Product Manager, Prophecy.io
AI-Driven Data Management
Low code data engineering
Be an early applicant
Low code data engineering
101-200 employees
Be an early applicant
101-200 employees
Company mission
To democratize the development and deployment of high-quality data pipelines.
Role
Who you are
- 5+ years in product management with ownership over technical SaaS or data infrastructure products
- Prior experience as a software engineer and engineering manager/lead
- Deep understanding of cloud data platforms (Databricks, BigQuery, Snowflake) and RDBMS (PostgreSQL, Oracle, SQL Server)
- Experience designing front-end experiences, collaborating with designers using Figma, and validating UI with real users
- Familiarity with agentic AI tools and concepts; ability to translate AI opportunities into practical features
- Proven ability to build horizontal products that serve cross-functional data users in large enterprises
- Strong communication skills with both technical teams and executive stakeholders
Desirable
- Experience with data transformation, governance, and pipeline management platforms
- Knowledge of enterprise AI adoption and analytics workflows
- Passion for enabling diverse user roles (from data engineers to business analysts) to collaborate in governed environments
What the job involves
- We’re seeking a seasoned Product Manager to drive innovation in our platform, expanding Prophecy’s capabilities in agentic AI, self-service data transformation, and governed cloud-native data engineering. You’ll work across back-end and front-end domains, shaping experiences for both highly technical users and business data experts
- This role is perfect for someone who’s been both a software engineer and engineering leader, and who thrives in cross-functional environments developing horizontal data management products at scale
- Define and drive product strategy for new Prophecy capabilities, focusing on AI-native self-service and enterprise-grade governance
- Own the product lifecycle: ideation, specification, design, development, go-to-market, and iteration
- Collaborate closely with engineering and design teams; leverage Figma for UI design and feedback cycles
- Engage deeply with customers to understand technical challenges across data platforms and build customer-centric solutions
- Drive product-led growth for both technical and non-technical users on platforms like Databricks, Snowflake, and BigQuery
- Ensure tight integration with enterprise RDBMS systems (Oracle, SQL Server, PostgreSQL) as part of modernization strategies
Our take
Some reports suggest that data engineers can spend as little as 20% of their time actually analysing data - the rest is spent on administrative tasks like data cleaning and organization. It’s an issue that legacy data management systems are struggling to help enterprises stay on top of, according to Prophecy.
Prophecy has developed a data engineering platform that offers a low-code environment that runs in parallel to the code editor, meaning both analysts and engineers can easily toggle back and forth and collaborate on projects. The company also offers a compiler to help companies move their data pipelines onto the cloud.
This means that Prophecy’s offering straddles two rapidly accelerating trends that could see the company win big business. Firstly, there's an increasing number of companies looking to migrate to the cloud without the astronomical costs and risks that doing so independently can bring. Secondly, the rise of low/no-code is driven by the high demand for (and general shortage of) developer talent. It’s helped the company onboard some key enterprise customers already, so with healthy funding under its belt, Prophecy is making confident first steps.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Jan 2025
$47m
SERIES B
Oct 2023
$35m
SERIES B
Total funding: $116.5m
Company benefits
- We provide Platinum (Blue Shield 90 PPO) healthcare for you and your family that is paid 100% by Prophecy
- There is flexible time off
- Our office is comfortable, with easy parking and everyone gets a standing desk
- California Avenue in Palo Alto is walkable from the office and provides excellent lunch options
- Equinox gym is walkable from the office and your membership is paid by us
Company HQ
Core-Columbia, San Diego, CA
Leadership
Raj Bains
(Co-Founder & CEO)Worked as a Software Developer / Engineer with Microsoft and NVIDIA, then moved into senior engineering roles at RMS and Viome, and senior product roles at Clustrix and Hortonworks.
Rohit Bakhshi
(Co-Founder & Advisor)Has worked as a Development Lead with Accenture Interactive, then consulted with them on R&D. Subsequently worked on product development for Hortonworks, Meteor Development Group, and Confluent. Also served as the Web Chair for the VLAB Executive Team at MIT/Stanford Venture Lab.
Maciej Szpakowski
(Co-Founder)Previously worked as a software engineer both freelance, and with Lumina Learning. Went on to co-found Researchably.
Vika Smarwaha
(Co-Founder)Previously worked in sales at Satyam Computers Services and HP, before leading sales at Headstrong, then serving as GM at Wipro.
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