Samya.ai
Posted Sep 24, 2026
Customer Success Associate
New York, NY · Onsite · Early career · $120K–$160K
Help moving to NYC
Visa sponsorship is not stated in this posting.
“willing to relocate”
From the job posting.
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Pay
The base salary range for this role is $120,000-$160,000.
About the role
Role
Samaya AI builds Expert AI Agents for investment professionals, supporting high-stakes investment workflows across leading financial institutions. By combining finance-specific AI models with deep reasoning over institutional context and global markets, Samaya helps investors go from information to conviction. Samaya is deployed at enterprise scale across hedge funds, asset managers, and banks, including more than 12,000 professionals at one of the world's largest financial institutions.
This is an opportunity for someone early in their career who wants real ownership of enterprise relationships from day one. You'll join Samaya's customer success team, working directly with analysts and portfolio managers at some of the largest banks, hedge funds, and asset managers in the world, helping them bring Samaya into their day-to-day research and diligence workflows. You'll own relationships from onboarding through renewal, and you'll thrive here if you're curious about how AI is reshaping financial services and want to build credibility with sophisticated buyers early in your career.
Responsibilities
- Run regular customer touchpoints to collect feedback, support onboarding, and confirm satisfaction
- Track usage and account health to flag risk early and surface opportunities to deepen adoption
- Support day-to-day relationships across a book of enterprise accounts, working with users and stakeholders on how they apply Samaya in their research and diligence workflows
- Partner with sales on pre- and post-sales work, including pilots and onboarding
- Route customer feedback to product and engineering, translating it into concrete input on the roadmap
- Travel to customer sites as needed to support relationships in person
Experience
Required
- 2+ years of front-office experience, ideally in capital markets, at a bank, hedge fund, or comparable firm
- Strong communication and presentation skills, comfortable running a room or a demo
- Comfortable owning ambiguity
- Based in (or willing to relocate to) New York
Preferred
- Prior customer-facing, sales, or client-relationship experience
Compensation
The base salary range for this role is $120,000-$160,000.
Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.
Variable compensation and equity may also be included as part of the overall compensation package.
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 AI builds Expert AI Agents for investment professionals, supporting high-stakes investment workflows across leading financial institutions. By combining finance-specific AI models with deep reasoning over institutional context and global markets, Samaya helps investors go from information to conviction. Samaya is deployed at enterprise scale across hedge funds, asset managers, and banks, including more than 12,000 professionals at one of the world's largest financial institutions. Built by a team from Google DeepMind, Meta, Microsoft, and Stanford with 100+ papers and 50k+ citations, it achieves 98% accuracy on financial reasoning tasks where generic LLMs reach 53%. Backed by leading AI investors including NVIDIA, Databricks Ventures, NEA, Eric Schmidt, and Yann LeCun, Samaya continues to advance the next generation of AI for investment professionals.
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.