About Aleph
Aleph is redefining the world of Financial Planning & Analysis (FP&A). We operate in an established software category with a multi-billion TAM but no clear winner. We’re here to change that, and our early results are self-explanatory.
Aleph was founded by Albert Gozzi and Santiago Perez De Rosso, two technical founders with backgrounds from Stanford and MIT and experience working at top-tier companies such as Google, Microsoft, and Bain & Company. We’re backed by top VCs (Bain Capital Ventures, Khosla Ventures, YC, Picus Capital), and work with customers like Turo, Notion, Zapier, and others.
What we’ve built so far is the most seamless way to centralize all of a company's financial data – think expenses from Quickbooks or Netsuite, pipeline forecasts from Salesforce – and bring it into the tools finance teams are already using. But the vision goes way beyond that. We’re building the source of truth for a business’ data, and ultimately the platform businesses use to make better decisions.
We’re way ahead of schedule due to our unique approach, with barely any churn and rapid growth with very low marketing spend to date.
We are hiring remotely across the Americas (Canada, LATAM, United States).
🔍 What we're looking for
We're looking for an experienced software engineer based in LATAM to join our growing engineering team.
This is an exciting opportunity for someone to come in as an early member of the team and drive the development of our platform from the ground up.
Specifically, this role sits on our Platform/Infrastructure team, which is responsible for moving and transforming data, internally and with our 3rd party integrations. You will work on improving the performance of our current setup and extending it to integrate with new systems and provide new features.
👷 What you'll be doing
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Work hand-in-hand with leadership and other teammates to prioritize and execute on our product roadmap
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Design, develop and own complex features or software components
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Deliver robust, scalable, and well-tested code
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Help develop and establish best practices to lay the foundation for a high-performing technology team and its culture
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Collaborate with Design and Operations teams to keep making Aleph better every day
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Build observability into our systems and actually monitor their day to day performance
🤠 Who you are
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Enjoy owning a project from start to finish and loves to take on the responsibility to bring projects across the finish line
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Can navigate a fast-paced/dynamic environment and operate autonomously to get work done
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Comfortable working in a remote team
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Enjoy enabling others to do their best work. Our product is all about enabling businesses to make smarter decisions and giving the people who work at the data level, super-powers.
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Product-driven engineer. You're comfortable and eager to meet customers and develop an empathetic understanding of their problems to ensure we're building the right solutions
📝 What you have
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5+ years of backend software engineering experience in Python
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Infrastructure management and observability expertise
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Solid background in algorithms and data structures
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Experience with data (queues, databases, transfer, synchronization, etc)
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Experience working with third-party APIs
NOTE: we are only hiring in LATAM for this position, while Aleph at large is spread across the US, CAN, and LATAM.
While this is a remote-first opportunity, we're focusing on candidates within the Americas to better align with our working hours as a team.
Aleph is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Aleph makes hiring decisions based solely on qualifications, merit, and business needs at the time.
