Careers

Berlin (Hybrid / On-site)   |   Full-time   |  PhD in engineering, math, or computer science   |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

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The Role
‍We are looking for a Controls & Forecasting Engineer to own the intelligence core of the Loadwise platform.

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This is a rare role. Very few engineers sit at the intersection of applied ML and real-time control systems. You will build both the predictive models that anticipate what the energy system will do next, and the control logic that acts on those predictions in real time. In practice, this means:

• Designing time-series forecasting pipelines for energy prices, CO2 intensity, thermal dynamics, and compute load
• Translating those forecasts into model predictive control systems that optimize dispatch of energy assets across live data center environments
• Building and operating dispatch logic for energy assets, such as BESS, backup power, cooling systems, and compute workloads, where a wrong decision has real physical consequences

As one of the first six people building Loadwise, you will work directly with the founding team across the full lifecycle: from algorithm design through simulation, production deployment, and live iteration. You will also be a direct technical contact when engaging with data center operators and grid-side teams to validate signal quality and control decisions. There is no handoff culture here. You own it end to end.

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What the first six months look like: You have forecasting models running in production for at least two energy signals with tracked accuracy metrics. A control loop is live against at least one real asset, with simulation coverage and a clear rollback path. Data ingestion pipelines are reliable enough that you are iterating on model quality, not debugging feeds. You have shipped to a real data center environment, not just a sandbox.

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The core of this role is well-defined. What happens beyond it is up to you.

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What You'll Work On
Forecasting & System Signals

• Energy price, thermal, and load forecasts run reliably in production, with tracked accuracy, clean data pipelines, and evaluation frameworks that surface drift before it becomes a problem
• Model versioning, rollback, and observability are first-class concerns, not afterthoughts: you own the full lifecycle from ingestion to deployed service
• The data layer (market APIs, weather feeds, grid operator signals) is yours to keep valid, well-monitored, and ready for the control stack to consume

Optimization & Control

• Control logic translates forecasts into real-time dispatch decisions across energy assets, physical constraints, and SLA requirements reliably in live environments
• Simulation environments give you confidence before anything touches live infrastructure; closed-loop feedback and anomaly detection give you visibility once it does
• Instrument forecasting and control systems with metrics, logging, and alerting; define and track KPIs
• Fallback modes, safe degradation paths, and fault handling are designed upfront, not retrofitted after the first production incident

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What We're Looking For

You likely come from a background in applied optimization, control systems, energy system modeling, or time-series ML. More importantly, you are comfortable being accountable for decisions that affect physical infrastructure, not just model outputs.

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Modeling & Forecasting
Experience in one or more of the following:

• Time-series forecasting: ARIMA, ETS, gradient boosting, transformer-based approaches
• Model evaluation: backtesting, cross-validation, uncertainty quantification
• Deploying models as production APIs or services

Control Systems & Optimization
Experience in one or more of the following:

• Model predictive control, rule-based control, or optimal dispatch in real or simulated environments
• Mathematical programming or operations research
• Understanding of physical system dynamics: thermal, electrical, or mechanical

Software Engineering

• Strong Python and scientific computing skills
• Ability to turn algorithms into production-grade services, not just prototypes
• You treat AI-assisted development tools (Cursor, Copilot, Claude Code) as genuine force multipliers and build accordingly

Domain & Collaboration

• Interest in energy systems, power markets, or data center infrastructure
• Ability to reason about physical constraints and real-world systems
• Comfortable communicating trade-offs, failure modes, and design assumptions clearly

Nice to Have

• Experience with containerized or Kubernetes-based environments and observability tooling
• Familiarity with VPPs, behind-the-meter asset control, or grid-edge systems

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What We Offer‍
Competitive Base & Meaningful Equity‍

We expect you to act like an owner, which means we offer an above-market compensation package for a seed-stage company: a strong base salary and equity stake.

‍

Relocation & Visa Support‍

We are building this in Berlin (Hybrid / On-site). If you are the right fit but not based here yet, we provide full visa sponsorship and relocation assistance to get you and your setup seamlessly moved.

‍

Your Setup‍

We cover licenses for Cursor, Copilot, and whatever else keeps you moving. Top-of-the-line hardware, no approval process.

‍

High Autonomy, Zero Bureaucracy‍

You won't be stuck in endless planning sessions. Instead, you will have the freedom to design, simulate, and deploy your work to live assets end to end.

‍

Our Process‍

We keep it lean. Three stages, no more than four weeks from first call to offer.

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Berlin (Hybrid / On-site)   |   Full-time   |   5+ years experience  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

‍

The Role
‍We are looking for an Energy Systems & Infrastructure Engineer to define how the Loadwise platform interfaces with the physical infrastructure of data centers.

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The incumbents (Schneider, Eaton, Vertiv and others) built excellent tools for a stable grid. That grid is gone. Data centers now operate in a world of volatile energy prices, grid flexibility demands, and AI-scale power loads. The existing tooling was not built for this. We are.

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Your world is the facility layer: cooling infrastructure, power distribution, UPS systems, BESS, redundancy architectures, DCIM platforms, and building management systems. You understand how these systems behave under real operating conditions, what data they expose, how they are controlled, and what it takes to operate them safely and reliably. You are not responsible for writing the backend integrations yourself. Instead, you define the architecture, constraints, and operational behavior that guide how integrations are built. Software engineers implement based on the specifications and system understanding you provide.

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As one of the first six people building Loadwise, you own this end to end. We value pragmatism: operational credibility is a product feature. An integration that works reliably in a live facility beats an elegant one that does not.

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What the first six months look like: Within your first six months, you have completed at least one live facility integration end to end: from initial system audit through to a signed-off onboarding playbook that a second engineer could follow without asking you questions. You know the quirks of at least two DCIM or BMS platforms in production, have documented the control constraints and safeguards for each, and the Integration & Backend Engineer considers your specs production-ready on first pass. You are the person the facility operators call when they have a question about system behavior.

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The core of this role is well-defined. What happens beyond it is up to you.

‍

What You'll Work On
Facility Systems Integration

• Define the integration architecture between Loadwise and core facility management platforms and automation controllers
• Specify which data points and telemetry streams are required from facility infrastructure
• Guide integration work through vendor-specific behavior, undocumented APIs, and real-world protocol quirks
• Work with the Integration & Backend Engineer to translate system understanding into clean integration specifications

Control Constraints & System Behavior

• Define how control signals from the Loadwise platform interact with physical infrastructure
• Specify which assets can be switched, modulated, or influenced by software and under what conditions
• Document operational constraints and safeguards required for safe operation
• Work closely with the Controls & Forecasting Engineer to ensure control strategies reflect the real behavior of facility systems

Product & Domain Alignment

• Translate operator feedback and infrastructure constraints into product requirements
• Help prioritize integrations and features based on deployment feasibility and operational impact
• Maintain awareness of vendor ecosystem developments across major facility hardware and management software

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What We're Looking For

‍You likely come from a background in data center infrastructure, building automation, industrial systems, or a technical product role in the facility or energy space.

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Facility Systems & Infrastructure

Relevant backgrounds include:

• data center facility engineering
• building management systems and building automation
• industrial automation or OT systems
• energy infrastructure platforms

Experience with the following is highly relevant:

• cooling architectures (CRAC, CRAH, free cooling, liquid cooling)
• UPS systems, BESS, and power distribution
• redundancy architectures and facility reliability concepts
• DCIM platforms or BMS systems used in operational environments

You should be comfortable reasoning about how physical infrastructure behaves in real-world operations, not just on diagrams.

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Integration & Technical Depth‍

• Exposure to industrial communication protocols such as BACnet, Modbus, MQTT, or OPC-UA
• Experience integrating physical assets, IoT systems, or facility infrastructure into software platforms
• Ability to read and reason about system diagrams, control sequences, and integration schematics
• Comfortable working with data in Python or SQL to validate telemetry and integration

Collaboration & Systems Thinking

• Comfortable engaging with facility operators, system integrators, and software engineers in the same conversation
• Curiosity about how physical infrastructure can become software-controllable and grid-responsive

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What We Offer‍
Competitive Base & Meaningful Equity‍

We expect you to act like an owner, which means we offer an above-market compensation package for a seed-stage company: a strong base salary and equity stake.

‍

Relocation & Visa Support‍

We are building this in Berlin (Hybrid / On-site). If you are the right fit but not based here yet, we provide full visa sponsorship and relocation assistance to get you and your setup seamlessly moved.

‍

Your Setup‍

Whether you need advanced LLMs to accelerate writing integration specs or to protocol analyzers, we cover the licenses that keep you moving fast. Top-of-the-line hardware, no approval process.

‍

High Autonomy, Zero Bureaucracy

You define the architecture and constraints, and you see the results in live facilities. You will have the freedom and responsibility to shape how physical infrastructure gets integrated into the platform end to end.

‍

Our Process‍

We keep it lean. Three stages, no more than four weeks from first call to offer.

Berlin (Hybrid / On-site)   |   Full-time   |   5+ years experience  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

‍

The Role

We are looking for a Platform & Integration Engineer to build the Loadwise platform. This is the core software engineering role on the team.

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Owning this platform end-to-end is a unique challenge. Very few engineers are comfortable spanning the full stack of a platform like this: raw protocol handling, data normalization, backend service architecture, and production observability - all in a domain where the data comes from physical infrastructure and the decisions affect real assets.

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As one of the first six people building Loadwise, you will design and operate everything that makes the platform run. Because there is no separate platform team, you have ultimate ownership over the ingestion layer, external connections, backend services, and production infrastructure. You will work closely with the Energy Systems Engineer (who defines facility interfaces) and the Controls Engineer (who builds forecasting and control logic). Your responsibility is building the platform layer that connects everything reliably. You will also be the technical point of contact when engaging with customer engineering teams, translating requirements directly into platform decisions.

What the first six months look like: By month six, the platform is ingesting live telemetry from pilot facilities via at least two industrial protocols, integrated with one external energy market signal feed, and serving a real-time backend API to the controls and forecasting stack. All services are fully instrumented with metrics, logging, and alerting. That technical foundation is what every subsequent feature builds on.

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The core of this role is well-defined. What happens beyond it is up to you.

‍

What You'll Work On
Protocol Adapters & Integrations

• Build and maintain protocol adapters connecting to physical facility infrastructure and building automation systems
• Connect to energy market APIs, grid operator signal feeds, and utility interfaces
• Build interfaces that provide real-time and forward-looking visibility into compute workload demand

Platform & Backend Services

• Build reliable data ingestion pipelines with validation, transformation, and storage
• Design and maintain backend APIs consumed by forecasting, control, and reporting services
• Implement data normalization and schema management across heterogeneous source systems
• Ensure pipelines handle reconnection, backfill, and partial failures gracefully

Reliability & Observability

• Instrument all services with metrics, logging, and alerting
• Define and track data freshness, completeness, and quality SLAs
• Own deployment, scaling, and operational runbooks for the platform

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What We're Looking For

‍You likely come from a background in backend engineering, systems integration, or data infrastructure.

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Backend Engineering & Systems

• Experience building backend services and data pipelines in production environments
• Our core stack is Python and TypeScript/JavaScript. We are looking for strong backend experience in either; Go also works. Comfort with distributed systems is expected
• Familiarity with event-driven architectures, message queues, or streaming systems (Kafka, NATS, or similar)

Infrastructure & Operations‍

• Comfort deploying and operating services in a Kubernetes-based environment
• Familiarity with observability tooling: Prometheus, Grafana, or similar
• Ability to design for fault tolerance, retry logic, and graceful degradation
• Familiarity with CI/CD pipelines and GitOps practices

Tools & Mindset

• You treat AI-assisted development tools (Cursor, Copilot, Claude Code, v0) as genuine force multipliers and build accordingly
• Comfortable operating as a senior individual contributor with broad ownership across the full stack
• Ability to navigate vendor documentation and proprietary system APIs
• Clear communicator across engineering, domain specialists, and founders

Nice to Have

• Exposure to IoT or industrial protocol integration (BACnet, Modbus, MQTT, OPC-UA). Prior experience is a plus, not a prerequisite; the protocols are learnable with the right engineering foundation
• Ability to build simple operator-facing dashboards (React, Vue, or similar) when needed
• Hands-on experience with specific DCIM or BMS vendors such as Schneider EcoStruxure, Siemens Desigo, or Nlyte
• Experience working with energy market APIs or grid operator interfaces

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What We Offer‍
Competitive Base & Meaningful Equity‍

We expect you to act like an owner, which means we offer an above-market compensation package for a seed-stage company: a strong base salary and equity stake.

‍

Relocation & Visa Support‍

We are building this in Berlin (Hybrid / On-site). If you are the right fit but not based here yet, we provide full visa sponsorship and relocation assistance to get you and your setup seamlessly moved.

‍

Your Setup‍

We cover licenses for Cursor, Copilot, and whatever else keeps you moving. Top-of-the-line hardware, no approval process.

‍

High Autonomy, Zero Bureaucracy

You own the platform end to end: from the first protocol adapter to production observability. You will have the freedom and responsibility to make architectural decisions that matter from day one.

‍

Our Process‍

We keep it lean. Three stages, no more than four weeks from first call to offer.

Berlin (Hybrid / On-site)   |   Full-time   |   4+ years experience  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

‍

The Role

We are looking for an Energy Markets & Grid Integration Lead to sit at the intersection of energy market expertise and technical platform ownership.

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This is a rare role. Very few people can navigate commercial energy markets, regulatory frameworks, and the technical plumbing of real-time signal integration at the same time. You will shape how Loadwise connects to, responds to, and ultimately influences the European energy market. Not just as a participant, but as a force that establishes data centers as a recognized, grid-flexible asset class.

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As one of the first six people building Loadwise, you will work directly with the founding team across both dimensions. This is not a commercial-only role and not a technical-only role. In practice, this means owning two distinct motions:

• The Commercial Side: Identifying and structuring data center participation in demand response programs, building relationships with TSOs, DSOs, and aggregators, and designing the commercial frameworks that let customers capture the full value the platform creates.
• The Technical Side: Defining how market signals connect to the Loadwise platform and how energy assets respond in real time. This includes direct work on API connectivity requirements, signal logic, and real-time response calibration.

We value pragmatism: the focus in the early phase will be on enabling participation in existing demand response programs with broader regulatory engagement and asset class development following as the platform scales.

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What the first six months look like: In your first six months, you have mapped and engaged in relevant European DR programs and identified which ones Loadwise customers participate in. You have built working relationships with TSOs or aggregators and have a clear picture of their technical and commercial requirements. The platform is receiving and correctly processing live market signal.

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The core of this role is well-defined. What happens beyond it is up to you.

‍

What You'll Work On

Energy Market & Grid Integration (Technical)

• Define how energy market signals (real-time signals, balancing market triggers, curtailment) connect to the Loadwise platform and translate into responses from energy assets and physical systems
• Own or co-own the API integrations with grid operators, aggregators, and flexibility platforms
• Calibrate real-time response logic together with the controls engineer: which signals trigger which actions, at what thresholds, under what constraints
• Define signal quality requirements and work with the integration engineer to ensure reliable, low-latency market signal ingestion

Demand Response & Flexibility Programs

• Identify, evaluate, and structure data center participation in European DR programs, such as balancing markets, flexibility aggregation schemes, and utility-driven load management programs
• Manage DR program enrollment processes: baseline methodologies, measurement and verification, reporting obligations
• Track market developments and new flexibility mechanisms relevant to large electricity consumers

Shaping the Asset Class

• Help establish data centers as a recognized flexibility asset in European energy markets
• Engage with regulators, TSOs, and industry bodies to influence how DR programs and flexibility frameworks are designed for HPC and AI infrastructure
• Represent Loadwise in technical and policy discussions with energy market counterparties

Customer Value & Commercial Frameworks

• Design and maintain ROI models and reporting frameworks used in customer conversations
• Support energy procurement discussions where Loadwise optimization can improve buying strategy

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What We're Looking For‍

You likely come from a background in energy markets, demand response, or grid flexibility.

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Energy Markets & Demand Response

• Experience with demand response programs, energy flexibility markets, or large consumer energy management in a European context
• Working knowledge of relevant regulatory frameworks (e.g., EnWG or EU electricity market design)

Technical Depth

• Genuine comfort with the technical plumbing: API connectivity, signal structures, real-time response logic
• Ability to work with energy data, interval meter readings, and settlement reports
• Enough technical depth to contribute to integration architecture discussions with software engineers

Commercial & Analytical Skills

• Experience structuring or supporting energy-related commercial agreements
• Strong written and verbal communication in both German and English

Collaboration & Mindset

• Comfortable operating at the interface of commercial, technical, and regulatory domains simultaneously
• Genuine conviction that demand and grid flexibility can accelerate the energy transition
• Ability to manage multiple customer and partner relationships in a fast-moving environment

‍

What We Offer‍
Competitive Base & Meaningful Equity‍

We expect you to act like an owner, which means we offer an above-market compensation package for a seed-stage company: a strong base salary and equity stake.

‍

Relocation & Visa Support‍

We are building this in Berlin (Hybrid / On-site). If you are the right fit but not based here yet, we provide full visa sponsorship and relocation assistance to get you and your setup seamlessly moved.

‍

Your Setup

‍Whether you need advanced LLMs to rapidly parse complex regulatory documents or draft API integration specs, we cover the licenses that keep you moving fast. Top-of-the-line hardware, no approval process.

‍

High Autonomy, Zero Bureaucracy

‍You own both the commercial and technical dimensions of energy market integration end to end. You will have the freedom and responsibility to define how the platform connects to European energy markets from the ground up.

‍

Our Process‍

We keep it lean. Three stages, no more than four weeks from first call to offer.

Berlin (Hybrid / On-site)   |   Full-time  |  Loadwise.ai

‍

‍About Loadwise

AI data centers are becoming one of the fastest-growing electricity consumers in history. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions.

‍

Loadwise builds software that allows data center infrastructure to respond intelligently to these energy signals. We connect data centers directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

‍

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy sources. To achieve that goal, we are backed and supported by top tier European energy and infrastructure VCs and business angels.

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The Role‍

We are looking for a Founders’ Associate to work directly with the founding team on the two things that matter most at this stage: winning early customers and keeping the company running while everything else is on fire.

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The core of the role is commercial: you will help build the company strategy, go-to-market approach, and drive the conversations we have with data center operators and energy market players. You will own projects end to end, not just support them.

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You will work directly with the founders, be present in the most important conversations, and have real influence over how Loadwise positions itself in the market. We value drive, curiosity, and people who care more about building something real than about what it says on their business card.

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The Founders’ Associate role is a launching pad. As Loadwise scales, this role has a natural trajectory to develop into a leadership position, such as Chief of Staff or commercial leadership role in the Go-to-Market team.

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What You'll Work On

Commercial & Go-to-Market

• Define and execute Loadwise’s commercial strategy, focused on data center operators and energy market players
• Track trends in AI compute, data center deployment models, and energy markets to inform positioning and outreach
• Drive the development of commercial materials and processes: pitch decks, case studies, pricing frameworks, deployment playbooks, and CRM setup

Strategy Projects and Founders’ Office

• Own strategic projects end to end: from initial research and stakeholder mapping to execution. An early example: set up a European demonstration project with data center operators, grid operators, and research institutions.
• Prepare board meetings, investor communication, financial models, and external speaking engagements
• Pick up what needs picking up and take full ownership of it when you do.

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What We're Looking For

Domain knowledge in energy or AI infrastructure is useful but not required. What matters more is that you are smart, reliable, and want to build something.

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Background

• Strong academic track record from a top business, economics, engineering, or natural sciences program
• Early career experience in a fast-moving tech company, startup, or consulting
• Experience building financial models and managing commercial processes
• Exposure to a technical or infrastructure business is a meaningful plus: clean-tech, energy, cloud, AI infrastructure

What Makes This Work

• You have a founder's mentality: You want to build something from scratch and see it work in the real world. You do what needs doing and you figure out what you don't yet know.
• You thrive in ambiguity: You can prioritize without being told what matters most.
• You write clearly: You prepare materials that do not need to be redone.
• You move fast and follow through: Things you own get done without reminders.
• You leverage tech: You treat AI tools as genuine productivity multipliers and use them to punch above your weight.
• You communicate clearly: Strong written and verbal communication in English. (Note: Conversational German is a strong plus for navigating local Berlin operations and vendors).

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What We Offer‍

• Competitive Base & Meaningful Equity: You are joining as one of the first people building Loadwise. We expect you to act like an owner, which means we offer a great compensation package for a pre-seed stage company: a strong base salary and equity stake.
• High Autonomy, Zero Bureaucracy: You will be in the room where decisions are made. Not observing, contributing. The Founders’ Associate role at a pre-seed company is one of the highest-leverage positions that exists at this stage of company building. We take that seriously.‍
• Your Setup: We expect every team member to treat AI tools as genuine force multipliers. We cover licenses for whatever keeps you moving. Top-of-the-line hardware, no approval process.

Berlin (Hybrid / On-site)   |   Freelance / Contract Basis  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

‍

The Engagement

The incumbents (Schneider, Eaton, Vertiv and others) built excellent tools for a stable grid. That grid is gone. Data centers now operate in a world of volatile energy prices, grid flexibility demands, and AI-scale power loads. The existing tooling was not built for this. We are.

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We are looking for a Data Center Infrastructure Advisor to act as the facility reality check for the Loadwise platform. You have built, run, or operated data centers from the inside. You know what DCIM dashboards actually look like in production, which BMS vendors are a nightmare to integrate with, how cooling systems behave under real load, and what keeps a facility operator up at night.

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Your role is to ensure our platform reflects how facilities actually operate. You will help shape integrations, product decisions, and customer deployments based on real-world constraints and trade-offs. This is not a strategy consulting role. We are looking for someone with hands-on experience in live facilities.

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Typical engagement: approximately 3-5 days per month, with flexibility depending on integration and deployment phases.

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What You'll Work On‍

Operational Grounding & Product Direction

• Review product and integration decisions from an operator perspective, identifying gaps between theory and facility practice
• Define what “good” looks like for core facility integrations (cooling, power, automation)
• Help prioritize features based on operational impact and deployment feasibility

‍Integration Acceleration

• Guide the engineering team through vendor-specific quirks, undocumented APIs, and real-world protocol behavior
• Help design integration pathways that fit within the operational and security constraints of live facilities
• Support early customer deployments and troubleshooting with hands-on facility knowledge

Customer & Partner Engagement

• Participate in technical customer conversations to accelerate trust with operators
• Feed vendor ecosystem knowledge and operational intelligence back into product and commercial decisions

Example Problems You Might Help Solve

To give a concrete sense of how this role contributes, examples include:

• Should UPS systems ever be cycled for demand response or energy optimization?
• What telemetry is actually available from production DCIM platforms like Schneider EcoStruxure or Vertiv?
• How can facility and customer SLAs be minimally adjusted to create operational flexibility and energy leverage without compromising reliability?

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What We're Looking For‍

‍Data Center Operations

• Direct experience running or scaling live data center environments
• Familiarity with facility management systems in a data center environment
• Experience with power distribution, UPS systems, generators, cooling, and facility redundancy architectures

Customer & SLA Perspective

Understanding how facility operations interact with customer-facing uptime guarantees and service commitments is essential. Relevant environments may include:

• Colocation data centers
• Hyperscale or cloud infrastructure
• HPC research facilities
• Vertically integrated compute operators

‍Technical Breadth

• Ability to read and reason about integration schematics, control sequences, and facility system architectures
• Comfort participating in architecture discussions with software engineers

Collaboration & Mindset

• Ability to explain operational realities clearly and challenge assumptions constructively
• Curiosity about how software can make data center infrastructure significantly more efficient and responsive to energy markets

‍

What We Offer‍
Flexible Engagement‍

This is a freelance or fractional engagement. We are open on structure: day rate, freelance contract, or project-based arrangements depending on what works best. What matters is your operational expertise, not the exact contract structure.

‍

Our Process‍

We keep it simple. A couple of direct conversations with the founders to align on scope, expectations, and impact, and we can move quickly to agreed terms.

Berlin (Hybrid / On-site)   |   Full-time or Freelance  |  Loadwise.ai

‍About Loadwise
‍Data centers are becoming one of the fastest-growing electricity consumers in history, especially AI and HPC clusters. At the same time, power systems are increasingly driven by renewable generation, creating volatility in prices, carbon intensity, and grid conditions. Loadwise builds software that allows compute infrastructure to respond intelligently to these energy signals. We connect data center infrastructure directly to real-time energy markets and grid signals, enabling cost-optimal and carbon-aware operation of compute workloads and energy assets.

Our goal is simple: Make sure the infrastructure powering humanity's most powerful technology runs on humanity's best and cheapest energy source.

‍

Don’t See Your Role Listed?

We are building at the intersection of two of the most consequential infrastructure shifts of our time. The team we need does not fit neatly into a single job description, and the right person does not always show up at the right moment.

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If you have deep expertise in energy systems, data center infrastructure, software engineering, or European energy markets and you think you belong here, we want to hear from you.

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Early in Your Career

Our open roles are written for senior profiles, but we know exceptional people come at every stage. If you are earlier in your career and you have the depth, the drive, and a genuine understanding of what we are building, do not let the seniority language put you off. The bar is high but it is not about years on a CV.

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Tell us what you have built, what you know deeply, and why Loadwise. Make the case for yourself and we will read it seriously.

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Areas We Care About

• Optimization & Control: Time-series forecasting, MPC, and dispatch optimization for physical energy assets
• Facility Systems: Data center infrastructure, DCIM, BMS, cooling architectures, and power systems
• Backend & Platform: Data pipelines, systems integration, industrial protocols, and production data infrastructure
• Compute Orchestration: ML workload scheduling, GPU power management, and distributed cluster orchestration (Kubernetes, Slurm)
• Energy Markets & Policy: Demand response, grid services, and regulatory work at the EU and national level

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How to Apply

Click on Apply Here below or send us a short note at careers@loadwise.ai.

Tell us who you are, what you have built or know deeply, and why Loadwise specifically. No template, no cover letter format. Just make it easy for us to understand why you are reaching out.

We read every application.