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 a highly ambitious sales professional looking to accelerate their career. Join our founding GTM team and help spearhead Samaya’s rapid growth in financial services. You’ll play a pivotal role in defining the sales playbook, identifying new opportunities and closing high value deals. You’ll be working in a fast-paced, collaborative environment that values initiative, velocity and outcomes. Responsibilities Lead the full sales cycle, from lead generation to closing Develop strategies to engage new clients as well as expanding and strengthening relationships with existing accounts Work closely with users and executives at major financial institutions and help them leverage Samaya’s AI for competitive advantage Identify key opportunities, build a strategic pipeline, and influence key stakeholders for enterprise adoption Effectively demonstrate Samaya’s capabilities in high impact product demonstrations Work closely with product and AI teams to deliver outstanding customer outcomes Provide valuable insights on customer needs, competitive positioning, and industry trends to help refine our go-to-market strategy and product roadmap Experience 8+ years experience in Enterprise Sales at high growth companies Strong experience in enterprise software sales, ideally in financial services. (Familiarity with hedge funds, banks, asset management firms is a bonus) A consistent history of exceeding sales targets and contributing to a winning, high-performance culture Ability to articulate complex ideas in simple, compelling ways through presentations, pitches, and written communication Willing to take ownership and with a natural curiosity and drive to learn, adapt, and innovate in a fast-moving AI industry Skilled in using data and market insights to guide sales strategies and optimize pipeline management Strong ability to connect with and influence decision-makers, from portfolio managers to C-suite executives 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.

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