Customer Success Manager

Samaya is building the first Expert Intelligence platform for Financial Services. Our users create teams of AI agents that supercharge financial research, discovery and analysis. We’re a high growth, world class AI team seeing incredible product traction with leading financial institutions. This is a rare opportunity to join the early GTM team at a high growth AI startup that is transforming financial services.

As Customer Success Manager at Samaya, you will play a critical role in deepening our enterprise relationships, driving user engagement, and synthesizing customer feedback to shape the product roadmap. You’ll manage and grow Samaya’s relationships with leading financial institutions and partner with product and engineering to drive platform growth.

Responsibilities

• Work with key enterprise stakeholders from users to C-suite to advise on AI’s capabilities and unlocking value with Samaya 


• Analyze customer feedback and usage data to distill insights and guide the product roadmap


• Proactively identify opportunities to strengthen engagement across customer teams and increase usage


• Track and analyze user behavior and account health to preempt issues and drive expansion


• Establish meeting cadences with customers to collect feedback, support implementation, and ensure satisfaction


• Partner with the sales team on pre-sales and post-sales efforts, including supporting pilots, warm touchpoints, and onboarding


• Help establish playbooks and processes that will become the foundations of the Customer Success function at Samaya

Experience

Required

• 5+ years experience in Customer Success, Account Management, or related client-facing roles


• Experience supporting early-stage sales or growth efforts in a startup environment


• Experience working with enterprise B2B software customers


• Demonstrated ability to build trust with enterprise customers and manage relationships with multiple stakeholders


• Proactive and organized, able to independently spot trends in usage and feedback and take initiative


• Strong written and verbal communication skills


• Comfortable navigating feedback loops across sales, product, and engineering teams

Preferred

• Background in financial services or working with data-intensive products


• Familiarity with customer engagement tools (e.g. CRM, usage analytics)

Compensation

The cash compensation range for this role is $100,000 to $175,000.

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

Bonus and equity components may also be considered as part of the overall compensation package.

Benefits

• Comprehensive health insurance coverage (medical, dental, vision, and short-term disability) to support your health and wellbeing


• Support your long-term financial well-being with 401K (US) and enhanced Pension contributions (UK)


• Flexibility to rest and recharge with unlimited PTO


• Travel budget to provide opportunities for learning and collaboration by attending conferences, visiting other offices, and more


• Office equipment allowance to enhance the comfort of your workspace


• Hybrid work environment to promote balance and flexibility, with typically 3 (or more) days in the office per week

Inclusive Hiring

Interview Accommodations: We are committed to ensuring an equitable selection process for everyone and welcome applicants from varied backgrounds to enrich our team. If you require accommodations or adjustments during our recruitment process, please inform us.

Equal Opportunity Employer: We do not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Visa Sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

About Samaya

Samaya is building the first Human-AI Knowledge Network – an information ecosystem to transform expert knowledge work.

Expert knowledge work drives trillions of dollars of economic activity. Teams of human experts painstakingly synthesize insights and drive decisions from vast volumes of noisy, real-time information. For examples, in financial services, expert analysts hone in on and use key economic insights to inform high-stake investment decisions. Although the volume of information only continues to grow, past technology has only had a passive role, and today's human experts struggle with information overload. We believe AI should take an active role in complex knowledge work, becoming an equal collaborator to human experts.

But such an AI will not "simply emerge" through scaling, or the development of general purpose LLMs. At Samaya, we are developing an AI-system purpose-built for "expert intelligence" -- for reasoning and interacting with real-world information networks. Our AI is designed to consume dense, noisy real-time information, distill key insights, form connections, contextualize findings, and make expert predictions. We are building a future where our expert intelligence AI can transform global knowledge work for the better.

Our Operating Principles

• Put Users first. Our users rely on us to do their jobs. We exist because our users trust us to help them achieve their goals. In return for this trust users place in us, we keep their needs as our top priority.


• Win as a collective. We are high achievers with a drive to succeed. We build strong bonds over this shared drive. We dive in to help when one of us needs it. We’re kind to each other and boost each other to succeed and grow professionally and personally. We build trust with each other by making commitments and consistently delivering on them. This trust means we genuinely support each other, embracing feedback as a tool for growth and improvement. We win by operating this way, as one team.


• Focus and iterate quickly. Bias for action makes us build and learn quickly. Iterating fast requires clarity on what outcomes we are targeting and why. Prioritizing the important things, taking full ownership and initiative, making fast initial progress, and rapid iterations lead to the best outcomes.


• Innovate Relentlessly. We pursue novel insights, challenging the status quo and reimagining how things are done. We aren’t attached to the past when improving our product and how we work in the future. We actively invest time in innovation, thinking “outside the box” to consistently raise our standards.


• Prioritize Outcomes over Egos . We are committed not to a person, an idea, or an opinion but to continuously making progress to our goals. Sometimes, our goals are ambiguous; in those moments, we iterate, learn, and move on to the next inquiry. We ask the tough questions with kindness, dropping our egos in our pursuit of evidence. For our business goals, we learn from our users. For our scientific goals, our understanding is built through rigorous experimentation, research, and observation. For our personal goals, we embrace candid feedback and collaborative learning to guide our progress.