Director of Data, Honeycomb
$250-290k
+ Equity with employee-friendly stock program
More information about location
Observability platform for engineering teams
Be an early applicant
Observability platform for engineering teams
201-500 employees
Be an early applicant
$250-290k
+ Equity with employee-friendly stock program
More information about location
201-500 employees
Company mission
To give all software engineering teams the observability they need to eliminate toil and delight their users.
Role
Who you are
- Extensive experience in data analysis, data engineering, or related fields, and have led a high performing team across both data engineering and data analytics disciplines
- Proven ability to thrive in a fast-paced environment, working both independently and as a hands-on team leader
- Proven track record in developing and executing data strategies that drive business outcomes
- Experience with scaling data infrastructure and tools in high-growth environments, with strong proficiency in SQL, data visualization tools (e.g., Mode, Tableau, Looker), and data engineering tools (e.g., dbt)
- Solid understanding of data science tools and techniques (Python and related libraries), with the ability to apply them as needed
- Excellent communication skills with the ability to present complex data insights to executive and non-technical audiences
- Exceptional problem-solving skills, paired with a strategic mindset and the ability to prioritize effectively in a scrappy, fast-changing environment
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field; or equivalent experience
What the job involves
- 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
- 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
- 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
- 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 focus on usability, documentation, discoverability, reliability, and iteration speed
- Evolve our data architecture to be robust, performant, and cost-aware—improving pipelines, warehouses/lakehouses, orchestration, and implementation of ETL/ ELT processes (e.g., dbt, Airflow, or similar)
- Establish strong governance without slowing teams down: data quality, lineage, access controls, privacy/security practices, and clear ownership
- Build confidence in the numbers by creating a single source of truth for core metrics and enforcing consistency end-to-end
Our take
Traditional processes of debugging apps and IT services are becoming obsolete due to the mass adoption of cloud-based tools. However, whilst cloud-based development presents a modern and unified solution to application building, frameworks for troubleshooting such services are not something all businesses are prepared for.
Honeycomb provides troubleshooting tools that allow cloud-based software developers to observe code on API tools, live applications and microservices. The troubleshooting dashboard is designed to be highly visual and user-friendly, allowing developers to diagnose cloud-based problems without having a deep understanding of computer science.
The company is building momentum after impressive revenue growth and a robust amount of funding. This is being channelled into geographical expansion and the development of its offerings. In 2025, Honeycomb signed a three-year strategic collaboration agreement with AWS and launched several new product advancements.
Steph
Company Specialist at Welcome to the Jungle
Insights
76% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2023
$50m
SERIES D
Oct 2021
$50m
SERIES C
Total funding: $146.9m
Company benefits
- 100% covered medical, dental, vision, HSA, FSA, disability, and more
- Unlimited PTO, synchronous company break, paid sabbatical, and expressed minimum for time to recharge
- 401K retirement plans and fully paid life insurance
- Up to 16 weeks paid leave regardless of path to parenthood; flexible hours for returning parents and caregivers
- $10K to cover gaps in insurance, in support of adoption, surrogacy, preservation, and family-planning costs
- $600 per year to spend on the perks you care for most
- A stake in our success
- Generous new hire equity, and refresh grants
- Annual $1,500 development stipend; funding for cognitive coaching; and a focus on career pathing
- $500 new hire home setup stipend and $200/mo for wifi, phone and co-working
Company HQ
Union Square, San Francisco, CA
Leadership
Charity Majors
(CTO & Co-founder)Former Product Engineering Manager at Facebook and Infrastructure Tech Lead at Parse.
Christine Yen
(CEO & Co-founder)Former Engineer at Parse and IOS contractor at Ridejoy. Co-founder of Venuetastic. BSc in Computer Science from MIT.
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