3 days ago
Base Salary
$231k - $265k/yr
Responsibilities
- Translate customer needs into executable workflows covering triggers, outcomes, participants, evidence, decisions, exceptions, and handoffs.
- Build and ship AI-assisted experiences, typed tools, service integrations, and workflow orchestration.
- Connect AI assistance to completed customer work and real application state rather than disconnected answers or recommendations.
- Extend reusable foundations for reliable orchestration, resumability, grounded retrieval, human approvals, and application services.
- Lead technical execution by decomposing opportunities, resolving dependencies, and guiding implementation across teams.
- Create evaluations and representative scenarios covering correctness, incomplete information, exceptions, permissions, and failure recovery.
- Measure customer outcomes with Product across effort, correction cycles, throughput, and decision quality.
- Engineer for production with attention to latency, model and tool costs, observability, safe rollout, failure recovery, prompt injection, and unauthorized tool actions.
- Partner with customers, Product, Design, engineers, and domain experts to define bounded, testable solutions.
Requirements
- Demonstrable experience delivering customer-facing software and leading consequential technical work across teams or services.
- Hands-on experience building production AI applications that retrieve information, invoke tools, or coordinate multi-step work.
- Strong software engineering skills involving APIs, structured contracts, asynchronous execution, testing, and observability.
- Experience connecting AI capabilities to real application state and authorized actions, not only conversational prototypes.
- Experience designing evaluations and investigating failures involving incomplete data, ambiguous requirements, or unreliable model outputs.
- Ability to work directly with customers and domain experts to clarify ambiguous needs and translate them into bounded, testable solutions.
- Clear communication and the ability to increase the effectiveness of other engineers through technical leadership.
- Preferred experience with electric utility, interconnection, transmission, distribution, DER, storage, or large-load workflows.
- Preferred experience with regulated or evidence-intensive enterprise applications, TypeScript, Node.js, React, cloud-based service architectures, document processing, workflow engines, engineering-tool integration, or enterprise authorization models.
- Deep electrical engineering expertise is valuable but not required.
Benefits
- Remote-first culture with flexibility and balance.
- Professional development including training, mentorship, and career pathing.
- Comprehensive health, dental, and vision insurance starting day one.
- Short- and long-term disability and basic life insurance at no cost.
- 401(k) plan with a 4% match.
- Flexible PTO and a supportive work culture.
- Mission-driven work with the opportunity to impact the energy sector.
Tech Stack
Categories
About GridUnity
GridUnity builds a cloud-based SaaS platform that streamlines the grid interconnection lifecycle for electric utilities, system operators, and energy project developers. The privately held company, founded in 2010 and headquartered in Boston, provides workflow automation, engineering screening, and hosting-capacity analysis to reduce backlogs and improve transparency. Its customers include North American utilities and operators that together serve over half of the U.S. population.