AfterQuery
Customer Engagement
San Francisco
Sponsorship not specified$140k-$160kDetected 92 days ago
Machine LearningProduct ManagementCRMAccount ManagementValuationCustomer SuccessResearchLeadership
About the role
- Your job is to deepen and expand relationships with our customers.
Responsibilities
- Identify and drive expansion opportunities within existing accounts including new use cases, teams, or product lines.
- Develop and execute customer success playbooks, onboarding sequences, and account growth strategies.
- Create and facilitate customer advisory boards, user groups, and feedback sessions to inform product roadmap.
- Proven ability to drive account growth and expansion measured through net dollar retention, usage growth, or contract renewals.
- Exceptional relationship-building skills able to earn credibility and trust with senior-level decision-makers and technical leaders.
Requirements
- 3-5 years in a Business Operations, Account Management, or Customer Engagement role, ideally in DaaS, AI, or B2B SaaS.
- Experience in fast paced, highly technical environments and comfort in ambiguity.
Compensation
- Compensation Structure:
Benefits
- Monitor customer health metrics, usage patterns, and satisfaction scores to proactively address issues.
- Familiarity with customer success tooling (CRM/CS, net health scoring, usage analytics, etc.).
- $140-160k base + bonus + equity
- Comprehensive benefits (UberEats and ride share stipend, comped Equinox, 401K with match, health, dental, and vision insurance)
Company info
- you won't just run a playbook, you'll help build one.
- Working closely with the founding team and executive leadership, you will turn active customers into long-term partners.
- Support and expand relationships with existing AI lab and enterprise customers.
- Conduct regular business reviews and strategic check-ins with key stakeholders at client organizations.
- Work cross-functionally with operations and engineering teams to ensure customer requirements are met and feedback is incorporated.
- What We're Looking For
- Strong technical fluency to discuss complex AI/ML concepts like model training, evaluation, and data quality with technical stakeholders.
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