---
title: 'Staff+ Software Engineer, AI at Aleph'
canonical: 'https://feeny.ai/job/staff-software-engineer-ai-aleph-americas-dhzha95ngr3n'
type: 'job'
last_seen: '2026-09-08'
---

# Staff+ Software Engineer, AI at Aleph

- **Company:** Aleph
- **Location:** Americas
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/aleph/5fe31833-c89e-405a-b9b3-53df20863295

## Job description

## ABOUT ALEPH

Aleph is an AI-native platform for Financial Planning & Analysis (FP&A), an established software category with a multi-billion market but no clear winner. We’re trying to solve a problem many finance teams are super familiar with: data scattered across a million systems, endless spreadsheets and way too much time spent getting numbers to line up instead of actually using them to make decisions.

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 (Khosla Ventures, Bain Capital Ventures, YC, Picus Capital), and work with customers like Webflow, Notion, Zapier, Y Combinator and many others.

We are hiring remotely across the Americas (United States, Canada, LATAM).

## THE CHARTER

Every AI feature at Aleph - asking questions of your financials, agents that do full FP&A workflows - runs on a shared foundation: which model handles which task, what context the model sees, what tools it can call, and how we measure whether it's getting better. Today those decisions live inside product teams. This role owns them as a whole, including the model proxy and eval infrastructure everything runs through.

## WHAT YOU'LL DO

- Own the AI foundation product teams build on: model selection and routing, the model proxy layer, context management, and tool design
- Own eval infrastructure. Work with customers and finance domain experts to define what excellent output looks like, then encode it in evals every team can run - in FP&A, a wrong answer ends up in someone's board deck
- Ship agentic features end to end, from v0 through the optimization loop: prompt and context engineering, caching, parallel tool calls, subagent patterns
- Build observability into agent behavior so we can profile it, find bottlenecks, and decide what to fix with data
- Track what's changing in agentic systems and bring the practices that prove out into how we build

## WHAT WE'RE LOOKING FOR

- You've shipped production LLM systems - evals, context management, multi-model or multi-provider routing - and can talk concretely about what broke and what you changed
- You build proof of concepts, decide quickly, and ship v0s. Evals drive your quality bar
- Strong judgment about abstractions: opinionated about design, pragmatic about shipping incrementally
- Experience with LLM APIs and agent frameworks, and shipped user-facing products
- You want to ship production systems, not do research

## WHAT WE EXPECT FROM ALL STAFF+ ENGINEERS

- Adoption: teams you don't manage have picked up systems you built - because they were that good
- Strong fundamentals: you can trace requests from UI to data store and make good technical decisions at every layer
- High agency: background as a founder, engineering lead, or startup builder. You have a builder's mindset and find creative ways to ship
- Pragmatism: you choose the fewest and simplest tools that will actually work
- Craft: you care deeply about code quality and write code that's correct and easy to understand
- Communication: clear, direct, and persuasive across technical and non-technical audiences
- Experience: you've built complex B2B products, ideally from scratch

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.

## About Aleph

## Company Overview
- **One-liner**: Aleph provides an AI-native FP&A (Financial Planning & Analysis) and data management platform that centralizes financial data, automates reporting, and supercharges spreadsheets for finance teams.
- **Entity Type**: Private (Series B; total funding $45.8M)
- **Headquarters**: New York, New York, United States
- **Founded**: 2020
- **Founders**: Albert Gozzi (Co-Founder & CEO) and Santiago Perez De Rosso (Co-Founder & CTO)

## Core Business
- **Primary industry**: Financial Planning & Analysis (FP&A) software, data management, AI-driven analytics
- **Target customers**: B2B; finance and operations teams at mid-market and enterprise companies (e.g., Turo, Notion, Zapier, Envoy, Postscript)
- **Mission/purpose**: Empower finance and operations teams to centralize financial data from disparate systems, extract insights, and make better decisions faster.

## Products & Services
Major offerings include:
- **Connect & Sync**: 150+ no-code connectors to sync ERP, HRIS, CRM, and other data in real time.
- **Consolidate & Transform**: Smart logic to map fields, combine tables, run calculations, and clean data using AI.
- **Automate & Analyze**: AI-driven variance analysis, automated financial reporting and close processes.
- **Visualize & Share**: Interactive dashboards and reports for key metrics, trends, and stakeholder visibility.
- **Headcount Planning**: Automatically connect HRIS, ATS, and headcount spreadsheets for workforce planning.
- **Modeling & Forecasting**: Centralized models, forecasts, and assumptions with change tracking.
- **Collaborative Budgeting**: Streamlined budget planning with owner adoption.
- **Investor & Board Relations**: Easy report generation for stakeholder updates.
- **AI Agents & Assistants**: Deploy AI agents to handle routine tasks, reducing busywork.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding of $45.8M (as of 2025); latest round was $29M Series B in September 2025. Estimated annual revenue of $1.2M (per LinkedIn, likely early-stage figure).
- **Notable Investors/Partners**: Bain Capital Ventures, Khosla Ventures, Y Combinator. Also works with well-known customers like Turo, Notion, Zapier, Envoy, and Postscript.
- **Growth Signals**: 73 employees as of mid-2025 (77.4% YoY growth); operates across 11 countries; over 90% of trial users become customers; strong LinkedIn follower growth (+140% YoY).

## Competitive Advantages
- **Spreadsheet-first approach**: Unlike web-only FP&A tools, Aleph integrates directly with Excel and Google Sheets, allowing teams to keep their existing models while adding real-time data sync.
- **AI-native platform**: Uses AI to automate data cleaning, variance analysis, and reporting, eliminating manual busywork.
- **Fast implementation**: “See the value on day one” with minimal onboarding compared to legacy solutions.
- **High customer conversion**: >90% trial-to-customer rate indicates strong product-market fit.

## Strategic Focus
- **AI automation**: Replacing routine finance tasks with AI agents, analysts, and assistants to “multiply output without multiplying headcount.”
- **Remote-first global team**: Scaling a distributed workforce across the Americas and beyond.
- **Deepening integrations**: Continuing to expand the 150+ connector library and improving data reconciliation capabilities.

## Why Work Here
- **Remote-first culture**: Team spans six countries; flexible work hours; two to three annual offsite retreats (e.g., Panama, Dominican Republic, Argentina).
- **Benefits**: 401(k) with up to 3% matching (US), fully paid health/dental/vision, employee equity, unlimited PTO.
- **Engineering culture**: Low-ego, bias for action, “own the outcome” mindset; pushing the limits of the FP&A industry.
- **High employee satisfaction**: 5.0/5.0 rating on LinkedIn (14 reviews) with top marks for culture (5.0), career growth (4.8), and compensation (4.8).
- **Open roles** (as of mid-2025): Frontend Engineer, Software Engineer, Engineering Manager, Account Executive (SMB), Engagement Manager, Engagement Associate, MBA Summer Intern.

## Sources
1. [getaleph.com](https://www.getaleph.com/)
2. [getaleph.com/about-us](https://www.getaleph.com/about-us)
3. [linkedin.com/company/getaleph](https://www.linkedin.com/company/getaleph)
4. [jobs.ashbyhq.com/aleph](https://jobs.ashbyhq.com/aleph)
5. [getaleph.com/careers](https://www.getaleph.com/careers)

## Other roles at Aleph

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