---
title: 'Enterprise Customer Success Manager at Prophecy'
canonical: 'https://feeny.ai/job/enterprise-customer-success-manager-prophecy-united-states-rf8wabgf6bkf'
type: 'job'
last_seen: '2026-09-11'
---

# Enterprise Customer Success Manager at Prophecy

- **Company:** Prophecy
- **Location:** United States
- **Work type:** remote
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/prophecysimpledatalabs/jobs/5230427007

## Job description

## About Prophecy

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry-leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform, and prepare data to ship trusted insights at enterprise scale. Join us as we build the next data revolution.

## About the Role

The Enterprise Customer Success Manager (CSM) is a critical, relationship-focused role centered on technical adoption and value realization within Prophecy's customer base. The CSM is the primary post-sale orchestrator responsible for ensuring that technical stakeholders realize the measurable productivity gains promised during the sales cycle. This role requires a hybrid profile: a technical data expert, a proactive project manager, and a trusted advisor for data teams.

You Will

- Drive Adoption, Value Realization and Renewal: Partner with customers to transition from "closed-won" to high-volume production. Own the technical success charter, ensuring teams leverage Prophecy’s AI-native agents and visual ETL tools to modernize their data pipelines and ultimately leading to the customer renewing.
- Monitor Technical Health and Risk: Proactively track account health through adoption metrics and technical milestones. Identify "stalled adoption" or technical friction early, leading structured discovery and cross-functional mitigation efforts to prevent churn.
- Deliver Consultative Value Reviews: Collaborate with Account Managers on Quarterly Business Reviews (QBRs). You present the "Value Realized"—detailing specific use cases completed, efficiency gains for data engineers, and alignment with the customer's technology roadmap.
- Orchestrate Cross-Functional Success: Act as the primary technical point of contact, coordinating with Solutions Engineering, Product Management, and Professional Services to resolve complex data engineering problems and drive platform foundations.
- Voice of the Customer: Translate field-level feedback into actionable insights for our Engineering teams. Drive the customer's long-term technical vision by ensuring their requirements influence Prophecy’s AI-driven product roadmap.

## Qualifications

- Proven Technical Experience: 5+ years in Customer Success, or Account Management in B2B SaaS, with a focus on the modern data stack (SQL, ETL, Databricks/Spark, Snowflake, or cloud data warehousing).
- Strategic Relationship Management: Demonstrated success navigating the complexities of Fortune 250 enterprise accounts, working with C-level executives (CIOs, CDOs) and technical leaders (Data Engineering, AI/ML teams).
- Consultative Communication: Exceptional skills in building consensus across diverse stakeholder groups and the ability to translate technical complexity into business outcomes.
- Willingness to Travel: Up to 30% as required to visit key customers and deepen strategic partnerships on-site.

## Benefits and Perks

- Employee health insurance
- Very competitive compensation
- Ability to have your fingerprint on an innovative platform
- End-to-end ownership of your projects
- And more!

*Benefits and perks may vary per country

Our Commitment to Diversity and Inclusion

At Prophecy, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Prophecy are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, political affiliation, race, religion, sexual orientation, socio-economic status, and any other protected characteristics.

Your submission of this information is governed by our privacy policy and our use thereof.

## About Prophecy

## Company Overview
- **One-liner**: Prophecy is an AI-powered data preparation and analysis platform that lets business teams describe data needs in natural language and automatically generates production-ready visual data workflows.
- **Entity Type**: Private (funding stage not publicly disclosed)
- **Headquarters**: Palo Alto, California, United States
- **Founded**: 2017
- **Founders**: Raj Bains (CEO), Vikas Marwaha, Maciej Szpakowski

## Core Business
- **Primary industry**: AI data preparation and analysis, cloud-native data engineering
- **Target customers**: B2B enterprise — Fortune 500 companies in finance, healthcare, retail, and technology; business data teams and analysts
- **Mission**: “Make insights faster, more reliable, and accessible to everyone” by uniting AI, simplicity, and powerful systems so every team can build, refine, and share data together.

## Products & Services
- **[Prophecy Platform – Agentic Data Prep & Analysis](https://www.prophecy.ai/)**: A SaaS platform that uses AI agents (powered by Claude Code) to automatically generate visual data workflows from plain‑English descriptions. Users inspect, refine, and validate the logic, then deploy as high‑performance code on Databricks, Snowflake, or BigQuery. Supports both standalone use and native deployment on existing cloud data platforms. Offers a free Professional tier and an Express tier with onboarding support.

## Market Standing
- **Valuation / Market Cap**: Not publicly available
- **Key Metric**: Total funding not disclosed; annual revenue not publicly available
- **Notable Investors / Partners**: Board members include Ilya Kirnos, George Mathew, Burke Norton, Kai Yang, Elena Zislin (specific investment firms not listed). Trusted by leading enterprises including HSBC, JP Morgan, Microsoft, Amgen, ClearWater, SAP, Ralph Lauren, Deutsche Telekom, Marks & Spencer, and Toyota.
- **Growth Signals**: 173 employees (LinkedIn, as of mid‑2026); 13 active job postings (+225% quarterly); 32,189 LinkedIn followers (+1.9% monthly). Offices in Palo Alto (HQ), Bengaluru, and Gurgaon.

## Competitive Advantages
- **AI‑first approach**: Specialized AI agents that understand data context and generate pipelines from natural language, reducing manual engineering from hours to minutes.
- **Cloud‑native, no vendor lock‑in**: Runs natively on Databricks, Snowflake, and BigQuery; produces open, production‑grade code that stays under the customer’s governance.
- **Human‑in‑the‑loop validation**: Visual workflows allow business users to inspect and refine every step, building trust and ensuring accuracy.
- **Enterprise‑grade**: Role‑based access control, audit logging, compliance certifications, and dedicated support.

## Strategic Focus
- **Democratizing data work**: Shifting data preparation and analysis from specialist engineers to business users, enabling self‑service analytics.
- **AI‑driven data lifecycle**: Expanding the “generate → refine → deploy” loop with multi‑modal collaboration (text, visual, code).
- **Deep platform integrations**: Continuing to build native support for major cloud data platforms and expanding enterprise partnerships.

## Why Work Here
- **Culture**: Described as “fast‑moving,” “curious builders and bold thinkers,” with values of respect, ownership, humility, and innovation. Emphasis on customer impact and growing together.
- **Work policy**: Hybrid in San Francisco (HQ); remote options for some roles (e.g., Senior Product Manager – Structured Finance, Director Strategic Partnerships). Engineering roles available in Bengaluru and Gurgaon.
- **Engineering culture**: Work on AI agents, distributed systems, and visual design tools. Opportunities to shape the future of data workflows and collaborate with a diverse, cross‑continental team.
- **Notable perks**: Not explicitly listed, but the company offers free Professional tier for individuals and a 90‑day onboarding program (Prophecy Express) for organizations.

## Sources
1. [Prophecy AI – Homepage](https://www.prophecy.ai/)
2. [Prophecy AI – About Page](https://www.prophecy.ai/about)
3. [Prophecy AI – Careers Page](https://www.prophecy.ai/careers)
4. [LinkedIn – Prophecy](https://www.linkedin.com/company/prophecy-ai)
5. [Greenhouse Job Board – Prophecy](https://job-boards.greenhouse.io/prophecysimpledatalabs/jobs/5118369007)

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