Artie

About the role We're a small, dynamic team based in San Francisco, and we're looking for a founding engineer to join us. In this in-person role, you'll have the opportunity to wear multiple hats, interact directly with our customers, and play a vital part in shaping the future of our product. This is a challenging and dynamic role where you'll be working at the forefront of distributed systems, infrastructure and data engineering. What you should expect and examples of day-day tasks: Talking to customers (who are technical and have an engineering background) to streamline their workflows and improve the UX of our product Building new features into our product such as column exclusion, encryption, schema change alerts and more Improving our internal tooling and build automation to make it easier to ship features and manage our infrastructure About us Artie is a real-time database replication solution for databases and data warehouses. We do this by leveraging Kafka and change data capture (CDC). We're growing fast - we launched our cloud product a year ago and have surpassed 1M ARR. We're backed by Pathlight Ventures, General Catalyst and other world class investors like Benn Stancil (Mode), Lenny Rachitsky (Lenny's NewsLetter), and others. What we are looking for Strong fundamentals in computer science or related field 4+ years of experience with web development and working at startups Pragmatic and care more about building the right thing vs. being right Comfortable jumping around the stack and wearing different hats Someone that is passionate about building products that are easy to use and extensible Proficiency writing in Go is preferred, but not necessary Happy to work in-person 5 days/week in San Francisco’s Financial District with the rest of the team. Tech stack Frontend: TypeScript (React and Material UI) Backend: Go, PostgreSQL, Redis, Kafka and Elasticsearch Infra: Terraform, Kubernetes, and Helm on GCP and AWS

About Artie Artie is a real-time streaming platform that moves production data across systems in real-time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams. Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI workloads. Artie is built for engineers who care about performance, reliability, and operational simplicity — and we’re growing fast. We’re trusted by teams like ClickUp, Substack, and Alloy, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight Ventures, and the founders of Dropbox and Mode. About the Role We’re looking for a senior, growth-oriented BizOps leader who has seen this movie before: taking a technically strong infra product from founder-led sales and inconsistent inbound to a repeatable, scalable GTM engine. This person is not here to “run experiments for the sake of it.” They are here to pattern match, prioritize ruthlessly, and help us solve the right problems at the right altitude. What you’ll do Define and drive high-impact strategic initiatives across product, GTM, and operations that directly influence how we scale Design and operationalize systems, workflows, and tools that enable teams to move faster, align more easily, and make decisions with confidence Turn insight into action by digging into product usage, customer behavior, and business performance to make recommendations that drive real outcomes Act as connective tissue across teams, ensuring strategy → execution → iteration happens quickly and collaboratively — with a bias toward velocity and excellence What we’re looking for Must-haves 3+ years of experience in operational roles, preferably at a high-growth startup. Demonstrated track record of owning and delivering cross-functional projects with measurable business impact. Structured problem-solver who can break down ambiguous problems, form a point of view, and drive clarity. Curious, able to think in first principles, and quick to learn new skills. Clear and concise communicator; able to synthesize complexity and influence stakeholders across teams. Bias for action - you move quickly, iterate, and ship. Hands-on, low-ego, and willing to roll up sleeves to get things done in a fast-moving environment. Excited to work cross-functionally with engineering, product, and GTM teams. Located in or willing to relocate to the Bay Area - fully in-person, 5 days/week in our SF office. Relocation support available. Nice-to-haves Technical background preferred How you’ll grow Be a Builder: Shape the BizOps foundation of the company as an early member. Be an Owner: Lead high-impact product and business initiatives end-to-end. Go Deep and Broad: Operate across product strategy, data analytics, GTM, and operations. Partner with Founders: Work directly with the CEO and CTO on the problems that matter most. Compensation & Benefits $120K–$210K base salary, depending on experience Competitive equity package Healthcare, 401(k), unlimited PTO Lunch & dinner provided Visa sponsorship available Interview Process 20-minute hiring manager call 45-minute interview Case Study (Take-home assignment) Onsite

About Artie Artie is a fully-managed change data capture (CDC) streaming platform that replicates production databases into data warehouses and lakes - in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams. Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI/ML workloads. We’re trusted by teams like Substack, Alloy, and ClickUp, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight, and the founders of Dropbox and Mode. Artie is built for engineers who care about performance, reliability, and operational simplicity - and we’re growing fast. This role is your chance to shape our GTM from the ground up. About the Role We’re hiring our first Senior Enterprise AEs to help scale Artie’s sales motion. This is not a “run the playbook” role. You’ll refine the playbook - defining what great full-cycle enterprise sales looks like for a deeply technical platform. You’ll partner directly with founders, influence product strategy, and set the bar for future AEs. What you’ll do Run full-cycle enterprise sales Own deals end-to-end: sourcing, qualification, discovery, demos, POCs, procurement, and closing Navigate 6-12 month cycles with engineering, data, security, finance, and legal stakeholders Multi-thread deeply and build strong, technical champions Drive technical discovery & solutioning Understand customer architectures and pain points (SQL Server, Postgres, MySQL, Kafka, Snowflake, VPCs, networking) Map these to Artie’s capabilities with clarity and confidence Whiteboard solutions with staff engineers and data architects Lead rigorous evaluations Build structured POC plans Partner with engineering to define success criteria Drive toward clear, mutual action plans Source your own pipeline There is no SDR team - you source 80%+ of pipeline through outbound, events, founder referrals, and creative prospecting Use your curiosity and rigor to start real technical conversations Sell the vision and business value (not features) Translate deep technical concepts (e.g. log-based CDC, Kafka buffering) into ROI, TCO reduction, and platform reliability Inspire our buyers with how Artie can unlock new opportunities for their company What we’re looking for Enterprise sales mastery: 5+ years of full cycle AE experience in enterprise or upper/mid-market Consistent track record of closing $100-300K+ ACV deals Comfortable navigating 6-12 month cycles and complex procurement Proven experience run full-cycle deals without SDR or SE support Deep technical fluency: Experience selling dev tools, data infra, or cloud platforms to technical buyers Able to confidently explain concepts like log-based CDC, Kafka, schema evolution, or cloud networking basics (VPCs, peering, security reviews) Comfortable whiteboarding with staff-level engineers and technical stakeholders Fluent discussing database, streaming, and cloud architecture concepts with engineering teams Outbound-first mindset: Self-sourced a significant portion of pipeline in previous roles Consistent and persistent prospector who finds creative ways to engage prospects Extreme ownership: Never drop the ball - internally or externally Drives alignment, writes structured follow-ups, and runs mutual action plans Consultative and curious: Asks layered questions, uncovers deep pain, and guides prospects to clarity and value Collaborative and self-aware: Knows when to pull in help - from CTO deep dives to executive alignment with CEO Works closely with teammates to win complex deals together Willing to work in-person, 5 days/week at our SF office (relocation covered) What you’ll get A Seat at the Table: Join as a founding GTM member with real influence on company direction. End-to-End Ownership: Drive the full GTM lifecycle—strategy, execution, and iteration. Tight Product Loop: Colla

About us Artie is a real-time streaming platform that moves production data across systems in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams. Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI workloads. Artie is built for engineers who care about performance, reliability, and operational simplicity — and we’re growing fast.‍ We’re trusted by teams like ClickUp, Substack, and Alloy, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight Ventures, and the founders of Dropbox and Mode. About the Role We are a small team based in San Francisco looking to hire a founding engineer that has a dedicated focus around distributed systems. As a founding engineer, you will have the opportunity to wear multiple hats, directly interact with our customers and play a crucial role in shaping the future of our product.  This is a challenging and dynamic role and you will be working at the forefront of data engineering, distributed systems and infrastructure. What you should expect & examples of day-to-day tasks: Building column encryption, launching our analytics portal and schema change alerts. Building tooling to streamline and automate infrastructure workloads. Introducing pipeline efficiencies by making tradeoffs between virtual memory and disk. Building native change data capture (CDC) connectors to data sources that we do not yet support. What we are looking for Strong fundamentals in computer science Pragmatic and care more about building the right thing vs. being right Comfortable jumping around the stack and wearing different hats Someone that wants to take an active role in defining the next gen data platform that utilizes stream processing and CDC to drive data latency to zero, while also focusing on ease-of-use and extensibility Past experience working on scaling async systems and exposure to topics like gRPC, Kafka, Kubernetes, Helm is preferred but not required. Proficiency writing in Go is preferred, but not necessary. Happy to work in-person 5 days/week in San Francisco’s Financial District with the rest of the team. Tech stack Frontend: TypeScript (React and Material UI) Backend: Go, Postgres, Redis, Kafka and Elasticsearch Infra: Terraform, Kubernetes, and Helm on GCP and AWS

About Artie Artie is a real-time streaming platform that moves production data across systems in real time, with zero maintenance. We make high-volume data replication simple, reliable, and scalable for engineering teams. Our platform powers mission-critical use cases including fraud and risk monitoring, inventory visibility, customer-facing analytics, and AI workloads. Artie is built for engineers who care about performance, reliability, and operational simplicity — and we’re growing fast.‍ We’re trusted by teams like ClickUp, Substack, and Alloy, and backed by top-tier investors including Y Combinator, General Catalyst, Pathlight Ventures, and the founders of Dropbox and Mode. ABOUT THE ROLE We're hiring our first Solutions Engineer to help scale Artie's pre-sales and post-sales enterprise motion. This is not a demo-delivery role. You'll go deep with customers on their data architectures, run tight proof-of-value engagements, and be the technical backbone of every enterprise deal. You'll work directly with founders, shape how we position Artie technically, and set the bar for how we win. WHAT YOU'LL DO Own the technical win Run structured proof-of-value engagements with clear technical success criteria and mutual action plans Partner with AEs to drive deals forward — from technical discovery through close Be the trusted technical voice in the room with staff engineers, data architects, and platform leads Go deep on customer architectures Understand how customers move data today — their databases, pipelines, cloud and on-premise infrastructure, and pain points Map those architectures to Artie's capabilities with clarity and confidence (CDC, Kafka, cloud data warehouses, replication patterns) Whiteboard solutions and guide customers through integration design Deliver compelling technical presentations Translate complex technical concepts — log-based CDC, schema evolution, real-time replication — into business impact Present to mixed audiences: engineers who want to see under the hood and executives who care about TCO and reliability Be a product and GTM force multiplier Surface field insights to Product and Engineering to sharpen our roadmap Solve many of the manual workflows with AI, constant thought about increasing productivity. Work closely with Engineering post-sale to ensure seamless customer handoffs and support Help define what great looks like for SE at Artie WHAT WE'RE LOOKING FOR 5+ years of experience as a Solutions Engineer or Sales Engineer in enterprise or similarly complex environments Deep familiarity with at least one RDBMS (Oracle, SQL Server, PostgreSQL, DB2) — you've done basic troubleshooting, understand logging/archiving, and aren't afraid of a query plan Working knowledge of at least one cloud data warehouse (Snowflake, Iceberg, Databricks, Redshift) Comfortable in the data stack — you know where tools like Kafka, dbt, and BI platforms fit and why customers use them Experience with cloud infrastructure (AWS, GCP, or Azure) and enough networking knowledge to hold your own in a technical solutioning conversation Strong communicator — you can adjust depth and frame for a data engineer and a VP of Engineering in the same meeting Structured and rigorous — you run POCs like a project, not a hope Low ego, high curiosity — you'd rather understand the customer's real problem than pitch a canned demo TECH STACK YOU'LL WORK WITH AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, DataDog, RDBMSs (Oracle, SQL Server, DB2, PostgreSQL) COMPENSATION & BENEFITS Competitive base salary + commission OTE: 175k - 200k Competitive equity package Healthcare, 401(k), unlimited PTO Lunch & dinner provided Visa sponsorship available