Senior / Staff Software Engineer, Full Stack Software Products

Antora; United States; À distance; USD 183 000 - 240 000; Plein temps

Avantages offerts par ce poste

Equity compensation

Premium health benefits

401K plan with employer contributions

Flexible spending accounts

Industry leading paid-time-off

Volunteer time off

Résumé du poste

Antora Energy is seeking a full-stack product engineer to build software powering our business—from customer experiences to internal tools. You’ll shape product vision, design data models, and connect AI with business logic, owning products end to end with user-centric workflows.

You will help build long-term software capabilities, create systems and guardrails for ecosystem tools, and work across the stack with deep expertise in core areas such as software engineering, data modeling, AI

Qualifications

• Proven ability to turn vague requests into clear product direction.
• Experience shipping production-grade software across frontend and backend.
• Experience deploying AI-powered products used by real users.
• Strong understanding of data modeling and SQL fundamentals.
• Collaborative approach with non-engineers and engineers alike.
• Ability to communicate complex decisions clearly across teams.
• Practical judgment to balance features with risk and governance.
• Growth mindset and willingness to learn across the stack.

Responsabilités

• Design, build, deploy, and maintain internal and external software products across frontend, backend, data, and AI layers.
• Put workflow creation directly into users’ hands; enable self-service tooling.
• Collaborate with users to translate needs into practical solutions.
• Design a unified data model powering Antora’s products and semantic consistency.
• Enforce data security and access controls across products and data.
• Build proactive AI guardrails to detect failures and governance gaps.
• Define architectural standards and guardrails across the software ecosystem.

Connaissances

Product judgment

Python/TypeScript

AI integration

Data fundamentals

Collaborative work

Cross-functional communication

Risk judgment

Growth mindset

Outils

dbt

Cube

ClickHouse

Description du poste

Antora Energy delivers affordable, reliable energy to industry, data centers, and the grid. Our thermal batteries turn low-cost electricity into always‑on heat and power, without supply‑constrained critical minerals or multi‑year construction timelines.

We are growing our company with people who put team and mission first, value connection through laughter and joy, and work with humility and openness. We are committed to building a diverse, passionate, and creative team dedicated to a future powered by abundant, clean, low‑cost energy.

About The Role

Antora Energy is looking for a full‑stack product engineer to build the software products that power our business - from external customer experiences to internal tools used by teams across Business Development, Operations, and R&D.

In this role, you’ll help shape product vision, design the underlying data models, and connect AI systems with the business logic that makes them useful. You’ll own products end to end, working directly with users to understand their workflows, translate ambiguous needs into practical solutions, and ship software that performs reliably in production.

You’ll also help build Antora’s long‑term software capabilities. That means creating systems, standards, and guardrails that allow partner teams to safely modify existing tools and build new ones within our ecosystem - without engineering becoming a bottleneck.

This is a highly autonomous role with direct influence over how software is designed and built at Antora. We’re looking for deep expertise in one or more core areas - such as software engineering, data modeling, AI integration, or product development - along with the curiosity and practical judgment to work across the full stack.

What You’ll Do

Build Full‑Stack Products

Design, build, deploy, and maintain internal and external software products across the frontend, backend, data, and AI layers. Own the complete product lifecycle, including architecture, observability, reliability, and ongoing maintenance.

Enable Self‑Service

Put workflow creation directly into users’ hands. Build systems that allow analysts, operators, and other domain experts to adapt their own tools without filing a ticket and waiting for engineering support.

Co‑Create with Users

Work alongside the people doing the work. Learn their processes, build solutions with them, and give them the tools and confidence to continue improving those solutions independently.

When users contribute their own code or workflows, you’ll make those contributions safe to run, easy to review, and straightforward to maintain.

Establish a Unified Data Model

Design the data foundation that powers Antora’s products. Connect business systems, operational data, and plant telemetry through tested transformation pipelines and a governed semantic layer.

You’ll help ensure that critical concepts—such as revenue, availability, and delivered steam—have consistent definitions across dashboards, AI assistants, applications, and autonomous agents.

Design for Data Security

Build and enforce strong access controls for sensitive, proprietary, and counterparty‑restricted data. Ensure every product, workflow, and AI interface consistently respects authorization boundaries.

At Antora, an AI system that answers an unauthorized question is not a clever feature—it is a business risk.

Build Proactive AI Guardrails

Make evaluation a core part of product development rather than a final checkpoint. Create systems that identify task failures, tool‑calling errors, grounding gaps, security issues, and regressions before they reach users.

Where AI systems influence financial decisions, operational dispatch, or customer commitments, you’ll build safeguards that are rigorous, reliable, and easy for teams to use.

Set Engineering Standards

Help define architectural patterns, development practices, and technical guardrails across Antora’s software ecosystem. Distinguish between controls that prevent real failures and processes that create unnecessary friction.

What We’re Looking For

• Strong product judgment. You can turn vague, shifting requests into a clear product direction, write an effective specification, and ship a solution. You know how to challenge a feature request that misses the underlying problem while maintaining stakeholder trust.
• Production software engineering experience. You have strong Python and TypeScript skills and are comfortable working across frontend and backend systems. You have owned applications end to end, including deployment, observability, reliability, and maintenance.
• Experience shipping AI-powered products. You have built and deployed LLM‑powered systems used by real users - and have learned from the unexpected ways those systems failed in production.
• Strong data fundamentals. You are comfortable with SQL, warehouse modeling, and tools such as dbt or equivalent transformation frameworks. You have shipped data changes through CI and think proactively about data quality, freshness, lineage, and testing.
• A collaborative approach to building. You have a track record of building with non‑engineers, not simply building for them. You’re comfortable pairing, teaching, reviewing someone’s first pull request, and helping users become increasingly self‑sufficient.
• Clear cross‑functional communication. You can connect product, data, AI, and software engineering considerations - and communicate technical decisions in a way that allows everyone in the room to contribute.
• Practical risk judgment. You can distinguish between controls that prevent meaningful failures and ceremony that slows teams down. You know where users can safely make changes independently and where review or stronger governance is required.
• A growth mindset. We do not expect one person to be an expert in every discipline. We value deep expertise, intellectual curiosity, sound judgment, and a willingness to learn across the stack.

Bonus Qualifications

• Experience building or maintaining semantic layers using tools such as dbt or Cube
• Familiarity with ClickHouse, time‑series data, or IoT systems
• Experience with agent protocols such as MCP or with plugin and tool APIs
• Background in energy, industrial technology, or manufacturing
• Experience managing AI model usage, performance, and cost governance

Work Location: Remote / US based

Salary Range: $183-240k USD

Salary Basis:

Please note that the salary range listed above reflects Antora Energy's estimated pay for this position. The actual salary offered will be within the posted range and determined based on several factors including but not limited to a candidate's experiences, credentials and expertise, as they pertain to the position's requirements.

In addition to a competitive base salary, Antora Energy’s Total Rewards program includes equity compensation in the form of stock options, a premium health benefits package with life and disability insurance, a 401K plan with employer contributions, flexible spending accounts, and an industry leading paid‑time‑off policy that features flexible and inclusive holiday observance, as well as paid volunteer time off.

When it comes to stopping climate change, we need everyone. We believe that having a diversity of backgrounds and experiences strengthens all of us, and we strive to create an environment where every one of us is empowered to create meaningful change.