Note: The job is a remote job and is open to candidates in USA. 59 Pines is seeking a technical generalist and hands-on problem solver to work across technology, data, product, go-to-market, research, and operations. The role focuses on investigating ambiguous problems, analyzing and reconciling data, researching products and systems, improving workflows, and personally driving execution to close operational and technical gaps.
Responsibilities
- Pull apart outbound data and determine why the numbers don't make sense
- Research how companies solve product problems, use the products, inspect their APIs and documentation where relevant, and identify what matters
- Reconcile ugly datasets from different systems, build spreadsheets or analyses, and turn them into something humans can understand and act on
- Figure out what's blocking an important GTM automation initiative, identify gaps and dependencies, and help drive the work required to get it moving again
- Investigate important data findings, determine what they mean, and surface them before someone has to ask
- Get hands-on with SQL, APIs, scripts, databases, JSON, webhooks, automation systems, spreadsheets, and AI tools
- Start with ambiguous questions, break them apart, determine what information is missing, investigate them, and work toward an answer
- Move between technical and business problems and use whatever tools are appropriate to solve them
- Personally do the work when that's the fastest path forward
- Identify missing data, ownership, processes, instrumentation, requirements, follow-up, and connections between teams
- Look at a system, project, dataset, or process and determine what is available, what is needed, what is missing, what is blocking progress, and what should happen next
- Close operational and technical gaps
- Take hundreds of thousands of rows of messy data and turn them into an answer
- Use analysis to determine what should change next
- Research products by reading documentation, testing products, analyzing competitors, investigating data, reading source code, interviewing people, or using AI
- Conduct product research, use products, understand workflows, investigate underlying technology where useful, and determine why products were built that way
- Identify what should happen and notice when it isn't happening
- Anticipate dependencies and bottlenecks, chase down loose ends, and surface problems before they become emergencies
- Execute by opening spreadsheets, querying databases, writing scripts, researching topics, testing workflows, or working directly in systems
- Provide concise explanations of what happened, why, why it matters, what's missing, and what should be done
- Surface important findings promptly
- Find gaps, close them, and make specialists more effective
Skills
- You should be able to write code, even if software engineering has never been your job
- You should be comfortable getting hands-on with SQL, APIs, scripts, databases, JSON, webhooks, automation systems, spreadsheets, and AI tools
- You can start with an ambiguous question, break it apart, determine what information is missing, investigate it, and work your way toward an answer
- You're comfortable moving between technical and business problems and using whatever tools are appropriate to solve them
- And you don't stop at identifying the problem. You're biased toward execution and will personally do the work when that's the fastest path forward
- You can look at a system, project, dataset, or process and quickly start asking:
- What do we have?
- What do we need?
- What's missing?
- What's blocking us?
- What should happen next?
- You can take hundreds of thousands of rows of messy data and turn them into an answer
- You're excellent with spreadsheets
- You know when an aggregate is hiding something important
- You look for patterns, inconsistencies, outliers, and explanations rather than simply reporting numbers
- You know how to quickly become dangerous in a subject you knew almost nothing about yesterday
- The methodology doesn't matter. Getting to a reliable answer does
- You don't just identify what should happen
- You notice when it isn't happening
- You anticipate dependencies and bottlenecks, chase down loose ends, and surface problems before they become emergencies
- You don't need authority over people to make things move
- Most importantly, you execute
- Complexity goes in. Simplicity comes out
- Leadership should be able to give you a messy question and receive a concise explanation of:
- What happened?
- Why?
- Why does it matter?
- What's missing?
- What should we do?
- You also understand that timing matters. If you discover something important on Tuesday, you don't bury it in a report scheduled for Friday
Company Overview