Job Specifications
First, what we’re actually doing
Suger helps revenue teams sell more effectively by simplifying the workflows required to buy and sell through cloud marketplaces. We make it easier for our customers to transact, manage, and grow deals across AWS, Azure, Google Cloud, Alibaba, Oracle and Snowflake, creating a smoother buying experience for their customers.
We’ve grown quickly by becoming the end-to-end orchestration system for the fastest growing sales channel (B2B Cloud Marketplaces) leveraging AI and integrations with core systems.
Today, we work with over 250 B2B customers, ranging from large enterprises like Snowflake and Intel to fast-growing startups like Glean and Vanta.
Why this role exists
Our customers rely on Suger for mission-critical revenue workflows, and Customer Success plays a central role in ensuring these workflows are implemented correctly, adopted fully, and scaled intelligently.
As a Customer Success Manager (Implementation & AI Enablement), you will own the full customer implementation lifecycle and act as the primary driver of customer enablement, adoption, and long-term success. This role sits at the intersection of:
Implementation ownership
Customer training and enablement
AI-driven execution and product learning
You will not only onboard customers - you will teach both customers and Suger’s AI agents how to execute cloud marketplace workflows effectively, ensuring learnings are captured, systematized, and reused at scale.
This is a hands-on, technical, and systems-oriented role designed for someone who enjoys building repeatable processes and shaping how a product learns from real customer behavior.
What You’ll Own (for Real)
Own customer onboarding and implementation from kickoff through go-live
Lead discovery, scoping, and configuration across cloud marketplaces and core RevOps systems
Manage implementation timelines, stakeholders, and go-live readiness
Design and deliver customer training that drives early adoption
Translate complex workflows into clear, repeatable enablement assets
Train and improve Suger’s AI agents using real customer workflows and patterns
Partner with Product and Engineering to enhance AI-driven setup, support, and guidance
Own post–go-live stabilization, usage monitoring, and optimization
Identify risks, expansion opportunities, and scaling recommendations
Collaborate cross-functionally with Support, Sales, and Partnerships to ensure customer success
Who This Is For
3–6+ years in Customer Success, Implementation, Solutions Engineering, or RevOps roles
Experience owning complex B2B SaaS implementations end-to-end
Background working with technical or operational products (integrations, billing, RevOps, CPQ)
Strong project management and stakeholder coordination
Ability to explain complex systems clearly and confidently
Process-driven and highly organized
Comfortable working with ambiguity and evolving systems
Curious mindset with interest in AI-driven workflows and automation
What Success Looks Like
Customers reach go-live quickly and with minimal rework
Implementations are predictable, repeatable, and scalable
Customers are successfully transacting through cloud marketplaces
AI agents improve over time based on structured CS inputs
Reduced support burden through better training, automation, and documentation
Strong retention and expansion within implemented accounts
Bonus Points
Experience with AWS, Azure, or GCP marketplaces
Familiarity with Salesforce, RevOps tooling, or finance systems
Experience training customers or building enablement programs
Prior exposure to AI-assisted products or automation workflows
Startup experience in a fast-scaling environment
Why Join Us
The salary range: $90K – $120K/year, depending on experience, market location, and overall fit for the role
We are a team of :50 people, headquartered in the Bay Area (with teams globally), and growing rapidly
You’ll sell into one of the fastest-growing routes to market in B2B SaaS, as cloud marketplaces become a primary way enterprises buy software
A chance to operate closer to the market, product, and strategy than is possible in highly segmented sales orgs
A product positioned at the center of how ISVs, partners, and hyperscalers transact across AWS, Azure, and Google Cloud
Real ownership and visibility into outcomes at a stage where your work directly influences growth
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
About the Company
Suger is the modern platform for Cloud Go-to-Market (Cloud GTM). We make it easy for software companies to list, transact, and co-sell through cloud marketplaces and partner portals like AWS, Azure, GCP, Snowflake, and Alibaba. Suger automates the manual, cross-functional work behind Cloud GTM—from private offers and CRM syncing to entitlement fulfillment and co-sell execution—so your sales, ops, and finance teams can focus on closing deals, not chasing workflows. Built API-first with 25+ integrations, Suger connects directl...
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