---
title: 'Deployed Engineer at Paradigm'
canonical: 'https://feeny.ai/job/deployed-engineer-paradigm-san-francisco-e3xbab3hqn4e'
type: 'job'
last_seen: '2026-09-05'
---

# Deployed Engineer at Paradigm

- **Company:** Paradigm
- **Location:** San Francisco, CA
- **Compensation:** $180k–$280k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-24
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/paradigmai/eec347cc-2605-4346-bbf2-bb8bdf07b574

## Job description

## About Paradigm

Paradigm is a new type of spreadsheet for automating manual research with agents. We are based in San Francisco and are backed by ~$10M from General Catalyst, Y Combinator, and some of the best builders and operators in technology, including the founders of Ramp, Dropbox, and more.

Our team is small and talent-dense. We are serial builders who have worked and studied at Google, Databricks, Penn, Bridgewater, and more.

The spreadsheet interface is just the beginning. Our mission is to build a new type of agent-centric workspace that massively increases the productivity of knowledge workers. If you want to work on frontier AI systems that tackle meaningful real-world challenges and push the boundaries of what intelligent software can do, apply to join us.

## About the Role

At Paradigm, some of our hardest and most important engineering problems begin with a customer.

Deployed Engineers work directly with our customers to identify high-value workflows, understand their data and systems, and turn those workflows into production AI agents on Paradigm.

You might spend one week working with an investment firm to automate diligence across thousands of companies and the next building a workflow that connects a customer’s CRM, internal documents, and external data sources to continuously surface new opportunities.

You’ll operate at the intersection of engineering, product, and our customers. You’ll prototype solutions, build integrations, configure and deploy agents, debug failures, and help customers move from an initial use case to organization-wide adoption.

This is not a traditional solutions engineering role. We expect Deployed Engineers to build. You’ll have the autonomy to solve customer problems directly and the responsibility to bring what you learn back into the core product.

In this role, you will:

- Own the technical customer lifecycle, from deployment through production adoption and expansion, making sure our customers are successful with Paradigm
- Work directly with customers to understand how their teams operate and identify the highest-leverage workflows for Paradigm
- Design and deploy AI agents that combine reasoning, web research, premium external data, and customers’ internal systems
- Build integrations into systems like CRMs, document stores, data warehouses, and internal APIs
- Debug agent behavior, data quality issues, integrations, and other problems that emerge in real-world deployments
- Build deep relationships with users and technical stakeholders, from analysts and operators to engineering leaders and executives
- Turn patterns you see across customers into product improvements and help shape Paradigm’s roadmap
- Drive customers from a successful first workflow to broad, repeatable adoption across their organization

Requirements for the role:

- Strong engineering foundation from a rigorous technical environment
- Demonstrated track record of exceptional performance in whatever you’ve pursued, whether academic, professional, athletic, or entrepreneurial
- Experience writing and debugging production software
- Proficiency in at least one modern programming language
- Ability to quickly understand unfamiliar APIs, data models, and technical systems
- High tolerance for ambiguity, intensity, and sustained effort when the problem demands it
- Willingness to travel

You might excel if you…

- Love taking an ambiguous business problem and turning it into a working technical system
- Want to spend significant time with real users rather than building in isolation
- Are excited by LLMs, agents, data infrastructure, and the challenge of making them reliable in production
- Enjoy moving between writing code, debugging data, talking to customers, and thinking about product
- Get unusually excited when someone says, “We spend 20 hours a week doing this manually”

What we believe...

Our best work is done in person. The team works together 5 days a week in our office in SF.

## About Paradigm

## Company Overview
- **One-liner**: Paradigm is an AI platform that automates complex research workflows by deploying swarms of intelligent agents to gather, structure, and synthesize data with human-level accuracy.
- **Entity Type**: Private (Seed-stage)
- **Headquarters**: San Francisco, CA, USA
- **Founded**: 2023
- **Founders**: Claire Oxner and Anna Monaco (Anna Monaco is current CEO)

## Core Business
- **Primary industry**: AI-powered Research Automation / Enterprise Software
- **Target customers**: B2B – decision-makers, analysts, researchers in private equity, market research, sales, and operations
- **Mission or purpose statement**: “Build a new type of agent-centric workspace that massively unlocks productivity” [paradigmai.com](https://www.paradigmai.com/careers)

## Products & Services
- **[Paradigm Platform]**: An agentic research workspace where users define workflows in natural language, and swarms of AI agents autonomously gather, cross-reference, and structure data from internal and external sources. Outputs are delivered as structured, cited spreadsheets or actions (e.g., syncing back to CRM). Features include role-based access controls, enterprise security, and audit trails. [paradigmai.com](https://www.paradigmai.com/)
- **Workflows & Templates**: Pre-built workflows for deal sourcing, market mapping, target evaluation, portfolio monitoring, competitive analysis, candidate ranking, and lead qualification. [paradigmai.com](https://www.paradigmai.com/)
- **Integrations**: Connects to internal data (spreadsheets, docs, CRMs), built-in data sources, and custom APIs. [paradigmai.com](https://www.paradigmai.com/)

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company)
- **Key Metric**: Total Funding – $7M raised across 2 rounds (Seed round led by General Catalyst on Aug 18, 2025) [Tracxn](https://tracxn.com/d/companies/paradigm/__UVxTMvO_u2zk2mO5l2lDdAfm4AKb0Ge1c6tQ4Cur-o4)
- **Notable Investors/Partners**: General Catalyst, Y Combinator, Soma Capital, Pioneer Fund; angel investors include co-founders of Ramp and Dropbox [paradigmai.com](https://www.paradigmai.com/careers) [Tracxn](https://tracxn.com/d/companies/paradigm/__UVxTMvO_u2zk2mO5l2lDdAfm4AKb0Ge1c6tQ4Cur-o4)
- **Growth Signals**: 21 employees as of Apr 30, 2026; trusted by 10,000+ decision makers, analysts, and researchers; claims AI agents fill spreadsheets at 500 cells per minute [VentureBeat](https://venturebeat.com/) (Sep 2024); ranked 1st among 3 active competitors on Tracxn [Tracxn](https://tracxn.com/d/companies/paradigm/__UVxTMvO_u2zk2mO5l2lDdAfm4AKb0Ge1c6tQ4Cur-o4)

## Competitive Advantages
- **Agentic accuracy**: Built-in cross-referencing across multiple sources to reduce hallucination; auditable by design – every agent step is traceable [paradigmai.com](https://www.paradigmai.com/)
- **Speed and scale**: Runs workflows in parallel on 5 rows or 50,000, with cited outputs ready for decision-making.
- **Enterprise security**: Role-based access, no training on user data, audited and tested – designed for compliance-conscious buyers.
- **Founding team pedigree**: Founders from Google, MIT, Microsoft, Bridgewater, Vercel; backed by top-tier investors.

## Strategic Focus
- **Current priorities**: Scaling agentic research capabilities; expanding enterprise adoption (private equity, market research, sales); deepening integrations with internal data sources (Salesforce, CRMs); maintaining accuracy as the baseline while pushing the frontier of AI-driven automation.

## Why Work Here
- **Culture**: Small, talent-dense team (21 people) with builders from Google, MIT, Microsoft, Bridgewater, and Vercel. Emphasis on frontier AI systems and pushing boundaries of intelligent software.
- **Work policy**: In-office in San Francisco, CA (remote work not mentioned; jobs listed as “In-Office” or “In Person”) [Built In](https://builtin.com/company/paradigm-paradigmaicom)
- **Notable perks**: Opportunity to work on cutting-edge agentic AI; direct impact on product direction; fast-paced startup environment with strong investor backing.
- **Current openings** (as of mid-2026): Growth Generalist, Senior Software Engineer, Business Operations, Product Marketer.

## Sources
1. [paradigmai.com – Careers](https://www.paradigmai.com/careers)
2. [paradigmai.com – Product](https://www.paradigmai.com/)
3. [Built In – Paradigm Company Profile](https://builtin.com/company/paradigm-paradigmaicom)
4. [Tracxn – Paradigm Company Profile](https://tracxn.com/d/companies/paradigm/__UVxTMvO_u2zk2mO5l2lDdAfm4AKb0Ge1c6tQ4Cur-o4)
5. [VentureBeat – Paradigm AI agents fill spreadsheets at 500 cells per minute](https://venturebeat.com/) (Sep 2024)

## Other roles at Paradigm

- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-paradigm-san-francisco-18y8n8wgnbt5) — San Francisco, CA
- [Deployment Strategist](https://feeny.ai/job/deployment-strategist-paradigm-san-francisco-p6bgaw8qn4n2) — San Francisco, CA
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-paradigm-san-francisco-z06jzmdcebtx) — San Francisco, CA
- [Software Engineer](https://feeny.ai/job/software-engineer-paradigm-san-francisco-stkphne0n0st) — San Francisco, CA
- [Business Operations](https://feeny.ai/job/business-operations-paradigm-san-francisco-rkw8d9vqmxb9) — San Francisco, CA
- [Product Marketer](https://feeny.ai/job/product-marketer-paradigm-san-francisco-nmwa839g195d) — San Francisco, CA
- [Growth Generalist](https://feeny.ai/job/growth-generalist-paradigm-san-francisco-t0x2w98as56e) — San Francisco, CA
- [Deployed Engineer](https://feeny.ai/job/deployed-engineer-parallel-web-systems-san-francisco-z0v43v9vv4hg) — San Francisco, CA / Palo Alto, CA
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