Senior Applied Scientist in DSP/ML at Gridware | San Francisco

About UsAt Koah Labs, we are pioneering the advertising network that will drive the future of AI-native products. Our mission is to empower publishers in monetization while enabling advertisers to effectively reach their target audiences, all without sacrificing speed, user experience, or privacy.We are a passionate and close-knit team based in San Francisco, boasting a wealth of experience from industry leaders such as X, Apple, Meta, and various early-stage startups. With backing from top investors, we are rapidly expanding and gaining real traction on both the publisher and advertiser fronts.Joining Koah means becoming part of something transformative from the ground up. You will have the opportunity to ship code that influences not just our company but the broader ecosystem we are building. We prioritize speed, trust, and a deep commitment to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Technologies: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android, iOSSample ProjectsDeveloping efficient algorithms for real-time bidding systems, leveraging current pricing literature.Creating and deploying regression models that predict end conversions based on demographic, audience, and semantic data.Utilizing privacy-preserving clustering techniques to categorize conversational data, enhancing advertiser outreach.Conducting comprehensive data analysis to uncover insights that can enhance our primary ad matching system, balancing both publisher and advertiser goals.

About UsAt Koah Labs, we are revolutionizing the advertising landscape by creating an ad network designed for the next generation of AI-driven products. Our mission is to empower publishers to optimize monetization while enabling advertisers to connect with their target audience efficiently and with respect for user privacy and experience.Based in the vibrant city of San Francisco, our cohesive team consists of experts with backgrounds from prestigious companies like X, Apple, and Meta, as well as from successful startups. We have secured funding from top-tier investors and are experiencing rapid growth, gaining significant traction on both publisher and advertiser fronts.Joining Koah Labs means becoming part of a foundational team where your contributions will directly influence our product and the broader ecosystem we are building. We value speed, high trust, and a commitment to excellence in our work.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Management: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDK Development: iOS, Android, Web, Flutter, React NativeYour RoleCollaborate within the product engineering team to leverage data and causal reasoning for product decision-making.Design, implement, and evaluate experiments, analyzing outcomes for actionable insights.Elevate engineering practices by promoting data-driven decision-making and a thorough understanding of key business metrics.Employ rigorous statistical analysis and modeling to transform extensive marketplace data into impactful tools and insights that guide product strategy.Are You the Right Fit?You possess an advanced degree in Physics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.You thrive on tackling complex challenges, formulating testable hypotheses, and conducting research that drives meaningful business outcomes.You are committed to continuous learning and innovation, with a desire to challenge conventional thinking.You have strong capabilities in mathematical and statistical modeling.You excel in communicating your findings to both technical and non-technical stakeholders.

About KoahKoah is revolutionizing the digital advertising landscape as the Adsense for the generative AI internet. Our innovative platform enables seamless native advertising across any generative surface within digital products, including AI search engines and traditional web formats. By dynamically adapting layout, density, and tone, our ads ensure they integrate naturally into their environment. We harness the power of AI to enhance advertising experiences, delivering the right format with the right content in real time.Supported by Theory Ventures and actively engaging millions of users through AI applications, we recently secured our Series A funding.As the Chief of Staff, you will collaborate closely with the founders to tackle the most pressing challenges facing the business. Your role may involve diving into sales, shaping product strategy, developing internal tools, or optimizing operational workflows.This position is execution-focused, ideal for candidates who thrive on taking action and making things happen.Key ResponsibilitiesManage and finalize a pipeline of direct advertiser and agency partnerships.Develop an innovative ad sales strategy for a new format within a new category, focusing on customer retention and upselling.Establish our go-to-market strategy, including outbound efforts, pitch materials, pricing structures, and legal considerations.Leverage existing connections while nurturing new relationships with senior decision-makers at brands and agencies.Expand the ad sales team by recruiting and onboarding top-tier talent.Represent Koah at industry events and in critical market engagements.QualificationsHighly organized; you follow through on commitments consistently.A builder at heart, skilled in creating tools for personal and team use using platforms like Claude or Replit.Exceptional interpersonal skills; you can command respect among peers and senior leaders alike, emphasizing low ego and high curiosity.Aspirations of becoming a founder one day, seeking mentorship from a dynamic team comprising experienced engineers, sales professionals, former founders, and industry-leading product experts.Importance of This RoleYour efforts will focus on high-leverage initiatives, and you'll evolve into a pivotal voice in strategic discussions, contributing significantly to the direction of the company.

About Koah LabsAt Koah Labs, we are revolutionizing the advertising landscape with our innovative AI-driven ad formats that seamlessly integrate across various platforms. Whether in a chat application, on a website, or within an email, our ads blend effortlessly into the user experience, enhancing engagement while providing value to advertisers and publishers alike.Our AI technology empowers advertisers to create effective ads in real-time, optimizing for the best formats and content tailored to specific surfaces. Backed by Theory Ventures, we are already making a significant impact in AI applications that serve millions of users, following our successful Series A funding.About the RoleWe are seeking a talented Product Designer who will be responsible for enhancing both advertiser and publisher experiences within our ecosystem. This role will focus on developing the creative tools, dashboards, and integration processes that empower users on both sides of our marketplace.On the advertiser front, you'll design solutions that enable campaign agents to efficiently handle creative generation, format selection, and goal optimization, allowing advertisers to focus on their strategic objectives.On the publisher side, you will craft the SDK integration experience, guiding publishers on how to set up their surfaces, configure preferences, and derive value from Koah's offerings.Additionally, you will play a pivotal role in shaping our ad format system, ensuring that formats are adaptable and render effectively across various surfaces.What You'll DoDesign the end-to-end advertiser experience, including campaign creation, AI-assisted creative tools, and reporting functionalities.Facilitate collaboration between advertisers and campaign agents to scale ad creative production and deployment.Craft the publisher integration experience, focusing on SDK onboarding, surface configuration, and performance metrics.Contribute to our ad format library, ensuring formats adapt proficiently to various rendering contexts.Connect the user journey across advertiser tools, publisher surfaces, and end-user ad experiences.You Might Be a Fit IfYou have a system-oriented mindset and can balance user needs with a long-term product vision.You possess experience designing for multi-sided products such as marketplaces, developer tools, or ad platforms.You are enthusiastic about creating AI-enhanced workflows, beyond traditional design paradigms.

Role overview Coframe is looking for Applied Scientists based in the San Francisco Bay Area. This position focuses on transforming platform data into actionable insights and results. The work brings together reinforcement learning, experimentation, and systems for personalization or ranking. What you will do Build models and strategies that support customer growth with limited manual intervention Use reinforcement learning and experimentation methods to address practical challenges Convert raw data into recommendations that guide strategic choices Location This role is based in the San Francisco Bay Area.

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

Join Multiply Labs as a Scientist IIAt Multiply Labs, an innovative startup located in the heart of San Francisco, California, we are on a mission to revolutionize the accessibility of advanced life-saving therapies. Backed by renowned investors such as Casdin Capital, Lux Capital, and Y Combinator, our goal is to develop the most sophisticated robotic systems in the world to automate and enhance the manufacturing of cell therapies.Our state-of-the-art robotic solutions empower biopharma companies to produce cell therapies at scale, minimizing regulatory hurdles and costs that traditionally exceed $1 million per patient. By leveraging automation, we aim to make these groundbreaking treatments more affordable and accessible to those in need.To witness our technology in action, visit us at www.multiplylabs.com and connect with us on LinkedIn.Position OverviewWe are looking for a passionate Scientist II to play a vital role in advancing and validating our automated processes. This position will primarily entail hands-on laboratory work, where you will enhance the efficiency, accuracy, and reliability of our robotic systems, gaining an in-depth understanding of our innovative technology. Additionally, you will serve as a key representative of Multiply Labs during client system deployments, collaborating directly with customers to ensure the seamless integration and optimal performance of our robotic solutions, thus contributing significantly to their success.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

Join Pylon Labs in shaping the future of B2B Support!Pylon is trusted by leading customer support and success teams from innovative companies such as Hightouch, Merge, and Sardine. Our all-in-one support platform harnesses the power of conversational data, enhanced with intelligence, enabling our clients to streamline their operations in real-time.Recently backed by YCombinator, General Catalyst, Bain, and a16z, we have secured our Series B funding and currently empower over 1000 B2B companies in their customer support and success initiatives.This position is strictly on-site in our vibrant San Francisco office; we do not offer remote or hybrid work options.

Join unto-labs as a Creative Lead, where you will spearhead innovative projects, guiding our creative team to produce exceptional digital solutions. Your vision will shape our brand identity and enhance user experiences. If you are passionate about creativity and have a strong portfolio, we want to hear from you!

Join Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist and be at the forefront of innovative research in the virtual cell space. Our team is dedicated to advancing the field of machine learning and its applications in biological research.

Join our dynamic team at unto-labs as a Product Engineer where you will be at the forefront of innovation. In this role, you will design, develop, and enhance our cutting-edge products while collaborating with cross-functional teams. Your contributions will directly impact the product lifecycle, from conceptualization to deployment.

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.

Join Our Team at Pylon Labs!At Pylon, we are on a mission to redefine the B2B post-sales landscape. Our innovative all-in-one platform leverages conversational data and advanced intelligence to empower our clients to manage their operations seamlessly and in real-time.Pylon is proudly backed by top-tier investors including a16z, BCV, General Catalyst, and Y Combinator.Today, over 1000 companies, including notable names like Linear, Cognition (the team behind Devin), Modal Labs, and Incident.io, rely on Pylon for their support and customer success workflows. We are also honored to be featured on the Enterprise Tech 30 List.Our product encompasses a vast problem space, presenting numerous opportunities for impactful contributions. We are eager to bring on board several exceptionally skilled software engineers across various tech stacks.Are You the Right Fit?You prefer coding over meetings and are committed to delivering high-quality work.You possess strong engineering fundamentals, write efficient code, and understand your strengths and areas for growth.You thrive on autonomy and take ownership of your projects.You are located in San Francisco or are willing to relocate, and you value in-person collaboration to foster a vibrant company culture.Familiarity with React, Golang, GraphQL, and AWS is a plus.You will be joining a highly skilled technical team with senior engineers from respected organizations such as Samsara, Affinity, and Airbnb.Perks of Joining Pylon Comprehensive medical, dental, and vision coverage for employees. 401(k) retirement plan with company match. Commuter benefits to ease your travel. Generous parental leave. 14 company holidays and unlimited paid time off. Annual offsite retreats. Free lunch, dinner, and snacks at the office to fuel your day. Fitness stipend to support your well-being.About Pylon LabsFunding: Series B led by a16z and BCV, with a total of $51M raised.Founders: [Details about the founders].

Join Pylon Labs and help shape the future of B2B Post Sales. Our innovative platform empowers top support and success teams at leading companies such as Hightouch, Merge, and Sardine to seamlessly manage customer support across multiple channels including Slack Connect, Microsoft Teams, Email, In-App Chat, and Slack Community—all from a single interface.At Pylon, we are creating a comprehensive system of record with a wide-ranging product that presents intricate design challenges. We recognize that exceptional design is crucial and serves as a key differentiator in our offerings compared to traditional players. This role is not merely about surface-level design; you will actively engage with customer feedback and collaborate with engineers to deliver significant features that rival entire product lines in other organizations. Being part of a startup environment, you will have the unique chance to establish the design vision and develop the design system for Pylon.Your Responsibilities:Deliver designs to the engineering team within your first week.Investigate and comprehend customer issues and feedback.Work in tandem with product and engineering teams throughout the project lifecycle (we prioritize collaboration over traditional waterfall methods).Collaborate closely with co-founders and peers to navigate both problem identification and solution development (as we do not employ product managers).Effectively communicate differing viewpoints and facilitate constructive decision-making.Conceptualize comprehensive user flows for new features.Create high-fidelity mockups and develop the UI/UX.Contribute to the design system development alongside Wendy, Ben, and Oliver, along with our engineering partners.Use analytics to validate design decisions.Qualifications:Located in, or willing to relocate to, San Francisco and enthusiastic about in-person collaboration.Highly organized, diligent, and capable of working efficiently.Passionate about experimenting with the product and suggesting enhancements.Compensation: The estimated salary for this position is approximately $200K USD, with adjustments based on experience and skills.

Join Pylon Labs and Shape the Future of B2B Post Sales!At Pylon, we are on a mission to revolutionize B2B post-sales support with our all-in-one platform that leverages conversational data and advanced intelligence. Our goal is to empower our clients to manage their operations seamlessly in real-time.Backed by leading venture capital firms including a16z, BCV, General Catalyst, and Y Combinator, we proudly serve over 1,000 companies, such as Linear, Cognition (Windsurf), and Modal Labs, who rely on Pylon for their support and customer success workflows. Discover more about us on the Enterprise Tech 30 List.This position is fully in-person at our San Francisco office; we do not provide remote or hybrid work options.Your RoleYou will manage the complete migration process for our clients, which encompasses translating their existing workflows, enabling their teams, and assisting with the transfer of historical data.We believe in utilizing our products ourselves; thus, you will develop strong fluency in our platform. By the end of your first week, you will be fully equipped to guide both yourself and others in using Pylon effectively.As the primary expert on Pylon implementations, you will also gain in-depth knowledge of legacy support systems such as Zendesk and Intercom that we transition customers away from.You will be the first point of contact for customer inquiries related to our product, addressing questions ranging from simple how-tos to intricate edge cases.Handle multiple customer migrations simultaneously, ensuring successful outcomes; currently, we boast zero failed migrations, and we intend to maintain this record.QualificationsMust be located in or willing to relocate to San Francisco and enthusiastic about working on-site.Highly organized, diligent, and swift; you will manage over 20 migrations concurrently.Comfortable engaging with customers via chat and video regularly.A collaborative team player; our Solutions Engineering team is small yet impactful. We thrive on collective efforts, valuing the best ideas regardless of their origin.Detail-oriented with the capacity to learn rapidly; you will need to master various tools quickly.