Technical Product Manager – Data Center Energy Software.

Elpho; United States; Ibrido; USD 90.000 - 130.000; Tempo pieno

Descrizione del lavoro

Elpho is seeking a hands-on product manager to own delivery for an EMS/PMS data center product line. You will write crisp requirements, maintain the backlog, and collaborate with engineering and QA to ensure clear acceptance criteria.

Hybrid role based near Atlanta, with remote options across the US. You will track SDLC, surface risks with data, define metrics, support deployment at data centers, and report weekly progress to senior PM.

Competenze

• 3–5 years in product management, product ownership, technical program management, or business analysis on software delivery.
• You can write a requirement an engineer can build from without a follow‑up meeting — this matters more than anything else on this list.
• Working fluency in SDLC mechanics — sprints, branching, QA cycles, environment promotion, release trains; you can read a burndown and a ticket queue and tell what is actually true.
• Comfortable in technical conversation about APIs, databases, data pipelines, and time‑series telemetry — you do not need to write code, but you need to ask the right question in a design review.
• Exceptional written communication — specs and updates people actually read.
• Comfortable in a formation‑stage organization: ambiguity, speed, and senior visibility.
• The judgment to elevate a slipping dependency early rather than hope it recovers.

Mansioni

• Requirements — write crisp product requirements and acceptance criteria for well‑defined features, directly with engineers and QA
• Sprint execution — maintain the backlog and run sprint ceremonies; keep tickets accurate enough that the burndown actually means something
• SDLC tracking — track development across engineering areas at sprint granularity; surface slips and dependencies early, with data, not status theater
• Documentation — own specifications, decision records, and release notes, and keep them current as scope moves
• Product metrics — instrument and report the KPIs that matter: alarm response performance, system availability, deployment velocity
• Deployment support — support UAT, commissioning readiness, and field‑feedback capture at data center deployment sites; help fold what the first production facility teaches us back into the backlog
• Reporting — assemble the weekly delivery update for the senior product manager and engineering leadership

Conoscenze

Product management

Requirements writing

SDLC knowledge

Technical conversation

Written communication

Ambiguity handling

Descrizione del lavoro

Own delivery execution for an EMS/PMS (Energy & Power Management System) product line built for AI-era data centers — the software that runs the power and energy backbone of live facilities: monitoring and managing power systems (BESS, switchgear, UPS, distribution, SCADA/edge) and optimizing energy across battery, grid, and HVAC load, with AI agents handling alarm response. The first data center deployment is going live now, with a multi-site fleet rollout behind it — your work lands in real facilities, on commissioning schedules, in front of site operators. You will work alongside the senior technical product manager, inside the engineering organization. Immediate need — we are hiring on an expedited timeline and can move from first call to offer in days. This is a hands‑on execution role: you keep the backlog honest, the requirements written, and the status real — so that when someone asks where a feature stands, the answer is a fact rather than an opinion. Full‑time hours (up to 160/month). Hybrid out of Atlanta preferred — fully remote anywhere in the US considered for the ideal candidate. Note: you do NOT need EMS, SCADA, or industrial‑controls experience — we have senior people to teach the data center domain. What we cannot teach is holding a complex program together, writing clearly under pressure, and telling someone a date is going to move before it moves.

What you'll do

• Requirements — write crisp product requirements and acceptance criteria for well‑defined features, directly with engineers and QA
• Sprint execution — maintain the backlog and run sprint ceremonies; keep tickets accurate enough that the burndown actually means something
• SDLC tracking — track development across engineering areas (optimization, data platform, SCADA/edge) at sprint granularity; surface slips and dependencies early, with data, not status theater
• Documentation — own specifications, decision records, and release notes, and keep them current as scope moves
• Product metrics — instrument and report the KPIs that matter: alarm response performance, system availability, deployment velocity
• Deployment support — support UAT, commissioning readiness, and field‑feedback capture at data center deployment sites; help fold what the first production facility teaches us back into the backlog
• Reporting — assemble the weekly delivery update for the senior product manager and engineering leadership

What we're looking for

• 3–5 years in product management, product ownership, technical program management, or business analysis on software delivery
• You can write a requirement an engineer can build from without a follow‑up meeting — this matters more than anything else on this list
• Working fluency in SDLC mechanics — sprints, branching, QA cycles, environment promotion, release trains; you can read a burndown and a ticket queue and tell what is actually true
• Comfortable in technical conversation about APIs, databases, data pipelines, and time‑series telemetry — you do not need to write code, but you need to ask the right question in a design review
• Exceptional written communication — specs and updates people actually read
• Comfortable in a formation‑stage organization: ambiguity, speed, and senior visibility
• The judgment to elevate a slipping dependency early rather than hope it recovers

Nice to have

• Exposure to data centers or critical facilities — or adjacent physical‑world software: energy systems, industrial controls/SCADA, IoT/edge, utilities, manufacturing
• Battery storage (BESS), grid services and demand response, or building‑systems (HVAC) optimization
• Exposure to AI or agentic product features, and what it takes to productionize them