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Forward Deployed Engineer, DevOps - USParloa GmbHNew York, New York, United States
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Forward Deployed Engineer, DevOps - US

Parloa GmbH
  • US
    New York, New York, United States
  • US
    New York, New York, United States

About

Operations Manager, Solution Engineering & Services New York Office; Remotely in the USA
Location: Remote (US / EU friendly) or Hybrid (NYC / Berlin) About Parloa Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience, one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role: As a Operations Manager, Solution Engineering & Services , you'll be the operating system for a global org spanning Solution Engineering and Professional Services - while also owning the financial and resource engine that keeps our Professional Services business predictable.
This role pairs the rigor of a BizOps leader with the delivery instincts of a PS Ops analyst. You will build capacity models, run forecasting in Salesforce and Rocketlane, own invoicing accuracy in SAP, and deploy AI agents and automations that eliminate operational drag across the org.
Areas of ownership:
Design and deploy AI agents and workflow automations that eliminate manual, repetitive operational work across PS; evaluate new AI tooling and agentic capabilities on an ongoing basis, bringing proposals grounded in measurable efficiency gains
Own the integration layer between Salesforce, Rocketlane, SAP, Jira, and reporting tools
Build dashboards that lead to decisions and become the operational partner to Solution Engineering and Professional Services leadership
Build and run the weekly / monthly / quarterly rhythm: pipeline + capacity review, delivery health, KPI reviews, and QBR support
Own PS demand forecasting in Salesforce: pipeline signals and services attach rates
Partner with Finance / RevOps on services drivers; call out constraints proactively
Maintain forecast accuracy as a tracked, trusted metric reviewed at the executive level
Manage invoicing workflows and revenue recognition accuracy in SAP; flag and resolve discrepancies proactively
Support milestone billing triggers and ensure alignment between delivery milestones and finance timelines
Build and maintain an end-to-end capacity model across PS roles and regions: utilization, bench, skill coverage, and hiring needs
Own resource planning and allocation in Rocketlane - ensure the right people are on the right projects at the right time
Track and report utilization targets; surface over/under-allocation risks
Co‑own design of project health and hygiene in Rocketlane: milestone tracking, status updates, budget vs. actuals, and change control
Standardize the pre‑sales to delivery handoff, scoping to SOW inputs, and change control workflows
Build templates and checklists that reduce ambiguity and prevent rework
Parloa’s Tech Stack Salesforce, Rocketlane, SAP, Jira, n8n, Zapier, and other integration tooling.
Who you are:
5+ years in Ops / BizOps / Program Ops / PS Ops supporting technical, customer-facing teams in SaaS
Proven track record building operating cadence, capacity planning, and PS forecasting
Dashboard ownership and strong operational storytelling
Rocketlane or equivalent PSA tool ownership: resource planning, project tracking, and utilization reporting
Experience designing and deploying workflow automations with n8n, Zapier, or equivalent integration tooling
Hands‑on work with AI agents applied to operational workflows - timecard automation, resource recommendations, project health alerts
Invoicing and revenue recognition experience - comfortable in SAP or a comparable ERP
Strong systems thinking: can connect Salesforce → Rocketlane → SAP into a coherent operating model
Data fluency: comfortable modeling capacity and turning messy, multi‑system data into decisions
Preferred Qualifications
Familiarity with Jira delivery flows, ticket taxonomy design, and SLA governance
Experience supporting Solution Engineering orgs in addition to Professional Services
Familiarity with conversational AI or enterprise software deployment patterns
Salary ranges includes OTE
* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.
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  • New York, New York, United States

Languages

  • English
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