Implementation Manager

Magnify is a customer growth automation platform that helps SaaS companies scale faster and smarter. We combine artificial intelligence and cutting-edge automation to create industry-leading forecasts, rich customer insights, and omni-system automation to drive revenue growth without adding more operational overhead. Our platform tackles one of the hardest challenges SaaS companies face: how to intelligently predict customer behavior and automate actions across complex tech stacks — CRM, marketing automation, customer success platforms, and more. Our customers operate in fast-moving environments, and so do we. Every day at Magnify brings new challenges, new puzzles, and new opportunities to learn. If you thrive in complexity, love working with passionate, sharp teammates, and have a growth mindset, we’d love to meet you.

We are hiring an Implementation Manager to join our team. In this role you’ll be responsible for ensuring new customers are set up for success by owning the end-to-end implementation process — with a strong emphasis on systems integration, RevOps alignment, and data readiness for machine learning-powered forecasting. You'll work closely with Customer Success, Engineering, and our ML team to ensure customers’ internal systems (Salesforce, HubSpot, Gainsight, NetSuite, and others) are connected, data pipelines are flowing accurately, and the foundation is laid for intelligent automation and predictive insights. This is a hybrid technical and operational role that requires cross-functional coordination and an ability to deeply understand customer workflows, customer data, and internal AI and ML /forecasting needs.

What You’ll Do

• Manage customer implementations in collaboration with Customer Success, from project kickoff to full onboarding, ensuring smooth handoffs from Sales and into post-launch Customer Success.
• Own the integration process across customer tech stacks, including CRM, CS platforms, marketing automation, billing, and product telemetry tools.
• Collaborate with the ML and data science team to ensure clean, mapped, and structured data pipelines that power forecasting and insights.
• Translate RevOps use cases into implementation plans, ensuring Magnify is aligned to the customer’s revenue reporting logic, segmentation, and business rules.
• Act as the technical voice in implementation calls, supporting API configuration, data mapping, and authentication setup.
• Identify and resolve issues proactively, using tools like Airbyte and Datadog, escalating to Engineering when needed.
• Continuously refine onboarding playbooks and implementation templates, sharing learnings and best practices with the broader CS and Product teams.
• Maintain a feedback loop with Product and Engineering to advocate for customer needs and improve implementation tools and workflows.
  
  

Who You Are

• Growth-minded: You learn quickly, embrace challenges, and are always seeking ways to improve.
• RevOps-fluent: You understand revenue operations principles — including pipeline, customer journey mapping, ARR logic, and segmentation.
  
  

Technically capable: You can read API docs, troubleshoot integrations, and speak confidently about system architectures.

• Customer-first: You build trust easily, communicate clearly, and always have the customer’s long-term success in mind.
• Cross-functional collaborator: You know how to align Sales, CS, Data Science, and Engineering around a shared outcome.
  
  

Required Skills And Experience

• 4–6 years in implementation, technical onboarding, or customer-facing operations roles — ideally within SaaS or data-driven platforms.
• Hands-on experience connecting and configuring systems like Salesforce, HubSpot, NetSuite, Gainsight, etc.
• RevOps experience, and a solid understanding of forecasting strategies and challengesFamiliarity with modern data integration tools (Airbyte, Fivetran, Census, or similar).
• Familiarity with APIs, authentication methods (OAuth, Token-based), and webhooks.
• Comfort working with SQL and structured data — able to query and QA customer datasets.
• Strong project management skills — you can coordinate across stakeholders, track details, and drive toward milestones.
• Prior exposure to ML- or data-enabled platforms
  
  

Experience at an early-stage startup is a big plus.

Why You’ll Love It Here

• You’ll help customers unlock powerful insights and automations from day one.
• You’ll work at the intersection of RevOps, ML, and customer experience — shaping how fast-growth SaaS companies scale.
• You’ll collaborate with a small, high-performing team that values autonomy and curiosity.
• You’ll help define and refine implementation playbooks and processes as the team scales.
• You’ll be part of a company that values transparency, learning, and customer impact above all.
  
  

The compensation for this role ranges between $110,000 and $150,000 plus benefits, including an equity grant.