Brainforge Logo

Brainforge

Client Success Owner

Reposted 2 Months Ago
In-Office or Remote
Hiring Remotely in NYC, NY, USA
Mid level
In-Office or Remote
Hiring Remotely in NYC, NY, USA
Mid level
Lead end-to-end Data & AI client engagements, own delivery and client relationships, translate technical outputs into business value, manage risks, present weekly value updates, and drive expansion opportunities while partnering with data teams.
The summary above was generated by AI

Role Overview

We’re hiring a Client Success Owner (CSO) to lead Data & AI engagements from ambiguity to impact.

This is a client-facing role that combines project ownership, technical fluency, and relationship management. You’ll own both delivery and the client relationship—ensuring work is executed well and clearly tied to business value.

You’ll work closely with technical teams to scope projects, guide execution, and translate outputs into insights that drive decisions and long-term partnership growth.

🔑 Key Responsibilities

  • Own end-to-end delivery of Data & AI engagements, from scoping through final impact reporting.
  • Serve as the primary client contact, building trust and leading communication, updates, and decision-making.
  • Translate ambiguous needs into clear plans, timelines, and deliverables; proactively manage risks and blockers.
  • Deliver weekly value presentations, translating technical work into business outcomes and ROI.
  • Maintain clear documentation and capture “evidence of value” through insights, demos, and reporting.
  • Partner with data teams to guide solution design and execution; contribute hands-on when needed (SQL, dbt, BI).
  • Ensure strong project hygiene, team alignment, and visibility into engagement health.
  • Track client sentiment, flag risks early, and prevent escalation through proactive management.
  • Identify and drive expansion opportunities aligned to client needs and measurable impact.
  • Lead final presentations, post-mortems, and support productization of reusable solutions.

🧩 Background & Skills

Experience

  • 4–6+ years in analytics, data engineering, data science, or consulting.
  • Experience leading data projects and working directly with clients.
  • Strong track record of translating data into business insights.

Technical Skills

  • Strong SQL skills and understanding of data modeling.
  • Experience with dbt or similar tools.
  • Familiarity with modern data stacks (Snowflake, BigQuery, etc.) and BI tools (Looker, Sigma, Power BI).
  • Comfortable working with data teams and reviewing technical work.

Skills & Mindset

  • Structured thinker: brings clarity to ambiguous problems.
  • Strong communicator: clear, concise, and confident with stakeholders.
  • Ownership-driven: accountable for outcomes, not just tasks.
  • Relationship-focused: builds trust and manages client sentiment.
  • Proactive: anticipates issues and takes initiative.
  • Technically fluent: able to go deep when needed.
  • Commercially aware: can spot and shape growth opportunities.

⏱️ Operating Cadence (80/20 Model)

  • Daily: Client touchpoint, health score update, expert execution.
  • Weekly: Value presentation delivery, sync with Service Leaders.
  • Monthly: AI efficiency audit, sentiment/NPS review, expansion strategy.
  • End of Project: Asset pivot, internal post-mortem, ROI capture.

📊 Success Metrics

  • Consistent, high-quality client communication and updates.
  • Strong client satisfaction and engagement health.
  • On-time, high-quality project delivery.
  • Expansion opportunities generated from existing clients.

📍 Location & Logistics

  • Location: Remote (LA, Austin or NYC preferred)
  • Type: Contract
  • Start Date: ASAP

🤝 Benefits & Culture

  • Competitive salary.
  • Opportunity to be part of a team building innovative AI products.
  • Fast-paced environment where your work has immediate impact.
  • A team that values collaboration, learning, and cutting-edge innovation.

Similar Jobs

An Hour Ago
Remote or Hybrid
USA
Mid level
Mid level
Machine Learning • Payments • Security • Software • Financial Services
Leads system monitoring, maintenance, incident response, troubleshooting, reliability improvements, patching, upgrades, and production support. Analyzes root causes, tracks availability and performance metrics, coordinates system changes, and supports application governance, continuity testing, audits, and regulatory inquiries. Coaches junior staff and ensures supported systems comply with technology standards and risk-management requirements.
Top Skills: Application Programming Interfaces (Apis)Genesys CcpulseIt Service Management (Itsm)
2 Hours Ago
Remote or Hybrid
United States
145K-196K Annually
Senior level
145K-196K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Sales • Security • Software • Cybersecurity
Manage and mentor Product Managers while guiding product strategy, prioritization, roadmap execution, and lifecycle management for Rapid7’s cybersecurity platform. Partner with Product, Engineering, UX, executives, customers, and cloud ecosystem partners to define requirements, launch features, analyze usage and feedback, and drive market impact. The role also promotes AI-enabled product management practices, customer-centric decision-making, cross-functional alignment, and development of high-performing global teams.
Top Skills: Artificial IntelligenceCloud SecurityVulnerability Management
3 Hours Ago
Remote or Hybrid
United States
23-30 Hourly
Mid level
23-30 Hourly
Mid level
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Provides independent healthcare consulting services for skilled nursing, independent living, and assisted living clients. Analyzes and reconciles claims, reimbursements, and operational data; prepares reports; supports client onboarding and regulatory readiness; responds to healthcare-related inquiries; and collaborates with compliance, IT, and finance teams. Requires knowledge of healthcare regulations, payer requirements, healthcare systems, and strong analytical and communication skills.
Top Skills: Claims Processing PlatformsEhrsHealthcare Analytics ToolsHipaaMacraExcelMicrosoft OutlookMicrosoft Word

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account