Staff Customer Success Manager

About Us

Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a Series-C funded company headquartered in Silicon Valley.

Our Enterprise Data Observability Platformthe first of its kindhelps enterprises build and operate world-class data products by ensuring data is reliable, trusted, and ready to power todays most critical technologies, including AI, LLMs, Analytics, and DataOps. Delivered as a SaaS solution, Acceldata is trusted by leading global organizations such as HPE, HSBC, Visa, Freddie Mac, Manulife, Workday, Oracle, PubMatic, PhonePe (Walmart), Hersheys, Dun & Bradstreet, and many more.

We are looking for candidates on Eastern Time Zone

As a Staff Customer Success Manager, youll guide your portfolio of clients toward success by building trusted partnerships, driving product adoption, and fostering long-term value. Your focus will be on creating impactful connections, ensuring retention, and helping customers get the most out of Acceldata. If you love solving challenges, delivering results, and seeing customers thrive, we want to hear from you

• Own Strategic Account Outcomes: Own the post-sales strategy for a portfolio of enterprise accounts, establishing yourself as a trusted advisor to both technical teams and C-level executives to drive business transformation and ROI.

• Drive Adoption and Value Realization: Lead the development and execution of joint Customer Success Plans, focusing on accelerating time-to-value, driving deep adoption of our data observability platform, and ensuring customers achieve their defined business goals.

• Manage Commercial Health: Take ownership of your portfolio's commercial health, including forecasting and mitigating churn risk, driving renewals, and partnering with the sales team to identify and execute on expansion opportunities.

• Scale and Mentor: Act as a subject matter expert within the CS organization by mentoring team members, developing and refining best-practice playbooks, and translating customer feedback into actionable insights for our product and engineering teams.

• Experience: 10 years in a senior, customer-facing technical role such as Enterprise Customer Success, Solutions Architecture, or Consulting, with deep domain knowledge in the data management, AI, or observability space.

• Executive Presence: Proven experience building trusted relationships with executive sponsors and technical stakeholders, with exceptional communication skills and the poise to navigate complex customer issues and escalations.

• Process-Oriented: Hands-on experience building and scaling customer success processes (e.g., onboarding, risk management, QBRs, renewals) in a high-growth, fast-paced environment.

• Flexibility: The ability to work effectively across multiple time zones and travel to customer locations as needed.

At Acceldata, we are committed to providing equal employment opportunities regardless of job history, disability, gender identity, religion, race, color, caste, marital/parental status, veteran status, or any other special status. We stand against the discrimination of employees and individuals and are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the designated roles and responsibilities.

is all about working with some of the best minds in the industry and experiencing a culture that values an out-of-the-box mindset. If you want to push boundaries, learn continuously, and grow to be the best version of yourself, Acceldata is the place to be

We also believe in providing our employees with the right tools and resources to help them excel at their job. We offer:

• Flexible PTO Plan
• Up to 100 PERCENT employer-paid benefits for health, dental, and vision coverage for specific plans
• Discounts and offerings for major vendors through our PEO
• Apple Air Mac Equipment
• Becoming part of the team that coined the term Data Observability

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Locations - United States / Canada