---
title: 'Senior Software Engineer — Data Modeling (Europe) at Backstory'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-modeling-europe-backstory-poland-ex4j92jrj5es'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer — Data Modeling (Europe) at Backstory

- **Company:** Backstory
- **Location:** Poland
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-06-24
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/people-ai/8fe5983b-624f-4d6a-bd62-b3dd697d18ca

## Job description

As a Senior Software Engineer on the Data Modeling team, you will help us complete the biggest re-architecturing project in Backstory history - Unified Data Platform (UDP) - that unifies all Backstory products under one architecture and improves the data freshness. You will build and maintain the services, REST APIs, databases, and big data jobs that provide Backstory’s insights. Working with the larger Engineering and Product teams, you will take “activity” and “CRM objects” data provided by other teams and make it available for consumption to end users, building higher-level customizable insights that power not only our web application, but also use cases like Account 360, Opp 360, search functionality, and our new Generative AI features.

What you will do:

- Design, build, and maintain backend services, REST APIs, databases, and big data pipelines that power customer-facing insights and analytics.
- Implement and maintain near-real-time stream-based data processing pipelines in collaboration with batch-oriented data refresh workflows.
- Develop and evolve a query engine capable of answering complex, cross-deal/account questions and delivering actionable insights for sales managers and executives.
- Scale data processing and insights generation pipelines to handle growing volumes of activity data (emails, meetings, transcripts, CRM objects) while managing infrastructure costs.
- Collaborate with Engineering and Product teams to translate business and customer needs into robust, well-documented technical solutions.
- Follow and promote software development best practices, delivering clean, maintainable, and well-monitored code.
- Build internal tooling to enable customer support teams to investigate and resolve support requests in a self-service manner.
- Ensure high-quality alerting, dashboards, tracing, and runbooks are in place for all production services.

What you will bring:

- 5+ years of professional experience building backend systems in an enterprise environment
- 2+ years of experience programming in Python or Scala
- Experience with distributed systems and service-oriented architecture (SOA)
- Experience with large-scale data processing frameworks (Spark, Hive, Hadoop, MapReduce, or similar)
- Experience with stream processing technologies such as Kafka, Apache Samza, or Apache Storm
- Experience with Elasticsearch is a plus
- Experience with LLMs or NLP is a plus
- Familiarity with analytical databases and ETL pipeline design
- Strong analytical and problem-solving skills with a track record of delivering elegant, practical solutions
- Experience taking ownership in an unfamiliar or legacy codebase and incrementally improving it
- Strong inclination toward automation and reducing manual operational toil

About Backstory.ai:

Backstory helps companies understand the state of their revenue business by answering questions that span customer interactions, sales activity, pipeline health, and deal execution. The platform operates over trillions of sales activities, millions of deals, and more than 160 million business contacts, giving customers a unified view of the signals that drive revenue. Companies such as Nvidia, OpenAI, AMD, Red Hat, and Databricks rely on Backstory to surface risks, identify opportunities, and understand what's happening across their business.

Backstory is building AI systems that reason over massive amounts of enterprise data to help business leaders understand what's happening in their business and what to do next. We work at the intersection of large language models, retrieval, evaluation, distributed data systems, and product design, turning billions of signals from across the enterprise into insights people can trust. The underlying challenges span reasoning, search, ranking, data quality, knowledge representation, and operating AI systems against continuously evolving real-world information.

We value ownership highly — the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at Backstory, you'll be a part of a highly independent and autonomous team. Since we're building out a robust data layer that needs to be presented elegantly to the end-user, you'll be working with a large array of different technologies and fields. Expect lots of interesting challenges.

Headquartered in San Francisco, CA, Backstory is backed by Y Combinator and Silicon Valley’s top investors, including ICONIQ Capital, Andreessen Horowitz, Lightspeed Venture Partners, Akkadian Ventures, and Mubadala Capital. Backstory is listed in the top 20 percent of Inc 5000 companies, is a regular leader in our key categories on G2, and is on the Forbes list of America’s Best Startup Employers. For more information, please visit www.backstory.ai.

## About Backstory

## Company Overview
- **One-liner**: Backstory provides a revenue AI platform that captures every sales interaction automatically and gives revenue leaders direct answers about deal risk, pipeline health, and what to do next.
- **Entity Type**: Private (startup stage, formerly People.ai)
- **Headquarters**: San Francisco, California, USA (remote-first with optional HQ access)
- **Founded**: 2016 (as People.ai; rebranded to Backstory in 2026)
- **Founders**: Originally founded by Oleg Rogynskyy (as People.ai); current CEO is Jason Ambrose

## Core Business
- Primary industry: Revenue intelligence / Sales AI (Software Development)
- Target customers: B2B – CROs, VPs of Sales, Revenue Operations leaders at mid-market and enterprise companies
- Mission or purpose: “Stop making revenue teams dig through emails, call recordings, and CRM notes just to figure out where a deal stands.” – [backstory.ai](https://www.backstory.ai/about-us)

## Products & Services
- **Backstory Revenue Answers Platform**: The core SaaS product that captures emails, meetings, calls, and chats automatically, matches activity to deals, and surfaces direct answers on deal risk, forecast health, and account coverage. No manual rep entry required. [backstory.ai](https://www.backstory.ai/)
- **Pipeline Health & Deal Risk**: Module that reveals hidden forecast risks and flags deals likely to slip before it’s too late.
- **Account Strategy**: Maps account coverage and maximizes territory visibility by identifying who matters in each account.
- **Opportunity Qualification**: Enhanced deal scoring to focus teams on the most likely-to-close opportunities.
- **Situation Search** (launched July 2026): Helps sales teams win more deals by learning from their own past wins. [backstory.ai](https://www.backstory.ai/about-us)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Processes billions of signals and powers trillions in revenue for customers; 100,000+ sellers use Backstory daily. [backstory.ai](https://www.backstory.ai/)
- **Notable Customers**: NVIDIA, OpenAI, Red Hat, HPE, Zscaler, Rubrik. [backstory.ai](https://www.backstory.ai/)
- **Growth Signals**: Rebranded from People.ai to Backstory in 2026; launched Situation Search; most teams live in 2–4 weeks; analyzes two years of historical activity on day one; 29,952 LinkedIn followers; 95 employees as of 2026. [linkedin.com](https://linkedin.com/company/backstory-ai)

## Competitive Advantages
- **Automatic data capture**: No rep behavior change – every email, call, meeting, and chat is logged automatically, making CRM data complete without manual entry.
- **Direct answers, not dashboards**: Instead of charts and scores to interpret, Backstory gives a straight answer: “This deal is at risk, here’s why, here’s what to do.” [backstory.ai](https://www.backstory.ai/)
- **Full-party visibility**: Captures all interactions (not just calls) and identifies who said what – title, seniority, department, buying power, win rate.
- **Multi-CRM support**: Works across Salesforce, Microsoft Dynamics, Oracle, and more simultaneously, giving a unified view across geographies or subsidiaries.
- **Custom configuration**: Matching rules, Agents, and signals can be tailored to a company’s specific CRM setup and sales methodology.

## Strategic Focus
- Continue expanding the Revenue Answers Platform to serve CROs and sales leaders with actionable, defensible pipeline intelligence.
- Grow enterprise adoption and deepen integrations with existing sales stacks.
- Leverage proprietary activity data to improve AI-driven deal risk prediction and account mapping.

## Why Work Here
- **Remote-first culture**: Work from home or at the San Francisco HQ. [backstory.ai](https://www.backstory.ai/about-us/careers)
- **Flexible PTO** and company-wide holidays for collective unplugging.
- **Home office perks**: Monthly phone/internet allowance and office setup reimbursement for new hires.
- **Inclusive parental leave**: For birthing and non-birthing parents, plus adoption and foster leave.
- **Company equity**: All employees share in the company’s long-term success.
- **Engineering culture**: Building a platform that processes billions of signals and answers the most critical question for revenue leaders every day. Open roles include Senior Software Engineer (Matching) and Principal Customer Success Manager. [jobs.lever.co](https://jobs.lever.co/people-ai)

## Sources
1. [backstory.ai - About Us](https://www.backstory.ai/about-us)
2. [backstory.ai - Careers](https://www.backstory.ai/about-us/careers)
3. [backstory.ai - Homepage](https://www.backstory.ai/)
4. [linkedin.com - Backstory Company Page](https://linkedin.com/company/backstory-ai)
5. [jobs.lever.co - Backstory Job Listings](https://jobs.lever.co/people-ai)

## Other roles at Backstory

- [Senior Product Manager, Data Platform](https://feeny.ai/job/senior-product-manager-data-platform-backstory-toronto-6n5nxrwrxkd2) — Toronto, Canada
- [Senior Technical Success Engineer](https://feeny.ai/job/senior-technical-success-engineer-backstory-toronto-jgafs290v8rg) — Toronto, Canada
- [Principal Customer Success Manager](https://feeny.ai/job/principal-customer-success-manager-backstory-remote-zpb2tn1z412y)
- [Key Account Executive](https://feeny.ai/job/key-account-executive-backstory-remote-9jj8dp3wp8b8)
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