You'll work directly in Amplitude's product codebase, submitting PRs, shipping customer-specific solutions, and building reusable patterns that make every successive engagement faster. This is not a traditional support or solutions role. Customer FDEs a

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ law firms, and we’re growing fast. Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed. Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up. AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work. Explosive growth: We are growing 2X revenue Quarter over Quarter. What You'll Do: Solution Design: Collaborate with Eve’s Sales and Success teams to understand customer needs and design tailored solutions that help them drive towards their desired outcomes. Pilot Strategy & Execution: Co-own both product and technical evaluations with sales, define scope, environments, dependencies, success criteria, and execution plans that drive conversion from pilot to production. Technical Liaison: Translate customer workflows into scalable integration designs, define data mappings and API strategies with IT and engineering, and validate technical readiness through structured discovery before delivery. Product & Market Feedback Loop: Serve as the connective tissue between customers and product. Captu

Who We Are At Justworks, you’ll enjoy a welcoming and casual environment, great benefits, wellness program offerings, company retreats, and the ability to interact with and learn from leaders in the startup community. We work hard and care about our most prized asset - our people. We’re helping businesses get off the ground by enabling them to focus on running their business. We solve HR issues. We’re data-driven and never stop iterating. If you’d like to work in a supportive, entrepreneurial environment, are interested in building something meaningful and having fun while doing it, we’d love to hear from you. We're united by shared goals and shared motivations at Justworks. These are best summed up in our company values, which are reflected in our product and in our team. Our Values If this sounds like you, you’ll fit right in. Who You Are You are a senior product engineer who enjoys solving hard problems where software, APIs, and real developer workflows meet. You can take a partner's desired customer experience, understand both sides of an integration, and deliver a practical, supportable solution with the capabilities that are available today. You bring strong API and web-platform fundamentals, communicate comfortably with external technical audiences, and care as much about the developer's path to success as the code itself. You are not satisfied with repeatedly solving the same problem by hand: you turn what you learn from partner work into better SDKs, documentation, tooling, and integration patterns. What You Will Work On Independently lead technical discovery and solutioning for priority partner integrations, including partner API research, data mapping, authentication and authorization flows, architecture choices, implementation support, and launch readiness. Build and maintain high-quality developer ecosystem capabilities: portal experiences, documentation tooling, SDKs, sample apps, quickstarts, integration templates, and developer-support automat

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Are you a visionary technical leader who can architect mission-critical cloud solutions and serve as a trusted advisor to customers? Drive digital modernization. Location: Mexico City, MX | Work Model: Hybrid (4 days/week on-site) About the Team Appian Customer Success is obsessed with supporting our customers’ missions by delivering transformative, high-velocity automation solutions. Our Architecture team works hand-in-hand with customers, advising and supporting them on how to design, secure, and deliver resilient enterprise systems. By joining this elite technical group, you will lead the creation of innovative market offerings that accelerate agency modernization using our AI-Powered Process Automation platform. The Opportunity As a Solution Architect within our Customer Success division, you will operate as a premier technical leader and trusted advisor to high-profile clients. This role is vital right now because customers are rapidly shifting toward secure, unified cloud architectures. You will combine your advanced engineering, product, and business skills to design integrated architectures, navigate complex compliance, author winning technical proposals, and empower agencies to achieve true Enterprise-Grade Orchestration . What You’ll Do Architect Secure Solutions: Advise customers on the technical design, multi-tier architecture, and deployment of Appian solutions across hybrid environments. Lead DevSecOps & Automation: Guide clients on cutting-edge software development practices, program governance, and delivery automation—including Infrast

About the role As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Triage and respond to inbound support tickets across self-serve and enterprise customers using a support/CRM platform; identify patterns in ticket clusters (e.g., a wave of the same error code), surface them to engineering with context and affected case lists, and follow through to resolution. Draft clear, accurate status updates and maintenance notifications for customers during planned maintenance windows or incidents; communicate expected impact without exposing internal platform details. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Answer customer questions about the platform's API, model/fine-tuning workflows, model availability, and deployment/endpoint configuration; reproduce reported errors to confirm expected vs. broken behavior and provide actionable next steps. Provision and configure SSO connections for enterprise customers (Google Workspace, Okta, Azure AD, etc.); guide customers through IdP-side setup steps; diagnose login failures by cross-referencing the platform's identity provider configuration against the customer's; escalate confirmed platform-side gaps. Triage customer billing questions using bill

About the role As a Technical Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Required hours This is a fulltime position working India daytime hours. The role will work both weekend days (Saturday and Sunday) as well as two additional weekdays. This is a 4-day shift, 10 hours per day, with 2 additional hours of on-call coverage on Saturdays and Sundays. The role would start as a Monday to Friday role for the first few months to allow for ramping up and learning from teammates. After being considered fully ramped, the role would transition to the 4-day weekend shift. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge GPU clusters and our inference and fine-tuning services; ensure swift and effective solutions every time. Act as a customer facing SRE to ensure our customer’s Inference endpoints (running on Kubernetes) remain healthy, stable, and performant Become a product expert in all of our Gen AI solutions, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Assist with hardware and platform migrations by validating system health and traffic routing. Monitor dashboards to detect anomalies and escalate with data-backed analysis Manage customer-facing communications during incidents and degradations; translate deep technical findings (latency regression

About the Role As a Customer Support Engineer at a pioneering AI company, you'll be the first line of defense to support customers as they build out training, fine tuning, and inference solutions with Together AI. You'll dive deep into complex technical challenges, providing swift and effective solutions while serving as a product expert. As a part of the Customer Experience organization, you will collaborate closely with product and sales, driving continuous improvement of our offerings. This is an exciting opportunity for a deeply technical professional passionate about AI and customer success to make a significant impact in a fast-paced, innovative environment. Responsibilities Engage directly with customers to tackle and resolve complex technical challenges involving our cutting-edge Kubernetes GPU clusters; ensure swift and effective solutions every time. Become a product expert in our GPU Cluster service, serving as the last line of technical defense before issues are escalated to Engineering and Product teams. Collaborate seamlessly across Engineering, Research, and Product teams to address customer concerns; collaborate with senior leaders both internally and externally to ensure the highest levels of customer satisfaction. Transform customer insights into action by identifying patterns in support cases and working with Engineering and Go-To-Market teams to drive Together’s roadmap (e.g., future models to support) Maintain detailed documentation of system configurations, procedures, troubleshooting guides, and FAQs to facilitate knowledge sharing with team and customers. Be flexible in providing support coverage during holidays, nights and weekends as required by business needs to ensure consistent and reliable service for our customers. Requirements 3+ years of experience in a customer-facing technical role with at least 1 year in a support function in AI or supporting a mission-critical API in SaaS Strong technical background, with knowledge of AI, ML, GPU

CSQ427R351 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. Excellent time management and prioritization skills. Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — in

CSQ327R201 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by providing technical assistance across their lifecycle. You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows. You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required. Knowledge of AI-driven development with programming languages like Python or SQL. Understanding of the end-to-end data analytics and data engineering workflow. Excellent time management and prioritization skills. Bonus: Experience in consulting or pre-sales roles, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Database Engineers in Appian’s Public Sector Customer Success department build the scalable foundation behind mission-critical systems that power the world’s most demanding enterprises and government organizations. Location: McLean, VA | Work Model: In-Office / Hybrid About the Team Appian’s Customer Success Public Sector team builds mission driven solutions that ensure peak performance, high availability, and data security for key Department of War (DoW) initiatives. We empower government organizations to modernize legacy systems using AI-Powered Process Automation and Enterprise-Grade Orchestration, ensuring seamless data access at scale. The Opportunity As a Senior Database Engineer, you will design, develop, and maintain a complex data architecture to support our long-term DoW efforts. With extensive experience with Relational Database Management Services (RDMS) and NoSQL databases, you will architect a data architecture for the program that will be capable of handling extremely large datasets, migrate legacy data into the modern architecture, and ensure high availability and performance for the systems being implemented. What You’ll Do Design and develop database architectures and data models to support the customer’s contract requirements by working closely with the Appian team to build logical and physical data models. Analyze legacy database structures to identify incompatibilities, data type mismatches, and migration risks before moving workloads to the cloud. Convert legacy stored procedures, triggers, views, and functions into targe

Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you’ll be part of a passionate team dedicated to accomplishing hard things, together. Senior DevOps Engineer Are you an elite technical leader with an active Top Secret clearance who excels at scaling complex cloud infrastructure, engineering robust automated systems, and serving as a trusted advisor to federal agencies? Protect and optimize mission-critical public sector systems. Location: McLean/Tysons, VA | Work Model: On-site (4-5 days per week) About the Team Appian Customer Success is obsessed with supporting our federal customers’ missions by delivering transformative, high-availability cloud automation solutions. Our Federal DevOps Engineering team works hand-in-hand with government agencies, ensuring their automated workflows are resilient, securely scaled, and continuously optimized. Grounded in a culture of in-person collaboration at our McLean HQ, we tackle complex technical challenges to keep public infrastructure running smoothly. The Opportunity As a Senior DevOps Engineer within our Federal Customer Success division, you will operate as a premier technical leader and strategic advisor to high-profile public sector clients. This role is vital right now because federal agencies are rapidly shifting toward complex, secured cloud environments and automated system architectures. You will combine your technical mastery, product expertise, and business intelligence to lead large-scale environment installations, manage automated cloud deployments, and empower agencies to achieve true Enterprise-Grade Orchestration . What You’ll Do Lead Enterprise Cloud Scaling: Act as the technical authority overseeing the installation, operation,

Req ID: CSQ327R200 Location: Tokyo, Japan At Databricks, we aim to empower our customers to solve the world's most challenging data problems using the Data Intelligence platform. As a Scale Solution Engineer, you will be critical in advising customers during their onboarding. You will work directly with customers to help them onboard and deploy Databricks in their production environment. The impact you will have: You will ensure new customers have an excellent experience by providing technical assistance early in their journey You will become an expert on the Databricks Platform and guide customers in making the best technical decisions You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience 2+ years experience in a technical role, preferably in the data or cloud field Knowledge of at least one of the public cloud platforms AWS, Azure, or GCP is required. Knowledge of a programming language - Python, Scala, or SQL Knowledge of end-to-end data analytics workflow Hands-on professional or academic experience in one or more of the following: Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow) Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake) Excellent time management and prioritization skills Bonus - Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models) Excellent written and verbal communication in Japanese and English Excellent time management and prioritization skills Nice to have: Databricks Certification About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices ar

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Staff Forward Deployed Engineer who’s excited to build with the engineers using the AI computers Tenstorrent makes. You will create continuity between customers, engineering, and AI inference service products. This is an engineering role first: you contribute production code, operate deployments, and you can explain a trade-off to customer leadership as clearly as to core engineering teams. This is a high-autonomy role with direct customer impact. This role is remote, based out of North America, with preference near one of our main hubs: Santa Clara, CA; Austin, TX; or Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You understand how accelerator compute, memory, and networking topology constrain AI workloads, and don't treat hardware as a black box. You're an early adopter of AI for your work from coding to building agentic workflows that multiply your impact. You work directly with customers to understand their challenges and provide effective solutions. You are comfortable debugging across the full inference stack: from failing requests, through the serving layer, down to OOMs or kernel dispatch if n

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: Directly influence our software and model roadmap by surfacin