Teserac is building neuron™, a unified AI-native platform for data center observability, intelligence, and workflow automation. neuron™ processes real-time telemetry from thousands of sensors, meters, and control systems across heterogeneous data center environments, thereby giving infrastructure owners and operators the visibility to monitor, analyze, automate, and proactively manage power operations with full situational awareness. An embedded AI teammate serves as every operator's always-on co-pilot: detecting anomalies, correlating events, and surfacing recommendations 24/7.
We are seeking a Technical Product Owner to sit at the center of Teserac’s product execution engine. This role sits between customer-facing Solutions Engineering and the engineering team, partnering closely with the Principal Architect and reporting to the Senior Director of Product Management in a flat org structure. You will translate customer requirements and technical discovery into structured, engineering-ready specifications; own the product and engineering backlog in Linear; run daily standups and agile rituals; and drive delivery velocity and release predictability.
This role also carries direct responsibility for the planning and successful execution of API integrations with third-party systems of record and systems of action (e.g., BMS, DCIM, telemetry platforms, monitoring tools, and related enterprise systems). You will help move Teserac from bespoke pilot builds to repeatable, scalable product delivery while strengthening our execution discipline.
Why Teserac
At Teserac you will be able to:
Make foundational decisions that will define Teserac’s product development lifecycle for years to come.
Work on a rare combination of AI, real-time systems, and physical infrastructure.
Join a team with deep domain expertise in both battery/energy systems and software.
Receive competitive compensation with significant equity upside at a high-growth Series A company.
Why You Would Be a Good Fit
You are technically fluent and comfortable reading architecture diagrams, data flows, APIs, and system integrations.
You bring structure to ambiguity and can convert loosely defined customer needs into clear, engineering-ready specifications.
You are execution-oriented and care deeply about delivery velocity, accountability, and release predictability.
You are comfortable leading agile rituals (standups, sprint planning, retros, release readiness) and driving team accountability in an early-stage environment.
You thrive in AI-first development environments and actively use tools like Cursor and Claude Code as part of your daily workflow.
You want to continuously evolve how teams build software by adopting the latest AI tooling and development practices.
You are eager to optimize and evolve our use of Linear from improving how we review requirements, structure issues, to prioritizing work while planning 3 to 4 sprints ahead.
You want to influence decisions on tools and processes that increase engineering efficiency—and you live inside these tools every day.
A prior background in software development is a strong advantage, especially if you have written production code in prior roles.
You can challenge both engineering and customer-facing teams constructively to protect product integrity and scalability.
8+ years of product management, technical product ownership, or equivalent technical leadership experience
Demonstrated experience translating complex technical requirements into structured, engineering-ready specifications
Experience working closely with senior engineers and architects in production environments
Strong understanding of software development lifecycles and release management
Experience running agile or scrum rituals and driving sprint discipline
Experience managing and coordinating API integrations with third-party systems
Ability to plan 3 to 4 sprints ahead and drive predictable delivery
Experience managing backlogs in Linear, Jira, or similar tools
Strong communication and stakeholder management skills
Comfort operating in early-stage, high-ambiguity environments
Preferred Qualifications
Prior background in software engineering or hands-on technical development
Experience in infrastructure software, DevOps, distributed systems, or real-time systems
Direct experience in the data center industry or network service provider industry
Strong understanding of how data centers operate, including power systems, BMS, DCIM, telemetry, monitoring, and operational workflows
Experience working with systems of record and systems of action used by data center operations teams
Exposure to AI-enabled or agent-based systems
Experience in hardware-software integrated environments
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