Director , Data

What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: As the Director of Data, you will be the head of Honeycomb’s data engineering and data analytics functions, responsible for creating and executing our data vision and strategy. You will lead a talented team of data professionals, fostering a data-driven culture and ensuring that insights are effectively integrated into the Company’s decision making process. You’ll also work closely with partners around the company to build and deploy AI technology that leverages our data layer, helping to drive sensible, sustainable patterns for AI-enabled insights. This team currently includes both data engineers as well as our newly forming data analytics group. What you’ll do in the role: Build (and scale) a high-trust data org that ships Lead and develop a world-class team across data engineering, analytics, and (as needed) applied data science—creating clarity, psychological safety, and alignment to business goals. Setting our strategy and operating rhythm (roadmaps, quality gates, on-call/incident patterns where appropriate, metrics, forecasting, etc) working closely with stakeholders to set clear direction and then make progress, balancing speed and sustainability. Be hands-on early —writing SQL, prototyping models, reviewing PRs, and unblocking critical work—while also shifting leverage to the team as it grows. Own the data strategy that accelerates the whole business Define and execute Honeycomb’s data strategy you will develop and implement a long-term data strategy that aligns with Honeycomb’s business goals, and contribute to short term priorities across all functions to deliver immediate business value.(self-serve dashboards, trusted metrics, instrumentation gaps closed, etc.). Make insight a product, not a report : build reliable, fast, self-serve analytics that leaders and teams actually use—you will oversee the development of advanced analytics, dashboards, and reports that provide fast, actionable insights to stakeholders across the organization. AI + data platform: you understand that at the end of the day, insights and data-informed decisions are what really matter, and the tools we use may change. You have a vision and strategy for how we can sensibly use AI tooling to enable faster access to insights around the company with a sustainable, solid architecture. Drive data-informed decisions across functions (Product, Engineering, GTM, Finance, People) by translating complex analyses into crisp narratives and concrete tradeoffs. Create a product development mindset within the data function Partner tightly with Product Engineering so data directly informs roadmap decisions, customer experience, and feature prioritization. Bring a “devtools” perspective to internal data products: obsessive ... (truncated, view full listing at source)