Senior Data Engineer - Scientific Data Engineering at Merge Labs | San Francisco Bay Area

At Merge Labs, we are at the forefront of scientific innovation, dedicated to harmonizing biological and artificial intelligence to enhance human potential and experiences. Our mission is to pioneer groundbreaking brain-computer interface technologies that communicate with the brain at unprecedented speeds, integrate seamlessly with advanced AI, and ensure s…

Merge Labs stands at the forefront of research, dedicated to integrating biological and artificial intelligence to enhance human capabilities, autonomy, and experiences. Our innovative approach focuses on developing groundbreaking brain-computer interfaces that operate at high bandwidth, seamlessly integrate with advanced AI technologies, and ensure safety and accessibility for all users.About Our TeamOur Core Software team at Merge is instrumental in constructing the software infrastructure that will empower the next wave of neuroscience. We are tasked with designing, implementing, and maintaining systems that transform experimental data into actionable insights—reliably, reproducibly, and on a large scale. Our audience includes biologists, clinicians, neuroscientists, and machine learning researchers. Our objective is clear: to create secure and efficient systems that accelerate scientific progress. As trusted partners in science, we uphold the highest software integrity standards, establish data collection and analysis interfaces, and democratize scientific data access across our organization.Position OverviewIn the role of Senior Application Engineer, you will be a pivotal member of our team, responsible for defining and developing the core application utilized by scientists, clinicians, and collaborators to interact with our specialized multi-modal hardware product. Collaborating closely with our hardware team, you will explore the possibilities, design intuitive user interfaces for clinicians, and craft efficient tools for our research scientists. This position, which reports to the Head of Software, is highly collaborative, engaging with data engineers to leverage our cutting-edge data platform and offer low-code and no-code solutions for complex laboratory workflows. You will cater to a diverse user base—from hardware engineers needing flexible, high-performance APIs to external research partners requiring user-friendly interfaces with built-in safeguards. A meticulous approach and a commitment to ethical software development are essential, as every user interaction must exemplify the highest standards of scientific practice.Key ResponsibilitiesDevelop software solutions enabling scientists to create tailored 3+1D treatment plans that combine functional ultrasound imaging with targeted ultrasound neuromodulation.Integrate ultrasound, microscopy, gantry, and other automation APIs into a cohesive application for executing both unique experiments and high-throughput screening.Collaborate with cross-functional teams to ensure alignment of technical solutions with user needs and safety standards.

At Merge Labs, we are at the forefront of research, dedicated to merging biological and artificial intelligence to enhance human potential, agency, and experience. Our innovative journey focuses on pioneering brain-computer interfaces that communicate with the brain at high bandwidth, integrating cutting-edge AI technologies while ensuring safety and accessibility for all users.About Our TeamThe Merge team is committed to addressing the most ambitious challenges in molecular engineering, synthetic biology, and neuroscience. Our Research Platform Team is tasked with constructing the experimental capabilities essential for swiftly and rigorously tackling these issues. We create instruments and pipelines that expedite molecular assembly, protein expression, mammalian cell culture, advanced microscopy, and sequencing, along with some unique custom methods. Collaboration with various program teams is key to establishing and optimizing these capabilities, automating processes where beneficial, and integrating with our data science and machine learning frameworks. Our innovative approaches are designed to significantly enhance throughput and drive continuous advancement.Role OverviewAs an Automation Engineer, you will play a critical role in developing automation pipelines to accelerate our key research initiatives. This position will utilize your existing technical and scientific knowledge while challenging you to quickly adapt to new scientific fields and develop additional experimental capabilities. You will work closely with program leads, project scientists, data scientists, and engineers to collaboratively design, implement, and scale research pipelines. This position requires independent work and may involve recruiting additional team members to support various projects.Key Responsibilities:Collaborate with program leads and project scientists to identify automation requirements and strategies.Leverage biological contexts and experimental insights to inform automation strategies and execution.Design, acquire, construct, program, and validate instrumentation and software, providing training to project teams.Ensure the quality, reliability, and integrity of data produced by automated pipelines, including establishing and integrating QC checkpoints.Work with data science and machine learning engineers to integrate metadata tracking, computational design, and analysis into experimental workflows.Collaborate with electrical, mechanical, and software engineers to streamline automation processes.

At Merge Labs, we are pioneering research at the intersection of biological and artificial intelligence, aiming to enhance human potential, autonomy, and experience. Our innovative approach focuses on developing cutting-edge brain-computer interfaces that communicate with the brain at high bandwidth, seamlessly integrate with advanced AI, and are designed to be safe and accessible for everyone.About Our TeamThe Lab Operations team serves as the essential operational foundation of Merge Labs, overseeing the complete lifecycle of our R&D environment—from the conceptualization and construction of our physical infrastructure to its large-scale operation. Our responsibilities encompass Equipment Management, Safety, Lab Facilities, Procurement, and Logistics, ensuring that the laboratory operates without a hitch. We view our operations role as a driving force, with a mission to establish a top-tier Lab Operations System that not only empowers our scientists and engineers but also accelerates their progress through optimal integrated systems and operational excellence.Key Responsibilities:Manage daily lab operations by executing essential tasks that keep the lab organized and functional—overseeing bench organization, glassware management, reagent and media inventory, and maintaining the meticulous upkeep necessary for a high-performing wet lab.Ensure accurate lab systems by logging equipment into asset databases, completing maintenance tracking sheets, and conducting inventory counts while adhering to our scheduled protocols to reflect real-time operations.Implement the equipment management strategy, which includes tagging new assets, updating the database, and scheduling preventive maintenance to maintain the accuracy of our operational records. This includes hands-on work such as running instrument calibrations, executing scheduled freezer defrost cycles, and routine equipment maintenance to keep the lab operational.Support the lab's supply chain by placing orders, receiving and logging shipments, restocking workstations and cold storage, and proactively identifying low inventory levels before they impact operations.Uphold a safe working environment by conducting daily facility checks—such as walkthroughs and hazard assessments—to ensure compliance with safety protocols.

Merge Labs is an innovative research laboratory dedicated to harmonizing biological and artificial intelligence, aiming to enhance human capabilities, autonomy, and overall experience. Our focus is on pioneering groundbreaking brain-computer interface technologies that interact with the brain at high bandwidth, seamlessly integrate with advanced AI systems, and ensure safety and accessibility for all users.About the Team:Our Bio team is at the forefront of designing, constructing, and evaluating the biotechnological foundations necessary for next-generation brain-computer interfaces. We employ a multidisciplinary approach, merging molecular engineering, synthetic biology, neuroscience, and advanced techniques such as ultrasound to create less invasive, high-bandwidth connections with neurons. The Bio team focuses on developing core molecular technologies, validating their efficacy both in vitro and in vivo, and showcasing their advanced capabilities through animal models. We create bespoke experimental setups and workflows, collaborating closely with engineers and data scientists to tackle some of the most demanding challenges in biotechnology.About the Role:As a Research Associate, you will be part of a multidisciplinary team driving critical biological research at Merge Labs, with two distinct tracks:Science-Track RAs engage directly in active scientific programs, collaborating closely with scientists to design, implement, and refine experiments across various fields such as protein engineering, cell biology, synthetic biology, neuroscience, and translational biology. Your experimental work will directly influence experimental decisions, execution, and technical strategies. This track is specifically structured to identify and nurture high-potential early-career scientists, facilitating their progression towards independent scientific roles.Platform-Track RAs focus on developing and maintaining the essential experimental capabilities that support ambitious scientific endeavors at scale. You will collaborate with platform leaders to operate, enhance, and innovate foundational workflows. This track values precision, systems thinking, and profound technical expertise, allowing you to transform delicate or custom experiments into robust, high-quality pipelines that propel the entire organization forward. This track offers a gratifying, long-term career path for individuals who excel in supporting research.In this Role, You Will:Conduct experiments in one or more domains, including:Molecular biology (cloning, CRISPR, etc.)

Merge is at the forefront of providing cutting-edge agentic tools and customer-facing integrations tailored for advanced LLMs, Fortune 500 companies, and B2B SaaS solutions. Our platform features two primary offerings: Merge Unified, which allows businesses to seamlessly incorporate hundreds of integrations through a single API, and Merge Agent Handler, designed to grant AI agents secure access to a plethora of third-party tools. Our enterprise-grade platform encompasses the full integration lifecycle, from authentication and security to continuous monitoring and maintenance. Trusted by thousands of companies, Merge accelerates product development, removes sales obstacles, mitigates customer churn, and conserves engineering resources, enabling teams to concentrate on their core products. Who are we looking for?We are seeking both backend and full-stack engineers to join our two engineering teams located in San Francisco. Our Foundations team develops Merge's infrastructure to achieve unprecedented levels of scalability, performance, and reliability. Simultaneously, our Automation team leverages Applied AI and large language models (LLMs) to create innovative, externally-facing products and enhance internal efficiencies through automation, intelligent tooling, and AI-native user experiences. We are hiring for mid- to staff-level positions, with evaluations based on relevant experience and interview performance. What you will do:Engage in roadmapping and architectural discussionsWrite high-quality, production-ready, maintainable, and readable codeLead substantial projects from initial conception to productionProvide support and unblock your team consisting of engineers, designers, product managers, and business operators

Join Us in Building a Safer Financial Future.At TRM Labs, we leverage blockchain analytics and AI technologies to empower law enforcement, national security agencies, financial institutions, and cryptocurrency enterprises in their battle against crypto-related fraud and financial crime. Our robust blockchain intelligence and AI solutions are designed to trace funds, identify illicit activities, construct cases, and provide comprehensive threat assessments. Trusted by leading global organizations, TRM Labs is dedicated to fostering a safer and more secure world.As part of our Data Platform team, you will work alongside a talented group of data scientists, engineers, and product managers to create highly available and scalable data infrastructure essential for TRM's products and services. In the role of Engineering Manager, you will spearhead the development of mission-critical systems and data services that analyze blockchain transaction activities at an unprecedented petabyte scale, contributing to a safer financial ecosystem for millions.Your Impact:Lead and mentor a dynamic team of skilled engineers, fostering a culture of technical excellence and collaboration.Provide ongoing coaching and technical guidance to your team and the broader engineering department.Assume responsibility for the quality and timely delivery of your team’s projects, ensuring optimal performance and reliability of critical services.Drive initiatives based on defined goals and measurable outcomes, aligning with key performance indicators (KPIs).Promote best practices in design and usability, developing scalable solutions accompanied by thorough documentation and knowledge sharing.Address escalations from operations and collaborate with various teams to resolve production incidents effectively.Work closely with management and product teams to strategize, estimate, and prioritize roadmap objectives, while identifying upcoming opportunities and risks.Develop highly reliable data services that integrate seamlessly with numerous blockchain protocols.Create and manage ETL pipelines that process and transform petabytes of structured and unstructured data in real time.Design efficient data models for optimal storage and retrieval, ensuring sub-second latency for querying blockchain data.Oversee the deployment and monitoring of large database clusters, ensuring high performance and availability.Collaborate cross-functionally with data scientists and backend engineers to deliver exceptional solutions.

Thank you for your interest in joining Uncountable Engineering!Uncountable is on the lookout for recent graduates eager to embark on a career in data engineering, focusing on the management of customer datasets. Our mission is to transform industrial research and development. We are in search of driven software engineers who can contribute to the creation of tools designed to expedite the development of new chemicals and materials.Your key responsibilities will include structuring and ingesting customer data into the Uncountable Web Platform, where scientists input and analyze their experimental data. In this role, you will (1) manipulate, transform, and upload R&D data using Python scripts; (2) establish ETL pipelines between Uncountable and customer data warehouses; (3) devise innovative solutions for users to import and export their data. This position requires a creative, analytical thinker with excellent cross-functional communication skills and the capability to analyze large datasets, identifying necessary steps to clean, process, and upload the data onto our platform.

Thank you for your interest in joining the Uncountable Engineering team!Uncountable is on the lookout for enthusiastic recent graduates eager to embark on a data engineering career focused on managing customer datasets. Our mission is to transform the landscape of industrial research and development. We seek driven software engineers to develop tools that expedite the creation of new chemicals and materials.In this pivotal role, you will structure and ingest customer data into the Uncountable Web Platform, where scientists conduct and analyze their experiments. Your responsibilities will include (1) manipulating, transforming, and uploading R&D data using Python scripts, (2) establishing ETL pipelines between Uncountable and various data warehouses utilized by our customers, and (3) devising innovative solutions for users to import and export their data. This role requires a creative and analytical mindset, strong cross-functional communication skills, and the ability to sift through large datasets to identify necessary steps for data cleaning, processing, and uploading onto our platform.

Join Our MissionThe trucking and logistics sector is essential to our economy, yet its payment infrastructure is outdated and inefficient. At AtoB, we are on a mission to revolutionize payment systems for this industry. We've identified the challenges faced by hardworking professionals in trucking — from outdated tools to hidden fees, and we are committed to delivering solutions that prioritize their needs.About AtoBOur goal is to create a seamless payment experience akin to Stripe, tailor-made for the transportation industry. We understand the critical role of timely capital movement in supply chains and strive to ensure it happens smoothly and fairly. Every product we develop enhances user experience and works intelligently within the unique constraints our customers face daily, whether they are fleet managers or drivers.Our ExpertiseOur founding team boasts extensive experience in the tech and payments landscape, with backgrounds from industry leaders like Cruise Automation, Uber, Google, Meta, and Stripe. We've attracted over $125 million in funding from prominent investors, including General Catalyst, Y Combinator, and major tech founders, positioning us as a leader in innovation within our sector.Recognized by Forbes as one of the Next Billion-Dollar Startups, we are also proud to join the World Economic Forum as a Global Innovator.

Join Our Innovative Applied AI LabAt cognition, we are at the forefront of applied AI, creating cutting-edge software agents. Our flagship products, Devin, the pioneering AI software engineer, and Windsurf, the AI-native integrated development environment (IDE), embody our vision of collaborative AI that empowers engineers to tackle complex challenges and pursue ambitious goals.Our elite team includes world-class competitive programmers, experienced founders, and leaders from renowned AI companies such as Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro. We are a small team with a rich talent pool, dedicated to pushing the boundaries of what AI can achieve.As we continue to develop Devin and Windsurf, we invite you to help us address some of the most pressing global challenges and create AI that can reason through real-world tasks. If you're passionate about solving big problems, we would love to hear from you!Role OverviewWe are seeking a Data Engineer to take ownership of our data stack, encompassing database architecture, data pipelines, integrations, and reporting. You will design and manage systems that ensure our data is reliable, accessible, and actionable for the Finance and Accounting teams.Key Responsibilities:Design and oversee database architecture and data models tailored for finance and accounting applications.Develop and maintain ETL/ELT pipelines and orchestration workflows.Create and manage data integrations between internal and external financial systems.Collaborate with Finance and Accounting teams to establish auditable, automated reporting systems, dashboards, and datasets.Support financial close processes, FP&A workflows, and revenue reporting through scalable data infrastructure.Own business reporting, including datasets, dashboards, metrics, and self-service analytics.Ensure data quality, observability, governance, and thorough documentation.

About HexusAt Hexus, we are dedicated to unlocking the hidden potential of AI and personalization for businesses. Our passion lies in revolutionizing product-led growth, transforming how companies connect with their customers, thereby enhancing product adoption and ensuring long-term success. With a robust suite of AI-driven tools, Hexus enables businesses to optimize their PLG strategies across Sales, Marketing, and Customer Experience.Supported by leading investors, industry experts, and renowned angel investors, our team is spearheaded by former FAANG founders with extensive experience in SaaS, ML, and UX. Join us in our mission to redefine customer experiences through AI and personalization.Your RoleAs a dynamic, design-driven startup, we are seeking a talented Senior Product Engineer to join our early-stage team. You will be instrumental in actualizing our product vision by creating clean, intuitive UI and UX, developing robust editing tools, and ensuring top-notch performance. We seek an individual who raises the bar for what’s achievable online and is passionate about crafting exceptional responsive, interactive, and enjoyable user experiences.In this role, you will:Collaborate closely with the founding team to design engaging user experiences.Execute critical projects that empower our customers daily.Rapidly prototype and iterate on new features and functionalities, driving ongoing innovation.Architect efficient and reusable frontend systems that support complex web applications.Contribute to shaping the direction of our design-led product.Qualifications5+ years of experience in frontend development.Proficiency in front-end development using TypeScript, React, NextJS, and Node.js.Strong skills in design and styling with frameworks like Tailwind or Material Design.Comprehensive understanding of the entire web stack, including protocols and web server optimization techniques.Familiarity with modern deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc.).Capacity to grasp user challenges and convert them into features and products.A desire to thrive in a fast-paced, iterative startup environment.

About InfluurAt Influur, we're pioneering the world's first viral agent—an AI specifically designed for influencer marketing.This isn't merely a tool or platform; it's an autonomous agent that transforms the campaign need from 'I need this campaign to break' to '50 influencers are live next week' with minimal human intervention.Why this matters: With three years of proprietary data on what drives influencer content to go viral, top brands like Warner, Sony, and Universal rely on us to launch their most significant artists. Our esteemed backers include entertainment icons such as Sofia Vergara, Karol G, Tommy Mottola, alongside Tier 1 venture capitalists like Point72 Ventures. We're not just theorizing; we're delivering production-ready AI that generates millions in revenue today.Why we'll win: We possess a unique advantage: both the data and the distribution. Our exclusive data on thousands of influencers and the factors that make content go viral, combined with direct relationships with the influencers, establishes our competitive edge. In the age of AI, having both is a significant moat—others have one or the other; we have both.Why now: By 2027, AGI agents are expected to replace middle-level jobs. We have a critical 12 to 18-month window to innovate before the market becomes saturated with agents. We are currently developing the category-defining social media viral agent.What we're looking for: We seek elite builders who desire full ownership over their work, not just a narrow role. This position transcends a traditional 'data engineer' job; it offers the chance to manage the entire lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. We provide meaningful equity for those eager to shape the future of agentic AI and own a tangible piece of it.

About World Labs: At World Labs, we are pioneers in building foundational world models that can perceive, generate, reason, and engage with the 3D environment. Our mission is to unlock the full potential of artificial intelligence through spatial intelligence, transforming vision into action, perception into reasoning, and imagination into creativity. We believe that spatial intelligence will pave the way for new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical realms. Our team is composed of exceptional talent united by a shared curiosity and passion for technology, ranging from AI research to systems engineering and product design. Together, we create a dynamic feedback loop between our cutting-edge research and innovative products that empower our users. Role Overview We are in search of a dedicated 3D Data Pipeline Engineer to design, build, and manage the critical systems that facilitate high-quality 3D data processing, synthetic data generation, and rendering across our suite of products. This hands-on role is ideal for someone enthusiastic about large-scale 3D data, system performance, and establishing reliable data pipelines to enhance our product features. In this position, you will collaborate closely with product engineers, 3D artists, and research scientists to develop efficient, robust, and scalable data pipeline capabilities while ensuring high data integrity and performance in our fast-paced startup environment.

Merge Labs is a pioneering research laboratory dedicated to uniting biological intelligence with artificial intelligence, aiming to enhance human potential, autonomy, and overall experience. We are innovating groundbreaking methods for brain-computer interfaces that facilitate high-bandwidth interactions with the brain, seamlessly integrate advanced AI, and ensure safety and accessibility for all users.About the Team:At Merge Labs, we are developing the future of brain-computer interfaces through the integration of cutting-edge advancements in synthetic biology, neuroscience, AI, and non-invasive imaging. Our cross-functional data and software engineering team collaborates closely with wet-lab scientists, automation engineers, and data scientists to construct a digital infrastructure that expedites molecular discoveries and optimizes device performance.About the Role:We are seeking a Senior / Principal ML Engineer to lead the development and ownership of the digital infrastructure supporting Merge's extensive computational operations. In this role, you will design distributed training and inference systems, experiment tracking, and deployment frameworks, empowering data scientists to swiftly iterate on models encompassing de-novo molecular design, biophysical modeling, signal processing, and computer vision. Your architectural contributions will transform research prototypes into production-ready systems, enhancing the speed, rigor, and fluidity of every computational scientist's workflow.Key Responsibilities:Develop the scientific and engineering framework for active learning and closed-loop optimization, including data ETL, machine learning modeling, and library architecture.Work alongside computational scientists to establish achievable optimization goals and encode domain-specific knowledge and constraints.Create model registries, evaluation frameworks, and automated reporting systems for benchmarking and experimental comparisons.Implement CI/CD pipelines and resource orchestration using tools like Kubernetes, Ray, or Slurm.Define and manage the ML engineering roadmap, providing mentorship to other computational scientists while establishing best practices for code quality, testing, and reproducibility.

About UsAt Rox, we are dedicated to empowering individuals to achieve their greatest potential. Our innovative platform enhances sales efforts through autonomous revenue agents, allowing sellers to prioritize their expertise in selling. Just as coding agents transformed engineering, revenue agents amplify customer interactions.We are revolutionizing the revenue stack by developing the world’s first revenue operating system, encompassing everything from the application layer to systems of context. At Rox, we envision a future where humans evolve into orchestrators while agents handle the complete customer lifecycle.Our solutions support Global 2000 leaders across sectors such as banking, construction, and AI, partnering with industry giants like Ramp and Cognition.Our success stems from a united belief in our mission and an unwavering commitment to making it a reality.The TeamOur world-class team is the backbone of our innovative approach to redefining business operations.Our team members have:Founded and successfully exited companiesHeld top roles at Google, AWS, Confluent, and New RelicWon gold medals in international mathematics competitionsPublished groundbreaking research papersWe are proud to be backed by leading investors, having raised $50 million from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We meticulously focus on every detail, striving to ensure that each interaction not only helps sellers accomplish their tasks but also enhances their experience. We are relentless in our pursuit of excellence, always exploring new ways to delight our sellers.Obsession: Commit unreasonably.We are dedicated to our craft, responding to customer needs proactively and driving value even before they ask. Our commitment to continuous learning and self-improvement is unwavering.Action: Get it done.Execution is key; we prioritize thoughtful yet swift decision-making and immediate delivery. Trust is essential in our field, and we earn it through our actions.

At Point, we're redefining the banking landscape by transforming the everyday debit card into a gateway for rewards and benefits. Join our innovative team as we embark on this exciting journey!We are seeking a skilled Data Engineer to lead our data initiatives at Point. In this role, you will be responsible for designing and implementing robust data pipelines and systems that will support the development of cutting-edge algorithms and models. You will have full ownership of our data infrastructure while establishing the groundwork for data engineering practices at Point. Collaborating closely with both the engineering and data science teams, you will play a pivotal role in driving product initiatives and achieving our business objectives. This position reports directly to the CTO.Discover more about Point's vibrant culture and dedicated team here.

Join our innovative team at Lever, where we are reimagining the recruitment landscape! As a Senior Data Engineer, you will play a pivotal role in developing our cutting-edge hiring software, which is trusted by industry leaders like Netflix, Shopify, and Cirque du Soleil. Your expertise will help us continue to push the boundaries of talent acquisition technology.Lever, founded a decade ago, addresses one of the most critical challenges companies face: attracting and hiring premier talent. Recognized as the #1 workplace in San Francisco and a top employer nationwide, we take pride in our people-first culture, investing in our team members – our greatest asset. If you're passionate about shaping the future of hiring, we want to hear from you!

About RoxAt Rox, we are dedicated to empowering individuals to excel in their work.Our innovative platform enhances seller performance with autonomous revenue agents that handle manual tasks, allowing sales professionals to concentrate on their primary role: selling. Just as coding agents exponentially increased engineering productivity, our revenue agents elevate customer engagement.We are revolutionizing the revenue landscape by developing the world’s first revenue operating system, integrating everything from the application layer to the system of context. At Rox, we envision a future where humans become orchestrators, while our agents efficiently manage the complete customer lifecycle.Rox serves Global 2000 leaders across sectors such as banking, hardware, construction, and sovereign AI, while also supporting prominent AI innovators like Ramp and Cognition.This success is built on a steadfast belief in our mission and an unwavering commitment to achieving it.Join Our TeamOur world-class team is the cornerstone of our success, tasked with redefining business operations.Team members have:Founded and exited successful startupsHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe are proud to be backed by top-tier investors, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft exceptional experiences.Every detail matters; we ensure that each interaction is optimized for the seller’s success and satisfaction. We strive for perfection and continuously seek ways to delight our users.Obsession: Commit without reservation.We are dedicated to our craft, proactively addressing customer needs and constantly improving our skills and products.Action: Deliver results.Execution is key; we prioritize thoughtful, rapid decision-making and immediate delivery, fostering a culture of trust.

Merge stands at the forefront of technology, providing innovative agentic tools and seamless customer-facing integrations for leading frontier LLMs, Fortune 500 companies, and B2B SaaS enterprises. Our platform features two flagship products: Merge Unified, which enables businesses to effortlessly integrate hundreds of applications through a single API, and Merge Agent Handler, which equips AI agents with secure access to a multitude of third-party tools. Renowned for its enterprise-grade capabilities, Merge oversees the entire integration lifecycle—from authentication and security to monitoring and maintenance. Countless organizations rely on Merge to enhance product development, streamline sales efforts, reduce customer attrition, and conserve engineering resources, allowing them to concentrate on their core offerings. Who are we looking for?We are seeking a proactive Solutions Engineer who will take charge of all technical interactions with prospects during their evaluation and deployment of Merge’s solutions. This role involves creating proofs of concept, providing technical demonstrations, and collaborating with engineering and platform teams to prioritize feature enhancements and resolve issues. As a Solutions Engineer, you will engage in high-value projects that command significant visibility both internally and externally.What you will do:Serve as the primary technical point of contact for prospects as they evaluate and implement Merge through proofs of concept and technical workshops.Develop and nurture relationships to ensure an exceptional developer experience.Collaborate with engineering and platform teams to identify product improvement opportunities based on insights gathered from prospects.Lay the groundwork for the rapid expansion of a successful solutions engineering team!