Octopus Deploy

Solutions Engineer

• Working where you work best, perhaps in a home office and atmosphere designed by you, videoconferencing with colleagues and customers.
• Building or updating technical assets like Octopus Deploy projects that deploy applications to Tomcat on EC2 instances or containerized applications to a Kubernetes cluster using Helm.
• Working with your account team to discover the technical challenges and business goals of an account, and preparing a demo to showcase the value of Octopus Deploy and how it address their challenges and goals.
• Delivering a demo for and discussing the technical questions of a prospective customer.
• Providing guidance to a prospective customer conducting a Proof of Value with Octopus Deploy.
• Educating customers on the value of Octopus Deploy by developer blogs and guides, delivering talks and webinars, and attending events to evangelize Octopus Deploy.

Solutions Engineer, French Speaking

Analytics Engineer

• Explore datasets to identify trends, patterns, and anomalies across the customer lifecycle.
• Analyse data to answer more complex product, growth, and business questions.
• Present findings clearly, focusing on the story behind the data and what it means for decision-making.
• Partner with product managers, engineers, and other teams to refine questions and iterate on insights.
• Build dashboards and reports that surface trusted metrics and enable product, finance, and growth teams to explore data with confidence.
• Build reusable analytical models that support consistent reporting and repeatable analysis.
• Work closely with data engineers to understand data models, definitions, and data quality constraints.
• Document data definitions, table structures, and common analysis patterns.

Full-stack Engineer

• Build and improve internal tooling and modules in C# that help teams ship faster and with fewer surprises
• Strengthen build and release pipelines so deployments are smooth, repeatable, and easy to reason about
• Improve reliability and operability through better defaults, automation, and observability
• Partner with engineers across R&D to remove friction from builds, tests, deployments, and infrastructure workflows
• Contribute to incident response and operational support to minimise downtime and speed up recovery
• Work with tools like Azure, Terraform, Kubernetes, Honeycomb, Sumo Logic, and some AWS (plus AI-assisted tools where they help)

Senior Software Engineer

Revenue Operations

• Partner with the CRO and executive team to define the multi‑year revenue strategy, including segmentation, coverage model, and capacity planning across direct, channel, and self‑serve motions.
• Lead the annual and quarterly GTM planning process: targets, territories, quotas, headcount plans, compensation design, and budget alignment across Marketing, Sales, Customer Success, and Partnerships.
• Develop and maintain a unified revenue performance framework (pipeline, conversion, cycle time, retention, expansion) to guide investment decisions and trade‑offs.
• Own the Revenue enablement program for all functions within the organization.
• Own end‑to‑end GTM process design from lead to renewal and expansion (lead management, qualification, opportunity management, deal desk, order management, handoffs to onboarding and CS, renewal playbooks).
• Standardize and continuously improve processes for different DevOps segments (e.g., PLG/self‑serve, mid‑market, enterprise, strategic accounts, MSPs/VARs) while preserving regional and segment flexibility where needed.
• Implement and govern clear operating cadences: QBRs, forecast calls, pipeline reviews, marketing performance reviews, and customer health reviews.
• Establish a single source of truth for revenue data across CRM, marketing automation, product telemetry, billing, and customer success platforms, with clear data definitions and governance.
• Build robust dashboards and analytics for pipeline health, forecast accuracy, cohort retention, product adoption, pricing/discounting, and sales productivity; turn insights into recommendations and action.
• Own the companywide revenue forecasting process (new, expansion, churn) and drive continuous improvements in accuracy, timeliness, and scenario modelling.
• Own the GTM tech stack strategy and roadmap (e.g., Salesforce, HubSpot/Marketo, sales engagement, CPQ, CLM, CS platforms, data warehouse/BI, enrichment, routing, intent signals, PLG tooling).
• Ensure systems are designed and integrated to support DevOps‑specific motions such as trials, freemium, usage‑based pricing, marketplace transactions, and hybrid land‑and‑expand motions.
• Drive adoption, enablement, and change management for GTM tools, ensuring that teams use standardized workflows and that data quality remains high.
• Serve as the connective tissue between Marketing, Sales, Customer Success, Product, and Finance to ensure alignment on ICP, segmentation, messaging, pricing/packaging, and lifecycle plays.
• Partner with Product and Product Marketing to translate product telemetry and usage data into account‑level signals and plays (upsell, expansion, save, migration) for GTM teams.
• Oversee Revenue Enablement (directly or via dotted line), ensuring onboarding, ongoing training, and playbooks are grounded in data and aligned to GTM priorities.
• Build and lead a high‑performing RevOps organization spanning sales operations, marketing operations, CS operations, systems/administration, analytics, and deal desk.
• Define clear charters, operating models, and SLAs for how RevOps engages with GTM leaders and internal stakeholders.
• Develop talent, foster a culture of experimentation and continuous improvement, and position RevOps as a strategic partner rather than a reactive service function.

Solutions Engineer, French Speaking

Analytics Engineer

Senior Software Engineer

VP, Revenue Operations