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hirly last saw it live on 13 September 2026. See similar open roles below, or browse all Product Manager jobs in San Francisco.

Prophecysimpledatalabs

Senior AI Product Manager

San Francisco, California, United States

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hirly's read of this role

Role family
Product management
Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
12 Sept 2026

Derived automatically from the posting.

the posting

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.

Original posting on Prophecysimpledatalabs's site ↗

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