---
title: 'Senior AI Product Manager at Prophecy'
canonical: 'https://feeny.ai/job/senior-ai-product-manager-prophecy-san-francisco-california-nnrambzvsnsa'
type: 'job'
last_seen: '2026-09-04'
---

# Senior AI Product Manager at Prophecy

- **Company:** Prophecy
- **Location:** San Francisco California, United States
- **Posted:** 2026-09-03
- **Last confirmed live:** 2026-09-04
- **Apply:** https://job-boards.greenhouse.io/prophecysimpledatalabs/jobs/5227866007

## Job description

## About Prophecy

Prophecy is building the next generation of AI-powered Data Prep and Analytics. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.

## Why This Role Exists

We are building an AI-native data platform that sits at the intersection of data infrastructure, analytics, and intelligent systems.

We are looking for a Senior Product Manager who operates like a builder and owner, not just a planner, but someone who:

- Thinks in terms of the full data → insights → decisions → actions lifecycle
- Uses AI tools and prototyping to explore ideas before formalizing them
- Balances deep customer understanding with strong technical intuition
- Drives products from concept to production with high ownership and velocity

You will own a product area end-to-end and play a critical role in shaping how analysts interact with data in modern enterprise environments.

## What You’ll Do

Product Strategy & Ownership

- Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals
- Translate product vision into clear initiatives and priorities aligned with Prophecy’s broader strategy
- Evaluate opportunities based on impact, effort, and strategic fit, making thoughtful trade-offs
- Think beyond features to systems: how do capabilities fit into the broader data and analytics ecosystem

Customer Insight & Discovery

- Develop deep understanding of analyst workflows across data preparation, transformation, and analysis
- Run continuous discovery through customer interviews, product usage data, sales and support signals, and win/loss analysis
- Frame problems clearly before jumping to solutions
- Understand enterprise constraints including governance, compliance, and operational complexity

AI-Native Product Development

- Use AI tools (LLMs, copilots, workflows) as a core part of product development, not an afterthought
- Build lightweight prototypes (prompts, workflows, internal tools) to validate ideas before writing full specifications
- Identify where AI-driven capabilities and automation can meaningfully improve user workflows
- Ensure AI features are reliable, explainable, and aligned with enterprise requirements

Product Development & Execution

- Work closely with engineering and design to deliver high-quality product capabilities
- Write clear, structured product specifications grounded in data and user insight
- Define success metrics and track adoption, impact, and effectiveness
- Monitor execution progress, identify risks early, and drive cross-team alignment
- Maintain a high bar for usability, reliability, and product integrity

Cross-Functional Leadership

- Align engineering, design, sales, and customer success around shared outcomes
- Communicate product direction through clear documentation and structured decision-making
- Resolve ambiguity and misalignment quickly to maintain execution momentum
- Contribute to product positioning and narrative through artifacts such as one-pagers, demos, and customer-facing materials

Operational Ownership

- Own the operational health of your product area, including performance monitoring, feature adoption, issue triage, and iteration cycles
- Establish and improve repeatable processes that increase execution speed and predictability

## Who You Are

Required

- 5+ years of product management experience in data platforms, analytics products, developer tools, or enterprise software
- Strong understanding of data preparation, analytics workflows, and modern data infrastructure
- Experience working closely with engineering teams to deliver technical products
- Hands-on familiarity with AI-powered products or intelligent systems
- Ability to translate complex problems into clear, actionable product specifications
- Experience working with APIs, SDKs, CLIs, or other developer-facing systems
- Strong written and verbal communication skills

## Preferred

- Experience operating in a high-growth startup environment (Series A–C)
- Comfortable using AI tools (LLMs, copilots) to accelerate your own workflow and product thinking
- Ability to prototype ideas, e.g. prompts, workflows, lightweight tools to validate concepts quickly
- Familiarity with technologies such as Spark, SQL, data warehouses, ETL/ELT pipelines, or orchestration systems
- Experience working with enterprise customers and complex data environments
- Ability to interpret product analytics and customer signals to guide decisions

Strongly Preferred

- Experience shipping AI/ML-powered capabilities in data or analytics products
- Deep familiarity with the modern data ecosystem, e.g. Snowflake, Databricks, BigQuery
- Experience building products for regulated industries, e.g. finance, healthcare, pharma with requirements around governance, lineage, and compliance
- Experience navigating enterprise sales cycles and deployment constraints

## How You Work

- You operate with a sense of end-to-end ownership and accountability
- You are comfortable with ambiguity and move quickly to create clarity
- You combine product intuition with data-driven decision making
- You use tools including AI to increase leverage and speed
- You care deeply about building products that deliver real, measurable outcomes for customers

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week.

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates.

## Benefits and Perks

- Prophecy covers 99% of employee health insurance premiums and 75% for dependents
- We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
- Flexible PTO
- Professional development allowance
- Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
- Ability to have your fingerprint on an innovative platform
- End-to-end ownership of your projects.

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

## 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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