Head of Engineering

Duckbill • San Francisco, CA

2d • $200,000 - $250,000 • Hybrid

About The Position

We are developing a SaaS product called Skyway that simplifies financial planning and analysis of cloud billing data for large enterprises with complex cloud spending requirements. Enterprise cloud cost management is a deceptively deep problem we believe the entire cost management space is solving the wrong part of the problem . We're looking for a Head of Engineering to own how Skyway gets built: the architecture, the velocity, the team, and the technical decisions that will compound for years. Today, this is a builder role: you'll be in the code every day and using that credibility to set the pace for everyone around you. Why yet another cost management product? Historically, products in this space have made three fundamental choices: They provided a cost-first data model to customers They assumed the provider’s billing data is correct They chose to solve a specific piece of the cost management problem domain We’re taking the opposite of all three: our world is consumption-first, we’re recalculating the billing for each provider, and we’re working to solve the entire domain. We’ve started with a AWS contract management product and expanding over time to handle forecasting, scenario modeling, cost allocation, chargeback/reinvoicing, practice management, and much more. Our goal is to be the system every enterprise runs their cost management practice on. To accomplish this, we're processing hundreds of millions of rows of billing data per customer, per month . We're turning unstructured commercial contracts into structured data and dynamically recalculating bills using rates from both the contract and public pricing data. We're building a semantic layer that translates technical cloud usage data into business concepts anyone can understand, and we're creating the world's first standardized structure for describing a commercial contract and all of its facets. What makes this hard There are three core issues we have to solve: Near-unbounded data cardinality coupled with very large and complex datasets Consumption-first means we need to model the pricing schemes and commercial contract structures for every vendor we support—and we intend to support hundreds-to-thousands Hiding all of this complexity from the customer with excellent product design Here's a sample of the kind of problems you'll help us solve: A customer's organizational restructure moves $40 million in infrastructure spend from one VP to another overnight—both the historical view and the future view need to be correct, but they need to be correct in different ways. A customer has 6,000 people in engineering, 2,000+ application IDs, and a highly matrixed reporting structure. "Who owns this?" is almost impossible to answer, but we need to make it simple. To make matters worse, engineering and finance have wildly different perspectives on this. A SaaS provider changes their pricing model, breaking previous known structures. We need to detect it, adapt to it, and recalculate downstream. Each provider has dozens of columns in its billing data. When combined with customer-provided data, the dimensions exploded to hundreds or thousands. Given the dimensionality and customer size, the dataset reaches into the terabytes easily. The customer needs to not just be able to query the data, but to also modify the data—and do so faster than a traditional data processing pipeline will allow.

Requirements

• You're energized by ambiguity, comfortable tearing down what you built last month if the business requires it, and you'd rather ship something imperfect today than plan something perfect next quarter.
• Data infrastructure experience is particularly valuable—large-scale ETL/ELT, columnar storage, etc.
• Our stack today is Python, Flask, ClickHouse, Airflow, React, and Typescript. The stack will evolve, though, and what matters more than any specific tool is that you have informed opinions about data systems and the experience to back them up.
• You're someone who's built and recruited engineering teams before. You might be a Director of Eng or VP of Eng. You might have built your own startup in the past and want to do it again, or maybe you’re thinking about that move for the first time.
• You don't need to have domain expertise in FinOps or cloud billing.
• What you do need is genuine curiosity about hard data problems.

Responsibilities

• Ship daily and set the pace. This is the single most important part of the job. You'll personally ship working capabilities every day and drive the team to do the same. You identify and remove anything that slows shipping down, whether they be tooling gaps, process bloat, unclear requirements, architectural bottlenecks. The team should be capable of shipping more in month 12 than month 6.
• Build the engineering team. You’re setting our engineering talent bar. Beyond hiring, you're also responsible for growing these engineers: raising their technical bar and building a culture where your team is doing the best work of their careers so far .
• Make architecture decisions that last. Build on a stack and architecture that supports 10–50x growth in data and customers without a fundamental rearchitecture. Make deliberate, documented decisions about what's built to last vs. what's intentional tech debt. Architecture decisions should enable velocity, not slow it down.
• Bring product ideas to the table. While your primary job is how , not what, you should have strong opinions about product improvements based on what you see in the code, the data, and customer behavior. Push back on product direction when you see technical or customer reasons to.
• Be a credible technical voice externally. Participate in enterprise sales calls, customer onboarding, public promotional events, and investor meetings.

Benefits

• Compensation for this role is a salary range of $200,000-$250,000 plus substantial early stage equity options.
• We provide a 401(k) and healthcare, vision, and dental with premiums fully covered by the company. Dependents are covered 50%.
• We offer 4 weeks of PTO, plus unlimited sick leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed