Data Engineer - Knowledge Graphs at Mithrl | San Francisco

ABOUT MITHRLAt Mithrl, we envision a future where groundbreaking medicines are delivered to patients within months rather than years, and scientific discoveries unfold at an extraordinary pace.We are pioneering the first commercially available AI Co-Scientist, a revolutionary discovery engine that converts chaotic biological data into actionable insights in mere minutes. Scientists can pose questions in natural language, and Mithrl provides comprehensive analyses, identifies novel targets, formulates hypotheses, and generates patent-ready reports.Our remarkable growth:Achieved 12X revenue growth year-over-yearTrusted by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to improved patient outcomes.ROLE OVERVIEWWe are seeking a Data Engineer specializing in Knowledge Graphs to develop the foundational infrastructure for Mithrl’s biological knowledge layer. You will collaborate closely with the Data Scientist focused on Knowledge Graphs to convert curated knowledge sources into scalable, dependable, and production-ready systems that support our entire platform.Your responsibilities will include constructing ETL pipelines for extensive biological datasets, designing schemas and storage models for graph-structured data, and developing APIs that enable ML engineers and application teams to efficiently query and utilize the knowledge graph. Additionally, you will be responsible for ensuring the reliability, performance, and versioning of the knowledge graph infrastructure across releases.This position serves as a vital link between biological knowledge ingestion and the high-performance engineering systems that apply it. If you are passionate about data modeling, schema design, graph storage, ETL processes, and scalable infrastructures, this role offers a unique opportunity to significantly influence the intelligence layer at Mithrl.KEY RESPONSIBILITIESDevelop and maintain ETL pipelines for large-scale public biological datasets and curated knowledge sourcesDesign, implement, and refine schemas and storage models for graph-structured biological dataCreate effective APIs and query interfaces that enable internal teams and AI systems to access nodes, relationships, pathways, annotations, and perform graph analyticsCollaborate with Data Scientists to operationalize curated relationships, harmonized variable IDs, metadata standards, and ontologies.

ABOUT MITHRLAt Mithrl, we envision a future where innovative medicines are delivered to patients in mere months, not years, and where scientific discoveries unfold at the speed of thought.Mithrl is pioneering the world’s first commercially available AI Co-Scientist, a groundbreaking discovery engine that converts complex biological data into actionable insights within minutes. Scientists interact using natural language, and Mithrl provides real analysis, innovative targets, hypotheses, and patent-ready reports.Our impressive track record includes:12X year-over-year revenue growthEndorsed by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to patient outcomes.ABOUT THE ROLEWe are seeking a Data Scientist specializing in Knowledge Graphs to develop and enhance the biological knowledge layer that supports the Mithrl AI Co-Scientist. Your primary focus will be to aggregate and harmonize the most critical biological data sources globally, curating the relationships that enable our system to reason across various pathways, targets, diseases, compounds, and multimodal datasets.You will be responsible for gathering data from public consortia and well-maintained peer-reviewed sources to create a coherent, versioned knowledge graph. This includes identifying new node types, defining relationship schemas, harmonizing variable IDs, and ensuring metadata consistency across all integrated sources. Additionally, you will build automated curation pipelines that enrich and refine the knowledge graph through both data-driven approaches and domain knowledge.Beyond data ingestion and curation, you will develop tools and frameworks that empower users to interact with the knowledge graph and create their custom graphs based on the insights generated within Mithrl. Your contributions will lay the groundwork for pathway reasoning, target scoring, evidence aggregation, and multimodal interpretation within the AI Co-Scientist.WHAT YOU WILL DOAggregate, harmonize, and version high-value public biological datasets such as CellxGene, Gemma, ARCHS4, ENCODE, GTEx, TCGA, etc.Ingest well-maintained peer-reviewed knowledge bases such as OpenTargets, HPA, and similar resources.Create automated pipelines to curate and broaden relationships within the knowledge graph.Define and evolve relationship schemas, ensuring accuracy and consistency throughout.

About MithrlAt Mithrl, we envision a future where groundbreaking medicines reach patients within months, not years, and where scientific advancements occur at the speed of thought.We are proud to be pioneering the world’s first commercially available AI Co-Scientist, an innovative discovery engine that swiftly converts complex biological data into actionable insights. With Mithrl, scientists can pose questions in natural language and receive comprehensive analyses, innovative targets, hypotheses, and patent-ready reports in mere minutes.Our growth trajectory is impressive:12X year-over-year revenue growthTrusted by top biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to improved patient outcomes.About the RoleWe are seeking dynamic Forward Deployed Engineers who will collaborate closely with our clients to successfully deploy, integrate, and operationalize the Mithrl platform within their private cloud environments. As an FDE, you will be positioned at the crossroads of engineering, customer success, and solutions architecture. Your role involves hands-on collaboration with customer IT, security, data, and R&D teams to establish secure cloud environments, configure integrations, troubleshoot technical issues, and ensure that Mithrl seamlessly integrates into their discovery workflow.This position requires a solid foundation in software engineering, a strong familiarity with cloud infrastructure, and exceptional problem-solving capabilities. You will work intimately with customer teams to design deployment architectures, automate provisioning processes, validate platform functionality, and ensure that scientific teams can leverage Mithrl effortlessly.If you thrive on tackling challenging and innovative problems in real-world customer settings, enjoy working across cloud infrastructure and product engineering, and want to be involved in the customer journey from the outset, this role is the perfect fit for you.

ABOUT MITHRLWe envision a future where new medicines are accessible to patients within months rather than years, and where scientific innovations occur at lightning speed.Mithrl is pioneering the first commercially available AI Co-Scientist, a revolutionary discovery engine that transforms complex biological data into actionable insights in mere minutes. By utilizing natural language queries, scientists can receive real analysis, innovative targets, hypotheses, and patent-ready reports instantly.Our impressive growth trajectory:12X year-over-year revenue expansionTrusted by top-tier biotechs and major pharmaceutical companies across three continentsFacilitating tangible breakthroughs from target discovery to real patient outcomes.ABOUT THE ROLEWe are seeking a Senior Full Stack Engineer to architect, scale, and enhance the core Mithrl product. This pivotal role demands a product-centric mindset, granting you substantial ownership across frontend, backend, and system architecture. You will collaborate with product, design, machine learning, and scientific teams to translate intricate scientific workflows into user-friendly, high-performance software utilized by leading researchers daily.As a senior engineer, your responsibilities will extend beyond just execution; you will also shape technical direction, architectural choices, and establish engineering standards. You will oversee features from initial concept through to production, iteration, and scaling. This position requires robust full-stack engineering principles, a passion for shipping products, and the ability to thrive in dynamic, fast-paced environments.If you have a passion for creating impactful products for sophisticated users, delving deep into system design and user experience, and taking ownership of essential components in a rapidly expanding platform, this opportunity is perfect for you.

About MithrlAt Mithrl, we are revolutionizing the pace of scientific discovery. Our vision is to enable novel drugs and therapies to reach patients in mere months rather than years.We have developed the world’s first commercially available AI Co-Scientist, a groundbreaking discovery engine that swiftly converts complex biological data into actionable insights in just minutes. Scientists can pose questions in natural language and receive thorough analyses, innovative targets, and patent-ready reports—all without needing coding skills and eliminating bioinformatics bottlenecks.Our impressive traction includes:12X year-over-year revenue growthEndorsed by leading biotech firms and major pharmaceutical companies across three continentsFacilitating significant breakthroughs from target discovery to patient outcomesWhy This Role MattersAs a Business Development Representative (BDR), you will play a vital role in our rapidly expanding pipeline and deal velocity within the biotech sector. This is not just theoretical; we are witnessing real momentum with top-tier biopharma companies.Your mission will be to initiate discussions with prominent scientists and decision-makers, uncover essential pain points, and pave the way for breakthroughs that can lead to life-saving therapies.Join us at this exciting stage, grow rapidly, and make a substantial impact on the landscape of scientific discovery.What You'll DoCore Responsibilities:Identify and engage high-potential biotech and pharma companies, including Series A+ biotechs, mid-cap pharma, and academic research institutions.Design and execute compelling outbound campaigns aimed at scientists, bioinformaticians, and R&D leaders.Qualify incoming leads and arrange meetings for our sales and science teams.Collaborate with founders and commercial leadership to optimize messaging and drive market expansion.Growth & Learning:Gain expertise in genomics, RNA-seq analysis, and the application of AI in drug discovery.Document customer insights to influence product development and marketing strategies.Contribute to building and scaling our go-to-market engine from the ground up.

Business Development Representative - AI Co-Scientist PlatformIdeal Opportunity for Recent Graduates with a Background in Biology or Related SciencesAbout MithrlAt Mithrl, we’re on a mission to revolutionize the pace of scientific innovation. Our goal is to ensure that groundbreaking drugs and therapies reach patients in mere months instead of years.We have developed the world’s first commercially available AI Co-Scientist, an innovative discovery engine that converts complex biological data into actionable insights within minutes. Scientists can pose questions in natural language and receive real analyses, groundbreaking targets, and ready-to-file patent reports—no coding or bioinformatics expertise required.Our achievements speak volumes:12X year-over-year revenue growthTrusted by top biotech firms and major pharmaceutical companies across three continentsContributing to significant breakthroughs from target discovery to patient outcomesWhy This Position is Ideal for New Graduates in ScienceThis is an excellent opportunity to connect cutting-edge science with tangible real-world applications. You will leverage your scientific education to engage with leading researchers while developing crucial business skills to propel your career.As a member of our Business Development team, you will experience rapid pipeline growth and deal velocity in the biotech sector. This role provides unparalleled exposure to the operational dynamics of biotech companies, from burgeoning startups to established Big Pharma R&D teams.You will initiate dialogues with esteemed scientists, identifying crucial challenges in drug discovery and paving the way for breakthroughs that could lead to life-saving therapies.Your Responsibilities Include:Researching and pinpointing high-potential biotech and pharmaceutical companies (Series A+ biotechs, mid-cap pharma, academic research institutions)Creating engaging outbound campaigns targeting scientists, bioinformaticians, and R&D leaders—utilizing your scientific knowledge to communicate effectivelyQualifying inbound leads and organizing meetings for our sales and scientific teamsCollaborating with founders and commercial leadership to refine messaging and expand market reach

Join Our Team as an Account Executive!At Mithrl, we are committed to revolutionizing the way novel drugs and therapies are delivered to patients, ensuring that breakthroughs happen in months, not years.Mithrl is pioneering the world's first commercially available AI Co-Scientist, a groundbreaking discovery engine that transforms complex biological data into actionable insights within minutes. Our platform allows scientists to pose inquiries in natural language, receiving comprehensive analyses, innovative targets, and patent-ready reports in return.Our impressive milestones include:Achieving 12X year-over-year revenue growth.Building trust with leading biotech firms and major pharmaceutical companies across three continents.Facilitating tangible breakthroughs from target discovery to patient outcomes.Why Your Role is CrucialWe have developed a product that scientists truly appreciate. Now, it's time to amplify its recognition across the industry.As an Account Executive, you will oversee the complete customer journey, from product demonstrations to closing deals. You will directly engage with biotech and pharmaceutical prospects, illustrating how our innovative solutions address their scientific and operational challenges. Your primary focus will be on converting qualified opportunities into successful partnerships, rather than on lead generation or cold outreach.Collaboration will be key as you partner with founders, product, and GTM teams to drive revenue growth, enhance visibility, and support every aspect of the sales process from demonstration to deal closure. This high-responsibility role offers the opportunity to influence our brand, expand our team, and potentially transition into a Head of Sales position as the company scales.Your ResponsibilitiesTake charge of qualified opportunities provided by SDRs, marketing, or inbound channels.Conduct personalized product demonstrations that emphasize the value for life sciences R&D and decision-makers.Manage the entire evaluation process, including discovery, technical validation, procurement, and legal discussions.Work closely with our scientific and customer success teams to ensure prospects recognize the full scientific and business potential of our platform.Cultivate relationships with technical and business stakeholders, from bench scientists to C-suite executives.Drive opportunities to close, consistently meeting or exceeding quarterly and annual revenue targets.

ABOUT MITHRLWe envision a world where innovative drugs and therapies reach patients in months rather than years, expediting breakthroughs that save lives.Mithrl is at the forefront of creating the world's first commercially available AI Co-Scientist—an advanced discovery engine that enables life science teams to transform chaotic biological data into insightful discoveries in mere minutes. Scientists can pose questions in natural language, and Mithrl responds with genuine analysis, innovative targets, and patent-ready reports.Our success is evident:12X year-over-year revenue growthTrusted by leading biotech firms and major pharmaceutical companies across three continentsDriving significant breakthroughs from target discovery to patient outcomes.WHAT YOU WILL DOTake the lead in creating and managing an AI-driven data ingestion and normalization pipeline to assimilate data from diverse sources—ranging from raw Excel/CSV uploads to lab and instrument exports, as well as processed outputs from internal systems.Develop comprehensive schema mapping, coercion, and conversion logic, including units normalization, metadata standardization, variable-name harmonization, addressing vendor-instrument peculiarities, plate-reader formats, reference-genome or annotation updates, and batch-effect corrections.Utilize LLM-driven and classical data-engineering tools to structure semi-structured or messy tabular data, focusing on metadata extraction, inferring column roles/types, cleaning free-text headers, resolving inconsistencies, and preparing final clean datasets.Ensure that all transformations that must occur only once—such as normalization, coercion, and batch-correction—are executed during ingestion, ensuring that downstream analytics and the AI Co-Scientist operate with clean, canonical data.Establish validation, verification, and quality control measures to detect ambiguous, inconsistent, or corrupted data before it enters the platform.Collaborate with product teams, data science/bioinformatics colleagues, and infrastructure engineers to define and uphold data standards, ensuring that pipeline outputs integrate smoothly into downstream analysis and storage systems.WHAT YOU BRINGMust-have:5+ years of experience in data engineering or data wrangling with real-world tabular or semi-structured data.Strong proficiency in Python,

At Fastly, we empower individuals to forge deeper connections with the things they cherish. Our cutting-edge edge cloud platform enables clients to swiftly, securely, and reliably craft exceptional digital experiences by processing, serving, and safeguarding their applications as close to their end-users as possible — right at the edge of the Internet. This platform is tailored to leverage the modern internet, is highly programmable, and supports agile software development methodologies. Our clientele includes renowned global brands, such as GitHub, Yelp, Paramount, and JetBlue.Join us in our mission to create a more trustworthy Internet.Posting Open Date: March 13th, 2026Anticipated Posting Close Date*: May 30th, 2026*Job posting may close early due to the volume of applicants.Data EngineerAs part of Fastly's Analytics team, you will empower leaders across the organization with actionable data that drives essential business decisions. We are focused on expanding and enhancing our premier internal data platform. In your role as a Data Engineer, you will play a pivotal part in transforming our data infrastructure, optimizing data pipelines on Google Cloud Platform (GCP), scaling the ingestion of complex data sources, and adhering to best practices for performance and reliability. This is your chance to contribute to significant projects within a dynamic, collaborative, and innovative workspace, supporting data scientists, analysts, and business analysts across our organization.

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.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing understanding in healthcare. Our innovative AI-driven platform is designed specifically for medical conversations, streamlining clinical documentation and allowing healthcare professionals to concentrate on what truly matters—their patients.Our enterprise-grade technology converts patient-clinician discussions into structured clinical notes in real-time, with robust EMR integrations. Leveraging our unique Linked Evidence and auditable AI, we provide the only solution that aligns AI-generated summaries with factual data, enabling providers to trust and verify outputs efficiently. As trailblazers in generative AI for healthcare, we are establishing industry benchmarks for the ethical integration of AI across health systems.We are a dynamic team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers committed to empowering individuals and making healthcare more intelligible. Our offices are located in San Francisco's Mission District, New York's SoHo neighborhood, and Pittsburgh's East Liberty.The RoleJoin our rapidly expanding US-based Data Engineering team as a Data Engineer and play a pivotal role in revolutionizing the medical field with our generative AI products. In this essential position, you will design and optimize large-scale data infrastructure to inform business strategies and drive machine learning research.What You’ll DoDevelop and sustain scalable data services, pipelines, and storage solutions for the ingestion of unstructured application data for machine learning training and evaluation.Create and oversee OLAP databases, ELTs, and general data tools to support analytics, business decision-making, and product features.Collaborate closely with frontend and backend engineers, product managers, and analysts.Enhance data infrastructure to improve system throughput, latency, and reliability.Identify and resolve issues detected through data operation monitors, tools, and reports.Design data integration solutions and establish a data quality framework.What You’ll Bring5+ years of experience in Data Engineering or Backend Engineering focused on data systems.Proficiency in at least one general-purpose programming language (e.g., Python, Java, Scala) and SQL (any variant).Experience with at least one modern cloud service provider (GCP, AWS, Azure, etc.).

Join baseten as a Data Engineer and be at the forefront of data-driven innovation. In this role, you will design and implement robust data pipelines, ensuring the efficient processing and analysis of data to empower our products and decision-making processes. Collaborate with cross-functional teams to understand their data needs, while striving for optimization and scalability in data architectures.

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.

Join mithrl as a Design Technologist, where you will play a crucial role in merging design and technology to create innovative solutions. You will work closely with cross-functional teams to bring ideas to life through prototyping, user testing, and iterative design processes.

Join the Mercor TeamAt Mercor, we are pioneers at the crossroads of labor markets and artificial intelligence research. Collaborating with top AI labs and enterprises, we provide the crucial human intelligence that drives AI development.Our extensive talent network empowers more than 30,000 experts who collectively generate over $2 million a day, training cutting-edge AI models by sharing invaluable knowledge and context that goes beyond mere code. We are dedicated to establishing a new work paradigm where expertise fuels AI progress, and we are looking for driven individuals to join our ambitious and fast-paced team.As a profitable Series C company valued at $10 billion, Mercor emphasizes teamwork in our new San Francisco headquarters, where we work in-person five days a week.Your Role as a Data EngineerWe are seeking a passionate Data Engineer who can bring a full-stack perspective to our data functions. In this role, you will create and maintain robust data pipelines that support our Data Science, Engineering, and Product teams, ensuring seamless data flow across the Mercor organization.Your primary focus will be on data reliability, availability, and timeliness, working closely with our Data Science team and various partner functions to enhance our data capabilities.Key ResponsibilitiesDeveloping robust data pipelines to ingest, transform, and consolidate data from various sources, such as MongoDB, Airtable, and production databases.Designing dbt models and transformations to standardize and unify disparate data tables into clean, production-ready schemas.Implementing scalable and fault-tolerant data workflows using tools like Fivetran, dbt, SQL, and Python.Collaborating with engineers, data scientists, and business stakeholders to ensure data accuracy, availability, and usability.Owning data quality and reliability from ingestion to consumption across the data stack.Continuously monitoring and enhancing pipeline performance and scalability.QualificationsProven experience in data engineering, with strong proficiency in SQL, Python, and modern data stack tools such as Fivetran, dbt, Snowflake, or similar.Experience in building and maintaining large-scale data pipelines and workflows.Strong problem-solving skills and a collaborative mindset, with a focus on effective communication.

About UsTwitch stands as the premier live streaming platform globally, fostering vibrant communities centered around gaming, entertainment, music, sports, cooking, and beyond. Each day, countless communities unite here for diverse experiences.At Twitch, community is at our core. You'll collaborate with enthusiastic colleagues who are driven to solve challenges together. Join us in our mission to empower live communities. Explore our journey on LinkedIn, X, and discover our innovative projects on our Blog. Don't forget to check out our Interviewing Guide to prepare for your interview with us.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Join Our Mission to Empower Communities! At GoFundMe, we are the world's leading platform for community-driven fundraising, dedicated to facilitating connections and support among individuals and organizations. Since our inception in 2010, our community has successfully raised over $40 billion, making a significant impact in the lives of many. We are currently on the lookout for a Staff Software Engineer with substantial experience in graph theory, graph systems, and large-scale social graph architecture. In this pivotal role, you will act as a technical leader, spearheading the architectural design, implementation, and scaling of our social graph platform. This platform is essential for enhancing user trust, driving recommendations, and improving user discovery. Your collaboration with Data Science, ML, Product, and Infrastructure teams will be crucial as you design graph representations, develop ingestion and transformation pipelines, and deploy graph-based models at an extensive scale. You'll set the technical direction for leveraging connectivity, influence, and reputation signals to enhance safety, personalization, and engagement across our ecosystem. This is a hybrid position requiring in-office attendance three days per week, so candidates must be located in or willing to relocate to San Francisco, CA.

Join promise as a Data Engineer and play a pivotal role in our mission to harness data for impactful insights. You will design, construct, and maintain robust data pipelines and architecture, ensuring our data systems are efficient and scalable. Collaborate closely with data scientists and business stakeholders to transform raw data into actionable intelligence.

About RoxRox is pioneering an AI-native revenue operating system designed specifically for modern go-to-market teams. Supported by notable investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform fragmented CRM workflows into intelligent, autonomous systems. Rox seamlessly integrates data across the GTM stack, deploys AI agents for tangible tasks, and equips revenue leaders with a clear, unified view of the key drivers of success.As a nimble Series A startup, we are challenging one of the most established categories in software—achieving victory through a blend of deep technical expertise and an unwavering focus on utility.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not merely a support function; it plays a crucial role in shaping products and defining deals. This team operates at the intersection of Sales, Product, and Engineering, tasked with translating Rox’s technical capabilities into compelling customer value.You will join the foundational team in San Francisco, reporting directly to our Solutions Engineering leader. Working alongside three current Solutions Engineers, you will help establish how this function scales in SF. The practices you develop—such as how we demo, scope, integrate, and sell—will serve as the blueprint for the future of the company.About the RoleThis is a founding-level Solutions Engineer role for individuals who are technical, customer-focused, and passionate about redefining the sales engineering landscape.Your responsibilities will involve engaging directly with live deals: conducting technical discovery, crafting integrations, and leading demonstrations that clearly illustrate how Rox fits within customers’ data and GTM environments. This role transcends mere execution; you will identify inefficiencies in the sales process and implement improvements—enhancing demo experiences, refining technical narratives, and setting higher standards for those who follow.If you thrive on being the go-to person who can delve deeply into technical aspects while simplifying complexity for others, this role is tailored for you.What You’ll DoQuickly become a product expert, gaining deep insights into Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to deliver impactful technical demos and support deals from initial contact to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and contemporary GTM tools.Facilitate technical discovery discussions that uncover genuine customer challenges rather than just stated requirements.Translate complex technical information into easily digestible insights for stakeholders.