Brain Co. Logo

Brain Co.

Customer Success Manager

Reposted 4 Days Ago
In-Office
7 Locations
Mid level
In-Office
7 Locations
Mid level
The Customer Success Manager will define AI product features, translate needs into specifications, oversee agile delivery, and build relationships with customers.
The summary above was generated by AI
About Brain Co.

Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).

We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so far

  • Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value

  • Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses

  • Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work

  • Raised a $30M Series A from top investors

  • Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks

At Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.

About the Role

We’re seeking a Customer Success Manager to join our growing team in our San Francisco HQ. In this role, you'll work at the intersection of AI product delivery and customer engagement — helping define, shape, and drive AI-powered solutions that address mission-critical challenges in finance, energy, and government sectors.

You’ll collaborate closely with data scientists, engineers, and senior stakeholders to translate complex business needs into actionable technical solutions. As the voice of the customer, you’ll lead agile delivery cycles, ensure high-quality outcomes, and foster long-term relationships built on trust and impact.

Key Responsibilities
  • Define & Prioritize Features: Work with customers to identify high-impact problems and define AI-driven product features to address them.

  • Translate Business Needs: Convert customer requirements into clear technical specifications and use cases for internal teams.

  • Lead Agile Delivery: Oversee agile sprints and project timelines, ensuring timely and high-quality solution delivery.

  • Drive Adoption: Travel regionally to engage with users, onboard stakeholders, and gather direct product feedback for continuous improvement.

  • Collaborate Cross-Functionally: Serve as the bridge between customers and internal teams including data scientists, engineers, and product leads.

  • Act as Customer Champion: Build trusted relationships and ensure the long-term success of deployed solutions.

What We’re Looking For
  • Experience:

    • 3-5 years in customer success, product management, delivery consulting, or technical account management.

    • Experience at top-tier product or consulting organizations (e.g., Palantir, Google, Amazon, BCG, McKinsey, etc.)

  • Technical Fluency:

    • Strong understanding of AI/ML concepts, data workflows, and model deployment processes.

    • Ability to discuss and assess technical trade-offs with engineering teams.

  • Communication & Relationship Skills:

    • Proven ability to build rapport and trust with enterprise customers and senior stakeholders.

    • Excellent written and verbal communication, including the ability to simplify technical details for non-technical audiences.

  • Execution & Ownership:

    • Hands-on mindset with a bias for action and a strong sense of ownership.

    • Experience managing agile product or project delivery cycles.

  • Mobility:

    • Willingness to travel within the region to meet customers and oversee deployments on-site.

Why Join Us
  • Ship quickly, iterate constantly and see your work deployed at global scale

  • Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more

  • Accelerate your career with ownership based on impact, not tenure

  • Earn competitive compensation + meaningful equity in a high-growth company

  • Thrive in a culture built on speed, curiosity, and impact

If you want to see your work deployed at scale with real impact, Brain Co. is the place to build.

Top Skills

AI
Ml

Similar Jobs

20 Days Ago
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Expert/Leader
Expert/Leader
Big Data • Cloud • Software • Database
The Principal Customer Success Manager at MongoDB leads customer success initiatives, manages enterprise accounts, and cultivates executive relationships to ensure customer satisfaction and drive product adoption.
Top Skills: Cloud TechnologyDatabaseSaaS
5 Days Ago
Remote or Hybrid
Montréal, QC, CAN
Mid level
Mid level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Associate Customer Success Manager leads customer interactions, manages the Customer Impact Plan, ensures onboarding, drives customer success, and conducts business reviews to enhance satisfaction and retention.
Top Skills: AIData Analytics
13 Days Ago
Easy Apply
Hybrid
Toronto, ON, CAN
Easy Apply
Mid level
Mid level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
As an Enterprise Customer Success Manager, you'll enhance customer relationships, drive product adoption, and manage onboarding for enterprise clients while collaborating cross-functionally.
Top Skills: SaaS

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account