Customer Success

Span • San Francisco, CA

1d • $95,000 - $200,000

About The Position

Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software is built, the companies that continuously improve how their teams use AI in their day-to-day will pull ahead. Span is the AI-native developer intelligence platform built for that moment. They are looking for people who want to shape how the next generation of high-performing engineering orgs operate. Span is a Series A company with a small, focused team that moves fast and ships things that matter. They are proud to be helping forward-thinking orgs like Ramp, Carvana, Intercom, and OpenTable. They are honored to be backed by dozens of founders, CTOs, and CPOs they admire from Slack, Notion, Rippling, Fivetran, Coda, Adobe, and Square, as well as funds including Alt Capital, BoxGroup, Bling, Craft, and SV Angel. They are on the lookout for a Customer Success Manager to help shape their journey at Span. If you're passionate about supporting engineering teams and love turning technical insights into strategic wins, this role is for you.

Requirements

• 3+ years of experience in Customer Success or similar post-sales roles at a SaaS company.
• Experience working with technical teams—especially engineering leaders—at mid-market or enterprise companies.
• A consultative approach to customer relationships—you love solving messy problems, not just checking boxes.
• Excellent communication skills—you know how to read a room and speak both engineer and executive.
• Comfort with ambiguity and a bias toward action—you know when to zoom in and when to zoom out.
• You take pride in your organization and follow-through, and you’re always one step ahead.
• You care deeply about your customers and want to help them thrive.

Nice To Haves

• Familiarity with tools like Jira, GitHub, and other engineering systems.
• Experience supporting a technical or data-heavy product.
• Been an early CS hire before
• A knack for simplifying complex concepts and building processes that scale.

Responsibilities

• Build deep, trusted relationships with engineering leaders—understanding their goals, unblocking challenges, and helping them get the most out of Span.
• Lead onboarding, set success plans, and guide customers through best practices to ensure adoption, retention, and expansion.
• Be the go-to advisor for our customers—navigating the worlds of AI Effectiveness and Developer Intelligence.
• Work across departments (Sales, Product, Engineering) to advocate for customer needs and deliver a standout experience.
• Lead value-driven conversations regularly with customers to help them make the connection between Engineering Intelligence and business outcomes.
• Identify champions, expand usage across teams, and proactively spot churn risks before they happen.
• Get creative with workflows, playbooks, and experiments to scale our CS efforts as we grow.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed