Enterprise Account Executive

Role

Samaya AI 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 for an ambitious seller ready to step fully into enterprise ownership. You'll join our GTM team early, when there's no playbook yet — and that's the point. You'll build it: defining how we sell, identifying new opportunities, and closing high-value deals with the most sophisticated financial institutions in the world. For the first 18 months the mandate is clear — drive revenue and build the business — with real room to grow from there. You'll thrive here if you're energized by ambiguity and want to own outcomes, not inherit process.

Responsibilities

• Own the full sales cycle - lead end-to-end, from lead generation and pipeline build through demo, negotiation, and close
• Build the playbook - define how we sell into financial institutions, codifying what works as you go rather than inheriting a process
• Sell to senior buyers - engage and influence decision-makers from portfolio managers to C-suite, holding your own as the technical voice in the room
• Run high-impact demos - demonstrate Samaya's capabilities credibly to technical and commercial audiences
• Expand accounts - strengthen and grow relationships with existing accounts alongside landing new logos
• Partner cross-functionally - work closely with Product and AI teams to deliver outstanding customer outcomes
• Bring market insight - feed customer needs, competitive positioning, and industry trends back to sharpen GTM strategy and the product roadmap

Experience

Required

• Financial services background - you've worked in or sold to hedge funds, banks, or asset managers, and understand their world and pain points firsthand
• Enterprise sales track record - 5+ years in B2B software sales carrying enterprise or large mid-market deals, ready to own the enterprise motion end to end
• Genuine AI enthusiasm - you actively use AI in your work and life and are energized to sell at the frontier, not just comfortable with it
• Gravitas to sell senior - consultative, credible, and able to hold your own as the technical voice in the room
• Consistent overperformance - a history of exceeding targets and contributing to a winning, high-performance culture
• Builder's instinct - takes full ownership, moves fast, and is energized rather than thrown by things changing quickly
• Clear communication - articulates complex ideas simply and compellingly in demos, pitches, and writing
• Data-driven - uses data and market insight to guide strategy and manage pipeline

Preferred

• High-growth startup experience - you've sold at an early or scaling startup and know how to operate without a safety net
• AI-native or technical product exposure - experience selling AI, data, analytics, or similarly technical products to enterprise buyers
• Stepping up into enterprise - a strong mid-market or commercial seller leveling into enterprise is welcome, provided the finance buyer knowledge and ambition are there

Personal Attributes

• Builder, not operator - you're drawn to the absence of process, not put off by it, and want to create structure where there's none
• Owns outcomes - senior enough to want this and run with it, without needing a team underneath you to execute
• Fast and adaptable - you're comfortable with pace, ambiguity, and high accountability
• Commercially relentless - you stay focused on revenue and what moves the deal forward
• Credible with sophisticated buyers - you earn trust quickly with senior, technical, demanding people
• Growth-oriented - hungry for the next step, energized by building something from the ground up

Compensation

On Target Earnings (OTE): $280K-$360K range based on experience (50/50 split - base/variable).

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

In addition to the base salary, you'll receive a generous commission plan with unlimited earning potential. Equity may also be considered as part of the overall compensation package.

Benefits

Health: Access comprehensive health insurance, including medical, dental, vision, flexible spending account (FSA), and short-term disability.

Wealth: Support for your long-term financial wellbeing with a 401(k) and pre-tax benefits (e.g. commuting).

Rest: Enjoy flexibility to rest and recharge as needed, with unlimited PTO (Paid Time Off).

Flexibility: Work flexibly with a hybrid setup - typically team members spend a minimum of three days in the office per week.

Travel: Grow and connect with a travel budget that encourages conference attendance, customer visits, and team gatherings.

Equipment: Create your ideal workspace with an office Equipment allowance to set up what works best for you.

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 builds Expert AI Agents that turn information from the global financial market into investment conviction.

The global financial market is the largest and most valuable information ecosystem in the world, connecting billions of people, influencing every type of productive human activity, and driving tens of trillions of dollars of value. At its core is investment decision-making: identifying areas of productive activity, allocating resources, carried out by millions of people across the globe.

But that process is at a breaking point. The past two decades have brought an exponential increase in market complexity: more information sources, more asset types, more disruptive themes like AI reshaping every corner of the market. For investors, this means exponentially more depth, breadth, and speed required on every decision.

The response is a forced tradeoff: zoom in on a sector or basket of companies and manage the flood, but lose sight of adjacent dynamics that move markets. Or zoom out to track broad themes, but lose the needle-in-a-haystack details that drive precise decisions. No market sector evolves in isolation, and this lack of a simultaneously zoomed-in and zoomed-out picture costs hundreds of billions in missed or suboptimal investment decisions every year.

Samaya was founded to reimagine investment decision-making across the global financial market. General-purpose AI can’t reason about cause and effect across complex economic systems, embed firm-specific context, or execute reliably over long-horizon workflows. We built something different: a purpose-built AI system combining proprietary financial reasoning models, a long-horizon execution engine with persistent memory, and full auditability. 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%. The result is AI that learns how each investor thinks and seamlessly takes them from information to conviction.

Our user base has scaled to 10,000+, with partnerships spanning top financial institutions worldwide, including Morgan Stanley. We’re backed by $43.5M in Series A funding led by NEA, with investors including Eric Schmidt, NVIDIA, Databricks, Yann LeCun, Jeff Dean, Marty Chavez, and Mark Cuban.

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.