Jobs at Arcadia (DC)

Leads the global revenue operations function across forecasting, pipeline analytics, territory and quota planning, CRM management, reporting, and data governance. Manages analysts and CRM professionals, establishes sales operating cadences, oversees forecast accuracy and pipeline coverage, and partners with Finance, Deal Desk, and Salesforce engineering. Provides executive insights on performance, win/loss trends, retention, pricing, and revenue reconciliation while driving process improvements and systems development.

Develops full-stack features for Arcadia’s energy intelligence platform. Responsibilities include building C#/.NET backend services and REST APIs, React/TypeScript frontend experiences, SQL data models, event-driven integrations, automated tests, CI/CD pipelines, monitoring, production support, and legacy migration. The engineer owns features end to end, collaborates across product and QA teams, reviews code, mentors junior engineers, and communicates with US-based colleagues.

Own end-to-end SRE projects and hybrid infrastructure across AWS, Azure, and on-premises environments. Lead architecture, Terraform-based infrastructure, CI/CD, observability, FinOps, database reliability, security, incident response, automation, and documentation. Serve as a technical anchor through design reviews, complex debugging, mentorship, and platform strategy while participating in on-call and post-incident improvements.

Generate qualified enterprise sales meetings through persistent, multi-channel outreach, including cold calls, personalized emails, video, and social selling. Partner with Account Executives to identify and penetrate target accounts, lead initial discovery meetings, uncover energy management needs, and deliver compelling product overviews. Maintain sales activity and pipeline quotas while adapting prospecting strategies based on client feedback.

Leads revenue operations and customer account support by improving workflows, monitoring KPIs and SLAs, conducting root-cause analysis, coordinating offshore teams, and driving process changes. Manages customer portfolios, supports renewals and churn prevention, provides product feedback, handles technical support for utility data feeds and APIs, and develops team capabilities through coaching, goal setting, and performance management.

Leads a team of data analysts responsible for operational coverage, workload allocation, quality, productivity, SLAs, backlog management, and complex issue resolution. Reviews escalations, conducts root-cause analysis, coaches team members, prepares performance reports, coordinates with stakeholders and utility providers, and supports process improvement, automation, documentation, and business continuity.

Lead pricing strategy, profitability analysis, deal desk governance, cost-to-serve modeling, customer segmentation, LTV and unit economics analysis. Implement pricing structures and Salesforce CPQ workflows, use AI and automation to improve analytical processes, report margin performance to executives, and manage 1–2 analysts. Partner cross-functionally with Sales, Product, Customer Success, Operations, and executive leadership across SaaS, services, and payment-related offerings.

Build Arcadia’s AI software factory, including scaffolding, templates, CI patterns, agent integrations, and instrumented automation. Ship and maintain production LLM systems, design evaluations, measure accuracy and failure modes, and improve operational workflows. Integrate agents with Zendesk, Jira, Confluence, GitHub, and Snowflake while balancing cost, latency, reliability, permissions, and auditability.

Investigate and resolve complex data discrepancies across multiple systems, validate and reconcile information, perform corrections, document findings, and meet quality and turnaround targets. The role identifies trends and process gaps, supports escalations, conducts peer reviews, guides junior analysts, assists with training, and contributes to process improvements and automation initiatives.

Build, evaluate, and deploy production machine learning models for utility data extraction, forecasting, anomaly detection, and agent-powered workflows. Responsibilities include Python development, experimentation, model evaluation, data validation, prompt tuning, documentation, monitoring support, and collaboration with engineering and subject matter experts.

Own the Plug presentment roadmap for Arcadia’s utility data platform, including customer-facing APIs, delivery workflows, and self-service tools. Define product requirements, API contracts, and scalable data-delivery capabilities while partnering with engineering, design, operations, and global teams. Balance new feature delivery with KTLO and technical debt, leverage AI tools for productivity, manage dependencies, communicate progress, and support external developer documentation.

Provides senior technical support for Mac and Windows systems, manages Jira Service Desk boards and workflows, automates ticket processes using AI, resolves incidents, supports global users during a fixed night shift, mentors junior technicians, collaborates on infrastructure, and analyzes support metrics to improve service delivery.

Leads a high-volume data operations team responsible for utility billing research, validation, reconciliation, quality, SLA, productivity, and issue resolution. Manages escalations, performance reporting, process controls, root-cause analysis, continuous improvement, automation initiatives, stakeholder communication, coaching, and team development. Ensures accurate, timely bill processing while identifying operational risks, bottlenecks, and opportunities to improve efficiency.

Owns production AI and distributed backend systems that transform utility documents into reliable structured data. Responsibilities include designing multi-agent workflows, OCR and document intelligence pipelines, event-driven Python services, evaluation frameworks, data models, deployments, observability, testing, and incident follow-up. The role requires end-to-end ownership, strong communication, mentoring, and hands-on expertise with LLM applications, AWS, Kubernetes, PostgreSQL, and resilient distributed systems.

Senior Staff Engineer serving as a hands-on technical SME across Core Engineering squads in India. Responsibilities include approving complex designs, building production software, leading distributed systems and cross-service changes, improving performance and reliability, validating AI-generated code, modernizing legacy services, resolving production issues, documenting architecture, and mentoring senior engineers without direct management responsibilities.

Own the requirements, architecture, governance, and roadmap for Arcadia’s unified data model. Partner with product, data engineering, analytics, and platform teams to reconcile competing schema needs, define technical requirements and data contracts, drive governance and adoption, and ensure scalability across ingestion, storage, analytics, APIs, and downstream products. The role also requires stakeholder alignment, data quality management, roadmap prioritization, and communication of technical decisions to business and engineering leaders.

Own Zendesk architecture, administration, integrations, workflow automation, migrations, governance, and technical escalations across multiple business units. Design integrations with CRM, billing, ticketing, data, and third-party systems; establish access controls and change management; evaluate Zendesk apps and APIs; and partner with global stakeholders to deliver scalable support operations solutions.

Manages accounting operations, financial reporting, reconciliations, accruals, fixed assets, and month-end and year-end close processes. Oversees payroll accounting, employee costs, statutory compliance, audits, and internal controls. Prepares financial statements and management reports, coordinates with auditors and consultants, and drives accounting process improvements and ERP automation.

Leads customer success strategy and operating-model execution for a B2B SaaS energy-management company. Responsibilities include building lifecycle processes, KPI dashboards, VOC and health-scoring programs, performance-improvement initiatives, support tooling, CSM technical enablement, and organizational change. The role partners with senior leaders to improve retention, customer satisfaction, support quality, adoption, and expansion across onboarding, value realization, renewal, and at-risk recovery.

Lead architecture and technical direction for backend services powering utility-data acquisition, extraction, and auditing. Own medium-to-large projects end to end, review designs and code, manage reliability and technical debt, support production operations, and mentor engineers. Build high-volume distributed systems and third-party integrations using Java, Python, SQL, event-driven architectures, and AWS-based container platforms. Establish rigorous AI-assisted development, observability, testing, and architectural practices while collaborating across product, operations, analytics, and distributed engineering teams.