Senior Product Manager

ProphecySan Francisco, CA
6h$175,000 - $220,000Hybrid

About The Position

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.

Requirements

  • 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

Nice To Haves

  • Expertise in building and managing Knowledge Graphs, including entity extraction, linkage, and ontology design.
  • Experience integrating Knowledge Graph with AI systems for retrieval, reasoning, and agent context (e.g., enriching with LLM).
  • ML/LLM work in code generation (e.g., Codex, text-to-SQL), semantic extraction, or knowledge graphs (e.g., Neo4j, Neptune).
  • Experience with big-data engines like Spark.
  • Compiler development for languages like SQL, Python, or Scala.
  • Optimization of ML models for low-latency, high-throughput production use.
  • Contributions to open-source AI/ML projects (e.g., Hugging Face, PyTorch).
  • Expertise in retrieval systems or vector databases (e.g., Pinecone, Weaviate).
  • Skill in evaluating tech and driving build/buy decisions
  • 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
  • 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

Responsibilities

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

Benefits

  • 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
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