---
title: 'Software Engineer, Data Engineering at Verse'
canonical: 'https://feeny.ai/job/software-engineer-data-engineering-verse-united-states-fdj02gmvrjmp'
type: 'job'
last_seen: '2026-09-11'
---

# Software Engineer, Data Engineering at Verse

- **Company:** Verse
- **Location:** United States
- **Posted:** 2026-04-22
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/verse/jobs/5196721008

## Job description

Location: United States (remote)

What is Verse?

The race to AI has become the race to power. Every breakthrough in artificial intelligence depends on one thing: access to electricity. But across the country, aging grid infrastructure and years-long interconnection queues are slowing the deployment of the data centers that will power the next generation of innovation. Solving this challenge isn't just about energy—it's about unlocking the future of AI.

At Verse, we're building the energy intelligence platform for the AI economy. Our software helps the world's largest energy consumers achieve faster, cheaper, and cleaner power by combining real-time control of energy assets with complete visibility into their energy portfolio. Backed by Bessemer Venture Partners, GV, Coatue, and NVIDIA, and built by pioneers in grid-scale batteries, energy markets, and enterprise software, we're redefining how the world's most ambitious organizations access and manage energy.

## The Role

You will be a member of the technical staff designing, building, and maintaining the next generation of data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across a diverse range of data at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations focused on data. As a technical leader with advanced data engineering expertise, teammates will look to you to vet proposals, solutions to internal and customer-facing problems, system designs, and drive the implementation of these solutions with highest standards of software-engineering best practices. You will be an integral part of scaling our data platform as the company grows.

## Key Responsibilities

- Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle
- Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate
- Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks
- Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows
- Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
- Participate in code reviews, maintain technical documentation, and adhere to best software development practices

## What We're Looking For (Minimum Qualifications)

- Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems
- Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments
- Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings
- Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
- Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
- Discipline using generative AI tools in day-to-day work

What Will Make You Standout (Preferred Qualifications)

- Bachelor’s  or master's degree in Computer Science, Data Science, or a related field
- Senior level software development talent and up
- Proven track record being a technical leader in high-performing data engineering teams
- Intimate knowledge of scaling “big data” solutions in cloud-based environments
- Hands on experience deploying and maintaining software such as Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Presto/Trino, Iceberg, AlloyDB, Postgres, HBase, BigQuery, BigTable, Fabric, Hive, RedShift, S3, GCS, etc.
- Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam
- Knowledge of managed or hosted data solutions such as Databricks, Snowflake, ClickHouse, Tinybird, etc
- Practical knowledge working with data in formats like Parquet, Avro, Protobuf, time series, text, image, video
- Working closely to support AI/ML-focused teams (knowledge of MLflow and Ray is a big a plus)
- Comfort building internal dashboards and data-focused visualizations

What Makes Verse a Great Place to Work?

- Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
- Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
- Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
- Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$180,000 - $250,000+

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

## Benefits and Employee Perks

- Competitive compensation and equity grant at a high-growth start up
- Comprehensive benefits package including medical, dental and vision insurance, and 401k
- Flexible hours and unlimited PTO
- Diverse and inclusive working environment

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

## About Verse

## Company Overview
- **One-liner**: Verse is an energy infrastructure company that accelerates grid connection for AI data centers and optimizes energy assets using its Aria intelligence platform.
- **Entity Type**: Private (Series B)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2022
- **Founders**: Matt Penfold (Co-Founder & CCO) and Seyed H. Madaeni, Ph.D (Co-Founder & CEO)

## Core Business
- **Primary industry**: Energy infrastructure, renewable energy, AI infrastructure
- **Target customers**: B2B – large energy users including data center developers, utilities, and enterprises with flexible energy assets
- **Mission**: To deliver faster grid connection for the AI era, getting data centers online years sooner and enabling ongoing revenue through intelligent asset dispatch.

## Products & Services
- **Aria™**: The intelligence layer between assets and the grid. It reads market prices, weather, and live telemetry from every asset, then acts automatically to optimize the entire portfolio.
- **Dispatch Intelligence**: Real‑time automation for storage and flexible assets, minimizing grid strain while maximizing revenue (the “token‑watt spread”).
- **Portfolio Insights**: A unified source of truth that combines market prices, contracts, meter data, and invoices for bill validation, budget forecasting, and data‑driven decisions.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (latest round: $54M Series B led by Bessemer Venture Partners, announced June 2026)
- **Key Metric**: Total funding of at least $54M (Series B) plus prior rounds (Seed, Convertible Note, Series A). Prior to Series B, total funding was reported as $32M.
- **Notable Investors/Partners**: Bessemer Venture Partners (Series B lead), Google Ventures (Series A lead), Coatue (Seed), Calibrant Energy (partner for on‑site energy systems).
- **Growth Signals**: Headcount grew 105.9% YoY (to ~45 employees); 17 active job postings; expanding into energy storage controls and data center solutions.

## Competitive Advantages
- **Speed to power**: Claims to get data centers online up to three years faster by bypassing interconnection queues.
- **Deep domain expertise**: Team built Autobidder at Tesla, DemandLogic at SolarCity, and Fluence Mosaic – key platforms in energy trading and storage.
- **Unified platform**: A single intelligence layer (Aria) that manages all asset types and market data, replacing spreadsheets and consultants.
- **AI‑driven optimization**: Real‑time dispatch decisions that balance grid reliability with asset profitability.

## Strategic Focus
- Accelerating interconnection timelines for AI data centers through partnerships (e.g., Calibrant Energy).
- Expanding Dispatch Intelligence for energy storage and flexible load assets.
- Building out Portfolio Insights to serve finance and operations teams with audit‑ready reporting.

## Why Work Here
- **Mission‑driven**: Tackling the energy bottleneck that constrains AI growth – a high‑impact problem.
- **Culture**: Described as “serious expertise with a little swag” – a mix of deep technical know‑how and a fun, collaborative environment.
- **Team pedigree**: Colleagues from Tesla, SolarCity, Fluence, McKinsey, and other top energy/tech companies.
- **Remote/hybrid**: HQ in San Francisco; open roles span San Francisco and remote United States (specific policies not detailed, but many roles list SF or US locations).
- **Growth**: Rapidly scaling (105% headcount growth) with ample opportunities to shape products and processes.

## Sources
1. [verse.inc – Homepage](https://verse.inc/)
2. [verse.inc – About Us](https://verse.inc/about-verse/)
3. [verse.inc – Careers](https://verse.inc/company/careers)
4. [LinkedIn – Verse Company Page](https://www.linkedin.com/company/versedotinc)
5. [Greenhouse – Verse Job Board](https://job-boards.greenhouse.io/verse/jobs/5174829008)

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