Product Manager - AI Agent Platform, Technical Product Manager
About the job
- Four to eight years of experience in technical product management, data engineering, or artificial-intelligence-powered product development.
- A strong coding foundation in Python, SQL, or JavaScript, with the ability to read and write production-level code.
- Experience in data pipeline, extract-transform-load, or artificial intelligence orchestration environments such as Snowflake, dbt, Airflow, or Dagster.
- Demonstrated experience working with enterprise clients and managing end-to-end technical delivery.
- The ability to structure ambiguity into clear requirements, specifications, timelines, and measurable impact.
- Excellent written and verbal communication, with the ability to convey complex technical concepts to engineers and executives.
- Proven experience leading cross-functional teams in startup-speed conditions.
- Define and own the roadmap for the multi-agent platform and its integration with enterprise resource planning, customer relationship management, and data-warehouse ecosystems.
- Translate customer problems into detailed product specifications covering application programming interfaces, workflows, agent behaviors, user-interface and user-experience flows, and orchestration logic.
- Act as the technical bridge between customers, engineers, and researchers to ensure clarity, delivery, and continuous improvement.
- Lead and coordinate forward-deployed engineering pods delivering client solutions, ensuring timelines, scope, and quality.
- Manage the backlog, sprints, and cross-functional execution across artificial intelligence, backend, and data teams.
- Define success metrics, including latency, accuracy, cost per job, and automation coverage, and drive iterative improvements.
- Partner with leadership on go-to-market strategy, pricing, and product packaging for enterprise clients.
- Monitor developments in large language models, LangGraph, dbt, Dagster, and Snowflake Tasks and Streams to guide roadmap evolution.
- Experience with LangChain, LangGraph, or the OpenAI Assistants application programming interface.
- Prior work in enterprise automation, enterprise resource planning integration, or agentic systems.
- A background in machine learning, data engineering, or software architecture.
- Prior startup or early-stage experience, especially in technical founder or product management roles.
About the company
Turgon AI is an AI-native system integrator that helps enterprises modernize IT and data infrastructure. It uses an agentic platform where specialized AI agents work with human experts to design, build, and continuously update data systems, enabling data migration, system consolidation and integration, data governance, and analytics acceleration. This human-in-the-loop approach bridges accuracy gaps and automates workflows, delivering faster project delivery and lower costs than traditional methods. The company differentiates itself with its AI agent pod and partnerships, such as the DynPro alliance, to tackle large-scale modernizations across industries like logistics, hospitality, finance, and retail.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
San Francisco, California
Founded
2024
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Simplify's Take
What believers are saying
- DynPro and Turgon announced 6-12 week modernization cycles in February 2026.
- Turgon reported 2025 backing from CIV, Founder Collective, and Slow Ventures.
- Hiring for sales, engineering, and delivery roles signals active customer demand and expansion.
What critics are saying
- Turgon AI remains a 2024 startup; one partnership and limited public traction prove little.
- DynPro can absorb the best parts of Turgon's workflow, commoditizing the startup by 2027.
- Enterprise modernization buyers distrust autonomous agents after a failed migration can destroy a career.
What makes Turgon AI unique
- Turgon AI pitches AI-native system integration, pairing agents with human experts.
- Its February 2026 DynPro partnership adds implementation depth and enterprise credibility.
- San Francisco and Delhi operations support 24-hour delivery across modernization projects.
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Benefits
Company Equity
Hybrid Work Options