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Forward Deployed Analyst
<strong>About Golden Analytics<br><br></strong>Golden Analytics is an AI-native BI platform built for data teams who are tired of the tradeoffs in today's tools -- the depth of self-service analytics tools without the rigidity, the accessibility of a modern design tool, and AI that actually augments how analysts work rather than getting in the way.<br><br><strong><strong>Ready to build the future of analytics? Let's talk.<br><br></strong></strong>The Role<br><br>You love analytics and you love helping people solve real problems with it. You believe a new golden era of analytics is here, and you are genuinely excited about what AI can bring to how organizations use their data. You get the same charge from sitting with one customer and cracking their hardest problem as you do from sharing what you learned with the wider world.<br><br>This is a forward deployed role, and it does three things.<br><br>You secure the technical win. You will learn Golden deeply, starting alongside<strong><strong> our CEO and Founder, </strong></strong>Francois, until you know the platform cold and can own the technical evaluation with prospects and partners: the demo that makes a skeptical data team lean in, the proof of concept against a real Snowflake or Databricks environment, the hard architectural questions about governance and how Golden fits a modern stack instead of fighting it.<br><br>You embed in our biggest deployments. As enterprise deals land, you go inside the customer as a forward deployed analyst: modeling their real data in Golden, building the first analyses that matter to them, and driving the deployment to genuine adoption in their environment. This is where trials become expanding accounts and where our best proof comes from.<br><br>You are a face for Golden beyond the room you are in. Being a public voice energizes you, and you want an audience wider than the customer in front of you. You share what you learn inside Golden with the greater data community: talks, videos, how-tos, and working with product to tell the story of new releases and features. Not marketing gloss. The kind of practical, credible perspective a data practitioner actually seeks out and shares.<br><br>If that blend of winning, deploying, and teaching is the role you have always wanted, this is it.<br><br>What We're Looking For<br><br>You are at your best in front of people: in a customer's real data environment, on an early demo, in the replies to your own post. You love the craft of analytics and you love having an audience for it. You can go deep on someone's warehouse and then step back and explain, on camera or in writing, why it matters. That range is the whole job.<br><br>AI Zealots<br><br>You believe AI-native, not bolted on, is the right answer, and you can say why. You are excited about accelerating the analyst 10x, not replacing them. You have a point of view on where analytics is heading with AI, and the receipts to back it up.<br><br>Customer Obsessed<br><br>You take a customer's frustration personally because you have felt it too. You would rather sit in a real environment solving a real problem than run a canned demo. You read a room of skeptical data folks, handle a live objection without flinching, and make a technical buyer feel like they are talking to a peer.<br><br>Velocity Driven<br><br>You are comfortable pre-GA: no playbook, no big team, a product still moving. You see that as room to build. You own the technical win end to end and move without waiting for permission or perfect information.<br><br>Passionate Builders<br><br>You want to build a public voice. You teach and share by instinct: maybe you already post, write, speak, or make videos; maybe you are the person your team sends the hard questions to. You turn what you see in the field into content the market actually uses, and you love doing it.<br><br>What You'll Build<br><br><ul><li>The technical win. Discovery-driven demos that go past the happy path, proofs of concept against real customer data in Snowflake, Databricks, BigQuery, and dbt-modeled environments, and the technical objection handling and competitive positioning against the legacy BI incumbents.</li><li>The forward deployed motion for enterprise accounts. Embedded engagements that get Golden modeled, deployed, and genuinely adopted inside a customer's environment, with you as the analyst making their real data sing.</li><li>The two-way bridge to product and engineering. Real evaluation and deployment friction flows back to the team; the roadmap flows back out to customers. Your win rate and their roadmap shape each other.</li><li>Content that teaches, not markets. Blog posts, training and how-to videos, teardowns, worked examples, and release storytelling built with product. The dashboard that took three weeks becomes a post. The migration that clicked becomes a walkthrough.</li><li>Golden's presence in the wild: webinars, community threads, meetups, and eventually stage time as a recognizable, credible voice on AI-native analytics.</li><li>The forward deployed foundation itself: demo environments, POC playbooks, and the engagement model we scale behind you.<br><br></li></ul><strong>Requirements<br><br></strong>Title matters less than whether you've actually carried a technical evaluation across the line yourself — here's the specific stuff that tells us you have:<br><br><ul><li>Senior-level experience in solutions engineering, sales engineering, analytics engineering, or a technical field role where you owned the technical win.</li><li>Real fluency with cloud data warehouses (Snowflake, Databricks, BigQuery) and the modern data stack (dbt, semantic layers, the analytics engineering workflow). You have lived in this world, not just demoed near it.</li><li>Strong SQL and a working understanding of how analytics gets built, governed, and broken inside a real company.</li><li>A visible instinct to teach and share, and a genuine appetite to build a public voice under your own name.</li><li>Comfort with pre-GA ambiguity and the drive to build a function from scratch.<br><br></li></ul>Nice to have: an existing following or content footprint in the data community; background at a BI or analytics vendor, or hands-on time as an analyst or analytics engineer; experience with a forward deployed or embedded delivery model at an early-stage company.<br><br>Why Join Us<br><br><ul><li>Ground floor at a well-funded startup, backed by top-tier VCs who believe in what we're building</li><li>Work directly with founders and customers — no layers in between</li><li>Real influence over product decisions and the culture we're building, not just a seat at the table</li><li>Competitive salary and equity, because we want you invested in what we're building together</li><li>A team that's genuinely excited about AI and wants you pushing the tools further, not just using what's handed to you</li><li>Do the best work of your life</li><li>Oh and actually having fun at your job again</li></ul>
